>>> Thanks, Chao!
>>>
>>>
>>>
>>> 发件人: Maxim Gekk
>>> 日期: 2022年11月30日 星期三 19:40
>>> 收件人: Jungtaek Lim
>>> 抄送: Wenchen Fan , Chao Sun , dev
>>> , user
>>> 主题: Re: [ANNOUNCE] Apache Spark 3.2.3 released
>
1月30日 星期三 19:40
>> *收件人**: *Jungtaek Lim
>> *抄送**: *Wenchen Fan , Chao Sun ,
>> dev , user
>> *主题**: *Re: [ANNOUNCE] Apache Spark 3.2.3 released
>>
>>
>>
>> Thank you, Chao!
>>
>>
>>
>> On Wed, Nov 30, 2022 at 12:42 PM Jungtaek Lim <
Thank you, Chao!
On Wed, Nov 30, 2022 at 8:16 AM Yang,Jie(INF) wrote:
> Thanks, Chao!
>
>
>
> *发件人**: *Maxim Gekk
> *日期**: *2022年11月30日 星期三 19:40
> *收件人**: *Jungtaek Lim
> *抄送**: *Wenchen Fan , Chao Sun ,
> dev , user
> *主题**: *Re: [ANNOUNCE] Apache Spark 3.
Thanks, Chao!
发件人: Maxim Gekk
日期: 2022年11月30日 星期三 19:40
收件人: Jungtaek Lim
抄送: Wenchen Fan , Chao Sun , dev
, user
主题: Re: [ANNOUNCE] Apache Spark 3.2.3 released
Thank you, Chao!
On Wed, Nov 30, 2022 at 12:42 PM Jungtaek Lim
mailto:kabhwan.opensou...@gmail.com>> wrote:
Thank
gt; We are happy to announce the availability of Apache Spark 3.2.3!
>>>
>>> Spark 3.2.3 is a maintenance release containing stability fixes. This
>>> release is based on the branch-3.2 maintenance branch of Spark. We
>>> strongly
>>> recommend all 3.2 users to
Thanks Chao for driving the release!
On Wed, Nov 30, 2022 at 6:03 PM Wenchen Fan wrote:
> Thanks, Chao!
>
> On Wed, Nov 30, 2022 at 1:33 AM Chao Sun wrote:
>
>> We are happy to announce the availability of Apache Spark 3.2.3!
>>
>> Spark 3.2.3 is a maintenanc
Thanks, Chao!
On Wed, Nov 30, 2022 at 1:33 AM Chao Sun wrote:
> We are happy to announce the availability of Apache Spark 3.2.3!
>
> Spark 3.2.3 is a maintenance release containing stability fixes. This
> release is based on the branch-3.2 maintenance branch of Spark. We strongly
We are happy to announce the availability of Apache Spark 3.2.3!
Spark 3.2.3 is a maintenance release containing stability fixes. This
release is based on the branch-3.2 maintenance branch of Spark. We strongly
recommend all 3.2 users to upgrade to this stable release.
To download Spark 3.2.3
ption, or plans for such an option, to run
> Spark jobs on Kubernetes? Is there perhaps an official Apache Spark
> Operator in the works?
>
> We currently run jobs on both Databricks and on Amazon EMR, but it would be
> nice to have a good option for running Spark directly on our Kube
Congrats everyone! and thanks Yuming for driving the release!
On Wed, Oct 26, 2022 at 7:37 AM beliefer wrote:
>
> Congratulations everyone have contributed to this release.
>
>
> At 2022-10-26 14:21:36, "Yuming Wang" wrote:
>
> We are happy to announce the ava
Congratulations everyone have contributed to this release.
At 2022-10-26 14:21:36, "Yuming Wang" wrote:
We are happy to announce the availability of Apache Spark 3.3.1!
Spark 3.3.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.3 m
ps://twitter.com/jaceklaskowski
<https://twitter.com/jaceklaskowski>
On Wed, Oct 26, 2022 at 8:22 AM Yuming Wang wrote:
> We are happy to announce the availability of Apache Spark 3.3.1!
>
> Spark 3.3.1 is a maintenance release containing stability fixes. This
> release is b
Thanks Yuming and all developers ~
Yang Jie
发件人: Maxim Gekk
日期: 2022年10月26日 星期三 15:19
收件人: Hyukjin Kwon
抄送: "L. C. Hsieh" , Dongjoon Hyun ,
Yuming Wang , dev , User
主题: Re: [ANNOUNCE] Apache Spark 3.3.1 released
Congratulations everyone with the new release, and thanks to Yumi
nk you for driving the release of Apache Spark 3.3.1, Yuming!
>>
>> On Tue, Oct 25, 2022 at 11:38 PM Dongjoon Hyun
>> wrote:
>> >
>> > It's great. Thank you so much, Yuming!
>> >
>> > Dongjoon
>> >
>> > On Tue, Oct 25, 2022 at 11:23 PM
Thanks, Yuming.
On Wed, 26 Oct 2022 at 16:01, L. C. Hsieh wrote:
> Thank you for driving the release of Apache Spark 3.3.1, Yuming!
>
> On Tue, Oct 25, 2022 at 11:38 PM Dongjoon Hyun
> wrote:
> >
> > It's great. Thank you so much, Yuming!
> >
> > Dongjoon
&
Thank you for driving the release of Apache Spark 3.3.1, Yuming!
On Tue, Oct 25, 2022 at 11:38 PM Dongjoon Hyun wrote:
>
> It's great. Thank you so much, Yuming!
>
> Dongjoon
>
> On Tue, Oct 25, 2022 at 11:23 PM Yuming Wang wrote:
>>
>> We are happy to announce th
It's great. Thank you so much, Yuming!
Dongjoon
On Tue, Oct 25, 2022 at 11:23 PM Yuming Wang wrote:
> We are happy to announce the availability of Apache Spark 3.3.1!
>
> Spark 3.3.1 is a maintenance release containing stability fixes. This
> release is based on the branch-3.3
We are happy to announce the availability of Apache Spark 3.3.1!
Spark 3.3.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.3 maintenance branch of Spark. We strongly
recommend all 3.3 users to upgrade to this stable release.
To download Spark 3.3.1
Apache
Spark Operator in the works?
We currently run jobs on both Databricks and on Amazon EMR, but it
would be nice to have a good option for running Spark directly on our
Kubernetes clusters.
thanks :)
-
To unsubscribe e
? Is there perhaps an official Apache Spark
Operator in the works?
We currently run jobs on both Databricks and on Amazon EMR, but it would be
nice to have a good option for running Spark directly on our Kubernetes
clusters.
thanks :)
Hi:
In apache spark we can read json using the following:
spark.read.json("path").
There is support to convert json string in a dataframe into structured element
using
(https://spark.apache.org/docs/latest/api/java/org/apache/spark/sql/functions.html#from_json-org.apache.spark.
Severity: important
Description:
The Apache Spark UI offers the possibility to enable ACLs via the
configuration option spark.acls.enable. With an authentication filter, this
checks whether a user has access permissions to view or modify the
application. If ACLs are enabled, a code path
We are happy to announce the availability of Apache Spark 3.2.2!
Spark 3.2.2 is a maintenance release containing stability fixes. This
release is based on the branch-3.2 maintenance branch of Spark. We strongly
recommend all 3.2 users to upgrade to this stable release.
To download Spark 3.2.2
Dear all,
As you may know we at JetBrains develop Kotlin API for Apache Spark [1].
It's stable for some time already, version 1.0 was released more than a
year ago. Also we've released version 1.1 [2] with support for Spark
Streaming, RDDs and Jupyter several days ago.
We believe
wrote:
Hello,
I’m writing to request assistance in getting Apache Spark on my
laptop. I’ve followed instructions telling me to get Java, Python,
Hadoop, Winutils, and Spark itself. I’ve followed instructions
illustrating how to set my environment variables. For some reason, I
still cannot
Hello,
I'm writing to request assistance in getting Apache Spark on my laptop. I've
followed instructions telling me to get Java, Python, Hadoop, Winutils, and
Spark itself. I've followed instructions illustrating how to set my environment
variables. For some reason, I still cannot get Spark
, for example for stream processing or for
ML.
You can read more on its website: https://spark.apache.org
Welcome to the beautiful world of days engineering!
Cheers,
Pasha
ср, 18 мая 2022 г., 16:09 Turritopsis Dohrnii Teo En Ming <
ceo.teo.en.m...@gmail.com>:
> Subject: What does Apache
Subject: What does Apache Spark do?
Good day from Singapore,
I notice that my company/organization uses Apache Spark. What does it do?
Just being curious.
Regards,
Mr. Turritopsis Dohrnii Teo En Ming
Targeted Individual in Singapore
18 May 2022 Wed
These kinds of static analysis have limited value to send around. It's not
clear whether any of the CVEs actually affect Spark's usage of the library.
jackson -- generally, yes could theoretically affect Spark apps.
I can't really read this output, but seems like the affected versions are
I think these are readily answerable if you look at the text of the CVEs
and Spark 3.0.3 release.
https://nvd.nist.gov/vuln/detail/CVE-2019-17531 concerns Jackson Databind
up to 2.9.10, but you can see that 3.0.3 uses 2.10.0
https://nvd.nist.gov/vuln/detail/CVE-2020-9480 affects Spark 2.x, not
Hi Sean,
I am looking for fixing the vulnerabilities such as these in the 3.0.X branch.
1)
CVE-2019-17531
2)CVE-2020-9480
3)CVE-2019-0204
Rajesh Krishnamurthy | Enterprise Architect
T: +1 510-833-7189 | M: +1 925-917-9208
http://www.perforce.com
Visit us on:
What vulnerabilities are you referring to? I'm not aware of any critical
outstanding issues, but not sure what you have in mind either.
See https://spark.apache.org/versioning-policy.html - 3.0.x is EOL about
now, which doesn't mean there can't be another release, but would not
generally expect
3.0.x is about EOL now, and I hadn't heard anyone come forward to push a
final maintenance release. Is there a specific issue you're concerned about?
On Fri, Feb 11, 2022 at 4:24 PM Rajesh Krishnamurthy <
rkrishnamur...@perforce.com> wrote:
> Hi there,
>
> We are just wondering if there are
Hi there,
We are just wondering if there are any agenda by the Spark community to
actively engage development activities on the 3.0.x path. I know we have the
latest version of Spark with 3.2.x, but we are just wondering if any
development plans to have the vulnerabilities fixed on the 3.0.x
Hi,
We are happy to announce that .NET for Apache Spark™ v2.1 has been released
<https://github.com/dotnet/spark/releases/tag/v2.1.0>! The release note
<https://github.com/dotnet/spark/blob/main/docs/release-notes/2.1.0/release-2.1.0.md>
includes
the full list of features/
Thank you huaxin gao!
Glad to see the release.
At 2022-01-29 09:07:13, "huaxin gao" wrote:
We are happy to announce the availability of Spark 3.2.1!
Spark 3.2.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.2 maintenance branch of Spark. We
t; >>
>> >> On Fri, Jan 28, 2022 at 5:37 PM Ruifeng Zheng
>> wrote:
>> >>>
>> >>> It's Great!
>> >>> Congrats and thanks, huaxin!
>> >>>
>> >>>
>> >>> -- 原始邮件 -
t; Congrats and thanks, huaxin!
> >>>
> >>>
> >>> -- 原始邮件 --
> >>> 发件人: "huaxin gao" ;
> >>> 发送时间: 2022年1月29日(星期六) 上午9:07
> >>> 收件人: "dev";"user";
> >>>
>
>>>
>>> ------ 原始邮件 --
>>> 发件人: "huaxin gao" ;
>>> 发送时间: 2022年1月29日(星期六) 上午9:07
>>> 收件人: "dev";"user";
>>> 主题: [ANNOUNCE] Apache Spark 3.2.1 released
>>>
>>> We are
an 28, 2022 at 5:37 PM Ruifeng Zheng
> wrote:
>
>> It's Great!
>> Congrats and thanks, huaxin!
>>
>>
>> -- 原始邮件 --
>> *发件人:* "huaxin gao" ;
>> *发送时间:* 2022年1月29日(星期六) 上午9:07
>> *收件人:* "dev";"us
Is there a guide for upgrading from 3.2.0 to 3.2.1?
thanks
On Sat, Jan 29, 2022 at 9:14 AM huaxin gao wrote:
> We are happy to announce the availability of Spark 3.2.1!
>
> Spark 3.2.1 is a maintenance release containing stability fixes. This
> release is based on the branch-3.2 maintenance
>>
>>
>> -- 原始邮件 --
>> 发件人: "huaxin gao" ;
>> 发送时间: 2022年1月29日(星期六) 上午9:07
>> 收件人: "dev";"user";
>> 主题: [ANNOUNCE] Apache Spark 3.2.1 released
>>
>> We are happy to announce the
Thanks Huaxin for driving the release!
On Fri, Jan 28, 2022 at 5:37 PM Ruifeng Zheng wrote:
> It's Great!
> Congrats and thanks, huaxin!
>
>
> -- 原始邮件 --
> *发件人:* "huaxin gao" ;
> *发送时间:* 2022年1月29日(星期六) 上午9:07
> *收件人:* "
It's Great!
Congrats and thanks, huaxin!
-- 原始邮件 --
发件人:
"huaxin gao"
Thank you Huaxin.
On Sat, Jan 29, 2022 at 9:08 AM huaxin gao wrote:
> We are happy to announce the availability of Spark 3.2.1!
>
> Spark 3.2.1 is a maintenance release containing stability fixes. This
> release is based on the branch-3.2 maintenance branch of Spark. We strongly
> recommend all
We are happy to announce the availability of Spark 3.2.1!
Spark 3.2.1 is a maintenance release containing stability fixes. This
release is based on the branch-3.2 maintenance branch of Spark. We strongly
recommend all 3.2 users to upgrade to this stable release.
To download Spark 3.2.1, head
;
>
>
>
>
> org.codehaus.janino
>
>
> commons-compiler
>
>
>
>
>
>
>
>
> org.codehaus.janino
>
>
> janino
>
>
>
>
>
>
>
>
>
>
>
> Regards
>
>
>
: Mittwoch, 19. Januar 2022 14:25
An: Heyde, Andreas
Cc: user@spark.apache.org
Betreff: Re: Issue: Spring-Boot vs. Apache Spark Dependencies
I did not see your message in the moderation queue, not sure why. Indeed you
should send to user@, not to individuals. Your message is here now.
Do you mean S
>
> Is there something wrong or where I have to write my issue new or send a
> change request
>
> Regards
>
> /Andreas
>
> *Von:* Heyde, Andreas
> *Gesendet:* Dienstag, 18. Januar 2022 08:23
> *An:* 'user-subscr...@spark.apache.org'
> *Betreff:* Sprin
see below, got mailing error.
Von: Heyde, Andreas
Gesendet: Mittwoch, 19. Januar 2022 13:14
An: user@spark.apache.org; user-requ...@spark.apache.org
Betreff: Issue: Spring-Boot vs. Apache Spark Dependencies
After sending mail to Matei and yesterday subscribing
user@spark.apache.org<mailto:u
re something wrong or where I have to write my issue new or send a
change request
Regards
/Andreas
Von: Heyde, Andreas
Gesendet: Dienstag, 18. Januar 2022 08:23
An: 'user-subscr...@spark.apache.org'
Betreff: Spring-Boot vs. Apache Spark Dependencies
Hi Andreas,
I think it shouldn’t be ha
able for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Mon, 22 Nov 2021 at 16:00, Daniel de Oliveira Mantovani <
>> daniel.oliveira.mantov...@gmail.com> wrote:
>>
>>> Hi Spark Team,
&g
Daniel de Oliveira Mantovani <
> daniel.oliveira.mantov...@gmail.com> wrote:
>
>> Hi Spark Team,
>>
>> I've written a library for Apache Spark to flatten JSON/Avro/Parquet/XML
>> using a DSL(Domain Specific Language) in Apache Spark. You actually don't
>> even
tovani <
daniel.oliveira.mantov...@gmail.com> wrote:
> Hi Spark Team,
>
> I've written a library for Apache Spark to flatten JSON/Avro/Parquet/XML
> using a DSL(Domain Specific Language) in Apache Spark. You actually don't
> even need to write the DSL, you can generate it as well :)
>
> I'v
Hi Spark Team,
I've written a library for Apache Spark to flatten JSON/Avro/Parquet/XML
using a DSL(Domain Specific Language) in Apache Spark. You actually don't
even need to write the DSL, you can generate it as well :)
I've written an article to teach how to use:
https://medium.com
gt;> Regards,
>> Gourav Sengupta
>>
>> On Wed, Nov 17, 2021 at 7:39 AM Anil Kulkarni wrote:
>>
>>> Hi Spark community,
>>>
>>> I am having a hard time setting up my Pycharm to work with pyspark. Can
>>> any of you point me to documenta
>
>> Hi Spark community,
>>
>> I am having a hard time setting up my Pycharm to work with pyspark. Can
>> any of you point me to documentation available?
>>
>> Things I have tried till now :
>>
>>1. Download and Install Apache spark
>>
ark community,
>
> I am having a hard time setting up my Pycharm to work with pyspark. Can
> any of you point me to documentation available?
>
> Things I have tried till now :
>
>1. Download and Install Apache spark
>2. Add pyspark package in pycharm.
>3. Add SPARK
Hi Spark community,
I am having a hard time setting up my Pycharm to work with pyspark. Can any
of you point me to documentation available?
Things I have tried till now :
1. Download and Install Apache spark
2. Add pyspark package in pycharm.
3. Add SPARK_HOME. PYTHONPATH, HADOOP_HOME
heck the docs?
> https://spark.apache.org/docs/latest/spark-standalone.html
>
> On Mon, Nov 8, 2021 at 6:40 AM Dinakar Chennubotla <
> chennu.bigd...@gmail.com> wrote:
>
>> Hi All,i am dinakar and I am admin,i have question,
>> Question: " is it possible to run d
Yes, did you check the docs?
https://spark.apache.org/docs/latest/spark-standalone.html
On Mon, Nov 8, 2021 at 6:40 AM Dinakar Chennubotla
wrote:
> Hi All,i am dinakar and I am admin,i have question,
> Question: " is it possible to run distributed spark jobs in Apache spark
> stan
Hi All,i am dinakar and I am admin,i have question,
Question: " is it possible to run distributed spark jobs in Apache spark
standalone cluster".if yes, could someone, help with the docs or webpages.
so that i can create and test it.Thanks in advance,
Dinakar
To whom it may concern,
Your products, Apache Spark 3.2.0 and Apache Scala 3.0, are candidate
technology for use within the U.S. General Services Administration (GSA)
enterprise environment. Technologies under review by GSA’s Office of the
Chief Technology Officer (OCTO) must be accompanied
ll the contributors!
>>>
>>> Xiao
>>>
>>> Henrik Peng 于2021年10月19日周二 上午8:26写道：
>>>
>>>> Congrats and thanks!
>>>>
>>>>
>>>> Gengliang Wang 于2021年10月19日 周二下午10:16写道：
>>>>
>>>>> Hi all,
>>
r community and all the contributors!
>>
>> Xiao
>>
>> Henrik Peng 于2021年10月19日周二 上午8:26写道：
>>
>>> Congrats and thanks!
>>>
>>>
>>> Gengliang Wang 于2021年10月19日 周二下午10:16写道：
>>>
>>>> Hi all,
>>>>
>&
t;>
>> Gengliang Wang 于2021年10月19日 周二下午10:16写道：
>>
>>> Hi all,
>>>
>>> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
>>> contribution from the open-source community, this release managed to
>>> resolve in excess o
Thank you, Gengliang!
Congrats to our community and all the contributors!
Xiao
Henrik Peng 于2021年10月19日周二 上午8:26写道：
> Congrats and thanks!
>
>
> Gengliang Wang 于2021年10月19日 周二下午10:16写道：
>
>> Hi all,
>>
>> Apache Spark 3.2.0 is the third release of the 3.x line
Congrats and thanks!
Gengliang Wang 于2021年10月19日 周二下午10:16写道：
> Hi all,
>
> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
> contribution from the open-source community, this release managed to
> resolve in excess of 1,700 Jira tickets.
>
> W
y thanks!
>
>
>
> *From:* Gengliang Wang
> *Sent:* Dienstag, 19. Oktober 2021 16:16
> *To:* dev ; user
> *Subject:* [ANNOUNCE] Apache Spark 3.2.0
>
>
>
> Hi all,
>
>
>
> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
> contributio
From: Gengliang Wang
> Sent: Dienstag, 19. Oktober 2021 16:16
> To: dev ; user
> Subject: [ANNOUNCE] Apache Spark 3.2.0
>
> Hi all,
>
> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
> contribution from the open-source community, this rel
Many thanks!
From: Gengliang Wang
Sent: Dienstag, 19. Oktober 2021 16:16
To: dev ; user
Subject: [ANNOUNCE] Apache Spark 3.2.0
Hi all,
Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
contribution from the open-source community, this release managed to resolve
Congratulations everyone !
And thanks Gengliang for sheparding the release out :-)
Regards,
Mridul
On Tue, Oct 19, 2021 at 9:25 AM Yuming Wang wrote:
> Congrats and thanks!
>
> On Tue, Oct 19, 2021 at 10:17 PM Gengliang Wang wrote:
>
>> Hi all,
>>
>> Apache Sp
Congrats and thanks!
On Tue, Oct 19, 2021 at 10:17 PM Gengliang Wang wrote:
> Hi all,
>
> Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
> contribution from the open-source community, this release managed to
> resolve in excess of 1,700 Jira tickets
Hi all,
Apache Spark 3.2.0 is the third release of the 3.x line. With tremendous
contribution from the open-source community, this release managed to
resolve in excess of 1,700 Jira tickets.
We'd like to thank our contributors and users for their contributions and
early feedback to this release
Also have you tried to see what is going on within k8s driver?
DRIVER_POD_NAME=`kubectl get pods -n $NAMESPACE |grep driver|awk '{print
$1}'`
kubectl describe pod $DRIVER_POD_NAME -n $NAMESPACE
kubectl logs $DRIVER_POD_NAME -n $NAMESPACE
view my Linkedin profile
Hi,
Airflow is nothing but a new version of cron on linux with dag dependency.
What operator in airflow are you using to submit your spark-submit for
example BashOperator?
Can you actually run the command outside of airflow by submitting
spark-submit to K8s cluster? Is that GKE cluster or
Hi All,
We are facing an issue and would be thankful if anyone can help us on this
issue.
Environment: Spark, Kubernetes and Airflow.
Airflow is used to schedule job spark job over kubernetes.
We are using bash script which is using spark submit command to submit
spark jobs.
Issue:
We are
Dear Spark Expert,
I have a issue with below "--conf 'spark.redaction.regex"
Issue:
I am passing some secret keys in spark-submit command. I am using below to
redact the key: --conf 'spark.redaction.regex='secret_key'
though it is working, the secret_key is visible in sparkUI during job
Unfortunately the answer you got from the forum is true. The current
Spark-rapids package doesn't support RDD. Please see
https://nvidia.github.io/spark-rapids/docs/FAQ.html#what-parts-of-apache-spark-are-accelerated
I guess to be able to use spark-rapids, one option you have would
Abhishek Shakya
wrote:
>
> Hi,
>
> I am currently trying to run genomic analyses pipelines using Hail(library
> for genomics analyses written in python and Scala). Recently, Apache Spark
> 3 was released and it supported GPU usage.
>
> I tried spark-rapids library to start an
Hi,
I am currently trying to run genomic analyses pipelines using Hail(library
for genomics analyses written in python and Scala). Recently, Apache Spark
3 was released and it supported GPU usage.
I tried spark-rapids library to start an on-premise slurm cluster with gpu
nodes. I was able
I don't think that has ever showed up in the CI/CD builds and can't recall
someone reporting this. What did you change? it may be some local env issue
On Fri, Sep 17, 2021 at 7:09 AM Enrico Minardi
wrote:
>
> Hello,
>
>
> the Maven build of Apache Spark 3.1.2 for user-provide
Hello,
the Maven build of Apache Spark 3.1.2 for user-provided Hadoop 2.10.1 with Hive
and Hive-Thriftserver profiles fails while compiling
spark-hive-thriftserver_2.12.
I am most probably missing something. Could you please help?
I have searched the Scala-Maven-Plugin website
(https
if that helps.
>
>
> On Wed, Sep 8, 2021 at 6:50 AM Mukhtar Ali
> wrote:
>
>> Dear
>>
>> Learning member of of https://learning.oreilly.com
>> some problem in install Apache Spark
>> I try both CMD and Jupyter file
>> same issue* Exception: Java g
earning.oreilly.com
> some problem in install Apache Spark
> I try both CMD and Jupyter file
> same issue* Exception: Java gateway process exited before sending its
> port number*
> please resolve this issue
> find the attachment in Jupyter
>
>
> In CMD
> C:\Users\User>
Dear
Learning member of of https://learning.oreilly.com
some problem in install Apache Spark
I try both CMD and Jupyter file
same issue* Exception: Java gateway process exited before sending its port
number*
please resolve this issue
find the attachment in Jupyter
In CMD
C:\Users\User>pysp
;>
>>view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which
sclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Sat, 24 Jul 2021 at 13:46, Dinakar Chennubotla <
> chennu.bigd...@gmail.com> wrote:
>
>> Hi All,
>>
>> I am Din
Sat, 24 Jul 2021 at 13:46, Dinakar Chennubotla <
> chennu.bigd...@gmail.com> wrote:
>
>> Hi All,
>>
>> I am Dinakar, Hadoop admin,
>> could someone help me here,
>>
>> 1. I have a DEV-POC task to do,
>> 2. Need to Installing Distributed apache-sp
g from
such loss, damage or destruction.
On Sat, 24 Jul 2021 at 13:46, Dinakar Chennubotla
wrote:
> Hi All,
>
> I am Dinakar, Hadoop admin,
> could someone help me here,
>
> 1. I have a DEV-POC task to do,
> 2. Need to Installing Distributed apache-spark cluster wi
build Distributed
> apache-spark cluster, using yarn or apache mesos.
>
> Sending you, my initial sketch. pictorial representation on the same.
>
> Could you help me with the below:
> ==
> As per the Diagram,
> 1. I have to write Dockerfiles with Apache
cluster is not allowed in
> standalone cluster".
>
> Source Url I used is:
>
> https://towardsdatascience.com/diy-apache-spark-docker-bb4f11c10d24?gi=fa52ac767c0b
>
> Kiddly refer this section in the url I mentioned.
> "Docker & Spark — Multiple Machines"
Databricks autoscaling works..). I am not sure k8s TBH, perhaps it's
handled this more gracefully
On Sat, Jul 24, 2021 at 3:38 PM Dinakar Chennubotla <
chennu.bigd...@gmail.com> wrote:
> Hi Khalid Mammadov,
>
> Thank you for your response,
> Yes, I did, I built standalone ap
Hi Khalid Mammadov,
Thank you for your response,
Yes, I did, I built standalone apache spark cluster on docker containers.
But I am looking for distributed spark cluster,
Where spark workers are scalable and spark "deployment mode = cluster".
Source url I used to built standalone ap
1. I have a DEV-POC task to do,
> 2. Need to Installing Distributed apache-spark cluster with Cluster mode
> on Docker containers.
> 3. with Scalable spark-worker containers.
> 4. we have a 9 node cluster with some other services or tools.
>
> Thanks,
> Dinakar
>
Hi All,
I am Dinakar, Hadoop admin,
could someone help me here,
1. I have a DEV-POC task to do,
2. Need to Installing Distributed apache-spark cluster with Cluster mode on
Docker containers.
3. with Scalable spark-worker containers.
4. we have a 9 node cluster with some other services or tools
Thank you, Yi!
On Thu, Jun 24, 2021 at 10:52 PM Yi Wu wrote:
> We are happy to announce the availability of Spark 3.0.3!
>
> Spark 3.0.3 is a maintenance release containing stability fixes. This
> release is based on the branch-3.0 maintenance branch of Spark. We strongly
> recommend all 3.0
We are happy to announce the availability of Spark 3.0.3!
Spark 3.0.3 is a maintenance release containing stability fixes. This
release is based on the branch-3.0 maintenance branch of Spark. We strongly
recommend all 3.0 users to upgrade to this stable release.
To download Spark 3.0.3, head
Did you include Apache Spark dependencies in your build? if you did, you
should remove it. If you are using sbt, all spark dependencies should be as
"provided".
On Wed, Jun 2, 2021 at 10:11 AM Kanchan Kauthale <
kanchankauthal...@gmail.com> wrote:
> Hello Sean,
>
> Pl
Hello Sean,
Please find below the stack trace-
java.lang.NoclassDefFoundError: Could not initialize class
org.spark.project.jetty.servlet.ServletContextHandler
at
org.apache.spark.ui.JettyUtils$.createServletHandler(JettyUtils.scala:143)
at
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