[jira] [Assigned] (SPARK-42893) Block Arrow-optimized Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-42893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-42893: Assignee: Xinrong Meng > Block Arrow-optimized Python UDFs > - > > Key: SPARK-42893 > URL: https://issues.apache.org/jira/browse/SPARK-42893 > Project: Spark > Issue Type: Sub-task > Components: PySpark >Affects Versions: 3.4.0 >Reporter: Xinrong Meng >Assignee: Xinrong Meng >Priority: Major > > Considering the upcoming improvements on the result inconsistencies between > traditional Pickled Python UDFs and Arrow-optimized Python UDFs, we'd better > block the feature, otherwise, users who try out the feature will expect > behavior changes in the next release. > In addition, since Spark Connect Python Client(SCPC) has been introduced in > Spark 3.4, we'd better ensure the feature is ready in both vanilla PySpark > and SCPC at the same time for compatibility. -- 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-42893) Block Arrow-optimized Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-42893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42893: Assignee: Apache Spark > Block Arrow-optimized Python UDFs > - > > Key: SPARK-42893 > URL: https://issues.apache.org/jira/browse/SPARK-42893 > Project: Spark > Issue Type: Sub-task > Components: PySpark >Affects Versions: 3.4.0 >Reporter: Xinrong Meng >Assignee: Apache Spark >Priority: Major > > Considering the upcoming improvements on the result inconsistencies between > traditional Pickled Python UDFs and Arrow-optimized Python UDFs, we'd better > block the feature, otherwise, users who try out the feature will expect > behavior changes in the next release. > In addition, since Spark Connect Python Client(SCPC) has been introduced in > Spark 3.4, we'd better ensure the feature is ready in both vanilla PySpark > and SCPC at the same time for compatibility. -- 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-42893) Block Arrow-optimized Python UDFs
[ https://issues.apache.org/jira/browse/SPARK-42893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-42893: Assignee: (was: Apache Spark) > Block Arrow-optimized Python UDFs > - > > Key: SPARK-42893 > URL: https://issues.apache.org/jira/browse/SPARK-42893 > Project: Spark > Issue Type: Sub-task > Components: PySpark >Affects Versions: 3.4.0 >Reporter: Xinrong Meng >Priority: Major > > Considering the upcoming improvements on the result inconsistencies between > traditional Pickled Python UDFs and Arrow-optimized Python UDFs, we'd better > block the feature, otherwise, users who try out the feature will expect > behavior changes in the next release. > In addition, since Spark Connect Python Client(SCPC) has been introduced in > Spark 3.4, we'd better ensure the feature is ready in both vanilla PySpark > and SCPC at the same time for compatibility. -- 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
