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https://issues.apache.org/jira/browse/IMPALA-1903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16908166#comment-16908166
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Tim Armstrong commented on IMPALA-1903:
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[~h-vetinari] I talked to some of our Hive and Parquet team and they said that
date should work in Hive with Parquet - they do a full matrix of
interoperability tests for DATE with different engines. (This is on a recent
version of CDH Hive, but all the relevant code is also in Apache). Apparently
that issue only affects the vectorised Parquet reader, the non-vectorised one
is not affected.
> Add support for partitions by timestamp
> ---------------------------------------
>
> Key: IMPALA-1903
> URL: https://issues.apache.org/jira/browse/IMPALA-1903
> Project: IMPALA
> Issue Type: New Feature
> Components: Frontend
> Affects Versions: Impala 2.2
> Reporter: Grant Sohn
> Assignee: Jim Apple
> Priority: Critical
> Labels: ramp-up, sql-language
>
> Timestamps or some time related parameter is a very common way data is
> partitioned. At Yahoo almost all the Hadoop ETL data was partitioned this
> way. This should be on par with nested data types as an important feature
> for Impala to have.
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