Ok

As I see it with PySpark even if it is submitted as cluster, it will be
converted to client mode anyway

Are you running this on AWS or GCP?


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On Thu, 12 Aug 2021 at 12:42, Bode, Meikel, NMA-CFD <
meikel.b...@bertelsmann.de> wrote:

> Hi Mich,
>
>
>
> All PySpark.
>
>
>
> Best,
>
> Meikel
>
>
>
> *From:* Mich Talebzadeh <mich.talebza...@gmail.com>
> *Sent:* Donnerstag, 12. August 2021 13:41
> *To:* Bode, Meikel, NMA-CFD <meikel.b...@bertelsmann.de>
> *Cc:* user@spark.apache.org
> *Subject:* Re: K8S submit client vs. cluster
>
>
>
> Is this Spark or PySpark?
>
>
>
>
>
>
>    view my Linkedin profile
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> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
>
>
>
> On Thu, 12 Aug 2021 at 12:35, Bode, Meikel, NMA-CFD <
> meikel.b...@bertelsmann.de> wrote:
>
> Hi all,
>
>
>
> If we schedule a spark job on k8s, how are volume mappings handled?
>
>
>
> In client mode I would expect that drivers volumes have to mapped manually
> in the pod template. Executor volumes are attached dynamically based on
> submit parameters. Right…?
>
>
>
> I cluster mode I would expect that volumes for drivers/executors are taken
> from submit command and attached to the pods accordingly. Right…?
>
>
>
> Any hints appreciated,
>
>
>
> Best,
>
> Meikel
>
>

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