gnatures.
>>>>>>> > * Built from source, with multiple profiles, to full success, for
>>>>>>> Java 11 and Scala 2.13:
>>>>>>> > * build/mvn -Phadoop-3 -Phadoop-cloud -Phive-thriftserver
>>>>>>> -Pkubernetes
gt;>>> > * Tests passed.
>>>>>> > * Ran several examples successfully:
>>>>>> > * bin/spark-submit --class org.apache.spark.examples.SparkPi
>>>>>> examples/jars/spark-examples_2.12-3.3.0.jar
>>>>>> >
Thanks Dongjoon for opening a jira to track this issue. I agree this is a
flaky test. I have seen the flakiness in our internal tests. I also agree
this is a non-blocker because the feature is disabled by default. I will
try to take a look to see if I can find the root cause.
Thanks,
Huaxin
On
;>> > * bin/spark-submit --class
>>>>> org.apache.spark.examples.sql.hive.SparkHiveExample
>>>>> examples/jars/spark-examples_2.12-3.3.0.jar
>>>>> > * bin/spark-submit
>>>>> examples/src/main/python/streamin
rk-examples_2.12-3.3.0.jar
>>>> > * bin/spark-submit
>>>> examples/src/main/python/streaming/network_wordcount.py localhost
>>>> > * Tested some of the issues that blocked prior release candidates:
>>>> > * bin/spark-sql -e 'SE
ECT (SELECT IF(x, 1, 0)) AS a FROM (SELECT
>>> true) t(x) UNION SELECT 1 AS a;'
>>> > * bin/spark-sql -e "select date '2018-11-17' > 1"
>>> > * SPARK-39293 ArrayAggregate fix
>>> >
>>> > Chris Nauroth
>>>
* bin/spark-sql -e 'SELECT (SELECT IF(x, 1, 0)) AS a FROM (SELECT
>> true) t(x) UNION SELECT 1 AS a;'
>> > * bin/spark-sql -e "select date '2018-11-17' > 1"
>> > * SPARK-39293 ArrayAggregate fix
>> >
>> > Chris Nauroth
>> &g
1:30 PM Cheng Su wrote:
> >>
> >> +1 (non-binding). Built and ran some internal test for Spark SQL.
> >>
> >>
> >>
> >> Thanks,
> >>
> >> Cheng Su
> >>
> >>
> >>
> >> From: L. C. Hsieh
&g
>> +1 (non-binding). Built and ran some internal test for Spark SQL.
>>
>>
>>
>> Thanks,
>>
>> Cheng Su
>>
>>
>>
>> From: L. C. Hsieh
>> Date: Tuesday, June 7, 2022 at 1:23 PM
>> To: dev
>> Subject: Re: [VOTE] Release Spar
e 7, 2022 at 1:23 PM
> *To: *dev
> *Subject: *Re: [VOTE] Release Spark 3.3.0 (RC5)
>
> +1
>
> Liang-Chi
>
> On Tue, Jun 7, 2022 at 1:03 PM Gengliang Wang wrote:
> >
> > +1 (non-binding)
> >
> > Gengliang
> >
> > On Tue, Jun 7, 2022 a
+1 (non-binding). Built and ran some internal test for Spark SQL.
Thanks,
Cheng Su
From: L. C. Hsieh
Date: Tuesday, June 7, 2022 at 1:23 PM
To: dev
Subject: Re: [VOTE] Release Spark 3.3.0 (RC5)
+1
Liang-Chi
On Tue, Jun 7, 2022 at 1:03 PM Gengliang Wang wrote:
>
> +1 (non-b
+1
Liang-Chi
On Tue, Jun 7, 2022 at 1:03 PM Gengliang Wang wrote:
>
> +1 (non-binding)
>
> Gengliang
>
> On Tue, Jun 7, 2022 at 12:24 PM Thomas Graves wrote:
>>
>> +1
>>
>> Tom Graves
>>
>> On Sat, Jun 4, 2022 at 9:50 AM Maxim Gekk
>> wrote:
>> >
>> > Please vote on releasing the following
+1
Tom Graves
On Sat, Jun 4, 2022 at 9:50 AM Maxim Gekk
wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 3.3.0.
>
> The vote is open until 11:59pm Pacific time June 8th and passes if a majority
> +1 PMC votes are cast, with a minimum of 3 +1 votes.
>
> [ ]
Hi,
[X] +1 Release this package as Apache Spark 3.3.0
Tested:
- make local distribution from sources (with ./dev/make-distribution.sh
--tgz --name with-volcano -Pkubernetes,volcano,hadoop-3)
- create a Docker image (with JDK 11)
- run Pi example on
-- local
-- Kubernetes with default scheduler
+1 (non-binding)
1. Verify binary checksums and signatures.
2. Check kubernetes and pyspark documentation
3. Verify K8S integration test on aarch64
4. Verify customized scheduler and volcano integration test with Volcano
1.5.1.
On Mon, Jun 6, 2022 at 3:43 PM Dongjoon Hyun
wrote:
> +1.
>
> I
+1. Ran and verified results through internal tests.
On Mon, Jun 6, 2022 at 3:43 PM Dongjoon Hyun
wrote:
> +1.
>
> I double-checked the following additionally.
>
> - Run unit tests on Apple Silicon with Java 17/Python 3.9.11/R 4.1.2
> - Run unit tests on Linux with Java11/Scala 2.12/2.13
> -
+1.
I double-checked the following additionally.
- Run unit tests on Apple Silicon with Java 17/Python 3.9.11/R 4.1.2
- Run unit tests on Linux with Java11/Scala 2.12/2.13
- K8s integration test (including Volcano batch scheduler) on K8s v1.24
- Check S3 read/write with spark-shell with Scala
+1 looks good now on Scala 2.13
On Sat, Jun 4, 2022 at 9:51 AM Maxim Gekk
wrote:
> Please vote on releasing the following candidate as
> Apache Spark version 3.3.0.
>
> The vote is open until 11:59pm Pacific time June 8th and passes if a
> majority +1 PMC votes are cast, with a minimum of 3 +1
Please vote on releasing the following candidate as
Apache Spark version 3.3.0.
The vote is open until 11:59pm Pacific time June 8th and passes if a
majority +1 PMC votes are cast, with a minimum of 3 +1 votes.
[ ] +1 Release this package as Apache Spark 3.3.0
[ ] -1 Do not release this package
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