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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2019/11/15 23:43:00 UTC
[jira] [Resolved] (SPARK-29904) Parse timestamps in microsecond
precision by JSON/CSV datasources
[ https://issues.apache.org/jira/browse/SPARK-29904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun resolved SPARK-29904.
-----------------------------------
Fix Version/s: 2.4.5
Assignee: Maxim Gekk
Resolution: Fixed
This is resolved via https://github.com/apache/spark/pull/26507
> 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: 2.4.4
> 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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