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type Wifi =
| Cook1
| Cook2
| Cook3
with
member wifi.Password =
"Simcorp1"
Maslow’s Heircharchy of Needs
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
LAMP Stack (State in DB) 3-Tier (State in memory & DB)
Source: http://blog.codinghorror.com/the-infinite-space-between-words/
Greencodds Tenth Rule Of Programming
[Google found that] the page with 10 results took 0.4 seconds to generate. The page
with 30 results took 0.9 seconds. Half a second delay caused a 20% drop in traffic.
Half a second delay killed user satisfaction.
In A/B tests, [Amazon] tried delaying the page in increments of 100 milliseconds
and found that even very small delays would result in substantial and costly drops
in revenue.
Source: http://blog.codinghorror.com/performance-is-a-feature/
http://yourdatafitsinram.com/
Source: http://trelford.com/blog/post/C2b2b-vs-C-vs-F-vs-Haskell.aspx
 Micro
 Fast
 Simple
 Quick(*)
 Reactive
 Web
 Scalable
 Mongo
 Framework
 Lite
 Light
 Domain
 Extensions
 Cache
 XML
 ORM
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
type 'a list =
| Empty
| Node of head:'a * tail:'a list
6 2 7 3 nil
quicksort :: (Ord a) => [a] -> [a]
quicksort [] = []
quicksort (x:xs) =
let smallerSorted = quicksort [a | a <- xs, a <= x]
biggerSorted = quicksort [a | a <- xs, a > x]
in smallerSorted ++ [x] ++ biggerSorted
* well it’s short and a sort but it’s not
quick!
Source: http://learnyouahaskell.com/recursion
“people are too puritanical about purity”
- Jon Harrop on Quora
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
LinqOptimizer compiles declarative
LINQ queries into fast loop-based
imperative code. The compiled code
has fewer virtual calls and heap
allocations, better data locality and
speedups of up to 15x
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
Reactive Extensions (C#) F# Observable module Nessos Streams
let rxValue =
data
.ToObservable()
.Where(fun x -> x%2L = 0L)
.Select(fun x -> x * x)
.Sum()
.ToEnumerable()
|> Seq.head
// Real: 00:00:02.895,
CPU: 00:00:02.843,
GC gen0: 120, gen1: 0, gen2: 0
let obsValue =
data
|> Observable.ofSeq
|> Observable.filter (fun x -> x%2L = 0L)
|> Observable.map (fun x -> x * x)
|> Observable.sum
|> Observable.first
// Real: 00:00:00.479,
CPU: 00:00:00.468,
GC gen0: 18, gen1: 0, gen2: 0
let streamValue =
data
|> Stream.ofArray
|> Stream.filter (fun x -> x%2L =
0L)
|> Stream.map (fun x -> x * x)
|> Stream.sum
// Real: 00:00:00.130,
CPU: 00:00:00.109,
GC gen0: 0, gen1: 0, gen2: 0
 Be scientific
 Do test multiple implementations
 Don’t set out to confirm your bias
 Instrument and profile your code
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
Source: http://theburningmonk.com/benchmarks/
HybridDictionary attempts to optimize
Hashtable.
It implements a linked list and hash
table data structure, switching over to
the second from the first when the
number of elements increases past a
certain threshold.
https://www.simple-talk.com/blogs/2011/10/21/some-non-generic-collections/
Source: http://www.timestored.com/kdb-guides/kdb-database-intro
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
String representation Insert Plan Length vs Median Time
Source: http://www.ibm.com/developerworks/library/j-ropes/
 A linked-list of arrays
 A tree of arrays
[the B+ tree] is one of the most beautiful and useful
inventions of computer science, with significance to
civilization rivalling the invention of the arch,
double entry accounting, and arabic numerals
Source: http://bplusdotnet.sourceforge.net/
Phillip Trelford, @ptrelford
Copenhagen 2015, @SimCorp
Prefer safety
Immutable data structures
Or hide state behind immutable interface
Assume nothing – profile everything
Be pragmatic
 Twitter
 @ptrelford
 Blog
 http://trelford.com/blog
 Unrolled linked list in OCaml
 http://github.com/ptrelford/Unrolled
Beyond lists - Copenhagen 2015

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Beyond lists - Copenhagen 2015

Editor's Notes

  1. Selecting appropriate data structures is key to your application's performance. In this session we'll go beyond lists to find orders of magnitude performance improvements. Expect plenty of live demos and anecdotes gathered over decades of financial and AAA video game development.
  2. https://en.wikipedia.org/wiki/Create,_read,_update_and_delete
  3. http://blog.codinghorror.com/the-infinite-space-between-words/
  4. http://c2.com/cgi/wiki?GreencoddsTenthRuleOfProgramming "Every sufficiently complex application/language/tool will either have to use a database or reinvent one the hard way.“ http://c2.com/cgi/wiki?GreenspunsTenthRuleOfProgramming Any sufficiently complicated C or Fortran program contains an ad-hoc, informally-specified, bug-ridden, slow implementation of half of CommonLisp.
  5. http://blog.codinghorror.com/performance-is-a-feature/
  6. http://aadrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html https://www.chrisstucchio.com/blog/2013/hadoop_hatred.html
  7. http://learnyouahaskell.com/recursion
  8. http://www.quora.com/What-are-the-novel-ideas-and-profound-insights-in-the-design-of-the-OCaml-programming-language/answer/Jon-Harrop-2?srid=OmD6 http://teensleuth.com/blog/?p=28535
  9. http://blog.jetbrains.com/dotnet/2009/12/11/resharper-50-preview-loops-2-linq/
  10. http://nessos.github.io/LinqOptimizer/
  11. http://nessos.github.io/Streams/ http://arxiv.org/pdf/1406.6631v2.pdf?
  12. http://theburningmonk.com/benchmarks/
  13. https://www.simple-talk.com/blogs/2011/10/21/some-non-generic-collections/
  14. http://www.timestored.com/kdb-guides/kdb-database-intro
  15. https://en.wikipedia.org/wiki/Rope_(data_structure) http://www.ibm.com/developerworks/library/j-ropes/
  16. http://codereview.stackexchange.com/questions/41436/unrolled-linked-list
  17. https://en.wikipedia.org/wiki/B-tree