progressing? Does that happen at any specific instant (e.g.
> end of window or end of window + allowed lateness)?
> On 6/1/22 15:43, Gorjan Todorovski wrote:
>
> Hi Jan,
>
> I have not checked the harness log. I have now checked it *Apache Beam
> worker log) and found this, but current
id=3-2',
'--logging_endpoint=localhost:35391',
'--artifact_endpoint=localhost:46571',
'--provision_endpoint=localhost:44073',
'--control_endpoint=localhost:44133']
Starting work...
On Wed, Jun 1, 2022 at 11:21 AM Jan Lukavský wrote:
> Hi Gorjan,
>
&g
Hi,
I am running a TensorFlow Extended (TFX) pipeline which uses Apache Beam
for data processing which in turn has a Flink Runner (Basically a batch job
on a Flink Session Cluster on Kubernetes) version 1.13.6, but the job (for
gathering stats) gets stuck.
There is nothing significant in the Job
longer time to process the data?
>>
> It depends on a lot of aspects, such as the type of source you are using,
> the type of operators you are running, etc. Ideally we hope it will just
> take longer but for some specific operators or connectors it might fail.
> This is where user
> worker_pool, which should be just fine.
>
> Best,
>
> Jan
>
> [1]
> https://github.com/apache/beam/blob/af59192ac95a564ca3d29b6385a6d1448f5a407d/sdks/python/apache_beam/runners/worker/worker_pool_main.py#L81
> On 8/14/21 4:37 PM, Gorjan Todorovski wrote:
>
> Hi!
&
Hi!
I need help implementing a native Kubernetes Flink cluster that needs to
run batch jobs (run by TensorFlow Extended), but I am not sure I am
configuring it right as I have issues running jobs on more than one task
manager, while jobs run fine if there is only one TM.
I use the following param
Hi!
I want to implement a Flink cluster as a native Kubernetes session cluster,
with intention of executing Apache Beam jobs that will process only batch
data, but I am not sure I understand how I would scale the cluster if I
need to process large datasets.
My understanding is that to be able to
