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From "Davies Liu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17211) Broadcast join produces incorrect results when compressed Oops differs between driver, executor
Date Fri, 02 Sep 2016 23:02:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15459835#comment-15459835
] 

Davies Liu commented on SPARK-17211:
------------------------------------

Could you try the patch ? https://github.com/apache/spark/pull/14927

> Broadcast join produces incorrect results when compressed Oops differs between driver,
executor
> -----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17211
>                 URL: https://issues.apache.org/jira/browse/SPARK-17211
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.0.0
>            Reporter: Jarno Seppanen
>            Assignee: Davies Liu
>
> Broadcast join produces incorrect columns in join result, see below for an example. The
same join but without using broadcast gives the correct columns.
> Running PySpark on YARN on Amazon EMR 5.0.0.
> {noformat}
> import pyspark.sql.functions as func
> keys = [
>     (54000000, 0),
>     (54000001, 1),
>     (54000002, 2),
> ]
> keys_df = spark.createDataFrame(keys, ['key_id', 'value']).coalesce(1)
> keys_df.show()
> # +--------+-----+
> # |  key_id|value|
> # +--------+-----+
> # |54000000|    0|
> # |54000001|    1|
> # |54000002|    2|
> # +--------+-----+
> data = [
>     (54000002,    1),
>     (54000000,    2),
>     (54000001,    3),
> ]
> data_df = spark.createDataFrame(data, ['key_id', 'foo'])
> data_df.show()
> # +--------+---+                                                                  
> # |  key_id|foo|
> # +--------+---+
> # |54000002|  1|
> # |54000000|  2|
> # |54000001|  3|
> # +--------+---+
> ### INCORRECT ###
> data_df.join(func.broadcast(keys_df), 'key_id').show()
> # +--------+---+--------+                                                         
> # |  key_id|foo|   value|
> # +--------+---+--------+
> # |54000002|  1|54000002|
> # |54000000|  2|54000000|
> # |54000001|  3|54000001|
> # +--------+---+--------+
> ### CORRECT ###
> data_df.join(keys_df, 'key_id').show()
> # +--------+---+-----+
> # |  key_id|foo|value|
> # +--------+---+-----+
> # |54000000|  2|    0|
> # |54000001|  3|    1|
> # |54000002|  1|    2|
> # +--------+---+-----+
> {noformat}



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