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https://issues.apache.org/jira/browse/SPARK-23304?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16350423#comment-16350423
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Thomas Graves commented on SPARK-23304:
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it doesn't look like sql("xyz").rdd.partitions.length comes back correct in
either spark 2.2 or 2.3.
But if I change the query from SELECT COUNT(DISTINCT(bcookie)) . to just SELECT
bookie, then the partitions.length works. So perhaps is something with the
count
spark 2.3 SELECT COUNT(DISTINCT(bcookie))
scala> query.rdd.partitions.length
res4: Int = 1
scala> query.count()
[Stage 5:===============================================> (15420 + 619) / 16039]
spark 2.2 SELECT COUNT(DISTINCT(bcookie)):
scala> query.rdd.partitions.length
res0: Int = 1
scala> query.count()
[Stage 0:==========> (1136 + 1600) / 5346]
spark 2.2 Query with just select bcookie:
scala> query.rdd.partitions.length
res1: Int = 5346
spark 2.3 Query with just select bcookie:
scala> query.rdd.partitions.length
res9: Int = 16039
Note if I change to just be SELECT DISTINCT(bcookie) then I get 200:
scala> query.rdd.partitions.length
res10: Int = 200
> Spark SQL coalesce() against hive not working
> ---------------------------------------------
>
> Key: SPARK-23304
> URL: https://issues.apache.org/jira/browse/SPARK-23304
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1, 2.3.0
> Reporter: Thomas Graves
> Assignee: Xiao Li
> Priority: Major
> Attachments: spark22_oldorc_explain.txt, spark23_oldorc_explain.txt,
> spark23_oldorc_explain_convermetastoreorcfalse.txt
>
>
> The query below seems to ignore the coalesce. This is running spark 2.2 or
> spark 2.3 against hive, which is reading orc:
>
> Query:
> spark.sql("SELECT COUNT(DISTINCT(something)) FROM sometable WHERE dt >=
> '20170301' AND dt <= '20170331' AND something IS NOT
> NULL").coalesce(160000).show()
>
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