Xiao Li created SPARK-19601:
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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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