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Gengliang Wang resolved SPARK-47447. ------------------------------------ Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 45571 [https://github.com/apache/spark/pull/45571] > Allow reading Parquet TimestampLTZ as TimestampNTZ > -------------------------------------------------- > > Key: SPARK-47447 > URL: https://issues.apache.org/jira/browse/SPARK-47447 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 4.0.0 > Reporter: Gengliang Wang > Assignee: Gengliang Wang > Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > > Currently, Parquet TimestampNTZ type columns can be read as TimestampLTZ, > while reading TimestampLTZ as TimestampNTZ will cause errors. This makes it > impossible to read parquet files containing both TimestampLTZ and > TimestampNTZ as TimestampNTZ. > To make the data type system on Parquet simpler, we should allow reading > TimestampLTZ as TimestampNTZ in the Parquet data source. -- 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