master does more work than that actually, I just explained why he should set 
MASTER_IP correctly

a simplified list:

1. maintain the  worker status

2. maintain in-cluster driver status

3. maintain executor status (the worker tells master what happened on the 
executor, 



-- 
Nan Zhu



On Wednesday, March 26, 2014 at 9:46 AM, Yana Kadiyska wrote:

> Nan (or anyone who feels they understand the cluster architecture well), can 
> you clarify something for me. 
> 
> From reading this user group and your explanation above it appears that the 
> cluster master is only involved in this during application startup -- to 
> allocate executors(from what you wrote sounds like the driver itself passes 
> the job/tasks to  the executors). From there onwards all computation is done 
> on the executors, who communicate results directly to the driver if certain 
> actions (say collect) are performed. Is that right? The only description of 
> the cluster I've seen came from here: 
> https://spark.apache.org/docs/0.9.0/cluster-overview.html but that picture 
> suggests there is no direct communication between driver and executors, which 
> I believe is wrong (unless I am misreading the picture -- I believe Master 
> and "Cluster Manager" refer to the same thing?). 
> 
> The very short form of my question is, does the master do anything other than 
> executor allocation?
> 
> 
> On Wed, Mar 26, 2014 at 9:23 AM, Nan Zhu <zhunanmcg...@gmail.com 
> (mailto:zhunanmcg...@gmail.com)> wrote:
> > what you only need to do is ensure your spark cluster is running well, (you 
> > can check by access the Spark UI to see if all workers are displayed)
> > 
> > then, you have to set correct SPARK_MASTER_IP in the machine where you run 
> > spark-shell 
> > 
> > The more details are :
> > 
> > when you run bin/spark-shell, it will start the driver program in that 
> > machine, interacting with the Master to start the application (in this 
> > case, it is spark-shell) 
> > 
> > the Master tells Workers to start executors for your application, and the 
> > executors will try to register with your driver, 
> > 
> > then your driver can distribute tasks to the executors, i.e. run in a 
> > distributed fashion 
> > 
> > 
> > Best, 
> > 
> > -- 
> > Nan Zhu
> > 
> > 
> > On Wednesday, March 26, 2014 at 9:01 AM, Sai Prasanna wrote:
> > 
> > > Nan Zhu, its the later, I want to distribute the tasks to the cluster 
> > > [machines available.]
> > > 
> > > If i set the SPARK_MASTER_IP at the other machines and set the slaves-IP 
> > > in the /conf/slaves at the master node, will the interactive shell code 
> > > run at the master get distributed across multiple machines ??? 
> > > 
> > > 
> > >  
> > > 
> > > 
> > > On Wed, Mar 26, 2014 at 6:32 PM, Nan Zhu <zhunanmcg...@gmail.com 
> > > (mailto:zhunanmcg...@gmail.com)> wrote:
> > > > what do you mean by run across the cluster? 
> > > > 
> > > > you want to start the spark-shell across the cluster or you want to 
> > > > distribute tasks to multiple machines?
> > > > 
> > > > if the former case, yes, as long as you indicate the right master URL 
> > > > 
> > > > if the later case, also yes, you can observe the distributed task in 
> > > > the Spark UI 
> > > > 
> > > > -- 
> > > > Nan Zhu
> > > > 
> > > > 
> > > > On Wednesday, March 26, 2014 at 8:54 AM, Sai Prasanna wrote:
> > > > 
> > > > > Is it possible to run across cluster using Spark Interactive Shell ?
> > > > > 
> > > > > To be more explicit, is the procedure similar to running standalone 
> > > > > master-slave spark. 
> > > > > 
> > > > > I want to execute my code in  the interactive shell in the 
> > > > > master-node, and it should run across the cluster [say 5 node]. Is 
> > > > > the procedure similar ???
> > > > > 
> > > > > 
> > > > > 
> > > > > 
> > > > > 
> > > > > -- 
> > > > > Sai Prasanna. AN
> > > > > II M.Tech (CS), SSSIHL
> > > > > 
> > > > > Entire water in the ocean can never sink a ship, Unless it gets 
> > > > > inside.
> > > > > All the pressures of life can never hurt you, Unless you let them in.
> > > > 
> > > 
> > > 
> > > 
> > > -- 
> > > Sai Prasanna. AN
> > > II M.Tech (CS), SSSIHL
> > > 
> > > Entire water in the ocean can never sink a ship, Unless it gets inside.
> > > All the pressures of life can never hurt you, Unless you let them in.
> > 
> 

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