[ https://issues.apache.org/jira/browse/SPARK-37089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ankur Dave updated SPARK-37089: ------------------------------- Summary: ParquetFileFormat/OrcFileFormat register task completion listeners lazily, causing Python writer thread to segfault when off-heap vectorized reader is enabled (was: ParquetFileFormat registers task completion listeners lazily, causing Python writer thread to segfault when off-heap vectorized reader is enabled) > ParquetFileFormat/OrcFileFormat register task completion listeners lazily, > causing Python writer thread to segfault when off-heap vectorized reader is > enabled > -------------------------------------------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-37089 > URL: https://issues.apache.org/jira/browse/SPARK-37089 > Project: Spark > Issue Type: Bug > Components: PySpark, SQL > Affects Versions: 3.0.3, 3.1.2, 3.2.0 > Reporter: Ankur Dave > Assignee: Ankur Dave > Priority: Major > > The task completion listener that closes the vectorized reader is registered > lazily in ParquetFileFormat#buildReaderWithPartitionValues(). Since task > completion listeners are executed in reverse order of registration, it always > runs before the Python writer thread can be interrupted. > This contradicts the assumption in > https://issues.apache.org/jira/browse/SPARK-37088 / > https://github.com/apache/spark/pull/34245 that task completion listeners are > registered bottom-up, preventing that fix from working properly. -- 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