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https://issues.apache.org/jira/browse/SPARK-31318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-31318.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 28082
[https://github.com/apache/spark/pull/28082]
> Split Parquet/Avro configs for rebasing dates/timestamps in read and in write
> -----------------------------------------------------------------------------
>
> Key: SPARK-31318
> URL: https://issues.apache.org/jira/browse/SPARK-31318
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 3.0.0
>
>
> Currently, Spark provides 2 SQL configs to control rebasing of
> dates/timestamps in Parquet and Avro datasource:
> spark.sql.legacy.parquet.rebaseDateTime.enabled
> spark.sql.legacy.avro.rebaseDateTime.enabled
> The configs control rebasing in read and in write. That's can be inconvenient
> for users who want to read files saved by Spark 2.4 and earlier versions, and
> save dates/timestamps without rebasing.
> The ticket aims to split the configs, and introduce separate SQL configs for
> read and for write.
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