> It doesn't make any mention of differences based on final pipeline state.
> So I would interpret it to mean counters should also be available for
> canceled pipelines.
Good point! Thanks!
On 2017-11-13 11:19, Scott Wegner wrote:
> The javadoc for the Metrics utility states [1]:
>
> "It i
The javadoc for the Metrics utility states [1]:
"It is runner-dependent whether Metrics are accessible during pipeline
execution or only after jobs have completed."
It doesn't make any mention of differences based on final pipeline state.
So I would interpret it to mean counters should also be
There has been plenty of time for comments on the PR and the approach.
So far Ken Knowles has provided the most feedback on the PR, Ken would you
like to finish the review?
On Fri, Nov 10, 2017 at 1:22 PM, Romain Manni-Bucau
wrote:
> This is only a setup thing and better to not break the mast
Hi,
my target is to have Spark 2.x support in Beam 2.3.0.
Regards
JB
On 11/13/2017 12:22 PM, Nishu wrote:
Hi Jean,
Thanks for your response. So when can we expect Spark 2.x support for
spark runner?
Thanks,
Nishu
On Mon, Nov 13, 2017 at 11:53 AM, Jean-Baptiste Onofré
wrote:
Hi,
Regardi
Hi Jean,
Thanks for your response. So when can we expect Spark 2.x support for
spark runner?
Thanks,
Nishu
On Mon, Nov 13, 2017 at 11:53 AM, Jean-Baptiste Onofré
wrote:
> Hi,
>
> Regarding your question:
>
> 1. Not yet, but as you might have seen on the mailing list, we have a PR
> about Spar
Hi,
Regarding your question:
1. Not yet, but as you might have seen on the mailing list, we have a PR about
Spark 2.x support.
2. We have additional triggers supported and in progress. GroupByKey and
Accumator are also supported.
3. No, I did the change to both allows you to define the def
Hi Team,
I am writing a streaming pipeline in Apache beam using spark runner.
Use case : To join the multiple kafka streams using windowed collections.
I use GroupByKey to group the events based on common business key and that
output is used as input for Join operation. Pipeline run on direct runn