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Posted to dev@spark.apache.org by Yuming Wang <wg...@gmail.com> on 2019/12/24 20:52:57 UTC
[ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Hi all,
To enable wide-scale community testing of the upcoming Spark 3.0 release,
the Apache Spark community has posted a new preview release of Spark 3.0.
This preview is *not a stable release in terms of either API or
functionality*, but it is meant to give the community early access to try
the code that will become Spark 3.0. If you would like to test the release,
please download it, and send feedback using either the mailing lists
<https://spark.apache.org/community.html> or JIRA
<https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
.
There are a lot of exciting new features added to Spark 3.0, including
Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
major features and changes in Spark 3.0.0-preview2, please check the thread(
http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
and
http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
).
We'd like to thank our contributors and users for their contributions and
early feedback to this release. This release would not have been possible
without you.
To download Spark 3.0.0-preview2, head over to the download page:
https://archive.apache.org/dist/spark/spark-3.0.0-preview2
Happy Holidays.
Yuming
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Jungtaek Lim <ka...@gmail.com>.
Great work, Yuming! Happy Holidays.
On Wed, Dec 25, 2019 at 9:08 AM Dongjoon Hyun <do...@gmail.com>
wrote:
> Indeed! Thank you again, Yuming and all.
>
> Bests,
> Dongjoon.
>
>
> On Tue, Dec 24, 2019 at 13:38 Takeshi Yamamuro <li...@gmail.com>
> wrote:
>
>> Great work, Yuming!
>>
>> Bests,
>> Takeshi
>>
>> On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
>>
>>> Thank you all. Happy Holidays!
>>>
>>> Xiao
>>>
>>> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>>>
>>>> Hi all,
>>>>
>>>> To enable wide-scale community testing of the upcoming Spark 3.0
>>>> release, the Apache Spark community has posted a new preview release of
>>>> Spark 3.0. This preview is *not a stable release in terms of either
>>>> API or functionality*, but it is meant to give the community early
>>>> access to try the code that will become Spark 3.0. If you would like to
>>>> test the release, please download it, and send feedback using either the mailing
>>>> lists <https://spark.apache.org/community.html> or JIRA
>>>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>>>> .
>>>>
>>>> There are a lot of exciting new features added to Spark 3.0, including
>>>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>>>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>>>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>>>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>>>> and
>>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>>>> ).
>>>>
>>>> We'd like to thank our contributors and users for their contributions
>>>> and early feedback to this release. This release would not have been
>>>> possible without you.
>>>>
>>>> To download Spark 3.0.0-preview2, head over to the download page:
>>>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>>>
>>>> Happy Holidays.
>>>>
>>>> Yuming
>>>>
>>>
>>>
>>> --
>>> [image: Databricks Summit - Watch the talks]
>>> <https://databricks.com/sparkaisummit/north-america>
>>>
>>
>>
>> --
>> ---
>> Takeshi Yamamuro
>>
>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Jungtaek Lim <ka...@gmail.com>.
Great work, Yuming! Happy Holidays.
On Wed, Dec 25, 2019 at 9:08 AM Dongjoon Hyun <do...@gmail.com>
wrote:
> Indeed! Thank you again, Yuming and all.
>
> Bests,
> Dongjoon.
>
>
> On Tue, Dec 24, 2019 at 13:38 Takeshi Yamamuro <li...@gmail.com>
> wrote:
>
>> Great work, Yuming!
>>
>> Bests,
>> Takeshi
>>
>> On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
>>
>>> Thank you all. Happy Holidays!
>>>
>>> Xiao
>>>
>>> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>>>
>>>> Hi all,
>>>>
>>>> To enable wide-scale community testing of the upcoming Spark 3.0
>>>> release, the Apache Spark community has posted a new preview release of
>>>> Spark 3.0. This preview is *not a stable release in terms of either
>>>> API or functionality*, but it is meant to give the community early
>>>> access to try the code that will become Spark 3.0. If you would like to
>>>> test the release, please download it, and send feedback using either the mailing
>>>> lists <https://spark.apache.org/community.html> or JIRA
>>>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>>>> .
>>>>
>>>> There are a lot of exciting new features added to Spark 3.0, including
>>>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>>>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>>>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>>>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>>>> and
>>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>>>> ).
>>>>
>>>> We'd like to thank our contributors and users for their contributions
>>>> and early feedback to this release. This release would not have been
>>>> possible without you.
>>>>
>>>> To download Spark 3.0.0-preview2, head over to the download page:
>>>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>>>
>>>> Happy Holidays.
>>>>
>>>> Yuming
>>>>
>>>
>>>
>>> --
>>> [image: Databricks Summit - Watch the talks]
>>> <https://databricks.com/sparkaisummit/north-america>
>>>
>>
>>
>> --
>> ---
>> Takeshi Yamamuro
>>
>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Dongjoon Hyun <do...@gmail.com>.
Indeed! Thank you again, Yuming and all.
Bests,
Dongjoon.
On Tue, Dec 24, 2019 at 13:38 Takeshi Yamamuro <li...@gmail.com>
wrote:
> Great work, Yuming!
>
> Bests,
> Takeshi
>
> On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
>
>> Thank you all. Happy Holidays!
>>
>> Xiao
>>
>> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>>
>>> Hi all,
>>>
>>> To enable wide-scale community testing of the upcoming Spark 3.0
>>> release, the Apache Spark community has posted a new preview release of
>>> Spark 3.0. This preview is *not a stable release in terms of either API
>>> or functionality*, but it is meant to give the community early access
>>> to try the code that will become Spark 3.0. If you would like to test the
>>> release, please download it, and send feedback using either the mailing
>>> lists <https://spark.apache.org/community.html> or JIRA
>>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>>> .
>>>
>>> There are a lot of exciting new features added to Spark 3.0, including
>>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>>> and
>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>>> ).
>>>
>>> We'd like to thank our contributors and users for their contributions
>>> and early feedback to this release. This release would not have been
>>> possible without you.
>>>
>>> To download Spark 3.0.0-preview2, head over to the download page:
>>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>>
>>> Happy Holidays.
>>>
>>> Yuming
>>>
>>
>>
>> --
>> [image: Databricks Summit - Watch the talks]
>> <https://databricks.com/sparkaisummit/north-america>
>>
>
>
> --
> ---
> Takeshi Yamamuro
>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Dongjoon Hyun <do...@gmail.com>.
Indeed! Thank you again, Yuming and all.
Bests,
Dongjoon.
On Tue, Dec 24, 2019 at 13:38 Takeshi Yamamuro <li...@gmail.com>
wrote:
> Great work, Yuming!
>
> Bests,
> Takeshi
>
> On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
>
>> Thank you all. Happy Holidays!
>>
>> Xiao
>>
>> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>>
>>> Hi all,
>>>
>>> To enable wide-scale community testing of the upcoming Spark 3.0
>>> release, the Apache Spark community has posted a new preview release of
>>> Spark 3.0. This preview is *not a stable release in terms of either API
>>> or functionality*, but it is meant to give the community early access
>>> to try the code that will become Spark 3.0. If you would like to test the
>>> release, please download it, and send feedback using either the mailing
>>> lists <https://spark.apache.org/community.html> or JIRA
>>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>>> .
>>>
>>> There are a lot of exciting new features added to Spark 3.0, including
>>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>>> and
>>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>>> ).
>>>
>>> We'd like to thank our contributors and users for their contributions
>>> and early feedback to this release. This release would not have been
>>> possible without you.
>>>
>>> To download Spark 3.0.0-preview2, head over to the download page:
>>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>>
>>> Happy Holidays.
>>>
>>> Yuming
>>>
>>
>>
>> --
>> [image: Databricks Summit - Watch the talks]
>> <https://databricks.com/sparkaisummit/north-america>
>>
>
>
> --
> ---
> Takeshi Yamamuro
>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Takeshi Yamamuro <li...@gmail.com>.
Great work, Yuming!
Bests,
Takeshi
On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
> Thank you all. Happy Holidays!
>
> Xiao
>
> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>
>> Hi all,
>>
>> To enable wide-scale community testing of the upcoming Spark 3.0 release,
>> the Apache Spark community has posted a new preview release of Spark 3.0.
>> This preview is *not a stable release in terms of either API or
>> functionality*, but it is meant to give the community early access to
>> try the code that will become Spark 3.0. If you would like to test the
>> release, please download it, and send feedback using either the mailing
>> lists <https://spark.apache.org/community.html> or JIRA
>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>> .
>>
>> There are a lot of exciting new features added to Spark 3.0, including
>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>> and
>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>> ).
>>
>> We'd like to thank our contributors and users for their contributions and
>> early feedback to this release. This release would not have been possible
>> without you.
>>
>> To download Spark 3.0.0-preview2, head over to the download page:
>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>
>> Happy Holidays.
>>
>> Yuming
>>
>
>
> --
> [image: Databricks Summit - Watch the talks]
> <https://databricks.com/sparkaisummit/north-america>
>
--
---
Takeshi Yamamuro
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Takeshi Yamamuro <li...@gmail.com>.
Great work, Yuming!
Bests,
Takeshi
On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <li...@databricks.com> wrote:
> Thank you all. Happy Holidays!
>
> Xiao
>
> On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
>
>> Hi all,
>>
>> To enable wide-scale community testing of the upcoming Spark 3.0 release,
>> the Apache Spark community has posted a new preview release of Spark 3.0.
>> This preview is *not a stable release in terms of either API or
>> functionality*, but it is meant to give the community early access to
>> try the code that will become Spark 3.0. If you would like to test the
>> release, please download it, and send feedback using either the mailing
>> lists <https://spark.apache.org/community.html> or JIRA
>> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
>> .
>>
>> There are a lot of exciting new features added to Spark 3.0, including
>> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
>> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
>> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
>> major features and changes in Spark 3.0.0-preview2, please check the thread(
>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
>> and
>> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
>> ).
>>
>> We'd like to thank our contributors and users for their contributions and
>> early feedback to this release. This release would not have been possible
>> without you.
>>
>> To download Spark 3.0.0-preview2, head over to the download page:
>> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>>
>> Happy Holidays.
>>
>> Yuming
>>
>
>
> --
> [image: Databricks Summit - Watch the talks]
> <https://databricks.com/sparkaisummit/north-america>
>
--
---
Takeshi Yamamuro
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Xiao Li <li...@databricks.com>.
Thank you all. Happy Holidays!
Xiao
On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
> Hi all,
>
> To enable wide-scale community testing of the upcoming Spark 3.0 release,
> the Apache Spark community has posted a new preview release of Spark 3.0.
> This preview is *not a stable release in terms of either API or
> functionality*, but it is meant to give the community early access to try
> the code that will become Spark 3.0. If you would like to test the release,
> please download it, and send feedback using either the mailing lists
> <https://spark.apache.org/community.html> or JIRA
> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
> .
>
> There are a lot of exciting new features added to Spark 3.0, including
> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
> major features and changes in Spark 3.0.0-preview2, please check the thread(
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
> and
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
> ).
>
> We'd like to thank our contributors and users for their contributions and
> early feedback to this release. This release would not have been possible
> without you.
>
> To download Spark 3.0.0-preview2, head over to the download page:
> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>
> Happy Holidays.
>
> Yuming
>
--
[image: Databricks Summit - Watch the talks]
<https://databricks.com/sparkaisummit/north-america>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Xiao Li <li...@databricks.com>.
Thank you all. Happy Holidays!
Xiao
On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wg...@gmail.com> wrote:
> Hi all,
>
> To enable wide-scale community testing of the upcoming Spark 3.0 release,
> the Apache Spark community has posted a new preview release of Spark 3.0.
> This preview is *not a stable release in terms of either API or
> functionality*, but it is meant to give the community early access to try
> the code that will become Spark 3.0. If you would like to test the release,
> please download it, and send feedback using either the mailing lists
> <https://spark.apache.org/community.html> or JIRA
> <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page>
> .
>
> There are a lot of exciting new features added to Spark 3.0, including
> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
> Scheduling, Data Source API with Catalog Supports, Vectorization in SparkR,
> support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a full list of
> major features and changes in Spark 3.0.0-preview2, please check the thread(
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
> and
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
> ).
>
> We'd like to thank our contributors and users for their contributions and
> early feedback to this release. This release would not have been possible
> without you.
>
> To download Spark 3.0.0-preview2, head over to the download page:
> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>
> Happy Holidays.
>
> Yuming
>
--
[image: Databricks Summit - Watch the talks]
<https://databricks.com/sparkaisummit/north-america>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by infa elance <in...@gmail.com>.
Great job everyone !! Do we have any tentative GA dates yet?
Thanks and Regards,
Ajay.
On Tue, Dec 24, 2019 at 5:11 PM Star <st...@fallenstar.xyz> wrote:
> Awesome work. Thanks and happy holidays~!
>
>
> On 2019-12-25 04:52, Yuming Wang wrote:
> > Hi all,
> >
> > To enable wide-scale community testing of the upcoming Spark 3.0
> > release, the Apache Spark community has posted a new preview release
> > of Spark 3.0. This preview is not a stable release in terms of either
> > API or functionality, but it is meant to give the community early
> > access to try the code that will become Spark 3.0. If you would like
> > to test the release, please download it, and send feedback using
> > either the mailing lists [1] or JIRA [2].
> >
> > There are a lot of exciting new features added to Spark 3.0, including
> > Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
> > Scheduling, Data Source API with Catalog Supports, Vectorization in
> > SparkR, support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a
> > full list of major features and changes in Spark 3.0.0-preview2,
> > please check the
> > thread(
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
> > and
> >
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html
> ).
> >
> > We'd like to thank our contributors and users for their contributions
> > and early feedback to this release. This release would not have been
> > possible without you.
> >
> > To download Spark 3.0.0-preview2, head over to the download page:
> > https://archive.apache.org/dist/spark/spark-3.0.0-preview2
> >
> > Happy Holidays.
> >
> > Yuming
> >
> > Links:
> > ------
> > [1] https://spark.apache.org/community.html
> > [2]
> >
> https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>
>
Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Posted by Star <st...@fallenstar.xyz>.
Awesome work. Thanks and happy holidays~!
On 2019-12-25 04:52, Yuming Wang wrote:
> Hi all,
>
> To enable wide-scale community testing of the upcoming Spark 3.0
> release, the Apache Spark community has posted a new preview release
> of Spark 3.0. This preview is not a stable release in terms of either
> API or functionality, but it is meant to give the community early
> access to try the code that will become Spark 3.0. If you would like
> to test the release, please download it, and send feedback using
> either the mailing lists [1] or JIRA [2].
>
> There are a lot of exciting new features added to Spark 3.0, including
> Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware
> Scheduling, Data Source API with Catalog Supports, Vectorization in
> SparkR, support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a
> full list of major features and changes in Spark 3.0.0-preview2,
> please check the
> thread(http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html
> and
> http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html).
>
> We'd like to thank our contributors and users for their contributions
> and early feedback to this release. This release would not have been
> possible without you.
>
> To download Spark 3.0.0-preview2, head over to the download page:
> https://archive.apache.org/dist/spark/spark-3.0.0-preview2
>
> Happy Holidays.
>
> Yuming
>
> Links:
> ------
> [1] https://spark.apache.org/community.html
> [2]
> https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page
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