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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-13393) Column mismatch issue in left_outer join using Spark DataFrame
Date Fri, 15 Jul 2016 20:21:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-13393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yin Huai updated SPARK-13393:
-----------------------------
    Assignee:     (was: Xiang Zhong)

> Column mismatch issue in left_outer join using Spark DataFrame
> --------------------------------------------------------------
>
>                 Key: SPARK-13393
>                 URL: https://issues.apache.org/jira/browse/SPARK-13393
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Varadharajan
>
> Consider the below snippet:
> {code:title=test.scala|borderStyle=solid}
> case class Person(id: Int, name: String)
> val df = sc.parallelize(List(
>   Person(1, "varadha"),
>   Person(2, "nagaraj")
> )).toDF
> val varadha = df.filter("id = 1")
> val errorDF = df.join(varadha, df("id") === varadha("id"), "left_outer").select(df("id"),
varadha("id") as "varadha_id")
> val nagaraj = df.filter("id = 2").select(df("id") as "n_id")
> val correctDF = df.join(nagaraj, df("id") === nagaraj("n_id"), "left_outer").select(df("id"),
nagaraj("n_id") as "nagaraj_id")
> {code}
> The `errorDF` dataframe, after the left join is messed up and shows as below:
> | id|varadha_id|
> |  1|         1|
> |  2|         2 (*This should've been null*)| 
> whereas correctDF has the correct output after the left join:
> | id|nagaraj_id|
> |  1|      null|
> |  2|         2|



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