[jira] [Assigned] (SPARK-36123) Parquet vectorized reader doesn't skip null values correctly

2021-07-13 Thread Dongjoon Hyun (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-36123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Dongjoon Hyun reassigned SPARK-36123:
-

Assignee: Chao Sun

> Parquet vectorized reader doesn't skip null values correctly
> 
>
> Key: SPARK-36123
> URL: https://issues.apache.org/jira/browse/SPARK-36123
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.2.0
>Reporter: Chao Sun
>Assignee: Chao Sun
>Priority: Blocker
>  Labels: correctness
>
> Currently when Parquet column index is effective, the vectorized reader 
> doesn't skip null values properly which will cause incorrect result.



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[jira] [Assigned] (SPARK-36123) Parquet vectorized reader doesn't skip null values correctly

2021-07-13 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-36123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-36123:


Assignee: Apache Spark

> Parquet vectorized reader doesn't skip null values correctly
> 
>
> Key: SPARK-36123
> URL: https://issues.apache.org/jira/browse/SPARK-36123
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.2.0
>Reporter: Chao Sun
>Assignee: Apache Spark
>Priority: Blocker
>  Labels: correctness
>
> Currently when Parquet column index is effective, the vectorized reader 
> doesn't skip null values properly which will cause incorrect result.



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[jira] [Assigned] (SPARK-36123) Parquet vectorized reader doesn't skip null values correctly

2021-07-13 Thread Apache Spark (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-36123?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-36123:


Assignee: (was: Apache Spark)

> Parquet vectorized reader doesn't skip null values correctly
> 
>
> Key: SPARK-36123
> URL: https://issues.apache.org/jira/browse/SPARK-36123
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.2.0
>Reporter: Chao Sun
>Priority: Blocker
>  Labels: correctness
>
> Currently when Parquet column index is effective, the vectorized reader 
> doesn't skip null values properly which will cause incorrect result.



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