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https://issues.apache.org/jira/browse/SPARK-47493?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-47493:
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Labels: pull-request-available (was: )
> Disable spark.sql.parquet.inferTimestampNTZ.enabled by default
> --------------------------------------------------------------
>
> Key: SPARK-47493
> URL: https://issues.apache.org/jira/browse/SPARK-47493
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Labels: pull-request-available
>
> Since Spark 4.0, the SQL config `spark.sql.parquet.inferTimestampNTZ.enabled`
> is turned off by default. Consequently, when reading Parquet files that were
> not produced by Spark, the Parquet reader will no longer automatically
> recognize data as the TIMESTAMP_NTZ data type. This change ensures backward
> compatibility with releases of Spark version 3.2 and earlier. It also aligns
> the behavior of schema inference for Parquet files with that of other data
> sources such as CSV, JSON, ORC, and JDBC, enhancing consistency across the
> data sources. To revert to the previous behavior where TIMESTAMP_NTZ types
> were inferred, set `spark.sql.parquet.inferTimestampNTZ.enabled` to true.
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