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https://issues.apache.org/jira/browse/DRILL-3209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14707642#comment-14707642
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Jason Altekruse commented on DRILL-3209:
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I have a subset of this feature done. The current sticking point I am facing is
handling hive external tables, which to make it work properly with this feature
is going to require more refactoring than I had initially anticipated.
I will rebase my work so far and modify it to fall back to the current behavior
(using SerdDe readers) if the table contains any external partitions. This
should be completed by the middle of next week.
> [Umbrella] Plan reads of Hive tables as native Drill reads when a native
> reader for the underlying table format exists
> ----------------------------------------------------------------------------------------------------------------------
>
> Key: DRILL-3209
> URL: https://issues.apache.org/jira/browse/DRILL-3209
> Project: Apache Drill
> Issue Type: Improvement
> Components: Query Planning & Optimization, Storage - Hive
> Reporter: Jason Altekruse
> Assignee: Jason Altekruse
> Fix For: 1.3.0
>
>
> All reads against Hive are currently done through the Hive Serde interface.
> While this provides the most flexibility, the API is not optimized for
> maximum performance while reading the data into Drill's native data
> structures. For Parquet and Text file backed tables, we can plan these reads
> as Drill native reads. Currently reads of these file types provide untyped
> data. While parquet has metadata in the file we currently do not make use of
> the type information while planning. For text files we read all of the files
> as lists of varchars. In both of these cases, casts will need to be injected
> to provide the same datatypes provided by the reads through the SerDe
> interface.
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