GitHub user zzcclp opened a pull request: https://github.com/apache/carbondata/pull/1245
[CARBONDATA-1366]Change rdd storage level to 'MEMORY_AND_DISK_SER' to improve loading performance when sort_scope=global_sort My testing env and configs are as followings: **Env:** 6 executors, 9G mem + 6 cores per executor **Configs:** SINGLE_PASS=true SORT_SCOPE=GLOBAL_SORT spark.memory.fraction=0.5 if using 'convertRDD.persist(StorageLevel.MEMORY_AND_DISK_SER)' in method 'org.apache.carbondata.spark.load.DataLoadProcessBuilderOnSpark.loadDataUsingGlobalSort', it takes about **7.2** min to load 144136697 lines (10.9 G parquet files), and if using 'convertRDD.persist(StorageLevel.MEMORY_AND_DISK)', it takes about **9.5** min to load 144136697 lines. You can merge this pull request into a Git repository by running: $ git pull https://github.com/zzcclp/carbondata CARBONDATA-1366 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/carbondata/pull/1245.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 #1245 ---- commit b50a3bb590d53e7749665e2f20b6a78ca963561f Author: Zhang Zhichao <441586...@qq.com> Date: 2017-08-08T09:42:40Z [CARBONDATA-1366]Change rdd storage level to 'MEMORY_AND_DISK_SER' to improve loading performance when sort_scope=global_sort Change rdd storage level to 'MEMORY_AND_DISK_SER' to improve loading performance when sort_scope=global_sort ---- --- 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. ---