[jira] [Assigned] (SPARK-42038) SPJ: Support partially clustered distribution
[ https://issues.apache.org/jira/browse/SPARK-42038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun reassigned SPARK-42038: - Assignee: Chao Sun > SPJ: Support partially clustered distribution > - > > Key: SPARK-42038 > URL: https://issues.apache.org/jira/browse/SPARK-42038 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.3.1 >Reporter: Chao Sun >Assignee: Chao Sun >Priority: Major > > Currently the storage-partitioned join requires both sides to be fully > clustered on the partition values, that is, all input partitions reported by > a V2 data source shall be grouped by partition values before the join > happens. This could lead to data skew issues if a particular partition value > is associated with a large amount of rows. > > To combat this, we can introduce the idea of partially clustered > distribution, which means that only one side of the join is required to be > fully clustered, while the other side is not. This allows Spark to increase > the parallelism of the join and avoid the data skewness. -- 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-42038) SPJ: Support partially clustered distribution
[ https://issues.apache.org/jira/browse/SPARK-42038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42038: Assignee: (was: Apache Spark) > SPJ: Support partially clustered distribution > - > > Key: SPARK-42038 > URL: https://issues.apache.org/jira/browse/SPARK-42038 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.3.1 >Reporter: Chao Sun >Priority: Major > > Currently the storage-partitioned join requires both sides to be fully > clustered on the partition values, that is, all input partitions reported by > a V2 data source shall be grouped by partition values before the join > happens. This could lead to data skew issues if a particular partition value > is associated with a large amount of rows. > > To combat this, we can introduce the idea of partially clustered > distribution, which means that only one side of the join is required to be > fully clustered, while the other side is not. This allows Spark to increase > the parallelism of the join and avoid the data skewness. -- 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-42038) SPJ: Support partially clustered distribution
[ https://issues.apache.org/jira/browse/SPARK-42038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42038: Assignee: Apache Spark > SPJ: Support partially clustered distribution > - > > Key: SPARK-42038 > URL: https://issues.apache.org/jira/browse/SPARK-42038 > Project: Spark > Issue Type: Sub-task > Components: SQL >Affects Versions: 3.3.1 >Reporter: Chao Sun >Assignee: Apache Spark >Priority: Major > > Currently the storage-partitioned join requires both sides to be fully > clustered on the partition values, that is, all input partitions reported by > a V2 data source shall be grouped by partition values before the join > happens. This could lead to data skew issues if a particular partition value > is associated with a large amount of rows. > > To combat this, we can introduce the idea of partially clustered > distribution, which means that only one side of the join is required to be > fully clustered, while the other side is not. This allows Spark to increase > the parallelism of the join and avoid the data skewness. -- 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
