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Posted to issues@spark.apache.org by "Max Gekk (Jira)" <ji...@apache.org> on 2025/03/31 05:21:00 UTC
[jira] [Resolved] (SPARK-51661) Partitions discovery of TIME column values
[ https://issues.apache.org/jira/browse/SPARK-51661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Max Gekk resolved SPARK-51661.
------------------------------
Fix Version/s: 4.1.0
Resolution: Fixed
Issue resolved by pull request 50453
[https://github.com/apache/spark/pull/50453]
> Partitions discovery of TIME column values
> ------------------------------------------
>
> Key: SPARK-51661
> URL: https://issues.apache.org/jira/browse/SPARK-51661
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.1.0
> Reporter: Max Gekk
> Assignee: Max Gekk
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0
>
>
> Modify the partition discovery mechanism, and support inferring of the TIME data type if partition values match to the time pattern *HH:mm:ss[.SSSSSS]*.
> Currently, for the time values like "10:11:12.123" and "23:59:59.1", the inferred type is STRING. For example:
> {code:scala}
> scala> sql("SELECT time'12:00' AS t, 0 as id").write.partitionBy("t").parquet("/Users/maxim.gekk/tmp/time_parquet2")
> scala> spark.read.parquet("/Users/maxim.gekk/tmp/time_parquet2").printSchema()
> root
> |-- id: integer (nullable = true)
> |-- t: string (nullable = true)
> {code}
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