Just to give an update on this, I plan on creating an RC3 as soon as I get
the dataflow containers rebuilt. (Been busy with the beam summit among
other things.)
Except for direct runner fixes and the dataflow tags, I expect it to be the
same as RC2, so testing on flink/apex/spark done now would
Thank you Valentyn for reporting this. I have traced the issue back to
https://github.com/apache/beam/pull/4666, so I have sent out a PR to fix:
https://github.com/apache/beam/pull/4846.
On Fri, Mar 9, 2018 at 2:17 PM, Valentyn Tymofieiev
wrote:
> -1.
>
> Checked Python
-1.
Checked Python Quickstarts (Passed) and Python MobileGaming on
DirectRunner. I observe an issue in BQ sink for hourly teams score example:
https://issues.apache.org/jira/browse/BEAM-3824
On Fri, Mar 9, 2018 at 10:49 AM, Lukasz Cwik wrote:
> I checked that word count
I checked that word count quickstarts (except Dataflow) worked for RC2 to
hopefully prevent an RC4.
On Fri, Mar 9, 2018 at 10:29 AM, Robert Bradshaw
wrote:
> Thanks, Alan, for pointing this out. I see this now, and it looks like I
> need to finish building the dataflow
Thanks, Alan, for pointing this out. I see this now, and it looks like I
need to finish building the dataflow workers so they have something to
point to. I will do this and release an RC3 once that's ready.
In the meantime, it'd be great if we could validate everything else about
this RC such
Also, I figured out how to create Python wheels and put them up at
https://test.pypi.org/project/apache-beam/#files . I'm in the process of
documenting and cleaning up this process.
On Wed, Mar 7, 2018 at 9:26 PM Robert Bradshaw wrote:
> Hi everyone,
>
> Please review and
The symptoms were a Coder that did not properly implement structuralValue
(e.g. it returned the original object whose equals() was not overridden)
but that did have deterministic serialization. Here at every element we're
comparing serialized forms to ensure the elements were not mutated, which
is
This makes me worry that the performance regression is elsewhere, in which
case we should investigate.
On Fri, Mar 9, 2018 at 1:02 AM Etienne Chauchot
wrote:
> Le jeudi 08 mars 2018 à 20:01 +, Reuven Lax a écrit :
>
> Does Nexmark use SerializableCoder?
>
>
> Actually
Le jeudi 08 mars 2018 à 20:01 +, Reuven Lax a écrit :
> Does Nexmark use SerializableCoder?
Actually SerializableCoder is registered in Nexmark but the default and the
current configuration are set to use "by
hand serialization". See:
public static void setupPipeline(CoderStrategy
Yes, the release guide has a segment "Update release specific
configurations" that has a tidbit about this.
On Thu, Mar 8, 2018 at 3:45 PM, Alan Myrvold wrote:
> The dataflow java worker version wasn't updated on the branch as in past
> releases ... should it be?
>
The dataflow java worker version wasn't updated on the branch as in past
releases ... should it be?
https://issues.apache.org/jira/browse/BEAM-3815
On Thu, Mar 8, 2018 at 1:40 PM Romain Manni-Bucau
wrote:
> Can still be provided as a generic one (like the an offset or
Can still be provided as a generic one (like the an offset or key based
one) but good enough for now, right, was just surprising to not see it when
checking the breakage.
Le 8 mars 2018 22:05, "Eugene Kirpichov" a écrit :
All SDF-related method annotations in DoFn are
All SDF-related method annotations in DoFn are marked @Experimental. I
guess that should apply to RestrictionTracker too, but I wouldn't be too
worried about that, since it only makes sense to use in the context of
those methods.
On Thu, Mar 8, 2018 at 12:36 PM Romain Manni-Bucau
Hmm, does sdf api misses some @Experimental then?
To clarify: for waitUntilFinish I'm fine with the 2.4 as this but cant +1
or +0 since none of my tests pass reliably in current state without a retry
strategy making the call useless.
Le 8 mars 2018 21:02, "Reuven Lax" a écrit
On Thu, Mar 8, 2018 at 12:02 PM Reuven Lax wrote:
> Does Nexmark use SerializableCoder?
>
That's what the errors (and fix) for RC1 seemed to indicate.
> On Thu, Mar 8, 2018 at 10:42 AM Robert Bradshaw
> wrote:
>
>> I put the validation checklist
Yes, SDF is an experimental API at this point, so backwards incompatible
changes are allowed and expected.
On Thu, Mar 8, 2018, 10:42 AM Robert Bradshaw wrote:
> I put the validation checklist spreadsheet is up at
>
I put the validation checklist spreadsheet is up at
https://docs.google.com/spreadsheets/d/1qk-N5vjXvbcEk68GjbkSZTR8AGqyNUM-oLFo_ZXBpJw/edit?ts=5a1c7310#gid=1663314475
Regarding the direct runner regression on query 10, this is understandable
given how mutation detection has been changed for
I confirm that the new release fixes both problems reported previously:
- python package name
- nexmark query 10 mutability issue with the direct runner.
One extra regression is that the the fix produced a way longer
execution time on the query.
Not sure if a blocker but worth tracking.
Query
-1:
a) still consider waitUntilFinish broken and a big blocker
b) restrictiontracker api changed and is not backward compatible (
https://github.com/apache/beam/commit/e0034314ad196d2274cef9831ed63e090bf4d4c1#diff-098d7247eb1e9d9423bfa2ae2da38a9d
)
with workarounds and fixes for these two issues
Hi everyone,
Please review and vote on the release candidate #2 for the version 2.4.0,
as follows:
[ ] +1, Approve the release
[ ] -1, Do not approve the release (please provide specific comments)
The complete staging area is available for your review, which includes:
* JIRA release notes [1],
*
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