[jira] [Resolved] (SPARK-29147) Spark doesn't use shuffleHashJoin as expected

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-29147.
----------------------------------
    Resolution: Invalid

> Spark doesn't use shuffleHashJoin as expected
> ---------------------------------------------
>
>                 Key: SPARK-29147
>                 URL: https://issues.apache.org/jira/browse/SPARK-29147
>             Project: Spark
>          Issue Type: Question
>          Components: Spark Core, SQL
>    Affects Versions: 2.4.3, 2.4.4
>            Reporter: Artsiom Yudovin
>            Priority: Major
>
> I run the following code:
> {code:java}
> val spark = SparkSession.builder()
>       .appName("ShuffleHashJoin")
>       .master("local[*]")
>       .config("spark.sql.autoBroadcastJoinThreshold", 0)
>       .config("spark.sql.join.preferSortMergeJoin", value = false)
>       .getOrCreate()
>     import spark.implicits._
>     val dataset = Seq(
>       ("1", "playing"),
>       ("2", "with"),
>       ("3", "ShuffledHashJoinExec")
>     ).toDF("id", "token")
>     val dataset1 = Seq(
>       ("1", "playing"),
>       ("2", "with"),
>       ("3", "ShuffledHashJoinExec")
>     ).toDF("id1", "token")
>   
>    dataset.join(dataset1, $"id" === $"id1", "inner").foreach(t => println(t))
> {code}
> My expectation that Spark will use 'shuffleHashJoin' but I see in SparkUI and explain() that Spark uses 'sortMergeJoin'



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