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Difference between revisions of "EclipseLink/Examples/JPA/GraphLoading"
< EclipseLink | Examples | JPA
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A common problem developers face when using object-relational solutions is how to optimize the loading of a graph or related objects. By default a query for the root object type and default navigation through the graph can result in a N+1 SQL performance problem. This how-to highlights EclipseLink JPA's available solutions. | A common problem developers face when using object-relational solutions is how to optimize the loading of a graph or related objects. By default a query for the root object type and default navigation through the graph can result in a N+1 SQL performance problem. This how-to highlights EclipseLink JPA's available solutions. | ||
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| + | == Example Model == | ||
| + | |||
| + | == Querying without Optimizations == | ||
| + | |||
| + | == JPQL JOIN FETCH == | ||
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| + | == EclipseLink Hints == | ||
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| + | EclipseLink provides additional support for joining and batch reading using query hints. | ||
| + | |||
| + | === JOIN FETCH Hint === | ||
| + | |||
| + | === BATCH Hint === | ||
Revision as of 16:34, 3 April 2008
 | This page is under construction. |
Contents
How to Optimize Object Graph Loading with JPA
A common problem developers face when using object-relational solutions is how to optimize the loading of a graph or related objects. By default a query for the root object type and default navigation through the graph can result in a N+1 SQL performance problem. This how-to highlights EclipseLink JPA's available solutions.
Example Model
Querying without Optimizations
JPQL JOIN FETCH
EclipseLink Hints
EclipseLink provides additional support for joining and batch reading using query hints.