[jira] [Updated] (SPARK-31318) Split Parquet/Avro configs for rebasing dates/timestamps in read and in write

["Maxim Gekk (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-31318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Maxim Gekk updated SPARK-31318:
-------------------------------
        Parent: SPARK-30951
    Issue Type: Sub-task  (was: Improvement)

> 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
>            Priority: Major
>
> 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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