different Row objects?

Hey Friends, Recently I have been using Spark 1.3.1, mainly pyspark.sql. I noticed that the Row object collected directly from a DataFrame is different from the Row object we directly defined from Row(*arg, **kwarg). >>>from pyspark.sql.types import Row >>>aaa = Row(a=1, b=2, c=Row(a=1, b=2))

Re: different Row objects?

This was fixed by 1.5, could you download 1.5-RC3 to test this? On Thu, Sep 3, 2015 at 4:45 PM, Wei Chen wrote: > Hey Friends, > > Recently I have been using Spark 1.3.1, mainly pyspark.sql. I noticed that > the Row object collected directly from a DataFrame is