Hi Mich,
Purpose is all spark executors running on K8s worker nodes writes their
processed task data [part files] to some shared storage , and now the Driver pod
running on same kubernetes Cluster will access that shared storage and convert
all those part files to single file.
So I am looking for Shared Storage Options available to persist the part files.
What is the best shared storage can be used to collate all executors part files
at one place.
Regards
Ranju
From: Mich Talebzadeh <mich.talebza...@gmail.com>
Sent: Monday, March 8, 2021 8:06 PM
To: Ranju Jain <ranju.j...@ericsson.com.invalid>
Cc: Attila Zsolt Piros <piros.attila.zs...@gmail.com>; user@spark.apache.org
Subject: Re: Spark 3.0.1 | Volume to use For Spark Kubernetes Executor Part
Files Storage
If the purpose is to use for temporary work and write put it in temporary
sub-directory under a give bucket
spark.conf.set("temporaryGcsBucket", config['GCPVariables']['tmp_bucket'])
That dict reference is to this yml file entry
CPVariables:
tmp_bucket: "tmp_storage_bucket/tmp"
just create a temporary bucket and sub-directory tmp underneath
tmp_storage_bucket/tmp
HTH
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On Sun, 7 Mar 2021 at 16:23, Ranju Jain
<ranju.j...@ericsson.com.invalid<mailto:ranju.j...@ericsson.com.invalid>> wrote:
Hi,
I need to save the Executors processed data in the form of part files , but I
think persistent Volume is not an option for this as Executors terminates after
their work completes.
So I am thinking to use shared volume across executor pods.
Should I go with NFS or is there any other Volume option as well to explore?
Regards
Ranju
