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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (DRILL-5846) Improve Parquet Reader Performance for Flat Data types
Date Sun, 21 Jan 2018 22:40:00 GMT

    [ https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16333714#comment-16333714
] 

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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