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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/05/23 05:47:00 UTC
[jira] [Assigned] (SPARK-31802) Format Java date-time types in
Row.jsonValue directly
[ https://issues.apache.org/jira/browse/SPARK-31802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-31802:
------------------------------------
Assignee: Apache Spark (was: Maxim Gekk)
> Format Java date-time types in Row.jsonValue directly
> -----------------------------------------------------
>
> Key: SPARK-31802
> URL: https://issues.apache.org/jira/browse/SPARK-31802
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Maxim Gekk
> Assignee: Apache Spark
> Priority: Major
> Fix For: 3.0.0
>
>
> Row.jsonValue has to convert incoming Java date/timestamps types to days/microseconds because DateFormatter/TimestampFormatter APIs didn't accept java.sql.Timestamp/java.util.Date and java.time.Instant/java.time.LocalDate before https://issues.apache.org/jira/browse/SPARK-31762. Internally, the formatters perform conversions to Java types again. This badly impacts on the performance. The ticket aims to add new APIs to DateFormatter and TimestampFormatter that should accept Java types.
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