ehcache vs memcached

ReasonOne of the reasons for today's slow access to a project is that it is slow to read Oracle, the amount of data is small, the configuration table is ignored, and the business table is 380,000 records. One solution is to use the cache.So the question is, which caching framework is good?EhcacheThe project has been using it, but the version may be a bit low. It's really handy, just get a jar bag on the line. Java's preferred.MemcachedWrite in C, more trouble, to install. The data that is integr

Java advanced software architect practical video tutorial Spring + Mybatis + SpringMVC + Ehcache + Memcached + Redis + Nginx + Varnish + ActiveMQ + Keepalived + MySQL + MongoDB, keepalived Java high-level software architect Stage 1 video tutorial Thunder downloads Baidu cloud Section 001st: overall course overviewSection 002nd: module-based and project-based ManagementSection 003rd: Merge War packages for m

sub-table realization idea-1105th: Horizontal sub-table realization idea-1Section 106th: Horizontal sub-table code implementation-1Section 107th: Horizontal sub-table code implementation-2Section 108th: MySQL Fabric-1Section 109th: MySQL Fabric-2Section 110th: MySQL master-slave replicationSection 111th: Galera mysql cluster-1Section 112th: Galera mysql cluster-2Section 113th: Ha and load balancing for MySQLSection 114th: SQL Optimization methodSection 115th: MySQL server configuration optimiza

redis to find the longest free time, which I think I have 1 million records, it casually find three and began to delete. Good, clean up the mood again to see the 3.0 version of the improvement: now every random five records, inserted into a length of 16 in the queue of idle time, and then delete the line of the Pai, and then find five out, continue to try to insert the queue ... Well, a little bit, at least two times at random, at least not only in a random five to find the longest in the artic

local server, one to the other server. This scheme has high throughput and low latency, but requires the introduction of an XA transaction manager, with two cache managers writing two data that results in a large write overhead, and the write latency over the WAN can still cause the system to respond to bottlenecks. The third scenario: Messaging based (AMQ) replication. In this scenario, batch processing and queues are introduced to mitigate the bottleneck of the WAN, while processing read req

read business. With higher throughput and lower latency, the separation of read/copy guarantees a complete message distribution guarantee and conflict handling, but it is more complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretation of Oscache, where the "Web Support" secti

the node read business. With higher throughput and lower latency, the separation of read/copy guarantees a complete message distribution guarantee and conflict handling, but it is more complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretation of Oscache, where the "Web Suppo

read business. With higher throughput and lower latency, the separation of read/copy guarantees a complete message distribution guarantee and conflict handling, but it is more complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretation of Oscache, where the "Web Support" secti

complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretation of Oscache, where the "Web Support" section has detailed analysis of the principles.Finally, on the performance of Ehcache, the following figure is from Ehcache's founder,

limit is reached, Ehcache will clean up the memory according to the specified policy. The default policy is LRU. You can set it to FIFO or LFU. Clearonflush: If the maximum amount of memory is cleared. Memcache:Memcache is a set of distributed cache systems　　　　By maintaining a unified, huge hash table in memory, it can be used to store data in a variety of formats, including images, videos, files, and the results of database retrieval. The simple

more complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretation of Oscache, where the "Web Support" section has detailed analysis of the principles.Finally, on the performance of Ehcache, the following figure is from Ehcache's foun

impact of the WAN deterioration on the node read business. With higher throughput and lower latency, the separation of read/copy guarantees a complete message distribution guarantee and conflict handling, but it is more complex and requires a message bus.There are some Ehcache features that are less or more marginalized, not mentioned, such as support for JMX, and others with similar features and descriptions, such as Web support, see my interpretati

, when Ehcache and hibernate integration, can be queried out of the collection of objects into memory, next time if you query this query, will return this data collection directly from memory, no need to query the database, at the same time, you can configure the cache refresh mode, there are several modes of read-only,nonstrict-read-write,read-write, Where read-only indicates that the cache is not refreshed (to refresh only restart), Nonstrict-read-w

Copyright NOTICE: This article is the original article, without the owner's permission to reprint. recently, the project team used these three caches and went to their respective authorities to see if they were really different. Today deliberately summed up the advantages and disadvantages of each cache, for reference only. Ehcache Widely used in Java projects. It is an open source, designed to increase the cost of the data from the RDBMS to take out

To address this problem:Net. SF. ehcache. config. configurator # configure: No ConfigurationFound. Grouping ing ehcache from ehcache-failsafe.xml found inClasspath:Jar: file:/E:/ytools/ssh/tools/Eclipse/myeclipse % 206.0/Eclipse/plugins/com.genuitec.org. hibernate. eclipse_6.0.1.zmyeclipse60316710/myeclipse-data/3.0/lib/ehcac