Also, you could use multiple entities mapped to the same database table so that you can choose which properties are to be loaded from the database based on the entity type that you are currently fetching. In case you have annotated the large column with @Basic(fetch=LAZY), you need to ...
The optimizer determines the most efficient way to execute a SQL statement after considering many factors related to the objects referenced and the conditions specified in the query. This determination is an important step in the processing of any SQL statement and can greatly affect execution time....
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The large size and performance bottlenecks of data-center applications make them good targets for feedback-driven optimizations (FDO), also called profile-guided optimizations (PGO), particularly code layout. At the same time, the large sizes of these applications also impose scalability challenges to...
In case your transformer needs to make remote requests to fetch external data (like theAmpProject\Optimizer\Transformer\AmpRuntimeCssdoes for fetching the latest version of the CSS to inline), you need to accept anAmpProject\RemoteGetRequestobject as an argument in your constructor. The transforma...
GROUPBY p.Name; The first step of the optimization pipeline we will look at is simplification, where the optimizer looks to rewrite parts of the logical tree to remove redundancies and move logical operations around a bit to help later stages. Major activities that occur around the time simplifi...
The cost of fetching rows using rowids depends on the index clustering factor.Although the clustering factor is a property of the index, the clustering factor actually relates to the spread of similar indexed column values within data blocks in the table. A lower clustering factor indicates that ...