[ https://issues.apache.org/jira/browse/SPARK-43412?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xinrong Meng resolved SPARK-43412. ---------------------------------- Fix Version/s: 3.5.0 Resolution: Fixed Issue resolved by pull request 41053 [https://github.com/apache/spark/pull/41053] > Introduce `SQL_ARROW_BATCHED_UDF` EvalType for Arrow-optimized Python UDFs > -------------------------------------------------------------------------- > > Key: SPARK-43412 > URL: https://issues.apache.org/jira/browse/SPARK-43412 > Project: Spark > Issue Type: Sub-task > Components: Connect, PySpark > Affects Versions: 3.5.0 > Reporter: Xinrong Meng > Assignee: Xinrong Meng > Priority: Major > Fix For: 3.5.0 > > > We are about to improve nested non-atomic input/output support of an > Arrow-optimized Python UDF. > However, currently, it shares the same EvalType with a pickled Python UDF, > but the same implementation with a Pandas UDF. > Introducing an EvalType enables isolating the changes to Arrow-optimized > Python UDFs. -- 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