May 2017
Intermediate to advanced
270 pages
6h 18m
English
Content preview from Python High Performance - Second Edition
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Manual cluster setup
To instantiate scheduler and workers manually, one can use the dask-scheduler and dask-worker command-line utilities. First, we can initialize a scheduler using the dask-scheduler command:
$ dask-schedulerdistributed.scheduler - INFO - -----------------------------------------------distributed.scheduler - INFO - Scheduler at: tcp://192.168.0.102:8786distributed.scheduler - INFO - bokeh at: 0.0.0.0:8788distributed.scheduler - INFO - http at: 0.0.0.0:9786distributed.bokeh.application - INFO - Web UI: http://127.0.0.1:8787/status/distributed.scheduler - INFO - -----------------------------------------------
This will provide an address for the scheduler and a Web UI address that can be accessed to monitor the state of ...
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