HyukjinKwon opened a new pull request, #49790: URL: https://github.com/apache/spark/pull/49790
### What changes were proposed in this pull request? This PR is a retry of https://github.com/apache/spark/pull/41569 that implements to use large variable types within PySpark everywhere. https://github.com/apache/spark/pull/39572 implemented the core logic but it only supports large variable types in the bold cases below: - `mapInArrow`: **JVM -> Python -> JVM** - Pandas UDF/Function API: **JVM -> Python** -> JVM - createDataFrame with Arrow: Python -> JVM - toPandas with Arrow: JVM -> Python This PR completes them all. ### Why are the changes needed? To consistently support the large variable types. ### Does this PR introduce _any_ user-facing change? `spark.sql.execution.arrow.useLargeVarTypes` is not released out yet so it doesn't affect any end users. ### How was this patch tested? Existing tests with `spark.sql.execution.arrow.useLargeVarTypes` enabled. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
