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https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16299580#comment-16299580
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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_r158198379
--- Diff: exec/vector/src/main/codegen/templates/NullableValueVectors.java
---
@@ -804,6 +1406,310 @@ public void fromNotNullable(${minor.class}Vector
srce) {
setValueCount(valueCount);
}
}
+
+ <#if type.major == "VarLen" && minor.class == "VarChar">
--- End diff --
Given that is (and much other code) is for a single class, does it really
need to be generated via a template?
> 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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