[jira] [Commented] (SPARK-21011) RDD filter can combine/corrupt columns

["Liang-Chi Hsieh (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21011?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16042337#comment-16042337 ] 

Liang-Chi Hsieh commented on SPARK-21011:
-----------------------------------------

I can't re-produce it on current codebase. Because you don't provide test data, I generated a small CSV test file with the same delimiter. And I don't know what the filter condition is, so I use a simple filter on _c0 column. But the results look good.

> RDD filter can combine/corrupt columns
> --------------------------------------
>
>                 Key: SPARK-21011
>                 URL: https://issues.apache.org/jira/browse/SPARK-21011
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.1.0
>            Reporter: Steven Landes
>
> I used PySpark to read in some CSV files (actually separated by backspace, might be relevant).  The resulting dataframe.show() gives me good data - all my columns are there, everything's great.
> df = spark.read.option('delimiter', '\b').csv('<some S3 location>')
> df.show() # all is good here
> Now, I want to filter this bad boy...  but I want to use RDD's filters because they're just nicer to use.
> my_rdd = df.rdd
> my_rdd.take(5) #all my columns are still here
> filtered_rdd = my_rdd.filter(<some filter criteria here>)
> filtered_rdd.take(5)
> My filtered_rdd is missing a column.  Specifically, _c2 has been mashed in to _c1.
> Here's a relevant record (anonymized) from the df.show():
> |3  |Text Field     |12345|<some alphanumeric ID mess here>|150.00|UserName|2012-08-14 00:50:00|2015-02-24 01:23:45|2017-02-34 13:02:33|true|false|
> ...and the return from the filtered_rdd.take()
> Row(_c0=u'3', _c1=u'"Text Field"\x08"12345"', _c2=u'|<some alphanumeric ID mess here>', _c3=u'150.00', _c4=u'UserName', _c5=u'2012-08-14 00:50:00', _c6=u'2015-02-24 01:23:45', _c7=u'2017-02-34 13:02:33', _c8=u'true', _c9=u'false', _c10=None)
> Look at _c1 there - it's been mishmashed together with what was formerly _c2 (with an ascii backspace - \x08 - in there)...  and poor old _c10 is left without a value.



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