[jira] [Assigned] (SPARK-42480) Improve the performance of drop partitions
[ https://issues.apache.org/jira/browse/SPARK-42480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chao Sun reassigned SPARK-42480: Assignee: Wechar > Improve the performance of drop partitions > -- > > Key: SPARK-42480 > URL: https://issues.apache.org/jira/browse/SPARK-42480 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.3.2 >Reporter: Wechar >Assignee: Wechar >Priority: Major > > Currently to drop the matching partitions, Spark will first get all matching > Partition objects from Hive metastore, and just use the partition values of > these Partition objects. > We can get the matching partition names instead of the partition objects for > the following reasons: > 1. we can also get partition values through a partition name (like a=1/b=2) > 2. the byte size of partition name is much smaller than partition object, > which will help improve the performance of drop partitions. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42480) Improve the performance of drop partitions
[ https://issues.apache.org/jira/browse/SPARK-42480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42480: Assignee: (was: Apache Spark) > Improve the performance of drop partitions > -- > > Key: SPARK-42480 > URL: https://issues.apache.org/jira/browse/SPARK-42480 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.3.2 >Reporter: Wechar >Priority: Major > > Currently to drop the matching partitions, Spark will first get all matching > Partition objects from Hive metastore, and just use the partition values of > these Partition objects. > We can get the matching partition names instead of the partition objects for > the following reasons: > 1. we can also get partition values through a partition name (like a=1/b=2) > 2. the byte size of partition name is much smaller than partition object, > which will help improve the performance of drop partitions. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-42480) Improve the performance of drop partitions
[ https://issues.apache.org/jira/browse/SPARK-42480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42480: Assignee: Apache Spark > Improve the performance of drop partitions > -- > > Key: SPARK-42480 > URL: https://issues.apache.org/jira/browse/SPARK-42480 > Project: Spark > Issue Type: Improvement > Components: SQL >Affects Versions: 3.3.2 >Reporter: Wechar >Assignee: Apache Spark >Priority: Major > > Currently to drop the matching partitions, Spark will first get all matching > Partition objects from Hive metastore, and just use the partition values of > these Partition objects. > We can get the matching partition names instead of the partition objects for > the following reasons: > 1. we can also get partition values through a partition name (like a=1/b=2) > 2. the byte size of partition name is much smaller than partition object, > which will help improve the performance of drop partitions. -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
