GitHub user adrian-ionescu opened a pull request: https://github.com/apache/spark/pull/17510
[SPARK-20194] Add support for partition pruning to in-memory catalog ## What changes were proposed in this pull request? This patch implements `listPartitionsByFilter()` for `InMemoryCatalog` and thus resolves an outstanding TODO causing the `PruneFileSourcePartitions` optimizer rule not to apply when "spark.sql.catalogImplementation" is set to "in-memory" (which is the default). The change is straightforward: it extracts the code for further filtering of the list of partitions returned by the metastore's `getPartitionsByFilter()` out from `HiveExternalCatalog` into `ExternalCatalogUtils` and calls this new function from `InMemoryCatalog` on the whole list of partitions. Now that this method is implemented we can always pass the `CatalogTable` to the `DataSource` in `FindDataSourceTable`, so that the latter is resolved to a relation with a `CatalogFileIndex`, which is what the `PruneFileSourcePartitions` rule matches for. ## How was this patch tested? Ran existing tests and added new test for `listPartitionsByFilter` in `ExternalCatalogSuite`, which is subclassed by both `InMemoryCatalogSuite` and `HiveExternalCatalogSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/adrian-ionescu/apache-spark InMemoryCatalog Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/17510.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #17510 ---- commit 3b031c75ba35324242993e8742961d23ce087445 Author: Adrian Ionescu <adr...@databricks.com> Date: 2017-04-02T13:01:41Z Implement listPartitionsByFilter() for InMemoryCatalog ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org