Harish created SPARK-17908:
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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',
'key3').agg(func.count(func.col('val')).alias('total'))
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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