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https://issues.apache.org/jira/browse/SPARK-33897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-33897.
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Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30803
[https://github.com/apache/spark/pull/30803]
> Can't set option 'cross' in join method.
> ----------------------------------------
>
> Key: SPARK-33897
> URL: https://issues.apache.org/jira/browse/SPARK-33897
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: GokiMori
> Assignee: GokiMori
> Priority: Minor
> Fix For: 3.1.0
>
>
> [The PySpark
> documentation|https://spark.apache.org/docs/3.0.1/api/python/pyspark.sql.html#pyspark.sql.DataFrame.join]
> says "Must be one of: inner, cross, outer, full, fullouter, full_outer,
> left, leftouter, left_outer, right, rightouter, right_outer, semi, leftsemi,
> left_semi, anti, leftanti and left_anti."
> However, I get the following error when I set the cross option.
>
> {code:java}
> scala> val df1 = spark.createDataFrame(Seq((1,"a"),(2,"b")))
> df1: org.apache.spark.sql.DataFrame = [_1: int, _2: string]
> scala> val df2 = spark.createDataFrame(Seq((1,"A"),(2,"B"), (3, "C")))
> df2: org.apache.spark.sql.DataFrame = [_1: int, _2: string]
> scala> df1.join(right = df2, usingColumns = Seq("_1"), joinType =
> "cross").show()
> java.lang.IllegalArgumentException: requirement failed: Unsupported using
> join type Cross
> at scala.Predef$.require(Predef.scala:281)
> at org.apache.spark.sql.catalyst.plans.UsingJoin.<init>(joinTypes.scala:106)
> at org.apache.spark.sql.Dataset.join(Dataset.scala:1025)
> ... 53 elided
> {code}
>
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