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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/02/14 21:20:41 UTC
[jira] [Created] (SPARK-19601) Fix CollapseRepartition rule to
preserve shuffle-enabled Repartition
Xiao Li created SPARK-19601:
-------------------------------
Summary: Fix CollapseRepartition rule to preserve shuffle-enabled Repartition
Key: SPARK-19601
URL: https://issues.apache.org/jira/browse/SPARK-19601
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0, 2.0.2
Reporter: Xiao Li
Assignee: Xiao Li
When users use the shuffle-enabled `repartition` API, they expect the partition they got should be the exact number they provided, even if they call shuffle-disabled `coalesce` later. Currently, `CollapseRepartition` rule does not consider whether shuffle is enabled or not. Thus, we got the following unexpected result.
{noformat}
val df = spark.range(0, 10000, 1, 5)
val df2 = df.repartition(10)
assert(df2.coalesce(13).rdd.getNumPartitions == 5)
assert(df2.coalesce(7).rdd.getNumPartitions == 5)
assert(df2.coalesce(3).rdd.getNumPartitions == 3)
{noformat}
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