Re: JDK11 Support in Apache Spark

[Xiao Li]

Thank you for your contributions! This is a great feature for Spark 3.0! We
finally achieve it!

Xiao

On Sat, Aug 24, 2019 at 12:18 PM Felix Cheung 
wrote:

> That’s great!
>
> --
> *From:* ☼ R Nair 
> *Sent:* Saturday, August 24, 2019 10:57:31 AM
> *To:* Dongjoon Hyun 
> *Cc:* d...@spark.apache.org ; user @spark/'user
> @spark'/spark users/user@spark 
> *Subject:* Re: JDK11 Support in Apache Spark
>
> Finally!!! Congrats
>
> On Sat, Aug 24, 2019, 11:11 AM Dongjoon Hyun 
> wrote:
>
>> Hi, All.
>>
>> Thanks to your many many contributions,
>> Apache Spark master branch starts to pass on JDK11 as of today.
>> (with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)
>>
>>
>> https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
>> (JDK11 is used for building and testing.)
>>
>> We already verified all UTs (including PySpark/SparkR) before.
>>
>> Please feel free to use JDK11 in order to build/test/run `master` branch
>> and
>> share your experience including any issues. It will help Apache Spark
>> 3.0.0 release.
>>
>> For the follow-ups, please follow
>> https://issues.apache.org/jira/browse/SPARK-24417 .
>> The next step is `how to support JDK8/JDK11 together in a single
>> artifact`.
>>
>> Bests,
>> Dongjoon.
>>
>

-- 
[image: Databricks Summit - Watch the talks]

Re: JDK11 Support in Apache Spark

[Felix Cheung]

That’s great!


From: ☼ R Nair 
Sent: Saturday, August 24, 2019 10:57:31 AM
To: Dongjoon Hyun 
Cc: d...@spark.apache.org ; user @spark/'user 
@spark'/spark users/user@spark 
Subject: Re: JDK11 Support in Apache Spark

Finally!!! Congrats

On Sat, Aug 24, 2019, 11:11 AM Dongjoon Hyun 
mailto:dongjoon.h...@gmail.com>> wrote:
Hi, All.

Thanks to your many many contributions,
Apache Spark master branch starts to pass on JDK11 as of today.
(with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)


https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
(JDK11 is used for building and testing.)

We already verified all UTs (including PySpark/SparkR) before.

Please feel free to use JDK11 in order to build/test/run `master` branch and
share your experience including any issues. It will help Apache Spark 3.0.0 
release.

For the follow-ups, please follow 
https://issues.apache.org/jira/browse/SPARK-24417 .
The next step is `how to support JDK8/JDK11 together in a single artifact`.

Bests,
Dongjoon.

Re: JDK11 Support in Apache Spark

[☼ R Nair]

Finally!!! Congrats

On Sat, Aug 24, 2019, 11:11 AM Dongjoon Hyun 
wrote:

> Hi, All.
>
> Thanks to your many many contributions,
> Apache Spark master branch starts to pass on JDK11 as of today.
> (with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)
>
>
> https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
> (JDK11 is used for building and testing.)
>
> We already verified all UTs (including PySpark/SparkR) before.
>
> Please feel free to use JDK11 in order to build/test/run `master` branch
> and
> share your experience including any issues. It will help Apache Spark
> 3.0.0 release.
>
> For the follow-ups, please follow
> https://issues.apache.org/jira/browse/SPARK-24417 .
> The next step is `how to support JDK8/JDK11 together in a single artifact`.
>
> Bests,
> Dongjoon.
>

Re: JDK11 Support in Apache Spark

[DB Tsai]

Congratulations on the great work!

Sincerely,

DB Tsai
--
Web: https://www.dbtsai.com
PGP Key ID: 42E5B25A8F7A82C1

On Sat, Aug 24, 2019 at 8:11 AM Dongjoon Hyun  wrote:
>
> Hi, All.
>
> Thanks to your many many contributions,
> Apache Spark master branch starts to pass on JDK11 as of today.
> (with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)
>
> 
> https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
> (JDK11 is used for building and testing.)
>
> We already verified all UTs (including PySpark/SparkR) before.
>
> Please feel free to use JDK11 in order to build/test/run `master` branch and
> share your experience including any issues. It will help Apache Spark 3.0.0 
> release.
>
> For the follow-ups, please follow 
> https://issues.apache.org/jira/browse/SPARK-24417 .
> The next step is `how to support JDK8/JDK11 together in a single artifact`.
>
> Bests,
> Dongjoon.

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JDK11 Support in Apache Spark

[Dongjoon Hyun]

Hi, All.

Thanks to your many many contributions,
Apache Spark master branch starts to pass on JDK11 as of today.
(with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)


https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
(JDK11 is used for building and testing.)

We already verified all UTs (including PySpark/SparkR) before.

Please feel free to use JDK11 in order to build/test/run `master` branch and
share your experience including any issues. It will help Apache Spark 3.0.0
release.

For the follow-ups, please follow
https://issues.apache.org/jira/browse/SPARK-24417 .
The next step is `how to support JDK8/JDK11 together in a single artifact`.

Bests,
Dongjoon.