Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Infinispan Data Grid Platform

2,313 views

Published on

JBUG 2013 10th Anniversary Conference

Published in: Technology, Education
  • Be the first to comment

Infinispan Data Grid Platform

  1. 1. Data Grid Platform 인피니스팬 소개와 사용 사례 전 재 홍 / Jaehong Cheon 9 Nov 2013
  2. 2. Agenda     Data Grid Infinispan Case Study References
  3. 3. Data Grid
  4. 4. 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
  5. 5. 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
  6. 6. Infinispan
  7. 7. Infinispan        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”);
  8. 8. Architecture: Library Library Mode - standalone Infinispan App JVM JCP-107 Style Cache just cache with advantages: expiry, j2ee transaction
  9. 9. 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
  10. 10. 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
  11. 11. 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)
  12. 12. Infinispan: Key Features     Transactions Persistence Querying Map/Reduce
  13. 13. 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
  14. 14. 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
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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");
  19. 19. 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);
  20. 20. 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); } } });
  21. 21. Key Features: Persistence  Used for durability  Cache Store - Persistence Storage – File System, Cloud, Remote, JDBC, JPA, LevelDB, Cassandra, – HBase, MongoDB, BerkeleyDB, JDBM, REST      CacheLoader, CacheStore(CacheWriter from 6.0) Write-through, write-behind Passivation, activation Store chain Shared store
  22. 22. Persistence: Passivation/Activation  Passivation – write to persistence when evicted from memory (default)  Activation – read to memory and remove from persistence
  23. 23. 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
  24. 24. Key Features: Query  JBoss Hibernate Search + Apache Lucene  Query on values  Index Directory – Lucene Directory: in-memory, file system, JDBC – Infinispan Directory  Distributed queries
  25. 25. Distributed Execution  Executes codes on distributed nodes  Through a standard JDK ExecutorService interface  Use DistributedCallable extends java.util.concurrent.Callable
  26. 26. 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>); }
  27. 27. Client
  28. 28. Monitoring/Management  Mbeans on CacheManager, Cache  RHQ (JON, JBoss Operations Network)
  29. 29. 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 }
  30. 30. 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>
  31. 31. JDG     Red Hat JBoss Data Grid Infinispan-based JON All the benefits of subscription, including Red Hat world class support and services
  32. 32. Radar Gun  Data grid and distributed cache benchmarking framework  Built to test Infinispan and other distributed data grid platforms  https://github.com/radargun/radargun
  33. 33. Case Study
  34. 34. Case Study: Session Clustering  Store session information into cache in Spring MVC Interceptor
  35. 35. 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
  36. 36. Use Cases: Storm Processing State Store Infinispan Data Grid
  37. 37. 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       
  38. 38. jbugkorea.org

×