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From Tathagata Das <t...@databricks.com>
Subject Re: Master vs. Slave Nodes Clarification
Date Tue, 14 Jul 2015 21:26:13 GMT
Just to be clear, you mean the Spark Standalone cluster manager's "master"
and not the applications "driver", right.
In that case, the earlier responses are correct.

TD

On Tue, Jul 14, 2015 at 11:26 AM, Mohammed Guller <mohammed@glassbeam.com>
wrote:

> The master node does not have to be similar to the worker nodes. It can be
> a smaller machine.
>
> In case of C*, again you don't need to have C* on the master node. You
> need C* and Spark workers co-located. Master can be on one of the C* node
> or a non-C* node.
>
> Mohammed
>
>
> -----Original Message-----
> From: algermissen1971 [mailto:algermissen1971@icloud.com]
> Sent: Sunday, July 12, 2015 12:35 PM
> To: Spark User
> Subject: Master vs. Slave Nodes Clarification
>
> Hi,
>
> I have a question that I really have problems with figuring out for myself:
>
> Does the master node in a spark cluster need to be a node similar to the
> slave nodes or should I rather view it as a coordinating node, that does
> not need much computing or storage power?
>
> For example, when using Spark Streaming and Checkpointing, would the
> master node need access to the shared file system (e.g. HDFS)? Or do I only
> need to mount that on the slaves?
> (likewise, if I use the Cassandra-Connector, does that (and C*) need to be
> installed on the master node, too?)
>
> Or, in other words: is the master just one node of similar cluster nodes,
> or is it merely a 'small control node', for which sort of any small VM
> would do?
>
> Jan
>
>
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