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false | 2012-03-13 19:42:42 | Haskell: Couldn't match expected type ``Int' with actual type ``Integer' | [
"haskell"
] | [
"Haskell"
] | One of the most frequent compilation error messages that I've been getting while working through the Project Euler problems in Haskell is the following:
[source,text]
----
Couldn't match expected type `Int' with actual type `Integer'
----
In http://projecteuler.net/problem=11[problem 11], for example, I define the grid of numbers like so:
[source,haskell]
----
grid = [[08,02,22,97,38,15,00,40,00,75,04,05,07,78,52,12,50,77,91,08],
[49,49,99,40,17,81,18,57,60,87,17,40,98,43,69,48,04,56,62,00],
[81,49,31,73,55,79,14,29,93,71,40,67,53,88,30,03,49,13,36,65],
[52,70,95,23,04,60,11,42,69,24,68,56,01,32,56,71,37,02,36,91],
[22,31,16,71,51,67,63,89,41,92,36,54,22,40,40,28,66,33,13,80],
[24,47,32,60,99,03,45,02,44,75,33,53,78,36,84,20,35,17,12,50],
[32,98,81,28,64,23,67,10,26,38,40,67,59,54,70,66,18,38,64,70],
[67,26,20,68,02,62,12,20,95,63,94,39,63,08,40,91,66,49,94,21],
[24,55,58,05,66,73,99,26,97,17,78,78,96,83,14,88,34,89,63,72],
[21,36,23,09,75,00,76,44,20,45,35,14,00,61,33,97,34,31,33,95],
[78,17,53,28,22,75,31,67,15,94,03,80,04,62,16,14,09,53,56,92],
[16,39,05,42,96,35,31,47,55,58,88,24,00,17,54,24,36,29,85,57],
[86,56,00,48,35,71,89,07,05,44,44,37,44,60,21,58,51,54,17,58],
[19,80,81,68,05,94,47,69,28,73,92,13,86,52,17,77,04,89,55,40],
[04,52,08,83,97,35,99,16,07,97,57,32,16,26,26,79,33,27,98,66],
[88,36,68,87,57,62,20,72,03,46,33,67,46,55,12,32,63,93,53,69],
[04,42,16,73,38,25,39,11,24,94,72,18,08,46,29,32,40,62,76,36],
[20,69,36,41,72,30,23,88,34,62,99,69,82,67,59,85,74,04,36,16],
[20,73,35,29,78,31,90,01,74,31,49,71,48,86,81,16,23,57,05,54],
[01,70,54,71,83,51,54,69,16,92,33,48,61,43,52,01,89,19,67,48]]
----
Which has the following type:
[source,haskell]
----
> :t grid
grid :: [[Integer]]
----
The problem is that I wrote some functions to pass the grid to which expect it to be an array of array of +++<cite>+++Ints+++</cite>+++. For example the following function helps find the diagonals left to right from our current position:
[source,haskell]
----
-- implementation of findValue and hasItem isn't relevant here...
diagonalAt :: Int -> Int -> [[Int]] -> [Int]
diagonalAt x y grid = [findValue x y grid z | z <- [0..(length grid)],
hasItem grid (x + z),
hasItem (grid !! (x + z)) (y + z)]
----
[source,text]
----
> diagonalAt 0 0 grid
Couldn't match expected type `Int' with actual type `Integer'
Expected type: [[Int]]
Actual type: [[Integer]]
In the third argument of `diagonalAt', namely `x'
In the expression: diagonalAt 0 0 x
----
But if we give a type definition instead of allowing it to be inferred...
[source,haskell]
----
grid :: [[Int]]
-- definition of grid as before
----
...then it will be of the type we want:
[source,text]
----
> :t grid
grid :: [[Int]]
----
Alternatively we can make use of the +++<cite>+++http://www.haskell.org/haskellwiki/Converting_numbers[fromIntegral]+++</cite>+++ function to convert from +++<cite>+++Integer+++</cite>+++ to +++<cite>+++Int+++</cite>+++ which in this situation leads to the following code:
[source,haskell]
----
> diagonalAt 0 0 (map (map fromIntegral) grid)
[8,49,31,23,51,3,67,20,97,45,3,24,44,52,26,32,40,4,5,48]
---- | null | null | [
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] | haskell-couldnt-match-expected-type-int-with-actual-type-integer | https://markhneedham.com/blog/2012/03/13/haskell-couldnt-match-expected-type-int-with-actual-type-integer |
false | 2012-03-13 22:55:10 | Functional Programming: Shaping the data to fit a function | [
"functional-programming",
"haskell"
] | [
"Haskell"
] | As I mentioned in my last post I've been working on Project Euler problem 11 and one thing I noticed was that I was shaping the data around a +++<cite>+++http://www.markhneedham.com/blog/2012/02/28/haskell-creating-a-sliding-window-over-a-collection/[windowed]+++</cite>+++ function since it seemed to fit the problem quite well.
http://projecteuler.net/problem=11[Problem 11] is defined like so:
____
In the 20x20 grid below, four numbers along a diagonal line have been marked in red. image:{{<siteurl>}}/uploads/2012/03/problem_11.gif[Problem 11,483] The product of these numbers is 26 63 78 14 = 1788696. What is the greatest product of four adjacent numbers in any direction (up, down, left, right, or diagonally) in the 20x20 grid?
____
I needed to get all the horizontals, verticals and diagonals into collections that I could then apply the function to and get the four adjacent numbers required by the problem.
That was reasonably easy for the horizontals and verticals:
[source,haskell]
----
leftToRight = concatMap (windowed 4) grid
topToBottom = concatMap (windowed 4) [[row !! (n-1) | row <- grid] | n <- [1..length grid]]
----
[source,haskell]
----
-- shortened for brevity
grid :: [[Int]]
grid = [[08,02,22,97,38,15,00,40,00,75,04,05,07,78,52,12,50,77,91,08],
....
[01,70,54,71,83,51,54,69,16,92,33,48,61,43,52,01,89,19,67,48]]
----
In the first case we're just running a map operation over each row and converting it into groups of 4 adjacent elements. By using +++<cite>+++concatMap+++</cite>+++ we can ensure that the result is flattened back into a single collection.
To get the top to bottom values I had to first create a new array of arrays built up using values at the same column index in each row before applying the windowed function.
I found it much more difficult to get the diagonals into the right shape but luckily I bumped into https://github.com/uday-rayala[Uday] who helped me figure it out.
We started off by working out how to calculate all the numbers diagonally left to right from a specific point which resulted in this function:
[source,haskell]
----
diagonalAt :: Int -> Int -> [[Int]] -> [Int]
diagonalAt x y grid = [findValue (x+z) (y+z) grid | z <- [0..(length grid)], hasItem grid (x + z) (y + z)]
----
We had to add a +++<cite>+++hasItem+++</cite>+++ function so that we didn't try and call +++<cite>+++findValue+++</cite>+++ on a position which didn't exist on the grid:
[source,haskell]
----
hasItemSingle :: [a] -> Int -> Bool
hasItemSingle array position = position >= 0 && (length array - 1) >= position
hasItem :: [[a]] -> Int -> Int -> Bool
hasItem array x y = hasItemSingle array x && hasItemSingle (array !! x) y
----
+++<cite>+++findValue+++</cite>+++ is just used to find the value at an (x,y) location:
[source,haskell]
----
findValue :: Int -> Int -> [[Int]] -> Int
findValue x y grid = (grid !! x) !! y
----
Now we had the ability to find out one diagonal we needed to find all the diagonals on the grid which we did like this:
[source,haskell]
----
diagonals :: [[Int]] -> [[Int]]
diagonals grid = filter (\x -> length x > 4) . map (\(x,y) -> diagonalAt x y grid) $ (diagonalPositions grid)
diagonalPositions :: [[Int]] -> [(Int, Int)]
diagonalPositions grid = [ (x,y) | x <- [0..(length grid)], y <- [0..length $ grid !! 0 ]]
diagonalValues = concatMap (windowed 4) (diagonals grid)
----
+++<cite>+++diagonalPositions+++</cite>+++ creates a sequence of pairs which contain all the different positions in the grid where we want to try and find a diagonal from. We then map over that in +++<cite>+++diagonals+++</cite>+++ and find the diagonal from each of those places.
We then had to do the same to find diagonals running from right to left:
[source,haskell]
----
diagonalUpwaysAt :: Int -> Int -> [[Int]] -> [Int]
diagonalUpwaysAt x y grid = [findValue (x+z) (y+(z * (-1))) grid | z <- [0,-1..(length grid * (-1))], hasItem grid (x + z) (y + (z *(-1)))
diagonalsUp :: [[Int]] -> [[Int]]
diagonalsUp grid = filter (\x -> length x > 4) . map (\(x,y) -> diagonalUpwaysAt x y grid) $ (diagonalPositions grid)
diagonalUpValues = concatMap (windowed 4) (diagonalsUp grid)
----
In this case instead of incrementing our position by 1 on the x and y axes we needed to decrement our position on the y axis so it'd find the value one row above us.
To find the maximum product of 4 adjacent numbers in the grid we need to do the following:
[source,haskell]
----
problem_11 = maximum $ map product $ topToBottom ++ leftToRight ++ diagonalValues ++ diagonalUpValues
----
[source,text]
----
> problem_11
70600674
----
Obviously there's a lot of duplication in this solution so another exercise for me is to try and make it a bit more concise!
I think I picked up this way of solving problems from playing around with clojure last year and it seems quite neat although I'm sure it might not seem that intuitive to someone who hadn't seen it before.
The code for the whole solution is https://gist.github.com/2032801[available as a gist]. | null | null | [
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] | functional-programming-shaping-the-data-to-fit-a-function | https://markhneedham.com/blog/2012/03/13/functional-programming-shaping-the-data-to-fit-a-function |
false | 2012-03-14 21:25:40 | Mercurial: hg push to Google Code | [
"mercurial",
"hg"
] | [
"Version Control"
] | I wanted to make a change to add +++<cite>+++flatMap+++</cite>+++ to +++<cite>+++Option+++</cite>+++ in https://code.google.com/p/totallylazy/[totallylazy] so I had to https://code.google.com/r/mhneedham-totally-lazy/[clone the repository] and make the change.
I thought I'd then be able to just push the change using my Google user name and password but instead ended up with the following error:
[source,text]
----
➜ mhneedham-totally-lazy hg push
pushing to https://m.h.needham@code.google.com/r/mhneedham-totally-lazy/
searching for changes
1 changesets found
http authorization required
realm: Google Code hg Repository
user: m.h.needham
password:
abort: HTTP Error 403: Forbidden
----
It turns out that you need to specifically set an option to use your Google account from the https://code.google.com/hosting/settings[settings page]:
image::{{<siteurl>}}/uploads/2012/03/googlecode.gif[Googlecode,600]
And then it works! | null | null | [
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] | mercurial-hg-push-to-google-code | https://markhneedham.com/blog/2012/03/14/mercurial-hg-push-to-google-code |
false | 2012-04-03 21:52:56 | Haskell: Print friendly representation of an Array | [
"haskell"
] | [
"Haskell"
] | Quite frequently I play around with 2D arrays in Haskell but I've never quite worked out how to print them in a way that makes it easy to see the contents.
I'm using the array from the 'Data.Array' module because it seems to be easier to transform them into a new representation if I want to change a value in one of the cells.
The function to create one therefore looks like this:
[source,haskell]
----
import Data.Array
grid :: Int -> a -> Array(Int, Int) a
grid size value = array ((0,0),(size-1,size-1)) [((x,y),value) | x<-[0..size-1], y<-[0..size-1]]
----
Which we can use like this:
[source,haskell]
----
> grid 2 0
array ((0,0),(1,1)) [((0,0),0),((0,1),0),((1,0),0),((1,1),0)]
----
I wanted to get the output to read like this:
[source,text]
----
0 0
0 0
----
I initially tried to override the 'Show' implementation but wasn't very successful in trying to do that - I'm not sure whether that's actually possible but someone on the IRC channel suggested I should probably try and write my own function to print it out.
I ended up with the following:
[source,haskell]
----
printGrid :: Show a => Array (Int, Int) a -> IO [()]
printGrid grid = sequence $ map (putStrLn . textRepresentation) $ toSimpleArray grid
toSimpleArray :: Array (Int, Int) a -> [[a]]
toSimpleArray grid = [[grid ! (x, y) | x<-[lowx..highx]] | y<-[lowy..highy]]
where ((lowx, lowy), (highx, highy)) = bounds grid
textRepresentation :: Show a => [a] -> String
textRepresentation row = foldl (\acc y -> acc ++ (show y) ++ " ") "" row
----
The +++<cite>+++toSimpleArray+++</cite>+++ function converts the array back into a format which is easier to deal with. So for a simple array:
[source,haskell]
----
> toSimpleArray (grid 2 0)
[[0,0],[0,0]]
----
We then map over the new array and apply +++<cite>+++textRepresentation+++</cite>+++ over each row to get a text representation.
The +++<cite>+++textRepresentation+++</cite>+++ function works like this:
[source,haskell]
----
> textRepresentation [1, 2, 3]
"1 2 3 "
----
After that we map +++<cite>+++putStrLn+++</cite>+++ over the result which gives us a collection of IO monads.
Unfortunately that still doesn't print the array out so we need +++<cite>+++sequence+++</cite>+++ which I came across in the http://learnyouahaskell.com/input-and-output[Learn You A Haskell] tutorial:
____
sequence takes a list of I/O actions and returns an I/O actions that will perform those actions one after the other. The result contained in that I/O action will be a list of the results of all the I/O actions that were performed.
____
And eventually this is how we use +++<cite>+++printGrid+++</cite>+++:
[source,haskell]
----
> printGrid $ grid 2 0
0 0
0 0
[(),()]
----
There must be ways to simplify some of that code so if you can see any let me know in the comments! | null | null | [
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] | haskell-print-friendly-representation-of-an-array | https://markhneedham.com/blog/2012/04/03/haskell-print-friendly-representation-of-an-array |
false | 2012-04-20 07:10:57 | neo4J: Searching for nodes by name | [
"neo4j",
"cypher"
] | [
"Software Development",
"neo4j"
] | As I mentioned in a post a few days ago I've been graphing connections between ThoughtWorks people using neo4j and wanted to build auto complete functionality so I can search for the names of people in the graph.
The solution I came up was to create a Lucene index with an entry for each node and a common property on each document in the index so that I'd be able to get all the index entries easily.
I created the index like this, using the https://github.com/maxdemarzi/neography/blob/master/lib/neography/rest.rb[neography gem]:
[source,ruby]
----
Neography::Rest.new.add_node_to_index("people", "type", "person", node)
----
I can then get all the names like this:
[source,ruby]
----
all_people = Neography::Rest.new.get_index("people", "type", "person").map { |n| n["data"]["name"] }
----
It seemed like there must be a better way to do this and http://twitter.com/#!/mesirii[Michael Hunger] was kind enough to show me a couple of cleaner solutions.
One way is to query the initial index rather than creating a new one:
[source,ruby]
----
all_people = Neography::Rest.new.find_node_index("people", "name:*").map { |n| n["data"]["name"] }
----
The 'find_node_index' method allows us to pass in a Lucene query which gets http://docs.neo4j.org/chunked/stable/rest-api-indexes.html#rest-api-find-node-by-query[executed via neo4j's REST API]. In this case we're using a wild card query on the 'name' property so it will return all documents.
This way of getting all the names seemed to be much more intensive than my other approach and when I ran it a few times in a row I was getting OutOfMemory errors. My graph only has a few thousand nodes in it so I'm not sure why that is yet.
I think it should be possible to query the Lucene index directly with the partial name but I was struggling to get spaces in the search term to encode correctly and was getting back no results.
Another approach is to use a cypher query to get a collection of all the nodes:
[source,ruby]
----
all_people = Neography::Rest.new.execute_query("start n=node(*) return n")["data"].map { |n| n[0]["data"]["name"] }
----
I imagine this approach wouldn't scale with graph size but for my graph it works just fine. | null | null | [
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] | neo4j-searching-for-nodes-by-name | https://markhneedham.com/blog/2012/04/20/neo4j-searching-for-nodes-by-name |
false | 2012-04-29 00:01:07 | Haskell: Colour highlighting when writing to the shell | [
"haskell"
] | [
"Haskell"
] | I spent a few hours writing a simple front end on top of the http://www.markhneedham.com/blog/2012/04/25/algorithms-rabin-karp-in-haskell/[Rabin Karp algorithm] so that I could show the line of the first occurrence of a pattern in a piece of text on the shell.
I thought it would be quite cool if I could highlight the appropriate text on the line http://www.debian-administration.org/articles/460[like how grep does] when the '--color=auto' flag is supplied.
We can make use of http://en.wikipedia.org/wiki/ANSI_escape_code[ANSI escape codes] to do this.
We need to construct an escape sequence which starts with the 'ESC' character, represented by decimal value 27 or hexidecimal value 1b, followed by a left bracket ("["):
____
"\x1b[" or "\27["
____
In the second part of the sequence we can choose http://en.wikipedia.org/wiki/ANSI_escape_code#CSI_codes[a variety of different options]. In this case we use the following:
____
CSI n [;k] m SGR -- Select Graphic Rendition Sets SGR parameters, including text color. After CSI can be zero or more parameters separated with ;. With no parameters, CSI m is treated as CSI 0 m (reset / normal), which is typical of most of the ANSI escape sequences.
____
To change the colour of the text we need to set 'k' to one of the following values:
* 30 - Black
* 31 - Red
* 32 - Green
* 33 - Yellow
* 34 - Blue
* 35 - Magenta
* 36 - Cyan
* 37 - White
For example, if we want to print all future text in green then we can use the following escape sequence:
[source,haskell]
----
> putStrLn $ "\x1b[32m"
----
image::{{<siteurl>}}/uploads/2012/04/green.jpg[Green,600]
Ideally we should then reset the terminal which means passing a 'k' value of 0.
So if we just want to highlight one word we'd end up with this:
[source,haskell]
----
> putStrLn $ "\x1b[32m" ++ "highlight me" ++ "\x1b[0m" ++ " but not me"
----
image::{{<siteurl>}}/uploads/2012/04/green2.png[Green2,600] | null | null | [
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] | haskell-colour-highlighting-when-writing-to-the-shell | https://markhneedham.com/blog/2012/04/29/haskell-colour-highlighting-when-writing-to-the-shell |
false | 2012-04-28 17:39:54 | Haskell: Int and Integer | [
"haskell"
] | [
"Haskell"
] | In my http://www.markhneedham.com/blog/2012/04/25/algorithms-rabin-karp-in-haskell/[last post about the Rabin Karp algorithm] I mentioned that I was having some problems when trying to write a hash function which closely matched its English description.
____
((rm-1 * ascii char) + (rm-2 * ascii char) + ... (r0 * ascii char)) % q where r = 256, q = 1920475943
____
This is my current version of the hash function:
[source,haskell]
----
hash = hash' globalR globalQ
hash' r q string m = foldl (\acc x -> (r * acc + ord x) `mod` q) 0 $ take m string
----
And my initial attempt to write the alternate version was this:
[source,haskell]
----
hash2 :: [Char] -> Int -> Int
hash2 = hash2' globalR globalQ
hash2' r q string m = (flip mod q . sum . map (\(pow, char) -> ord char * (r ^ pow)) . zip [m-1, m-2..0]) string
----
Unfortunately this version breaks down as we try to create hashes for bigger lists of characters:
[source,text]
----
> hash "markusaere" 10
849698536
----
[source,text]
----
> hash2 "markusaere" 10
1239828806
----
We can see what's going on if we execute the core bit of the hash function in the REPL:
[source,haskell]
----
> map (\(pow, char) -> ord char * 256 ^ pow) $ zip [9, 8..0] "markusaere"
[0,0,8214565720323784704,30117822508040192,128642860449792,493921239040,1627389952,6619136,29184,101]
----
In this case the hash value for the first character is:
[source,haskell]
----
> 256 ^ 9 * ord 'm'
0
----
Be default if we do calculations on integers the 'http://en.wikibooks.org/wiki/Haskell/A_Miscellany_of_Types#Integers[Int]' type is used:
____
"Int" is the more common 32 or 64 bit integer. Implementations vary, although it is guaranteed to be at least 30 bits.
____
The maximum value a 64 bit Int can hold is 2^63^, a value that we're exceeding with the first two calculations in our list.
Since our calculation has exceeded the maximum value of a 64 bit integer we need to http://www.haskell.org/tutorial/numbers.html[coerce] our calculation to use the 'Integer' type which has arbitrary precision up to the limit of the machine's memory.
We can use the 'toInteger' function to do this:
[source,haskell]
----
> toInteger (256 ^ 9) * toInteger (ord 'm')
514737946632791328292864
----
We can change the core of the function to use 'toInteger' like so:
[source,haskell]
----
> map (\(pow, char) -> toInteger (ord char) * 256 ^ pow) $ zip [9, 8..0] "markusaere"
[514737946632791328292864,1789334175149826506752,8214565720323784704,30117822508040192,128642860449792,493921239040,1627389952,6619136,29184,101]
----
We can then change the hash function to read like this:
[source,haskell]
----
hash2 :: [Char] -> Int -> Int
hash2 value m = fromInteger $ hash2' (toInteger globalR) (toInteger globalQ) value m
hash2' :: Integer -> Integer -> [Char] -> Int -> Integer
hash2' r q string m = (sum $ map (\(pow, char) -> toInteger (ord char) * toInteger (r ^ pow)) $ zip [m-1, m-2..0] string) `mod` q
----
When we call the function with the original parameters it now returns the correct answer:
[source,text]
----
> hash2 "markusaere" 10
849698536
---- | null | null | [
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] | haskell-int-and-integer | https://markhneedham.com/blog/2012/04/28/haskell-int-and-integer |
false | 2012-04-17 06:54:38 | neography/neo4j/Lucene: Getting a list of all the nodes indexed | [
"neo4j",
"neography",
"lucene"
] | [
"Software Development"
] | I've been playing around with neo4j using the https://github.com/maxdemarzi/neography[neography] gem to create a graph of all the people in ThoughtWorks and the connections between them based on working with each other.
I created a UI where you could type in the names of two people and see when they've worked together or the path between the shortest path between them if they haven't.
I thought it would be cool to have auto complete functionality when typing in a name but I couldn't figure out how to partially query the index of people's names that I'd created.
I have this Lucene index:
[source,ruby]
----
@neo = Neography::Rest.new
@neo.create_node_index("people", "fulltext", "lucene")
----
Which I add to like this:
[source,ruby]
----
node = @neo.create_node("name" => "Mark Needham")
@neo.add_node_to_index("people", "name", "Mark Needham", node)
----
[source,text]
----
> @neo.get_index("people", "name", "Mark Needham")
=> [{"indexed"=>"http://localhost:7474/db/data/index/node/people/name/Mark%20Needham/979", "outgoing_relationships"=>"http://localhost:7474/db/data/node/979/relationships/out", "data"=>{"name"=>"Mark Needham"}, "traverse"=>"http://localhost:7474/db/data/node/979/traverse/{returnType}", "all_typed_relationships"=>"http://localhost:7474/db/data/node/979/relationships/all/{-list|&|types}", "property"=>"http://localhost:7474/db/data/node/979/properties/{key}", "self"=>"http://localhost:7474/db/data/node/979", "properties"=>"http://localhost:7474/db/data/node/979/properties", "outgoing_typed_relationships"=>"http://localhost:7474/db/data/node/979/relationships/out/{-list|&|types}", "incoming_relationships"=>"http://localhost:7474/db/data/node/979/relationships/in", "extensions"=>{}, "create_relationship"=>"http://localhost:7474/db/data/node/979/relationships", "paged_traverse"=>"http://localhost:7474/db/data/node/979/paged/traverse/{returnType}{?pageSize,leaseTime}", "all_relationships"=>"http://localhost:7474/db/data/node/979/relationships/all", "incoming_typed_relationships"=>"http://localhost:7474/db/data/node/979/relationships/in/{-list|&|types}"}]
----
I came across http://www.jguru.com/faq/view.jsp?EID=587213[an old mailing list thread] which suggested the following solution:
____
One solution is to add a field with a known and constant value to each document in the index. Then searching for that field and value will give you all documents in the index.
____
I changed my code to do that:
[source,ruby]
----
node = @neo.create_node("name" => "Mark Needham")
@neo.add_node_to_index("people", "name", "Mark Needham", node)
@neo.add_node_to_index("people", "type", "person", node)
----
From my sinatra web app I then put the names of all the people in an http://stackoverflow.com/questions/5188211/persisting-variables-in-sinatra[application level variable] like so:
[source,ruby]
----
configure do
set :all_people, Neography::Rest.new.get_index("people", "type", "person").map { |n| n["data"]["name"] }
end
----
And then search through that like so:
[source,ruby]
----
get '/people' do
search_term = params["term"] ||= ""
settings.all_people.select { |p| p.downcase.start_with?(search_term.downcase) }.to_json
end
----
It works and since there's only one query to get the Lucene index when I first start the web server it's pretty quick but surely there's a less hacky/proper way? | null | null | [
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] | neographyneo4jlucene-getting-a-list-of-all-the-nodes-indexed | https://markhneedham.com/blog/2012/04/17/neographyneo4jlucene-getting-a-list-of-all-the-nodes-indexed |
false | 2012-04-17 07:22:12 | Algorithms: Flood Fill in Haskell - Abstracting the common | [
"haskell",
"algorithms"
] | [
"Haskell",
"Algorithms"
] | In the comments of http://www.markhneedham.com/blog/2012/04/07/algorithms-flood-fill-in-haskell/[my blog post describing the flood fill algorithm in Haskell] David Turner pointed out that the way I was passing the grid around was quite error prone.
[source,haskell]
----
floodFill :: Array (Int, Int) Colour -> (Int, Int) -> Colour -> Colour -> Array (Int, Int) Colour
floodFill grid point@(x, y) target replacement =
if((not $ inBounds grid point) || grid ! (x,y) /= target) then grid
else
gridNorth
where grid' = replace grid point replacement
gridEast = floodFill grid' (x+1, y) target replacement
gridWest = floodFill gridEast (x-1, y) target replacement
gridSouth = floodFill gridWest (x, y+1) target replacement
gridNorth = floodFill gridSouth (x, y-1) target replacement
----
I actually did pass the wrong grid variable around while I was writing it and ended up quite confused as to why it wasn't working as I expected.
David's suggestion based on the above version of the algorithm was that I might want to use the state monad to thread state rather than explicitly passing it around like I am here.
I had a go at writing the function using the state monad but realised while doing so that rather than doing that I could fold over a cells neighbours rather than using the state monad to thread state.
I didn't see the 'neighbours' concept the first time I wrote it but David http://hpaste.org/66803[wrote a version of the algorithm] in which he introduced that.
This is the resulting function:
[source,haskell]
----
floodFill :: Array (Int, Int) Colour -> (Int, Int) -> Colour -> Colour -> Array (Int, Int) Colour
floodFill grid point target replacement =
if(target == replacement) then
grid
else
let gridWithSquareReplaced = if onGrid point then grid // [(point, replacement)] else grid
validNeighbours = filter (onGrid `and` sameAsTarget) neighbours in
foldl (\grid point -> floodFill grid point target replacement) gridWithSquareReplaced validNeighbours
where neighbours = let (x,y) = point in [(x+1, y), (x-1, y), (x, y+1), (x, y-1)]
sameAsTarget point = grid ! point == target
onGrid = inRange $ bounds grid
and :: (a -> Bool) -> (a -> Bool) -> a -> Bool
and f g x = f x && g x
----
I initially get all of the neighbouring squares but then filter those out if they don't fit on the grid or aren't of the required colour. We can then use 'foldl' to iterate over each neighbour passing the grid along as the accumulator.
David also wrote a more succinct function to work out whether or not a value fits on the grid so I've stolen that as well!
I'm still not sure I totally understand when I should be using 'let' and 'where' but in this example the functions I've put in the 'where' section are helper functions whereas the values I defined in the 'let' section are domain concepts.
Whether that's the correct way to think of the two I'm not sure! | null | null | [
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] | algorithms-flood-fill-in-haskell-abstracting-the-common | https://markhneedham.com/blog/2012/04/17/algorithms-flood-fill-in-haskell-abstracting-the-common |
false | 2012-04-07 00:25:34 | Algorithms: Flood Fill in Haskell | [
"haskell",
"algorithms"
] | [
"Haskell",
"Algorithms"
] | http://en.wikipedia.org/wiki/Flood_fill[Flood fill] is an algorithm used to work out which nodes are connected to a certain node in a multi dimensional array. In this case we'll use a two dimensional array.
The idea is that we decide that we want to change the colour of one of the cells in the array and have its immediate neighbours who share its initial colour have their colour changed too i.e. the colour floods its way through the grid.
The algorithm is described on Wikipedia like so:
____
Flood-fill (node, target-color, replacement-color):
. If the color of node is not equal to target-color, return.
. Set the color of node to replacement-color.
. {blank}
** Perform Flood-fill (one step to the west of node, target-color, replacement-color).
** Perform Flood-fill (one step to the east of node, target-color, replacement-color).
** Perform Flood-fill (one step to the north of node, target-color, replacement-color).
** Perform Flood-fill (one step to the south of node, target-color, replacement-color).
. Return.+++<cite>+++replace+++</cite>++++++<cite>+++http://cvs.haskell.org/Hugs/pages/libraries/base/Data-Array.html#v%3Abounds[bounds]+++</cite>++++++<cite>+++toComplexArray+++</cite>+++https://github.com/mneedham/haskell/blob/master/PrintArray.hs[code for that is on github]+++<cite>+++printGrid+++</cite>+++http://www.markhneedham.com/blog/2012/04/03/haskell-print-friendly-representation-of-an-array/[in my last post]https://github.com/mneedham/haskell/blob/master/flood_fill.hs[my github haskell repository]
____ | null | null | [
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] | algorithms-flood-fill-in-haskell | https://markhneedham.com/blog/2012/04/07/algorithms-flood-fill-in-haskell |
false | 2012-04-09 22:45:07 | Just Observe | [
"software-development"
] | [
"Software Development"
] | One of the most common instincts of a developer when starting on a new team is to look at the way the application has been designed and find ways that it can be done differently.
Most often 'differently' means that a pattern used in a previous project will be favoured and while I think it's good to make use of experience that we've gained, we do miss out on some learning if we write every application the same way.
Therefore, unless I see a decision being made which is clearly going to lead to disaster later on, I now prefer to observe the approach being taken and understand its advantages and disadvantages before making a judgement.
A few years Jay Fields wrote a post titled 'http://blog.jayfields.com/2009/03/kill-your-darlings.html[Kill Your Darlings]' where he suggested the following:
____
You always gain by allowing someone to show you an alternative solution. If someone wants to solve a problem in a different way, there are several gains to be had. If their way is inferior, you have an opportunity to mentor a team-mate. If their way is equally elegant, you've gained another solution, or point of view that may be superior in the future. If their way is superior you learn something new and the codebase improves. In exchange for these gains you only need to give up time. Time is valuable, but it's also well spent on improving the ability of a team-mate or your personal ability.
____
He was talking in a slightly different context but it seems equally applicable here.
One example from the current project I'm working on is that we're not using an ORM tool but instead mapping from database queries to domain objects manually.
This is being done partly to get around the query optimisation problems we can end up with when using tools like Hibernate but it also means that we design our domain code properly and don't get tempted to make it match the database structure.
I initially thought that it was a strange decision to write code to do mapping when you have a tool to do it for you but it hasn't been as bad as I'd imagined although the data access code is pretty messy.
On the positive side we can directly measure the performance of each query, make the necessary tweaks, and then re-measure the performance much more easily this way.
The application is read only so we wouldn't have got to use the full 'CRUD' repertoire that Hibernate provides anyway.
It might not be the right choice for the next application that I work on but I'm glad I got the chance to see what an application written without an ORM looks like.
Just observe! | null | null | [
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] | just-observe | https://markhneedham.com/blog/2012/04/09/just-observe |
false | 2012-04-30 22:20:45 | gephi: Centring a graph around an individual node | [
"neo4j",
"graphs",
"gephi"
] | [
"Software Development",
"neo4j"
] | I spent some time recently playing around with http://gephi.org/[gephi] - an open source platform for creating visualisations of graphs - to get a bit more insight into the ThoughtWorks graph which I've created in neo4j.
I http://maxdemarzi.com/2012/04/12/using-sigma-js-with-neo4j/[followed Max De Marxi's blog post] to create a GEFX (Graph Exchange XML Format) file to use in gephi although I later learned that you can import directly from neo4j into gephi which I haven't tried yet.
I loaded it into gephi and this is what it looks like:
image::{{<siteurl>}}/uploads/2012/04/full-graph.jpg[Full graph,600]
image::{{<siteurl>}}/uploads/2012/04/filter-menu-top.jpg[Filter menu top,270]
There are massive numbers of connections between almost every node so it's pretty hard to see what's going on.
I wanted to be able to centre the graph around an individual person and see just the links related to them.
To do that we need to make use of an 'http://forum.gephi.org/viewtopic.php?t=286[ego] http://blog.ouseful.info/2010/05/10/getting-started-with-gephi-network-visualisation-app-%E2%80%93-my-facebook-network-part-iii-ego-filters-and-simple-network-stats/[filter]' so the first step is to make the filters menu visible by clicking 'Window > Filters'.
We can then choose the ego filter which sits under 'Library > Topology' and fill in the ID of the node that we want to centre the graph around as well as choose the depth of the traversal.
image::{{<siteurl>}}/uploads/2012/04/filter-menu-bottom.jpg[Filter menu bottom,257]
In this case any traversal above 1 will end up traversing the majority of the graph since the average distance between nodes in this graph is just above 2.5.
I run the 'Force Atlas' layout algorithm over it and this is what we end up with:
image::{{<siteurl>}}/uploads/2012/04/my-graph.jpg[My graph,545]
My graph shows some interesting clustering of nodes where the ones on the right are people I worked with in India, top left are people I worked with in Australia, bottom left people in the UK and the ones towards the lower middle are people I went to ThoughtWorks University with.
There are a load of other filters to choose from but the ego filter is pretty cool! | null | null | [
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] | gephi-centring-a-graph-around-an-individual-node | https://markhneedham.com/blog/2012/04/30/gephi-centring-a-graph-around-an-individual-node |
false | 2012-04-30 21:45:50 | Performance: Caching per request | [
"coding",
"software-development"
] | [
"Software Development"
] | A couple of years ago I wrote a post describing an approach my then colleague https://twitter.com/#!/christianralph[Christian Blunden] used to help improve the performance of an application where you try to http://www.markhneedham.com/blog/2010/07/10/performance-do-it-less-or-find-another-way/[do expensive things less or find another way to do them].
On the application I'm currently working on we load reference data from an Oracle database into memory based on configurations provided by the user.
There are multiple configurations and then multiple ways that those configurations can be priced so we have two nested for loops in which we load data and then perform calculations on it.
When profiling the application we realised that some of the database calls being made with the same parameters and were therefore loading back the same reference data that we'd already loaded.
The most obvious way to solve this problem would be to move the code out of the loop and make less calls to the database that way but logically the domain is expressed more clearly when it's inside the loop.
http://www.linkedin.com/pub/alex-harin/13/40b/716[Alex] therefore came up with an alternative approach where we wrap the database calling code in a caching decorator.
The caching decorator is a request scoped object so we're only caching those results for a short amount of time which means that we http://martinfowler.com/bliki/TwoHardThings.html[don't have to worry about cache invalidation] because it's thrown away when the request has been processed.
I've previously seen this problem solving by using a Hibernate second level cache which would cache results across requests.
In our application there are more likely to be calls to the database with the same parameters within the same request rather than across requests.
The load on the system is likely to come from complex requests where many prices needed to be calculated rather than from a huge frequency of requests
If that changes then we always have the option of caching at both levels but at the moment our current approach seems to work pretty well. | null | null | [
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] | performance-caching-per-request | https://markhneedham.com/blog/2012/04/30/performance-caching-per-request |
false | 2012-04-08 20:11:57 | Haskell: Processing program arguments | [
"haskell"
] | [
"Haskell"
] | My http://getprismatic.com/newsfeed[Prismatic news feed] recently threw up an interesting tutorial titled 'http://yannesposito.com/Scratch/en/blog/Haskell-the-Hard-Way/[Haskell the Hard Way]' which has an excellent and easy to understand section showing how to do IO in Haskell.
About half way down the page there's an exercise to write a program which sums all its arguments which I thought I'd have a go at.
We need to use the +++<cite>+++http://zvon.org/other/haskell/Outputsystem/getArgs_f.html[System.getArgs]+++</cite>+++ function to get the arguments passed to the program. It has the following signature:
[source,haskell]
----
> :t getArgs
getArgs :: IO [String]
----
Using that inside a 'do' block means that we can get the list of arguments as a List of String values.
We then need to work out how to convert the list of strings into a list of integers so that we can add them together.
The way I've done that before is with the +++<cite>+++read+++</cite>+++ function:
[source,haskell]
----
> map (\x -> read x :: Int) ["1", "2"]
[1,2]
----
That works fine as long as we assume that only numeric values will be passed as arguments but if not then we can end up with an exception:
[source,haskell]
----
> map (\x -> read x :: Int) ["1", "2", "blah"]
[1,2,*** Exception: Prelude.read: no parse
----
I wanted to try and avoid throwing an exception like that but instead add up any numbers which were provided and ignore everything else. The type signature of the function to process the inputs therefore needed to be:
____
[String] \-> [Maybe Int]
____
With a http://stackoverflow.com/questions/5121371/how-to-catch-a-no-parse-exception-from-the-read-function-in-haskell[bit of help from a Stack Overflow post] I ended up with the following code:
[source,haskell]
----
import Data.Maybe
intify :: [String] -> [Maybe Int]
intify = map maybeRead2
maybeRead2 :: String -> Maybe Int
maybeRead2 = fmap fst . listToMaybe . reads
----
+++<cite>+++reads+++</cite>+++ has the following signature:
[source,haskell]
----
> :t reads
reads :: Read a => ReadS a
----
which initially threw me off as I had no idea what 'ReadS' was. It's actually a synonym:
[source,haskell]
----
type ReadS a = String -> [(a,String)]
----
(defined in +++<cite>+++.http://hackage.haskell.org/trac/ghc/wiki/Building/GettingTheSources?redirectedfrom=GhcDarcs[/Text/ParserCombinators/ReadP.hs]+++</cite>+++)
In our case I thought it'd do something like this:
[source,haskell]
----
> reads "1"
[(1, "1")]
----
But defining the following in a file:
[source,haskell]
----
a :: [(Int, String)]
a = reads "1"
----
suggests that the string version gets lost:
[source,haskell]
----
> a
[(1,"")]
----
I'm not sure I totally understand how that works!
Ether way, we then take the list of tuples and convert it into a Maybe using +++<cite>+++listToMaybe+++</cite>+++. So if we'd just parsed "1" we might end up with this:
[source,haskell]
----
> listToMaybe [(1, "")]
Just (1,"")
----
I only have a basic understanding of +++<cite>+++fmap+++</cite>+++ yet because I'm not up to that chapter in 'http://learnyouahaskell.com/functors-applicative-functors-and-monoids[Learn Me A Haskell]'.
As far as I know it's used to apply a function to a value inside a container type object, i.e. the Maybe in this case, and then return the container type with its new value
In our case we start with 'Just(1, "")' and we want to get to 'Just 1' so we use the 'fst' function to help us do that.
The main method of the program reads like this to wire it all together:
[source,haskell]
----
main = do args <- getArgs
print (sum $ map (fromMaybe 0) $ (intify args))
----
I'm using +++<cite>+++http://www.haskell.org/ghc/docs/latest/html/libraries/base/Data-Maybe.html[fromMaybe]+++</cite>+++ to set a default value of 0 for any 'Nothing' values in the collection.
I compile the code like this:
[source,text]
----
> ghc --make learn_haskell_hard_way
[1 of 1] Compiling Main ( learn_haskell_hard_way.hs, learn_haskell_hard_way.o )
Linking learn_haskell_hard_way ...
----
And then run it:
[source,text]
----
>./learn_haskell_hard_way 1 2 3 4
10
> ./learn_haskell_hard_way 1 2 3 4 mark says hello 5
15
---- | null | null | [
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] | haskell-processing-program-arguments | https://markhneedham.com/blog/2012/04/08/haskell-processing-program-arguments |
false | 2012-04-24 07:17:24 | Algo Class: Start simple and build up | [
"algo-class"
] | [
"Software Development",
"Algorithms"
] | Over the last six weeks I've been working through Stanford's https://www.coursera.org/course/algo[Design and Analysis of Algorithms I] class and each week there's been a programming assignment on a specific algorithm for which a huge data set is provided.
For the first couple of assignments I tried writing the code for the algorithm and then running it directly against the provided data set.
As you might imagine it never worked first time and this approach led to me becoming very frustrated because there's no way of telling what went wrong.
By the third week I'd adapted and instead tested my code against a much smaller data set to check that the design of the algorithm was roughly correct.
I thought that I would be able to jump straight from the small data set to the huge one but realised that this sometimes didn't work for the following reasons:
. An inefficient algorithm will work fine on a small data set but grind to a halt on a larger data set. e.g. my implementation of the http://en.wikipedia.org/wiki/Strongly_connected_component[strongly connected components (SCC)] graph algorithm did a scan of a 5 million element list millions of times.
. An incorrect algorithm may still work on a small data set. e.g. my implementation of SCC didn't consider that some vertices wouldn't have forward edges and excluded them.
My colleague Seema showed me a better approach where we still use a small data set but think through all the intricacies of the algorithm and make sure our data set covers all of them.
For the SCC algorithm this meant creating a graph with 15 vertices where some vertices weren't strongly connected while others were connected to many others.
In my initial data set all of the vertices were strongly connected which meant I had missed some edge cases in the design of the algorithm.
Taking this approach was very effective for ensuring the correctness of the algorithm but it could still be inefficient.
I used http://visualvm.java.net/[Visual VM] to identify where the performance problems were.
In one case I ended up running out of memory because I had 3 different representations of the graph and was inadvertently using all of them.
I made the stupid mistake of not writing any automated tests for the smaller data sets. They would have been very helpful for ensuring I didn't break the algorithm when performance tuning it.
I should really have learnt that lesson by now given that I've been writing code in a test driven style for nearly six years but apparently I'd turned off that part of my brain.
Looking forward to Design and Analysis of Algorithms II! | null | null | [
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] | algo-class-start-simple-and-build-up | https://markhneedham.com/blog/2012/04/24/algo-class-start-simple-and-build-up |
false | 2012-04-23 00:20:57 | Coding: Is there a name for everything? | [
"coding",
"naming"
] | [
"Coding"
] | A month ago I wrote a post describing http://www.markhneedham.com/blog/2012/03/17/coding-wait-for-the-abstractions-to-emerge/[an approach my team has been taking to avoid premature abstractions] whereby we leave code inline until we know enough about the domain to pull out meaningful classes or methods.
Since I wrote that post we've come across a couple of examples where there doesn't seem to be a name to describe a data structure.
We are building a pricing engine where the input is a set of configurations and the output is a set of pricing rows associated with each configuration.
We modelled the problem using a List of http://code.google.com/p/totallylazy/source/browse/src/com/googlecode/totallylazy/Pair.java?r=ddc97667f03784cbf4db4906d2d09777926d0a17[Pairs] of Configuration/PricingItems:
[source,java]
----
List<Pair<Configuration, PricingItem>> configurationToPricingItems = buildThoseCombinations();
----
image::{{<siteurl>}}/uploads/2012/04/configuration-pricingrow.gif[Configuration pricingrow,221]
We don't need to do any lookups by Configuration - just show the results to the user - which is why we haven't used a Map.
Our object oriented background suggested that there should be a name in the business domain for this but when we spoke to our business analyst and subject matter expert it became clear that they didn't actually have a word.
Despite that it still feels strange to have to pass around a List of Pairs but I wonder if that's because in Java we tend to abstract concepts behind classes rather than because it makes sense to do so.
If we were using clojure then I don't think we'd feel as uncomfortable about passing around basic data structures because the language and the culture around it encourage this. We should only create a type when it's strictly necessary.
In this case it's a data structure to carry those combinations around and we don't actually apply any logic to the data structure as a whole, only to the individual entries.
We wrote the code about three weeks ago now and haven't experienced any difficulties in terms of the code being understandable or easy to work with.
I'm intrigued as to whether others have noticed a similar thing or if we aren't embracing Domain Driven Design fully and need to dig deeper to find a missing domain concept? | null | null | [
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] | coding-is-there-a-name-for-everything | https://markhneedham.com/blog/2012/04/23/coding-is-there-a-name-for-everything |
false | 2012-04-15 14:22:45 | Haskell: A simple parsing example using pattern matching | [
"haskell"
] | [
"Haskell"
] | As part of https://code.google.com/codejam/contest/1460488/dashboard#s=p1[the second question in the Google Code Jam] I needed to be able to parse lines of data which looked like this:
[source,text]
----
3 1 5 15 13 11
----
where
____
The first integer will be N, the number of Googlers, and the second integer will be S, the number of surprising triplets of scores. The third integer will be p, as described above. Next will be N integers ti: the total points of the Googlers.
____
This seemed like it should be easy to do but my initial search led me to the http://book.realworldhaskell.org/read/using-parsec.html[Parsec chapter] in Real World Haskell which seemed a bit over the top for my problem.
All we really need to do is split on a space and then extract the parts of the resulting list.
I thought there'd be a 'split' function to do that in the base libraries but if there is I couldn't see it.
However, there are a bunch of useful functions in the 'http://hackage.haskell.org/packages/archive/split/0.1.4.2/doc/html/Data-List-Split.html[Data.List.Split]' module which we can install using http://www.haskell.org/cabal/[cabal] - a RubyGems like tool which came with my Haskell installation.
Installing the http://hackage.haskell.org/package/split-0.1.4.2[split module] was as simple as:
[source,text]
----
cabal update
cabal install split
----
There's a list of all the packages available through cabal http://hackage.haskell.org/package/[here].
I needed the +++<cite>+++splitOn+++</cite>+++ function:
[source,text]
----
import Data.List.Split
> :t splitOn
splitOn :: Eq a => [a] -> [a] -> [[a]]
----
We can then split on a space and extract the appropriate values using pattern matching like so:
[source,haskell]
----
let (_:surprisingScores:p:googlers) = map (\x -> read x :: Int) $ splitOn " " "3 1 5 15 13 11"
----
[source,text]
----
> surprisingScores
1
----
[source,text]
----
> p
5
----
[source,text]
----
> googlers
[15,13,11]
---- | null | null | [
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] | haskell-a-simple-parsing-example-using-pattern-matching | https://markhneedham.com/blog/2012/04/15/haskell-a-simple-parsing-example-using-pattern-matching |
false | 2012-04-15 13:44:09 | Haskell: Reading in multiple lines of arguments | [
"haskell"
] | [
"Haskell"
] | I've mostly avoided doing any I/O in Haskell but as https://code.google.com/codejam/contest/1460488/dashboard#s=p1[part of the Google Code Jam] I needed to work out how to read a variable number of lines as specified by the user.
The input looks like this:
[source,text]
----
4
3 1 5 15 13 11
3 0 8 23 22 21
2 1 1 8 0
6 2 8 29 20 8 18 18 21
----
The first line indicates how many lines will follow. In this case we need to read in 4 lines.
The function to parse the input needed a type of 'IO [String]'. This was one of my first attempts:
[source,haskell]
----
readInput = do
line <- getLine
let count :: Int
count = read line
return $ [getLine | x <- [1..count]]
----
Unfortunately that doesn't have the correct signature:
[source,text]
----
> :t readInput
readInput :: IO [IO String]
----
I thought I might be able to read the value from +++<cite>+++getLine+++</cite>+++ and return a collection of those but that didn't even compile:
[source,haskell]
----
readInput = do
line <- getLine
let count :: Int
count = read line
return $ [do line <- getLine; line | x <- [1..count]]
----
[source,text]
----
Couldn't match expected type `IO b0' with actual type `[Char]'
Expected type: IO b0
Actual type: String
In the expression: line
In the expression:
do { line <- getLine;
line }
----
I didn't really understand what the error message was saying so I removed the syntactic sugar that 'do' provides and replaced it with the equivalent function calls.
[source,haskell]
----
readInput = do
line <- getLine
let count :: Int
count = read line
return $ [getLine >>= \line -> line | x <- [1..count]]
----
[source,text]
----
Couldn't match expected type `IO b0' with actual type `[Char]'
Expected type: IO b0
Actual type: String
In the expression: line
In the second argument of `(>>=)', namely `\ line -> line'
----
+++<cite>+++getLine+++</cite>+++ returns us an IO Monad and '>>=' allows us to read a value from a Monad. However, it expects the function passed as its second argument to return a Monad which leaves us in the same problematic situation!
[source,haskell]
----
readInput = do
line <- getLine
let count :: Int
count = read line
return $ [getLine >>= \line -> return line | x <- [1..count]]
----
[source,text]
----
> :t readInput
readInput :: IO [IO String]
----
I eventually came across http://stackoverflow.com/questions/9666034/haskell-replicatem-io[a StackOverflow post which covered similar ground] and used the +++<cite>+++http://www.haskell.org/ghc/docs/latest/html/libraries/base/Control-Monad.html#v:replicateM[replicateM]+++</cite>+++ function to solve the problem.
[source,text]
----
> :t replicateM
replicateM :: Monad m => Int -> m a -> m [a]
----
This is the function I ended up with:
[source,haskell]
----
readInput :: IO [String]
readInput = do
line <- getLine
let count :: Int
count = read line
lines <- replicateM (count) $ do
line <- getLine
return line
return lines
----
If we wanted to print the arguments back to the user we could define our main function like so:
[source,haskell]
----
main = do
lines <- readInput
mapM_ (\(idx, line) -> putStrLn $ "Arg #" ++ show idx ++ " " ++ line) (zip [1..] lines)
----
[source,text]
----
> ./google_code_jam
2
Mark
Needham
Arg #1 Mark
Arg #2 Needham
---- | null | null | [
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] | haskell-reading-in-multiple-lines-of-arguments | https://markhneedham.com/blog/2012/04/15/haskell-reading-in-multiple-lines-of-arguments |
false | 2012-04-14 10:21:40 | Ruby: neo4j gem - LoadError: no such file to load -- active_support/core_ext/class/inheritable_attributes | [
"ruby"
] | [
"Ruby",
"neo4j"
] | I've been playing around with neo4j again over the past couple of days using the https://github.com/andreasronge/neo4j[neo4j.rb] gem to build up a graph.
I installed the gem but then ended up with the following error when I tried to 'require neo4j' in 'irb':
[source,Text]
----
LoadError: no such file to load -- active_support/core_ext/class/inheritable_attributes
require at org/jruby/RubyKernel.java:1033
require at /Users/mneedham/.rbenv/versions/jruby-1.6.7/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:36
(root) at /Users/mneedham/.rbenv/versions/jruby-1.6.7/lib/ruby/gems/1.8/gems/neo4j-1.3.1-java/lib/neo4j.rb:9
require at org/jruby/RubyKernel.java:1033
require at /Users/mneedham/.rbenv/versions/jruby-1.6.7/lib/ruby/gems/1.8/gems/neo4j-1.3.1-java/lib/neo4j.rb:59
(root) at src/main/ruby/neo_test.rb:2
----
It seems a few others https://github.com/andreasronge/neo4j/issues/150[have come across this problem as well] and the problem seems to be that ActiveSupport 3.2 isn't yet supported by the gem so we need to use an earlier version of that.
There were a few suggestions in the comments but it was the following that worked for me:
[source,text]
----
sudo gem uninstall railties
sudo gem install railties --version 3.1
---- | null | null | [
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] | ruby-neo4j-gem-loaderror-no-such-file-to-load-active_supportcore_extclassinheritable_attributes | https://markhneedham.com/blog/2012/04/14/ruby-neo4j-gem-loaderror-no-such-file-to-load-active_supportcore_extclassinheritable_attributes |
false | 2012-04-25 21:28:42 | Algorithms: Rabin Karp in Haskell | [
"haskell",
"algorithms"
] | [
"Haskell",
"Algorithms"
] | I recently came across http://java.dzone.com/articles/algorithm-week-rabin-karp[a blog post describing the Rabin Karp algorithm] - an algorithm that uses hashing to find a pattern string in some text - and thought it would be interesting to try and write a version of it in Haskell.
This algorithm is typically used when we want to search for multiple pattern strings in a text e.g. when detecting plagiarism or a primitive way of detecting code duplication but my initial version only lets your search for one pattern.
____
For text of length n and p patterns of combined length m, its average and best case running time is O(n+m) in space O(p), but its worst-case time is O(nm)
____
[source,text]
----
function RabinKarp(string s[1..n], string sub[1..m])
hsub := hash(sub[1..m]); hs := hash(s[1..m])
for i from 1 to n-m+1
if hs = hsub
if s[i..i+m-1] = sub
return i
hs := hash(s[i+1..i+m])
return not found
----
On line 2 we compute the initial hash value for the pattern and for the first +++<cite>+++m+++</cite>+++ characters of the text where +++<cite>+++m+++</cite>+++ represents the number of characters in the pattern.
We then work through the text comparing the pattern hash with our current version of the text hash each time.
If they match then we check that the characters in those positions also match, since two different strings can hash to the same value, and if they do then we're done.
Line 7 is the interesting line because if we recalculate the hash from scratch each time then it will take O(m) time which means the whole algorithm will take O(nm) time since it's called in a loop.
We therefore need to use a http://en.wikipedia.org/wiki/Rolling_hash[rolling hash] which will allow us to work out the value of the next hash from the current one.
For example if we're searching for a three letter pattern in the text 'markus' then on our first iteration of the loop we'll have +++<cite>+++hash("mar")+++</cite>+++ and on the second iteration we need to work out +++<cite>+++hash("ark")+++</cite>+++.
The hash of "mar" already contains the hash value of "ar" so we need to remove the hash value of the "m" and then add the hash value of "k" to get our new hash value.
I used http://algs4.cs.princeton.edu/53substring/RabinKarp.java.html[this Java version of the algorithm] as a template.
This is the main function:
[source,haskell]
----
import Data.Char
import Data.List
import Data.Maybe
rabinKarp :: String -> String -> Int
rabinKarp text pattern =
if pattern == "" then -1
else fromMaybe (-1) $ mapOnMaybe fst $ find matchingString $ zip [0..] $ scanl nextHash (hash text m) $ windowed (m+1) text
where n = length text
m = length pattern
nextHash currentHash chars = reHash currentHash (head chars) (last chars) m
matchingString (offset, textHash) = hash2 pattern m == textHash && pattern == subString text offset m
----
I applied the http://www.markhneedham.com/blog/2012/02/28/haskell-creating-a-sliding-window-over-a-collection/[windowed function] to the text to break it down into a collection of smaller strings which included the next character that we would need to look at.
e.g. if we were searching for a 3 character pattern in "markusauerelius" then this would be the collection of values we iterate over.
[source,haskell]
----
windowed 4 "markusauerelius"
["mark","arku","rkus","kusa","usau","saue","auer","uere","erel","reli","eliu","lius"]
----
I then use scanl to apply a reduction over that collection, passing in the hash of the previous 3 characters each time in this example. I used scanl instead of foldl so that I could see the value of the hash on each iteration rather than only at the end.
Next I use a zip to get the indexes of each letter in the text and then I look for the first entry in the collection which matches the pattern hash and has the same sequence of characters.
The +++<cite>+++mapToMaybe+++</cite>+++ is used to grab the index of the match and then we return a '-1' if there is no match in the last bit of the line.
I'm assuming that scanl is lazily evaluated and in this case will therefore only evaluate up to where a match is found - if that assumption's wrong then this version of Rabin Karp is very inefficient!
The +++<cite>+++hash+++</cite>+++ and +++<cite>+++reHash+++</cite>+++ functions referenced above are defined like so:
[source,haskell]
----
globalQ = 1920475943
globalR = 256
hash = hash' globalR globalQ
hash' r q string m = foldl (\acc x -> (r * acc + ord x) `mod` q) 0 $ take m string
----
[source,haskell]
----
> hash "markusaerelius" 3
7168370
----
Written in English this is the definition of the hash function:
____
((r^m-1^ * ascii char) + (r^m-2^ * ascii char) + \... (r^0^ * ascii char)) % q where r = 256, q = 1920475943
____
Which translates to the following in Haskell:
____
((256^2^ * ord 'm') + (256^1^ * ord 'a') + (256^0^ * ord 'r')) `mod` 1920475943
____
I was having trouble with casting bigger values when I wrote a function which described this more explicitly which is why the current 'hash' function applies the modulo function on each iteration.
The +++<cite>+++reHash+++</cite>+++ function is defined like this:
[source,haskell]
----
reHash = reHash' globalR globalQ
reHash' r q existingHash firstChar nextChar m =
(takeOffFirstChar `mod` fromIntegral q * fromIntegral r + ord nextChar) `mod` fromIntegral q
where
rm = if m >0 then (fromIntegral r ^ fromIntegral (m-1)) `mod` fromIntegral q else 0
takeOffFirstChar = existingHash - fromIntegral rm * ord firstChar
----
In English:
____
reHash = ((existingHash - ((r^m-1^ % q) * ascii firstChar)) % q + (r * ascii nextChar)) % q
____
First we remove the hash of the first character - which has a value of 'r^m-1^ * ascii char' from our hash function - and then we multiply the whole thing by 'r' to push each character up by one position
e.g. the 2nd character would initially have a hash value of 'r^m-2^ * ascii char'. We multiply by 'r' so it now has a hash value of 'r^m-1^ * ascii char'.
Then we add the ascii value of the next character along and we have our new hash value.
We can compare the results we get from using +++<cite>+++hash+++</cite>+++ and +++<cite>+++reHash+++</cite>+++ to check it's working:
[source,text]
----
> hash "mar" 3
7168370
> hash "ark" 3
6386283
----
[source,text]
----
> reHash 7168370 'm' 'k' 3
6386283
----
I hardcoded 'globalQ' to make life a bit easier for myself but in a proper implementation we'd randomly generate it.
'globalR' would be constant and I wanted it to be available to the +++<cite>+++hash+++</cite>+++ and +++<cite>+++reHash+++</cite>+++ functions without needed to be passed explicitly which is why I've partially applied +++<cite>+++hash'+++</cite>+++ and +++<cite>+++reHash'+++</cite>+++ to achieve this.
We can then run the algorithm like so:
[source,haskell]
----
> rabinKarp "markusaerelius" "sae"
5
----
[source,haskell]
----
> rabinKarp "markusaerelius" "blah"
-1
----
My whole solution is available on http://hpaste.org/67606[hpaste] and as usual if you see any ways to code this better please let me know. | null | null | [
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] | algorithms-rabin-karp-in-haskell | https://markhneedham.com/blog/2012/04/25/algorithms-rabin-karp-in-haskell |
false | 2012-05-05 13:20:41 | neo4j: What question do you want to answer? | [
"neo4j"
] | [
"neo4j"
] | Over the past few weeks I've been modelling ThoughtWorks project data in http://neo4j.org/[neo4j] and I realised that the way that I've been doing this is by considering *what question I want to answer* and then building a graph to answer it.
When I first started doing this the main question I wanted to answer was 'how connected are people to each other' which led to me modelling the data like this:
image::{{<siteurl>}}/uploads/2012/05/initial.png[Initial,413]
The 'colleagues with' relationship stored information about the project the two people had worked on together and how long they'd worked together.
This design was fine while that was the only question I wanted to answer but after I showed it to a few people it became clear that there were other questions we could ask which would be difficult to answer with it designed this way.
e.g.
* Which people on project X have I never worked with?
* Which person has worked for client X for the longest?
* Which people worked together on the same client if not the same project?
I therefore need to make 'client' and 'project' first class entities in the graph rather than just being there implicitly which favours a design more along these lines:
image::{{<siteurl>}}/uploads/2012/05/initial1.png[Initial,459]
It makes it a little more difficult to answer the initial question about connections between people but opens up the answers to other questions such as the ones detailed above.
I'm still getting used to this way of modelling data but it feels like you're driven towards designing your data in a way that's useful to you as opposed to the relational approach where you tend to model relations and then work out what you want to do with the data. | null | null | [
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] | neo4j-what-question-do-you-want-to-answer | https://markhneedham.com/blog/2012/05/05/neo4j-what-question-do-you-want-to-answer |
false | 2012-05-20 19:09:52 | Haskell: My first attempt with QuickCheck and HUnit | [
"haskell"
] | [
"Haskell"
] | As I http://www.markhneedham.com/blog/2012/05/16/haskell-writing-a-custom-equality-operator/[mentioned in a blog post a few days] I've started learning QuickCheck with the http://batterseapower.github.com/test-framework/[test-framework] package as suggested by David Turner.
I first needed to install test-framework and some dependencies using +++<cite>+++http://www.haskell.org/cabal/[cabal]+++</cite>+++:
[source,haskell]
----
> cabal install test-framework
> cabal install test-framework-quickcheck
> cabal install test-framework-hunit
----
I thought it'd be interesting to try and write some tests around the http://www.markhneedham.com/blog/2012/02/28/haskell-creating-a-sliding-window-over-a-collection/[windowed function that I wrote a few months ago]:
+++<cite>+++Windowed.hs+++</cite>+++
[source,haskell]
----
module Windowed (windowed) where
windowed :: Int -> [a] -> [[a]]
windowed size [] = []
windowed size ls@(x:xs) =
if length ls >= size then (take size ls) : windowed size xs
else windowed size x
----
I wrote my first property like so:
[source,haskell]
----
import Windowed
import Test.Framework (defaultMain, testGroup)
import Test.Framework.Providers.QuickCheck (testProperty)
import Test.QuickCheck
main = defaultMain tests
tests = [
testGroup "windowed" [
testProperty "should not window if n is bigger than list size" prop_nothing_if_n_too_large
]
]
prop_nothing_if_n_too_large n xs = n > length xs ==> windowed n xs == []
----
And tried to compile the file:
[source,text]
----
ghc -package test-framework -package test-framework-quickcheck -threaded WindowedQC.hs -o Windowed
----
Which resulted in this compilation error:
[source,text]
----
WindowedQC.hs:16:17:
No instance for (QuickCheck-1.2.0.1:Test.QuickCheck.Testable
(Gen Prop))
arising from a use of `testProperty'
Possible fix:
add an instance declaration for
(QuickCheck-1.2.0.1:Test.QuickCheck.Testable (Gen Prop))
----
According to the http://batterseapower.github.com/test-framework/[test-framework home page] this error happens when we have more than one version of QuickCheck installed so we need to tell 'ghc' which one to use:
[source,text]
----
ghc -package test-framework -package test-framework-quickcheck -package QuickCheck-1.2.0.1 -threaded WindowedQC.hs -o Windowed
----
That solved the first compilation problem but I still had another:
[source,text]
----
WindowedQC.hs:16:17:
Ambiguous type variable `a0' in the constraints:
(Arbitrary a0) arising from a use of `testProperty'
at WindowedQC.hs:12:17-28
(Show a0) arising from a use of `testProperty'
at WindowedQC.hs:12:17-28
(Eq a0) arising from a use of `prop_nothing_if_n_too_large'
at WindowedQC.hs:12:80-106
Probable fix: add a type signature that fixes these type variable(s)
----
The way to solve this problem is to https://raw.github.com/batterseapower/test-framework/master/example/Test/Framework/Example.lhs[explicitly state which types will be passed to the property] like so:
[source,haskell]
----
prop_nothing_if_n_too_large n xs = n > length xs ==> windowed n xs == []
where types = (xs :: [Int], n :: Int)
----
I eventually ended up with the following:
+++<cite>+++WindowedQC.hs+++</cite>+++
[source,haskell]
----
import Windowed
import Test.Framework (defaultMain, testGroup)
import Test.Framework.Providers.QuickCheck (testProperty)
import Test.QuickCheck
import Test.Framework.Providers.HUnit
import Test.HUnit
main = defaultMain tests
tests = [
testGroup "windowed" [
testProperty "should not window if n is bigger than list size" prop_nothing_if_n_too_large,
testProperty "should create sub arrays the size of window" prop_size_of_sub_arrays_is_n,
testProperty "should group adjacent items into windows" prop_groups_adjacent_items,
testCase "should window a simple list" test_should_window_simple_list
]
]
prop_groups_adjacent_items n xs = n < length xs ==>
not (null xs) ==>
n > 0 ==> (last $ last $ windowed n xs) == last xs
where types = (xs :: [Int], n :: Int)
prop_nothing_if_n_too_large n xs = n > length xs ==> windowed n xs == []
where types = (xs :: [Int], n :: Int)
prop_size_of_sub_arrays_is_n n xs = n > 0 ==> all (\subArray -> length subArray == n) (windowed n xs)
where types = (xs :: [Int], n :: Int)
test_should_window_simple_list =
windowed 2 [1..10] @?= [[1,2], [2,3], [3,4], [4,5], [5,6], [6,7], [7,8], [8,9], [9,10]]
----
I initially only wrote QuickCheck properties but I wasn't satisfied that just passing the properties I've written would guarantee the function is working as expected.
The first property does a simple check that the last item from the windowed function is the same as the last item in the list assuming that the list isn't empty, that we're using a positive n value and our window size is smaller than the list size.
The second checks that we end up with an empty list if we try to window to a size bigger than the list and the third checks that each of the sub arrays is the correct size.
I wasn't sure how to write a QuickCheck property that would test the values of the individual sub arrays so I ended up writing a http://hunit.sourceforge.net/[HUnit] test instead.
If you know how I could achieve the same thing using QuickCheck please let me know.
We can then run all the tests like so:
[source,text]
----
> ./Windowed
windowed:
should not window if n is bigger than list size: [OK, passed 100 tests]
should create sub arrays the size of window: [OK, passed 100 tests]
should group adjacent items into windows: [OK, passed 100 tests]
should window a simple list: [OK]
Properties Test Cases Total
Passed 3 1 4
Failed 0 0 0
---- | null | null | [
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] | haskell-my-first-attempt-with-quickcheck-and-hunit | https://markhneedham.com/blog/2012/05/20/haskell-my-first-attempt-with-quickcheck-and-hunit |
false | 2012-05-27 22:16:38 | Haskell: Debugging code | [
"haskell"
] | [
"Haskell"
] | In my http://www.markhneedham.com/blog/2012/05/20/haskell-my-first-attempt-with-quickcheck-and-hunit/[continued attempts to learn QuickCheck], one thing I've been doing is comparing the results of my http://www.markhneedham.com/blog/2012/05/07/haskell-maximum-int-value/[brute force] and http://www.markhneedham.com/blog/2012/05/09/haskell-closest-pairs-algorithm/[divide & conquer versions] of the closest pairs algorithm.
I started with this property:
[source,haskell]
----
let prop_dc_bf xs = (length xs > 2) ==> (fromJust $ bfClosest xs) == dcClosest xs
----
And then ran it from GHCI, which resulted in the following error:
[source,text]
----
> quickCheck (prop_dc_bf :: [(Double, Double)] -> Property)
*** Failed! Falsifiable (after 8 tests and 19 shrinks):
[(-165.0,8.0),(5.0,47.0),(6.0,0.0),(8.0,0.0),(2.0,1.0),(-129.0,17.0),(-15.0,11.0)]
----
I wasn't really sure where to start to work out what had gone wrong but I eventually came across Debug.Trace which has the 'http://www.haskell.org/ghc/docs/latest/html/libraries/base/Debug-Trace.html#v%3Atrace[trace]' function which I found quite useful.
____
trace :: String \-> a \-> aSource The trace function outputs the trace message given as its first argument, before returning the second argument as its result. For example, this returns the value of f x but first outputs the message. trace ("calling f with x = " ++ show x) (f x)
____
The initial divide and conquer algorithm read like this:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> Pair a
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = foldl (\closest (p1:p2:_) -> minimumBy (compare `on` distance') [closest, Pair p1 p2])
closestPair
(windowed 2 pairsWithinMinimumDelta)
where sortedByX = sortBy compare pairs
(leftByX:rightByX:_) = chunk (length sortedByX `div` 2) sortedByX
closestPair = minimumBy (compare `on` distance') [closestLeftPair, closestRightPair]
where closestLeftPair = dcClosest leftByX
closestRightPair = dcClosest rightByX
pairsWithinMinimumDelta = sortBy (compare `on` snd) $ filter withinMinimumDelta sortedByX
where withinMinimumDelta (x, _) = abs (xMidPoint - x) <= distance' closestPair
where (xMidPoint, _) = last leftByX
----
So I put a 'trace' before the 'foldl' function to see what was being passed to it:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> Pair a
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = trace ("passed in the following: " ++ show (windowed 2 pairsWithinMinimumDelta))
foldl (\closest (p1:p2:_) -> minimumBy (compare `on` distance') [closest, Pair p1 p2])
closestPair
(windowed 2 pairsWithinMinimumDelta)
...
----
[source,text]
----
> dcClosest [(-165.0,8.0),(5.0,47.0),(6.0,0.0),(8.0,0.0),(2.0,1.0),(-129.0,17.0),(-15.0,11.0)]
passed in the following: []
(2.0,1.0) (6.0,0.0)
----
The function still works the same way but it prints out the trace message as well.
Having run this a few times I realised that I'd made a mistake with the values that I'd passed to 'foldl' - I was supposed to pass the combination of all the pairs in 'pairsWithinMinimumDelta' but had actually only passed in adjacent ones.
The following change needs to be made to fix that:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> Pair a
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = foldl (\closest (p1, p2) -> minimumBy (compare `on` distance') [closest, Pair p1 p2])
closestPair
(combos pairsWithinMinimumDelta)
where sortedByX = sortBy compare pairs
(leftByX:rightByX:_) = chunk (length sortedByX `div` 2) sortedByX
closestPair = minimumBy (compare `on` distance') [closestLeftPair, closestRightPair]
where closestLeftPair = dcClosest leftByX
closestRightPair = dcClosest rightByX
pairsWithinMinimumDelta = sortBy (compare `on` snd) $ filter withinMinimumDelta sortedByX
where withinMinimumDelta (x, _) = abs (xMidPoint - x) <= distance' closestPair
where (xMidPoint, _) = last leftByX
combos :: [a] -> [(a,a)]
combos initial =
[(initial !! i, initial !! j) | i <- [0..length initial - 1], j <- [i+1..length initial-1 ], i /= j]
----
It's still not perfect because we end up doing too many comparisons in the 'foldl' part of the code.
It does now, however, give the same results as the brute force version.
[source,text]
----
> quickCheck (prop_dc_bf :: [(Double, Double)] -> Property)
+++ OK, passed 100 tests.
---- | null | null | [
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] | haskell-debugging-code | https://markhneedham.com/blog/2012/05/27/haskell-debugging-code |
false | 2012-05-16 13:16:48 | Haskell: Writing a custom equality operator | [
"haskell"
] | [
"Haskell"
] | In the comments on my post about http://www.markhneedham.com/blog/2012/05/08/haskell-generating-random-numbers/[generating random numbers] to test a function David Turner suggested that this was exactly the use case for which http://book.realworldhaskell.org/read/testing-and-quality-assurance.html[QuickCheck] was intended for so I've been learning a bit more about that this week.
I started with a simple property to check that the brute force (bf) and divide and conquer (dc) versions of the algorithm returned the same result, assuming that there were enough values in the list to have a closest pair:
[source,haskell]
----
prop_closest_pairs xs = length xs >= 2 ==> dcClosest xs == (fromJust $ bfClosest xs)
----
I could then run that as follows:
[source,haskell]
----
> import QuickCheck.Test
> quickCheck(prop_closest_pairs :: [(Double, Double)] -> Property)
----
It failed pretty quickly because the bf and dc versions of the algorithm sometimes return the pairs in a different order.
e.g. bf may say the closest pair is (2.0, 0.0), (2.1, 1.1) while dc says it's (2.1, 1.1), (2.0, 0.0) which will lead to the quick check property failing because those values aren't equal:
[source,haskell]
----
> ((2.0, 0.0), (2.1, 1.1)) == ((2.1, 1.1), (2.0, 0.0))
False
----
The best way I could think of to get around this problem was to create a type to represent a pair of points and then write a custom equality operator.
I initially ended up with the following:
[source,haskell]
----
type Point a = (a, a)
data Pair a = P (Point a) (Point a)
----
[source,haskell]
----
instance Eq (Pair a) where
P a b == P c d = a == c && b == d || a == d && b == c
----
Which didn't actually compile:
[source,text]
----
qc_test.hs:41:58:
No instance for (Eq a)
arising from a use of `=='
In the second argument of `(&&)', namely `b == c'
In the second argument of `(||)', namely `a == d && b == c'
In the expression: a == c && b == d || a == d && b == c
----
The problem is that while we've made Pair an instance of the Equality type class there's no guarantee that the value contained inside it is an instance of the Equality type class which means we might not be able to compare its values.
We need to add a class constraint to make sure that http://learnyouahaskell.com/making-our-own-types-and-typeclasses#typeclasses-102[the value inside P is a part of Eq]:
[source,haskell]
----
instance (Eq a) => Eq (Pair a) where
P a b == P c d = a == c && b == d || a == d && b == c
----
Now we're saying that we want to make Pair an instance of the Equality type class but only when the value that Pair contains is already an instance of the Equality type class.
In this case we're just storing pairs of doubles inside the Pair so it will work fine.
Now if we compare the two points from above we'll see that they're equal:
[source,haskell]
----
> P (2.0, 0.0) (2.1, 1.1) == P (2.1, 1.1) (2.0, 0.0)
True
----
I had to go and change the existing code to make use of this new but it didn't take more than 5-10 minutes to do that. | null | null | [
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] | haskell-writing-a-custom-equality-operator | https://markhneedham.com/blog/2012/05/16/haskell-writing-a-custom-equality-operator |
false | 2012-05-28 11:18:13 | Haskell: Finding the minimum & maximum values of a Foldable in one pass | [
"haskell"
] | [
"Haskell"
] | I recently came across Dan Piponi's blog post 'http://blog.sigfpe.com/2009/01/haskell-monoids-and-their-uses.html[Haskell Monoids & their Uses]' and towards the end of the post he suggests creating monoids to work out the maximum and minimum values of a Foldable value in one pass.
____
The +++<cite>+++http://www.haskell.org/ghc/docs/6.12.2/html/libraries/base-4.2.0.1/Data-Foldable.html[Foldable]+++</cite>+++ type class provides a generic approach to walking through a datastructure, accumulating values as we go. The foldMap function applies a function to each element of our structure and then accumulates the return values of each of these applications.
____
A list is one example of a type which implements the Foldable type class like so:
[source,haskell]
----
instance Foldable [] where
foldr = Prelude.foldr
foldl = Prelude.foldl
foldl' = List.foldl'
foldr1 = Prelude.foldr1
foldl1 = Prelude.foldl1
----
In this case it delegates all of the Foldable functions to previously defined functions from the Prelude or List modules.
The 'foldMap' function mentioned above has the following default implementation:
[source,haskell]
----
foldMap :: Monoid m => (a -> m) -> t a -> m
foldMap f = foldr (mappend . f) mempty
----
Dan shows an example where we use 'foldMap' to check whether any values in a Foldable have the value 1 by using the 'Any' monoid:
[source,haskell]
----
> foldMap (Any . (== 1)) [1..20]
Any {getAny = True}
----
I couldn't quite understand how it worked so I expanded the 'foldMap' definition which results in the following:
[source,haskell]
----
> Data.Foldable.foldr (\x acc -> acc `mappend` (Any . (== 1)) x) mempty [1..20]
Any {getAny = True}
----
So we're folding over the list with an initial seed value of 'Any False' as that's what mempty will evaluate to. For each value we're then calling 'mappend' with two 'Any' values and passing on the result.
So in this example it would go like this:
[source,haskell]
----
Any False `mappend` (Any . (==1)) 20 => Any False `mappend` Any False => Any False
Any False `mappend` (Any . (==1)) 19 => Any False `mappend` Any False => Any False
...
Any False `mappend` (Any . (==1)) 1 => Any False `mappend` Any True => Any True
----
In our case we need to define our own monoids to keep track of the maximum value in a Foldable:
[source,haskell]
----
import Data.Monoid
import Data.Foldable
data MaxSoFar a = MaxSoFar { getMaxSoFar :: a } deriving (Eq, Ord, Read, Show, Bounded)
instance (Num a, Ord a, Bounded a) => Monoid (MaxSoFar a) where
mempty = MaxSoFar (minBound)
MaxSoFar x `mappend` MaxSoFar y = MaxSoFar (max x y)
----
We set 'mempty' to the minimum possible Int value so that anything Int value compared to it will automatically become the max value when it gets compared to that.
For 'mappend' we take the values stored in the two 'MaxSoFar' instances and then select the maximum and return a new MaxSoFar.
We call foldMap like so:
[source,haskell]
----
> foldMap (MaxSoFar) ([1..20] :: [Int])
MaxSoFar {getMaxSoFar = 20}
----
MinSoFar is pretty similar in design:
[source,haskell]
----
data MinSoFar a = MinSoFar { getMinSoFar :: a } deriving (Eq, Ord, Read, Show, Bounded)
instance (Num a, Ord a, Bounded a) => Monoid (MinSoFar a) where
mempty = MinSoFar maxBound
MinSoFar x `mappend` MinSoFar y = MinSoFar (min x y)
----
And we can then combine them together like this:
[source,haskell]
----
> foldMap (\x -> (MaxSoFar x, MinSoFar x)) ([1..20] :: [Int])
(MaxSoFar {getMaxSoFar = 20},MinSoFar {getMinSoFar = 1})
----
This works because we can make use of what Dan calls the 'Product Monoid', which is a Monoid instance for a tuple:
[source,haskell]
----
instance (Monoid a, Monoid b) => Monoid (a,b) where
mempty = (mempty, mempty)
(a1,b1) `mappend` (a2,b2) = (a1 `mappend` a2, b1 `mappend` b2)
----
So in our example the fold would go like this:
[source,haskell]
----
(MaxSoFar -9223372036854775808, MinSoFar 9223372036854775807) `mappend` (MaxSoFar 20, MinSoFar 20) => (MaxSoFar 20, MinSoFar 20)
(MaxSoFar 20, MinSoFar 20) `mappend` (MaxSoFar 19, MinSoFar 19) => (MaxSoFar 20, MinSoFar 19)
...
(MaxSoFar 20, MinSoFar 2) `mappend` (MaxSoFar 1, MinSoFar 1) => (MaxSoFar 20, MinSoFar 1)
----
We could probably achieve the same thing without using monoids but I think this approach is pretty neat. | null | null | [
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] | haskell-finding-the-minimum-maximum-values-of-a-foldable-in-one-pass | https://markhneedham.com/blog/2012/05/28/haskell-finding-the-minimum-maximum-values-of-a-foldable-in-one-pass |
false | 2012-05-10 07:11:17 | Haskell: Explicit type declarations in GHCI | [
"haskell"
] | [
"Haskell"
] | On a few occasions I've wanted to be able to explicitly define the type of something when trying things out in the Haskell REPL (GHCI) but I didn't actually realise this was possible until a couple of days ago.
For example say we want to use the +++<cite>+++http://zvon.org/other/haskell/Outputprelude/read_f.html[read]+++</cite>+++ function to parse an input string into an integer.
We could do this:
[source,haskell]
----
> read "1" :: Int
1
----
But if we just evaluate the function alone and try and assign the result without casting to a type we get an exception:
[source,haskell]
----
> let x = read "1"
<interactive>:1:10:
Ambiguous type variable `a0' in the constraint:
(Read a0) arising from a use of `read'
Probable fix: add a type signature that fixes these type variable(s)
In the expression: read "1"
In an equation for `x': x = read "1"
----
sepp2k shows http://stackoverflow.com/questions/3093133/how-to-provide-explicit-type-declarations-for-functions-when-using-ghci[how we can provide a type declaration in GHCI in his Stack Over Flow answer]:
[source,haskell]
----
> let x::Int; x = read "1"
> x
1
----
We can also use it when creating a list of integers to ensure they are of type 'Int' rather than 'Integer' for example:
[source,haskell]
----
> let y = [1,2,3]
> :t y
y :: [Integer]
> let y::[Int]; y = [1,2,3]
> :t y
y :: [Int]
----
It's a pretty simple thing but I didn't know it was even possible! | null | null | [
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] | haskell-explicit-type-declarations-in-ghci | https://markhneedham.com/blog/2012/05/10/haskell-explicit-type-declarations-in-ghci |
false | 2012-05-19 20:03:02 | Building an API: Test Harness UI | [
"software-development"
] | [
"Software Development"
] | On the project I've been working on we're building an API to be used by other applications in the organisation but when we started none of those applications were ready to integrate with us and therefore http://martinfowler.com/articles/consumerDrivenContracts.html[drive the API design].
Initially we tried driving the API through integration style tests but we realised that taking this approach made it quite difficult for us to imagine how an application would use it.
It also meant that we didn't have a good way to show our business stakeholders the work we'd done - showing off pieces of JSON going back and forth probably wouldn't have gone down too well!
We therefore decided to create our own test harness UI which we would use to show case what we'd developed so far and also use to help drive the design of the API.
Obviously it would be better if we were able to drive the API out from a real application but given that wasn't possible the test harness approach seems to work reasonably well.
The main problem that we ran into was not knowing how much effort we should be putting into the test harness UI given that its primary purpose was to show the progress being made on the UI.
We started out not writing many tests or paying much attention to how it looked since it was assumed to be a throwaway UI.
Over time it's become more complicated and since we use it to display progress to management stakeholders we've spent time making it more presentable.
Despite that I'd still say the effort we've put in is worthwhile because it gives us a way to show progress to non technical people.
From my experience if you can't do that they'll start to get nervous and wonder if you know what you're doing which isn't a good place to be! | null | null | [
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] | building-an-api-test-harness-ui | https://markhneedham.com/blog/2012/05/19/building-an-api-test-harness-ui |
false | 2012-05-07 09:18:02 | Haskell: Maximum Int value | [
"haskell"
] | [
"Haskell"
] | One of the algorithms covered in https://www.coursera.org/course/algo[Algo Class] was the http://en.wikipedia.org/wiki/Closest_pair_of_points_problem[closest pairs algorithm] - an algorithm used to determine which pair of points on a plane are closest to each other based on their http://en.wikipedia.org/wiki/Euclidean_distance[Euclidean distance].
My real interest lies in writing the divide and conquer version of the algorithm but I started with the brute force version so that I'd be able to compare my answers.
This is the algorithm:
[source,text]
----
minDist = infinity
for each p in P:
for each q in P:
if p ≠ q and dist(p, q) < minDist:
minDist = dist(p, q)
closestPair = (p, q)
return closestPair
----
'infinity' in this case could be the maximum value that an Int could hold which on a 64 bit architecture would be 2^63^ so I hardcoded that into my implementation:
o
[source,haskell]
----
bfClosest :: (Ord a, Floating a) => [(a, a)] -> Maybe ((a, a), (a, a))
bfClosest pairs =
snd $ foldl (\ acc@(min, soFar) (p1, p2) ->
if distance p1 p2 < min then (distance p1 p2, Just(p1, p2)) else acc)
(2^63, Nothing)
[(pairs !! i, pairs !! j) | i <- [0..length pairs - 1], j <- [0..length pairs-1 ], i /= j]
where distance (x1, y1) (x2, y2) = sqrt $ ((x1 - x2) ^ 2) + ((y1 - y2) ^ 2)
----
We're comparing each point with all the others in the list by folding over a collection of all the combinations and then passing the pair with the smallest distance between points as part of our accumulator.
More by chance than anything else I was reading http://learnyouahaskell.com/types-and-typeclasses[the Learn You a Haskell chapter on types and type classes] and came across the +++<cite>+++http://zvon.org/other/haskell/Outputprelude/maxBound_f.html[maxBound]+++</cite>+++ function which does exactly what I want:
[source,haskell]
----
> 2 ^ 63
9223372036854775808
> maxBound :: Int
9223372036854775807
----
We can't plug that straight into the function as is because the fold inside 'bfClosest' expects a float and had been automatically coercing 2^63^ into the appropriate type.
We therefore use 'fromIntegral' to help us out:
[source,haskell]
----
bfClosest :: (Ord a, Floating a) => [(a, a)] -> Maybe ((a, a), (a, a))
bfClosest pairs =
snd $ foldl (\ acc@(min, soFar) (p1, p2) ->
if distance p1 p2 < min then (distance p1 p2, Just(p1, p2)) else acc)
(fromIntegral (maxBound :: Int), Nothing)
[(pairs !! i, pairs !! j) | i <- [0..length pairs - 1], j <- [0..length pairs-1 ], i /= j]
where distance (x1, y1) (x2, y2) = sqrt $ ((x1 - x2) ^ 2) + ((y1 - y2) ^ 2)
---- | null | null | [
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] | haskell-maximum-int-value | https://markhneedham.com/blog/2012/05/07/haskell-maximum-int-value |
false | 2012-05-09 00:05:56 | Haskell: Closest Pairs Algorithm | [
"haskell"
] | [
"Haskell"
] | As I mentioned in http://www.markhneedham.com/blog/2012/05/07/haskell-maximum-int-value/[a post a couple of days ago] I've been writing the closest pairs algorithm in Haskell and while the brute force version works for small numbers of pairs it starts to fall apart as the number of pairs increases:
[source,text]
----
time ./closest_pairs 100 bf
./closest_pairs 100 bf 0.01s user 0.00s system 87% cpu 0.016 total
time ./closest_pairs 1000 bf
./closest_pairs 1000 bf 3.59s user 0.01s system 99% cpu 3.597 total
time ./closest_pairs 5000 bf
./closest_pairs 5000 554.09s user 0.36s system 99% cpu 9:14.46 total
----
Luckily there's a divide and conquer algorithm we can use which brings down the running time from O(n^2^) to O(n log(n)) which is significantly quicker as n increases in size.
That http://en.wikipedia.org/wiki/Closest_pair_of_points_problem[algorithm is defined like so]:
____
. Sort points along the x-coordinate
. Split the set of points into two equal-sized subsets by a vertical line x = x~mid~
. Solve the problem recursively in the left and right subsets. This will give the left-side and right-side minimal distances d~Lmin~ and d~Rmin~ respectively.
. Find the minimal distance d~LRmin~ among the pair of points in which one point lies on the left of the dividing vertical and the second point lies to the right (a split pair).
. The final answer is the minimum among d~Lmin~, d~Rmin~, and d~LRmin~.
____
By step 4 in which we'll look for a closest pair where the x and y values are in opposite subsets we don't need to consider the whole list of points again since we already know that the closest pair of points is no further apart than +++<cite>+++dist+++</cite>+++ = min(d~Lmin~, d~Rmin~).
We can therefore filter out a lot of the values by only keeping values which are within +++<cite>+++dist+++</cite>+++ of the middle x value.
If a point is further away than that then we already know that the distance between it and any point on the other side will be greater than +++<cite>+++dist+++</cite>+++ so there's no point in considering it.
I used the http://rosettacode.org/wiki/Closest-pair_problem#C.23[C# version from Rosetta Code] as a template and this is what I ended up with:
[source,haskell]
----
import Data.Maybe
import Data.List
import Data.List.Split
import Data.Function
dcClosest :: (Ord a, Floating a) => [Point a] -> (Point a, Point a)
dcClosest pairs
if length pairs <= 3 then = fromJust $ bfClosest pairs
else
foldl (\closest (p1:p2:_) -> if distance (p1, p2) < distance closest then (p1, p2) else closest)
closestPair
(windowed 2 pairsWithinMinimumDelta)
where sortedByX = sortBy compare pairs
(leftByX:rightByX:_) = chunk (length sortedByX `div` 2) sortedByX
closestPair = if distance closestLeftPair < distance closestRightPair then closestLeftPair else closestRightPair
where closestLeftPair = dcClosest leftByX
closestRightPair = dcClosest rightByX
pairsWithinMinimumDelta = sortBy (compare `on` snd) $ filter withinMinimumDelta sortedByX
where withinMinimumDelta (x, _) = abs (xMidPoint - x) <= distance closestPair
where (xMidPoint, _) = last leftByX
----
If the number of pairs is 3 or less then we can just use the brute force algorithm since the whole splitting the list in half thing doesn't work so well with a list of less than 4 items.
The main function is a fold which goes over all the pairs of points where we've determined that there might be a closest pair with one point on the left hand side of our 'sorted by x list' and the other on the right hand side.
We use the 'http://www.markhneedham.com/blog/2012/02/28/haskell-creating-a-sliding-window-over-a-collection/[windowed]' function to pair up the points which in this case does something like this:
[source,haskell]
----
> windowed 2 [(0,0), (1,1), (2,2), (1.1, 1.2)]
[[(0.0,0.0),(1.0,1.0)],[(1.0,1.0),(2.0,2.0)],[(2.0,2.0),(1.1,1.2)]]
----
We pass along the closest pair that we've found from pairs of points on the left and right hand sides of the list as our seed value and check whether any of the split pairs are closer together than that one. By the time the fold is finished we will have the closest pair in the list.
The code in the where section is used to split the list into two halves, sort it by x and then work out which side of the list has the closest pair. That's all done recursively and then the last bit of code works out which values we need to consider for the split pairs part of the algorithm.
I learnt about the 'http://stackoverflow.com/questions/2788195/haskell-sorting[on]' function while writing this algorithm which makes it really easy to pick a function to sort a collection with e.g. 'compare `on` snd' lets us sort a list in ascending order based on the second value in a tuple.
One problem with the way I've written this algorithm is that it places a lot of focus on the split pair bit of the code when actually a big part of why it works is that we're sorting it into an order that makes it easier to work with and then dividing the problem by 2 each time.
My current thinking is that perhaps I should have had that code in the main body of the function rather than hiding it away in the where section.
It isn't actually necessary to execute the foldl all the way through since we'll often know there's not going to be a split pair before we go through all the pairs. I thought it reads pretty nicely as it is thought and it runs pretty quickly as it is anyway!
Using the same data set as before (and getting the same answers!):
[source,text]
----
> time ./closest_pairs 1000 dc
./closest_pairs 1000 dc 0.02s user 0.00s system 91% cpu 0.024 total
> time ./closest_pairs 5000 dc
./closest_pairs 5000 dc 0.11s user 0.01s system 97% cpu 0.118 total
----
I described the code for http://www.markhneedham.com/blog/2012/05/08/haskell-generating-random-numbers/[generating random numbers] in an earlier blog post but I'll include it again to show how the algorithm is wired up:
[source,haskell]
----
import Control.Monad.State (State, evalState, get, put)
import System.Random (StdGen, mkStdGen, random)
import System
type R a = State StdGen a
rand :: R Double
rand = do
gen <- get
let (r, gen') = random gen
put gen'
return r
randPair :: R (Double, Double)
randPair = do
x <- rand
y <- rand
return (x,y)
runRandom :: R a -> Int -> a
runRandom action seed = evalState action $ mkStdGen seed
normals :: R [(Double, Double)]
normals = mapM (\_ -> randPair) $ repeat ()
main = do
args <- getArgs
let numberOfPairs = read (head args) :: Int
if length args > 1 && args !! 1 == "bf" then
putStrLn $ show ( (bfClosest $ take numberOfPairs $ runRandom normals 42))
else
putStrLn $ show ( (dcClosest $ take numberOfPairs $ runRandom normals 42))
----
The http://hpaste.org/68299[full code is on hpaste] if anyone has any suggestions for how to improve it. | null | null | [
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] | haskell-closest-pairs-algorithm | https://markhneedham.com/blog/2012/05/09/haskell-closest-pairs-algorithm |
false | 2012-05-31 21:52:29 | Google Maps without any labels/country names | [
"google-maps"
] | [
"Software Development"
] | I wanted to get a blank version of Google Maps without any of the country names on for a visualisation I'm working on but I'd been led to believe that this wasn't actually possible.
In actual fact we do have control over http://stackoverflow.com/questions/3110020/google-maps-api-v3-no-labels[whether the labels are shown] https://developers.google.com/maps/documentation/javascript/styling#styling_the_default_map[via the 'styles' option] which we can call on the map.
In my case the code looks like this:
[source,javascript]
----
var map = new google.maps.Map(document.getElementById("map_canvas"), {
zoom: 3,
center: new google.maps.LatLng(31.492121, 14.919434),
mapTypeId: google.maps.MapTypeId.ROADMAP
});
var emptyStyles = [
{
featureType: "all",
elementType: "labels",
stylers: [ { visibility: "off" } ]
}
];
map.setOptions({styles: emptyStyles});
----
And this is the result:
image::{{<siteurl>}}/uploads/2012/05/map-no-labels.jpg[Map no labels,600] | null | null | [
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] | google-maps-without-any-labelscountry-names | https://markhneedham.com/blog/2012/05/31/google-maps-without-any-labelscountry-names |
false | 2012-05-30 11:10:15 | Haskell: Java Style Enums | [
"haskell"
] | [
"Haskell"
] | I've been playing around with http://projecteuler.net/problem=31[problem 31 of Project Euler] which is defined as follows:
____
In England the currency is made up of pound, £, and pence, p, and there are eight coins in general circulation: 1p, 2p, 5p, 10p, 20p, 50p, £1 (100p) and £2 (200p). It is possible to make £2 in the following way: 1 £1 + 150p + 220p + 15p + 12p + 31p How many different ways can £2 be made using any number of coins?
____
Having coded way too much in Java my first thought was that the coins could be represented as an Enum but I wasn't sure how to do that in Haskell.
As it turns out http://stackoverflow.com/questions/6000511/better-way-to-define-an-enum-in-haskell[the question has been asked on Stack Overflow] and there's an Enum type class we can implement to achieve the same thing.
In this case:
[source,haskell]
----
data UKCoin = OnePence | TwoPence | FivePence | TenPence | TwentyPence | FiftyPence | OnePound | TwoPounds
deriving (Eq, Show)
----
[source,haskell]
----
instance Enum UKCoin where
fromEnum = fromJust . flip lookup table
toEnum = fromJust . flip lookup (map swap table)
table = [(OnePence, 1), (TwoPence, 2), (FivePence, 5), (TenPence, 10), (TwentyPence, 20),
(FiftyPence, 50), (OnePound, 100), (TwoPounds, 200)]
----
If we want to get the monetary value of a coin we use 'fromEnum':
[source,haskell]
----
> fromEnum TwoPounds
200
----
And if we wanted to go back to the enum value we'd do this:
[source,haskell]
----
> (toEnum 200) :: UKCoin
TwoPounds
----
If we want to get a list of all the instances of 'UKCoin' we can just do a map over 'table':
[source,haskell]
----
> let ukCoins = map fst table
> ukCoins
[OnePence,TwoPence,FivePence,TenPence,TwentyPence,FiftyPence,OnePound,TwoPounds]
---- | null | null | [
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] | haskell-java-style-enums | https://markhneedham.com/blog/2012/05/30/haskell-java-style-enums |
false | 2012-05-30 12:08:25 | Haskell: Using type classes to generify Project Euler #31 | [
"haskell"
] | [
"Haskell"
] | As I mentioned in my previous post I've been working on http://www.markhneedham.com/blog/2012/05/30/haskell-java-style-enums/[Project Euler #31] and initially wasn't sure how to write the algorithm.
I came across http://stackoverflow.com/questions/1106929/find-all-combinations-of-coins-when-given-some-dollar-value[a post on StackOverflow which explained it in more detail] but unfortunately the example used US coins rather than UK ones like in the Project Euler problem.
To start with I created two versions of the function - one for US coins and one for UK coins:
[source,haskell]
----
combinations :: Int -> [USCoin] -> [USCoin] -> [[USCoin]]
combinations 0 current _ = [current]
combinations _ current [] = []
combinations total p (c:cs) = concatMap (\ times -> combinations (total - (times * fromEnum c)) (p ++ replicate times c) cs)
[0,1..(total `div` fromEnum c)]
----
[source,haskell]
----
combinationsUK :: Int -> [UKCoin] -> [UKCoin] -> [[UKCoin]]
combinationsUK 0 current _ = [current]
combinationsUK _ current [] = []
combinationsUK total p (c:cs) = concatMap (\ times -> combinationsUK (total - (times * fromEnum c)) (p ++ replicate times c) cs)
[0,1..(total `div` fromEnum c)]
----
As we can see the only difference between the two functions is the type being passed around and they are almost identical as well:
[source,haskell]
----
data USCoin = Quarter | Dime | Nickel | Penny deriving (Eq, Show)
----
[source,haskell]
----
instance Enum USCoin where
fromEnum = fromJust . flip lookup usTable
toEnum = fromJust . flip lookup (map swap usTable)
usTable = [(Quarter, 25), (Dime, 10), (Nickel, 5), (Penny, 1)]
----
[source,haskell]
----
data UKCoin = OnePence | TwoPence | FivePence | TenPence | TwentyPence | FiftyPence | OnePound | TwoPounds deriving (Eq, Show)
----
[source,haskell]
----
instance Enum UKCoin where
fromEnum = fromJust . flip lookup ukTable
toEnum = fromJust . flip lookup (map swap ukTable)
ukTable = [(OnePence, 1), (TwoPence, 2), (FivePence, 5), (TenPence, 10),
(TwentyPence, 20), (FiftyPence, 50), (OnePound, 100), (TwoPounds, 200)]
----
We can run those two functions like this:
[source,haskell]
----
> length $ combinations 200 [] (reverse $ map fst usTable)
1463
> length $ combinationsUK 200 [] (reverse $ map fst ukTable)
73682
----
After spending a lot of the past week reading about type classes I figured we could probably make use of one here so I created a 'Coin' type class:
[source,haskell]
----
class Coin a where
value :: a -> Int
----
And then implemented that with 'USCoin' and 'UKCoin':
[source,haskell]
----
instance Coin USCoin where value coin = fromEnum coin
instance Coin UKCoin where value coin = fromEnum coin
----
Then we need to make some small adjustments to 'combinations' to make it work with 'Coin' instead:
[source,haskell]
----
combinations :: (Coin a) => Int -> [a] -> [a] -> [[a]]
combinations 0 current _ = [current]
combinations _ current [] = []
combinations total p (c:cs) =
concatMap (\ times -> combinations (total - (times * value c)) (p ++ replicate times c) cs)
[0,1..(total `div` value c)]
----
Instead of calling 'fromEnum' we call 'value' and the function can now be used with any types which implement the Coin type class should we wish to do that.
We can actually go even further and get rid of our Enum type class instances and just put that code onto the Coin type class:
[source,haskell]
----
class Eq a => Coin a where
table :: [(a, Int)]
value :: a -> Int
value = fromJust . flip lookup table
----
[source,haskell]
----
instance Coin USCoin where
table = [(Quarter, 25), (Dime, 10), (Nickel, 5), (Penny, 1)]
instance Coin UKCoin where
table = [(OnePence, 1), (TwoPence, 2), (FivePence, 5), (TenPence, 10), (TwentyPence, 20), (FiftyPence, 50), (OnePound, 100), (TwoPounds, 200)]
----
We can then call the function with either of those coins:
[source,haskell]
----
> length $ combinations 200 [] (reverse $ map fst (table :: [(USCoin, Int)]))
1463
> length $ combinations 200 [] (reverse $ map fst (table :: [(UKCoin, Int)]))
73682
---- | null | null | [
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] | haskell-using-type-classes-to-generify-project-euler-31 | https://markhneedham.com/blog/2012/05/30/haskell-using-type-classes-to-generify-project-euler-31 |
false | 2012-05-08 22:09:17 | Haskell: Generating random numbers | [
"haskell"
] | [
"Haskell"
] | As I http://www.markhneedham.com/blog/2012/05/07/haskell-maximum-int-value/[mentioned in my last post] I've been coding the closest pairs algorithm in Haskell and needed to create some pairs of coordinates to test it against.
I've tried to work out how to create lists of random numbers in Haskell before and always ended up giving up because it seemed way more difficult than it should be but this time I came across a http://stackoverflow.com/questions/2110535/sampling-sequences-of-random-numbers-in-haskell[really good explanation of how to do it by jrockway on Stack Overflow].
I thought it'd be interesting to work up to his answer by first looking at the functions available to help us generate random numbers.
http://hackage.haskell.org/packages/archive/random/latest/doc/html/System-Random.html#v:mkStdGen[mkStdGen] is a function which creates a random number generator for a given seed value and seems like a good place to start.
____
mkStdGen :: Int \-> StdGen The function mkStdGen provides an alternative way of producing an initial generator, by mapping an Int into a generator. Again, distinct arguments should be likely to produce distinct generators.
____
We can combine that with 'randomR' to give us a random value in a range that we choose or with 'random' to get a random value in a default range.
____
randomR :: RandomGen g \=> (a, a) \-> g \-> (a, g) Takes a range (lo,hi) and a random number generator g, and returns a random value uniformly distributed in the closed interval [lo,hi], together with a new generator. It is unspecified what happens if lo>hi. For continuous types there is no requirement that the values lo and hi are ever produced, but they may be, depending on the implementation and the interval.
____
[source,haskell]
----
> fst $ randomR (1,10) (mkStdGen 66)
8
----
[source,haskell]
----
> let randomNumber :: Int; x = fst $ random (mkStdGen 66)
> randomNumber
-4755267682593970340
----
For now I'm ignoring the new random generator that is provided as the second part of the tuple that these two functions return.
If we want to create an infinite list of random numbers then something like this will do the trick:
[source,haskell]
----
let values :: [Int]; values = map fst $ scanl (\(r, gen) _ -> random gen) (random (mkStdGen 1)) $ repeat ()
----
We use the 'repeat' function to create an infinite sequence of nothing then run a scanl across that infinite sequence, called 'random' with a new instance of the random number generator each time:
[source,haskell]
----
> take 10 values
[7917908265643496962,-1017158127812413512,-1196564839808993555,128524678767915218,3573078269730797745,-2026762924287790163,-5402471397730582264,-8620480566299071809,5987841344909700899,1198540087579679591]
it :: [Int]
----
In this version we're passing the next generator along as part of the accumulator of the 'scanl' function but another way to do that would be to encapsulate it inside a State monad:
Using the State monad our random number function would read like this:
[source,haskell]
----
myRand :: State StdGen Int
myRand = do
gen <- get
let (r, nextGen) = random gen
put nextGen
return r
----
The state monad contains some state (the random number generator) and creates values (the random numbers).
Line 3 gets the current generator.
Line 4 creates a new number and generator which it assigns to 'r' and 'nextGen'
Line 5 updates the State monad with the new generator
Line 6 returns the value that was created.
We change 'values' to read like this:
[source,haskell]
----
let values = mapM (\_ -> myRand) $ repeat ()
----
'mapM (_ \-> myRand)' is http://www.haskell.org/ghc/docs/6.12.2/html/libraries/base-4.2.0.1/Control-Monad.html#v%3Asequence[the same as] doing 'sequence $ map (_ \-> myRand)' and we need to do that because we want to return a State Monad with an array of Ints rather than an array of State Monads each with an Int.
In order to evaluate those values we call 'evalState' which returns the final result from the State monad i.e. the random value created:
[source,haskell]
----
> evalState values $ mkStdGen 1
[7917908265643496962,-1017158127812413512,-1196564839808993555,128524678767915218,3573078269730797745,-2026762924287790163,-5402471397730582264,-8620480566299071809,5987841344909700899,1198540087579679591,5081506216124746781,-2413363174299075397,-6804412472718217891,4559850124463334118,-362777938400029309,-23100237439495333,-2426472460098089322,...]
----
In our case we want to get an infinite sequence of pairs to represent the coordinates on a plane so we need to have a random function that creates those:
[source,haskell]
----
myRandPair :: State StdGen (Int, Int)
myRandPair = do
x <- myRand
y <- myRand
return (x, y)
----
We then change 'values' accordingly:
[source,haskell]
----
> let values = mapM (\_ -> myRandPair) $ repeat ()
> evalState values $ mkStdGen 1
[(7917908265643496962,-1017158127812413512),(-1196564839808993555,128524678767915218),(3573078269730797745,-2026762924287790163),(-5402471397730582264,-8620480566299071809),(5987841344909700899,1198540087579679591),(5081506216124746781,-2413363174299075397),(-6804412472718217891,4559850124463334118),(-362777938400029309,-23100237439495333)...]
----
If we want to get back some different pairs then we just need to change the initial seed value that we pass to 'mkStdGen'.
http://stackoverflow.com/questions/2110535/sampling-sequences-of-random-numbers-in-haskell[jrockway explains this in more detail in his post] in which he also wraps the State monad inside an alias to make the code easier to understand. | null | null | [
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] | haskell-generating-random-numbers | https://markhneedham.com/blog/2012/05/08/haskell-generating-random-numbers |
false | 2012-05-23 06:44:41 | Haskell: Using monoids when sorting by multiple parameters | [
"haskell"
] | [
"Haskell"
] | On the project I've been working on we had a requirement to sort a collection of rows by 4 different criteria such that if two items matched for the first criteria we should consider the second criteria and so on.
If we wrote that code in Haskell it would read a bit like this:
[source,haskell]
----
data Row = Row { shortListed :: Bool, cost :: Float, distance1 :: Int, distance2 :: Int } deriving (Show, Eq)
----
[source,haskell]
----
import Data.Ord
import Data.List
compareRow :: Row -> Row -> Ordering
compareRow x y = if comparing (not . shortListed) x y == EQ then
if comparing cost x y == EQ then
if comparing distance1 x y == EQ then
comparing distance2 x y
else
comparing distance1 x y
else
comparing cost x y
else
comparing (not . shortListed) x y
----
We can then sort a list of rows like this:
[source,haskell]
----
> let shortListedRow = Row {shortListed = True, cost = 10.0, distance1 = 20, distance2 = 30 }
> let nonShortListedRow = Row {shortListed = False, cost = 10.0, distance1 = 20, distance2 = 30 }
> sortBy compareRow [nonShortListedRow, shortListedRow]
[Row {shortListed = True, cost = 10.0, distance1 = 20, distance2 = 30},
Row {shortListed = False, cost = 10.0, distance1 = 20, distance2 = 30}]
----
It works but it's messy and we couldn't see what abstraction we should be using to simplify the code.
I was continuing with my reading of http://learnyouahaskell.com/functors-applicative-functors-and-monoids[Functors, Applicative Functors and Monoids] yesterday and got to the section on Monoids which showed an example for simplifying this type of code.
The definition of a Monoid from the Haskell source code is:
____
Types with an associative binary operation that has an identity
____
But I prefer http://blog.sigfpe.com/2009/01/haskell-monoids-and-their-uses.html[Dan Piponi's definition]:
____
In Haskell, a monoid is a type with a rule for how two elements of that type can be combined to make another element of the same type. To be a monoid there also needs to be an element that you can think of as representing 'nothing' in the sense that when it's combined with other elements it leaves the other element unchanged.
____
In our case we have a bunch of things of type 'Ordering' and we want to combine them all together and end up with a final 'Ordering' which takes them all into account.
For example if we were comparing the following two rows:
[source,haskell]
----
> let row1 = Row {shortListed = True, cost = 10.0, distance1 = 1, distance2 = 30 }
> let row2 = Row {shortListed = True, cost = 10.0, distance1 = 100, distance2 = 30 }
> compareRow row1 row2
LT
----
When we compare their shortListed value we get back 'EQ', so we compare their cost value and get back 'EQ' and finally we compare their distance1 value which gives back 'LT' which is our final value.
We can make use of the Ordering Monoid to do this rather than all the nested if statements.
Monoid is a http://www.markhneedham.com/blog/2012/05/22/scalahaskell-a-simple-example-of-type-classes/[type class] defined like so:
[source,haskell]
----
class Monoid a where
mempty :: a
mappend :: a -> a -> a
mconcat :: [a] -> a
mconcat = foldr mappend mempty
----
'mempty' represents the identity value for a monoid i.e. the 'nothing' in Dan Piponi's definition. If we combine anything with this then we should get that thing back.
The most interesting function here is 'mappend' which we use to combine together two elements of a type. Each instance of Monoid needs to define this function for themselves.
The Ordering Monoid is defined like so:
[source,haskell]
----
instance Monoid Ordering where
mempty = EQ
LT `mappend` _ = LT
EQ `mappend` y = y
GT `mappend` _ = GT
----
What makes this work for us is that we always keep the value on the left unless it's 'EQ' in which case we take the value on the right.
Therefore as soon as one of our comparisons returns a non 'EQ' value that will be the value that eventually gets returned.
e.g.
[source,text]
----
> GT `mappend` LT `mappend` EQ
GT
----
Our 'row1'/'row2' comparison would look like this using 'mappend':
[source,text]
----
> EQ `mappend` EQ `mappend` LT
LT
----
We can then change our 'compareRow' function:
[source,haskell]
----
compareRow x y = comparing (not . shortListed) x y `mappend` comparing cost x y `mappend` comparing distance1 x y `mappend` comparing distance2 x y
----
We can simplify this further by making use of 'mconcat' which folds over a list of monoids applying 'mappend' each time.
For example we could replace our 'row1'/'row2' comparison with the following:
[source,text]
----
> mconcat [EQ, EQ, LT]
LT
----
And 'compareRow' now reads like this:
[source,haskell]
----
compareRow x y = mconcat [comparing (not . shortListed) x y, comparing cost x y, comparing distance1 x y, comparing distance2 x y]
----
We're still repeating the 'comparing' bit of code every time so I extracted that into a function:
[source,haskell]
----
by :: Ord a => (b -> a) -> b -> b -> Ordering
by fn x y = comparing fn x y
----
We then need to apply those functions to x and y to get our collection of monoids we can pass to mconcat:
[source,haskell]
----
compareRow x y = mconcat $ map (\fn -> fn x y) [by (not . shortListed), by cost, by distance1, by distance2]
----
[.line-through]#One problem with this code is that we're now comparing by all the parameters when we can actually stop once we've found a non equality.#
[.line-through]#I'm sure there's a clever way to short circuit this but I'm not sure what it is at the moment!#
As BeRewt points out in the comments what I wrote here is not actually the case, it is lazily evaluated! | null | null | [
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] | haskell-using-monoids-when-sorting-by-multiple-parameters | https://markhneedham.com/blog/2012/05/23/haskell-using-monoids-when-sorting-by-multiple-parameters |
false | 2012-05-12 15:46:31 | Haskell: Removing if statements | [
"haskell"
] | [
"Haskell"
] | When I was looking over http://www.markhneedham.com/blog/2012/05/09/haskell-closest-pairs-algorithm/[my solution to the closest pairs algorithm] which I wrote last week I realised there there were quite a few if statements, something I haven't seen in other Haskell code I've read.
This is the initial version that I wrote:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> (Point a, Point a)
dcClosest pairs
if length pairs <= 3 then = fromJust $ bfClosest pairs
else
foldl (\closest (p1:p2:_) -> if distance (p1, p2) < distance closest then (p1, p2) else closest)
closestPair
(windowed 2 pairsWithinMinimumDelta)
where sortedByX = sortBy compare pairs
(leftByX:rightByX:_) = chunk (length sortedByX `div` 2) sortedByX
closestPair = if distance closestLeftPair < distance closestRightPair then closestLeftPair else closestRightPair
where closestLeftPair = dcClosest leftByX
closestRightPair = dcClosest rightByX
pairsWithinMinimumDelta = sortBy (compare `on` snd) $ filter withinMinimumDelta sortedByX
where withinMinimumDelta (x, _) = abs (xMidPoint - x) <= distance closestPair
where (xMidPoint, _) = last leftByX
----
We can remove the first if statement which checks the length of the list and replace it with pattern matching code like so:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> (Point a, Point a)
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = foldl (\closest (p1:p2:_) -> if distance (p1, p2) < distance closest then (p1, p2) else closest)
closestPair
(windowed 2 pairsWithinMinimumDelta)
...
----
We can also get rid of the if statement inside the first argument passed to 'foldl' and replace it with a call to 'minimumBy':
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> (Point a, Point a)
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = foldl (\closest (p1:p2:_) -> minimumBy (compare `on` distance) [closest, (p1, p2)])
closestPair
(windowed 2 pairsWithinMinimumDelta)
...
----
We can do the same to replace the if statement where we work out the closestPair which results in this final version of the code:
[source,haskell]
----
dcClosest :: (Ord a, Floating a) => [Point a] -> (Point a, Point a)
dcClosest pairs
| length pairs <= 3 = fromJust $ bfClosest pairs
| otherwise = foldl (\closest (p1:p2:_) -> minimumBy (compare `on` distance) [closest, (p1, p2)])
closestPair
(windowed 2 pairsWithinMinimumDelta)
where sortedByX = sortBy compare pairs
(leftByX:rightByX:_) = chunk (length sortedByX `div` 2) sortedByX
closestPair = minimumBy (compare `on` distance) [closestLeftPair, closestRightPair]
where closestLeftPair = dcClosest leftByX
closestRightPair = dcClosest rightByX
pairsWithinMinimumDelta = sortBy (compare `on` snd) $ filter withinMinimumDelta sortedByX
where withinMinimumDelta (x, _) = abs (xMidPoint - x) <= distance closestPair
where (xMidPoint, _) = last leftByX
----
It takes up marginally less space and I think the change to use pattern matching on the length of 'pairs' makes the biggest difference as the code is now lined up at the same level of indentation.
The other changes would have more of an impact if there were more than 2 things being compared - right now I think either of the versions of the code are equally readable. | null | null | [
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] | haskell-removing-if-statements | https://markhneedham.com/blog/2012/05/12/haskell-removing-if-statements |
false | 2012-05-12 14:55:30 | neo4j/Cypher: Finding the shortest path between two nodes while applying predicates | [
"neo4j",
"cypher"
] | [
"neo4j"
] | As I http://www.markhneedham.com/blog/2012/05/05/neo4j-what-question-do-you-want-to-answer/[mentioned in a blog post about a week ago] I decided to restructure the ThoughtWorks graph I've modelled in neo4j so that I could explicitly model projects and clients.
As a result I had to update a traversal I'd written for finding the shortest path between two people in the graph.
The original traversal query I had was really simple because I had a direct connection between the people nodes:
image::{{<siteurl>}}/uploads/2012/05/initial.png[]
[source,ruby]
----
neo = Neography::Rest.new
paths = neo.get_paths(start_node,
destination_node,
{ "type" => "colleagues" },
depth = 3,
algorithm = "shortestPath")
.map { |x| x["nodes"] }
.uniq
paths.map { |p| p.map { |node| neo.get_node_properties(node, "name")["name"] } }
----
I changed the way the graph was modelled so that you needed to follow a 'worked_on' relationship to a project in order to go between people:
image::{{<siteurl>}}/uploads/2012/05/v2.png[V2,576]
In the first version I'd written some pre processing code in Ruby to check whether or not people worked on the project at the same time before creating the relationship between the nodes.
It wasn't possible to do that with the new structure since I was working out if there was a colleagues relationship dynamically.
I therefore added a 'start_date' and 'end_date' property to the 'worked_on' relationship between a person node and project node so that I'd be able to take it into account when traversing the graph.]
I initially thought it would be possible to do this using cypher and wrote the following query:
[source,ruby]
----
start_node_id = neo.send(:get_id, start_node)
destination_node_id = neo.send(:get_id, destination_node)
query = " START a=node(#{start_node_id}), x=node(#{destination_node_id})"
query << " MATCH p = allShortestPaths( a-[:worked_on*]-x )"
query << " RETURN p, extract(person in nodes(p) : person.name)"
paths = neo.execute_query(query)
----
I wasn't sure how to do the filtering on 'start_date' and 'end_date' and https://groups.google.com/forum/?fromgroups#!topic/neo4j/t0UMIqqpZA4[Andres pointed out] that it's not actually currently possible to take relationship properties into account when traversing a graph with https://github.com/neo4j/community/tree/master/cypher[cypher] so we need to do the filtering on 'start_date' and 'end_date' in code.
My first attempt to do that looked like this:
[source,ruby]
----
paths = neo.get_paths(node1, node2, { "type" => "worked_on", "direction" => "all" },
depth = 5, algorithm = "shortestPath").uniq
matching = paths.select do |row|
relationshipPairs = row["relationships"].each_slice(2).to_a
relationshipPairs.all? do |pair|
r1 = neo.get_relationship(pair[0])["data"]
r2 = neo.get_relationship(pair[1])["data"]
r1["start_date"] <= r2["end_date"] && r1["end_date"] >= r2["start_date"]
end
end
----
The problem with this approach is that it's really slow due to the fact that I'm pulling back every relationship back in order to check the start and end dates.
Michael Hunger https://groups.google.com/forum/?fromgroups#!topic/neo4j/H1HRTVZp1ls[suggested an alternative approach] where I still used a cypher query but returned the relationships instead of just the nodes:
[source,ruby]
----
start_node_id = neo.send(:get_id, start_node)
destination_node_id = neo.send(:get_id, destination_node)
query = " START a=node(#{start_node_id}), x=node(#{destination_node_id})"
query << " MATCH p = allShortestPaths( a-[:worked_on*]-x )"
query << " RETURN p, rels(p), extract(person in nodes(p) : person.name)"
paths = neo.execute_query(query)
matching = paths["data"].select do |row|
relationship_pairs = row[1].each_slice(2).to_a
relationship_pairs.all? do |pair|
r1 = pair[0]["data"]
r2 = pair[1]["data"]
r1["start_date"] <= r2["end_date"] && r1["end_date"] >= r2["start_date"]
end
end
matching.map { |x| x[2].each_with_index.select { |x,idx| idx.even? }.map(&:first) }.uniq
----
This approach mostly works although it runs into problems in the scenario where two people have worked on the same project but not at the same time.
In that scenario the above code will return the relationship between them but it will then be filtered out by the start date/end date logic which means we won't see a shortest path between those nodes.
I'm not sure how to solve that problem so for the moment I'm going to take the http://www.markhneedham.com/blog/2012/05/05/neo4j-what-question-do-you-want-to-answer/#comment-520250796[Josh Adell's suggestion to keep the 'colleagues' relationship between nodes] and use that relationship for the shortest path traversal.
The 'worked_on' relationship is still useful for other things that I want to do but not this particular one. | null | null | [
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] | neo4jcypher-finding-the-shortest-path-between-two-nodes-while-applying-predicates | https://markhneedham.com/blog/2012/05/12/neo4jcypher-finding-the-shortest-path-between-two-nodes-while-applying-predicates |
false | 2012-05-22 10:26:49 | Scala/Haskell: A simple example of type classes | [
"scala",
"haskell"
] | [
"Scala",
"Haskell"
] | I never really understood type classes when I was working with Scala but I recently came across http://marakana.com/s/scala_typeclasses,1117/index.html[a video where Dan Rosen explains them pretty well].
Since the last time I worked in Scala I've been playing around with Haskell where type classes are much more common - for example if we want to compare two values we need to make sure that their type extends the 'Eq' type class.
http://learnyouahaskell.com/making-our-own-types-and-typeclasses[Learn Me a Haskell's chapter on type classes] defines them like so:
____
Typeclasses are like interfaces. A typeclass defines some behaviour (like comparing for equality, comparing for ordering, enumeration) and then types that can behave in that way are made instances of that typeclass. The behaviour of typeclasses is achieved by defining functions or just type declarations that we then implement. So when we say that a type is an instance of a typeclass, we mean that we can use the functions that the typeclass defines with that type.
____
In that chapter we then go on http://learnyouahaskell.com/making-our-own-types-and-typeclasses#a-yes-no-typeclass[to create a 'YesNo' type class] which defines Boolean semantics for all different types.
We start by defining the type class like so:
[source,haskell]
----
class YesNo a where
yesno :: a -> Bool
----
Any type which extends that type class can call this 'yesno' function and find out the truthyness of its value.
e.g.
[source,haskell]
----
instance YesNo Int where
yesno 0 = False
yesno _ = True
----
If we call that:
[source,haskell]
----
> yesno (0 :: Int)
False
> yesno (1 :: Int)
True
----
We get the expected result, but if we try to call it for a type which hasn't defined an instance of 'YesNo':
[source,haskell]
----
> yesno "mark"
No instance for (YesNo [Char])
arising from a use of `yesno'
Possible fix: add an instance declaration for (YesNo [Char])
In the expression: yesno "mark"
In an equation for `it': it = yesno "mark"
----
In Scala we can use traits and implicits to achieve the same effect. First we define the 'YesNo' trait:
[source,scala]
----
trait YesNo[A] {
def yesno(value:A) : Boolean
}
----
Then we define an implicit value in a companion object which creates an instance of the 'YesNo' type class for Ints:
[source,scala]
----
object YesNo {
implicit val intYesNo = new YesNo[Int] {
def yesno(value:Int) =
value match { case 0 => false; case _ => true } }
}
----
We then need to call our 'yesno' function and the idea is that if we've defined a type class instance for the type we call it with it will return us a boolean value and if not then we'll get a compilation error.
[source,scala]
----
object YesNoWriter {
def write[A](value:A)(implicit conv: YesNo[A]) : Boolean = {
conv.yesno(value)
}
}
----
If we call that:
[source,text]
----
> YesNoWriter.write(1)
res1: Boolean = true
> YesNoWriter.write(0)
res2: Boolean = false
----
It works as expected, but if we try to call it with a type which wasn't defined for the 'YesNo' type class we run into trouble:
[source,text]
----
> YesNoWriter.write("mark")
:10: error: could not find implicit value for parameter conv: YesNo[java.lang.String]
YesNoWriter.write("mark")
----
We can also define YesNoWriter like this by making use of http://stackoverflow.com/questions/3855595/scala-identifier-implicitly[context bounds]:
[source,scala]
----
object YesNoWriter {
def write[A:YesNo](value:A) : Boolean = {
implicitly[YesNo[A]].yesno(value)
}
}
----
I think this pattern is preferred when we might just be tunnelling the implicit parameter through to another method but we can still use it here and use the 'implicitly' method to get access to the implicit value.
I'm still not entirely sure about the use of implicits but in this case they provide another way to implement polymorphism without having to use inheritance.
http://marakana.com/s/scala_typeclasses,1117/index.html[Dan Rosen goes into much more detail about type classes and implicits] and I http://www.markhneedham.com/blog/2011/07/19/scala-rolling-with-implicit/[wrote about how we were using them on a project I worked on last year in an earlier blog post] if you want to learn more. | null | null | [
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] | scalahaskell-a-simple-example-of-type-classes | https://markhneedham.com/blog/2012/05/22/scalahaskell-a-simple-example-of-type-classes |
false | 2012-02-05 21:40:33 | Scala: Converting a scala collection to java.util.List | [
"scala"
] | [
"Scala"
] | I've been playing around a little with https://github.com/jiminoc/goose[Goose] - a library for extracting the main body of text from web pages - and I thought I'd try converting some of the code to be more scala-esque in style.
The API of the various classes/methods is designed so it's interoperable with Java code but in order to use functions like map/filter we need the collection to be a Scala one.
That's achieved by importing 'scala.collections.JavaConversions._' which will apply an implicit conversion to convert the Java collection into a Scala one.
I needed to go back to the Java one again which can be achieved with the following code:
[source,scala]
----
import scala.collection.JavaConversions._
val javaCollection = seqAsJavaList(Seq("abc"))
----
I also used that function in the https://github.com/mneedham/goose/blob/94da6fffc30db17a0a7e2060a46fc3317420a83e/src/main/scala/com/gravity/goose/text/StopWords.scala[StopWords.scala] object in Goose.
There are a load of other functions available in https://github.com/scala/scala/blob/master/src/library/scala/collection/JavaConversions.scala[JavaConversions] as well for going to a Dictionary, Map, Set and so on. | null | null | [
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] | scala-converting-a-scala-collection-to-java-util-list | https://markhneedham.com/blog/2012/02/05/scala-converting-a-scala-collection-to-java-util-list |
false | 2012-02-20 21:54:55 | Coding: Packaging by vertical slice | [
"coding"
] | [
"Coding"
] | On most of the applications I've worked on we've tended to organise/package classes by the function that they have or the layer that they fit in.
A typical package structure might therefore end up looking like this:
* com.awesome.project
** common
*** StringUtils
** controllers
*** LocationController
*** PricingController
** domain
*** Address
*** Cost
*** CostFactory
*** Location
*** Price
** repositories
*** LocationRepository
*** PriceRepository
** services
*** LocationService
This works reasonably well and allows you to find code which is similar in function but I find that more often than not a lot of the code that lives immediately around where you currently are isn't actually relevant at the time.
On the last couple of applications that I've worked on we've been trying to group code around a domain concept or vertical slice of functionality.
Therefore instead of the above code we'd end up with something more like this:
* com.awesome.project
** location
*** Address
*** Location
*** LocationController
*** LocationRepository
*** LocationService
** platform
*** StringUtils
** price
*** Cost
*** CostFactory
*** Distance
*** Price
*** PriceController
*** PriceRepository
We were having a discussion about grouping code like this last week and I was struggling to describe what I prefer about the latter approach.
In the code base that I'm currently working on, which provides an API for other systems to do stuff with, it seems to lead to a design where we have created lots of potential http://2012.33degree.org/talk/show/67[micro services] which could be deployed separately if we wanted.
That possibility wasn't as clear to me until we started grouping code this way.
Another cool thing is that it's made us think about the domain of the code more and whether the grouping of classes actually makes sense. We can also see which classes fall inside an aggregate root.
In the above example under 'pricing' we can tell that +++<cite>+++Price+++</cite>+++ is an aggregate root because it has a repository which allows us to get one and we can also tell that +++<cite>+++Cost+++</cite>+++ is probably contained by +++<cite>+++Price+++</cite>+++ since we don't have a way of directly getting a +++<cite>+++Cost+++</cite>+++.
We stop thinking about the domain classes as a whole, instead we think about them in their groups and how their aggregate roots might interact with each other if at all.
One disadvantage of grouping code like this is that if we're writing a new repository, for example, we've got further to navigate to find another one to base ours on.
On the other hand you could argue that if we're doing that then perhaps there's an abstraction we can pull out to remove the problem.
It's an interesting approach to grouping code and one thing we've started noticing is that we end up with some packages which have a lot of classes in them and others which have very few.
We're not sure whether this is a symptom of us not breaking down those particular packages enough or if there are just some areas of the domain that are bigger than others.
These are just some of my early observations so it'd be interesting to hear other's thoughts on whether this is a good/bad idea. | null | null | [
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] | coding-packaging-by-vertical-slice | https://markhneedham.com/blog/2012/02/20/coding-packaging-by-vertical-slice |
false | 2012-02-18 01:31:09 | Tech Leads & The Progress Principle | [
"software-development",
"leadership"
] | [
"Software Development"
] | I've been reading http://www.amazon.co.uk/Progress-Principle-Ignite-Engagement-Creativity/dp/142219857X/ref=sr_1_1?ie=UTF8&qid=1329528627&sr=8-1[The Progress Principle] on and off for the last couple of months and one of my favourite quotes from the book is the following:
____
Truly effective video game designers know how to create a sense of progress for players within all stages of a game. Truly effective managers know how to do the same for their subordinates.
____
While a tech lead might not like to be referred to as a manager I think part of the role does involve *helping developers to make progress* and the best ones I've worked with seem to do that instinctively.
They're able to see when someone has got very stuck with what they're doing and can then work out whether they just need to provide some advice on how they can move forward or if that's not working they can come and work together on the problem.
____
Work progress and setbacks matter so much because work matters so much. It's simply part of being human
____
For the last couple of weeks a colleague and I have been trying to work out how to migrate reference data from an existing application for an application which we're rewriting.
We've run into problems along the way such as looking at a test database which we didn't realise was a couple of years out of date and therefore didn't have the data in the right format to trying to link up data from tables which weren't meant to be linked.
On each setback the tech lead (Alex) helped us progress first by recognising that the test and production databases might not be synced up and giving us other ideas about table design based on his greater knowledge of the whole system.
On this occasion although we were making some progress we couldn't quite figure out how to get the data into the shape we wanted which was becoming increasingly frustrating.
____
The effect of setbacks on emotions is stronger than the effect of progress\...the power of setbacks to diminish happiness is more than twice as strong as the power of progress to boost happiness.
____
Eventually Alex came and paired on the problem and was able to see something that we'd missed which allowed us to solve the problem.
I think the balance of initially allowing us to try and solve it ourselves and giving advice before taking a more hands on approach matches up fairly closely with what the authors of The Progress Principle suggest.
It's certainly been an interesting book to read and one which I think is very applicable to people working in software teams. | null | null | [
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] | tech-leads-the-progress-principle | https://markhneedham.com/blog/2012/02/18/tech-leads-the-progress-principle |
false | 2012-02-11 10:29:15 | Java: Fooled by java.util.Arrays.asList | [
"java"
] | [
"Java"
] | I've been playing around with the http://code.google.com/p/boilerpipe/[boilerpipe] code base by writing some tests around it to check my understanding but ran into an interesting problem using +++<cite>+++java.util.Arrays.asList+++</cite>+++ to pass a list into one of the functions.
I was testing the +++<cite>+++https://github.com/mneedham/boilerpipe/blob/master/src/main/de/l3s/boilerpipe/filters/heuristics/BlockProximityFusion.java[BlockProximityFusion]+++</cite>+++ class which is used to merge together adjacent text blocks.
I started off calling that class like this:
[source,java]
----
import static java.util.Arrays.asList;
@Test
public void willCallBlockProximityFustion() throws Exception {
TextDocument document = new TextDocument(asList(contentBlock("some words"), contentBlock("followed by more words")));
BlockProximityFusion.MAX_DISTANCE_1.process(document);
}
private TextBlock contentBlock(String words) {
TextBlock textBlock = new TextBlock(words, new BitSet(), wordCount(words), 0, 0, 0, 0);
textBlock.setIsContent(true);
return textBlock;
}
----
Which blows up like this:
[source,java]
----
java.lang.UnsupportedOperationException
at java.util.AbstractList.remove(AbstractList.java:144)
at java.util.AbstractList$Itr.remove(AbstractList.java:360)
at de.l3s.boilerpipe.filters.heuristics.BlockProximityFusion.process(BlockProximityFusion.java:115)
at de.l3s.boilerpipe.filters.heuristics.BlockProximityFusionTest.willCallBlockProximityFustion(BlockProximityFusionTest.java:63)
----
The code around that area is trying to remove an element from an iterator...
[source,java]
----
if (ok) {
prevBlock.mergeNext(block);
it.remove();
changes = true;
} else {
----
...which was created from the list that we passed into the constructor of +++<cite>+++TextDocument+++</cite>+++:
[source,java]
----
for (Iterator<TextBlock> it = textBlocks.listIterator(offset); it
----
The +++<cite>+++remove+++</cite>+++ method is not implemented on the list created by 'Arrays.asList' which is weird since I thought it created an +++<cite>+++ArrayList+++</cite>+++ which does implement +++<cite>+++remove+++</cite>+++!
I've now learnt that the +++<cite>+++ArrayList+++</cite>+++ created by 'Arrays.asList' is actually a private inner class of +++<cite>+++Arrays+++</cite>+++ and doesn't implement the +++<cite>+++remove+++</cite>+++ method!
Who knew... | null | null | [
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] | java-fooled-by-java-util-arrays-aslist | https://markhneedham.com/blog/2012/02/11/java-fooled-by-java-util-arrays-aslist |
false | 2012-02-11 10:55:58 | Oracle Spatial: java.sql.SQLRecoverableException: No more data to read from socket | [
"oracle"
] | [
"Software Development"
] | We're using Oracle Spatial on my current project so that we can locate points within geographical regions and decided earlier in the week to rename the table where we store the http://docs.oracle.com/cd/B19306_01/appdev.102/b14255/sdo_objrelschema.htm#i1004087[SDO_GEOMETRY] objects for each region.
We did that by using a normal table alter statement but then started seeing the following error when we tried to insert test data in that column which takes an SDO_GEOMETRY object:
[source,text]
----
org.hibernate.exception.JDBCConnectionException: could not execute native bulk manipulation query
at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:99)
at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66)
at org.hibernate.engine.query.NativeSQLQueryPlan.performExecuteUpdate(NativeSQLQueryPlan.java:219)
at org.hibernate.impl.SessionImpl.executeNativeUpdate(SessionImpl.java:1310)
at org.hibernate.impl.SQLQueryImpl.executeUpdate(SQLQueryImpl.java:396)
at $Proxy53.insertTariffZone(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:45)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:42)
at org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:20)
at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28)
at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:263)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:68)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.junit.runner.JUnitCore.run(JUnitCore.java:157)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:71)
at com.intellij.rt.execution.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:202)
at com.intellij.rt.execution.junit.JUnitStarter.main(JUnitStarter.java:63)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:120)
Caused by: java.sql.SQLRecoverableException: No more data to read from socket
at oracle.jdbc.driver.T4CMAREngine.unmarshalUB1(T4CMAREngine.java:1157)
at oracle.jdbc.driver.T4CTTIfun.receive(T4CTTIfun.java:290)
at oracle.jdbc.driver.T4CTTIfun.doRPC(T4CTTIfun.java:192)
at oracle.jdbc.driver.T4C8Oall.doOALL(T4C8Oall.java:531)
at oracle.jdbc.driver.T4CPreparedStatement.doOall8(T4CPreparedStatement.java:207)
at oracle.jdbc.driver.T4CPreparedStatement.executeForRows(T4CPreparedStatement.java:1044)
at oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout(OracleStatement.java:1329)
at oracle.jdbc.driver.OraclePreparedStatement.executeInternal(OraclePreparedStatement.java:3584)
at oracle.jdbc.driver.OraclePreparedStatement.executeUpdate(OraclePreparedStatement.java:3665)
at oracle.jdbc.driver.OraclePreparedStatementWrapper.executeUpdate(OraclePreparedStatementWrapper.java:1352)
at com.mchange.v2.c3p0.impl.NewProxyPreparedStatement.executeUpdate(NewProxyPreparedStatement.java:105)
at org.hibernate.engine.query.NativeSQLQueryPlan.performExecuteUpdate(NativeSQLQueryPlan.java:210)
... 39 more
----
We couldn't see anything particularly wrong in what we'd done and none of the error messages we got were being particularly helpful.
Eventually we asked the DBA on our team to help out and he showed us how to look up the Oracle system logs which in our case were located at:
[source,text]
----
/u01/app/oracle/diag/rdbms/orcl/orcl/trace
----
We ran the query again and noticed new files were being written to that location, one of which had the following error message:
[source,text]
----
Exception [type: SIGSEGV, Address not mapped to object] [ADDR:0x40] [PC:0x2FDAE7D, mdidxid()+2563] [flags: 0x0, count: 1]
DDE: Problem Key 'ORA 7445 [mdidxid()+2563]' was flood controlled (0x2) (incident: 3851)
ORA-07445: exception encountered: core dump [mdidxid()+2563] [SIGSEGV] [ADDR:0x40] [PC:0x2FDAE7D] [Address not mapped to object] []
ORA-13203: failed to read USER_SDO_GEOM_METADATA view
ssexhd: crashing the process...
Shadow_Core_Dump = PARTIAL
----
We'd forgotten to rename the table in the USER_SDO_GEOM_METADATA view, exactly as the message says!
Running the following statement sorted us out:
[source,text]
----
UPDATE user_sdo_geom_metadata SET table_name = 'NEW_NAME' where table_name = 'OLD_NAME';
---- | null | null | [
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] | oracle-spatial-java-sql-sqlrecoverableexception-no-more-data-to-read-from-socket | https://markhneedham.com/blog/2012/02/11/oracle-spatial-java-sql-sqlrecoverableexception-no-more-data-to-read-from-socket |
false | 2012-02-11 10:02:09 | Downloading the JDK 6 source code | [
"software-development"
] | [
"Software Development"
] | Every now and then I want to get the JDK source code onto a new machine and it always seems to take me longer than I expect it to so this post is an attempt to help future me!
Googling for this takes me to http://download.java.net/jdk6/6u23/promoted/latest/[this page] and I always think I'll just checkout the http://java.net/projects/jdk-jrl-sources/[SVN repository] and hook that up but it doesn't seem to be available.
[source,text]
----
$ wget -S http://java.net/projects/jdk-jrl-sources/
--2012-02-11 09:51:34-- http://java.net/projects/jdk-jrl-sources/
Resolving java.net (java.net)... 192.9.164.103
Connecting to java.net (java.net)|192.9.164.103|:80... connected.
HTTP request sent, awaiting response...
HTTP/1.1 404 Not Found
Date: Sat, 11 Feb 2012 09:51:34 GMT
----
The alternative is therefore to download the jar provided which we can do like this:
[source,text]
----
wget http://www.java.net/download/jdk6/6u23/promoted/b05/jdk-6u23-fcs-src-b05-jrl-12_nov_2010.jar
----
The next step is then to execute the jar which I somehow didn't realise until I unpacked it and had a look at the README:
[source,text]
----
java -jar jdk-6u23-fcs-src-b05-jrl-12_nov_2010.jar
----
You get asked to choose a folder location for the sources and then the code is under 'src/share/classes'. So for me I need to give IntelliJ a source path of :
[source,text]
----
/Users/mneedham/github/j2se/src/share/classes
----
You can browse the different versions of the source code by changing the version number at the end of URLs like http://download.java.net/jdk6/6u23/[this one]. At the moment version 23 is the latest one available. | null | null | [
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] | downloading-the-jdk-6-source-code | https://markhneedham.com/blog/2012/02/11/downloading-the-jdk-6-source-code |
false | 2012-02-28 00:21:59 | Haskell: Creating a sliding window over a collection | [
"haskell"
] | [
"Haskell"
] | A couple of years ago when I was playing around with F# I came across the +++<cite>+++http://msdn.microsoft.com/en-us/library/ee340420.aspx[Seq.windowed]+++</cite>+++ function which allows you to http://www.markhneedham.com/blog/2010/01/14/f-refactoring-to-sequencefor-expressions/[create a sliding window of a specific size over a collection].
Taking an example from the F# documentation page:
[source,ocaml]
----
let seqNumbers = [ 1.0; 1.5; 2.0; 1.5; 1.0; 1.5 ] :> seq<float>
let seqWindows = Seq.windowed 3 seqNumbers
----
We end up with this:
[source,text]
----
Initial sequence:
1.0 1.5 2.0 1.5 1.0 1.5
Windows of length 3:
[|1.0; 1.5; 2.0|] [|1.5; 2.0; 1.5|] [|2.0; 1.5; 1.0|] [|1.5; 1.0; 1.5|]
----
Problem 8 of Project Euler is defined like so:
____
Find the greatest product of five consecutive digits in the 1000-digit number. 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 12540698747158523863050715693290963295227443043557 66896648950445244523161731856403098711121722383113 62229893423380308135336276614282806444486645238749 30358907296290491560440772390713810515859307960866 70172427121883998797908792274921901699720888093776 65727333001053367881220235421809751254540594752243 52584907711670556013604839586446706324415722155397 53697817977846174064955149290862569321978468622482 83972241375657056057490261407972968652414535100474 82166370484403199890008895243450658541227588666881 16427171479924442928230863465674813919123162824586 17866458359124566529476545682848912883142607690042 24219022671055626321111109370544217506941658960408 07198403850962455444362981230987879927244284909188 84580156166097919133875499200524063689912560717606 05886116467109405077541002256983155200055935729725 71636269561882670428252483600823257530420752963450
____
In order to do that I need to convert that number into arrays of size 5 which first involves converting the number into an array of the individual digits:
[source,haskell]
----
charToArray :: [Char] -> [Int]
charToArray [] = []
charToArray (x:xs) = (read [x]::Int) : (charToArray xs)
number = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450"
----
As far as I know there isn't a +++<cite>+++windowed+++</cite>+++ function in Haskell so I wrote the following one to get the arrays of 5 consecutive elements:
[source,haskell]
----
windowed :: Int -> [a] -> [[a]]
windowed size ls =
(case ls of
[] -> []
x:xs ->
if length ls >= size then
(take size ls) : windowed size xs
else windowed size xs)
----
We can then use it like this:
[source,haskell]
----
*Main> maximum (map (\ls -> foldl (*) 1 ls) (windowed 5 (charToArray number)))
40824
---- | null | null | [
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] | haskell-creating-a-sliding-window-over-a-collection | https://markhneedham.com/blog/2012/02/28/haskell-creating-a-sliding-window-over-a-collection |
false | 2012-02-28 00:02:21 | Haskell: Getting the nth element in a list | [
"haskell"
] | [
"Haskell"
] | I started trying to solve some of the http://projecteuler.net/problems[Project Euler problems] as a way to learn a bit of Haskell and http://projecteuler.net/problem=7[problem 7] is defined like so:
____
By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6th prime is 13. What is the 10 001st prime number?
____
I read that the http://en.wikipedia.org/wiki/Sieve_of_Eratosthenes[Sieve of Eratosthenes] is a useful algorithm for working out all the prime numbers and there's http://en.literateprograms.org/Sieve_of_Eratosthenes_(Haskell)#chunk use:primes_naive[a page on the Literate Programs wiki explaining how to derive them using it].
The most naive implementation of all the primes ends up reading like this:
[source,haskell]
----
primes = 2 : sieve [3,5..] where
sieve [] = []
sieve (p:xs) = p : sieve (xs `minus` [p,p+2*p..])
----
That gives an infinite sequence of all the prime numbers but I wanted to be able to specifically pick the 10,001st prime number which I assumed would be named 'nth' or something like that.
As it turns out we actually need to use the '!!' operator which I found out from http://scienceblogs.com/goodmath/2009/11/writing_basic_functions_in_has.php[Mark Chu-Carroll's blog post]:
[source,haskell]
----
*Main> :t (!!)
(!!) :: [a] -> Int -> a
----
[source,haskell]
----
problem_7 = primes !! 10000 -- 0 indexed so we need to get the position one before 10,001
----
It takes a while to run but we end up with the answer:
[source,haskell]
----
*Main> problem_7
104743
---- | null | null | [
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] | haskell-getting-the-nth-element-in-a-list | https://markhneedham.com/blog/2012/02/28/haskell-getting-the-nth-element-in-a-list |
false | 2012-02-26 00:09:03 | Java: Faking a closure with a factory to create a domain object | [
"java"
] | [
"Java"
] | Recently we wanted to create a domain object which needed to have an external dependency in order to do a calculation and we wanted to be able to stub out that dependency in our tests.
Originally we were just new'ing up the dependency inside the domain class but that makes it impossible to control it's value in a test.
Equally it didn't seem like we should be passing that dependency into the constructor of the domain object since it's not a piece of state which defines the object, just something that it uses.
We ended up with something similar to the following code where we have our domain object as an inner class:
[source,java]
----
public class FooFactory {
private final RandomService randomService;
public FooFactory(RandomService randomService) {
this.randomService = randomService;
}
public Foo createFoo(String bar, int baz) {
return new Foo(bar, baz);
}
class Foo {
private String bar;
private int baz;
public Foo(String bar, int baz) {
this.bar = bar;
this.baz = baz;
}
public int awesomeStuff() {
int random = randomService.random(bar, baz);
return random * 3;
}
}
}
----
A test on that code could then read like this:
[source,java]
----
public class FooFactoryTest {
@Test
public void createsAFoo() {
RandomService randomService = mock(RandomService.class);
when(randomService.random("bar", 12)).thenReturn(13);
FooFactory.Foo foo = new FooFactory(randomService).createFoo("bar", 12);
assertThat(foo.awesomeStuff(), equalTo(39));
}
}
----
It's a bit of a verbose way of getting around the problem but it seems to work reasonably well. | null | null | [
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] | java-faking-a-closure-with-a-factory-to-create-a-domain-object | https://markhneedham.com/blog/2012/02/26/java-faking-a-closure-with-a-factory-to-create-a-domain-object |
false | 2012-02-21 22:21:43 | Optimising for typing | [
"software-development"
] | [
"Software Development"
] | My colleague Ola Bini recently wrote a post describing http://olabini.com/blog/2012/02/notes-on-syntax/[his thoughts on the syntax of programming languages] and while the post in general is interesting the bit that most resonates with me at the moment is the following:
____
Typing fewer characters doesn't actually optimize for writing either - the intuition behind that statement is quite easy: imagine you had to write a book. However, instead of writing it in English, you just wrote the gzipped version of the book directly. You would definitely have to type much less - but would that in any way help you write the book? No, probably it would make it harder. So *typing I definitely don't want to optimize*.
____
On the application I'm currently working on we have a full time DBA on the team who favours a much more concise style of naming in tables than most developers would be used to.
image::{{<siteurl>}}/uploads/2012/02/acronyms.gif[Acronyms,325]
We have an acronym for each table and if there's a foreign key reference to a field in that table elsewhere then we'll use the acronym as part of the column name in the other table.
For example if we had a reference to a table called +++<cite>+++Person+++</cite>+++ then our foreign key column name might be +++<cite>+++per_id+++</cite>+++.
One of the problems we were trying to overcome is that from what I understand https://forums.oracle.com/forums/thread.jspa?threadID=2141234[Oracle has a field name limit of 30 characters] so we would eventually exceed that if our naming was too verbose.
By using acronyms we can keep a more consistent style of naming rather than having some names being spelt out fully and others being abbreviated.
The other argument used for the more concise naming convention is that it's *much quicker to type* columns named in this way and we don't have auto complete functionality available in sqlplus as we do in most IDEs.
The disadvantage of the approach is that it's now very difficult to understand what data is being stored in a table just by looking at it - you need to first learn all the acronyms and then do the translations in your head.
If you're working with the tables all day long then it becomes second nature but if your use of them is more sporadic it takes a bit longer.
We're trying to keep interactions with the database reasonably minimal so hopefully we won't need to do any really complex queries with joins in which would be truly difficult to understand when we come back to them! | null | null | [
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] | optimising-for-typing | https://markhneedham.com/blog/2012/02/21/optimising-for-typing |
false | 2012-02-08 22:34:02 | Delivery approach and constraints | [
"software-development"
] | [
"Software Development"
] | In my latest post I described an approach we'd been taking when analysing how to rewrite part of an existing system so that we could http://www.markhneedham.com/blog/2012/02/06/looking-for-the-seam/[build the new version in an incremental way].
Towards the end I pointed out that we weren't actually going to be using an incremental approach as we'd initially thought which was due to a couple of constraints that we have to work under.
== Hardware provisioning
One of the main reasons that we favoured an incremental approach is that we'd be able to deploy to production early which would allow us to show a quicker return on investment.
Unfortunately we later on came to learn that it takes *around 6-9 months to provision production hardware*.
It therefore didn't make a lot of sense to take an approach where we tried to integrate into the existing system since we wouldn't be able to deploy that work.
We're working under the assumption that in 6-9 months we'll probably be able to rewrite the whole thing and can therefore avoid the need to write the code which would allow us to integrate into the existing version.
We couldn't see any value in writing bridging code between the existing and new versions of the application if it never sees production - we'd put in all the effort for no reward.
== Running two systems side by side
Even if we had been able to provision hardware in time to release incrementally we came to learn that *the business would be uncomfortable with having two versions of the same application in production at the same time*.
The application is used to do pricing and the worry was that the different versions might produce different results for the same inputs.
It's arguably something we may have been able to overcome if we could prove that the new version worked exactly the same as the existing one by running both applications against a set of scenarios and checking that they returned the same results.
Theoretically I suppose the first problem could also be overcome but it's a battle we've chosen to leave alone for the moment.
What I found interesting in the discussions about the way we should deliver our solution was that I'd worked under the assumption that an incremental approach was always a better approach but with these constraints it isn't. | null | null | [
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] | delivery-approach-and-constraints | https://markhneedham.com/blog/2012/02/08/delivery-approach-and-constraints |
false | 2012-02-06 22:22:16 | Looking for the seam | [
"software-development"
] | [
"Software Development"
] | During December/early January we spent some time analysing an existing system which we were looking to rewrite and our approach was to look for how we could do this in an incremental way.
In order to do that we needed to look for what Michael Feathers refers to as a http://www.markhneedham.com/blog/2009/06/21/seams-some-thoughts/[seam]:
____
A seam is a place where you can alter behaviour in your program without editing in that place
____
On previous times when I've been thinking about seams it's been at a code level inside a single application but this time there were more than one pieces interacting.
image::{{<siteurl>}}/uploads/2012/02/seam.gif[Seam,253]
We knew that there was a web application where the user could request a quote which would be calculated offline and then an email sent to them when it was ready to view.
That led us to believe that there was probably some sort of queue being used to store the outstanding requests and there'd probably be some sort of application processing the requests.
As it turned out the design of the system actually looked like the diagram on the right with the database effectively as a queue.
We then needed to work out which tables we had to read from/write to so that we'd be able to just replace the 'polling application' and leave the 'web application' alone.
We were then able to come up with a design whereby we isolated any interaction with the database into a 'bridging application' which then farmed requests out to a new application which we could scale horizontally.
It could also take care of writing the quotes back into the database so the existing application could read them back onto the screen.
Although we ended up not using this architecture for other reasons I think it's a neat way of looking at systems to work out how we can change them with minimal impact. | null | null | [
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] | looking-for-the-seam | https://markhneedham.com/blog/2012/02/06/looking-for-the-seam |
false | 2012-02-24 02:03:34 | Thou shalt storm | [
"software-development",
"teams"
] | [
"Software Development"
] | On the majority of the teams that I've worked on there's been a time where everyone seems to be disagreeing with each other about almost everything and the whole situation becomes pretty tense for all involved.
The first time I came across this it seemed quite dysfunctional but I was introduced to http://en.wikipedia.org/wiki/Tuckman's_stages_of_group_development[Bruce Tuckman's model of group development] which helps to explain what's going on.
Tuckman outlines four stages which teams tend to go through - *forming, storming, norming and performing*.
The forming stage tends to be fairly nice because people have mostly just met each other and don't want to cause any conflict but eventually we move into the storming stage which is where it gets interesting:
____
The team addresses issues such as what problems they are really supposed to solve, how they will function independently and together and what leadership model they will accept. Team members open up to each other and confront each other's ideas and perspectives. The storming stage is necessary to the growth of the team. It can be contentious, unpleasant and even painful to members of the team who are averse to conflict. Tolerance of each team member and their differences should be emphasized. Without tolerance and patience the team will fail.
____
In agile teams this conflict often tends to rear its head in a retrospective and people will tend to go away from it feeling pretty bad about the whole thing and wishing they could work on another team!
In reality it's just a stage that the team is going through and as long as team members address the differences of opinion they have rather than hiding from that conversation then the team can move on to being more productive.
One cool thing I've noticed is that if people have worked with each other before then they've probably already previously got over this hurdle and can therefore either skip/spend much less time on the storming stage.
A colleague of mine pointed out that we *shouldn't be alarmed* at the way people interact with each other in the storming stage but we *should be aware* when we're in it which I think is a pretty good way of looking at it.
Gina Abudi has http://www.pmhut.com/the-five-stages-of-project-team-development[an article from a couple of years ago] which goes through the storming stage and all the other ones in more detail. | null | null | [
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] | thou-shalt-storm | https://markhneedham.com/blog/2012/02/24/thou-shalt-storm |
false | 2012-02-13 21:16:24 | Reading Code: boilerpipe | [
"reading-code"
] | [
"Reading Code"
] | I'm a big fan of the iPad application http://flipboard.com/[Flipboard], especially it's ability to filter out the non important content on web pages and just show me the main content so I've been looking around at open source libraries which provide that facility.
I came across http://www.quora.com/How-do-Read-It-Later-Instapaper-Flipboard-etc-extract-articles-from-a-page[a quora page where someone had asked how this was done] and the suggested libraries were http://code.google.com/p/arc90labs-readability/downloads/detail?name=readability.js&can=2&q=[readability], https://github.com/jiminoc/goose[Goose] and http://code.google.com/p/boilerpipe/[boilerpipe].
boilerpipe was written by Christian Kohlschütter and has a corresponding http://www.l3s.de/~kohlschuetter/boilerplate/[paper] and http://videolectures.net/wsdm2010_kohlschutter_bdu/[video] as well.
At a very high level this is my understanding of what the code is doing:
image::{{<siteurl>}}/uploads/2012/02/boilerpipe_highlevel.gif[Boilerpipe highlevel,467]
It is based around a pipes/filters architectural style whereby a +++<cite>+++TextDocument+++</cite>+++ is passed through filters which perform transformations on it. After they've all been applied we can retrieve the main content of the article via a method call.
I've used the pipes/filters approach when playing around with clojure/F# but the problems I was working on were much smaller than this.
In the code there around about 7 or 8 fields being manipulated so I did sometimes find it difficult to know how fields could end up with certain values which often involved looking at other filters and seeing what they did to the document.
I always thought it should be possible to *view each filter completely independently but when there's state manipulation involved that doesn't seem to be the case*.
Luckily Christian has comments in his code which explain how you might compose the different filters again and why certain filters don't make sense on their own, only if they're combined with others.
For example the +++<cite>+++BlockProximityFusion+++</cite>+++ class, which is used to merge together adjacent text blocks, contains the following comment:
____
Fuses adjacent blocks if their distance (in blocks) does not exceed a certain limit. This probably makes sense only in cases where an upstream filter already has removed some blocks.
____
I suppose the same thing could also have been achieved with some automated tests showing scenarios where different filters are composed.
[cols=2*]
|===
| Christian makes use of the logical OR ("
| ") operator throughout the code base to ensure that all the filters get executed even if a previous one has successfully made changes to the document.
|===
For example the main entry point into the code is +++<cite>+++ArticleExtractor+++</cite>+++ which reads like this:
[source,java]
----
public final class ArticleExtractor extends ExtractorBase {
public static final ArticleExtractor INSTANCE = new ArticleExtractor();
public static ArticleExtractor getInstance() {
return INSTANCE;
}
public boolean process(TextDocument doc) throws BoilerpipeProcessingException {
return TerminatingBlocksFinder.INSTANCE.process(doc)
| new DocumentTitleMatchClassifier(doc.getTitle()).process(doc)
| NumWordsRulesClassifier.INSTANCE.process(doc)
// cut for brevity
| ExpandTitleToContentFilter.INSTANCE.process(doc);
}
}
----
I http://www.markhneedham.com/blog/2010/03/28/reading-code-underscore-js/[noticed a similar thing in the underscore.js code] but in that case the '&&' operator was used to execute code on the right hand side only if the expression on the left had been successful.
If we're not using any libraries that simulate first class collections in Java (http://code.google.com/p/totallylazy/[totallylazy]/http://code.google.com/p/guava-libraries/[Guava] for example) then something like this could also work:
[source,java]
----
public final class ArticleExtractor extends ExtractorBase {
...
public boolean process(TextDocument doc) throws BoilerpipeProcessingException {
List<BoilerpipeFilter> filters = asList(TerminatingBlocksFinder.INSTANCE, new DocumentTitleMatchClassifier(doc.getTitle()), ExpandTitleToContentFilter.INSTANCE);
boolean result = true;
for (BoilerpipeFilter filter : filters) {
result = result | filter.process(doc);
}
return result;
}
}
----
I originally started just browsing the code and thought I roughly understood it before realising I couldn't explain what it actually did. I therefore changed my approach and started https://github.com/mneedham/boilerpipe[writing some unit tests around it] to see what the current behaviour was.
From what I can tell the main algorithm in the code is contained inside +++<cite>+++NumWordsRulesClassifier+++</cite>+++ where each text block in the document is classified as being either content or non content.
I wrote tests covering all the scenarios in this class and then refactored the code to see if I could make it a bit more expressive. I ended up with https://github.com/mneedham/boilerpipe/blob/master/src/main/de/l3s/boilerpipe/filters/english/NumWordsRulesClassifier.java[this]:
[source,java]
----
private boolean currentBlockHasContent(final TextBlock prev, final TextBlock curr, final TextBlock next) {
if (fewLinksInCurrentBlock(curr)) {
if (fewLinksInPreviousBlock(prev)) {
return curr.getNumWords() > 16 || next.getNumWords() > 15 || prev.getNumWords() > 4;
} else {
return curr.getNumWords() > 40 || next.getNumWords() > 17;
}
}
return false;
}
private boolean fewLinksInCurrentBlock(TextBlock curr) {
return curr.getLinkDensity() <= 0.333333;
}
private boolean fewLinksInPreviousBlock(TextBlock prev) {
return prev.getLinkDensity() <= 0.555556;
}
----
The logic is all based around examining the text blocks immediately before and after the current one to work out whether or not it's likely to be boiler plate content.
The logic around the next/previous text blocks is written quite imperatively and feels like it could be made more concise by using something like http://www.markhneedham.com/blog/2010/01/14/f-refactoring-to-sequencefor-expressions/[F#'s 'Seq.windowed' over the collection] but I can't quite see how at the moment!
You can read more about the algorithm on pages 4-7 of http://www.l3s.de/~kohlschuetter/publications/wsdm187-kohlschuetter.pdf[the paper].
From running the code against a few articles I've got saved to http://readitlaterlist.com/l[ReadItLater] it does seem to work reasonably well.
== Overall\...
I haven't read every single bit of the code base but from what I have read I think boilerpipe is a pretty cool library and the approach to filtering content is neat.
I found it especially useful to be able to read parts of the paper and then go and look at the corresponding code. Often that type of thing remains up to the imagination of the reader from my experience! | null | null | [
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] | reading-code-boilerpipe | https://markhneedham.com/blog/2012/02/13/reading-code-boilerpipe |
false | 2012-02-25 23:40:07 | Haskell: Viewing the steps of a reduce | [
"haskell"
] | [
"Haskell"
] | I've been playing around with Haskell a bit over the last week and in the bit of code I was working on I wanted to fold over a collection but see the state of the fold after each step.
I remembered Don Syme showing me how to do something similar during the F# Exchange last year while we were http://fssnip.net/8R[writing some code to score a tennis game] by using +++<cite>+++http://msdn.microsoft.com/en-us/library/ee340364.aspx[Seq.scan]+++</cite>+++.
I didn't realise there was also a scan function in Haskell which could be defined in terms of +++<cite>+++foldl+++</cite>+++ if we wanted to:
[source,haskell]
----
foldscanl :: (a -> b -> a) -> a -> [b] -> [a]
foldscanl fn acc ls = foldl (\ x y -> x ++ [fn (last x) y]) [acc] ls
----
[source,haskell]
----
*Main> foldscanl (+) 0 [1..10]
[0,1,3,6,10,15,21,28,36,45,55]
----
The http://hackage.haskell.org/packages/archive/base/latest/doc/html/src/GHC-List.html#scanl[actual function is defined like so]:
[source,haskell]
----
scanl :: (a -> b -> a) -> a -> [b] -> [a]
scanl f q ls = q : (case ls of
[] -> []
x:xs -> scanl f (f q x) xs)
----
[source,haskell]
----
*Main> scanl (*) 1 [1..10]
[1,1,2,6,24,120,720,5040,40320,362880,3628800]
----
I've been finding +++<cite>+++scanl+++</cite>+++ particularly useful for working out whether the function I'm using to fold over the collection is actually working correctly.
There's also a +++<cite>+++scanr+++</cite>+++ if we want to fold over the collection from the right hand side. | null | null | [
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] | haskell-viewing-the-steps-of-a-reduce | https://markhneedham.com/blog/2012/02/25/haskell-viewing-the-steps-of-a-reduce |
false | 2012-11-29 17:09:29 | Kaggle Digit Recognizer: Weka AdaBoost attempt | [
"machine-learning-2",
"kaggle"
] | [
"Machine Learning"
] | In our latest attempt at http://www.kaggle.com/c/digit-recognizer[Kaggle's Digit Recognizer] http://twitter.com/jennifersmithco[Jen] and I decided to try out http://en.wikipedia.org/wiki/Boosting_(machine_learning)[boosting] on our random forest algorithm, an approach that Jen had come across in a talk at the http://clojure-conj.org/[Clojure Conj].
We couldn't find any documentation that it was possible to apply boosting to Mahout's random forest algorithm but we knew it was possible with http://www.cs.waikato.ac.nz/ml/weka/[Weka] so we decided to use that instead!
As I understand it the way that boosting works in the context of random forests is that each of the trees in the forest will be assigned a weight based on how accurately it's able to classify the data set and these weights are then used in the voting stage.
There's a more detailed explanation of the algorithm in http://e-research.csm.vu.edu.au/files/xu/04634231.pdf[this paper].
We had the following code to train the random forest:
[source,java]
----
public class WekaAdaBoostRandomForest {
public static void main(String[] args) {
FastVector attributes = attributes();
Instances instances = new Instances("digit recognizer", attributes, 40000);
instances.setClassIndex(0);
String[] trainingDataValues = KaggleInputReader.fileAsStringArray("data/train.csv");
for (String trainingDataValue : trainingDataValues) {
Instance instance = createInstance(trainingDataValue);
instances.add(instance);
}
Classifier classifier = buildClassifier(instances);
}
private static Classifier buildClassifier(Instances instances) throws Exception {
RandomForest randomForest = new RandomForest();
randomForest.setNumTrees(200);
MultiBoostAB multiBoostAB = new MultiBoostAB();
multiBoostAB.setClassifier(randomForest);
multiBoostAB.buildClassifier(instances);
return multiBoostAB;
}
private static FastVector attributes() {
FastVector attributes = new FastVector();
attributes.addElement(digit());
for (int i = 0; i <= 783; i++) {
attributes.addElement(new Attribute("pixel" + i));
}
return attributes;
}
private static Attribute digit() {
FastVector possibleClasses = new FastVector(10);
possibleClasses.addElement("0");
possibleClasses.addElement("1");
possibleClasses.addElement("2");
possibleClasses.addElement("3");
possibleClasses.addElement("4");
possibleClasses.addElement("5");
possibleClasses.addElement("6");
possibleClasses.addElement("7");
possibleClasses.addElement("8");
possibleClasses.addElement("9");
return new Attribute("label", possibleClasses, 0);
}
}
----
The code in the +++<cite>+++KaggleInputReader+++</cite>+++ is used to process the CSV file and is the same as that included http://www.markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-mahout-random-forest-attempt/[in a previous post] so I won't bother including it in this post.
The Weka API is slightly different to the Mahout one in that we have to tell it the names of all the labels that a combination of features belong to whereas with Mahout it seems to work it out for you.
Wf use the +++<cite>+++RandomForest+++</cite>+++ class to build up our trees and then wrap it in the +++<cite>+++MultiBoostAB+++</cite>+++ class to apply the boosting. There is another class we could use to do this called +++<cite>+++AdaBoostM1+++</cite>+++ but they both seem to give similar results so we stuck with this one.
Once we'd trained the classifier up we ran it against our test data set like so:
[source,java]
----
public class WekaAdaBoostRandomForest {
public static void main(String[] args) {
...
String[] testDataValues = KaggleInputReader.fileAsStringArray("data/test.csv");
FileWriter fileWriter = new FileWriter("weka-attempts/out-" + System.currentTimeMillis() + ".txt");
PrintWriter out = new PrintWriter(fileWriter);
for (String testDataValue : testDataValues) {
Iteration iterate = iterate(testDataValue, classifier, instances);
out.println((int) iterate.getPrediction());
System.out.println("Actual: " + iterate.getActual() + ", Prediction: " + iterate.getPrediction());
}
out.close();
}
private static Iteration iterate(String testDataValue, Classifier classifier, Instances instances) throws Exception {
Instance predictMe = createTestDataBasedInstanceToPredict(testDataValue, instances);
double prediction = classifier.classifyInstance(predictMe);
return new Iteration(new Double(testDataValue.split(",")[0]), prediction);
}
private static Instance createTestDataBasedInstanceToPredict(String testDataValue, Instances instances) {
String[] columns = testDataValue.split(",");
Instance instance = new Instance(785);
for (int i = 0; i < columns.length; i++) {
instance.setValue(new Attribute("pixel" + i, i+1), new Double(columns[i]));
}
instance.setDataset(instances);
return instance;
}
}
----
We got an accuracy of 96.529% with this code which is 0.2% higher than we managed with the Mahout Random forest without any boosting. The https://github.com/jennifersmith/machinenursery/blob/master/src/main/java/WekaPlaybox.java[full code for this solution is on github] as always!
We still haven't managed to get an accuracy higher than the default solution provided by Kaggle so any suggestions about what else to try are welcome!
We've been playing around with neural networks using http://www.heatonresearch.com/encog[encog] but they seem a bit magical and the moment and it's difficult to work out why they don't work when you don't get the result you expect! | null | null | [
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] | kaggle-digit-recognizer-weka-adaboost-attempt | https://markhneedham.com/blog/2012/11/29/kaggle-digit-recognizer-weka-adaboost-attempt |
false | 2012-11-28 06:03:55 | Jersey: com.sun.jersey.api.client.ClientHandlerException: A message body reader for Java class [...] and MIME media type application/json was not found | [
"java",
"jersey"
] | [
"Java"
] | We've used the http://jersey.java.net/[Jersey] library on the last couple of Java based applications that I've worked on and one thing we've done on both of them is write services that communicate with each other using JSON.
On both occasions we didn't quite setup the Jersey client correctly and ended up with an error along these lines when making a call to an end point:
[source,java]
----
com.sun.jersey.api.client.ClientHandlerException: A message body reader for Java class java.util.ArrayList, and Java type java.util.ArrayList<com.blah.Message>, and MIME media type application/json was not found
! at com.sun.jersey.api.client.ClientResponse.getEntity(ClientResponse.java:561)
! at com.sun.jersey.api.client.ClientResponse.getEntity(ClientResponse.java:535)
! at com.sun.jersey.api.client.WebResource.handle(WebResource.java:696)
! at com.sun.jersey.api.client.WebResource.access$300(WebResource.java:74)
! at com.sun.jersey.api.client.WebResource$Builder.get(WebResource.java:512)
...
! at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
! at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
! at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
! at java.lang.reflect.Method.invoke(Method.java:601)
! at com.sun.jersey.spi.container.JavaMethodInvokerFactory$1.invoke(JavaMethodInvokerFactory.java:60)
! at com.sun.jersey.server.impl.model.method.dispatch.AbstractResourceMethodDispatchProvider$TypeOutInvoker._dispatch(AbstractResourceMethodDispatchProvider.java:185)
! at com.sun.jersey.server.impl.model.method.dispatch.ResourceJavaMethodDispatcher.dispatch(ResourceJavaMethodDispatcher.java:75)
! at com.yammer.metrics.jersey.InstrumentedResourceMethodDispatchProvider$TimedRequestDispatcher.dispatch(InstrumentedResourceMethodDispatchProvider.java:34)
! at com.sun.jersey.server.impl.uri.rules.HttpMethodRule.accept(HttpMethodRule.java:302)
! at com.sun.jersey.server.impl.uri.rules.RightHandPathRule.accept(RightHandPathRule.java:147)
! at com.sun.jersey.server.impl.uri.rules.ResourceObjectRule.accept(ResourceObjectRule.java:100)
! at com.sun.jersey.server.impl.uri.rules.RightHandPathRule.accept(RightHandPathRule.java:147)
! at com.sun.jersey.server.impl.uri.rules.RootResourceClassesRule.accept(RootResourceClassesR
----
To get around this problem we need to make sure we've added the 'JacksonJsonProvider' to the Jersey client config like so:
[source,java]
----
DefaultClientConfig defaultClientConfig = new DefaultClientConfig();
defaultClientConfig.getClasses().add(JacksonJsonProvider.class);
Client client = Client.create(defaultClientConfig);
----
I'm pretty sure that's documented somewhere in the depths of the Jersey wiki but since we've now ended up debugging this problem twice I thought it was worth writing down! | null | null | [
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] | jersey-com-sun-jersey-api-client-clienthandlerexception-a-message-body-reader-for-java-class-and-mime-media-type-applicationjson-was-not-found | https://markhneedham.com/blog/2012/11/28/jersey-com-sun-jersey-api-client-clienthandlerexception-a-message-body-reader-for-java-class-and-mime-media-type-applicationjson-was-not-found |
false | 2012-11-28 08:11:04 | Micro Services: The curse of code 'duplication' | [
"software-development"
] | [
"Micro Services"
] | A common approach we've been taking on some of the applications I've worked on recently is to decompose the system we're building into smaller http://2012.33degree.org/talk/show/67[micro services] which are independently deployable and communicate with each other over HTTP.
An advantage of decomposing systems like that is that we could have separate teams working on each service and then make use of a http://martinfowler.com/articles/consumerDrivenContracts.html[consumer driven contract] as a way of ensuring the contract between them is correct.
Often what actually happens is that we have one team working on all of the services which can lead to the a mentality where we treat start treating the comunication between services as if it's happening in process.
One of the earliest lessons I learnt when writing code is that you should http://en.wikipedia.org/wiki/Don't_repeat_yourself[avoid repeating yourself] in code - if you have two identical bits of code then look to extract that into a method somewhere and then call it from both locations.
This lesson often ends up getting applied across micro service boundaries when we have the same team working on both sides.
For example if we have a customer that we're sending between two services then in Java land we might create a +++<cite>+++CustomerDTO+++</cite>+++ in both services to marshall JSON to/from the wire.
We now have two versions of the 'same' object although that isn't necessarily the case because the client might not actually care about some of the fields that get sent because its definition of a customer is different than the provider's.
Nevertheless if we're used to being able to working with tools like http://www.jetbrains.com/idea/[IntelliJ] which let us make a change and see it reflected everywhere we'll end up driving towards a design where the +++<cite>+++CustomerDTO+++</cite>+++ is shared between the services.
This can be done via a JAR dependency or using something like http://git-scm.com/book/en/Git-Tools-Submodules[git sub modules] but in both cases we've now coupled the two services on their shared message format.
I think the 'duplication' thing might be less of an issue if you're using a language like Clojure where you could work with maps/lists without transforming them into objects but I haven't built anything web related with Clojure so I'm not sure.
As I understand it when we go down the micro services route we're trading off the ease of working with everything in one process/solution for the benefits of being able to deploy, scale and maintain parts of it independently.
Perhaps the problem I've described is just about getting used to this trade off rather than holding onto the idea that we can still treat it as a single application.
I'd be curious to hear others' experiences but I've seen this same pattern happen two or three times so I imagine it may well be common. | null | null | [
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] | micro-services-the-curse-of-code-duplication | https://markhneedham.com/blog/2012/11/28/micro-services-the-curse-of-code-duplication |
false | 2012-11-17 16:56:28 | Buy vs Build: Driving from the problem | [
"software-development"
] | [
"Software Development"
] | My colleague https://twitter.com/erikdoe[Erik Doernenburg] has written a couple of articles recently discussing the reasons http://erik.doernenburg.com/2012/09/buy-vs-build-shift-part-1/[why people buy] and http://erik.doernenburg.com/2012/11/buy-vs-build-shift-part-2-and-3/[build IT solutions] and one part in particular resonated with me:
____
it is also possible, and not uncommon, that the software package does not do exactly what the business needs, leading to decreased productivity and lost opportunities.
____
I feel like there's a mindset change once you start thinking which package you could buy to solve your problem whereby *you stop solving the problem you actually have and focus instead on what features the package offers*.
Package software almost by definition tends to be written for a generic case of a problem and as Erik points out might not solve the problem that a business has. In addition it will probably solve problems which they don't have.
This leads to a tendency to believe that the alternative to buying a package is to match that package feature for feature with a custom built solution.
If you look at things from that perspective it's easy to see why buying would be preferred since the build approach is going to cost at least as much and you'd have to wait for it to be built as opposed to having it straight away.
However, when you start from the mindset of solving the problem in front of you - which is the mindset that building something leads you towards - then *you may actually find that you can get away with a much simpler implementation than previously seemed possible*.
By making use of prioritised iterative delivery we can then ensure that the most important/highest priority features are built first and if at any stage it doesn't make sense to build the next feature you can stop.
I'm curious whether there's some middle ground where you could still drive your solution from the problem and then pick and choose buy/build wherever it made sense.
We do actually take a variation of that approach in most applications I've worked on where we make use of open source libraries rather than writing everything from scratch.
In order for that approach to work with package software the package would need to be written more as a library that solves a specific problem rather than a framework which you need to use to solve every possible problem you have.
I don't really have a good conclusion to this but Erik covers this point and more in his http://erik.doernenburg.com/2012/09/buy-vs-build-shift-part-1/[two] http://erik.doernenburg.com/2012/11/buy-vs-build-shift-part-2-and-3/[posts] so go and read those if you find it interesting! | null | null | [
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] | buy-vs-build-driving-from-the-problem | https://markhneedham.com/blog/2012/11/17/buy-vs-build-driving-from-the-problem |
false | 2012-11-10 16:30:48 | Unix: Counting the number of commas on a line | [
"unix"
] | [
"Shell Scripting"
] | A few weeks ago I was playing around with some data stored in a CSV file and wanted to do a simple check on the quality of the data by making sure that http://unix.stackexchange.com/questions/18736/how-to-count-the-number-of-a-specific-character-in-each-line[each line had the same number of fields].
One way this can be done is with +++<cite>+++awk+++</cite>+++:
[source,text]
----
awk -F "," ' { print NF-1 } ' file.csv
----
Here we're specifying the file separator +++<cite>+++-F+++</cite>+++ as ',' and then using the +++<cite>+++NF+++</cite>+++ (number of fields) variable to print how many commas there are on the line.
Another slightly more complicated way is to combine +++<cite>+++tr+++</cite>+++ and +++<cite>+++awk+++</cite>+++ like so:
[source,text]
----
tr -d -c ",\n" < file.csv | awk ' { print length } '
----
Here we're telling +++<cite>+++tr+++</cite>+++ to delete any characters except for a comma or new line.
If we pass just a comma to the '-d' option like so...
[source,text]
----
tr -d "," < file.csv
----
...that would delete all the commas from a line but we can use the '-c' option to complement the comma i.e. delete everything except for the comma.
[source,text]
----
tr -d -c "," < file.csv
----
Unfortunately that puts all the commas onto the same line so we need to complement the new line character as well:
[source,text]
----
tr -d -c ",\n" < file.csv
----
We can then use the +++<cite>+++length+++</cite>+++ variable of awk to print out the number of commas on each line.
We can achieve the same thing by making use of +++<cite>+++sed+++</cite>+++ instead of +++<cite>+++tr+++</cite>+++ like so:
[source,text]
----
sed 's/[^,]//g' file.csv | awk ' { print length } '
----
Since sed operates on a line by line basis we just need to tell it to substitute anything which isn't a comma with nothing and then pipe the output of that into awk and use the +++<cite>+++length+++</cite>+++ variable again.
I thought it might be possible to solve this problem using +++<cite>+++cut+++</cite>+++ as well but I can't see any way to get it to output the total number of fields.
If anyone knows any other cool ways to do the same thing let me know in the comments - it's always interesting to see how different people wield the unix tools! | null | null | [
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false | 2012-11-19 08:50:07 | Incremental/iterative development: Breaking down work | [
"software-development"
] | [
"Software Development"
] | Over the past couple of years I've worked on several different applications and one thing they had in common was that they had a huge feature which would take a few months to complete and initially seemed difficult to break down.
Since we favoured an incremental/iterative approach to building these features and wanted to add value in short feedback cycles we needed to find a way to break them down.
I thought I'd record the ways that we came up with for doing that.
== Complexity of markup
On one of the projects that I worked we were building a publishing platform and needed to publish some documents which had varying degrees of complexity in their XML markup.
Trying to get all the combinations of markup working at once was a non starter - there were way too many different ways that a document could be marked up just from a quick glance. We would later also find other ways that we didn't know about at the start.
Instead we decided to start with the simplest markup and then as part of our data ingestion process we excluded any documents which had too much complexity through a sequence of rules.
We slowly relaxed those rules as we played the stories to introduce the more complex markup until eventually we'd imported and were showing all of the documents.
== Simplicity of rules
On another project we were writing a pricing engine which needed to come up with prices for connecting a network between various locations that a customer could specify.
The end goal was that you'd be able to price a network regardless of which locations the customer suggested but we realised early on that there were some very different rules for pricing the USA compared to the rest of the world.
Since the rules for the USA were a bit more complicated and we didn't understand them as well as the other rules we were able to first get our algorithm working for the rest of the world and then move onto the USA.
On another project we needed to work out the shipping costs and the calculation differed in complexity depending on where you were in the country so we started with the simple areas first and built on that!
== Dependency Chain
On my most recent project we needed to do the initial release of all our applications into the production environment but there were quite a few moving parts involved in doing that.
To break this problem down we wrote each application on a card, stuck them all up on the wall and worked out the dependencies between them.
We first focused on deploying the ones which had no dependencies and then worked out from there.
== Workflow
A couple of years ago I worked on an insurance application where we were building an application which would be used by sales representatives when renewing a customer's home insurance.
It was based around a workflow that the client wanted the sales representatives to follow whereby they could over the customer varying incentives to renew which increased in actual value as you went down the work flow.
There were various calculations at each stage which were somewhat inter-mingled but the approach that made most sense here was to drive out the solution starting with the early parts of the workflow and continuing from there.
We had to do a little bit of rework of existing calculations as we added a new step to the application but in general it seemed to work reasonably well.
I'm sure there are other ways of breaking down work but this is how we did it - I'd be interested in learning any other tricks/techniques people have for figuring out how to do this. | null | null | [
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] | incrementaliterative-development-breaking-down-work | https://markhneedham.com/blog/2012/11/19/incrementaliterative-development-breaking-down-work |
false | 2012-11-19 13:31:49 | Learning: Switching between theory and practice | [
"learning"
] | [
"Learning",
"Machine Learning"
] | In one of my first ever blog posts I wrote about the differences I'd experienced http://www.markhneedham.com/blog/2008/02/09/learning-theory-first/[in learning the theory about a topic and then seeing it in practice].
The way I remember learning at school and university was that you learn all the theory first and then put it into practice but I typically don't find myself doing this whenever I learn something new.
I spent a bit of time over the weekend learning more about neural networks as my colleague https://twitter.com/jennifersmithco[Jen Smith] suggested https://twitter.com/JenniferSmithCo/status/269167128672890880[this might be a more effective technique for getting a higher accuracy score] on the http://www.kaggle.com/c/digit-recognizer[Kaggle Digit Recogniser] problem.
I first came across neural networks during https://www.coursera.org/course/ml[Machine Learning Class] about a year ago but I didn't put any of that knowledge into practice and as a result it's mostly been forgotten so my first step was to go back and watch the videos again.
Having got a high level understanding of how they work I thought I'd try and find a Neural Networks implementation in http://mahout.apache.org/[Mahout] since Jen and I have been hacking with that so I have a reasonable level of familiarity with it.
I could only find people talking about writing an implementation rather than any suggestion that there was one so I turned to google and came across https://github.com/nickewing/netz[netz] - a Clojure implementation of neural networks.
On its project page there were links to several 'production ready' Java frameworks for building neural networks including http://neuroph.sourceforge.net/documentation.html[neuroph], http://www.heatonresearch.com/encog[encog] and http://leenissen.dk/fann/wp/[FANN].
I spent a few hours playing around with some of the encog examples and trying to see whether or not we'd be able to plug the Digit Recogniser problem into it.
To refresh, the digit recogniser problem is a *multi class classification problem* where we train a classifier with series of 784 pixel brightness values where we know which digit they refer to.
We should then be able to feed it any new set of 784 pixel brightness values and it will tell us which digit that is most likely to be.
I realised that the https://github.com/mneedham/encog-examples-3.1.0/blob/master/src/main/java/org/encog/examples/neural/gui/ocr/OCR.java[OCR encog example] wouldn't quite work because it assumed that you'd only have one training example for each class!
____
https://github.com/encog/encog-java-core/blob/master/src/main/java/org/encog/neural/som/training/clustercopy/SOMClusterCopyTraining.java[SOMClusterCopyTraining.java] * For now, this trainer will only work if you have equal or fewer training elements * to the number of output neurons.
____
I was pretty sure that I didn't want to have 40,000 output neurons but I thought I better switch back to theory and make sure I understood how neural networks were supposed to work by reading the slides from an http://www2.econ.iastate.edu/tesfatsi/NeuralNetworks.CheungCannonNotes.pdf[introductory talk].
Now that I've read those I'm ready to go back into the practical side again and try and build up a network a bit more manually than I imagined the previous time by using the https://github.com/encog/encog-java-core/blob/master/src/main/java/org/encog/neural/networks/BasicNetwork.java[BasicNetwork] class.
I'm sure as I do that I'll have to switch back to theory again and read a bit more, then code a bit more and so the cycle goes on! | null | null | [
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] | learning-switching-between-theory-and-practice | https://markhneedham.com/blog/2012/11/19/learning-switching-between-theory-and-practice |
false | 2012-11-26 04:28:22 | IntelliJ Debug Mode: Viewing beyond 100 frames/items in an array | [
"software-development",
"intellij"
] | [
"Software Development"
] | In my continued attempts at the link:[Kaggle Digit Recognizer] problem I've been playing around with the http://www.heatonresearch.com/wiki/Encog_Java_Examples[encog] library to try and build a neural networks solution to the problem.
Unfortunately it's not quite working at the moment so I wanted to debug the code and see whether the input parameters were being correctly translated from the CSV file.
Each input is an array containing 784 values but by default IntelliJ restricts you to seeing 100 elements which wasn't helpful in my case since the early values tend to all be 0 and it's not until you get half way through that you see different values:
image::{{<siteurl>}}/uploads/2012/11/100limit.jpg[100limit,171]
It's http://blogs.jetbrains.com/idea/2011/09/debugger-working-with-sub-ranges-for-arrays-and-lists/[actually relatively easy] to see the other values by right clicking on the array in question and clicking 'Adjust Range':
image::{{<siteurl>}}/uploads/2012/11/Screen-shot-2012-11-25-at-22.59.42.jpeg[Screen shot 2012 11 25 at 22 59 42,307]
Then I type in the end index of the array and we're done!
image::{{<siteurl>}}/uploads/2012/11/Screen-shot-2012-11-25-at-23.00.44.jpeg[Screen shot 2012 11 25 at 23 00 44,388] | null | null | [
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] | intellij-debug-mode-viewing-beyond-100-framesitems-in-an-array | https://markhneedham.com/blog/2012/11/26/intellij-debug-mode-viewing-beyond-100-framesitems-in-an-array |
false | 2012-11-21 19:42:15 | Looking inside the black box | [
"software-development"
] | [
"Software Development"
] | I recently came across a http://angeleah.com/blog/2012/11/02/black-box-abstraction.html[really interesting post about black box abstraction] by Angeleah where she talks about developers desire to know how things work and the need to understand when and when not to follow that instinct.
Angeleah defines black box abstraction like so:
____
It is a technique for controlling complexity and abstracting detail. The point of doing this is to allow you to to build bigger things. Hopefully bigger boxes. This is done all the time in methods or functions, in gems, in frameworks.
____
We have to be particularly careful about knowing how far to look inside the black box when working with new systems that we know nothing about.
About a year ago my colleague http://www.linkedin.com/pub/alex-harin/13/40b/716[Alex Harin] and I were looking through the code of a pricing engine of one of our clients and our goal was to try and work out how we'd be able to wire in a replacement for some parts of it.
In Michael Feathers' terminology we were looking for the http://www.markhneedham.com/blog/2009/06/21/seams-some-thoughts/[application's seams].
We knew that configurations weren't being priced in real time because we'd watched a training video explaining that. We were therefore led to believe that the application had some mechanism for queuing up configurations and then pricing them.
We worked out an entry point into the application and then started drilling down to figure out how exactly this was being done.
After a little bit of time it became clear that when Alex was driving we were starting to understand how the application was designed and when I was driving we were going down a lot of black holes.
When I asked him to explain to me what he was doing he explained that he was http://www.markhneedham.com/blog/2011/12/29/reading-code-know-what-youre-looking-for/[pattern matching the code against application design patterns that he'd seen previously] and was therefore quickly able to rule out bits of code that were irrelevant.
This is a skill which obviously improves with experience but it's still something to keep in mind even if you've only programmed for a few years as you are bound to have come across a range of different designs either at work or in open source software - knowledge which can be used when looking at new systems.
In Angeleah's post she suggests the following technique to work out when we're going down the rabbit hole which seems very sensible:
____
you should ask yourself to what level you need to know that information and if knowing it at this point in time will truly help you with what you are working on.
____
I think it's especially difficult to know the answer to this question when you're less experienced and I'm certain that I spent much more time going down black box dead ends a few years ago than now.
If you *can't remember why you're in a specific bit of code anymore* then it's a good sign that you've strayed off the path and would be better off stepping a few levels up the stack to check whether the current black box expedition is worthwhile.
Having said that, when you do decide you want to go and look inside the black box I find that while it's important to keep the big picture in mind *sometimes it is necessary to carefully read each line of code rather than skimming over it*.
This is something that http://twitter.com/jennifersmithco[Jen] and I have found particularly true when looking at the implementations of machine learning algorithms in http://mahout.apache.org/[Mahout]. In that case we've been switching between the code and a textual description of what the algorithm is actually supposed to do to check our understanding.
Looking back at this post I realise that while there are a couple of techniques here that can help us to reflect on what we're doing it does seem to be one of those areas of software development that is based on gut feel more than anything else. | null | null | [
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] | looking-inside-the-black-box | https://markhneedham.com/blog/2012/11/21/looking-inside-the-black-box |
false | 2012-11-30 16:56:16 | There's No such thing as a 'DevOps Team': Some thoughts | [
"devops-2"
] | [
"DevOps"
] | A few weeks ago http://jezhumble.net/[Jez Humble] wrote a blog post titled "http://continuousdelivery.com/2012/10/theres-no-such-thing-as-a-devops-team/[There's no such thing as a 'DevOps team']" where he explains what DevOps is actually supposed to be about and describes a model of how developers and operations folk can work together.
Jez's suggestion is for developers to take responsibility for the systems they create but he notes that:
____
[\...] they need support from operations to understand how to build reliable software that can be continuous deployed to an unreliable platform that scales horizontally. They need to be able to self-service environments and deployments. They need to understand how to write testable, maintainable code. They need to know how to do packaging, deployment, and post-deployment support.
____
His suggestions sound reasonably similar to the way https://dl.dropbox.com/u/1018963/Articles/SpotifyScaling.pdf[Spotify have their teams setup] whereby product teams own their product from idea to production but can get help from an operations team to make this happen.
____
At Spotify there is a separate operations team, but their job is not to make releases for the squads - their job is to give the squads the support they need to release code themselves; support in the form of infrastructure, scripts, and routines. They are, in a sense, "`building the road to production`".
It's an informal but effective collaboration, based on face-to-face communication rather than detailed process documentation.
____
On a few of projects that I've worked on in the last 18 months or so we've tried to roughly replicate this model but there are a few challenges in doing so.
== Silo Mentality
In a number of the organisations that I've worked at there is a mentality that people should only take responsibility for 'their bit' which in this case means developers code the application and operations deploy it.
This manifests itself when you hear comments such as "it must be an application problem" when something isn't working rather than working together to solve the problem.
There's also a more subtle version of this when we get into the belief that developers are only responsible for putting points on the board therefore they shouldn't spend time doing operations-y work.
== Release Pressure
Even if we've got beyond the idea that people should only be responsible for their silo and have operations and developers working closely together it can still end up reverting back to type when people are under pressure.
When a big release is coming up there'll often be a push to ensure that the expected features have been completed and this leads us back towards the silo mentality, at least temporarily.
Presumably with a more frequent release schedule this becomes less of an issue but I haven't worked for long enough in that way to say for sure.
== Security Concerns
In some environments there is often quite tight security around who is allowed to push into production and this would typically be folks in the operations team.
Obviously this means that the product team can't actually push their own changes unless they arrange to work together with one of the operations folks to do so.
We still don't have the 'throw it over the wall' mentality in this setup but it does create more of a bottle neck in the system than we'd have otherwise.
== In Summary
These are just some of the obstacles that I've seen that can get in the way of our optimal setup.
I'm sure there are others that I haven't come across yet but the nice thing is that two of these are more a mindset thing than anything else so that can be fixed over time. | null | null | [
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] | theres-no-such-thing-as-a-devops-team-some-thoughts | https://markhneedham.com/blog/2012/11/30/theres-no-such-thing-as-a-devops-team-some-thoughts |
false | 2012-11-06 12:42:36 | Clojure: Thread last (->>) vs Thread first (\->) | [
"clojure"
] | [
"Clojure"
] | In many of the Clojure examples that I've come across the http://clojuredocs.org/clojure_core/clojure.core/-%3E%3E[thread last (->>)] macro is used to make it easier (for people from a non lispy background!) to see the transformations that the initial data structure is going through.
In one of my recent posts I showed how http://www.markhneedham.com/blog/2012/10/30/clojure-mahouts-entropy-function/[Jen & I had rewritten Mahout's entropy function in Clojure]:
[source,lisp]
----
(defn calculate-entropy [counts data-size]
(->> counts
(remove #{0})
(map (partial individual-entropy data-size))
(reduce +)))
----
Here we are using the thread last operator to first pass +++<cite>+++counts+++</cite>+++ as the last argument of the +++<cite>+++remove+++</cite>+++ function on the next line, then to pass the result of that to the +++<cite>+++map+++</cite>+++ function on the next line and so on.
The function expands out like this:
[source,lisp]
----
(remove #{0} counts)
----
[source,lisp]
----
(map (partial individual-entropy data-size) (remove #{0} counts))
----
[source,lisp]
----
(reduce + (map (partial individual-entropy data-size) (remove #{0} counts)))
----
We can also use +++<cite>+++clojure.walk/macroexpand-all+++</cite>+++ to see the expanded form of this function:
[source,lisp]
----
user> (use 'clojure.walk)
user> (macroexpand-all '(->> counts
(remove #{0})
(map (partial individual-entropy data-size))
(reduce +)))
(reduce + (map (partial individual-entropy data-size) (remove #{0} counts)))
----
I recently came across the http://clojuredocs.org/clojure_core/clojure.core/-%3E[thread first (\->)] macro while http://blog.jayfields.com/2012/09/clojure-refactoring-from-thread-last-to.html[reading one of Jay Fields' blog posts] and thought I'd have a play around with it.
The thread first (\->) macro is similar but it passes its first argument as the first argument to the next form, then passes the result of that as the first argument to the next form and so on.
It's pointless to convert this function to use +++<cite>+++\->+++</cite>+++ because all the functions take the previous result as their last argument but just in case we wanted to the equivalent function would look like this:
[source,lisp]
----
(defn calculate-entropy [counts data-size]
(-> counts
(->> (remove #{0}))
(->> (map (partial individual-entropy data-size)))
(->> (reduce +))))
----
As you can see we end up using ->> to pass +++<cite>+++counts+++</cite>+++ as the last argument to +++<cite>+++remove+++</cite>+++, then +++<cite>+++map+++</cite>+++ and then +++<cite>+++reduce+++</cite>+++.
The function would expand out like this:
[source,lisp]
----
(->> counts (remove #{0}))
----
[source,lisp]
----
(->> (->> counts (remove #{0})) (map (partial individual-entropy data-size)))
----
[source,lisp]
----
(->> (->> (->> counts (remove #{0})) (map (partial individual-entropy data-size))) (reduce +))
----
If we then evaluate the +++<cite>+++->>+++</cite>+++ macro we end up with the nested form:
[source,lisp]
----
(->> (->> (remove #{0} counts) (map (partial individual-entropy data-size))) (reduce +))
----
[source,lisp]
----
(->> (map (partial individual-entropy data-size) (remove #{0} counts)) (reduce +))
----
[source,lisp]
----
(reduce + (map (partial individual-entropy data-size) (remove #{0} counts)))
----
I haven't written enough Clojure to come across a real use for the thread first macro but Jay has http://blog.jayfields.com/2012/09/clojure-refactoring-from-thread-last-to.html[an example on his blog showing how he refactored some code which was initially using the thread last macro to use thread first instead]. | null | null | [
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] | clojure-thread-last-vs-thread-first | https://markhneedham.com/blog/2012/11/06/clojure-thread-last-vs-thread-first |
false | 2012-11-24 08:49:28 | Java: java.lang.UnsupportedClassVersionError - Unsupported major.minor version 51.0 | [
"java"
] | [
"Java"
] | On my current project we've spent the last day or so setting up an environment where we can deploy a couple of micro services to.
Although the machines are Windows based we're deploying the application onto a http://vagrantup.com/[vagrant] managed VM since the production environment will be a flavour of Linux.
Initially I was getting quite confused about whether or not we were in the VM or not and ended up with this error when trying to run the compiled JAR:
[source,text]
----
Exception in thread "main" java.lang.UnsupportedClassVersionError: com/whatever/SomeService : Unsupported major.minor version 51.0
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClassCond(Unknown Source)
at java.lang.ClassLoader.defineClass(Unknown Source)
at java.security.SecureClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.defineClass(Unknown Source)
at java.net.URLClassLoader.access$000(Unknown Source)
at java.net.URLClassLoader$1.run(Unknown Source)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
Could not find the main class: com/whatever/SomeService. Program will exit.
----
These error means that you http://stackoverflow.com/questions/11239086/java-lang-unsupportedclassversionerror-unsupported-major-minor-version-51-0[compiled the code with a higher JDK than the one you're now trying to run it against].
Since I was accidentally trying to run the JAR against our Windows environment's 1.6 JDK rather than the VM's 1.7 JDK this is exactly what I was doing!
Muppet! | null | null | [
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] | java-java-lang-unsupportedclassversionerror-unsupported-major-minor-version-51-0 | https://markhneedham.com/blog/2012/11/24/java-java-lang-unsupportedclassversionerror-unsupported-major-minor-version-51-0 |
false | 2012-11-24 12:44:03 | Core Competency | [
"software-development"
] | [
"Software Development"
] | For at least the last few years I've heard colleagues talk about working out the core competency of our clients businesses and I'd confused myself into thinking that the software we helped them build was the core competency.
I think Martin Fowler best explains how technology and business core competences work in his post about http://martinfowler.com/bliki/UtilityVsStrategicDichotomy.html[utility and strategic projects] where he describes the difference between these like so:
____
So what is the distinguishing factor between utility and strategic projects? To my mind it's all about whether the underlying business function is a differentiator or not. *If how you do this function is a crucial part of what makes you better than the competition, then the software that supports this function needs to be as good as you can make it*. Note that this distinction isn't about the software, but the business function.
____
The thing I'd be getting confused about was thinking that the software *is* the core competency but as Martin points out the software is actually there to *support* the core competency.
I thought it'd be interesting to think through some of the most recent things I've worked on and think through how software was helping support their core competencies.
== Publishing houses
As I see it their core competency is being able to get content that their customers will want to buy in the form of articles, journals and books and each publisher tends to focus on doing that for specific industries.
As the internet becomes a more popular channel for serving content the publishing houses have had to make their content accessible online rather than relying on offline channels.
One way software can help here is by making it possible for their customers to quickly find and download the content that they're interested in.
When you break that down further you'd end up thinking about how we can write software which makes it possible to get new content in front of customers quickly.
We might also start thinking of ways we can get customers interested in content that they didn't initially think would be interesting to them, which might involve some analysis of our data to build a http://www.quantisan.com/recommendation-discovery-via-graph-traversal/[recommendations engine].
== Telecommunications companies
Telecommunications companies tend to be massive organisations so I wouldn't claim that I know all their different core competencies.
For the part I worked in I'd say their core competency was being able to offer competitive prices to global customers who wanted to buy various products to allow their staff in different locations communicate with each other.
The way software could help in this instance was by making it possible for the telco's sales people to quickly and easily get a range of different options accurately priced for their customers.
This involved calculating thousands of variations of network combinations and then narrowing those down to the options which were best value for the customer.
In this case a non performant software solution would actually make life worse for the sales people because they'd have to find a way to manually get the quotes they needed rather than relying on the software.
== Retailers
Although again retailers have many key differentiators I think one of them is the ability to set the prices of their products so that people will buy them but also so they won't lose money.
The way software can help in this instance would be in codifying the logic that the people who are setting the prices have in their heads.
Obviously there will still be some part of setting prices which is gut feel/intuitive but a reasonable amount is going to be a person following some sort of http://en.wikipedia.org/wiki/Decision_tree[decision tree] in their head.
There are a lot of commercial packages for this type of thing since it's a fairly common problem but if you use of those then you're giving away one of your differentiators since your competition may well be using a package as well.
== In Summary
I'm still trying to understand exactly how this core competency thing works so if I haven't quite understood it please feel free to let me know.
I think my colleague Erik Doernenburg has a slightly different take on this where he considers whether http://erik.doernenburg.com/2012/09/buy-vs-build-shift-part-1/[software development as a concept is a core competency] and explains how for publishing companies it now needs to be one. | null | null | [
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] | core-competency | https://markhneedham.com/blog/2012/11/24/core-competency |
false | 2012-11-24 09:04:17 | Windows line endings: Exception in thread 'main' java.io.FileNotFoundException /opt/app/config.yml{caret}M (no such file or directory) | [
"software-development"
] | [
"Software Development"
] | As I http://www.markhneedham.com/blog/2012/11/24/java-java-lang-unsupportedclassversionerror-unsupported-major-minor-version-51-0/[mentioned in my previous post] we've been making it possible to deploy our application to a new environment and as part of this we defined an http://upstart.ubuntu.com/[upstart] script which would run the JAR.
We tend to edit code on Windows and then test it out on the vagrant VM afterwards.
The end of our upstart script looked a bit like this:
[source,text]
----
script
cd /opt/app
java -jar /opt/app/app.jar /opt/app/config.yml
end script
----
Unfortunately when we tried to launch the application using 'start app' we got this error:
[source,text]
----
Exception in thread "main" java.io.FileNotFoundException /opt/app/config.yml^M (no such file or directory)
----
We were trying to load the configuration file in the program which was failing because of the Windows line ending just after the file name. That was being read in as part of our config file name argument.
I tried change the upstart script to have the name in quotes (which in hindsight makes no sense) but that made no difference but eventually I realised we could http://sourceforge.net/p/notepad-plus/discussion/331754/thread/ac70ed25[make the file have UNIX line endings] and solve our problem.
Using notepad++:
[source,text]
----
Edit > EOL Conversions > Unix Format
----
And all was well with the world. | null | null | [
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] | windows-line-endings-exception-in-thread-main-java-io-filenotfoundexception-optappconfig-ymlm-no-such-file-or-directory | https://markhneedham.com/blog/2012/11/24/windows-line-endings-exception-in-thread-main-java-io-filenotfoundexception-optappconfig-ymlm-no-such-file-or-directory |
false | 2012-11-24 19:43:32 | A first failed attempt at Natural Language Processing | [
"machine-learning-2"
] | [
"Machine Learning"
] | One of the things I find fascinating about dating websites is that the profiles of people are almost identical so I thought it would be an interesting exercise to grab some of the free text that people write about themselves and prove the similarity.
I'd been talking to https://twitter.com/mattb[Matt Biddulph] about some Natural Language Processing (NLP) stuff he'd been working on and he wrote up a https://gist.github.com/3888345[bunch of libraries, articles and books that he'd found useful].
I started out by plugging the text into one of the many NLP libraries that Matt listed with the vague idea that it would come back with something useful.
I'm not sure exactly what I was expecting the result to be but after 5/6 hours of playing around with different libraries I'd got nowhere and parked the problem not really knowing where I'd gone wrong.
Last week I came across a paper titled "http://people.cs.umass.edu/~brun/pubs/pubs/Kiddon11.pdf[That's What She Said: Double Entendre Identification]" whose authors wanted to work out when a sentence could legitimately be followed by the phrase "that's what she said".
While the subject matter is a bit risque I found that reading about the way the authors went about solving their problem was very interesting and it allowed me to see some mistakes I'd made.
== Vague problem statement
Unfortunately I didn't do a good job of working out exactly what problem I wanted to solve - my problem statement was too general.
In the paper the authors narrowed down their problem space by focusing on a specific set of words which are typically used as double entendres and then worked out the sentence structure that the targeted sentences were likely to have.
Instead of defining my problem more specifically I plugged the text into http://mallet.cs.umass.edu/topics-devel.php[Mallet], http://mvnrepository.com/artifact/edu.washington.cs.knowitall/morpha-stemmer[morpha-stemmer] and https://github.com/louismullie/stanford-core-nlp[Stanford Core NLP] and tried to cluster the most popular words.
That didn't really work because people use slightly different words to describe the same thing so I ended up looking at http://www.yawni.org/wiki/Main/WhatsWordNet[Yawni] - a wrapper around http://wordnet.princeton.edu/[WordNet] which groups sets of words into cognitive synonyms.
In hindsight a more successful approach might have been to find the common words that people tend to use in these types of profiles and then work from there.
== No Theory
I recently wrote about how I've been http://www.markhneedham.com/blog/2012/11/19/learning-switching-between-theory-and-practice/[learning about neural networks by switching in between theory and practice] but with NLP I didn't bother reading any of the theory and thought I could get away with plugging some data into one of the libraries.
I now realise that was a mistake as I didn't know what to do when the libraries didn't work as I'd hoped because I wasn't sure what they were supposed to be doing in the first place!
My next step should probably be to understand http://en.wikipedia.org/wiki/Vector_space_model[how text gets converted into vectors], then move onto http://en.wikipedia.org/wiki/Tf%E2%80%93idf[tf-idf] and see if I have a better idea of how to solve my problem. | null | null | [
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] | a-first-failed-attempt-at-natural-language-processing | https://markhneedham.com/blog/2012/11/24/a-first-failed-attempt-at-natural-language-processing |
false | 2012-11-13 12:19:30 | Web Operations: Feature flags to turn off failing parts of infrastructure | [
"devops-2"
] | [
"DevOps"
] | On most of the projects I've worked on over the last couple of years we've made use of http://martinfowler.com/bliki/FeatureToggle.html[feature toggles] that we used to turn pending features on and off while they were still being built but while reading http://www.amazon.co.uk/Web-Operations-Keeping-Data-ebook/dp/B0043M4Z34/ref=sr_1_2?ie=UTF8&qid=1352804969&sr=8-2[Web Operations] I came across another usage.
In the chapter titled 'Dev and Ops Collaboration and Cooperation' https://twitter.com/ph[Paul Hammond] suggests the following:
____
Eventually some of your infrastructure will fail in an unexpected way. When that happens, you'll want the ability to disable just the features that rely on it, and keep the rest of the site running. Feature flags make this possible.
____
We'd mainly use this approach to disable peripheral functionality such as the ability to comment on a site whose main purpose is to deliver news.
From what I understand this means we'd permanently have if statements (or some equivalent) in the appropriate places in our code base which could be dynamically toggled if we start experiencing problems.
This differs slightly from the feature toggle approach we've used because those toggles would eventually be removed when the feature was running successfully in production.
Hammond goes on to suggest using feature flags for any external services that we rely on e.g. Flickr relies on the Yahoo address book, del.icio.us and last.fm but can gracefully disable that functionality if needs be.
He also points out that it's useful to think hard about what features are absolutely core to serving your site e.g. Flickr can disable photo uploads but still allow people to continue viewing photos.
Overall this sounds like a pretty neat idea and apart from the slight complexity of having the conditionals in the code I can't really think of any reasons why you wouldn't want to do it. Happy to hear opposing views though! | null | null | [
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] | web-operations-feature-flags-to-turn-off-failing-parts-of-infrastructure | https://markhneedham.com/blog/2012/11/13/web-operations-feature-flags-to-turn-off-failing-parts-of-infrastructure |
false | 2012-10-03 06:46:13 | Strata Conf London: Day 2 Wrap Up | [
"data-science-2",
"strataconf",
"bigdata"
] | [
"Data Science"
] | Yesterday I attended the second day of http://strataconf.com/strataeu/public/schedule/grid/public-grid/2012-10-02[Strata Conf London] and these are the some of the things I learned from the talks I attended:
* http://twitter.com/jgrahamc[John Graham Cunningham] opened the series of keynotes with a talk describing the problems British Rail had in 1955 when trying to calculate the distances between all train stations and comparing them to the problems we have today. British Rail were trying to solve a graph problem when people didn't know about graphs and *Dijkstra's algorithm hadn't been invented* and it was effectively invented on this project but never publicised. John's suggestion here was that we need to *share the stuff that we're doing so that people don't re-invent the wheel*. He then covered the ways they simplified the problem by dumping partial results to punch cards, partitioning the data & writing really tight code - all things we do today when working with data that's too big to fit in memory. Our one advantage is that we have lots of computers that we can get to do our work - something that wasn't the case in 1955. There is a book titled 'http://www.amazon.co.uk/Computer-Called-LEO-worlds-computer/dp/1841151866/ref=sr_1_1?ie=UTF8&qid=1349167393&sr=8-1[A Computer called LEO: Lyons Tea Shops and the world's first office computer]' which was recommended by one of the attendees and covers some of the things from the talk. The http://blog.jgc.org/2012/10/the-great-railway-caper-big-data-in-1955.html[talk is online] and worth a watch, he's pretty entertaining as well as informative!
* Next up was https://twitter.com/aallan[Alasdair Allan] who gave a talk showing some of the applications of different data sources that he's managed to hack together. For example he showed an application which keeps track of where his credit card is being used via his bank's transaction record and it sends those details to his phone and compares it to his current GPS coordinates. If they differ then the card is being used by someone else, and he was actually able to *detect fraudulent use of his card more quickly than his bank* on one occasion! He also got access to the data on an RFID chip of his hotel room swipe card and was able to chart the times at which people went into/came out of the room and make inferences about why some times were more popular than others. The final topic covered was how we leak our location too easily on social media platforms - he referenced a paper by some guys at the University of Rochester titled 'http://www.cs.rochester.edu/~sadilek/publications/Sadilek-Kautz-Bigham_Finding-Your-Friends-and-Following-Them-to-Where-You-Are_WSDM-12.pdf[Following your friends and following them to where you are]' in which the authors showed that it's quite easy to work out your location just by looking at where your friends currently are.
* http://www.badscience.net/[Ben Goldacre] did the last keynote in which he http://www.ted.com/talks/ben_goldacre_what_doctors_don_t_know_about_the_drugs_they_prescribe.html[covered similar ground as in his TED talk] about pharmaceuticals not releasing the results of failed trials. I didn't write down anything from the talk because it takes all your concentration to keep up with him but he's well worth watching if you get the chance!
* I attended a panel about how journalists use data and an interesting point was made about *being sceptical about data* and finding out how the data was actually collected rather than just trusting it. Another topic discussed was whether the open data movement might be harmed if people come up with misleading data visualisations - something which is very easy to do. If the data is released and people cause harm by making cause/effect claims that don't actually exist then people might be less inclined to make their data open in the first place. We were encouraged to think about where the gaps are in what's being reported. What isn't being reported but perhaps should be?
* The coolest thing I saw at Strata was the stuff that http://www.narrativescience.com/[Narrative Science] are doing - they have developed some software which is able to *take in a load of data and convert it into an article describing the data.* We were showing examples of this being done for football matches, company reports and even giving feedback on your performance in an exam and suggesting areas in which you need to focus your future study. http://www.wired.com/gadgetlab/2012/04/can-an-algorithm-write-a-better-news-story-than-a-human-reporter/all/[Wired had an article a few months ago where they interviewed Kristian Hammond], one of the co founders and the guy who gave this talk. I have no idea how they're doing what they're doing but it's very very clever!
* I'd heard about http://datasift.com/[DataSift] before coming to Strata - they are one of the few companies that has access to the twitter fire hose and have http://highscalability.com/blog/2011/11/29/datasift-architecture-realtime-datamining-at-120000-tweets-p.html[previously been written up on the High Scalability blog] - but I still wanted to see it in action! The talk was focused around five challenges DataSift have had:
** Digging through unstructured data volumes - they take tweets and convert them into 94 different files using some http://en.wikipedia.org/wiki/Natural_language_processing[NLP] wizardry. They use http://www.lexalytics.com/technical-info/salience-engine[Lexalytics Salience Engine] to help them do this.
** Filtering - separating the signal from the noise. http://blog.ouseful.info/2012/10/01/strataconf-dreamcatcher/[Popular hash tags end up getting massively spammed] so those tweets need to be excluded.
** Analysing - real time filtering and tagging of data. They use the http://www.cloudera.com/company/press-center/releases/cloudera-and-datasift-partner-to-deliver-big-data-insights-from-social-data/[cloudera Hadoop distribution].
** Variety - integrating data from different sources. e.g. showing the http://mashable.com/2012/05/19/facebook-ipo-twitter-prediction/[Facebook stock price vs the twitter sentiment analysis] of the company.
** Make it work 24/7
+
There was a very meta demo where the presenter showed DataSift's analysis of the +++<cite>+++strataconf+++</cite>+++ hash tag which suggested that 60% of tweets showed no emotion but 15% were extremely enthusiastic -'that must be the Americans'.
* I then went to watch another talk by Alasdair Allan - this time pairing with a colleague of his, http://twitter.com/zenamwood[Zena Wood], talking about the work they're doing at the University of Exeter. It mostly focused on tracking movement around the campus based on which wifi mast your mobile phone was currently closest to and allowed them to make some fascinating observations. e.g. Alasdair often took a different route out of the campus which was apparently because that route was more scenic. However, he would only take it if it was sunny! They discussed some of the questions they want to answer with the work they're doing such as:
** Do people go to lectures if they're on the other side of the campus?
** How does the campus develop? Are new buildings helping build the social network of students?
** Is there a way to stop freshers' flu from spreading?
* The last talk I went to was by http://twitter.com/thomaslevine[Thomas Levine] of https://scraperwiki.com/[ScraperWiki] talking about different tools he uses to clean up the data he's working with. There were references to 'head', 'tail', 'tr' and a few other Unix tools and a Python library called http://pypi.python.org/pypi/Unidecode[unidecode] which is able to convert Unicode data into ASCII. He then moved onto tools for converting PDFs into something more digestible and mentioned http://pdftohtml.sourceforge.net/[pdftohtml], http://en.wikipedia.org/wiki/Pdftotext[pdftotext] and http://inkscape.org/[inkscape]. He suggested saving any data you're working with into a database rather than working with raw files - http://couchdb.apache.org/[CouchDB] was his preference and he's also written a document like interface over SQLite called http://linux.softpedia.com/get/Database/Administrative-frontents/DumpTruck-84416.shtml[DumpTruck]. In the discussion afterwards someone mentioned http://tika.apache.org/[Apache Tika] which is a tool for extracting meta data using parser libraries. It looks neat as well.
* A general trend at this conference was that some of the talks ended up feeling quite salesy and *some presenters would only describe what they were doing up to a certain point* at which the rest effectively became 'magic'. I found this quite strange because in software conferences that I've attended people are happy to explain everything to you but I think here the 'magic' is actually how people are making money so it doesn't make sense to expose it. </ul> Overall it was an enjoyable couple of days and it was especially fascinating to see the different ways that people have come up with for exploring and visualising data and creating useful applications on top of that. | null | null | [
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] | strata-conf-london-day-2-wrap-up | https://markhneedham.com/blog/2012/10/03/strata-conf-london-day-2-wrap-up |
false | 2012-10-02 23:42:58 | Strata Conf London: Day 1 Wrap Up | [
"data-science-2"
] | [
"Data Science"
] | For the past couple of days I attended the http://strataconf.com/strataeu[first Strata Conf to be held in London] - a conference which seems to *bring together people from the data science and big data worlds* to talk about the stuff they're doing.
Since I've been playing around with a couple of different things in this area over the last 4/5 months I thought it'd be interesting to come along and see what people much more experienced in this area had to say!
* My favourite talk of the morning was by http://jakeporway.com/[Jake Porway] talking about his company http://datakind.org/[DataKind] - "an organisation that matches data from non-profit and government organisations with data scientists". In particular he focused on *data dive* - weekend events DataKind run where they bring together NGOs who have data they want to explore and data scientists/data hackers/statisticians who can help them find some insight in the data. There was http://datakind.org/events/londondatadive/[an event in London last weekend] and there's http://www.shareable.net/blog/datakinds-vision-of-a-data-driven-social-change-movement[an extensive write up on one that was held in Chicago] earlier in the year. Jake also had some good tips for working with data which he shared:
** Start with a question not with the data
** Team up with someone who knows the story of the data
** Visualisation is a process not an end - need tools that allow you to explore the data
** You don't need big data to have big insights
+
Most of those tie up with what https://twitter.com/a5hok[Ashok] and I have been learning in the stuff we've been working on but Jake put it much better than I could!
* https://twitter.com/jenit[Jeni Tennison] gave an interesting talk about the http://www.theodi.org/about[Open Data Institute] - an organisation that I hadn't heard about until the talk. Their goal is to help people find value from the Open Government Data that's now being made available. There's an http://www.theodi.org/events/open-data-hack-days[Open Data Hack Day] in London on October 25th/26th being run by these guys which sounds like it could be pretty cool. Jeni had another talk on the second day where I believe she went into more detail about how they are going about making government data publicly available, including the data of http://data.gov.uk/blog/legislationgovuk-api[legislation.gov.uk].
* https://twitter.com/smfrogers[Simon Rogers] of the Guardian and Kathryn Hurley of Google gave a talk about the http://www.guardian.co.uk/data[Guardian Data blog] where Kathyrn had recently spent a week working. Simon started out by talking about the importance of knowing what stories matter to you and your audience before Kathryn rattled through a bunch of useful tools for doing this type of work. Some of the ones I hadn't heard of were http://code.google.com/p/google-refine/[Google Refine] and http://vis.stanford.edu/wrangler/[Data Wrangler] for cleaning up data, http://www.google.com/publicdata/directory[Google Data Explorer] for finding interesting data sets to work with and finally http://cartodb.com/[CartoDB], http://datawrapper.de/[DataWrapper] and http://www.tableausoftware.com/[Tableau] for creating data visualisations.
* In the afternoon I saw a very cool presentation demonstrating http://www.emoto2012.org/#home//2012-07-27/[Emoto 2012] - a bunch of visualisations done using London 2012 Olympics data. It particularly focused around sentiment analysis - working out the positive/negative sentiment of tweets - which the guys used http://www.lexalytics.com/technical-info/salience-engine-for-text-analysis[Lexalytics Salience Engine] to do. One of the more amusing examples showed the emotion of tweets about Ryan Lochte suddenly going very negative when he admitted to http://www.usmagazine.com/celebrity-news/news/ryan-lochte-admits-to-peeing-in-pool-at-olympics-201258[peeing in the pool].
* https://twitter.com/noelwelsh[Noel Welsh] gave a talk titled 'Making Big Data Small' in which he ran through different streaming/online algorithms which we can use to work out things like the most frequent items or to learn classifiers/recommendation systems. It moved pretty quickly so I didn't follow everything but he did talk about Hash functions, referencing the https://sites.google.com/site/murmurhash/[Murmur Hash 3 algorithm] and also talked about the https://github.com/clearspring/stream-lib[stream-lib] library which has some of the other algorithms mentioned. http://alex.smola.org/[Alex Smola's blog] was suggested as a good resource for learning more about this topic as well.
* https://twitter.com/edmundjackson[Edmund Jackson] then gave an interesting talk about using *clojure to do everything you'd want to do in the data science arena* from quickly hacking something to building a production ready piece of machine learning code. He spent a bit of time at the start of the talk explaining the *mathematical and platform problems* that we face when working in this area and suggested that clojure sits nicely on the intersection. If we need to do anything statistics related we can use http://incanter.org/[incanter], http://www.cs.waikato.ac.nz/ml/weka/[weka] and http://mahout.apache.org/[Mahout] give us machine learning algorithms, we can use http://jblas.org/[JBLAS] to do linear algebra and https://github.com/nathanmarz/cascalog/wiki[cascalog] is available to run queries on top of Hadoop. On top of that if we want to try some code out on a bit of data we have an easily accessible REPL and if we later need to make our code run in parallel it should be reasonably easy to do.
* Jason McFall gave a talk about http://strataconf.com/strataeu/public/schedule/detail/25895[establishing cause and effect from data] which was a good refresher in statistics for me and covered similar ground to some of the https://www.coursera.org/course/stats1[Statistics One] course on coursera. In particular he talked about the *danger of going on a fishing expedition* where we decide what it is we want to conclude from our data and then go in search of things to support that conclusion. We also need to make sure we connect all the data sets - sometimes we can make wrong conclusions about something but when we have all the data that conclusion no longer makes sense. http://www.greenteapress.com/thinkstats/[Think Stats] was suggested as a good book for learning more in this area.
* The last talk I saw was by http://www.maxgadney.com/[Max Gadney] talking about the work he's done for the Government Digital Service (GDS) building a dashboard for departmental data & for uefa providing insight to users about what's happening in a match. I'd seen some of the GDS stuff before but http://aftertheflood.co/government-digital-service-dashboard-tool/[Max has written it up pretty extensively on his blog as well] so it was the uefa stuff that intrigued me more! In particular he developed http://aftertheflood.co/uefa-com-pitch-view-application/[an 'attacking algorithm'] which filtered through the masses of data they had and was able to determine which team had the attacking momentum - it was especially interesting to see how much Real Madrid dominated against Manchester City when they played each other a couple of weeks ago.
+
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] | strata-conf-london-day-1-wrap-up | https://markhneedham.com/blog/2012/10/02/strata-conf-london-day-1-wrap-up |
false | 2012-10-27 20:24:48 | Kaggle Digit Recognizer: Mahout Random Forest attempt | [
"machine-learning-2"
] | [
"Machine Learning"
] | I've written previously about the http://www.markhneedham.com/blog/2012/10/23/kaggle-digit-recognizer-a-k-means-attempt/[K-means] http://www.markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-k-means-optimisation-attempt/[approach] that http://twitter.com/jennifersmithco[Jen] and I took when trying to solve http://www.kaggle.com/c/digit-recognizer[Kaggle's Digit Recognizer] and having stalled at about 80% accuracy we decided to try one of the algorithms suggested in the http://www.kaggle.com/c/digit-recognizer/details/tutorial[tutorials section] - the https://www.kaggle.com/wiki/RandomForests[random forest]!
We initially used a https://github.com/eandrejko/random-forests-clj[clojure random forests library] but struggled to build the random forest from the training set data in a reasonable amount of time so we switched to https://cwiki.apache.org/MAHOUT/breiman-example.html[Mahout's version] which is based on Leo Breiman's http://oz.berkeley.edu/users/breiman/randomforest2001.pdf[random forests] paper.
There's http://blog.factual.com/the-wisdom-of-crowds[a really good example explaining how ensembles work on the Factual blog] which we found quite useful in helping us understand how random forests are supposed to work.
____
One of the most powerful Machine Learning techniques we turn to is ensembling. Ensemble methods build surprisingly strong models out of a collection of weak models called base learners, and typically require far less tuning when compared to models like Support Vector Machines. Most ensemble methods use decision trees as base learners and many ensembling techniques, like Random Forests and Adaboost, are specific to tree ensembles.
____
We were able to adapt the +++<cite>+++https://github.com/apache/mahout/blob/trunk/examples/src/main/java/org/apache/mahout/classifier/df/BreimanExample.java[BreimanExample]+++</cite>+++ included in the examples section of the Mahout repository to do what we wanted.
To start with we wrote the following code to build the random forest:
[source,java]
----
public class MahoutKaggleDigitRecognizer {
public static void main(String[] args) throws Exception {
String descriptor = "L N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N ";
String[] trainDataValues = fileAsStringArray("data/train.csv");
Data data = DataLoader.loadData(DataLoader.generateDataset(descriptor, false, trainDataValues), trainDataValues);
int numberOfTrees = 100;
DecisionForest forest = buildForest(numberOfTrees, data);
}
private static DecisionForest buildForest(int numberOfTrees, Data data) {
int m = (int) Math.floor(Maths.log(2, data.getDataset().nbAttributes()) + 1);
DefaultTreeBuilder treeBuilder = new DefaultTreeBuilder();
treeBuilder.setM(m);
return new SequentialBuilder(RandomUtils.getRandom(), treeBuilder, data.clone()).build(numberOfTrees);
}
private static String[] fileAsStringArray(String file) throws Exception {
ArrayList<String> list = new ArrayList<String>();
DataInputStream in = new DataInputStream(new FileInputStream(file));
BufferedReader br = new BufferedReader(new InputStreamReader(in));
String strLine;
br.readLine(); // discard top one (header)
while ((strLine = br.readLine()) != null) {
list.add(strLine);
}
in.close();
return list.toArray(new String[list.size()]);
}
}
----
The training data file looks a bit like this:
[source,text]
----
label,pixel0,pixel1,pixel2,pixel3,pixel4,pixel5,pixel6,pixel7,pixel8...,pixel783
1,0,0,0,0,0,0,...,0
0,0,0,0,0,0,0,...,0
----
So in this case the label is in the first column which is represented as an +++<cite>+++L+++</cite>+++ in the descriptor and the next 784 columns are the numerical value of the pixels in the image (hence the 784 +++<cite>+++N+++</cite>+++'s in the descriptor).
We're telling it to create a random forest which contains 100 trees and since we have a finite number of categories that an entry can be classified as we pass +++<cite>+++false+++</cite>+++ as the 2nd argument (regression) of +++<cite>+++https://github.com/apache/mahout/blob/trunk/core/src/main/java/org/apache/mahout/classifier/df/data/DataLoader.java#L184[DataLoader.generateDataSet]+++</cite>+++.
The +++<cite>+++m+++</cite>+++ value determines how many attributes (pixel values in this case) are used to construct each tree and supposedly +++<cite>+++log~2~(number_of_attributes) + 1+++</cite>+++ is the optimal value for that!
We then wrote the following code to predict the labels of the test data set:
[source,java]
----
public class MahoutKaggleDigitRecognizer {
public static void main(String[] args) throws Exception {
...
String[] testDataValues = testFileAsStringArray("data/test.csv");
Data test = DataLoader.loadData(data.getDataset(), testDataValues);
Random rng = RandomUtils.getRandom();
for (int i = 0; i < test.size(); i++) {
Instance oneSample = test.get(i);
double classify = forest.classify(test.getDataset(), rng, oneSample);
int label = data.getDataset().valueOf(0, String.valueOf((int) classify));
System.out.println("Label: " + label);
}
private static String[] testFileAsStringArray(String file) throws Exception {
ArrayList<String> list = new ArrayList<String>();
DataInputStream in = new DataInputStream(new FileInputStream(file));
BufferedReader br = new BufferedReader(new InputStreamReader(in));
String strLine;
br.readLine(); // discard top one (header)
while ((strLine = br.readLine()) != null) {
list.add("-," + strLine);
}
in.close();
return list.toArray(new String[list.size()]);
}
}
----
There were a couple of things that we found confusing when working out how to do this:
. The format of the test data needs to be identical to that of the training data which consisted of a label followed by 784 numerical values. Obviously with the test data we don't have a label so Mahout excepts us to pass a '-' where the label would go otherwise it will throw an exception, which explains the '-' on the +++<cite>+++list.add+++</cite>+++ line.
. We initially thought the value returned by +++<cite>+++https://github.com/apache/mahout/blob/trunk/core/src/main/java/org/apache/mahout/classifier/df/DecisionForest.java#L90[forest.classify]+++</cite>+++ was the prediction but in actual fact it's an index which we then need to look up on the data set.
When we ran this algorithm against the test data set with 10 trees we got an accuracy of 83.8%, with 50 trees we got 84.4%, with 100 trees we got 96.28% and with 200 trees we got 96.33% which is where we've currently peaked.
The amount of time it's taking to build the forests as we increase the number of trees is also starting to become a problem so our next step is either to look at a way to parallelise the creation of the forest or do some sort of http://www.kaggle.com/c/digit-recognizer/forums/t/2308/feature-extraction-technique[feature extraction]to try and improve the accuracy.
The https://github.com/jennifersmith/machinenursery/blob/master/src/main/java/MahoutPlaybox.java[code is on github] if you're interested in playing with it or have any suggestions on how to improve it. | null | null | [
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] | kaggle-digit-recognizer-mahout-random-forest-attempt | https://markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-mahout-random-forest-attempt |
false | 2012-10-27 22:03:30 | Mahout: Using a saved Random Forest/DecisionTree | [
"machine-learning-2",
"mahout"
] | [
"Machine Learning"
] | One of the things that I wanted to do while http://www.markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-mahout-random-forest-attempt/[playing around with random forests] using http://mahout.apache.org/[Mahout] was to save the random forest and then use use it again which is something Mahout does cater for.
It was actually much easier to do this than I'd expected and assuming that we already have a +++<cite>+++https://github.com/apache/mahout/blob/trunk/core/src/main/java/org/apache/mahout/classifier/df/DecisionForest.java[DecisionForest]+++</cite>+++ built we'd just need the following code to save it to disc:
[source,java]
----
int numberOfTrees = 1;
Data data = loadData(...);
DecisionForest forest = buildForest(numberOfTrees, data);
String path = "saved-trees/" + numberOfTrees + "-trees.txt";
DataOutputStream dos = new DataOutputStream(new FileOutputStream(path));
forest.write(dos);
----
When I was looking through the API for how to load that file back into memory again it seemed like all the public methods required you to be using Hadoop in some way which I thought was going to be a problem as I'm not using it.
For example the signature for +++<cite>+++DecisionForest.load+++</cite>+++ reads like this:
[source,java]
----
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
public static DecisionForest load(Configuration conf, Path forestPath) throws IOException { }
----
As it turns out though you can just pass an empty configuration and a normal file system path and the forest shall be loaded:
[source,java]
----
int numberOfTrees = 1;
Configuration config = new Configuration();
Path path = new Path("saved-trees/" + numberOfTrees + "-trees.txt");
DecisionForest forest = DecisionForest.load(config, path);
----
Much easier than expected! | null | null | [
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] | mahout-using-a-saved-random-forestdecisiontree | https://markhneedham.com/blog/2012/10/27/mahout-using-a-saved-random-forestdecisiontree |
false | 2012-10-27 12:27:10 | Kaggle Digit Recognizer: K-means optimisation attempt | [
"machine-learning-2",
"kaggle"
] | [
"Machine Learning"
] | I recently wrote a blog post explaining how https://twitter.com/jennifersmithco[Jen] and I http://www.markhneedham.com/blog/2012/10/23/kaggle-digit-recognizer-a-k-means-attempt/[used the K-means algorithm] to classify digits in http://www.kaggle.com/c/digit-recognizer[Kaggle's Digit Recognizer problem] and one of the things we'd read was that with this algorithm you often end up with situations where it's difficult to classify a new item because if falls between two labels.
We decided to have a look at the output of our classifier function to see whether or not that was the case.
As a refresher, this was our original function to determine the label for a new test data row...
[source,lisp]
----
(defn which-am-i [unranked-value]
(let [all-the-gaps (map #(find-gap %1 unranked-value) all-the-averages)]
[(ffirst (sort-by second all-the-gaps)) all-the-gaps]))
----
...and that would return a result like this:
[source,lisp]
----
user> (which-am-i (first test-data))
[0 ([0 1763.5688862988827] [1 2768.1143197890624] [2 2393.9091578180937]
[3 2598.4629450761286] [4 2615.1233720558307] [5 2287.1791665580586]
[6 2470.096959417967] [7 2406.0132574502527] [8 2489.3635108564304] [9 2558.0054056506265])]
----
We first changed the function to return another entry in the vector representing the top two picks:
[source,lisp]
----
(defn which-am-i [unranked-value]
(let [all-the-gaps (map #(find-gap %1 unranked-value) all-the-averages)
top-two (take 2 (sort-by second all-the-gaps))]
[(ffirst (sort-by second all-the-gaps)) top-two all-the-gaps]))
----
If we run that:
[source,lisp]
----
user> (which-am-i (first test-data))
[2 ([2 1855.3605185002546] [0 2233.654619238101])
([0 2233.654619238101] [1 2661.7148686603714] [2 1855.3605185002546]
[3 2512.429018687221] [4 2357.637631775974] [5 2457.9850052966344]
[6 2243.724487123002] [7 2554.1158473740174] [8 2317.567588716217] [9 2520.667565741239])]
----
In this case the difference between the top 2 labels is about 400 but we next changed the function to output the actual difference so we could see how close the top 2 were over the whole test set:
[source,lisp]
----
(defn which-am-i [unranked-value]
(let [all-the-gaps (map #(find-gap %1 unranked-value) all-the-averages)
top-two (take 2 (sort-by second all-the-gaps))
difference-between-top-two (Math/abs (apply - (map second top-two)))]
[(ffirst (sort-by second all-the-gaps)) top-two difference-between-top-two all-the-gaps]))
----
We then ran it like this, taking just the first 10 differences on this occasion:
[source,lisp]
----
user> (take 10 (->> test-data (map which-am-i) (map #(nth % 2))))
(378.2941007378465 523.6102802591759 73.57510749262792 3.8557350283749656 5.806672422475231
183.90928740097775 713.1626629833258 335.38646365464047 538.6191727330108 161.68429111785372)
----
From visually looking at this over a larger subset we noticed that there seemed to be a significant number of top twos within a distance of 50.
We therefore changed the function to use http://clojuredocs.org/clojure_core/1.2.0/clojure.core/shuffle[shuffle] to randomly pick between those two labels when the distance was that small.
[source,lisp]
----
(defn which-am-i [unranked-value]
(let [all-the-gaps (map #(find-gap %1 unranked-value) all-the-averages)
top-two (take 2 (sort-by second all-the-gaps))
difference-between-top-two (Math/abs (apply - (map second top-two)))
very-close (< difference-between-top-two 50)
best-one (if very-close (ffirst (shuffle top-two)) (ffirst top-two))]
[best-one top-two all-the-gaps]))
----
Our assumption was that this might marginally improve the performance of the algorithm but it actually made it marginally worse, with a new accuracy of 79.3%
At this point we weren't really sure what we should be doing to try and improve the algorithm's performance so we moved onto random forests but it's interesting that you can get a reasonable accuracy even with such a simple approach! | null | null | [
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] | kaggle-digit-recognizer-k-means-optimisation-attempt | https://markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-k-means-optimisation-attempt |
false | 2012-10-27 18:21:57 | Retrospectives: An alternative safety check | [
"retrospectives"
] | [
"Agile"
] | At the start of most of the retrospectives I've been part of we've followed the safety check ritual whereby each person participating has to write a number from 1-5 on a sticky describing how they'll be participating in the retrospective.
1 means you'll probably keep quiet and not say much, 5 means you're perfectly comfortable saying anything and the other numbers fall in between those two extremes.
In my experiences it's a bit of a fruitless exercise because its viewed that a higher number is 'better' and therefore the minimum people will tend to write down is '3' because they don't want to stand out or cause a problem.
I've been in retrospectives where the majority of people were a '4' but then when it came to a contentious topic only 1 or 2 people contributed so I've become a bit sceptical of this safety check approach!
Before a retrospective I was facilitating a couple of months ago https://twitter.com/philandstuff[Phil] told me about an alternative that he preferred called ESVP which is described in http://www.amazon.co.uk/Agile-Retrospectives-Making-Pragmatic-Programmers/dp/0977616649/ref=sr_1_1?ie=UTF8&qid=1351360514&sr=8-1[Agile Retrospectives] like so:
* **E**xplorers are eager to discover new ideas and insights. They want to learn everything they can about the iteration/release/project.
* **S**hoppers will look over all the available information, and will be happy to go home with one useful new idea.
* **V**acationers aren't interested in the work of the retrospective, but are happy to be away from the daily grind. They may pay attention some of the time, but are mostly glad to be out of the office.
* **P**risoners feel that they've been forced to attend and would rather be doing something else.
Phil pointed out that in this case each of the possible categories describes how people will contribute to the retrospective whereas the traditional safety check is more about their degree of comfort with the environment.
I don't have enough data points to declare that this is better than the 1-5 approach but from my experiences it seems that there's less pressure on people to fit in one of the categories since none is 'better' than the other, just different.
In a recent retrospective where we used this it led to a conversation where people explained why they had chosen a particular category, which I thought was quite fascinating and something I haven't seen happen with the numbers approach.
My instinct is that if someone actually felt like a 'Prisoner' then they might not actually categorise themselves as that but I haven't seen this approach used enough to say that for certain! | null | null | [
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] | retrospectives-an-alternative-safety-check | https://markhneedham.com/blog/2012/10/27/retrospectives-an-alternative-safety-check |
false | 2012-10-10 23:28:40 | Varnish: Purging the cache | [
"software-development",
"varnish"
] | [
"Software Development"
] | We're using https://www.varnish-cache.org/[varnish] to cache all the requests that come through our web servers and especially in our pre-production environments we deploy quite frequently and want to see the changes that we've made.
This means that we need to purge the pages we're accessing from varnish so that it will actually pass the request through to the application server and serve up the latest version of the page.
For some reason my google-fu when trying to remember/work out how to do this has always been weak but my colleague http://www.linkedin.com/pub/shodhan-sheth/2/277/287[Shodhan] helped me understand how to do this today so I thought I better record it so I don't forget!
The way we've configured varnish to allow us to purge entries is similar to that described on the https://www.varnish-cache.org/docs/trunk/users-guide/purging.html[purging and banning page].
We have the following code in our +++<cite>+++/etc/varnish/default.vcl+++</cite>+++:
[source,text]
----
acl purge_acl {
"localhost";
}
# purge individual URLs from the cache
if(req.request == "PURGE") {
if(!client.ip ~ purge_acl) {
error 405 "Not allowed";
} else {
purge("req.url == " req.url);
error 200 "Purged";
}
}
----
We only allow purging to be done if you're on the machine i.e. your IP needs to be localhost and if you pass a request method of 'PURGE' that will remove that specific URL from varnish.
Any requests made will go first through nginx before being passed onto varnish.
If we start off with a URL which is already cached:
[source,text]
----
$ curl --insecure -I -H "Host: www.realhostgoeshere.com" https://localhost
HTTP/1.1 200 OK
Server: nginx
Date: Wed, 10 Oct 2012 23:21:36 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 12929
Connection: keep-alive
Vary: Accept-Encoding
Vary: Accept-Encoding
Vary: Accept-Encoding
Status: 200 OK
Cache-Control: max-age=1800, public
X-UA-Compatible: IE=Edge,chrome=1
ETag: "9b2569322b89a71aca8c67f5f2b3a873"
X-Request-Id: 9c783ff4386fa9a7937f31d22854dcc8
X-Varnish: 1045982044 1045982042
Via: 1.1 varnish
age: 0
X-Cache: HIT
Strict-Transport-Security: max-age=2419200
----
We can see that we got a varnish cache hit based on the 'X-Cache' header returned on the second last line.
To purge the cache for the root URL we'd do this:
[source,text]
----
$ curl --insecure -I -H "Host: www.realhostgoeshere.com" https://localhost -X PURGE
HTTP/1.1 200 Purged
Server: nginx
Date: Wed, 10 Oct 2012 23:22:46 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 449
Connection: keep-alive
Vary: Accept-Encoding
Retry-After: 0
X-Varnish: 1045982047
Age: 0
Via: 1.1 varnish
X-Cache: MISS
Strict-Transport-Security: max-age=2419200
----
The 200 response code tells us that we were successful with our purging although from my brief experiments it seems like you would get that response code even if you purged a URL that didn't exist!
If we hit that URL again:
[source,text]
----
curl --insecure -I -H "Host: www.realhostgoeshere.com" https://localhost
HTTP/1.1 200 OK
Server: nginx
Date: Wed, 10 Oct 2012 23:23:17 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 12929
Connection: keep-alive
Vary: Accept-Encoding
Vary: Accept-Encoding
Vary: Accept-Encoding
Status: 200 OK
Cache-Control: max-age=1800, public
X-UA-Compatible: IE=Edge,chrome=1
ETag: "9b2569322b89a71aca8c67f5f2b3a873"
X-Request-Id: bfcf1568382ce42ee0f9d4245b23f5cd
X-Varnish: 1045982048
Via: 1.1 varnish
age: 0
X-Cache: MISS
Strict-Transport-Security: max-age=2419200
----
We can see that it's been purge and varnish therefore had to go and request the page from the application server. If we hit it one more time we can see that it's now cached again!
[source,text]
----
curl --insecure -I -H "Host: www.realhostgoeshere.com" https://localhost
HTTP/1.1 200 OK
Server: nginx
Date: Wed, 10 Oct 2012 23:26:43 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 12929
Connection: keep-alive
Vary: Accept-Encoding
Vary: Accept-Encoding
Vary: Accept-Encoding
Status: 200 OK
Cache-Control: max-age=1800, public
X-UA-Compatible: IE=Edge,chrome=1
ETag: "9b2569322b89a71aca8c67f5f2b3a873"
X-Request-Id: bfcf1568382ce42ee0f9d4245b23f5cd
X-Varnish: 1045982050 1045982048
Via: 1.1 varnish
age: 0
X-Cache: HIT
Strict-Transport-Security: max-age=2419200
---- | null | null | [
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false | 2012-10-10 00:00:36 | Nygard Big Data Model: The Investigation Stage | [
"data-science-2"
] | [
"Data Science"
] | Earlier this year http://thinkrelevance.com/blog/2012/04/04/big-data-reference-model[Michael Nygard wrote an extremely detailed post about his experiences in the world of big data projects] and included in the post was the following diagram which I've found very useful.
image::{{<siteurl>}}/uploads/2012/10/nygard.png[Nygard,600]
_Nygard's Big Data Model (shamelessly borrowed by me because it's awesome)_
https://twitter.com/a5hok[Ashok] and I have been doing some work in this area helping one of our clients make sense of and visualise some of their data and we realised retrospectively that *we were very acting very much in the investigation stage of the model*.
In particular Nygard makes the following suggestions about the way that we work when we're in this mode:
____
We *don't want to invest in fully automated machine learning and feedback*. That will follow once we validate a hypothesis and want to integrate it into our routine operation. Ad-hoc analysis refers to human-based data exploration. This can be as simple as spreadsheets with line graphs\...the key aspect is that most of the tools are interactive. Questions are expressed as code, but that *code is usually just "one shot"* and is not meant for production operations.
____
In our case we weren't doing anything as complicated as machine learning - most of our work was working out the relationships between things, how best to model those and what visualisations would best describe what we were seeing.
We didn't TDD any of the code, we copy/pasted a lot and when we had a longer running query we didn't try and optimise it there and then, instead we ran it once, saved the results to a file and then used the file to load it onto the UI.
We were able to work in iterations of 2/3 hours during which we tried to http://www.markhneedham.com/blog/2012/05/05/neo4j-what-question-do-you-want-to-answer/[answer a question] (or more than one if we had time) and then showed our client what we'd managed to do and then decided where we wanted to go next.
To start with we did all this with a subset of the actual data set and then once we were on the right track we loaded in the rest of the data.
We can easily get *distracted by the difficulties of loading large amounts of data before checking whether what we're doing makes sense*.
We iterated 4 or 5 different ideas before we got to one that allowed us to explore an area which hadn't previously been explored.
Now that we've done that we're rewriting the application from scratch, still using the same ideas as from the initial prototype, but this time making sure the queries can run on the fly and making the code a bit closer to production quality!
We've *moved into the implementation stage of the model* for this avenue although if I understand the model correctly, it would be ok to go back into investigation mode if we want to do some discovery work with others parts of the data.
I'm probably quoting this model way too much to people that I talk to about this type of work but I think it's really good so nice work Mr Nygard! | null | null | [
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] | nygard-big-data-model-the-investigation-stage | https://markhneedham.com/blog/2012/10/10/nygard-big-data-model-the-investigation-stage |
false | 2012-10-21 23:08:01 | How we're using story points | [
"agile"
] | [
"Agile"
] | A couple of weeks ago Joshua Kerievsky wrote a post http://www.industriallogic.com/blog/stop-using-story-points/[describing how he and his teams don't use story points anymore] because of the problems they'd had with them which included:
* Story Point Inflation - inflating estimates of stories so that the velocity for an iteration is higher
* Comparing teams by points - judging comparative performance of teams by how many points they're able to complete
On the team I'm currently working on we still estimate the relative size of stories using points but we don't use velocity per iteration to keep score - most of the time it's barely even mentioned.
Instead for the past couple of months we've just been *using the velocity to see whether or not we were going to achieve the minimum viable infrastructure (MVI)* that we needed to have done before launch.
The nice thing on this occasion was that the MVI was actually reasonably flexible and there were bits of it which were 'nice to have' if we had the time and would make our life easier but didn't have to be there to launch.
As it turned out we ended up finishing the cards required for the MVI a couple of weeks early which left us some flexibility/time to do things which had been forgotten or cropped up late on because something else didn't work.
We did have a few weeks where our velocity fluctuated massively but an interesting observation which https://twitter.com/philandstuff[Phil] made at the time was that despite the points totals being different we'd actually completed roughly the same number of cards.
Joshua describes the same thing in his post when detailing an email sent to the Extreme Programming list by Don Wells:
____
We have been counting items done. Each week we just choose the most important items and sign up for them up to the number from last week. It turns out that we get about the same number of them done regardless of estimated effort
____
This approach was described to me a few years ago by http://blog.rufiao.com/about/[Julio Maia] but as I understand it works on the assumption that we can break the work down into chunks which are roughly the same size which in my experience is very difficult to do.
Whatever approach we end up using I think it's important that we *don't praise or criticise the team based on the velocity achieved that week*.
I've worked on numerous teams where the project manager will praise the team in the standup for achieving a velocity higher than normal even though nothing has changed which would account for the increase.
In fact the change in velocity can probably be accounted for by normal variance.
If we don't do that and just use the story points as a tool for roughly judging how much work we can complete in a time period then they're not so horrendous.
Easier said than done of course! | null | null | [
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] | how-were-using-story-points | https://markhneedham.com/blog/2012/10/21/how-were-using-story-points |
false | 2012-10-21 21:35:35 | Do the simple thing | [
"software-development",
"simplicity"
] | [
"Software Development"
] | One of the most unexpected things that I picked up while pairing with https://twitter.com/a5hok[Ashok] for a few days in August/September is his ability to *pick the simplest solution* when confronted with a problem.
On numerous occasions we'd be trying to do something and I'd end up on a yak shaving mission trying to get a complicated approach to work while he watched on with bemusement.
I thought I'd actually learnt this lesson from working with Ashok but on a couple of occasions over the last week I've caught myself doing the same thing again!
A couple of days ago I wanted to send a photo taken on my phone to someone but the photo was about 2MB in size, I couldn't get the wireless network in the office to work and attempting to send it via 3G was totally failing.
I somehow found myself trying to debug the problem with the wireless network when http://www.linkedin.com/pub/shodhan-sheth/2/277/287[Shodhan] pointed out that I could just transfer the file via USB to my machine and then email it from there.
To add to my shame, earlier this evening I was trying to help my mum get a song from a CD onto the hard drive and somehow found myself trying to compile http://ffmpeg.org/download.html[ffmeg] so that I could convert an AIFF file into an MP3 on my Mac.
In actual fact all I needed to do was rip the CD using Windows Media Player which somehow had completely skipped by mind until https://twitter.com/jennifersmithco[Jen] and http://www.youtube.com/watch?v=rV2wkX0InBk[YouTube] led me to that solution at the same time.
In retrospect I can't believe I actually believed that what I was doing was a good solution to the problem but some part of my brain clearly though it was!
Although both this examples are on the periphery of software development I think it's very easy to fall into the same trap there - *we want to use things that we've learned to come up with clever solutions* but that cleverness isn't always useful! | null | null | [
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] | do-the-simple-thing | https://markhneedham.com/blog/2012/10/21/do-the-simple-thing |
false | 2012-10-07 10:43:46 | Mac OS X: Removing Byte Order Mark with an editor | [
"macosx"
] | [
"Software Development"
] | About a month ago I wrote about http://www.markhneedham.com/blog/2012/09/03/a-rogue-357273277-utf-8-byte-order-mark/[some problems I was having working with Windows generated CSV files] which had a Byte Order Mark (BOM) at the beginning of the file and I described a way to get rid of it using awk.
It's a bit of a long winded process though and I always forget what the parameters I need to pass to awk are so I thought it would probably be quicker if I could just work out a way to get rid of the BOM using an editor.
I'm using a Mac so the most popular hex editor on that platform seems to be http://ridiculousfish.com/hexfiend/[HexFiend].
If we open the problematic file with that it's reasonably easy to see where the BOM is and we can then manually remove it.
image::{{<siteurl>}}/uploads/2012/10/bom.jpg[Bom,600]
There is a http://stackoverflow.com/questions/2160405/hex-editor-for-mac-osx[list of other hex editors for the Mac on this Stack Overflow thread].
I figured there was probably a way to do this using emacs and indeed there is!
One way is to open the file using 'Meta-X find-file-literally' which displays all non ASCII characters so that you can delete them if you want:
image::{{<siteurl>}}/uploads/2012/10/bom-2.jpg[Bom 2,600]
I also http://stackoverflow.com/questions/3859274/removing-byte-order-marks-boms-using-emacs[learnt about another way] which is to first open the file using 'Ctrl X Ctrl F' and then run 'Meta-X set-buffer-file-encoding-system' and enter 'utf-8' before saving the file. The BOM will now be deleted!
This is perhaps a bit simpler since you don't need to delete the characters manually.
There is a http://unix.stackexchange.com/questions/39786/in-emacs-or-other-editor-how-to-display-the-byte-offset-of-the-cursor[third way where you open the file using 'Meta X hexl-find-file'] but it seems more difficult to use than the other two options! | null | null | [
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] | mac-os-x-removing-byte-order-mark-with-an-editor | https://markhneedham.com/blog/2012/10/07/mac-os-x-removing-byte-order-mark-with-an-editor |
false | 2012-10-31 08:41:09 | Emacs/Clojure: Starting out with paredit | [
"clojure",
"emacs",
"paredit"
] | [
"Clojure"
] | I've been complaining recently to https://twitter.com/jennifersmithco[Jen] and https://twitter.com/otfrom[Bruce] about the lack of a beginner's guide to http://emacswiki.org/emacs/ParEdit[emacs paredit mode] which seems to be the defacto approach for people working with Clojure and both pointed me to the http://emacswiki.org/emacs/PareditCheatsheet[paredit cheat sheet].
While it's very comprehensive, I found that it's a little overwhelming for a complete newbie like myself.
I therefore thought it'd be useful to write a bit about a couple of things that I've picked up from pairing with Jen on little bits of Clojure over the last couple of months.
Let's say we start with a simple function to add two numbers together:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.16.18.jpeg[Screen shot 2012 10 31 at 08 16 18,124]
And say for example we decide that we want to add 5 to the result so the function adds the two numbers together and then adds 5.
Jen showed me that the best way to do this is to go beyond the furthest bracket to the left and start typing there:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.23.15.jpeg[Screen shot 2012 10 31 at 08 23 15,122]
The brackets are now a bit misaligned. We need the ')' where the cursor currently is to go to the end of the line.
One way to do this is to move the cursor in front of the '(' of the second '+' on the line and press 'Ctrl + K' which in emacs means 'kill line to end' but in this case kills to the end of the expression that we're at the beginning of:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.25.16.jpeg[Screen shot 2012 10 31 at 08 25 16,118]
We then move the cursor back to just after the '5' and press 'Ctrl + Y' which in emacs means re-insert the last text that was killed:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.26.04.jpeg[Screen shot 2012 10 31 at 08 26 04,129]
This works but it's a little bit long winded and Jen showed me a quicker way.
If we go back to the position where we had just inserted the '+ 5' and place our cursor just in front of the ')':
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.23.15.jpeg[Screen shot 2012 10 31 at 08 23 15,122]
We can then press 'Ctrl + Shift + Right Arrow' to push the right bracket to the end of the line:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.32.07.jpeg[Screen shot 2012 10 31 at 08 32 07,121]
From what I can tell, this can also be achieved by pressing 'Meta + X' followed by 'paredit-forward-slurp-sexp' or 'Meta + Shift + )'.
We have to be a little bit careful about where we position the cursor because if we put it after the bracket then we can end up bringing another function into our one by mistake!
For example say just below our 'add' function we have a subtract one:
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.34.31.jpeg[Screen shot 2012 10 31 at 08 34 31,153]
And we put our cursor just after the ')' of the '+ 5' bit of code and press 'Ctrl + Shift + RIght Arrow':
image::{{<siteurl>}}/uploads/2012/10/Screen-shot-2012-10-31-at-08.35.24.jpeg[Screen shot 2012 10 31 at 08 35 24,164]
We now have a bizarre looking function 'add' which has the 'subtract' function contained inside it!
At the moment this is the main paredit shortcut I know and it seems to work reasonably well. I also find myself using 'Ctrl + Shift + -' which allows me to undo any mistakes I make!
Now to learn my next command! Any suggestions? | null | null | [
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] | emacsclojure-starting-out-with-paredit | https://markhneedham.com/blog/2012/10/31/emacsclojure-starting-out-with-paredit |
false | 2012-10-30 22:46:34 | Clojure: Mahout's 'entropy' function | [
"clojure",
"mahout"
] | [
"Clojure"
] | As I http://www.markhneedham.com/blog/2012/10/27/kaggle-digit-recognizer-mahout-random-forest-attempt/[mentioned in a couple] http://www.markhneedham.com/blog/2012/10/27/mahout-using-a-saved-random-forestdecisiontree/[of previous posts] https://twitter.com/jennifersmithco[Jen] and I have been playing around with https://cwiki.apache.org/MAHOUT/random-forests.html[Mahout random forests] and for a few hours last week we spent some time looking through the code to see how it worked.
In particular we came across an entropy function which is used to determine how good a particular 'split' point in a decision tree is going to be.
I http://computersciencesource.wordpress.com/2010/01/28/year-2-machine-learning-decision-trees-and-entropy/[quite like the following definition]:
____
The level of certainty of a particular decision can be measured as a number from 1 (completely uncertain) to 0 (completely certain). Information Theory (developed by Claude Shannon 1948) defines this value of uncertainty as entropy, a probability-based measure used to calculate the amount of uncertainty. For example, if an event has a 50/50 probability, the entropy is 1. If the probability is 25/75 then the entropy is a little lower. The goal in machine learning is to get a very low entropy in order to make the most accurate decisions and classifications.
____
The function reads like this:
[source,java]
----
private static double entropy(int[] counts, int dataSize) {
if (dataSize == 0) {
return 0.0;
}
double entropy = 0.0;
double invDataSize = 1.0 / dataSize;
for (int count : counts) {
if (count == 0) {
continue; // otherwise we get a NaN
}
double p = count * invDataSize;
entropy += -p * Math.log(p) / LOG2;
}
return entropy;
}
----
We decided to see what the function would look like it was written in Clojure and it was clear from looking at how the +++<cite>+++entropy+++</cite>+++ variable is being mutated that we'll need to do a +++<cite>+++reduce+++</cite>+++ over a collection to get our final result.
In my first attempt at writing this function I started with the call to reduce and then worked out from there:
[source,lisp]
----
(defn individual-entropy [x data-size]
(let [p (float (/ x data-size))]
(/ (* (* -1 p) (Math/log p)) (Math/log 2.0))))
(defn calculate-entropy [counts data-size]
(if (= 0 data-size)
0.0
(reduce
(fn [entropy x] (+ entropy (individual-entropy x data-size)))
0
(remove (fn [count] (= 0 count)) counts))))
----
Jen was pretty much watching on with horror the whole time I wrote this function but I was keen to see how our approaches differed so I insisted she allow me to finish!
We then moved onto Jen's version where instead of writing the code all in one go like I did, we would try to reduce the problem to the point where we wouldn't need to pass a custom anonymous function to +++<cite>+++reduce+++</cite>+++ but could instead pass a +++<cite>+++++++</cite>+++.
This meant we'd need to run a +++<cite>+++map+++</cite>+++ over the +++<cite>+++counts+++</cite>+++ collection to get the individual entropy values first and then add them all together.
[source,lisp]
----
(defn calculate-entropy [counts data-size]
(->> counts
(remove #(= 0 %))
(map #(individual-entropy % data-size))
(reduce +)))
----
Here we're using the http://emacswiki.org/emacs/ThreadMacroFromClojure[threading operator] to make the code a bit easier rather than nesting functions as I had done.
Jen also showed me a neat way of rewriting the line with the +++<cite>+++remove+++</cite>+++ function to use a set instead:
[source,lisp]
----
(defn calculate-entropy [counts data-size]
(->> counts
(remove #{0})
(map #(individual-entropy % data-size))
(reduce +)))
----
I hadn't seen this before although http://blog.jayfields.com/2010/08/clojure-using-sets-and-maps-as.html[Jay Fields has a post showing a bunch of examples of using sets and maps as functions].
In this case if the set is applied to 0 the value will be returned:
[source,lisp]
----
user> (#{0} 0)
0
----
But if the set is applied to a non 0 value we'll get a nil back:
[source,lisp]
----
user> (#{0} 2)
nil
----
So if we apply that to a collection of values we'd see the 0s removed:
[source,lisp]
----
user> (remove #{0} [1 2 3 4 5 6 0])
(1 2 3 4 5 6)
----
I http://www.markhneedham.com/blog/2012/03/19/functional-programming-one-function-at-a-time/[wrote a similar post earlier in the year] where another colleague showed me his way of breaking down a problem but clearly I still haven't quite got into the mindset so I thought it was worth writing up. | null | null | [
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] | clojure-mahouts-entropy-function | https://markhneedham.com/blog/2012/10/30/clojure-mahouts-entropy-function |
false | 2012-10-24 17:40:49 | Configuration in DNS | [
"devops-2"
] | [
"DevOps"
] | In the http://www.thoughtworks.com/radar/#/techniques/9056[latest version of the ThoughtWorks Technology Radar] one of the areas covered is 'configuration in DNS', a term which I first came across earlier in the year from a mailing list post by my former colleague http://dan.bodar.com/[Daniel Worthington-Bodart].
The radar describes it like so:
____
Application deployments often suffer from an excess of environment-specific configuration settings, including the hostnames of dependent services. *Configuration in DNS* is a valuable technique to reduce this complexity by using standard hostnames like '`mail`' or '`db`' and have DNS resolve to the correct host for that environment. This can be achieved in multiple ways, including split-horizon DNS or configuring search subdomains. Collaboration between development teams and IT operations is essential to achieve this, but that is unfortunately still difficult in some organizations.
____
As I alluded to in http://www.markhneedham.com/blog/2012/10/14/environment-agnostic-machines-and-applications/[my post about creating environment agnostic machines] one of the techniques that we've used to achieve this is configuration in DNS, whereby we use fully qualified domain names (FQDN) for services in our configuration files and have DNS resolve them.
For example for our frontend application we use the service name +++<cite>+++frontend.production.domain-name.com+++</cite>+++ which resolves to a load balancer that routes requests to the appropriate machine.
http://in.linkedin.com/pub/shodhan-sheth/2/277/287[Shodhan] pointed out that the 'production' in the name is a bit misleading because it suggests the name is environment specific which isn't the case.
We use the same name in staging as well and since the two environments are on different virtual networks the name will resolve to a different machine.
Now that we're using this approach I was trying to remember what other ways I've seen environment-specific configuration handled and I can think of two other ways:
== IP addresses
One way is to hard code IP addresses in our configuration files and then either vary those based on the environment or have the environments use separate private networks in which case we could use the same ones.
The disadvantage of this approach is that IPs can be quite difficult to remember and are easy to mistype.
== Machine FQDNs
An approach which is slightly better than using IPs is to make use of a specific machine's FQDN which would then be resolved by DNS.
If the machine's IP changes then that would be taken care of and we wouldn't need to change our configuration file but it isn't particularly flexible to change.
For example if we wanted to change one of our services to make it load balanced that would be much more difficult to do if we've hard coded machine names into configuration files than if we have something like +++<cite>+++db.backend.production+++</cite>+++ which we can instead route to a load balancer's IP.
Given that we wanted to use service oriented host names we than had to decide how those names would be resolved:
== Host files
One way to do this, and the way that we're currently using, is to store all the FQDNs in the +++<cite>+++/etc/hosts+++</cite>+++ file on every machine and point those names at the appropriate machines.
In our case we're often pointing them at a hardware load balancer but it could also be an individual machine where that makes more sense e.g. when pointing to the master in a MySQL setup.
This could become quite difficult to manage as the number of FQDNs increases but we're managing it through puppet so the most annoying thing is that it can take up to half an hour for a newly added FQDN to be resolvable across the whole stack.
== Internal DNS server
An alternative approach is to setup an internal DNS server which would mainly be used to service DNS requests for our own network.
The disadvantage of this approach is that it would be a single point of failure which is problematic in terms of making it a good thing to try and compromise if you can break into the network as well as being a potential performance bottleneck.
Of course the latter can be solved by making use of caching or making the DNS server redundant but I do like the simplicity of the +++<cite>+++/etc/hosts+++</cite>+++ approach.
I'd be interested in hearing about other/better approaches to solving the configuration problem if people know of any! | null | null | [
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] | configuration-in-dns | https://markhneedham.com/blog/2012/10/24/configuration-in-dns |
false | 2012-10-23 19:04:20 | Kaggle Digit Recognizer: A K-means attempt | [
"machine-learning-2"
] | [
"Machine Learning"
] | Over the past couple of months Jen and I have been playing around with the http://www.kaggle.com/c/digit-recognizer[Kaggle Digit Recognizer problem] - a 'competition' created to introduce people to Machine Learning.
____
The goal in this competition is to take an image of a handwritten single digit, and determine what that digit is.
____
You are given an input file which contains multiple rows each containing 784 pixel values representing a 28x28 pixel image as well as a label indicating which number that image actually represents.
One of the algorithms that we tried out for this problem was a variation on the http://en.wikipedia.org/wiki/K-means_clustering[k-means clustering] one whereby we took the values at each pixel location for each of the labels and came up with an average value for each pixel.
So we'd end up with something like this:
[source,text]
----
Label 0: Pixel 1: 214, Pixel 2: 12, Pixel 3: 10...Pixel 784: 23
Label 1: Pixel 1: 234, Pixel 2: 0, Pixel 3: 25...Pixel 784: 0
Label 2: Pixel 1: 50, Pixel 2: 23, Pixel 3: 20...Pixel 784: 29
...
Label 9: Pixel 1: 0, Pixel 2: 2, Pixel 3: 10...Pixel 784: 1
----
When we needed to classify a new image we calculated the distance between each pixel of the new image against the equivalent pixel of each of the 10 pixel averaged labels and then worked out which label our new image was closest to.
We started off with some code to load the training set data into memory so we could play around with it:
[source,lisp]
----
(require '[clojure.string :as string])
(use 'clojure.java.io)
(defn parse [reader]
(drop 1 (map #(string/split % #",") (line-seq reader))))
(defn get-pixels [pix] (map #( Integer/parseInt %) pix))
(defn create-tuple [[ head & rem]] {:pixels (get-pixels rem) :label head})
(defn parse-train-set [reader] (map create-tuple (parse reader)))
(defn read-train-set [n]
(with-open [train-set-rd (reader "data/train.csv")]
(vec (take n (parse-train-set train-set-rd)))))
----
One thing we learnt was that it's helpful to just be able to take a small subset of the data set into memory rather than loading the whole thing in straight away. I ended up crashing my terminal a few times by evaluating a 40,000 line file into the Slime buffer - not a good idea!
To get the first row we'd do this:
[source,lisp]
----
user> (first (read-train-set 1))
{:pixels (0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0...), :label "0"}
----
We wrote the following code to work out the average pixel values for each of the labels:
[source,lisp]
----
(def all-the-data (read-train-set 1000))
(defn find-me-all-the [number] (filter #(= (str number) (:label %)) all-the-data))
(defn mean [& v]
(float
(/ (apply + v) (count v) )))
(defn averages [rows] (apply map mean (map :pixels rows)) )
(def all-the-averages
(map vector (range 0 9) (map #(averages (find-me-all-the %)) (range 0 9))))
----
It's mostly self explanatory although we had to use +++<cite>+++float+++</cite>+++ in the mean calculation so that we'd get a decimal value rather than a fraction.
https://twitter.com/jennifersmithco[Jen] also came up with a neat way of using +++<cite>+++apply+++</cite>+++ in the +++<cite>+++averages+++</cite>+++ function to map the +++<cite>+++mean+++</cite>+++ function across each individual pixel.
I found it easier to follow when we ran the function with a smaller data set:
[source,lisp]
----
user> (averages [ {:pixels [1 2 3]} {:pixels [4 5 6]}])
(2.5 3.5 4.5)
----
That expands out to this:
[source,lisp]
----
user> (apply map mean [[1 2 3] [4 5 6]])
----
Which is conceptually the same as doing this:
[source,lisp]
----
user> (map mean [1 2 3] [4 5 6])
----
We can get the averages for the label '0' like so:
[source,lisp]
----
user> (first all-the-averages)
[0 (1.317757 3.3551402 6.196262 7.373831155...74767 171.61682 147.51402 96.943924 48.728973 22.299065 3.037383 )]
----
To work out what label an untrained collection of pixels is closest to we wrote the following functions:
[source,lisp]
----
(defn distance-between [fo1 fo2]
(Math/sqrt (apply + (map #(* % %) (map - fo1 fo2)))))
(defn find-gap [averages unranked-value]
(vector (first averages) (distance-between (second averages) unranked-value)))
(defn which-am-i [unranked-value]
(let [all-the-gaps (map #(find-gap %1 unranked-value) all-the-averages)]
[(ffirst (sort-by second all-the-gaps)) all-the-gaps]))
----
+++<cite>+++distance-between+++</cite>+++ finds the http://en.wikipedia.org/wiki/Euclidean_distance[euclidean distance] between the pixel values, +++<cite>+++find-gap+++</cite>+++ then uses this to find the distance from each of the trained labels set of pixels to the test data set and we can then call +++<cite>+++which-am-i+++</cite>+++ to find out which label a new set of pixels should be classified as:
[source,lisp]
----
user> (first test-data)
(0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0...)
user> (which-am-i (first test-data))
[0 ([0 1763.5688862988827] [1 2768.1143197890624] [2 2393.9091578180937]
[3 2598.4629450761286] [4 2615.1233720558307] [5 2287.1791665580586]
[6 2470.096959417967] [7 2406.0132574502527] [8 2489.3635108564304] [9 2558.0054056506265])]
----
The +++<cite>+++which-am-i+++</cite>+++ function first returns its prediction and then also includes the distance from the test data set to each of the trained labels so that we can tell how close it was to being classified as something else.
We got an accuracy of 80.657% when classifying new values with this algorithm which isn't great but doesn't seem too bad given how simple it is and that we were able to get it up and running in a couple of hours.
The https://github.com/jennifersmith/machinenursery[code is on Jen's github] if you're interested in seeing more. | null | null | [
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] | kaggle-digit-recognizer-a-k-means-attempt | https://markhneedham.com/blog/2012/10/23/kaggle-digit-recognizer-a-k-means-attempt |
false | 2012-10-14 18:49:02 | Environment agnostic machines and applications | [
"devops-2"
] | [
"Software Development",
"DevOps"
] | On my current project we've been setting up production and staging environments and http://in.linkedin.com/pub/shodhan-sheth/2/277/287[Shodhan] came up with the idea of making staging and production identical to the point that a machine wouldn't even know what environment it was in.
Identical in this sense means:
* Puppet doesn't know which environment the machine is in. Our factor variables suggest the environment is production.
* We set the RACK_ENV variable to production so applications don't know what environment they're in.
* The IPs and host names of equivalent machines in production/staging are identical
The only thing that differs is that the external IPs to access machines differ and therefore the NATed address that they display to the world when making any outgoing requests is also different.
The only place where we do something different based on an environment is when deploying applications from http://jenkins-ci.org/[Jenkins].
At that stage if there needs to be a different configuration file or initializer depending on the environment we'll have it placed in the correct location.
== Why are we doing this?</h4> The benefit of doing this is that we can have a much higher degree of confidence that something which works in staging is also going to work in production. Previously we'd noticed that we were inclined to write switch or if/else statements in puppet code based on the environment which meant that the machines were being configured differently depending on the environment. There have been a few problems with this approach, most of which we've come up with a solution for.
== Problems</h4>
== Applications that rely on knowing their environment One problem we had while doing this was that some applications did internally rely on knowing which environment they were deployed on. For example, we have an email processing job which relies on the RACK_ENV variable and we would end up processing production emails on staging if we deployed the job there with RACK_ENV set to 'production'. Our temporary fix for this was to change the application's deployment mechanism so that this job wouldn't run in staging but the long term fix is to make it environment agnostic.
== Addressing machines from outside the network We sometimes need to http://www.markhneedham.com/blog/2012/08/10/sshing-onto-machines-via-a-jumpbox/[SSH into machines via a jumpbox] and this becomes more difficult now that machines in production and staging have identical IPs and host names. We got around this with some cleverness to rewrite the hostname if it ended in staging. The +++<cite>+++~/.ssh/config+++</cite>+++ file reads like this: ~~~text Host *.staging IdentityFile ~/.ssh/id_rsa ProxyCommand sh -c "/usr/bin/ssh_staging %h %p" ~~~ And in +++<cite>+++/usr/bin/ssh_staging+++</cite>+++ we have the following: ~~~text HOSTNAME=`echo $1 | sed s/staging/production/` ssh staging-jumpbox1 nc $HOSTNAME $2 ~~~ If we were to run the following command: ~~~text ssh some-box.staging ~~~ That would SSH us onto the staging jumpbox and then proxy an SSH connection onto +++<cite>+++some-box.production+++</cite>+++ using netcat. Since web facing applications in both staging and production are referred to by the same fully qualified domain name (FQDN) we need to update our +++<cite>+++/etc/hosts+++</cite>+++ file to access the staging version. ~~~text staging.ip some-app.production.whatever.else ~~~
== When SSHing you can't tell which environment a machine is One problem with having the machines not know their environment is that we couldn't tell whether or not we'd SSH'd into a staging or production machine by looking at our command prompt since they have identical host names. We ended up defining PS1 based on the public IP address of the machine which we found out by calling http://icanhazip.com/[icanhazip.com] Overall despite the fact that it was initially painful - and Shodhan game-fully took most of that pain - to do this I think it makes sense as an idea and I'd probably want to have it baked in from the beginning on anything I work on in future. | null | null | [
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] | environment-agnostic-machines-and-applications | https://markhneedham.com/blog/2012/10/14/environment-agnostic-machines-and-applications |
false | 2012-10-14 09:28:28 | Play Framework 2.0: Rendering JSON data in the view | [
"software-development",
"play"
] | [
"Software Development"
] | I've been playing around with the http://www.playframework.org/[Play Framework] which we're using to front a bunch of visualisations and one thing I wanted to do is send a data structure to a view and then convert that into JSON.
I've got a simple controller which looks like this:
[source,java]
----
package controllers;
import play.mvc.Controller;
import play.mvc.Result;
import views.html.*;
public class SalesByCategory extends Controller {
public static Result index() {
ArrayList<Map<String, Object>> series = new ArrayList<Map<String, Object>>();
Map<String, Object> oneSeries = new HashMap<String, Object>();
oneSeries.put("name", "awesome");
oneSeries.put("sales", calculateSales()); # would call a method elsewhere, implementation isn't important
series.add(oneSeries);
# I have a view named 'index.scala.html'
return ok(index.render("Awesome visualisation", series));
}
}
----
The top of the corresponding view looks like this:
[source,html]
----
@(message: String)(series:List[Map[String, Object]])
----
I'm using the GSON library to convert objects into JSON so I need to import that into the view:
[source,html]
----
@import com.google.gson.Gson
----
I was initially struggling to work out what the syntax would be to call the GSON code from within the page but with a bit of trial and error realised that the following would do the trick:
[source,html]
----
<script lang="text/javascript">
var series = @{new Gson().toJson(series)};
</script>
----
The problem with this version of the code was that the string was being escaped so I ended up with series having a value like this:
[source,text]
----
[{"name":" #and so on!
----
I needed to tell Play not to escape this string which in Play v1 was done by calling 'raw()' on the string but http://stackoverflow.com/questions/10326050/getting-a-raw-string-back-for-use-in-javascript-in-play-framework-2-0[in Play v2 is done using the 'Html' method]:
[source,html]
----
<script lang="text/javascript">
var series = @{Html(new Gson().toJson(series))};
</script>
----
And now the JSON renders beautifully! | null | null | [
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] | play-framework-2-0-rendering-json-data-in-the-view | https://markhneedham.com/blog/2012/10/14/play-framework-2-0-rendering-json-data-in-the-view |
false | 2012-07-04 19:34:45 | sudo, sudo -i & sudo su | [
"software-development"
] | [
"Software Development"
] | On the project I'm currently working on we're doing quite a bit of puppet and although we're using the puppet master approach in production & test environments it's still useful to be able to run puppet headless to test changes locally.
Since several of the commands require having write access to 'root' folders we need to run 'puppet apply' as a super user using sudo. We also need to run it in the context of some environment variables which the root user has.
One way to do this would be to run the following command:
[source,text]
----
sudo su
----
That runs the 'su' command as root which means that we can https://twitter.com/rjhunter/status/220347921915314176[run root's shell as the root user] without needing to know the root password.
The cool thing about using 'su' like this is that it leaves us in the same directory that we were in before we ran the command.
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo su
root@ubuntu:/home/mneedham/puppet#
----
If instead we want to be positioned in the root home directory we could use the following:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo su -
root@ubuntu:~# pwd
/root
----
We can achieve a similar outcome using 'sudo -i', a flag I didn't know about until my colleague https://twitter.com/#!/philandstuff[Phil Potter] showed me:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo -i
root@ubuntu:~# pwd
/root
----
____
-i [command]
The -i (simulate initial login) option runs the shell specified in the passwd(5) entry of the target user as a login shell. This means that login-specific resource files such as .profile or .login will be read by the shell.
If a command is specified, it is passed to the shell for execution. Otherwise, an interactive shell is executed.
sudo attempts to change to that user's home directory before running the shell. It also initializes the environment, leaving DISPLAY and TERM unchanged, setting HOME, SHELL, USER, LOGNAME, and PATH, as well as the contents of /etc/environment on Linux and AIX systems. All other environment variables are removed.
____
Interestingly with 'sudo -i' we can pass a command which will be executed in the root context which would be useful in this situation as we wouldn't need to keep switching to the root shell to run puppet.
One of the things that changes if we're in the root shell is the value of $HOME so I started with that to check I was passing the command correctly:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo -i echo $HOME
/home/mneedham
----
Unfortunately the echo statement is getting evaluated in the context of the current user's shell rather than the root shell and https://twitter.com/rjhunter/status/220286792346243072[my colleague Rob Hunter showed me the 'set -x' tool/flag] so that I could figure out what was going on with the escaping in the shell:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo -i echo $HOME
+ sudo -i echo /home/mneedham
/home/mneedham
----
As we can see, the $HOME value is expanded too early so we need to escape it like so:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ sudo -i echo \$HOME
+ sudo -i echo '$HOME'
/root
----
If we disable that flag:
[source,text]
----
mneedham@ubuntu:/home/mneedham/puppet$ set +x
+ set +x
mneedham@ubuntu:/home/mneedham/puppet$ sudo -i echo \$HOME
/root
----
We can see that $HOME is being evaluated in the root shell context and we can also call our 'puppet apply' script in a similar vein. | null | null | [
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] | sudo-sudo-i-sudo-su | https://markhneedham.com/blog/2012/07/04/sudo-sudo-i-sudo-su |
false | 2012-07-04 00:00:07 | Debugging: Google vs The Manual | [
"software-development"
] | [
"Software Development"
] | Over the last six months or so I've worked with a bunch of different people and one of the things that I've noticed is that when something isn't working there tend to be two quite distinct ways that people go about trying to solve the problem.
== The Manual
The http://en.wikipedia.org/wiki/RTFM[RTFM] crowd will go straight for the official documentation or source code if needs be in an attempt to work through the problem from first principals.
While this approach is more admirable it isn't always quicker, especially if the reason that something's gone wrong is because of an obscure dependency or something similar. That type of problem is unlikely to be documented!
On the other hand, if you're an early adopter for something then you probably have no choice other than to read the source since the documentation probably doesn't yet exist!
== Google
The lazier amongst us will copy the error message and keep deleting parts of it until Google turns up a useful result.
This approach works pretty well when working with popular software/tools where the likelihood of someone coming across the same problem and posting about it on a mailing list or blog is higher.
It's often possible to work backwards from a similar problem that someone else has to solve your own problem.
This approach works less well for obscure and/or proprietary software/tools where the community is less established and people haven't reported problems.
== Overall
A combination of the two approaches is what most people end up doing, although it's interesting watching how long they'll persist with their favoured approach before switching!
I fall in the second camp and a reasonable percentage of my blog posts consist of me recording problems I experienced so that other people don't have to search for ages if they come across the same thing in future. | null | null | [
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] | debugging-google-vs-the-manual | https://markhneedham.com/blog/2012/07/04/debugging-google-vs-the-manual |
false | 2012-07-05 23:42:35 | Bash Shell: Reusing parts of previous commands | [
"shell"
] | [
"Shell Scripting"
] | I've paired a few times with my colleague https://twitter.com/#!/philandstuff[Phil Potter] over the last couple of weeks and since he's a bit of a ninja with bash shortcuts/commands I wanted to record some of the things he's shown me so I won't forget them!
Let's say we're in the '/tmp' directory and want to create a folder a few levels down but forget to pass the '-p' option to 'mkdir':
[source,text]
----
$ mkdir blah/de/blah
mkdir: cannot create directory `blah/de/blah': No such file or directory
----
One way of fixing that would be to press the up arrow and navigate along the previous command and put in the '-p' flag but it's a bit fiddly so instead we can do the following:
[source,text]
----
$ ^mkdir^mkdir -p
mkdir -p blah/de/blah
----
The '^' allows us to replace any parts of the previous command and then run it again, so we could actually make that more concise if we wanted to:
[source,text]
----
$ ^r^r -p
mkdir -p blah/de/blah
----
Reasonably frequently after we've created a folder like this we'll want to create a file inside it. '!$' comes in handy here as it allows us to refer to the last argument passed to the last command:
[source,text]
----
$ touch !$/blah.xml
touch blah/de/blah/blah.xml
----
If we decide to remove that file and want to check it's been deleted we can run the following:
[source,text]
----
$ touch blah/de/blah/blah.xml
$ rm blah/de/blah/blah.xml
$ ls -alh !$:h
ls -alh blah/de/blah
total 8.0K
drwxr-xr-x 2 mneedham mneedham 4.0K 2012-07-05 16:26 .
drwxr-xr-x 3 mneedham mneedham 4.0K 2012-07-05 16:16 ..
----
The ':h' http://www.gnu.org/software/bash/manual/html_node/Modifiers.html#Modifiers[modifier] removes the file name and leaves the rest of the file path alone.
We can expand the value of '!$' or any other command by typing 'Esc' followed by '^' (Shift 6):
[source,text]
----
mneedham@ubuntu:/tmp$ mkdir -p blah/de/blah
mneedham@ubuntu:/tmp$ touch !$
----
Esc + {caret}
[source,text]
----
$ mkdir -p blah/de/blah
$ touch blah/de/blah
----
If we get carried away with modifiers we could also fix that first 'mkdir' command by making use of the 'substitution' modifier:
[source,text]
----
$ mkdir blah/de/blah
mkdir: cannot create directory `blah/de/blah': No such file or directory
$ !!:s/r/r -p
mkdir -p blah/de/blah
----
There's not really any reason I can think of why you'd want to use that when you can use the initial '^' approach though!
I came across http://samrowe.com/wordpress/advancing-in-the-bash-shell/[this blog post which explains how to do this type of thing and much more in the bash shell] - worth a read! | null | null | [
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] | bash-shell-reusing-parts-of-previous-commands | https://markhneedham.com/blog/2012/07/05/bash-shell-reusing-parts-of-previous-commands |
false | 2012-07-11 19:34:34 | Racket: Wiring it up to a REPL ala SLIME/Swank | [
"scheme"
] | [
"Software Development"
] | One of the awesome things about working with clojure is that it's possible to wire up clojure files in emacs to a REPL by making use of http://www.beaconhill.com/solutions/kb/clojure/setting-up-clojure-with-slime-on-ubuntu.html[Slime]/https://github.com/technomancy/swank-clojure[Swank].
I've started using http://racket-lang.org/[Racket] to work through the examples in http://www.amazon.co.uk/The-Little-Schemer-Daniel-Friedman/dp/0262560992/ref=sr_1_1?ie=UTF8&qid=1342034533&sr=8-1[The Little Schemer] and wanted to achieve a similar thing there.
____
Racket is a modern programming language in the Lisp/Scheme family, suitable for a wide range of applications
____
I don't know much about configuring emacs so I made use of Phil Halgelberg's https://github.com/technomancy/emacs-starter-kit[emacs-starter-kit which is available on github].
On my travels I came across http://www.youtube.com/watch?v=Zev99LT-k70[this video describing how to do exactly what I wanted].
The first step was to download a library called 'http://www.nongnu.org/geiser/[geiser]':
____
Geiser is a generic Emacs/Scheme interaction mode, featuring an enhanced REPL and a set of minor modes improving Emacs' basic scheme major mode.
____
The easiest way seemed to be to clone the git repository:
[source,text]
----
git clone git://gitorious.org/geiser/mainline.git geiser
----
I then added the following line to my +++<cite>+++/Users/mneedham.emacs.d/init.el+++</cite>+++ file:
[source,text]
----
(load "/Users/mneedham/github/geiser/elisp/geiser.el")
----
From emacs you then need to run the following command:
[source,text]
----
M-x geiser
----
It then asks you which scheme implementation you want to use, so in our case we need to make sure that racket is available on the path.
For some reason when I downloaded racket it seemed to prefer mounting itself as a volume rather than installing itself to /Applications so I ended up copy/pasting the folder to my home directory and adding it to the PATH in my +++<cite>+++.bashrc+++</cite>+++:
[source,text]
----
export PATH=$PATH:"/Users/mneedham/Documents/Racket v5.2.1/bin"
----
Now we can just type 'racket' when we're asked which scheme implementation we want and then we're done!
image::{{<siteurl>}}/uploads/2012/07/emacs-geiser1.jpg[Emacs geiser,600] | null | null | [
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] | racket-wiring-it-up-to-a-repl-ala-slimeswank | https://markhneedham.com/blog/2012/07/11/racket-wiring-it-up-to-a-repl-ala-slimeswank |
false | 2012-07-29 21:53:03 | Puppet: Keeping the discipline | [
"software-development",
"puppet"
] | [
"Software Development"
] | For the last 5 weeks or so I've been working with http://puppetlabs.com/[puppet] every day to automate the configuration of various nodes in our stack and my most interesting observation so far is that you really need to keep your discipline when doing this type of work.
We can keep that discipline in three main ways when developing modules.
== Running from scratch
Configuring various bits of software seems to follow the http://en.wikipedia.org/wiki/Pareto_principle[80/20 rule] and we get very close to having each thing working quite quickly but then end up spending a disproportionate amount of time tweaking the last little bits.
When it's 'just little bits' there is a massive temptation to *make changes manually and then retrospectively put it into a puppet module and assume that it will work* if we run from scratch.
From doing that a few times and seeing a module fail when run at a later stage we've realised it isn't a very good approach and we're started to get into the discipline of starting from scratch each time.
Ideally that would mean creating snapshots of a Virtual Machine instance and rolling back after each run but that ends up taking quite a bit of time so more often we're removing everything that a module installs and then running that module again.
== Running as part of environment
We tend to run the modules individually when we start writing them but it's also important to run them as part of an environment definition as well to make sure modules play nicely with each other.
This is particularly useful if there are dependencies between our module and another one - perhaps our module will be notified if there's a configuration file change in another module for example.
== Running on different machines
Even if we do the above two things we've still found that we catch problems with our modules when we try them out on other machines.
Machines which have been in use for a longer period of time will have earlier versions of a module which aren't easy to upgrade and we'll need to remove the old version and install the new one.
We've also come across occasions where other machines have left over files from modules that have since been removed and although the files seem harmless they can interfere with new modules that we're writing. | null | null | [
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] | puppet-keeping-the-discipline | https://markhneedham.com/blog/2012/07/29/puppet-keeping-the-discipline |
false | 2012-07-29 19:11:24 | Unix: tee | [
"unix",
"tee"
] | [
"Shell Scripting"
] | I've read about the Unix 'http://en.wikipedia.org/wiki/Tee_(command)[tee]' command before but never found a reason to use it until the last few weeks.
One of the things I repeatedly do by mistake is open +++<cite>+++/etc/hosts+++</cite>+++ without sudo and then try to make changes to it:
[source,text]
----
$ vi /etc/hosts
# Editing it leads to the dreaded 'W10: Changing a readonly file'
----
I always used to close the file and then re-open it with sudo but I recently came across http://www.commandlinefu.com/commands/view/1204/save-a-file-you-edited-in-vim-without-the-needed-permissions[an approach which allows us to use 'tee' to get around the problem].
Once we've made our change we can run the following command:
[source,text]
----
:w !sudo tee %
----
The ':w' is usually used to write the buffer to the current file but here we're substituting a shell command to receive the buffer instead.
In this case we're sending the buffer to the 'sudo tee %' command where '%' refers to the current file name.
tee is defined like so:
____
The tee utility copies standard input to standard output, making a copy in zero or more files. The output is unbuffered.
____
So we're sending the buffer for the current file to tee which then saves it to the current file. Since we've run tee with sudo it will give us the appropriate permissions to write to the file that we didn't initially have.
This http://stackoverflow.com/questions/2600783/how-does-the-vim-write-with-sudo-trick-work[Stack Overflow post explains what's going on in more detail].
Another thing we've been working on is hooking up the logs of our various services to http://logstash.net/[logstash] and to test it out we needed to write to files in the +++<cite>+++/var/log+++</cite>+++ directory.
We started out trying to echo a message to the end of the apache log file like this:
[source,text]
----
$ echo "random message" >> /var/log/apache2/access_log
zsh: permission denied: /var/log/apache2/access_log
----
As you can see that doesn't work since we don't have permissions to write to files in +++<cite>+++/var/log+++</cite>+++ so we need to find another way to do that and https://twitter.com/nickstenning[Nick] pointed out that tee would do the job here as well.
[source,text]
----
$ echo "random message" | sudo tee -a /var/log/apache2/access_log
random message
----
Passing the '-a' flag to tee means that it appends standard input to the file instead of replacing the whole file like before. If we don't want standard in to be directed to standard out we can redirect that to +++<cite>+++/dev/null+++</cite>+++ like so:
[source,text]
----
$ echo "random message" | sudo tee > /dev/null -a /var/log/apache2/access_log
---- | null | null | [
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] | unix-tee | https://markhneedham.com/blog/2012/07/29/unix-tee |
false | 2012-07-28 23:32:28 | neo4j: Multiple starting nodes by index lookup | [
"neo4j",
"cypher"
] | [
"neo4j"
] | I spent a bit of time this evening extracting some data from the ThoughtWorks graph for our marketing team who were interested in anything related to our three European offices in London, Manchester and Hamburg.
The most interesting things we can explore relate to the relationship between people and the offices.
The model around people and offices looks like this:
image::{{<siteurl>}}/uploads/2012/07/current-home-office.png[Current home office,600]
I added a 'current_home_office' relationship to make it easier to quickly get to the nodes of people who are currently working in a specific office.
I previously had to use a bit of a convoluted query to achieve the same thing and while the 'current_home_office' relationship would need to be maintained as people move offices since I'm just playing around with this data it makes my life much easier.
I wanted to find the number of different offices that people in Europe had worked in which I've previously calculated by running three separate queries and manually compiling the results:
[source,text]
----
START office=node:offices(name = "London - UK South")
MATCH person-[:current_home_office]->office, person-[:member_of]->otherOffice
RETURN distinct person.name, count(distinct(otherOffice)) AS offices, ID(person)
ORDER BY offices DESC
----
[source,text]
----
START office=node:offices(name = "Manchester - UK North")
MATCH person-[:current_home_office]->office, person-[:member_of]->otherOffice
RETURN distinct person.name, count(distinct(otherOffice)) AS offices, ID(person)
ORDER BY offices DESC
----
[source,text]
----
START office=node:offices(name = "Hamburg - Germany")
MATCH person-[:current_home_office]->office, person-[:member_of]->otherOffice
RETURN distinct person.name, count(distinct(otherOffice)) AS offices, ID(person)
ORDER BY offices DESC
----
Here we start from a specific office and then match all the people who have this as their current home office. We also match all the offices that person has been a member of and then return a count of the unique offices the person has been to.
That approach works fine but it always felt like I was missing out on a simple way of doing all three of those queries in one since they are identical except for the office name.
What I wanted to do is define 3 starting nodes based on combining those Lucene index lookups into one which captured all 3 offices.
I started just trying to get the offices to return while following the http://lucene.apache.org/core/3_6_0/queryparsersyntax.html[Lucene query parser syntax] documentation.
For some reason my initial attempt returned neither an error nor any results:
[source,text]
----
neo4j-sh (0)$ START office=node:offices("name:'London - UK South' OR name:'Hamburg - Germany'
OR name:'Manchester - UK North'") RETURN office
neo4j-sh (0)$
----
When I switched the quotes around it was much happier:
[source,text]
----
neo4j-sh (0)$ START office=node:offices('name:"London - UK South" OR name:"Hamburg - Germany"
OR name:"Manchester - UK North"') RETURN office
==> +-------------------------------------------------------------------------+
==> | office |
==> +-------------------------------------------------------------------------+
==> | Node[4171]{type->"office",country->"UK",name->"Manchester - UK North"} |
==> | Node[4168]{type->"office",country->"UK",name->"London - UK South"} |
==> | Node[4177]{type->"office",country->"Germany",name->"Hamburg - Germany"} |
==> +-------------------------------------------------------------------------+
==> 3 rows, 0 ms
==>
----
We can then reduce the queries which find how many offices people from ThoughtWorks Europe have worked in down to the following query:
[source,text]
----
START office=node:offices('name:"London - UK South" OR name:"Hamburg - Germany" OR name:"Manchester - UK North"')
MATCH person-[:current_home_office]->office, person-[:member_of]->otherOffice
RETURN distinct person.name, count(distinct(otherOffice)) AS offices
ORDER BY offices DESC
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] | neo4j-multiple-starting-nodes-by-index-lookup | https://markhneedham.com/blog/2012/07/28/neo4j-multiple-starting-nodes-by-index-lookup |
false | 2012-07-17 00:02:51 | neo4j: java.security.NoSuchAlgorithmException: Algorithm [JKS] of type [KeyStore] from provider [org.bouncycastle.jce.provider.BouncyCastleProvider: name=BC version=1.4] | [
"neo4j"
] | [
"neo4j"
] | I've spent the last couple of hours moving my neo4j graph from my own machine onto a vanilla CentOS VM and initially tried to run neo using a non Sun version of Java which I installed like so:
[source,text]
----
yum install java
----
This is the version of Java that was installed:
[source,text]
----
$ java -version
java version "1.5.0"
gij (GNU libgcj) version 4.4.6 20120305 (Red Hat 4.4.6-4)
----
When I tried to start neo4j:
[source,text]
----
neo4j/bin/neo4j start
----
I ended up with the following exception in the neo4j log @ +++<cite>+++neo4j/data/log/neo4j.0.0.log+++</cite>+++:
[source,text]
----
Caused by: java.security.NoSuchAlgorithmException: Algorithm [JKS] of type [KeyStore]
from provider [org.bouncycastle.jce.provider.BouncyCastleProvider: name=BC version=1.4] is not found
----
I assumed this algorithm was only being packaged with the Sun JDK (although http://www.bouncycastle.org/java.html[the website suggests otherwise]) so I'd need to replace my version of Java to get it working.
I got the 64 bit '.bin' file from the Oracle download page and then installed it using rpm:
[source,text]
----
rpm -ivh jdk-6u33-linux-x64-rpm.bin
----
I now have this version of Java installed and neo4j is much happier:
[source,text]
----
java -version
java version "1.6.0_33"
Java(TM) SE Runtime Environment (build 1.6.0_33-b04)
Java HotSpot(TM) 64-Bit Server VM (build 20.8-b03, mixed mode)
----
After googling around for a bit I'm still not entirely sure why it wasn't able to work with the original version of Java I installed so if anyone could point me in the direction that'd be useful. | null | null | [
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] | neo4j-java-security-nosuchalgorithmexception-algorithm-jks-of-type-keystore-from-provider-org-bouncycastle-jce-provider-bouncycastleprovider-namebc-version1-4 | https://markhneedham.com/blog/2012/07/17/neo4j-java-security-nosuchalgorithmexception-algorithm-jks-of-type-keystore-from-provider-org-bouncycastle-jce-provider-bouncycastleprovider-namebc-version1-4 |
false | 2012-07-19 19:57:31 | neo4j: Shortest Path with and without cypher | [
"neo4j",
"cypher"
] | [
"neo4j"
] | I was looking back at some code I wrote a few months ago to query a neo4j database to find the shortest path between two people via the colleagues relationships that exist.
image:{{<siteurl>}}/uploads/2012/05/initial.png[]</img>
The initial code, written using neography, looked like this:
[source,ruby]
----
neo = Neography::Rest.new
start_node = neo.get_node(start_node_id)
destination_node = neo.get_node(destination_node_id)
neo.get_paths(start_node,
destination_node,
{ "type" => "colleagues" },
depth = 3,
algorithm = "shortestPath")
----
The neography code eventually makes a POST request to +++<cite>+++/node/\{start_id}/paths+++</cite>+++ and provides a JSON payload containing the other information about the query.
It works fine and is pretty readable but since I wrote it I've learnt how to write queries using the http://docs.neo4j.org/chunked/stable/cypher-query-lang.html[cypher] query language so I thought it would be interesting to contrast the two bits of code against each other.
This is the equivalent written using cypher:
[source,ruby]
----
query = "START source=node(#{start_node_id}), destination=node(#{destination_node_id})"
query << "MATCH p = allShortestPaths(source-[r:colleagues*..3]->destination)"
query << "RETURN NODES(p)"
neo.execute_query(query)
----
The amount of lines of code is pretty similar but the thing I like about cypher is that it feels much more declarative and therefore, I think at least, easier to understand.
Having said that, the learning curve for the non-cypher API is a bit easier and it's probably best to start with that to get a feel of what sorts of things you can do with a graph.
When I first started learning cypher I was always forgetting which order to put the different key words and what the syntax was for selecting your starting node.
After a while you do get the hang of it though and it starts to feel like any other programming language.
If we didn't have the node ids of our source and destination nodes but we had two people's names which had been stored in a 'people' Lucene index then we could just as easily find the path between them like this:
[source,ruby]
----
START source=node:people(name="Mark Needham"), destination=node:people(name="Cameron Swords")
MATCH p = allShortestPaths(source-[r:colleagues*..3]->destination)
RETURN NODES(p)
----
I use cypher for pretty much everything I do when reading from the graph and since http://blog.neo4j.org/2012/05/neo4j-18m01-release-vindeln-vy.html[version 1.8 M01] it's been possible to construct queries which mutate the graph as well. | null | null | [
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] | neo4j-shortest-path-with-and-without-cypher | https://markhneedham.com/blog/2012/07/19/neo4j-shortest-path-with-and-without-cypher |
false | 2012-07-21 22:46:06 | neo4j: Embracing the sub graph | [
"neo4j",
"cypher"
] | [
"neo4j"
] | In May I wrote a blog post explaining how I'd been designing a neo4j graph by http://www.markhneedham.com/blog/2012/05/05/neo4j-what-question-do-you-want-to-answer/[thinking about what questions I wanted to answer about the data].
In the comments Josh Adell gave me the following advice:
____
The neat things about graphs is that multiple subgraphs can live in the same data-space. +
\... +
Keep your data model rich! Don't be afraid to have as many relationships as you need. The power of graph databases comes from finding surprising results when you have strongly interconnected data.
____
At the time I didn't really understand the advice but I've since updated my graph so that it includes 'colleagues' relationships which can be derived by looking at the projects that people had worked together on.
image::{{<siteurl>}}/uploads/2012/07/v2-a.png[V2 a,600]
When I was showing the graph to http://www.linkedin.com/profile/view?id=15082115&authType=NAME_SEARCH&authToken=t4ys&locale=en_US&srchid=66859460-2706-4d7d-848c-3924569bc30e-0&srchindex=1&srchtotal=19&goback=%2Efps_PBCK_*1_Marc_Hofer_*1_*1_*1_*1_*2_*1_Y_*1_*1_*1_false_1_R_*1_*51_*1_*51_true_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2_*2&pvs=ps&trk=pp_profile_name_link[Marc] he thought it would be quite interesting to see all the people that he hadn't worked with before, a query that's very easy to write when we have these two sub graphs.
We could write the following cypher query to find who Marc hadn't worked with on a specific project:
[source,text]
----
START project=node:projects(name="Project X"), me=node:people(name="Marc Hofer")
MATCH project<-[:worked_on]-neverColleague-[c?:colleagues]->me
WHERE c is NULL
RETURN neverColleague
----
We do an index lookup to find the appropriate project node and to find the node that represent's Marc.
THe MATCH clause starts from the project and then work backwards to the people who have worked on it. We then follow an optional colleagues relationship back to Marc.
The WHERE clause makes sure that we only return people that Marc doesn't have a 'colleagues' relationship with i.e. people Marc hasn't worked with.
Along the same lines we could also find out all the people that Marc has worked with from a specific office:
[source,text]
----
START office=node:offices(name="London - UK South"), me=node:people(name="Marc Hofer")
MATCH office<-[r:member_of]-colleague-[c:colleagues]->me
WHERE (NOT(HAS(r.end_date)))
RETURN colleague, c
----
This is reasonably similar to the previous query except the colleagues relationship is no longer optional since we only want to find people that Marc has worked with.
I'm sure there are other queries we could run but these were a couple that I hadn't thought of before I had multiple sub graphs together on the same overall graph. | null | null | [
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] | neo4j-embracing-the-sub-graph | https://markhneedham.com/blog/2012/07/21/neo4j-embracing-the-sub-graph |
false | 2012-07-30 22:28:38 | London Bus Stops API: Mapping northing/easting values to lat/long | [
"software-development"
] | [
"Software Development"
] | I started playing around with the http://www.tfl.gov.uk/businessandpartners/syndication/16493.aspx#17463[TFL Bus stop location and routes API] and one of the annoying things about the data is that it uses http://en.wikipedia.org/wiki/Easting_and_northing[easting/northing] values to describe the location of bus stops rather than lat/longs.
The https://raw.github.com/mneedham/london-buses/master/data/stops.csv[first few lines of the CSV file] look like this:
[source,text]
----
1000,91532,490000266G,WESTMINSTER STN <> / PARLIAMENT SQUARE,530171,179738,177,0K08,0
10001,72689,490013793E,TREVOR CLOSE,515781,174783,78,NB16,0
10002,48461,490000108F,HIGHBURY CORNER,531614,184603,5,C902,0
----
For each of the stops I wanted to convert from the easting/northing value to the equivalent lat/long value but I couldn't find a simple way of doing it in code although I did http://www.uk-postcodes.com/eastingnorthing.php?easting=530171&northing=179738[come across an API that would do it for me].
I wrote the following script to save a new CSV file with all the London bus stops and their lat/long location:
[source,ruby]
----
require 'rubygems'
require 'csv'
require 'open-uri'
require 'json'
data_dir = File.expand_path('data') + '/'
file_name = data_dir + "stops.csv"
stops = CSV.read(file_name).drop(1)
out = CSV.open(data_dir + "stops_with_lat_longs.csv","w")
stops.each do |stop|
code = stop[1]
easting = stop[4]
northing = stop[5]
url = "http://www.uk-postcodes.com/eastingnorthing.php?easting=#{easting}&northing=#{northing}"
location = JSON.parse(open(url).read)
puts "Processing #{stop[3]}: #{location['lat']}, #{location['lng']}"
out << [code, location['lat'],location['lng']]
end
out.close
----
I've uploaded the https://github.com/mneedham/london-buses/blob/master/data/stops_with_lat_longs.csv[file with mapping from bus stop code to lat/long] to github as well.
http://blog.poggs.com/2010/09/converting-osgb36-eastingsnorthings-to-wgs84-longitudelatitude-in-ruby/[Peter Hicks has a blog post showing another way of doing this using just Ruby code] but I couldn't get the 'proj4' gem to install and I didn't fancy shaving that yak when I had another solution which worked. | null | null | [
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] | london-bus-stops-api-mapping-northingeasting-values-to-latlong | https://markhneedham.com/blog/2012/07/30/london-bus-stops-api-mapping-northingeasting-values-to-latlong |
false | 2012-07-08 22:45:41 | Data visualisation: Is 'interesting' enough? | [
"software-development",
"data-visualisation"
] | [
"Software Development"
] | I recently read a blog post by Julian Boot titled 'http://julianboot.com/2012/07/visualisation-without-analysis/[visualisation without analysis is fine]' where he suggests that we can learn things from visualising data in the right way - detailed statistical analysis isn't always necessary.
I thought this was quite an interesting observation because over the past couple of months I've been playing around with ThoughtWorks data and looking at different ways to visualise aspects of the data.
For example the following visualisation shows the strength of colleague relationships between the various ThoughtWorks offices:
image::{{<siteurl>}}/uploads/2012/07/map-2.png[Map 2,600]
We can learn some interesting things from looking at it such as:
* There's a very strong connection between Bangalore and London
* There's also a very strong connection between Porto Alegre and Delhi/Dallas
* If we look a bit closer we can see the connections from China aren't as strong - there's a reasonable link to San Francisco and weaker ones to Australia but not so much to other countries.
If we know more about the domain then we'd know that there are some distributed projects going on between Porto Alegre and the other two places and there are currently quite a lot of people from Bangalore working in London.
Although these observations are quite interesting I'm not sure if they are anything more than that.
In my opinion *the intent of visualisations is to provoke some sort of action* by helping people see something in the data which they couldn't see before.
In Julian's post he refers to a visualisation showing the colours used in movie posters and how there's a trend towards a 50/50 split between orange and blue.
It's really interesting to look at but as Julian points out it's http://www.slashfilm.com/orangeblue-contrast-in-movie-posters/[well known that movie posters make heavy use orange and blue] and presumably at some stage someone has already worked out that these are the two most effective colours.
In my example most people I talked to were able to predict where the strongest connections would be before I showed them the visualisation.
My current thinking is that if a visualisation is only 'interesting' then perhaps I haven't played around with the data enough to find some insight that would actually lead to an outcome/improvement of some sort.
I'm definitely interested in hearing others opinions/experienced in this area though! | null | null | [
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] | data-visualisation-is-interesting-enough | https://markhneedham.com/blog/2012/07/08/data-visualisation-is-interesting-enough |
false | 2012-07-08 21:55:53 | ganglia: Importing gmond Python modules | [
"software-development"
] | [
"Software Development"
] | My colleague http://www.linkedin.com/pub/shodhan-sheth/2/277/287[Shohdan] and I spent a couple of days last week wiring up various monitoring metrics into ganglia and while most of them come built in, we also http://www.mail-archive.com/ganglia-general@lists.sourceforge.net/msg06458.html[found some] https://github.com/ganglia/gmond_python_modules[python based modules that we wanted to use].
Unfortunately we couldn't find any instructions on github explaining how to set them up but after a bit of trial and error we figured it out.
One of the modules that we wanted to use was https://github.com/ganglia/gmond_python_modules/tree/master/diskstat[diskstat] which provides I/O wait time metrics which we couldn't find in the built in modules.
The first thing we needed to do was enable the Python module which comes built in with ganglia:
/etc/ganglia/gmond.conf
[source,text]
----
modules {
module {
name = "core_metrics"
}
...
module {
name = "python_module"
path = "/usr/lib/ganglia/modpython.so"
params = "/usr/lib/ganglia/python_modules/"
}
}
----
As part of this we had to point the module at the folder location where we'd be putting the python modules - the 'params' argument.
In this case we put https://github.com/ganglia/gmond_python_modules/blob/master/diskstat/python_modules/diskstat.py[diskstat.py] into that folder.
[source,text]
----
$ ls -alh /usr/lib/ganglia/python_modules/
total 52K
drwxr-xr-x 2 root root 4.0K 2012-07-06 01:49 .
drwxr-xr-x 3 root root 4.0K 2012-07-03 08:27 ..
-rw-r--r-- 1 mneedham mneedham 15K 2012-07-03 08:28 diskstat.py
-rw-r--r-- 1 root root 12K 2012-07-03 09:00 diskstat.pyc
----
We also needed to add the https://github.com/ganglia/gmond_python_modules/blob/master/diskstat/conf.d/diskstat.pyconf[diskstat.pyconf] configuration file so that ganglia knows which metrics to measure. We were having problems with the 'name_match' wildcard property and ended up listing the metrics individually:
/etc/ganglia/conf.d/diskstat.pyconf
[source,text]
----
modules {
module {
name = 'diskstat'
language = 'python'
param devices {
value = 'sda1'
}
}
}
collection_group {
collect_every = 30
time_threshold = 30
metric {
name = "diskstat_sda1_io_time"
}
...
}
----
The last step was to edit gmond.conf again to pick up the python configuration files:
/etc/ganglia/gmond.conf
[source,text]
----
include ('/etc/ganglia/conf.d/*.conf')
# add this line
include ('/etc/ganglia/conf.d/*.pyconf')
----
There are a bunch of other modules for different tools in the repository and we've followed the above approach for installation of them as well. | null | null | [
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] | ganglia-importing-gmond-python-modules | https://markhneedham.com/blog/2012/07/08/ganglia-importing-gmond-python-modules |
false | 2012-07-23 23:25:00 | R: Mapping a function over a collection of values | [
"r-2"
] | [
"R"
] | I spent a bit of Sunday playing around with R and one thing I wanted to do was map a function over a collection of values and transform each value slightly.
I loaded my data set using the 'Import Dataset' option in http://rstudio.org/[R Studio] (suggested to me by https://twitter.com/roryoung[Rob]) which gets converted to the following function call:
[source,r]
----
> data <- read.csv("~/data.csv", header=T, encoding="ISO-8859")
> data
Column1 InterestingColumn
1 Mark 12.50
2 Dave 100.00
3 John 1,231.00
----
_data.csv_
[source,text]
----
Column1, InterestingColumn
Mark, 12.50
Dave, 100.00
John, 1,231.00
----
+++<cite>+++data+++</cite>+++ is a table with the type '3 obs. of 2 variables' in R Studio.
I was only interested in the values in the 2nd column so I selected those like this:
[source,r]
----
> data$InterestingColumn
[1] 12.50 100.00 1,231.00
Levels: 1,231.00 100.00 12.50
----
I wanted to apply a function over each of the numbers and return a new list containing those transformations.
I initially had a look at doing this with a for loop but it didn't turn out to be as easy as I'd expected and I eventually came across the +++<cite>+++http://stat.ethz.ch/R-manual/R-patched/library/base/html/lapply.html[lapply]+++</cite>+++ function which allows you to apply a function over a list or vector.
[source,r]
----
> values <- data$InterestingColumn
> lapply(values, function(x) 5000 - as.numeric(gsub("\\s|,","", x)))
[[1]]
[1] 4987.5
[[2]]
[1] 4900
[[3]]
[1] 3769
----
We define a function which subtracts the value in the column from 5000 since the CSV file contained derived values and I was interested in the original value.
In order to do that subtraction I needed to cast the value from the CSV file to be numeric which first involved stripping out any spaces or commas using http://stackoverflow.com/questions/5992082/how-to-remove-all-whitespace-from-a-string-in-r[gsub] and then casting the string using as.numeric.
If we want to have a table structure then we can use the 'by' function to do a similar thing:
[source,r]
----
> as.table(by(data$InterestingColumn, data$Column1, function(x) 5000 - as.numeric(gsub("\\s|,","", x))))
data$Column1
Dave John Mark
4900.0 3769.0 4987.5
----
I don't know enough R to know how to keep the data in exactly the same structure as we got it so if anyone can point me in the right direction that'd be cool. | null | null | [
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] | r-mapping-a-function-over-a-collection-of-values | https://markhneedham.com/blog/2012/07/23/r-mapping-a-function-over-a-collection-of-values |
false | 2012-07-23 22:23:10 | neo4j: Graph Global vs Graph Local queries | [
"neo4j",
"cypher"
] | [
"neo4j"
] | A few weeks ago I did a presentation at the ThoughtWorks EU away day on the graph I've been developing using neo4j and I wanted to show who the most connected people in each of our European offices were.
I started with the following cypher query:
[source,text]
----
START n = node(*)
MATCH n-[r:colleagues*1..2]->c, n-[r2:member_of]->office
WHERE n.type? = 'person'
AND (NOT(HAS(r2.end_date)))
AND office.name = 'London - UK South'
AND (NOT(HAS(c.thoughtquitter)))
RETURN n.name, count(distinct(c)) AS connections, office.name
ORDER BY connections DESC
----
The intention is to find all the people who currently work in the London office and find their 1st and 2nd level connections i.e. people they have worked with or people who have worked with people they have worked with.
That gives a rough idea of their reach in the organisation.
I also wanted to exclude anyone who had left, hence the 'thoughtquitter' check.
When I ran this query it took about 15 minutes to complete which immediately made me realise I was doing something wrong although I wasn't sure exactly what.
I showed the query to Michael Hunger and https://gist.github.com/2983831[he pointed out] that it's a graph global query i.e. it probably touches most of the nodes on the graph even though it doesn't necessarily need to.
Michael suggested restructuring the query to start from the London office and work out from there:
[source,text]
----
START office=node:offices(name='London - UK South')
MATCH office<-[r2:member_of]-n-[r:colleagues*1..2]->c
WHERE n.type? = 'person'
AND (NOT(HAS(r2.end_date)))
AND (NOT(HAS(c.thoughtquitter)))
RETURN n.name, count(distinct(c)) AS connections, office.name
ORDER BY connections DESC
----
Now we are starting at the London office and finding all the people who have been members of it at some stage. We go and find their level 2 colleagues and then do the same filters that we had in the first query.
The query time went down to around 45 seconds, presumably because the number of nodes on the graph that we touch has gone down substantially.
The lesson for me from this is that when doing a graph traversal it makes much more sense to *pick specific starting and/or finishing nodes rather than selecting all of them*. | null | null | [
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] | neo4j-graph-global-vs-graph-local-queries | https://markhneedham.com/blog/2012/07/23/neo4j-graph-global-vs-graph-local-queries |