That's right.
On Sun, Apr 19, 2015 at 8:59 AM, Arun Patel wrote:
> Thanks Ted.
>
> So, whatever the operations I am performing now are DataFrames and not
> SchemaRDD? Is that right?
>
> Regards,
> Venkat
>
> On Sun, Apr 19, 2015 at 9:13 AM, Ted Yu wrote:
>
>> bq. SchemaRDD is not existing in 1
Thanks Ted.
So, whatever the operations I am performing now are DataFrames and not
SchemaRDD? Is that right?
Regards,
Venkat
On Sun, Apr 19, 2015 at 9:13 AM, Ted Yu wrote:
> bq. SchemaRDD is not existing in 1.3?
>
> That's right.
>
> See this thread for more background:
>
> http://search-hado
bq. SchemaRDD is not existing in 1.3?
That's right.
See this thread for more background:
http://search-hadoop.com/m/JW1q5zQ1Xw/spark+DataFrame+schemardd&subj=renaming+SchemaRDD+gt+DataFrame
On Sat, Apr 18, 2015 at 5:43 PM, Abhishek R. Singh <
abhis...@tetrationanalytics.com> wrote:
> I am no
I am no expert myself, but from what I understand DataFrame is grandfathering
SchemaRDD. This was done for API stability as spark sql matured out of alpha as
part of 1.3.0 release.
It is forward looking and brings (dataframe like) syntax that was not available
with the older schema RDD.
On Ap
Experts,
I have few basic questions on DataFrames vs Spark SQL. My confusion is
more with DataFrames.
1) What is the difference between Spark SQL and DataFrames? Are they same?
2) Documentation says SchemaRDD is renamed as DataFrame. This means
SchemaRDD is not existing in 1.3?
3) As per doc
