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  1. Spark
  2. SPARK-35662 Support Timestamp without time zone data type
  3. SPARK-47447

Allow reading Parquet TimestampLTZ as TimestampNTZ

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    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 4.0.0
    • 4.0.0
    • SQL

    Description

      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.

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              Gengliang.Wang Gengliang Wang
              Gengliang.Wang Gengliang Wang
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                Created:
                Updated:
                Resolved: