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Posted to issues@spark.apache.org by "Jacek Laskowski (JIRA)" <ji...@apache.org> on 2017/04/10 12:11:41 UTC

[jira] [Created] (SPARK-20281) Table-valued function range in SQL should use the same number of partitions as spark.range

Jacek Laskowski created SPARK-20281:
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             Summary: Table-valued function range in SQL should use the same number of partitions as spark.range
                 Key: SPARK-20281
                 URL: https://issues.apache.org/jira/browse/SPARK-20281
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.2.0
            Reporter: Jacek Laskowski
            Priority: Minor


Note the different number of partitions in {{range}} in SQL and as operator.

{code}
scala> spark.range(4).explain
== Physical Plan ==
*Range (0, 4, step=1, splits=Some(8)) // <-- note Some(8)

scala> sql("select * from range(4)").explain
== Physical Plan ==
*Range (0, 4, step=1, splits=None) // <-- note None
{code}

If I'm not mistaken, the change is to fix {{builtinFunctions}} in {{ResolveTableValuedFunctions}} (see [https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveTableValuedFunctions.scala#L82-L93]) to use {{sparkContext.defaultParallelism}} as {{SparkSession.range}} (see [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala#L517]).

Please confirm to work on a fix if and as needed.



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