spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Liang-Chi Hsieh (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-13333) DataFrame filter + randn + unionAll has bad interaction
Date Wed, 17 Feb 2016 08:08:18 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15150072#comment-15150072
] 

Liang-Chi Hsieh edited comment on SPARK-13333 at 2/17/16 8:07 AM:
------------------------------------------------------------------

Isn't it weird? Suppose each partition should have different random numbers.


was (Author: viirya):
Isn't weird? Suppose each partition should have different random numbers.

> DataFrame filter + randn + unionAll has bad interaction
> -------------------------------------------------------
>
>                 Key: SPARK-13333
>                 URL: https://issues.apache.org/jira/browse/SPARK-13333
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.2, 1.6.1, 2.0.0
>            Reporter: Joseph K. Bradley
>
> Buggy workflow
> * Create a DataFrame df0
> * Filter df0
> * Add a randn column
> * Create a copy of the DataFrame
> * unionAll the two DataFrames
> This fails, where randn produces the same results on the original DataFrame and the copy
before unionAll but fails to do so after unionAll.  Removing the filter fixes the problem.
> The bug can be reproduced on master:
> {code}
> import org.apache.spark.sql.functions.randn
> val df0 = sqlContext.createDataFrame(Seq(0, 1).map(Tuple1(_))).toDF("id")
> // Removing the following filter() call makes this give the expected result.
> val df1 = df0.filter(col("id") === 0).withColumn("b", randn(12345))
> println("DF1")
> df1.show()
> val df2 = df1.select("id", "b")
> println("DF2")
> df2.show()  // same as df1.show(), as expected
> val df3 = df1.unionAll(df2)
> println("DF3")
> df3.show()  // NOT two copies of df1, which is unexpected
> {code}



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

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


Mime
View raw message