[ https://issues.apache.org/jira/browse/SPARK-52450?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-52450: ----------------------------------- Labels: pull-request-available (was: ) > Improve performance of schema deepcopy > -------------------------------------- > > Key: SPARK-52450 > URL: https://issues.apache.org/jira/browse/SPARK-52450 > Project: Spark > Issue Type: Improvement > Components: Connect > Affects Versions: 4.0.0, 4.1.0, 4.0.1 > Reporter: Xi Lyu > Priority: Major > Labels: pull-request-available > > In Spark Connect, `DataFrame.schema` returns a deep copy of the schema to > prevent unexpected behavior caused by user modifications to the returned > schema object. However, if a user accesses `df.schema` repeatedly on a > DataFrame with a complex schema, it can lead to noticeable performance > degradation. > Since `deepcopy` is already known for its performance overhead, we should > consider using an alternative serialization/deserialization (ser/de) method > to improve the efficiency of accessing `df.schema`. -- 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