On Mon, Dec 11, 2017 at 8:47 PM, Kenneth Knowles wrote:
> In discussion on https://github.com/apache/beam/pull/4135 and offline it
> came up how this should interact with stateful/timely DoFns.
>
> Highlights:
>
> - It was suggested to support it for @OnTimer which would mean
In discussion on https://github.com/apache/beam/pull/4135 and offline it
came up how this should interact with stateful/timely DoFns.
Highlights:
- It was suggested to support it for @OnTimer which would mean that the
state is stable on retry
- But an unfortunate corollary is that for stateful
+1. For example, one might do something like
split_lines_result = (lines
|
beam.ParDo(SplitLinesToWordsFn().with_output_types(
beam.typehints.Generator[int],
Hi Norio,
Thank you for your interest. If you would like to work on this I can assign
the JIRA to you. I do not think this change in sufficient or correct. This
reads as if SplitLinesToWordsFn returns a Tuple of things, however instead
it produces three unrelated collections of different types.
I would suggest that either we use:
1) A common deps package containing shaded dependencies allows for
Pros
* doesn't require the user to build an uber jar
Risks
* dependencies package will keep growing even if something is or isn't
needed by all of Apache Beam leading to a large jar anyways
Intermediate update: right now it's 219 votes on Twitter (and 0 on this
thread: seems that people find Twitter a more convenient medium!), with 96%
who are either on Java 8 or can easily switch, vs. 4% who can not easily
switch.
Using a proportion confidence interval calculator, so far we're
Thanks for bringing that back.
Indeed guava is shaded in different uber-jar. Maybe we can have a common deps
module that we include once (but the user will have to explicitly define the dep) ?
Basically, what do you propose for protobuf (unfortunately, I don't see an
obvious) ?
Regards
JB
Hi,
thanks for the doc. I left some comments.
Regards
JB
On 12/11/2017 05:33 PM, Etienne Chauchot wrote:
Hi all,
I sketched a little doc [1] about this subject. It tries to sum up the
differences between the runners towards metrics extraction and propose some
possible designs to have a
Hello, I wanted to bring back this subject because I think we should
take action on this and at least first have a shaded version of guava.
I was playing with a toy project and I did the procedure we use to
submit jars to a Hadoop cluster via Flink/Spark which involves
creating an uber jar and I
Hi all,
I sketched a little doc [1] about this subject. It tries to sum up the
differences between the runners towards metrics extraction and propose
some possible designs to have a runner agnostic extraction of the metrics.
It is a 2 pages long doc, can you please comment it, and correct it
Hi guys,
These last weeks I've been off one to two days a week, and I'll be off
that way until the end of January.
I just wanted to let you know about this availability decrease.
Etienne
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