[jira] [Created] (SPARK-31164) Inconsistent rdd and output partitioning for bucket table when output doesn't contain all bucket columns

Mon, 16 Mar 2020 02:36:27 -0700 

Zhenhua Wang created SPARK-31164:
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             Summary: Inconsistent rdd and output partitioning for bucket table 
when output doesn't contain all bucket columns
                 Key: SPARK-31164
                 URL: https://issues.apache.org/jira/browse/SPARK-31164
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.4.5, 3.0.0
            Reporter: Zhenhua Wang


For a bucketed table, when deciding output partitioning, if the output doesn't 
contain all bucket columns, the result is `UnknownPartitioning`. But when 
generating rdd, current Spark uses `createBucketedReadRDD` because it doesn't 
check if the output contains all bucket columns. So the rdd and it's output 
partitioning are inconsistent.



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