Java Persistence Performance
Java Persistence Performance Blogspot. A blog on Java, performance, scalability, concurrency, object-relational mapping (ORM), Java Persistence API (JPA), persistence,...
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Best pages on Java-persistence-performance.blogspot.com
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Java Persistence Performance: How to improve JPA performance by 1,825%
The Java Persistence API (JPA) provides a rich persistence architecture. JPA hides much of the low level dull-drum of database access, free...
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Java Persistence Performance: Data Partitioning - Scaling the Database
In Enterprise Java most of the effort is normally done to scale the mid-tier application and its server. Pretty much every Java application...
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A blog on Java, performance, scalability, concurrency, object-relational mapping (ORM), Java Persistence API (JPA), persistence, databases, caching, Oracle, MySQL, NoSQL, XML, JSON, EclipseLink, TopLi...
Java-persistence-performance.blogspot.com news digest
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11 years
Optimizing Java Serialization - Java vs XML vs JSON vs Kryo vs POF
Perhaps I'm naive, but I always thought Java serialization must surely be the fastest and most efficient way to serialize Java objects into binary form. After all, Java is on it's 7th major release, so this is not new technology, and since every JDK...
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11 years
EclipseLink supports HQL and several advanced new JPQL features
EclipseLink 2.5 added several new JPQL features and supported syntax.
These include:
HQL compatibility -
11 years
Cool performance features of EclipseLink 2.5
The main goal of the EclipseLink 2.5 release was the support of the JPA 2.1 specification, as EclipseLink 2.5 was the reference implementation for JPA 2.1. For a list of JPA 2.1 features look here, or here.
Most of the features that went into the release were to support JPA 2.1 features, so there was not a lot of development time for other features. However, I was still able to sneak in a few cool new performance features. The features are not well documented... -
11 years
Batch Writing, and Dynamic vs Parametrized SQL, how well does your database perf...
One of the most effective database optimizations is batch writing. Batch writing is supported by most modern databases and part of the JDBC standard and is supported by most JPA providers.
Normal database access consists of sending each DML (insert, update, delete) statement to the database in a separate database/network access. Each database access has a certain amount of overhead to it, and the database must process each statement independently...
Domain history
Web host: | Google LLC |
Registrar: | MarkMonitor Inc. |
Registrant: | Google LLC |
Updated: | August 02, 2024 |
Expires: | July 31, 2025 |
Created: | July 31, 2000 |
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