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From Kushagra Deep <Kushagra.D...@mobileum.com>
Subject Re: Spark as computing engine vs spark cluster
Date Mon, 12 Oct 2020 17:57:35 GMT
Hi Santosh,

Spark is a distributed computation engine . You may ask why distributed ? The answer is when
things are distributed, memory and cores can be increased to process parallely on scale .
Since it is difficult to scale things vertically we scale horizontally.

Thanks And Regards
Kushagra Deep

From: Mich Talebzadeh <mich.talebzadeh@gmail.com>
Date: Monday, 12 October 2020 at 11:23 PM
To: Santosh74 <sardesaisantosh@gmail.com>
Cc: "user @spark" <user@spark.apache.org>
Subject: Re: Spark as computing engine vs spark cluster

Hi Santosh,

Generally speaking, there are two ways of making a process faster:

1.       Do more intelligent work by creating indexes, cubes etc thus reducing the processing
time
2.       Throw hardware and memory at it using something like Spark multi-cluster with fully
managed cloud service like Google Dataproc
So the framework is a computational engine (Spark) and the physical realisation is achieved
by creating a Spark cluster (multi nodes/VM hosts) that work in tandem and provide parallel
processing. I suggest that you look at Spark docs  <https://spark.apache.org/>

HTH


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On Sat, 10 Oct 2020 at 15:24, Santosh74 <sardesaisantosh@gmail.com<mailto:sardesaisantosh@gmail.com>>
wrote:
Is spark compute engine only or it's also cluster which comes with set of
hardware /nodes  ? What exactly is spark clusterr?



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