[jira] [Commented] (SPARK-20897) cached self-join should not fail

2017-05-26 Thread Michael Armbrust (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-20897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16026588#comment-16026588
 ] 

Michael Armbrust commented on SPARK-20897:
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Is this a regression?  If so, can you please make sure that its targeted at the 
2.2.0 release.

> cached self-join should not fail
> 
>
> Key: SPARK-20897
> URL: https://issues.apache.org/jira/browse/SPARK-20897
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Wenchen Fan
>Assignee: Wenchen Fan
>
> code to reproduce this bug:
> {code}
> // force to plan sort merge join
> spark.conf.set("spark.sql.autoBroadcastJoinThreshold", "0")
> val df = Seq(1 -> "a").toDF("i", "j")
> val df1 = df.as("t1")
> val df2 = df.as("t2")
> assert(df1.join(df2, $"t1.i" === $"t2.i").cache().count() == 1)
> {code}



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[jira] [Commented] (SPARK-20897) cached self-join should not fail

2017-05-26 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-20897?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16026392#comment-16026392
 ] 

Apache Spark commented on SPARK-20897:
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User 'cloud-fan' has created a pull request for this issue:
https://github.com/apache/spark/pull/18121

> cached self-join should not fail
> 
>
> Key: SPARK-20897
> URL: https://issues.apache.org/jira/browse/SPARK-20897
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 2.2.0
>Reporter: Wenchen Fan
>Assignee: Wenchen Fan
>
> code to reproduce this bug:
> {code}
> // force to plan sort merge join
> spark.conf.set("spark.sql.autoBroadcastJoinThreshold", "0")
> val df = Seq(1 -> "a").toDF("i", "j")
> val df1 = df.as("t1")
> val df2 = df.as("t2")
> assert(df1.join(df2, $"t1.i" === $"t2.i").cache().count() == 1)
> {code}



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