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https://issues.apache.org/jira/browse/SPARK-31802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-31802:
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Description: 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 . 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. (was: HiveResult.toHiveString has to convert
incoming Java date/timestamps types to days/microseconds because existing API
of DateFormatter/TimestampFormatter don't accept
java.sql.Timestamp/java.util.Date and java.time.Instant/java.time.LocalDate.
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.)
> 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: Maxim Gekk
> 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 . 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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