ehcache
- 网络二级缓存
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Ehcache is a well known open source Java cache , especially , if one has a background with using Hibernate .
Ehcache是众所周知的开源Java缓存,尤其被使用过Hibernate的用户所熟知。
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One example is Ehcache Search , which provides Ehcache users the ability to search a cache like you can a database .
比如EhcacheSearch,它能让Ehcache用户在缓存里进行搜索,就像使用数据库一样。
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We went on to discuss the technical details of how Ehcache solution helps with scaling an application that needs to access a database .
我们还谈到了一些技术细节,比如Ehcache是如何帮助那些需要访问数据库的应用提高可伸缩性的。
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It supports distributed caching as a Hibernate second-level cache , as well as directly through the Ehcache API .
它支持把分布式缓存作为Hibernate的第二级缓存,也可以直接使用EhcacheAPI。
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The enterprise version of this feature , which requires Enterprise Ehcache EX or FX , is used to search across a distributed cache .
这个功能的企业版本需要EhcacheEX或FX的企业版,可用于分布式缓存的搜索。
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Ehcache , like most Java cache implementations , has a local in-memory replication mode which provides some significant performance advantages over a purely distributed version .
和大多数Java缓存实现一样,Ehcache有一个本地内存复制模式,这种模式和纯粹的分布式版本相比具有显著的性能优势。
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Ehcache can be used to better decouple application scalability from underlying databases , making the applications easier to scale generally , and especially in cloud deployments .
Ehcache可以将应用从底层数据库中解放出来,提高其可伸缩性并简化应用的扩展(尤其在云部署环境中)。
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The write-behind caching feature , supported as part of the new Ehcache API , works with asynchronous batching of updates to the database .
后写式缓存特性作为新EhcacheAPI的一部分,适用于对数据库的异步批量更新。
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Greg compared use cases for NoSQL and cache solutions like Ehcache which in many respects try to solve the same problems of scale , but take different approaches .
Greg对NoSQL和Ehcache等缓存解决方案进行了对比,Ehcache这些缓存解决方案在很多方面都试图解决同样的伸缩性问题,只是采用了不同的方式。
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Ehcache team is preparing a white paper with the latest performance results and anyone interested in obtaining a copy should contact them to get a copy when it 's complete .
Ehcache团队正准备就最新的性能结果起草一份白皮书,对此感兴趣的读者可以联系他们以便在完成时发给你一份。
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He also said that in testing with the Spring Pet Clinic reference application , clustered Ehcache yielded higher throughput and lower latency than a database for read-only and read-mostly data access .
Ari还说到,在测试SpringPetClinic参考应用时发现集群的Ehcache要比数据库(基本上都是只读访问)拥有更高的吞吐量和更低的延时。
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Ari said that Ehcache can serve as a local cache that the developers can use to boost the performance of single node or multi-node applications where inconsistent data in the cache is acceptable .
Ari说Ehcache可以作为本地缓存,开发者可以使用其提升单结点或多结点应用的性能(在这种情况下,缓存中的数据不一致性是可以接受的)。