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https://issues.apache.org/jira/browse/SPARK-29904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-29904:
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Affects Version/s: 2.4.0
2.4.1
2.4.2
2.4.3
> Parse timestamps in microsecond precision by JSON/CSV datasources
> -----------------------------------------------------------------
>
> Key: SPARK-29904
> URL: https://issues.apache.org/jira/browse/SPARK-29904
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 2.4.5
>
>
> Currently, Spark can parse strings with timestamps from JSON/CSV in
> millisecond precision. Internally, timestamps have microsecond precision. The
> ticket aims to modify parsing logic in Spark 2.4 to support the microsecond
> precision. Porting of DateFormatter/TimestampFormatter from Spark 3.0-preview
> is risky, so, need to find another lighter solution.
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