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Posted to issues@spark.apache.org by "Max Gekk (Jira)" <ji...@apache.org> on 2021/08/04 18:02:00 UTC

[jira] [Created] (SPARK-36418) Use CAST in parsing of dates/timestamps with default pattern

Max Gekk created SPARK-36418:
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             Summary: Use CAST in parsing of dates/timestamps with default pattern
                 Key: SPARK-36418
                 URL: https://issues.apache.org/jira/browse/SPARK-36418
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.2.0
            Reporter: Max Gekk


In functions, CSV/JSON datasources and other places, when the pattern is default, use CAST logic in parsing strings to dates/timestamps.

Currently, TimestampFormatter.getFormatter() applies the default pattern *yyyy-MM-dd  HH:mm:ss* when the pattern is not set, see https://github.com/apache/spark/blob/f2492772baf1d00d802e704f84c22a9c410929e9/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala#L344 . Instead of that, need to create a special formatter which invokes the cast logic.



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