The document introduces the Infinispan data grid platform. It discusses how Infinispan can be used as a distributed in-memory cache and data grid. It covers key Infinispan features like clustering, persistence, transactions, querying and map-reduce capabilities. It also provides examples of using Infinispan for session clustering and as a state store for Storm processing.

2. Data Grid Platform
인피니스팬 소개와 사용 사례
전 재 홍 / Jaehong Cheon
9 Nov 2013

3. Agenda
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Data Grid
Infinispan
Case Study
References

4. Data Grid

5. Data Grid
 Distributed Cache with persistence
–
–
–
–
–
Performance Boost
Dynamic provisioning
Fast access to data (in memory) - optionally write-through
Elasticity
Fault tolerance
 Data Grid
– Evolution of distributed caches
– Well-known pattern to boost data access performance and
scalability
– Clustered by nature

6. Cache vs. Data Grid
 JSR 107 - Temporary Caching for the Java Platform
– read, write, expiry, write-through, distributed-manner
– JBoss Cache
 JSR 347 - Data Grids for the Java Platform
– query, consistency, map-reducing standard way
– Infinispan

7. Infinispan

8. Infinispan
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Distributed In-memory key/value Data Grid/ Cache
org.infinispan.Cache Interface
Distributed as Library and Server (from 5.3)
High availability
Elastic
Manageable
Open source
DefaultCacheManager manager = new DefaultCacheManager();
// Cache<Integer, Ticket> cache = manager.getCache();
Cache<Integer, Ticket> cache = manager.getCache(“myCache”);

9. Architecture: Library
Library Mode - standalone
Infinispan
App
JVM
JCP-107 Style Cache
just cache with advantages: expiry, j2ee transaction

10. Architecture: Library (Clustered)
 Use as library
Library Mode - clustered
Infinispan
– More features
– Richer APIs
– Programmatic/
Declarative
configuration
– Extendable/
embeddable
– Faster (API call)
App
JVM
Infinispan
App
Cluster
JVM
Infinispan
App
JVM
Application doesn’t know it’s on cluster

11. Architecture: Server
Server Mode - clustered
 Use as server
Infinispan
JVM
App
App
Infinispan
Cluster
JVM
Infinispan
App
JVM
– Remote
 Memcached, R
EST, Hot Rod,
WebSocket
– Data tier shared
by multi-apps
– App doesn’t affe
ct cluster
– Non-java clients
 C++, .NET, Rub
y, Python, Java

12. Architecture: Durability
Durability
 Durability
Infinispan
JVM
Cluster
Infinispan
JVM
Infinispan
JVM
Infinispan
JVM
Cluster
persistence
– By replication
– By persistence
– By replication to
other cluster
(topology aware)

13. Infinispan: Key Features
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Transactions
Persistence
Querying
Map/Reduce

14. Clustering
 Peer-to-Peer
– No central master, no single point of failure, no single bottle
neck
 JGroups
– Reliable multicast communication library, nodes discovery,
sharing data, performing cluster scaling
 Consistent Hash
– Hash based data distribution
– How it finds where data locates
 Linear in nature: throughput, capacity
 Cluster Mode

15. Cluster Mode: Replication(복제)
Replication Mode
cache.put(K,V)
Cache on
Server 2 K,V
Cache on
Server 1 K,V
Cache on
Server 3 K,V
Cache on
Server 4 K,V

16. Cluster Mode: Distribution(분산)
Distribution Mode(numOwners=2)
cache.put(K,V)
Cache on
Server 1 K,V
cache.get(K,V)
Cache on
Server 2 K,V
Cache on
Server 3
Cache on
Server 4

17. Cluster Mode: Invalidation(무효화)
Invalidation Mode
cache.put(K,V2)
Cache on
Server 1 K,V2
Cache on
Server 2 K,V
Cache on
Server 3
Cache on
Server 4
DB

18. Configuration: Declarative
<global>
<transport clusterName="OperationsCacheCluster">
<properties>
<property name="configurationFile“
value="jgroups-tcp.xml" />
</properties>
</transport>
<globalJmxStatistics enabled="true" />
</global>
<default>
<clustering mode="replication">
<sync />
</clustering>
</default>
<namedCache name="secureLayerContextCache">
<eviction strategy="LIRS" maxEntries="2000" />
<expiration lifespan="600000" />
<loaders passivation="true" shared="false" preload="false">
<fileStore fetchPersistentState="true" purgerThreads="3"
purgeSynchronously="true" ignoreModifications="false"
purgeOnStartup="false" location="${java.io.tmpdir}">
<async />
</fileStore>
</loaders>
</namedCache>
 Eviction(제거)
 Expiration(만료)
– on cache
– on key

19. Configuration: Programmatic
 Configuration Based on XML
DefaultCacheManager manager = new DefaultCacheManager("infinispan-config.xml");
Configuration baseConf = manager.getDefaultCacheConfiguration();
Configuration config =new ConfigurationBuilder().
read(baseConf).expiration().lifespan(50000).build();
manager.defineConfiguration(programmaticCache, config);
Cache<String, String> cache = manager.getCache("secureLayerContextCache");
 Programmatic configuration
DefaultCacheManager manager = new DefaultCacheManager();
Configuration config = new ConfigurationBuilder()
.loaders()
.shared(false).passivation(false).preload(false)
.addCacheLoader()
.cacheLoader(new JdbcStringBasedCacheStore())
.addProperty("connectionFactoryClass","org.infinispan.loaders.jdbc
.connectionfactory.ManagedConnectionFactory")
.addProperty("datasourceJndiLocation", "java:jboss/datasources/MySQLDS")
.addProperty("userName", "root")
.addProperty("password", "admin")
.async().threadPoolSize(10).build();
manager.defineConfiguration(programmaticCache, config);
Cache<String, String> cache = manager.getCache("secureLayerContextCache");

20. Listener
 Listener on CacheManager
– Node join/ leave, Cache start/ stop
 Cache
– CRUD, Eviction/ Passivation
– Rehashing/ Transaction completion
@Listener
public class SimpleListener {
@CacheEntryCreated
public void dataAdded(CacheEntryCreatedEvent event) {
if (event.isPre()) {
System.out.println("Before creating the entry:" + event.getKey());
} else {
System.out.println("After creating the entry:" + event.getKey());
}
…
}
DefaultCacheManager manager = new DefaultCacheManager();
manager.addListener(listener);
Cache<Integer, Ticket> cache = manager.getCache();
cache.addListener(listener);

21. Asynchronous APIs
 put() and get() and remove() are synchronous
– They wait for RPC and Locks (and maybe cache stores)
 The asynchronous API returns NotifyingFuture
– Events are fired on completion of the operation
NotifyingFuture<String> future = c.removeAsync(key);
future.attachListener(new FutureListener<String>() {
@Override
public void futureDone(Future<String> future) {
try {
future.get();
System.out.printf ("The entry stored under key %s has been removed.", key);
} catch (ExecutionException e) {
System.out.printf("Failed to remove %s!", key);
}
}
});

22. Key Features: Persistence
 Used for durability
 Cache Store - Persistence Storage
– File System, Cloud, Remote, JDBC, JPA, LevelDB, Cassandra,
– HBase, MongoDB, BerkeleyDB, JDBM, REST

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CacheLoader, CacheStore(CacheWriter from 6.0)
Write-through, write-behind
Passivation, activation
Store chain
Shared store

23. Persistence: Passivation/Activation
 Passivation – write to persistence when evicted from
memory (default)
 Activation – read to memory and remove from
persistence

24. Key Features: Transactons
 JTA Transaction Support
 Support MVCC (Multi-Versioned Concurrency Control)
 Isolation Level
– READ_COMMITTED (default)
– REPEATABLE_READ
 Locking Mode
– Optimistic Lock (default)
– Pessimistic Lock

25. Key Features: Query
 JBoss Hibernate Search + Apache Lucene
 Query on values
 Index Directory
– Lucene Directory: in-memory, file system, JDBC
– Infinispan Directory
 Distributed queries

26. Distributed Execution
 Executes codes on distributed nodes
 Through a standard JDK ExecutorService interface
 Use DistributedCallable extends
java.util.concurrent.Callable

27. Key Features: Map/Reduce
 Based on Distributed Execution Framework
 Mapper, Reducer, Collator, MapReduceTask
public interface Mapper<KIn, VIn, KOut, VOut> extends Serializable {
void map(KIn key, VIn value, Collector<KOut, VOut> collector);
}
public interface Reducer<KOut, VOut> extends Serializable {
VOut reduce(KOut reducedKey, Iterator<VOut> iter);
}
public interface Callator<KOut, Vout, R> {
R collate(Map<KOut, VOut>);
}

28. Client

29. Monitoring/Management
 Mbeans on CacheManager, Cache
 RHQ (JON, JBoss Operations Network)

30. Spring Integration
 Infinispan provider for Spring cache abstraction
 infinispan-spring.jar
<cache:annotation-driven cache-manager="operationCacheManager"/>
<bean id="operationCacheManager"
class="org.infinispan.spring.provider.SpringEmbeddedCacheManagerFactoryBean"
p:configurationFileLocation="classpath:infinispan-config.xml" />
@Cacheable(value = "secureLayerContextCache", key="#contextId")
public SecureLayerContext getSecureLayerContext(String contextId) {
return null;
}
@CachePut(value = "secureLayerContextCache", key="#contextId")
public SecureLayerContext setSecureLayerContext(String contextId,
SecureLayerContext secureLayerContext) {
return secureLayerContext;
}
@CacheEvict(value = "secureLayerContextCache", key="#contextId")
public void removeSecureLayerContext(String contextId) {
// Intentionally blank
}

31. Infinispan on Jboss AS 7
 Used for session clustering, Hibernate L2 cache
 Application gets cache with JNDI name using
@Resource
 XML Configuration in server configuration file
<cache-container name="web" aliases="standard-session-cache" default-cache="repl">
<transport lock-timeout="60000" />
<replicated-cache name="repl" mode="ASYNC" batching="true">
<file-store />
</replicated-cache>
</cache-container>

32. JDG


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Red Hat JBoss Data Grid
Infinispan-based
JON
All the benefits of
subscription, including
Red Hat world class
support and services

33. Radar Gun
 Data grid and distributed cache benchmarking
framework
 Built to test Infinispan and other distributed data grid
platforms
 https://github.com/radargun/radargun

34. Case Study

35. Case Study: Session Clustering
 Store session information into cache
in Spring MVC Interceptor

36. Case Study: Session Clustering
Store session information into cache
in Spring Security Filter
-
-
SecurityContextRepository를 구현한
CacheSecurityContextRepository 작성
loadContext, saveContext를 오버라이드하여
인피니스팬 사용
Spring cache abstraction 사용

37. Use Cases: Storm Processing State Store
Infinispan Data Grid

38. References
www.acornpub.co.kr/book/infinispan
infinispan.org
blog.infinispan.org
infinispan-ko.blogspot.com
facebook.com/groups/infinispan
red.ht/data-grid
tedwon.com/display
/dev/Infinispan+Data+Grid
 cbcpascal.blogspot.kr
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39. jbugkorea.org