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Posted to issues@spark.apache.org by "Jackie Zhang (Jira)" <ji...@apache.org> on 2024/08/01 18:51:00 UTC

[jira] [Created] (SPARK-49082) Support type promotion/widening for Avro readers

Jackie Zhang created SPARK-49082:
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             Summary: Support type promotion/widening for Avro readers
                 Key: SPARK-49082
                 URL: https://issues.apache.org/jira/browse/SPARK-49082
             Project: Spark
          Issue Type: New Feature
          Components: Input/Output
    Affects Versions: 4.0.0
            Reporter: Jackie Zhang


Similar to the ask in https://issues.apache.org/jira/browse/SPARK-40876, we should be able to enable type promotion/widening for Avro readers - i.e. we should be able to read back Avro data encoded in a narrower type using a wider Spark schema type.

We should support the following:
 * Int -> Long
 * Float -> Double
 * Int -> Double
 * Date -> TimestampNTZ (Timestamp without timezone only as a date has no timezone information)
 * Decimal with higher precision (already supported in non-vectorized reader)



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