[jira] [Assigned] (SPARK-33897) Can't set option 'cross' in join method.

2020-12-25 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-33897:


Assignee: GokiMori

> 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
>
> [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.(joinTypes.scala:106)
>  at org.apache.spark.sql.Dataset.join(Dataset.scala:1025)
>  ... 53 elided
> {code}
>  



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[jira] [Assigned] (SPARK-33897) Can't set option 'cross' in join method.

2020-12-23 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33897:


Assignee: Apache Spark

> 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: Apache Spark
>Priority: Minor
>
> [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.(joinTypes.scala:106)
>  at org.apache.spark.sql.Dataset.join(Dataset.scala:1025)
>  ... 53 elided
> {code}
>  



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[jira] [Assigned] (SPARK-33897) Can't set option 'cross' in join method.

2020-12-23 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33897?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33897:


Assignee: (was: Apache Spark)

> 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
>Priority: Minor
>
> [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.(joinTypes.scala:106)
>  at org.apache.spark.sql.Dataset.join(Dataset.scala:1025)
>  ... 53 elided
> {code}
>  



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