Just FYI, not to block the release. We found an issue with PySpark barrier
execution mode: https://issues.apache.org/jira/browse/SPARK-25921. We
should list it as a known issues in the release notes and get it fixed in
2.4.1. -Xiangrui
On Thu, Nov 1, 2018 at 12:19 AM Wenchen Fan wrote:
> This
This vote passes! I'll follow up with a formal release announcement soon.
+1:
Xiao Li (binding)
Sean Owen (binding)
Gengliang Wang
Hyukjin Kwon
Wenchen Fan (binding)
Ryan Blue
Bryan Cutler
Marcelo Vanzin (binding)
Reynold Xin (binding)
Chitral Verma
Dilip Biswal
Denny Lee
Felix Cheung (binding)
+1
Cheers,
Dongjoon.
+1
Checked R doc and all R API changes
From: Denny Lee
Sent: Wednesday, October 31, 2018 9:13 PM
To: Chitral Verma
Cc: Wenchen Fan; dev@spark.apache.org
Subject: Re: [VOTE] SPARK 2.4.0 (RC5)
+1
On Wed, Oct 31, 2018 at 12:54 PM Chitral Verma
mailto:chitralve
+1
On Wed, Oct 31, 2018 at 12:54 PM Chitral Verma
wrote:
> +1
>
> On Wed, 31 Oct 2018 at 11:56, Reynold Xin wrote:
>
>> +1
>>
>> Look forward to the release!
>>
>>
>>
>> On Mon, Oct 29, 2018 at 3:22 AM Wenchen Fan wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark
+1
Look forward to the release!
On Mon, Oct 29, 2018 at 3:22 AM Wenchen Fan wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.4.0.
>
> The vote is open until November 1 PST and passes if a majority +1 PMC
> votes are cast, with
> a minimum of 3 +1 votes.
>
+1
On Mon, Oct 29, 2018 at 3:22 AM Wenchen Fan wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.4.0.
>
> The vote is open until November 1 PST and passes if a majority +1 PMC votes
> are cast, with
> a minimum of 3 +1 votes.
>
> [ ] +1 Release this package
+1
On Tue, Oct 30, 2018 at 4:42 AM Wenchen Fan wrote:
> Thanks for reporting the bug! I'll list it as a known issue for 2.4.0
>
> I'm adding my own +1, since all the known blockers are resolved.
>
> On Tue, Oct 30, 2018 at 2:56 PM Xiao Li wrote:
>
>> Yes, this is not a blocker.
>>
Thanks for reporting the bug! I'll list it as a known issue for 2.4.0
I'm adding my own +1, since all the known blockers are resolved.
On Tue, Oct 30, 2018 at 2:56 PM Xiao Li wrote:
> Yes, this is not a blocker.
> "spark.sql.optimizer.nestedSchemaPruning.enabled" is intentionally off by
>
Yes, this is not a blocker.
"spark.sql.optimizer.nestedSchemaPruning.enabled" is intentionally off by
default. As DB Tsai said, column pruning of nested schema for Parquet
tables is experimental. In this release, we encourage the whole community
to try this new feature but it might have bugs like
+0
I understand that schema pruning is an experimental feature in Spark
2.4, and this can help a lot in read performance as people are trying
to keep the hierarchical data in nested format.
We just found a serious bug---it could fail parquet reader if a nested
field and top level field are
+1
2018년 10월 30일 (화) 오전 11:03, Gengliang Wang 님이 작성:
> +1
>
> > 在 2018年10月30日，上午10:41，Sean Owen 写道：
> >
> > +1
> >
> > Same result as in RC4 from me, and the issues I know of that were
> > raised with RC4 are resolved. I tested vs Scala 2.12 and 2.11.
> >
> > These items are still targeted to
+1
> 在 2018年10月30日，上午10:41，Sean Owen 写道：
>
> +1
>
> Same result as in RC4 from me, and the issues I know of that were
> raised with RC4 are resolved. I tested vs Scala 2.12 and 2.11.
>
> These items are still targeted to 2.4.0; Xiangrui I assume these
> should just be untargeted now, or
+1
Same result as in RC4 from me, and the issues I know of that were
raised with RC4 are resolved. I tested vs Scala 2.12 and 2.11.
These items are still targeted to 2.4.0; Xiangrui I assume these
should just be untargeted now, or resolved?
SPARK-25584 Document libsvm data source in doc site
+1
On Mon, Oct 29, 2018 at 3:22 AM Wenchen Fan wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.4.0.
>
> The vote is open until November 1 PST and passes if a majority +1 PMC
> votes are cast, with
> a minimum of 3 +1 votes.
>
> [ ] +1 Release this package
Please vote on releasing the following candidate as Apache Spark version
2.4.0.
The vote is open until November 1 PST and passes if a majority +1 PMC votes
are cast, with
a minimum of 3 +1 votes.
[ ] +1 Release this package as Apache Spark 2.4.0
[ ] -1 Do not release this package because ...
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