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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 Thu, 21 Dec 2017 05:14:01 GMT

    [ https://issues.apache.org/jira/browse/DRILL-5846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16299566#comment-16299566

ASF GitHub Bot commented on DRILL-5846:

Github user paul-rogers commented on a diff in the pull request:

    --- Diff: exec/vector/src/main/codegen/templates/NullableValueVectors.java ---
    @@ -15,13 +15,19 @@
      * See the License for the specific language governing permissions and
      * limitations under the License.
    +import org.apache.drill.exec.proto.UserBitShared.SerializedField;
     import org.apache.drill.exec.memory.AllocationManager.BufferLedger;
     import org.apache.drill.exec.util.DecimalUtility;
     import org.apache.drill.exec.vector.BaseDataValueVector;
     import org.apache.drill.exec.vector.NullableVectorDefinitionSetter;
    +import org.apache.drill.exec.vector.NullableVarCharVector.Accessor;
    +import org.apache.drill.exec.vector.NullableVarCharVector.Mutator;
    --- End diff --
    All nullable vectors need the `VarChar` accessor and mutator?

> 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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