This vote passes with 14 +1 (7 binding) votes and no 0 or -1 votes.
+1 (14):
Patrick Wendell
Reynold Xin
Sean Owen
Burak Yavuz
Mark Hamstra
Michael Armbrust
Andrew Or
York, Brennon
Krishna Sankar
Luciano Resende
Holden Karau
Tom Graves
Denny Lee
Sean McNamara
- Patrick
On Wed, Jul 8, 2015 at 10:
I think we can close this vote soon. Any addition votes/testing would
be much appreciated!
On Fri, Jul 10, 2015 at 11:30 AM, Sean McNamara
wrote:
> +1
>
> Sean
>
>> On Jul 8, 2015, at 11:55 PM, Patrick Wendell wrote:
>>
>> Please vote on releasing the following candidate as Apache Spark version
+1
Sean
> On Jul 8, 2015, at 11:55 PM, Patrick Wendell wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.org/spark-1.4.1
>
> The tag to be voted on is v1
+1 (non binding)
On Fri, Jul 10, 2015 at 9:12 PM Tom Graves
wrote:
> +1
>
> Tom
>
>
>
> On Thursday, July 9, 2015 12:55 AM, Patrick Wendell
> wrote:
>
>
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spar
+1
Tom
On Thursday, July 9, 2015 12:55 AM, Patrick Wendell
wrote:
Please vote on releasing the following candidate as Apache Spark version 1.4.1!
This release fixes a handful of known issues in Spark 1.4.0, listed here:
http://s.apache.org/spark-1.4.1
The tag to be voted on is v1.
+1 - compiled on ubuntu & centos, spark-perf run against yarn in client
mode on a small cluster comparing 1.4.0 & 1.4.1 (for core) doesn't have any
huge jumps (albeit with a small scaling factor).
On Wed, Jul 8, 2015 at 11:58 PM, Patrick Wendell wrote:
> +1
>
> On Wed, Jul 8, 2015 at 10:55 PM, P
+1 (non-binding) mostly looking in the legal aspects of the release.
On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://
+1
1. Compiled OSX 10.10 (Yosemite) OK Total time: 38:11 min
mvn clean package -Pyarn -Phadoop-2.6 -DskipTests
2. Tested pyspark, mllib
2.1. statistics (min,max,mean,Pearson,Spearman) OK
2.2. Linear/Ridge/Laso Regression OK
2.3. Decision Tree, Naive Bayes OK
2.4. KMeans OK
Center And S
+1 (non-binding)
* ran spark-on-YARN MLLib ALS recommendation pipeline (success)
* no regression / performance issues
* ran spark-on-YARN GraphX pipeline (success)
* no regression / performance issues
On 7/8/15, 10:55 PM, "Patrick Wendell" wrote:
>Please vote on releasing the following ca
+1
2015-07-09 10:26 GMT-07:00 Michael Armbrust :
> +1
>
> On Thu, Jul 9, 2015 at 10:07 AM, Mark Hamstra
> wrote:
>
>> +1
>>
>> On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell
>> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 1.4.1!
>>>
>>> This relea
+1
On Thu, Jul 9, 2015 at 10:07 AM, Mark Hamstra
wrote:
> +1
>
> On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell
> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 1.4.1!
>>
>> This release fixes a handful of known issues in Spark 1.4.0, listed here:
>> h
+1
On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.org/spark-1.4.1
>
> The tag to be voted on is v1.4.1-rc4
+1 nonbinding.
On Thu, Jul 9, 2015 at 7:38 AM, Sean Owen wrote:
> +1 nonbinding. All previous RC issues appear resolved. All tests pass
> with the "-Pyarn -Phadoop-2.6 -Phive -Phive-thriftserver" invocation.
> Signatures et al are OK.
>
> On Thu, Jul 9, 2015 at 6:55 AM, Patrick Wendell
> wrote:
+1 nonbinding. All previous RC issues appear resolved. All tests pass
with the "-Pyarn -Phadoop-2.6 -Phive -Phive-thriftserver" invocation.
Signatures et al are OK.
On Thu, Jul 9, 2015 at 6:55 AM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
>
+1
On Wed, Jul 8, 2015 at 11:58 PM, Patrick Wendell wrote:
> +1
>
> On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell
> wrote:
> > Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
> >
> > This release fixes a handful of known issues in Spark 1.4.0, listed here:
>
+1
On Wed, Jul 8, 2015 at 10:55 PM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.org/spark-1.4.1
>
> The tag to be voted on is v1.4.1-rc4
Please vote on releasing the following candidate as Apache Spark version 1.4.1!
This release fixes a handful of known issues in Spark 1.4.0, listed here:
http://s.apache.org/spark-1.4.1
The tag to be voted on is v1.4.1-rc4 (commit dbaa5c2):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=co
This vote is cancelled in favor of RC4.
- Patrick
On Tue, Jul 7, 2015 at 12:06 PM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.org/spark
Hey All,
The issue that Josh pointed out is not just a test failure, it's an
issue with an important bug fix that was not correctly back-ported
into the 1.4 branch. Unfortunately the overall state of the 1.4 branch
tests on Jenkins was not in great shape so this was missed earlier on.
Given that
I've filed https://issues.apache.org/jira/browse/SPARK-8903 to fix the
DataFrameStatSuite test failure. The problem turned out to be caused by a
mistake made while resolving a merge-conflict when backporting that patch
to branch-1.4.
I've submitted https://github.com/apache/spark/pull/7295 to fix
I see, but shouldn't this test not be run when Hive isn't in the build?
On Wed, Jul 8, 2015 at 7:13 PM, Andrew Or wrote:
> @Sean You actually need to run HiveSparkSubmitSuite with `-Phive` and
> `-Phive-thriftserver`. The MissingRequirementsError is just complaining that
> it can't find the right
@Sean You actually need to run HiveSparkSubmitSuite with `-Phive` and
`-Phive-thriftserver`. The MissingRequirementsError is just complaining
that it can't find the right classes. The other one (DataFrameStatSuite) is
a little more concerning.
2015-07-08 10:43 GMT-07:00 Pradeep Bashyal :
> Hi Shi
Hi Shivaram,
I created a Jira Issue for the documentation error.
https://issues.apache.org/jira/browse/SPARK-8901
Thanks
Pradeep
On Wed, Jul 8, 2015 at 11:40 AM, Shivaram Venkataraman <
shiva...@eecs.berkeley.edu> wrote:
> Hi Pradeep
>
> Thanks for the catch -- Lets open a JIRA and PR for it.
Yeah - we can fix the docs separately from the release.
- Patrick
On Wed, Jul 8, 2015 at 10:03 AM, Mark Hamstra wrote:
> HiveSparkSubmitSuite is fine for me, but I do see the same issue with
> DataFrameStatSuite -- OSX 10.10.4, java
>
> 1.7.0_75, -Phive -Phive-thriftserver -Phadoop-2.4 -Pyarn
>
HiveSparkSubmitSuite is fine for me, but I do see the same issue with
DataFrameStatSuite
-- OSX 10.10.4, java
1.7.0_75, -Phive -Phive-thriftserver -Phadoop-2.4 -Pyarn
On Wed, Jul 8, 2015 at 4:18 AM, Sean Owen wrote:
> The POM issue is resolved and the build succeeds. The license and sigs
> stil
Hi Pradeep
Thanks for the catch -- Lets open a JIRA and PR for it. I don't think
documentation changes affect the release though Patrick can confirm that.
Thanks
Shivaram
On Wed, Jul 8, 2015 at 9:35 AM, Pradeep Bashyal wrote:
> Here's one thing I ran into:
>
> The SparkR documentation example
Although that should be fixed if it's incorrect, it's not something
that would nearly block a release. The question here is whether this
artifact can be released as 1.4.1, or whether it has a blocking
regression from 1.4.0.
On Wed, Jul 8, 2015 at 5:35 PM, Pradeep Bashyal wrote:
> Here's one thing
Here's one thing I ran into:
The SparkR documentation example in
http://people.apache.org/~pwendell/spark-releases/latest/sparkr.html is
incorrect.
sc <- sparkR.init(packages="com.databricks:spark-csv_2.11:1.0.3")
should be
sc <- sparkR.init(sparkPackages="com.databricks:spark-csv_2.11:
The POM issue is resolved and the build succeeds. The license and sigs
still work. The tests pass for me with "-Pyarn -Phadoop-2.6", with the
following two exceptions. Is anyone else seeing these? this is
consistent on Ubuntu 14 with Java 7/8:
DataFrameStatSuite:
...
- special crosstab elements (.
+1 (non-binding, of course)
1. Compiled OSX 10.10 (Yosemite) OK Total time: 27:24 min
mvn clean package -Pyarn -Phadoop-2.6 -DskipTests
2. Tested pyspark, mllib
2.1. statistics (min,max,mean,Pearson,Spearman) OK
2.2. Linear/Ridge/Laso Regression OK
2.3. Decision Tree, Naive Bayes OK
2.4. KMea
+1
Verified that the previous blockers SPARK-8781 and SPARK-8819 are now
resolved.
2015-07-07 12:06 GMT-07:00 Patrick Wendell :
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http
Please vote on releasing the following candidate as Apache Spark version 1.4.1!
This release fixes a handful of known issues in Spark 1.4.0, listed here:
http://s.apache.org/spark-1.4.1
The tag to be voted on is v1.4.1-rc3 (commit 3e8ae38):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=co
Hey All,
This vote is cancelled in favor of RC3.
- Patrick
On Fri, Jul 3, 2015 at 1:15 PM, Patrick Wendell wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.
Let's continue the disucssion on the other thread relating to the master build.
On Fri, Jul 3, 2015 at 4:13 PM, Patrick Wendell wrote:
> Thanks - it appears this is just a legitimate issue with the build,
> affecting all versions of Maven.
>
> On Fri, Jul 3, 2015 at 4:02 PM, Krishna Sankar wrote
Thanks - it appears this is just a legitimate issue with the build,
affecting all versions of Maven.
On Fri, Jul 3, 2015 at 4:02 PM, Krishna Sankar wrote:
> I have 3.3.3
> USS-Defiant:NW ksankar$ mvn -version
> Apache Maven 3.3.3 (7994120775791599e205a5524ec3e0dfe41d4a06;
> 2015-04-22T04:57:37-07
I have 3.3.3
USS-Defiant:NW ksankar$ mvn -version
Apache Maven 3.3.3 (7994120775791599e205a5524ec3e0dfe41d4a06;
2015-04-22T04:57:37-07:00)
Maven home: /usr/local/apache-maven-3.3.3
Java version: 1.7.0_60, vendor: Oracle Corporation
Java home:
/Library/Java/JavaVirtualMachines/jdk1.7.0_60.jdk/Conten
Hm - what if you do a fresh git checkout (just to make sure you don't
have an older maven version downloaded). It also might be that this
really is an issue even with Maven 3.3.3. I just am not sure why it's
not reflected in our continuous integration or the build of the
release packages themselves
I used the following build command:
build/mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -DskipTests clean package
this also gave the ‘Dependency-reduced POM’ loop
Robin
> On 3 Jul 2015, at 23:41, Patrick Wendell wrote:
>
> What if you use the built-in maven (i.e. build/mvn). It might be that
Sorry to say same happens on 3.3.3. I tried Shade 2.4 too. It is
indeed MSHADE-148 that Andrew was trying to fix in the first place.
I'm also trying to think of workarounds here.
On Fri, Jul 3, 2015 at 11:41 PM, Patrick Wendell wrote:
> What if you use the built-in maven (i.e. build/mvn). It migh
What if you use the built-in maven (i.e. build/mvn). It might be that
we require a newer version of maven than you have. The release itself
is built with maven 3.3.3:
https://github.com/apache/spark/blob/master/build/mvn#L72
- Patrick
On Fri, Jul 3, 2015 at 3:19 PM, Krishna Sankar wrote:
> Yep,
Yep, happens to me as well. Build loops.
Cheers
On Fri, Jul 3, 2015 at 2:40 PM, Ted Yu wrote:
> Patrick:
> I used the following command:
> ~/apache-maven-3.3.1/bin/mvn -DskipTests -Phadoop-2.4 -Pyarn -Phive clean
> package
>
> The build doesn't seem to stop.
> Here is tail of build output:
>
>
Patrick:
I used the following command:
~/apache-maven-3.3.1/bin/mvn -DskipTests -Phadoop-2.4 -Pyarn -Phive clean
package
The build doesn't seem to stop.
Here is tail of build output:
[INFO] Dependency-reduced POM written at:
/home/hbase/spark-1.4.1/bagel/dependency-reduced-pom.xml
[INFO] Dependen
Please vote on releasing the following candidate as Apache Spark version 1.4.1!
This release fixes a handful of known issues in Spark 1.4.0, listed here:
http://s.apache.org/spark-1.4.1
The tag to be voted on is v1.4.1-rc2 (commit 07b95c7):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=co
This vote is cancelled in favor of RC2. Thanks very much to Sean Owen
for triaging an important bug associated with RC1.
I took a look at the branch-1.4 contents and I think its safe to cut
RC2 from the head of that branch (i.e no very high risk patches that I
could see). JIRA management around th
Great, thanks for the fix.
Anything marked as fixed for 1.4.2 should now be marked as fixed for
1.4.1 right? I saw you were already updating many of those; OK to
finish that?
>From skimming them, it looks like mostly bug fixes and docs, which are
pretty safe. A few things are kind of minor behavi
@Sean I believe that is a real issue. I have submitted a patch to fix it:
https://github.com/apache/spark/pull/7193. Unfortunately this would mean we
need to cut a new RC to include it. When we do so we should also do another
careful pass over the commits that are merged since the first RC.
-1
20
+1 Tested the EC2 launch scripts and the Spark version and EC2 branch etc.
look good.
Shivaram
On Thu, Jul 2, 2015 at 8:22 AM, Patrick Wendell wrote:
> Hey Sean - yes I think that is an issue. Our published poms need to
> have the dependency versions inlined.
>
> We probably need to revert that
Hey Sean - yes I think that is an issue. Our published poms need to
have the dependency versions inlined.
We probably need to revert that bit of the build patch.
- Patrick
On Thu, Jul 2, 2015 at 7:21 AM, vaquar khan wrote:
> +1
>
> On 2 Jul 2015 18:03, "shenyan zhen" wrote:
>>
>> +1
>>
>> On J
+1
On 2 Jul 2015 18:03, "shenyan zhen" wrote:
> +1
> On Jun 30, 2015 8:28 PM, "Reynold Xin" wrote:
>
>> +1
>>
>> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
>> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 1.4.1!
>>>
>>> This release fixes a ha
+1
On Jun 30, 2015 8:28 PM, "Reynold Xin" wrote:
> +1
>
> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 1.4.1!
>>
>> This release fixes a handful of known issues in Spark 1.4.0, listed here:
>> http://s
I wanted to flag a potential blocker here, but pardon me if this is
still after all this time just my misunderstanding of the POM/build
theory --
So this is the final candiate release POM right?
https://repository.apache.org/content/repositories/orgapachespark-1118/org/apache/spark/spark-core_2.10
+1
On Tue, Jun 30, 2015 at 8:12 PM, Bobby Chowdary
wrote:
> +1 Tested on CentOS 7
> On Jun 30, 2015 19:38, "Joseph Bradley" wrote:
>
>> +1
>>
>> On Tue, Jun 30, 2015 at 5:27 PM, Reynold Xin wrote:
>>
>>> +1
>>>
>>> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
>>> wrote:
>>>
Please v
+1 Tested on CentOS 7
On Jun 30, 2015 19:38, "Joseph Bradley" wrote:
> +1
>
> On Tue, Jun 30, 2015 at 5:27 PM, Reynold Xin wrote:
>
>> +1
>>
>> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
>> wrote:
>>
>>> Please vote on releasing the following candidate as Apache Spark version
>>> 1.4.1!
+1
On Tue, Jun 30, 2015 at 5:27 PM, Reynold Xin wrote:
> +1
>
> On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
> wrote:
>
>> Please vote on releasing the following candidate as Apache Spark version
>> 1.4.1!
>>
>> This release fixes a handful of known issues in Spark 1.4.0, listed here:
>> h
+1
On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This release fixes a handful of known issues in Spark 1.4.0, listed here:
> http://s.apache.org/spark-1.4.1
>
> The tag to be voted on is v1.4.1-rc1
+1 (non-binding)
* built Spark on OSX10.10 w/java version 1.8.0_45 via `dev/run-tests`
* all tests ran successfully
* ran spark-on-YARN core ETL pipeline (success)
* no regression issues / performance issues
* ran spark-on-YARN MLLib ALS recommendation pipeline (success)
* no regression issu
Andrew:
I agree with your assessment.
Cheers
On Mon, Jun 29, 2015 at 3:33 PM, Andrew Or wrote:
> Hi Ted,
>
> We haven't observed a StreamingContextSuite failure on our test
> infrastructure recently. Given that we cannot reproduce it even locally it
> is unlikely that this uncovers a real bug.
Hi Ted,
We haven't observed a StreamingContextSuite failure on our test
infrastructure recently. Given that we cannot reproduce it even locally it
is unlikely that this uncovers a real bug. Even if it does I would not
block the release on it because many in the community are waiting for a few
impo
The test passes when run alone on my machine as well.
Please run test suite.
Thanks
On Mon, Jun 29, 2015 at 2:01 PM, Tathagata Das
wrote:
> @Ted, I ran the following two commands.
>
> mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive -DskipTests clean
> package
> mvn -Phadoop-2.4 -Dhadoop.
@Ted, I ran the following two commands.
mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive -DskipTests clean
package
mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive
-DwildcardSuites=org.apache.spark.streaming.StreamingContextSuite test
Using Java version "1.7.0_51", the tests passed norm
+1 (non-binding, of course)
1. Compiled OSX 10.10 (Yosemite) OK Total time: 13:26 min
mvn clean package -Pyarn -Phadoop-2.6 -DskipTests
2. Tested pyspark, mllib
2.1. statistics (min,max,mean,Pearson,Spearman) OK
2.2. Linear/Ridge/Laso Regression OK
2.3. Decision Tree, Naive Bayes OK
2.4. KMea
Here is the command I used:
mvn -Phadoop-2.4 -Dhadoop.version=2.7.0 -Pyarn -Phive package
Java: 1.8.0_45
OS:
Linux x.com 2.6.32-504.el6.x86_64 #1 SMP Wed Oct 15 04:27:16 UTC 2014
x86_64 x86_64 x86_64 GNU/Linux
Cheers
On Mon, Jun 29, 2015 at 12:04 AM, Tathagata Das wrote:
> @Ted, could you ela
+1. I tested those SQL blocker bugs in my laptop and they have been fixed.
On Mon, Jun 29, 2015 at 6:51 AM, Sean Owen wrote:
> +1 sigs, license, etc check out.
>
> All tests pass for me in the Hadoop 2.6 + Hive configuration on Ubuntu.
> (I still get those pesky cosmetic UDF test failures in Jav
+1 sigs, license, etc check out.
All tests pass for me in the Hadoop 2.6 + Hive configuration on Ubuntu.
(I still get those pesky cosmetic UDF test failures in Java 8, but
they are clearly just test issues.)
I'll follow up on retargeting 1.4.1 issues afterwards as needed, but
again feel free to m
+1. Tested on yarn on hadoop 2.6 cluster
Tom
On Monday, June 29, 2015 2:04 AM, Tathagata Das
wrote:
@Ted, could you elaborate more on what was the test command that you ran? What
profiles, using SBT or Maven?
TD
On Sun, Jun 28, 2015 at 12:21 PM, Patrick Wendell wrote:
Hey Krishn
@Ted, could you elaborate more on what was the test command that you ran?
What profiles, using SBT or Maven?
TD
On Sun, Jun 28, 2015 at 12:21 PM, Patrick Wendell
wrote:
> Hey Krishna - this is still the current release candidate.
>
> - Patrick
>
> On Sun, Jun 28, 2015 at 12:14 PM, Krishna Sanka
Hey Krishna - this is still the current release candidate.
- Patrick
On Sun, Jun 28, 2015 at 12:14 PM, Krishna Sankar wrote:
> Patrick,
>Haven't seen any replies on test results. I will byte ;o) - Should I test
> this version or is another one in the wings ?
> Cheers
>
>
> On Tue, Jun 23, 2
Patrick,
Haven't seen any replies on test results. I will byte ;o) - Should I
test this version or is another one in the wings ?
Cheers
On Tue, Jun 23, 2015 at 10:37 PM, Patrick Wendell
wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 1.4.1!
>
> This releas
Pardon.
During earlier test run, I got:
^[[32mStreamingContextSuite:^[[0m
^[[32m- from no conf constructor^[[0m
^[[32m- from no conf + spark home^[[0m
^[[32m- from no conf + spark home + env^[[0m
^[[32m- from conf with settings^[[0m
^[[32m- from existing SparkContext^[[0m
^[[32m- from existing Spa
I got the following when running test suite:
[INFO] compiler plugin:
BasicArtifact(org.scalamacros,paradise_2.10.4,2.0.1,null)
^[[0m[^[[0minfo^[[0m] ^[[0mCompiling 2 Scala sources and 1 Java source to
/home/hbase/spark-1.4.1/streaming/target/scala-2.10/test-classes...^[[0m
^[[0m[^[[31merror^[[0m]
Hey Tom - no one voted on this yet, so I need to keep it open until
people vote. But I'm not aware of specific things we are waiting for.
Anyone else?
- Patrick
On Fri, Jun 26, 2015 at 7:10 AM, Tom Graves wrote:
> So is this open for vote then or are we waiting on other things?
>
> Tom
>
>
>
> O
So is this open for vote then or are we waiting on other things?
Tom
On Thursday, June 25, 2015 10:32 AM, Andrew Ash
wrote:
I would guess that many tickets targeted at 1.4.1 were set that way during the
tail end of the 1.4.0 voting process as people realized they wouldn't make the
I would guess that many tickets targeted at 1.4.1 were set that way during
the tail end of the 1.4.0 voting process as people realized they wouldn't
make the .0 release in time. In that case, they were likely aiming for a
1.4.x release, not necessarily 1.4.1 specifically. Maybe creating a
"1.4.x"
That makes sense to me -- there's an urgent fix to get out. I missed
that part. Not that it really matters but was that expressed
elsewhere?
I know we tend to start the RC process even when a few more changes
are still in progress, to get a first wave or two of testing done
early, knowing that the
At least a couple of those issues are mistargeted; some of the flaky test
JIRAs + test improvement tasks should probably be targeted for 1.5.0
instead.
On Wed, Jun 24, 2015 at 8:56 AM, Patrick Wendell wrote:
> Hey Sean,
>
> This is being shipped now because there is a severe bug in 1.4.0 that
>
Hey Sean,
This is being shipped now because there is a severe bug in 1.4.0 that
can cause data corruption for Parquet users.
There are no blockers targeted for 1.4.1 - so I don't see that JIRA is
inconsistent with shipping a release now. The goal of having every
single targeted JIRA cleared by th
There are 44 issues still targeted for 1.4.1. None are Blockers; 12
are Critical. ~80% were opened and/or set by committers. Compare with
90 issues resolved for 1.4.1.
I'm concerned that committers are targeting lots more for a release
even in the short term than realistically can go in. On its fa
Please vote on releasing the following candidate as Apache Spark version 1.4.1!
This release fixes a handful of known issues in Spark 1.4.0, listed here:
http://s.apache.org/spark-1.4.1
The tag to be voted on is v1.4.1-rc1 (commit 60e08e5):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=co
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