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This presentation describes what the project is and focuses on the main scenarios in which the audience can make use of it. Mircea Markus, project’s lead and co-founder, will give you an overview of the Infinispan ecosystem from which you’ll take home: - what Infinispan is - the main use cases in which you can benefit from it - its key features and differentiators in the data grid wold
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Saturday, 23 March 13
Infinispan - the open source data grid platform
•Mircea Markus
Saturday, 23 March 13
Who’s this guy?
•JBoss clustering: JBossCache, JGroups•Lead Infinispan•JSR-350 •@infinispan/@mirceamarkus•infinispan.blogspot.com
Saturday, 23 March 13
Agenda•What is Infinispan•API•Key features•4 use cases
Saturday, 23 March 13
What is Infinispan?•Distributed, in memory, data structure•Highly available•Elastic•Open source
Saturday, 23 March 13
Distributed data structure
Storage Engine (RAM
+Overflow)
Transaction
Query
Map/Reduce
Monitoring
Transport (JGroups)
Memcached Hotrod Rest
Node (JVM process)
Storage Engine (RAM
+Overflow)
Transaction
Query
Map/Reduce
Monitoring
Transport (JGroups)
Memcached Hotrod Rest
Node (JVM process)
TCP/UDP
RemoteClient
TCPTCP
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High availability•Memory is volatile•Make redundant copies
•Total replication (Replication Mode)•Partial replication (Distribution Mode)
•numOwners•Topology changes
•Node will crash!•Re-arrange state
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Elasticity•Expect
•Node additions•Node removals
•Topology changes •are totally consistent•do not "stop the world"
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API•Key-value store
•java.util.concurrent.ConcurrentHashMap•JSR-107 compliant•CDI support
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Key features•Transactions•Persistence•Map/Reduce•Querying
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Transactions•JTA transactions support
•XA or Synchronization based enlistment•recovery!
•Local transactions (batching)•Transactional modes
•optimistic •pessimistic
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Persistence/Cache Store•Used for
•durability•increased storage•warm caches
•Various implementations•jdbc, bdbje, file, cloud, remote/infinispan, cassandra
•Extensible
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Map/Reduce example
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Map/Reduce
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Map/Reduce
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Querying•Based on Hibernate Search/Lucene•Objects in the grid are indexed
•index management
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Use cases•Local cache•Cluster of caches•Autonomous data store
•access protocols•Geographical failover
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Local cache
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Features of a local cache•Eviction•Expiry•Write through, write behind•Preloading•Notifications•Statistics
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Local cache not good enough...
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Cluster of caches
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Some limitations still•Client is affected by cache topology changes•Shared resources•Tier management
•incompatible JVM tuning•security•garbage collection
•Non-JVM clients
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Cache servers
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Client/Server protocols•REST•Memcached•Hotrod
•proprietary•java, C#, python, ruby•others on the way..
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Geographic failover
Infinispan Node
Infinispan Node
Infinispan ClusterInfinispan
Node
London
Infinispan Node
Infinispan Node
Infinispan ClusterInfinispan
Node
New York(Active)
Infinispan Node
Infinispan Node
Infinispan ClusterInfinispan
Node
San Francisco
Migrate Data
Migrate Data
Migrate Data
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JBoss Data Grid (JDG)
•JBoss Data Grid•Build on top of Inifinispan•http://www.jboss.com/edg
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Thank you!•infinispan.blogspot.com•@infinispan•mirceamarkus.blogspot.com•@mirceamarkus
Saturday, 23 March 13
