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https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16333714#comment-16333714
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ASF GitHub Bot commented on DRILL-5846:
---------------------------------------
Github user sachouche commented on a diff in the pull request:
https://github.com/apache/drill/pull/1060#discussion_r162828174
--- Diff: exec/vector/src/main/codegen/templates/NullableValueVectors.java
---
@@ -51,6 +57,17 @@
public final class ${className} extends BaseDataValueVector implements
<#if type.major == "VarLen">VariableWidth<#else>FixedWidth</#if>Vector,
NullableVector {
private static final org.slf4j.Logger logger =
org.slf4j.LoggerFactory.getLogger(${className}.class);
+ /**
+ * Optimization to set contiguous values nullable state in a bulk
manner; cannot define this array
+ * within the Mutator class as Java doesn't allow static initialization
within a non static inner class.
+ */
+ private static final int DEFINED_VALUES_ARRAY_LEN = 1 << 10;
--- End diff --
1 << 10 is 1024; not sure how did you arrive at 10,000,000,000..
> 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: 1.13.0
>
>
> 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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