High performance java ee with j cache and cdi
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JDays talk on JCache and JavaEE on Payara Micro. Code is available on GitHub http://github.com/smillidge/JDays2016.
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High performance java ee with j cache and cdi
- 1. High-Performance Java EE with JCache and CDI Steve Millidge – Founder Payara
- 2. Later Today Java EE Microservice platforms - which is best?
- 3. What is a Microservice? In computing, microservices is a software architecture style in which complex applications are composed of small, independent processes communicating with each other using language-agnostic APIs. Wikipedia
- 4. Fallacies of Distributed Computing 1.The network is reliable. 2.Latency is zero. 3.Bandwidth is infinite. 4.The network is secure. 5.Topology doesn't change. 6.There is one administrator. 7.Transport cost is zero. 8.The network is homogeneous. Wikipedia
- 5. LATENCY
- 6. Latency Technology Latency Transfer Rate DRAM 10s Nanos 120GB/s SSD 0.1ms 600MB/s Hard Disc 10ms 200MB/s 1Gb Ethernet Local : 50 micros Lan Segment: 300 micros Switch 4 ms Within UK 30 ms UK <-> USA 100ms 25 – 30 MB/s
- 10. What is Payara Micro • Small Footprint Java EE Runtime • Supports Java EE Web Profile • Embeds JCache Support • Auto clusters using Hazelcast • Fully Embeddable API • Later today compare with SpringBoot, WildFly Swarm java –jar payara-micro.jar –deploy test.war
- 11. Coding Interlude
- 13. JCACHE • Standard Java API for Caching • JSR107 • API and CDI binding • Supported by Many Cache Providers • Hazelcast, EhCache, Coherence, Infinispan, Apache Ignite • Built in to Payara Server • Uses Hazelcast
- 15. Core Concepts • CachingProvider • Retrieves and closes Cache Managers • CacheManager • Creates and destroys caches • Cache • Contains Objects in Key Value Pairs
- 16. Magic Behind @CacheResult • CDI Interceptor • Obtains CacheManager from CachingProvider • Creates Cache Name (Based on Method) • Looks up Cache in CacheManager • Takes Method Parameter Values and creates Cache Key • Does Cache.get before invoking method • If not in cache invokes method and does cache.put on the result.
- 17. CachingProvider cp = Caching.getCachingProvider(); CacheManager cm = cp.getCacheManager(); MutableConfiguration<String, Stock> config = new MutableConfiguration<>(); config.setStoreByValue(true) .setTypes(String.class,String.class) .setManagementEnabled(true) .setStatisticsEnabled(true); Cache<String, String> cache = cm.createCache(“PizzaCache", config); String key = createKey(); Cache.put(“Key”,methodCall())
- 18. Further CDI • @CacheResult • Caches the result of a method call • @CachePut • Cache a specific method parameter • @CacheRemove • Removes a cache entry based on parameters • @CacheRemoveAll • Removes all entries in the cache
- 19. Coding Interlude
- 20. Payara CDI Extensions @NamedCache(cacheName = "cache”) @Inject Cache cache; @Inject CacheManager cm; @Inject HazelcastInstance instance;
- 24. Summary • Use caching to defeat latency • JCache standard api for caches • Using JCache on Payara is simple • Jcache, Hazelcast and CDI are built in • Build micro-services with distributed caching on Payara Micro • Hazelcast Provides Performance, Resilience and Scalability • JCache also provides Data Grid capabilities like compute and events.
- 25. More Info • https://jcp.org/en/jsr/detail?id=107 • JSR 107 Jcache specification • http://www.payara.fish • Payara information and downloads • http://www.hazelcast.com • Get Hazelcast • https://github.com/smillidge/JDays2016 • Code for this talk • https://github.com/payara/Payara-Examples/tree/master/rest- examples/rest-jcache • Example key value store • https://github.com/payara/Payara-Examples/tree/master/JCache- Examples • Further JCache on Payara Examples
- 26. Questions
- 27. Kentor are now sponsoring for Coffee break WELCOME!
Editor's Notes
- #23: Moves the processing the the data not the other way around! Much more efficient and the processor will likely have a small amount of data associated with it whereas the cache size may be very large!
- #24: Used for Chat Could be used for new trades for a trader or bids or offers on a security Asynchronous notification Management