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From "Michael Armbrust (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-6231) Join on two tables (generated from same one) is broken
Date Tue, 17 Mar 2015 00:04:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Michael Armbrust updated SPARK-6231:
------------------------------------
    Target Version/s: 1.3.1

> Join on two tables (generated from same one) is broken
> ------------------------------------------------------
>
>                 Key: SPARK-6231
>                 URL: https://issues.apache.org/jira/browse/SPARK-6231
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0, 1.4.0
>            Reporter: Davies Liu
>            Assignee: Michael Armbrust
>            Priority: Critical
>              Labels: DataFrame
>
> If the two column used in joinExpr come from the same table, they have the same id, then
the joniExpr is explained in wrong way.
> {code}
> val df = sqlContext.load(path, "parquet")
> val txns = df.groupBy("cust_id").agg($"cust_id", countDistinct($"day_num").as("txns"))
> val spend = df.groupBy("cust_id").agg($"cust_id", sum($"extended_price").as("spend"))
> val rmJoin = txns.join(spend, txns("cust_id") === spend("cust_id"), "inner")
> scala> rmJoin.explain
> == Physical Plan ==
> CartesianProduct
>  Filter (cust_id#0 = cust_id#0)
>   Aggregate false, [cust_id#0], [cust_id#0,CombineAndCount(partialSets#25) AS txns#7L]
>    Exchange (HashPartitioning [cust_id#0], 200)
>     Aggregate true, [cust_id#0], [cust_id#0,AddToHashSet(day_num#2L) AS partialSets#25]
>      PhysicalRDD [cust_id#0,day_num#2L], MapPartitionsRDD[1] at map at newParquet.scala:542
>  Aggregate false, [cust_id#17], [cust_id#17,SUM(PartialSum#38) AS spend#8]
>   Exchange (HashPartitioning [cust_id#17], 200)
>    Aggregate true, [cust_id#17], [cust_id#17,SUM(extended_price#20) AS PartialSum#38]
>     PhysicalRDD [cust_id#17,extended_price#20], MapPartitionsRDD[3] at map at newParquet.scala:542
> {code}



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