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Immutability, 
or Putting the Dream Machine to Work
Watch the video with slide 
synchronization on InfoQ.com! 
http://www.infoq.com/presentations 
/om-clojurescript 
InfoQ.com: News & Community Site 
• 750,000 unique visitors/month 
• Published in 4 languages (English, Chinese, Japanese and Brazilian 
Portuguese) 
• Post content from our QCon conferences 
• News 15-20 / week 
• Articles 3-4 / week 
• Presentations (videos) 12-15 / week 
• Interviews 2-3 / week 
• Books 1 / month
Presented at QCon New York 
www.qconnewyork.com 
Purpose of QCon 
- to empower software development by facilitating the spread of 
knowledge and innovation 
Strategy 
- practitioner-driven conference designed for YOU: influencers of 
change and innovation in your teams 
- speakers and topics driving the evolution and innovation 
- connecting and catalyzing the influencers and innovators 
Highlights 
- attended by more than 12,000 delegates since 2007 
- held in 9 cities worldwide
The trie memory scheme is inefficient for small memories, but it 
be- comes increasingly efficient in using available storage space as 
memory size increases. The attractive features of the scheme are 
these: 1) The retrieval process is extremely simple. Given the 
argument, enter the standard ini- tial register with the first 
character, and pick up the address of the second. Then go to the 
second register, and pick up the address of the third, etc. 2) If two 
arguments have initial characters in common, they use the same 
storage space for those characters. 
-J.C.R. Licklider, "Man-Computer Symbiosis" 1960
Model-View-Controller
๏ first formulated by Trygve Reenskaug 
Adele Goldberg and others at Xerox 
PARC in 1979 
๏ long shadow, the basic concepts still 
prevalent today.
๏ At a very abstract level MVC is a sound 
separation of concerns 
๏ Implementations leave much to be 
desired 
๏ Stateful objects everywhere
Functional Programming and Data 
• immutable values, not mutable objects 
• “change” returns a new value, leaving the old one unmodified 
• they’re persistent 
• they’re fast
Simple example: Linked List 
X
Simple example: Linked List 
Y X
Simple example: Linked List 
X 
Z 
Y
Simple example: Linked List 
X 
Z 
Y 
structural sharing
Sharing structure 
• space efficiency 
• computational efficiency – avoids copying
Phil Bagwell 
• Array Mapped Trie 
• Hash Array Mapped Trie
Bitmapped Vector Trie 
• data lives in the leaves 
• e.g. prefix tree used for string lookup 
• bitwise trie
Persistent Vector
Persistent Vector
Persistent Vector
Persistent Vector
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
getindex
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
0b01101010
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
0b01101010
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
0b01101010
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
0b01101010
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
0b01101010
Persistent Vector 
assoc
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111
Persistent Vector 
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 
104 105 foo 107
Persistent Vector 
Length 4 internal vectors?
Persistent Vector 
32 
From Bagwell, Rompf 2011
327
34,359,738,368 
elements
demo
Om
f(D0) = V0
f(D1) = V1
diff(V0,V1) = CHANGES
demo
Persistent Data Structures … ROCK
Questions?
Watch the video with slide synchronization on 
InfoQ.com! 
http://www.infoq.com/presentations/om-clojurescript

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