- Spark internals and/or comparing spark 3 and 2
-- Spark Streaming & Spark Structured Streaming
-- Spark on notebooks
-- Spark on serverless (for example Spark on Google Cloud)
-- Spark on k8s
If you are willing to contribute to presentation materials, please register
your interest in slack/webinar
ort
engine etc. In that case, for real life examples one may consider
leveraging the Spark user community u...@spark.apache.org as well
I trust this helps
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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Read this
[SPARK-42485] SPIP: Shutting down spark structured streaming when the
streaming process completed current process - ASF JIRA (apache.org)
<https://issues.apache.org/jira/browse/SPARK-42485>
<https://issues.apache.org/jira/browse/SPARK-42485>HTH
Mich Talebzadeh,
Le
e or @Denny Lee
an email stating which topic and at what level you
would like to take part. We propose to do a peer review of the draft
presentation so no worries.
Looking forward to hearing from you.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Lim
Understood Nitin It would be wrong to act against one's conviction. I am
sure we can find a way around providing the contents
Regards
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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well.
Best of luck.
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead,
Palantir Technologies Limited
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and
contributions are welcome.
HTH
Mich Talebzadeh,
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Hi Martin.
Yes, that is the intent. There may be other ways, but I cannot think of.
HTH
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Hi Denny,
That Apache Spark Linkedin page
https://www.linkedin.com/company/apachespark/ looks fine. It also allows a
wider audience to benefit from it.
+1 for me
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Well that needs to be created first for this purpose. The appropriate name
etc. to be decided. Maybe @Denny Lee can
facilitate this as he offered his help.
cheers
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to is welcome
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Hi guys
To move forward I selected these topics from the thread "Online classes for
spark topics".
To take this further I propose a confluence page to be seup.
Opinions and how to is welcome
Cheers
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agreed. need to be enhanced!
HTH
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I forgot top ask which k8s cluster are you using, assuming some clod vendor
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What are those currently set in spark-submit and which spark version on k8s
--conf spark.driver.memory=2000m \
--conf spark.executor.memory=2000m \
HTH
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in a number of occasions?
Thanks
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Hi Kun,
Have you checked the doc procedure for SPIP here in case
Spark Project Improvement Proposals (SPIP) | Apache Spark
<https://spark.apache.org/improvement-proposals.html>
HT
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ication. I have tried to
make it generic. However, trademarks are acknowledged . I have tried not to
use color but I guess pointers are fair.
Let me know your thoughts.
Regards
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Hi,
Can someone disable the below login from spark forums please?
Sounds like someone left this email and we are receiving a spam type
message anytime we respond.
thanks
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if we are going to do it, we might as well do it all. it is more cost
effective so to speak.
HTH
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with Spark becoming more relevant to ETL
plus lesser extend to DS, I see the above order is fair
HTH
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considered?
Why were they rejected? If no alternatives have been considered, the
problem needs more thought.*
HTH
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If this is not just flip flopping the document pages and involves other
changes, then a proper impact analysis needs to be done to assess the
efforts involved. Personally I don't think it really matters.
HTH
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Hi,
Few details will help
1. Spark version
2. Spark SQL, Scala or PySpark
3. size of tables in join.
4. What does explain() or the joining operation show?
HTH
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om"
}
Cloud service account keys do not expire and require manual rotation.
Exporting service account keys has the potential to expand the scope of a
security breach if it goes undetected. If an exported key is stolen, an
attacker can use it to authenticate as that service account until noti
Hi Dongjoon.,
This was an oversight from my side. I confused your involvement with docker
build stuff.
HTH
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/list.html?dev@spark.apache.org
Thanks.
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great
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How many votes are needed for the approval state?
Thanks
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quickstart-create-cluster>
<https://cloud.google.com/dataproc/docs/guides/dpgke/quickstarts/dataproc-gke-quickstart-create-cluster>
Thanks
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*Disclaime
+1 for me
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Hi,
I thought we already voted to go ahead with this proposal!
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Great looking forward to it
Mich
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Hi,
Sounds like we are repeatedly getting out of office messages in Chinese
from this member. Is there any way an admin disables this account To save
usfrom being spammed?
Thanks
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That sounds like a good plan Holden!
Let us go for it
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Hi all,
Is this going to be a brainstorming meeting or there will be a prior agenda
to work around it?
thanks
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Ok Colin thanks for clarification
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Hi Colin,
Thanks for your reply.
I think both Yarn and Kubernetes are cluster managers plus Standalone and
Remotely Mesos. So I gather this discussion will focus on Spark on k8s
unless I am mistaken.
HTH,
Mich
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Hi Colin,
Environments meaning different (cloud) vendors or hosts?
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HTH
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Resending this feature request and proposing a possible solution
Can some advise if I need to complete
Spark project improvement proposal
<https://spark.apache.org/improvement-proposals.html>
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s possible.
HTH
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+1
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plate.
> While we are open to revise our design doc, it seems more like you are
> proposing the community to change the instruction per se?
>
> Kazu
>
> On Jan 31, 2023, at 11:24 AM, Mich Talebzadeh
> wrote:
>
> Hi,
>
> Thanks for these proposals. good suggestio
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Sure, I suggest that you add a note to that Jira and express your interest.
HTH
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ount.com",
"client_id": "123",
"auth_uri": "https://accounts.google.com/o/oauth2/auth";,
"token_uri": "https://oauth2.googleapis.com/token";,
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book, terminal, text editor, file browser, rich outputs, etc.) in a
> flexible and powerful user interface.*"
> https://github.com/jupyterlab/jupyterlab
>
> You will find them both at https://jupyter.org
>
> man. 5. sep. 2022 kl. 23:40 skrev Mich Talebzadeh <
> mi
Thanks Bjorn,
What are the differences and the functionality Jupyerlab brings in on top
of Jupyter notebook?
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BigQuery. What does the Jupyter notebook offer that others
don't?
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with Volcano. Has progress
made on that front.
Regards,
Mich
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e API can be used with (almost) any
> programming language.
>
> We would like to start a discussion on the document and any feedback is
> welcome!
>
> Thanks a lot in advance,
> Martin
>
--
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+1 as well receiving :)
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likely impact. Integration testing can be
achieved through CI/CD which I believe Spark relied on Jenkins until
recently.
HTH
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cheers,
Mich
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, this should
work. In reality Kafka will be running on its own container(s) plus the
zookeeper containers if any. So as far as i can ascertain, the
discussion is about deploying the compatible APIs
HTH
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Hi,
As a matter of interest do Spark releases deploy a specific regression
testing tool?
Thanks
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e the
thread
"How to gracefully shutdown Spark Structured Streaming" in
https://lists.apache.org/list.html?u...@spark.apache.org
HTH
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What is the definition of action here?
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Hi Simon,
These are relatively old documents. Specifically, what issues are you
foreseeing because of the driver service?
HTH
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ks \
--addons
HorizontalPodAutoscaling,HttpLoadBalancing,GcePersistentDiskCsiDriver \
--enable-autoupgrade \
--enable-autorepair \
--max-surge-upgrade 1 \
--max-unavailable-upgrade 0 \
--enable-shielded-nodes \
--node-locations "europe-west2-c"
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or FEATURES=”org.apache.spark.deploy.k8s.features.VolcanoFeatureStep”,
could that be one reason?
Regards,
Mich
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ken for the volcano runs.
Any comments are welcome.
HTH
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Volcano
Thanks
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Thanks Janak, the same as GKE conventional or GKE autopilot.
<https://cloud.google.com/kubernetes-engine>
Putting conventional aside, why do you think customers should choose a
fully managed package* for Spark*?
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Hi Janak,
Are you talking about EKS Fargate?
Thanks
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4.2
wrapt1.13.3
xgboost 1.5.2
zipp 3.7.0
zope.interface 5.4.0
Let me know how it works for you.
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from relying on this email&
ues.apache.org/jira/browse/SPARK-36339>:
>>Memory leak in ExecutorAllocationListener breaks dynamic allocation under
>>high load
>>
>> Links to wrong jira ticket?
>>
>> Mich Talebzadeh 于2022年2月22日周二 15:49写道:
>>
>>> Well, that is pretty easy to do.
&
-8-jre-slim-buster
HTH
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d JAVA 11 respectively
I believe it is a good thing and we ought to adopt that convention. For
example:
spark-py-3.2.1-scala_2.12-11-jre-slim-buster
HTH
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forwarded
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well that docker link is not found! may be permission issue
[image: image.png]
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Added dockers for Spark 3.2.1 with default11-jre-slim-buster for spark and
spark-py
HTH
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8-jre-slim-buster
Let me know if any issues
HTH
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d one just
wants to deploy it on the GCP, so even if, say, the Beam programming
mode/dataflow is superior to Hadoop, someone with a lot of Hadoop code
might still choose Dataproc or GDE for the time being, rather than
rewriting their code on Beam to run on Dataflow.
HTH
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and I appreciate feedback from other
members that have experimented with GKE autopilot or AWS Fargate or are
familiar with k8s.
Thanks
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QX6-QH_J9YV2C2Dh6RpXefUpLM7KGkzL6Fg>
and
2) Storage Partitioned Join for Data Source V2
<https://docs.google.com/document/d/1foTkDSM91VxKgkEcBMsuAvEjNybjja-uHk-r3vtXWFE/edit#heading=h.82w8qxfl2uwl>
HTH
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that autoscaling is only applied to workload at a clean
state.
HTH
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es?
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Not as far as I know. If your driver pod fails, then you need to resubmit
the job. I cannot see what else can be done?
HTH
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e there is a business value proposition to
use Pub/Sub in the whole chain.
HTH
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it you are trying to make Pub/Sub behave like SSS. If that is
the case, then will Pub/Sub still be required to pass the topics?
HTH
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e.
Cheers
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Performance optimization for high-performance workloads
"
If we agree on the above points mentioned by @William Wang, I propose that
they should be incorporated into the doc
HTH
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+1 (non-binding)
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+1 non-binding
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u want to fit exactly one Spark executor pod per
Kubernetes node with the current model.
HTH
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abilities that users care about.
> - Full lifecycle management for jobs
> - Scheduling policies for high-performance workloads(fair-share, topology,
> sla, reservation, preemption, backfill etc)
> - Support for heterogeneous hardware
> - Performance optimization for high-performance work
+1 non-binding
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Interesting,thanks
Do you have any indication of the ballpark figure (a rough numerical
estimate) of adding Volcano as an alternative scheduler is going to improve
Spark on k8s performance?
Thanks
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ning FailedScheduling 17m default-scheduler 0/3
nodes are available: 3 Insufficient memory.
Normal NotTriggerScaleUp 2m28s (x92 over 17m) cluster-autoscaler pod
didn't trigger scale-up:
HTH
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time. It would be interesting if others have done similar
configuration and their experience.
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din profile
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The aut
Thanks Rob for spotting the error!
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le
*Exception in thread "main" org.apache.spark.SparkException: Must specify
the driver container image*
Sounds like that regardless you still have to specify the container image
explicitly
HTH
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3.1.1-scala_2.12-8-jre-slim-buster-java8WithPyyaml and the executors will
have 3.1.1-scala_2.12-8-jre-slim-buster-addedpackages with the additional
packages.
Cheers
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