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} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org