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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2023/10/06 09:06:00 UTC
[jira] [Assigned] (SPARK-45433) CSV/JSON schema inference when timestamps do not match specified timestampFormat with only one row on each partition report error
[ https://issues.apache.org/jira/browse/SPARK-45433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot reassigned SPARK-45433:
--------------------------------------
Assignee: (was: Apache Spark)
> CSV/JSON schema inference when timestamps do not match specified timestampFormat with only one row on each partition report error
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-45433
> URL: https://issues.apache.org/jira/browse/SPARK-45433
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.3.0, 3.4.0, 3.5.0
> Reporter: Jia Fan
> Priority: Major
> Labels: pull-request-available
>
> CSV/JSON schema inference when timestamps do not match specified timestampFormat with `only one row on each partition` report error.
> {code:java}
> //eg
> val csv = spark.read.option("timestampFormat", "yyyy-MM-dd'T'HH:mm:ss")
> .option("inferSchema", true).csv(Seq("2884-06-24T02:45:51.138").toDS())
> csv.show() {code}
> {code:java}
> //error
> Caused by: java.time.format.DateTimeParseException: Text '2884-06-24T02:45:51.138' could not be parsed, unparsed text found at index 19 {code}
> This bug affect 3.3/3.4/3.5. Unlike https://issues.apache.org/jira/browse/SPARK-45424 , this is a different bug but has the same error message
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