[StarCluster] IPython parallel DirectView not distributing to starcluster nodes.

[Austin So]

Okay. So it appears to be related to IP[y]: Notebook.

Running the test script from the command line on the master shows distribution across all nodes. Running it on the same cluster through IP[y]: Notebook just shows the master.

A.


> On Jul 1, 2015, at 4:40 PM, Austin So <austin.so at tomabio.com> wrote:
> 
> Thanks.
> 
> Yes, I started checking before and after line execution, but nothing different. So a relaunch:
> 
> >>> IPCluster has been started on SecurityGroup:@sc-toma for user 'sgeadmin'
> with 159 engines on 5 nodes.
> 
> In IP[y]: Notebook
> 
> Through IP[y]: Notebook, I’m assigning 150 engines.
> 
> So using the following test code:
> 
> from IPython.parallel import Client
> ipclient = Client(packer = 'pickle')
> dview = ipclient[:]
> lview = ipclient.load_balanced_view()
> 
> Here I am getting an array of 150 elements as expected when using len(ipclient.ids)
> 
> Now executing code:
> 
> %%px --local
> import socket
> import pandas as pd
> def distribute(a):
> 	return socket.getfqdn()
> 
> a = pd.DataFrame(range(0,10000))
> 
> version 1a:
> dview.map(distribute, a[0]).get()
> 
> version 1b:
> lview.map(distribute, a[0]).get()
> 
> --This results in an output of ‘master’ in each element.
> 
> version 2:
> dview.scatter('a', a)
> dview.execute('b = distribute(a[0])', block=True)
> dview.gather('b', block=True)
> 
> --This also results in an output of ‘master’ in each element.
> 
> verifying with len(ipclient.ids) confirms that I have all the engines in place.
> 
> A.
> 
> 
> 
> 
> 
>> On Jul 1, 2015, at 11:14 AM, MinRK <benjaminrk at gmail.com <mailto:benjaminrk at gmail.com>> wrote:
>> 
>> Can you perhaps share a code sample? Have you verified that all the engines are registered with the Client (`Client.ids`) before submitting the tasks?
>> 
>> -MinRK
>> 
>> On Wed, Jul 1, 2015 at 9:09 AM, Austin So <austin.so at tomabio.com <mailto:austin.so at tomabio.com>> wrote:
>> I’ve been trying to figure out what I’m doing wrong here, and if it is an issue within the starcluster config file. I’ve exhausted all possible implementations in my code that I could think of.
>> 
>> During set up, 255 engines have been recorded to have been set-up by starcluster upon launch that are available to IPcluster.
>> 
>> Within IPython Notebooks, I’m trying to distribute a function across all my nodes and engines (5 at r3.8xlarge).
>> 
>> So when the line of code is running, I’m looking at qhost, and I see that only the Master is showing a CPU load. I look at the Cloud Metrics, and I see that only the Master is showing a CPU load. At the suggestion of a friend, I returned a socket.fqdn() call to identify if the results were processed by the master or one of the nodes. All results returned were generated by the Master.
>> 
>> Any hints to identify where the source of the problem lies would be greatly appreciated.
>> 
>> Best
>> 
>> Austin
>> 
>> 
>> 
>> 
>> 
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>> 
>> 
> 
> 
> 

==============================

Austin P. So, Ph. D.
Director, Research and Development





353E Vintage Park Dr.
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email: austin.so at tomabio.com

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