spark-reviews mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From dilipbiswal <...@git.apache.org>
Subject [GitHub] spark pull request #15332: [SPARK-10364][SQL] Support Parquet logical type T...
Date Wed, 29 Mar 2017 16:43:39 GMT
Github user dilipbiswal commented on a diff in the pull request:

    https://github.com/apache/spark/pull/15332#discussion_r108726983
  
    --- Diff: sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
---
    @@ -362,7 +375,15 @@ private void readLongBatch(int rowId, int num, ColumnVector column)
throws IOExc
         if (column.dataType() == DataTypes.LongType ||
             DecimalType.is64BitDecimalType(column.dataType())) {
           defColumn.readLongs(
    -          num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
    +              num, column, rowId, maxDefLevel, (VectorizedValuesReader) dataColumn);
    --- End diff --
    
    @squito Thank you for reviewing. I have fixed the indentation.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


Mime
View raw message