How to change the dask scheduler and workers?
I am newbie to dask and distributed. I want to change the dask scheduler instead of localhost to use another address of a server. I didn't find how to do it in the internet.
Could you help me please ?
Thanks.
python distributed dask
asked Nov 20 '18 at 8:46
user10640700user10640700
111
add a comment |
I am newbie to dask and distributed. I want to change the dask scheduler instead of localhost to use another address of a server. I didn't find how to do it in the internet.
Could you help me please ?
Thanks.
python distributed dask
asked Nov 20 '18 at 8:46
user10640700user10640700
111
add a comment |
I am newbie to dask and distributed. I want to change the dask scheduler instead of localhost to use another address of a server. I didn't find how to do it in the internet.
Could you help me please ?
Thanks.
python distributed dask
asked Nov 20 '18 at 8:46
user10640700user10640700
111
I am newbie to dask and distributed. I want to change the dask scheduler instead of localhost to use another address of a server. I didn't find how to do it in the internet.
Could you help me please ?
Thanks.
python distributed dask
python distributed dask
asked Nov 20 '18 at 8:46
user10640700user10640700
111
asked Nov 20 '18 at 8:46
user10640700user10640700
111
asked Nov 20 '18 at 8:46
user10640700user10640700
111
asked Nov 20 '18 at 8:46
user10640700user10640700
111
asked Nov 20 '18 at 8:46
user10640700user10640700
111
111
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
I suppose you can just pass the IP of a server into a worker constructor, like it's done it the docs http://docs.dask.org/en/latest/setup/python-advanced.html?highlight=scheduler#worker
w = Worker('tcp://{your_ip_here}:8786')
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
add a comment |
From the user session's point of view, you connect to the remote Dask scheduler using the client:
client = dask.distributed.Client('tcp://machine.ip:port')
where you need to fill in the machine's address and port as appropriate. You should not be constructing a Worker in your session, I am assuming that you scheduler already has some workers set up to talk to.
Yes, there are also ways to include the default address in config files, including having the scheduler write it for you on start-up, but the XML file you mention is unlikely to be something directly read by Dask. On the other hand, whoever designed your system may have its own config layer.
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I suppose you can just pass the IP of a server into a worker constructor, like it's done it the docs http://docs.dask.org/en/latest/setup/python-advanced.html?highlight=scheduler#worker
w = Worker('tcp://{your_ip_here}:8786')
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
add a comment |
I suppose you can just pass the IP of a server into a worker constructor, like it's done it the docs http://docs.dask.org/en/latest/setup/python-advanced.html?highlight=scheduler#worker
w = Worker('tcp://{your_ip_here}:8786')
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
add a comment |
I suppose you can just pass the IP of a server into a worker constructor, like it's done it the docs http://docs.dask.org/en/latest/setup/python-advanced.html?highlight=scheduler#worker
w = Worker('tcp://{your_ip_here}:8786')
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
I suppose you can just pass the IP of a server into a worker constructor, like it's done it the docs http://docs.dask.org/en/latest/setup/python-advanced.html?highlight=scheduler#worker
w = Worker('tcp://{your_ip_here}:8786')
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
answered Nov 20 '18 at 9:11
George Bekh-IvanovGeorge Bekh-Ivanov
13
13
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
add a comment |
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
Thanks for your answer, I want to know which file to modify ?
– user10640700
Nov 20 '18 at 9:29
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
How have you setup your project?
– George Bekh-Ivanov
Nov 20 '18 at 10:00
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
I get this project from an intern, so what I found is a file config.xml which configured to use the server
– user10640700
Nov 20 '18 at 10:05
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
Is your issue solved then?
– George Bekh-Ivanov
Nov 20 '18 at 10:07
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
When I put my ip address in the config file it seems to work
– user10640700
Nov 20 '18 at 10:25
add a comment |
From the user session's point of view, you connect to the remote Dask scheduler using the client:
client = dask.distributed.Client('tcp://machine.ip:port')
where you need to fill in the machine's address and port as appropriate. You should not be constructing a Worker in your session, I am assuming that you scheduler already has some workers set up to talk to.
Yes, there are also ways to include the default address in config files, including having the scheduler write it for you on start-up, but the XML file you mention is unlikely to be something directly read by Dask. On the other hand, whoever designed your system may have its own config layer.
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
add a comment |
From the user session's point of view, you connect to the remote Dask scheduler using the client:
client = dask.distributed.Client('tcp://machine.ip:port')
where you need to fill in the machine's address and port as appropriate. You should not be constructing a Worker in your session, I am assuming that you scheduler already has some workers set up to talk to.
Yes, there are also ways to include the default address in config files, including having the scheduler write it for you on start-up, but the XML file you mention is unlikely to be something directly read by Dask. On the other hand, whoever designed your system may have its own config layer.
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
add a comment |
From the user session's point of view, you connect to the remote Dask scheduler using the client:
client = dask.distributed.Client('tcp://machine.ip:port')
where you need to fill in the machine's address and port as appropriate. You should not be constructing a Worker in your session, I am assuming that you scheduler already has some workers set up to talk to.
Yes, there are also ways to include the default address in config files, including having the scheduler write it for you on start-up, but the XML file you mention is unlikely to be something directly read by Dask. On the other hand, whoever designed your system may have its own config layer.
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
From the user session's point of view, you connect to the remote Dask scheduler using the client:
client = dask.distributed.Client('tcp://machine.ip:port')
where you need to fill in the machine's address and port as appropriate. You should not be constructing a Worker in your session, I am assuming that you scheduler already has some workers set up to talk to.
Yes, there are also ways to include the default address in config files, including having the scheduler write it for you on start-up, but the XML file you mention is unlikely to be something directly read by Dask. On the other hand, whoever designed your system may have its own config layer.
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
answered Nov 20 '18 at 21:53
mdurantmdurant
10.8k11437
10.8k11437
add a comment |
add a comment |
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