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https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16299562#comment-16299562
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ASF GitHub Bot commented on DRILL-5846:
---------------------------------------
Github user paul-rogers commented on a diff in the pull request:
https://github.com/apache/drill/pull/1060#discussion_r158183275
--- Diff: protocol/src/main/protobuf/UserBitShared.proto ---
@@ -148,6 +148,8 @@ message SerializedField {
optional int32 value_count = 4;
optional int32 var_byte_length = 5;
optional int32 buffer_length = 7;
+ optional bool is_dup = 8;
+ optional int32 logical_value_count = 9;
--- End diff --
We are updating the serialized field to (presumably) handle repeated
values. But, did we update the JDBC and ODBC drivers to match?
> 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
> Labels: performance
> Fix For: 1.13.0
>
>
> 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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