Downloaded 31 times
Uploaded byPayara
High performance java ee with j cache and cdi
The document discusses high-performance Java EE with a focus on microservices architecture, highlighting the use of JCache and CDI in Payara Micro. It outlines the importance of caching in reducing latency and explains key concepts such as caching providers, cache managers, and using annotations for caching results. Additionally, it provides links to further resources and examples related to Payara and JCache.
More Related Content
Similar to High performance java ee with j cache and cdi
![Rapid development tools for java ee 8 and micro profile [GIDS]](https://cdn.slidesharecdn.com/ss_thumbnails/rapiddevelopmenttoolsforjavaee8andmicroprofilegids1-180517150237-thumbnail.jpg?width=640&height=640&fit=bounds)
High performance java ee with j cache and cdi
- 1. High-Performance Java EE withJCache and CDI Steve Millidge – Founder Payara
- 2. Later Today Java EE Microservice platforms- which is best?
- 3. What is aMicroservice? 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 DistributedComputing 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.
- 6. Latency Technology Latency TransferRate 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
- 7.
- 8.
- 9.
- 10. What is PayaraMicro • 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.
- 12.
- 13. JCACHE • Standard JavaAPI 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
- 14.
- 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.
- 20. Payara CDI Extensions @NamedCache(cacheName= "cache”) @Inject Cache cache; @Inject CacheManager cm; @Inject HazelcastInstance instance;
- 21.
- 22.
- 23.
- 24. Summary • Use cachingto 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.
- 27. Kentor are nowsponsoring 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