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BIG DATA - FAST DATA
USING MAPREDUCE IN HAZELCAST
Source:
www.hazelcast.com
Christoph Engelbert(@noctarius2k)
8+ years of JavaWeirdoness
Performance, GC, traffic topics
Apache Committer
Gaming, TravelManagement, ...
CastMapRMapReduce for Hazelcast3
www.hazelcast.com
TOPICS
Hazelcast
Distributed Computing
Map &Reduce
Demonstration
Questions
www.hazelcast.com
HAZELCAST
PICKIN' DIAMONDS
www.hazelcast.com
WHAT IS HAZELCAST?
In-MemoryData-Grid
DataPartioning(Sharding)
JavaCollections Implementation
Distributed ComputingPlatform
www.hazelcast.com
WHY HAZELCAST?
Automatic Partitioning
FaultTolerance
Sync /Async Backups
FullyDistributed
In-Memoryfor HighestSpeed
www.hazelcast.com
WHY HAZELCAST?
www.hazelcast.com
WHY DISTRIBUTED COMPUTING?
www.hazelcast.com
WHY IN-MEMORY
COMPUTING?
www.hazelcast.com
TREND OF PRICES
DataSource:
www.hazelcast.com
SPEED DIFFERENCE
DataSource:
www.hazelcast.com
DISTRIBUTED
COMPUTING
OR
MULTICORE CPU ON STEROIDS
www.hazelcast.com
THE IDEA OF DISTRIBUTED COMPUTING
Source:
www.hazelcast.com
THE BEGINNING
Source:
www.hazelcast.com
MULTICORE IS NOT NEW
Source:
www.hazelcast.com
CLUSTER IT
Source:
www.hazelcast.com
SUPER COMPUTER
Source:
www.hazelcast.com
CLOUD COMPUTING
Source:
www.hazelcast.com
MAP & REDUCE
THE BLACK MAGIC FROM PLANET GOOGLE
www.hazelcast.com
USE CASES
LogAnalysis
DataQuerying
Aggregation
Distributed Sort
ETL (ExtractTransform Load)
and more...
www.hazelcast.com
BASIC STEPS
Read
Map /Transform
Reduce
www.hazelcast.com
FULL STEPS
Read
Map /Transform
Combine
Group /Shuffle
Reduce
Collate
www.hazelcast.com
MAPREDUCE WORKFLOW
www.hazelcast.com
Dataare mapped /transformed in asetof key-value pairs
SOME PSEUDO CODE (1/3)
MAPPING
map(key:String,document:String):Void->
foreachw:Wordindocument:
emit(w,1)
www.hazelcast.com
Multiple values are combined to an
intermediate resultto preserve traffic
SOME PSEUDO CODE (2/3)
COMBINING
combine(word:Word,counts:List[Int]):Void->
emit(word,sum(counts))
www.hazelcast.com
Values are reduced /aggregated to the requested result
SOME PSEUDO CODE (3/3)
REDUCING
reduce(word:String,counts:List[Int]):Int->
returnsum(counts)
www.hazelcast.com
FOR MATHEMATICIANS
Process: (KxV)*→(LxW)* ⇒ [(l1,w1),…,(lm,wm)]
Mapping: (KxV) →(LxW)* ⇒ (k,v) →[(l1,w1),…,(ln,wn)]
Reducing: LxW*→X* ⇒ (l,[w1,…,wn]) →[x1,…,xn]
www.hazelcast.com
MAPREDUCE PROGRAMS IN
GOOGLE SOURCE TREE
Source:
www.hazelcast.com
DEMONSTRATION
www.hazelcast.com
@noctarius2k
@hazelcast
http://www.sourceprojects.com
http://github.com/noctarius
THANK YOU!
ANY QUESTIONS?
Images:AllimagesarelicensedunderCreativeCommons
www.hazelcast.com

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