You are viewing a plain text version of this content. The canonical link for it is here.
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}



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org