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https://issues.apache.org/jira/browse/SPARK-14759?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255935#comment-15255935
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praveen dareddy commented on SPARK-14759:
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Hi Tomasz,
I am new to Spark but would like to help on this issue. I have the environment
set up in my local system. I have quite recently started going through the code
base and am eager to contribute. Can you point me towards the specific module i
need to understand to solve this issue?
Thanks,
Red
> After join one cannot drop dynamically added column
> ---------------------------------------------------
>
> Key: SPARK-14759
> URL: https://issues.apache.org/jira/browse/SPARK-14759
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.1
> Reporter: Tomasz Bartczak
> Priority: Minor
>
> running following code:
> {code}
> from pyspark.sql.functions import *
> df1 = sqlContext.createDataFrame([(1,10,)], ['any','hour'])
> df2 = sqlContext.createDataFrame([(1,)], ['any']).withColumn('hour',lit(10))
> j = df1.join(df2,[df1.hour == df2.hour],how='left')
> print("columns after join:{0}".format(j.columns))
> jj = j.drop(df2.hour)
> print("columns after removing 'hour':{0}".format(jj.columns))
> {code}
> should show that after join and remove df2.hour I end up with only one 'hour'
> column in dataframe.
> Unfortunately this column is not dropped.
> {code}
> columns after join: ['any', 'hour', 'any', 'hour']
> columns after removing 'hour': ['any', 'hour', 'any', 'hour']
> {code}
> I found out that it behaves like that only when the column is added
> dynamically before the join.
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