Installing Celery - Revision history

Jpye at 10:14, 25 May 2020

2020-05-25T10:14:46Z

← Older revision		Revision as of 10:14, 25 May 2020
Line 18:		Line 18:
	120.0.0.1:6379> ping		120.0.0.1:6379> ping
	# response: PONG		# response: PONG
			</source>

			== RabbitMQ ==

			[https://www.rabbitmq.com/ RabbitMQ] does the coordination of tasks, including across multiple machines. We will set it up using standard Ubuntu packages, in contrast to what is suggested in the Celery documentation.

			<source lang=sh>
			sudo apt install rabbitmq-server
	</source>		</source>

	[[Category:Miscellany]]		[[Category:Miscellany]]

Jpye at 10:12, 25 May 2020

2020-05-25T10:12:08Z

← Older revision		Revision as of 10:12, 25 May 2020
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	<source lang=sh>		<source lang=sh>
	sudo apt install redis-server		$ sudo apt install redis-server
	</source>		</source>

Line 12:		Line 12:

	<source lang=sh>		<source lang=sh>
	sudo systemctl status redis		$ sudo systemctl status redis
	# response includes 'active(running)' and a 'Main PID' should be listed.		# response includes 'active(running)' and a 'Main PID' should be listed.
	redis-cli		$ redis-cli
	# the command prompt appears, at which you type 'ping'		# the command prompt appears, at which you type 'ping'
	120.0.0.1:6379> ping		120.0.0.1:6379> ping

Jpye at 10:11, 25 May 2020

2020-05-25T10:11:50Z

← Older revision		Revision as of 10:11, 25 May 2020
Line 1:		Line 1:
	[https://docs.celeryproject.org/ Celery] is a task for managing distributed task queues in Python, which makes it a powerful tool for running parallel simulations across multiple computers. This document aims to be a short overview to installing Celery on Ubuntu machines, including how to use Celery for solving parameter sweeps and optimisation studies using ASCEND.		[https://docs.celeryproject.org/ Celery] is a task for managing distributed task queues in Python, which makes it a powerful tool for running parallel simulations across multiple computers. This document aims to be a short overview to installing Celery on Ubuntu machines, including how to use Celery for solving parameter sweeps and optimisation studies using ASCEND.

			== Redis ==

			To store results of calculations, we will use [https://redis.io/ Redis]:

			<source lang=sh>
			sudo apt install redis-server
			</source>

			To test that it is working correctly:

			<source lang=sh>
			sudo systemctl status redis
			# response includes 'active(running)' and a 'Main PID' should be listed.
			redis-cli
			# the command prompt appears, at which you type 'ping'
			120.0.0.1:6379> ping
			# response: PONG
			</source>

	[[Category:Miscellany]]		[[Category:Miscellany]]

Jpye: Created page with "[https://docs.celeryproject.org/ Celery] is a task for managing distributed task queues in Python, which makes it a powerful tool for running parallel simulations across multi..."

2020-05-25T09:57:05Z

Created page with "[https://docs.celeryproject.org/ Celery] is a task for managing distributed task queues in Python, which makes it a powerful tool for running parallel simulations across multi..."

New page

[https://docs.celeryproject.org/ Celery] is a task for managing distributed task queues in Python, which makes it a powerful tool for running parallel simulations across multiple computers. This document aims to be a short overview to installing Celery on Ubuntu machines, including how to use Celery for solving parameter sweeps and optimisation studies using ASCEND.

[[Category:Miscellany]]