Harish created SPARK-17908:

             Summary: Column names Corrupted in pysaprk dataframe groupBy
                 Key: SPARK-17908
                 URL: https://issues.apache.org/jira/browse/SPARK-17908
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.0.1, 2.0.0, 1.6.2, 1.6.1, 1.6.0
            Reporter: Harish
            Priority: Minor

I have DF say df
df1= df.groupBy('key1', 'key2', 

df3 =df.join(df1, ['key1', 'key2', 'key3'])\
             .withcolumn('newcol', func.col('val')/func.col('total'))

I am getting key2 is not present in df1, which is not truw becuase df1.show () 
is having the data with the key2.
Then i added this code  before join-- df1 = df1.columnRenamed('key2', 'key2') 
renamed with same name. Then it works.

Stack trace will say column missing, but it is npt.

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