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https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16481876#comment-16481876
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ASF GitHub Bot commented on DRILL-5846:
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sachouche commented on issue #1060: DRILL-5846: Improve parquet performance for
Flat Data Types
URL: https://github.com/apache/drill/pull/1060#issuecomment-390467271
@arina-ielchiieva,
- I have fixed the failing tests; I noticed I missed porting few fixes from
the mapr private branch because it contained other features (Parquet batch size
batching and implicit columns)
- There were three failing tests in the Advanced tests but all of them
failed because of timeouts; the functional tests and unit tests passed
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> Improve Parquet Reader Performance for Flat Data types
> -------------------------------------------------------
>
> Key: DRILL-5846
> URL: https://issues.apache.org/jira/browse/DRILL-5846
> Project: Apache Drill
> Issue Type: Improvement
> Components: Storage - Parquet
> Affects Versions: 1.11.0
> Reporter: salim achouche
> Assignee: salim achouche
> Priority: Major
> Labels: performance
> Fix For: 1.14.0
>
> Attachments: 2542d447-9837-3924-dd12-f759108461e5.sys.drill,
> 2542d49b-88ef-38e3-a02b-b441c1295817.sys.drill
>
>
> The Parquet Reader is a key use-case for Drill. This JIRA is an attempt to
> further improve the Parquet Reader performance as several users reported that
> Parquet parsing represents the lion share of the overall query execution. It
> tracks Flat Data types only as Nested DTs might involve functional and
> processing enhancements (e.g., a nested column can be seen as a Document;
> user might want to perform operations scoped at the document level that is no
> need to span all rows). Another JIRA will be created to handle the nested
> columns use-case.
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