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https://issues.apache.org/jira/browse/HUDI-83?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17059099#comment-17059099
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Udit Mehrotra commented on HUDI-83:
-----------------------------------
[~arw357] Timestamp type is supported while writing through spark and reading
as long as you are not doing Hive sync. If you do hive sync, you cannot map
Timestamp type in Spark to the corresponding Timestamp type in Hive. Currently,
the Timestamp type in Spark is mapped to Long type in Hive and thats how it
works. This Jira is more for end to end support for Timestamps, so they can be
stored as the same type in Hive table instead of being mapped to Long. The
reason is currently Hive cannot convert the long value stored in parquet files
to Timestamp type.
> Support for timestamp datatype in Hudi
> --------------------------------------
>
> Key: HUDI-83
> URL: https://issues.apache.org/jira/browse/HUDI-83
> Project: Apache Hudi (incubating)
> Issue Type: Bug
> Components: Usability
> Reporter: Vinoth Chandar
> Priority: Major
> Fix For: 0.6.0
>
>
> [https://github.com/apache/incubator-hudi/issues/543] &; related issues
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