[ https://issues.apache.org/jira/browse/SPARK-32285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32285: ------------------------------------ Assignee: (was: Apache Spark) > Add PySpark support for nested timestamps with arrow > ---------------------------------------------------- > > Key: SPARK-32285 > URL: https://issues.apache.org/jira/browse/SPARK-32285 > Project: Spark > Issue Type: Improvement > Components: PySpark, SQL > Affects Versions: 3.0.0 > Reporter: Bryan Cutler > Priority: Major > > Currently with arrow optimizations, there is post-processing done in pandas > for timestamp columns to localize timezone. This is not done for nested > columns with timestamps such as StructType or ArrayType. > Adding support for this is needed for Apache Arrow 1.0.0 upgrade due to use > of structs with timestamps in groupedby key over a window. > As a simple first step, timestamps with 1 level nesting could be done first > and this will satisfy the immediate need. > NOTE: with Arrow 1.0.0, it might be possible to do the timezone processing > with pyarrow.array.cast, which could be easier done than in pandas. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org