[ 
https://issues.apache.org/jira/browse/SPARK-17957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Xiao Li reassigned SPARK-17957:
-------------------------------

    Assignee: Xiao Li

> Calling outer join and na.fill(0) and then inner join will miss rows
> --------------------------------------------------------------------
>
>                 Key: SPARK-17957
>                 URL: https://issues.apache.org/jira/browse/SPARK-17957
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.1
>         Environment: Spark 2.0.1, Mac, Local
>            Reporter: Linbo
>            Assignee: Xiao Li
>            Priority: Critical
>              Labels: correctness
>
> I reported a similar bug two months ago and it's fixed in Spark 2.0.1: 
> https://issues.apache.org/jira/browse/SPARK-17060 But I find a new bug: when 
> I insert a na.fill(0) call between outer join and inner join in the same 
> workflow in SPARK-17060 I get wrong result.
> {code:title=spark-shell|borderStyle=solid}
> scala> val a = Seq((1, 2), (2, 3)).toDF("a", "b")
> a: org.apache.spark.sql.DataFrame = [a: int, b: int]
> scala> val b = Seq((2, 5), (3, 4)).toDF("a", "c")
> b: org.apache.spark.sql.DataFrame = [a: int, c: int]
> scala> val ab = a.join(b, Seq("a"), "fullouter").na.fill(0)
> ab: org.apache.spark.sql.DataFrame = [a: int, b: int ... 1 more field]
> scala> ab.show
> +---+---+---+
> |  a|  b|  c|
> +---+---+---+
> |  1|  2|  0|
> |  3|  0|  4|
> |  2|  3|  5|
> +---+---+---+
> scala> val c = Seq((3, 1)).toDF("a", "d")
> c: org.apache.spark.sql.DataFrame = [a: int, d: int]
> scala> c.show
> +---+---+
> |  a|  d|
> +---+---+
> |  3|  1|
> +---+---+
> scala> ab.join(c, "a").show
> +---+---+---+---+
> |  a|  b|  c|  d|
> +---+---+---+---+
> +---+---+---+---+
> {code}
> And again if i use persist, the result is correct. I think the problem is 
> join optimizer similar to this pr: https://github.com/apache/spark/pull/14661
> {code:title=spark-shell|borderStyle=solid}
> scala> val ab = a.join(b, Seq("a"), "outer").na.fill(0).persist
> ab: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [a: int, b: int 
> ... 1 more field]
> scala> ab.show
> +---+---+---+
> |  a|  b|  c|
> +---+---+---+
> |  1|  2|  0|
> |  3|  0|  4|
> |  2|  3|  5|
> +---+---+---+
> scala> ab.join(c, "a").show
> +---+---+---+---+
> |  a|  b|  c|  d|
> +---+---+---+---+
> |  3|  0|  4|  1|
> +---+---+---+---+
> {code}
>   



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to