Hi Junfeng,
you are welcome. If users are extremely adamant on seeing only a few
columns try to see if you can create a view on only the selected columns
and give it to them, in case you are using hive metastore.
Regards,
Gourav
On Sun, Apr 8, 2018 at 3:28 AM, Junfeng Chen
Hi,
Thanks for explaining!
Regard,
Junfeng Chen
On Wed, Apr 4, 2018 at 7:43 PM, Gourav Sengupta
wrote:
> Hi,
>
> I do not think that in a columnar database it makes much of a difference.
> The amount of data that you will be parsing will not be much anyways.
>
>
Our users ask for it
Regard,
Junfeng Chen
On Wed, Apr 4, 2018 at 5:45 PM, Gourav Sengupta
wrote:
> Hi Junfeng,
>
> can I ask why it is important to remove the empty column?
>
> Regards,
> Gourav Sengupta
>
> On Tue, Apr 3, 2018 at 4:28 AM, Junfeng Chen
Hi Junfeng,
can I ask why it is important to remove the empty column?
Regards,
Gourav Sengupta
On Tue, Apr 3, 2018 at 4:28 AM, Junfeng Chen wrote:
> I am trying to read data from kafka and writing them in parquet format via
> Spark Streaming.
> The problem is, the data
You mean I should start two spark streaming application and read topics
respectively?
Regard,
Junfeng Chen
On Tue, Apr 3, 2018 at 10:31 PM, naresh Goud
wrote:
> I don’t see any option other than staring two individual queries. It’s
> just a thought.
>
> Thank you,
I am trying to read data from kafka and writing them in parquet format via
Spark Streaming.
The problem is, the data from kafka are in variable data structure. For
example, app one has columns A,B,C, app two has columns B,C,D. So the data
frame I read from kafka has all columns ABCD. When I decide