3.4 is end of life but 3.5 is not. From your link
we expect to release Python 3.5.8 around September 2019.
From: shane knapp
Sent: Thursday, March 28, 2019 7:54 PM
To: Hyukjin Kwon
Cc: Bryan Cutler; dev; Felix Cheung
Subject: Re: Upgrading minimal PyArrow
looks like the same for 3.5... https://www.python.org/dev/peps/pep-0478/
let's pick a python version and start testing.
On Thu, Mar 28, 2019 at 7:52 PM shane knapp wrote:
>
>> If there was, it looks inevitable to upgrade Jenkins\s Python from 3.4 to
>> 3.5.
>>
>> this is inevitable. 3.4s
>
>
> If there was, it looks inevitable to upgrade Jenkins\s Python from 3.4 to
> 3.5.
>
> this is inevitable. 3.4s final release was 10 days ago (
https://www.python.org/dev/peps/pep-0429/) so we're basically EOL.
Bryan, was there an actual change when to drop Python 3.4 in PyArrow? If
not, I think it might be possible that we can increase the minimal Arrow
version separately.
If there was, it looks inevitable to upgrade Jenkins\s Python from 3.4 to
3.5.
2019년 3월 29일 (금) 오전 1:39, Felix Cheung 님이 작성:
>
(Anybody knows what's the deal with all the .invalid e-mail addresses?)
Anyway. ASF has voting rules, and some things like releases follow
specific rules:
https://www.apache.org/foundation/voting.html#ReleaseVotes
So, for releases, ultimately, the only votes that "count" towards the
final tally
+1 (user vote)
btw what to call a vote that is not pmc or committer?
Some people use "non-binding”, but nobody says “my vote is binding”, and if
some vote is important to me, I still need to look up the who’s-who of the
project to be able to tally the votes.
I like `user vote` for someone who
Hi all,
This is a follow-on to my PR: https://github.com/apache/spark/pull/24208,
where I aimed to enable blacklisting for fetch failure by default. From the
comments, there is interest in the community to enable overall blacklisting
feature by default. I have listed down 3 different things that
+1 from myself
On Thu, Mar 28, 2019 at 3:14 AM Mihaly Toth
wrote:
> +1 (non-binding)
>
> Thanks, Misi
>
> Sean Owen ezt írta (időpont: 2019. márc. 28., Cs,
> 0:19):
>
>> +1 from me - same as last time.
>>
>> On Wed, Mar 27, 2019 at 1:31 PM DB Tsai wrote:
>> >
>> > Please vote on releasing the
https://spark.apache.org/developer-tools.html
search for "Testing K8S".
this is pretty much how i build and test PRs locally... the commands there
are lifted straight from the k8s integration test jenkins build, so they
might require a little tweaking to better suit your laptop/server.
k8s is
That’s not necessarily bad. I don’t know if we have plan to ever release any
new 2.2.x, 2.3.x at this point and we can message this “supported version” of
python change for any new 2.4 release.
Besides we could still support python 3.4 - it’s just more complicated to test
manually without
Hi everyone,
I have a spark libary where I would like to do some action before an
uncaught exception happens (log it, increment an error metric, ...). I
tried multiple times to use
setUncaughtExceptionHandler in the current Thread but this doesn't work. If
I spawn another thread this works fine.
Hi,
you can check your execution plan and you can find from there which *Exec
classes are used. Please notice that in case of wholeStageCodegen, its
children operators are executed inside the wholeStageCodegenExec.
Bests,
Marco
Il giorno gio 28 mar 2019 alle ore 15:21 ehsan shams <
I'd suggest loading the source in an IDE if you want to explore the
code base. It will let you answer this in one click.
Here it's Dataset, as a DataFrame is a Dataset[Row].
On Thu, Mar 28, 2019 at 9:21 AM ehsan shams wrote:
>
> Hi
>
> I would like to know where exactly(which class/function)
Hi
I would like to know where exactly(which class/function) spark sql will
apply the operators on dataset / dataframe rows.
For example by applying the following filter or groupby which class is
responsible for? And will iterate over the rows to do its operation?
Kind regards
Ehsan Shams
val
+1 (non-binding)
Thanks, Misi
Sean Owen ezt írta (időpont: 2019. márc. 28., Cs, 0:19):
> +1 from me - same as last time.
>
> On Wed, Mar 27, 2019 at 1:31 PM DB Tsai wrote:
> >
> > Please vote on releasing the following candidate as Apache Spark version
> 2.4.1.
> >
> > The vote is open until
Hi all,
I have rewritten the design doc based on previous discussing.
https://docs.google.com/document/d/19degwnIIcuMSELv6BQ_1VQI5AIVcvGeqOm5xE2-aRA0
Would be interested to hear what others think.
Regards,
Genmao Yu
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
Hi all,
I have rewritten the design doc based on previous discussing.
https://docs.google.com/document/d/19degwnIIcuMSELv6BQ_1VQI5AIVcvGeqOm5xE2-aRA0
Would be interested to hear what others think.
Regards,
Genmao Yu
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
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