[jira] [Assigned] (SPARK-33536) Incorrect join results when joining twice with the same DF

2020-12-02 Thread Wenchen Fan (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan reassigned SPARK-33536:
---

Assignee: wuyi

> Incorrect join results when joining twice with the same DF
> --
>
> Key: SPARK-33536
> URL: https://issues.apache.org/jira/browse/SPARK-33536
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0
>Reporter: wuyi
>Assignee: wuyi
>Priority: Major
>
> {code:java}
> val emp1 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop"),
>   TestData(4, "IT")).toDS()
> val emp2 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop")).toDS()
> val emp3 = emp1.join(emp2, emp1("key") === emp2("key")).select(emp1("*"))
> emp1.join(emp3, emp1.col("key") === emp3.col("key"), 
> "left_outer").select(emp1.col("*"), emp3.col("key").as("e2")).show()
> // wrong result
> +---+-+---+
> |key|value| e2|
> +---+-+---+
> |  1|sales|  1|
> |  2|personnel|  2|
> |  3|  develop|  3|
> |  4|   IT|  4|
> +---+-+---+
> {code}



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[jira] [Assigned] (SPARK-33536) Incorrect join results when joining twice with the same DF

2020-11-24 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33536:


Assignee: (was: Apache Spark)

> Incorrect join results when joining twice with the same DF
> --
>
> Key: SPARK-33536
> URL: https://issues.apache.org/jira/browse/SPARK-33536
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0
>Reporter: wuyi
>Priority: Major
>
> {code:java}
> val emp1 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop"),
>   TestData(4, "IT")).toDS()
> val emp2 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop")).toDS()
> val emp3 = emp1.join(emp2, emp1("key") === emp2("key")).select(emp1("*"))
> emp1.join(emp3, emp1.col("key") === emp3.col("key"), 
> "left_outer").select(emp1.col("*"), emp3.col("key").as("e2")).show()
> // wrong result
> +---+-+---+
> |key|value| e2|
> +---+-+---+
> |  1|sales|  1|
> |  2|personnel|  2|
> |  3|  develop|  3|
> |  4|   IT|  4|
> +---+-+---+
> {code}



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[jira] [Assigned] (SPARK-33536) Incorrect join results when joining twice with the same DF

2020-11-24 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-33536?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-33536:


Assignee: Apache Spark

> Incorrect join results when joining twice with the same DF
> --
>
> Key: SPARK-33536
> URL: https://issues.apache.org/jira/browse/SPARK-33536
> Project: Spark
>  Issue Type: Bug
>  Components: SQL
>Affects Versions: 3.0.0, 3.0.1, 3.1.0
>Reporter: wuyi
>Assignee: Apache Spark
>Priority: Major
>
> {code:java}
> val emp1 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop"),
>   TestData(4, "IT")).toDS()
> val emp2 = Seq[TestData](
>   TestData(1, "sales"),
>   TestData(2, "personnel"),
>   TestData(3, "develop")).toDS()
> val emp3 = emp1.join(emp2, emp1("key") === emp2("key")).select(emp1("*"))
> emp1.join(emp3, emp1.col("key") === emp3.col("key"), 
> "left_outer").select(emp1.col("*"), emp3.col("key").as("e2")).show()
> // wrong result
> +---+-+---+
> |key|value| e2|
> +---+-+---+
> |  1|sales|  1|
> |  2|personnel|  2|
> |  3|  develop|  3|
> |  4|   IT|  4|
> +---+-+---+
> {code}



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