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https://issues.apache.org/jira/browse/SPARK-31762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17111486#comment-17111486
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Apache Spark commented on SPARK-31762:
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User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/28582
> Fix perf regression of date/timestamp formatting in toHiveString
> ----------------------------------------------------------------
>
> Key: SPARK-31762
> URL: https://issues.apache.org/jira/browse/SPARK-31762
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Maxim Gekk
> Priority: Major
>
> HiveResult.toHiveString has to convert incoming Java date/timestamps types to
> days/microseconds because existing API of DateFormatter/TimestampFormatter
> don't accept java.sql.Timestamp/java.util.Date and
> java.time.Instant/java.time.LocalDate. Internally, the formatters perform
> conversions to Java types again. This badly impacts on the performance. The
> ticket aims to add new APIs to DateFormatter and TimestampFormatter that
> should accept Java types.
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