Windows. Présentation : Hibernate - Tuning de performances. Un petit mémo afin d'avoir la liste des configurations des drivers JDBC des principales bases de données. C'est toujours un casse tête pour retrouver ces configurations, un petit index est toujours utile. Driver Class: com.ibm.db2.jdbc.app.DB2DriverDefault Port: ??? JDBC URL: jdbc: Dialect: org.hibernate.dialect.DB2Dialect org.hibernate.dialect.DB2400Dialect (DB2 AS/400) org.hibernate.dialect.DB2390Dialect (DB2 OS390) HypersonicSQL Driver Class: org.hsqldb.jdbcDriver (v1.x) org.hsqldb.jdbc.JDBCDriver (v2.x)Default Port: 9001JDBC URL: jdbc:hsqldb: Dialect: org.hibernate.dialect.HSQLDialect MySQL (Connector/J) Driver Class: com.mysql.jdbc.DriverDefault Port: 3306JDBC URL: jdbc: Oracle 9i/10g.
Cardsharp on Software. Gathering Performance Metrics for Hibernate. So you've got a performance problem, and you're pretty sure that it lies in a bottleneck between your database and your application server. You've used IronTrack SQL or some other tool to analyze the SQL sent between your application and the database, and you're pretty sure that there isn't much advantage to be squeezed from refining your queries.
Instead, you feel certain that the problems are due to the amount of traffic between your application and the database. The solution in this case may be a cache. By storing the data in a cache instead of relying solely on the database, you may be able to significantly reduce the load on the database, and possibly to increase overall performance as well. Understanding Caches Generally speaking, anything you can do to minimize traffic between a database and an application server is probably a good thing. Unfortunately, there is no ideal solution to the problem of distributed object cache in conjunction with a legacy system. Configuring a Cache. The Interview: Gavin King, Hibernate. Java Performance Tuning Java(TM) - see bottom of page Our valued sponsors who help make this site possible New Relic: Try free w/ production profiling and get a free shirt!
ManageEngine's Site24x7: End-to-End analysis on Java EE web transactions. Sign up for FREE! AppDynamics: Get complete browser to backend visibility. Back to newsletter 041 contents This month we got to interview Gavin King, founder of the Hibernate open source object/relational mapping project. JPT: Can you tell us a bit about yourself and what you do? I am the founder of the Hibernate project, an open source object/relational mapping solution for Java. JPT: What brought you to build Hibernate. Hibernate was designed as a fix for the well known problems of Entity Beans.
JPT: Given the current buzz around Hibernate, what made you decide to join JBoss? It's simply not possible to run a project with the kind of scope that Hibernate has, or with the sheer number of users we have to support, in your spare time. So, why JBoss? Speed Up Your Hibernate Applications with Second-Level Caching. Igh-volume database traffic is a frequent cause of performance problems in Web applications. Hibernate is a high-performance, object/relational persistence and query service, but it won't solve all your performance issues without a little help.
In many cases, second-level caching can be just what Hibernate needs to realize its full performance-handling potential. This article examines Hibernate's caching functionalities and shows how you can use them to significantly boost application performance. An Introduction to Caching Caching is widely used for optimizing database applications.
Hibernate Caching Hibernate uses two different caches for objects: first-level cache and second-level cache. In addition, you can use a query-level cache if you need to cache actual query results, rather than just persistent objects. Cache Implementations Caches are complicated pieces of software, and the market offers quite a number of choices, both open source and commercial. Caching Strategies.