Discover Top Posts Tagged with #ehcache

Using Ehcache instead of Mybatis internal cache

Ehcache is a very robust in-memory cache. In production, Ehcache could be better solution for Mybatis cache (More on Mybatis internal cache)

How to use Ehcache as Mybatis cache (1st, 2nd cache)

Import required library (mybatis-ehcache, ehcache)

(Optional) Generate ehcache config (ehcache.xml)

Declare 3rd party cache inside mybatis mapper xml

1. Import required library

To use Ehcache, mybatis-ehc…

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#ehcache #Mybatis

ehcache - net.sf.ehcache.util.UpdateChecker - Update check failed

ehcache 로드중에 아래와 같은 오류 발생시 해결법

DEBUG net.sf.ehcache.util.UpdateChecker - Update check failed: java.io.IOException: Server returned HTTP response code: 403 for URL: http://www.terracotta.org/kit/reflector?pageID=update.properties&patch=UNKNOWN&tc-product=ehcache-core+2.10.2&tc-version=2.10.2&uptime-secs=1&kitID=ehcache.default&jvm-version=1.8.0_66&os-name=Mac+OS+X&id=2130706433&source=ehcache-core&jvm-name=Java+HotSpot%28TM%29+64-Bit+Server+VM&platform=x86_64

해결

In the ehcache.xml with <ehcache updateCheck="false"> ...

With a system property: -Dnet.sf.ehcache.skipUpdateCheck=true

#java #ehcache #error

Specifies API and semantics for temporary, in memory caching of Java objects, including object creation, shared access, spooling, invalidation, and consistency across JVM's.

JCache is a common API for using caching in Java.

#java #jcache #cache #ehcache #jvm

EHCache and Spring, Terracotta Integration reference

Caching the result of methods using Spring and EHCache

http://opensource.atlassian.com/confluence/spring/display/DISC/Caching+the+result+of+methods+using+Spring+and+EHCache

AOP Cache

http://opensource.atlassian.com/confluence/spring/display/DISC/AOP+Cache

Add Object Caching Using Spring, AOP, and Ehcache

http://javaboutique.internet.com/tutorials/ehcache/

Ehcache with Spring

http://www.nabble.com/Ehcache-with-Spring-td13527876.html

Declarative Caching using Spring, Ehcache and Java 5 Annotations

http://www.rowellbelen.com/content/declarative-caching-using-spring-ehcache-and-java-5-annotations

Hibernate Caches

http://acupof.blogspot.com/2008/01/background-hibernate-comes-with-three.html

Speed Up Your Hibernate Applications with Second-Level Caching

http://www.devx.com/dbzone/Article/29685/0/page/1

Spring/Hibernate Query Caching

http://www.javalobby.org/java/forums/t54060.html

Spring - Hibernate - EHCache - Web App

http://forum.springframework.org/showthread.php?t=15664

Consistent Cache Configuration: Spring, Hibernate, EhCache, JSecurity, et. al.

http://www.leshazlewood.com/?p=37

Configuring EhCache with Spring

http://minformix.org/blog/index.php?/archives/17-Configuring-EhCache-with-Spring.html

Larger application (spring/hibernate/ehcache) running on Terracotta

http://maas-frensch.com/peter/2007/06/15/larger-application-springhibernateehcache-running-on-terracotta/

EHCache simple example

http://www.nabble.com/a-simple-example-td19263194.html

Terracotta Integration

http://www.terracotta.org/web/display/orgsite/Integrations+Encyclopedia

EhCache Integration with Terracotta

http://www.terracotta.org/web/display/orgsite/EHCache+Integration

#books #ehcache #framework #softwares #spring #tech #terracotta #work

Ehcache configuration

Ehcache configuration settings.

Configuring cache to work with clustering

http://www.ehcache.org/documentation/user-guide/configuration

#ehcache

Hibernate caching - First leve, second level (using ehcache) and query caching

This is a nice tutorial about the hibernate cache at different levels

http://www.tutorialspoint.com/hibernate/hibernate_caching.htm

#hibernate #caching #ehcache

Greg Luck[1] following up on his article Ehcache: Distributed Cache or NoSQL Store? talks about architectural differences between distributed caches, NoSQL database, and RDBMS and where distributed caches fit:

NoSQL and RDBMS are generally on disk. Disks are mechanical devices and exhibit large latencies due to seek time as the head moves to the right track and read or write times dependent on the RPM of the disk platter. NoSQL tends to optimise disk use, for example, by only appending to logs with the disk head in place and occasionally flushing to disk. By contrast, caches are principally in memory. […] With RDBMS a cache is added to avoid these scale out difficulties. For NoSQL, scale out is built-in, so the cache will get used when lower latencies are required.

Greg Luck: Founder and CTO, Ehcache ↩

Original title and link: Distributed Caches, NoSQL Databases, and RDBMS (NoSQL database©myNoSQL)

#Ehcache #Terracotta #cache #distributed #RDBMS #NoSQL database