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))
>>>
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 different from the Row
> object we