GitHub user dilipbiswal opened a pull request: https://github.com/apache/spark/pull/22641
[SPARK-25611][SPARK-25622][SQL][TESTS] Improve test run time of CompressionCodecSuite ## What changes were proposed in this pull request? I am using the idea of @mgaido91 to pick the test codecs randomly and selecting 1 in each loop to reduce the test combinations. The test runtime below : ``` [info] - both table-level and session-level compression are set (20 seconds, 607 milliseconds) [info] - table-level compression is not set but session-level compressions is set (14 seconds, 584 milliseconds) [info] - both table-level and session-level compression are set (20 seconds, 140 milliseconds) [info] - table-level compression is not set but session-level compressions is set (14 seconds, 393 milliseconds) [info] - both table-level and session-level compression are set (21 seconds, 410 milliseconds) [info] - table-level compression is not set but session-level compressions is set (14 seconds, 778 milliseconds) ``` ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) (If this patch involves UI changes, please attach a screenshot; otherwise, remove this) Please review http://spark.apache.org/contributing.html before opening a pull request. You can merge this pull request into a Git repository by running: $ git pull https://github.com/dilipbiswal/spark SPARK-25611 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/22641.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 #22641 ---- commit 2d7ffa65be68a34a1c80daea207b26ffbb008afd Author: Dilip Biswal <dbiswal@...> Date: 2018-10-05T09:57:46Z [SPARK-25611][SPARK-25622] Improve test run time of CompressionCodecSuite ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org