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Difference between revisions of "EclipseLink/Performance"
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** Fetch groups (query, default, dynamic) | ** Fetch groups (query, default, dynamic) | ||
** [[Using_EclipseLink_JPA_Extensions_(ELUG)#Fetch_Size|Fetch size]] | ** [[Using_EclipseLink_JPA_Extensions_(ELUG)#Fetch_Size|Fetch size]] | ||
| − | ** Pagination (firstResult, maxResult, ROWNUM filtering) | + | ** [[EclipseLink/Examples/JPA/Pagination|Pagination]] (firstResult, maxResult, ROWNUM filtering) |
** Cursors (stream and scrollable) | ** Cursors (stream and scrollable) | ||
** [[Using_EclipseLink_JPA_Extensions_(ELUG)#Cache_Usage|Cache usage]] (in-memory, primary key) | ** [[Using_EclipseLink_JPA_Extensions_(ELUG)#Cache_Usage|Cache usage]] (in-memory, primary key) | ||
| Line 42: | Line 42: | ||
* [[Optimizing_the_EclipseLink_Application_(ELUG)| EclipseLink User Guide - Optimization]] | * [[Optimizing_the_EclipseLink_Application_(ELUG)| EclipseLink User Guide - Optimization]] | ||
* [[EclipseLink/Development/Performance | Performance Development]] | * [[EclipseLink/Development/Performance | Performance Development]] | ||
| − | + | * [http://java-persistence-performance.blogspot.com/ Java Persistence Performance (Blog)] | |
| + | * [http://java-persistence-performance.blogspot.com/2010/08/batch-fetching-optimizing-object-graph.html Batch fetching - optimizing object graph loading] | ||
| + | * [http://wiki.eclipse.org/EclipseLink/Examples/Distributed#Multicore_Analysis Performance characteristics for 1-512 parallel threads on a single 8-core i7-920 node as part of a distributed JPA application] | ||
[[Category:EclipseLink|Performance]] | [[Category:EclipseLink|Performance]] | ||
Revision as of 16:51, 24 March 2011
EclipseLink is dedicated to being the best performing, and most scalable JPA implementation.
Contents
Features
EclipseLink's performance features include:
- Object cache
- Cache invalidation (time to live, and time of day)
- Configurable cache types per Entity, (Weak, Soft, SoftCache, HardCache, Full)
- Configurable cache size per Entity
- Clustered cache coordination
- Querying
- Read-only queries
- Join fetching (query, nested, mapping)
- Batch reading (query, nested, mapping)
- Fetch groups (query, default, dynamic)
- Fetch size
- Pagination (firstResult, maxResult, ROWNUM filtering)
- Cursors (stream and scrollable)
- Cache usage (in-memory, primary key)
- Query cache (invalidation, size configuration)
- Mapping
- Lazy loading
- Read-only objects
- Weaving enhancements
- Transactions
- Attribute level change tracking
- Field level updates
- Database
- Connection pooling
- Parametrized SQL
- Statement caching
- Batch writing (JDBC, parametrized, native)
- Tools