Hi Derek, yes you can use that mailing list and also the SO channel.

Cheers,
G


> BTW, do you know if there's a Dataflow mailing list for questions like
> this? Would dataflow-feedback be the appropriate mailing list?
>
> Thanks,
>
> Derek
>
> On Wed, Oct 25, 2017 at 10:58 AM, Griselda Cuevas <[email protected]> wrote:
>
>> Hi Derek - It sounds like this is a Dataflow specific questions so I'd
>> recommend you also reach out through the Dataflow's Stack Overflow
>> <https://stackoverflow.com/questions/tagged/google-cloud-dataflow>
>> channel. I'm also cc'ing Thomas Groh who might be able to help.
>>
>>
>>
>> On 20 October 2017 at 11:35, Derek Hao Hu <[email protected]> wrote:
>>
>>> ​Kindly ping as I'm really curious about this. :p
>>>
>>> Derek​
>>>
>>> On Thu, Oct 19, 2017 at 2:15 PM, Derek Hao Hu <[email protected]>
>>> wrote:
>>>
>>>> Hi,
>>>>
>>>> ​We are trying to use Dataflow in Prod and right now one of our main
>>>> concerns is this "infinite retry" behavior which might stall the whole
>>>> pipeline.
>>>>
>>>> Right now for all the DoFns we've implemented ourselves we've added
>>>> some error handling or exception swallowing mechanism to make sure some
>>>> bundles can just fail and we log the exceptions. But we are a bit concerned
>>>> about the other Beam native transforms which we can not easily wrap, e.g.
>>>> PubSubIO transforms and DatastoreV1 transforms.
>>>>
>>>> A few days ago I asked a specific question in this group about how one
>>>> can catch exception in DatastoreV1 transforms and the recommended approach
>>>> is to 1) either duplicate the code in the current DatastoreV1
>>>> implementation and swallow the exception instead of throwing or 2) Follow
>>>> the implementation of BigQueryIO to add the ability to support custom retry
>>>> policy. Both are feasible options but I'm a bit concerned in that doesn't
>>>> that mean eventually all Beam native transforms need to implement something
>>>> like 2) if we want to use them in Prod?
>>>>
>>>> So in short, I want to know right now what is the recommended approach
>>>> or workaround to say, hey, just let this bundle fail and we can process the
>>>> rest of the elements instead of just stall the pipeline?
>>>>
>>>> Thanks!
>>>> --
>>>> Derek Hao Hu
>>>>
>>>> Software Engineer | Snapchat
>>>> Snap Inc.
>>>>
>>>
>>>
>>>
>>> --
>>> Derek Hao Hu
>>>
>>> Software Engineer | Snapchat
>>> Snap Inc.
>>>
>>
>>
>
>
> --
> Derek Hao Hu
>
> Software Engineer | Snapchat
> Snap Inc.
>

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