Hi all
i need some advice regarding windows usage. i am sure this is a very basic
question, any guidance will be very appreciated
I am using:
- unbounded pcollectionA with FixedWindow of 1 minute from which eventually
i create state and use it as side input.
PCollection> pcollectionA = x.
Hi all,
I just spotted https://github.com/apache/beam/pull/22261 which completely
disables Kafka SDF as default.
I'm currently trying to make it work because the unbounded source version has
performance limitations.
What is your advice ? what is the current most efficient/working way of readi
This is being temporarily disabled due to some substantial issues we've
discovered with the SDF implementation.
Ideally this is temporary, and will be resolved quickly. If the SDF issues
do not affect you, you can avoid upgrading Beam versions temporarily.
On Wed, Jul 20, 2022 at 9:00 AM Jean Wiss
I believe that Read and Write parts of RedisIO are well independent and I’m not
aware of any issues with Write.
—
Alexey
> On 20 Jul 2022, at 00:52, Shivam Singhal wrote:
>
> Hi Alexey!
>
> Thanks for replying.
> I think we will only use RedisIO to write to redis. From your reply & github
>
Thank you!
I will try this out.
One more question on this, is it considered anti-pattern to do HTTP
ingestion on GCP Dataflow due to the reasoning I mentioned in my original
message? I ask because I am getting that indication from some of my
co-workers and also from google cloud support. Not sure i
I don't think it's an antipattern per se. You can implement arbitrary
operations in a DoFn or an SDF to read data.
But if a single resource ID maps to a large amount of data, Beam runners
(including Dataflow) will be able to parallelize reading, hence your
solution may have suboptimal performance
On Wed, Jul 20, 2022 at 12:57 PM Chamikara Jayalath
wrote:
> I don't think it's an antipattern per se. You can implement arbitrary
> operations in a DoFn or an SDF to read data.
>
> But if a single resource ID maps to a large amount of data, Beam runners
> (including Dataflow) will be able to par