Skip to main content

A Dask scheduler with custom SchedulerPlugins to support integration with Tethys Platform

Project description

Build Status Coverage Status

tethys_dask_scheduler

A Dask scheduler with custom SchedulerPlugins to support integration with Tethys Platform.

Installation

pip install tethys_dask_scheduler

OR

conda install -c conda-forge tethys_dask_scheduler

Start Scheduler

Start a scheduler that reports status updates to Tethys Portal.

$ dask-scheduler --preload tethys_dask_scheduler.plugin --tethys-host http://localhost:8000

distributed.preloading - INFO - Import preload module: tethys_dask_scheduler.plugin
distributed.scheduler - INFO - -----------------------------------------------
distributed.preloading - INFO - Import preload module: tethys_dask_scheduler.plugin
distributed.http.proxy - INFO - To route to workers diagnostics web server please install jupyter-server-proxy: python -m pip install jupyter-server-proxy
distributed.scheduler - INFO - -----------------------------------------------
distributed.scheduler - INFO - Clear task state
distributed.scheduler - INFO -   Scheduler at: tcp://192.168.10.100:8786
distributed.scheduler - INFO -   dashboard at:                     :8787
distributed.scheduler - INFO - Tethys Host at:     http://localhost:8000
distributed.preloading - INFO - Run preload setup click command: tethys_dask_scheduler.plugin
distributed.scheduler - INFO - Register worker <WorkerState 'tcp://192.168.10.100:34297', name: tcp://192.168.10.100:34297, status: running, memory: 0, processing: 0>
distributed.scheduler - INFO - Starting worker compute stream, tcp://192.168.10.100:34297
distributed.core - INFO - Starting established connection

Start Worker

Start a Dask distributed worker as usual:

$ dask-worker tcp://192.168.10.100:8786

distributed.nanny - INFO -         Start Nanny at: 'tcp://192.168.10.100:34359'
distributed.worker - INFO -       Start worker at: tcp://192.168.10.100:39569
distributed.worker - INFO -          Listening to: tcp://192.168.10.100:39569
distributed.worker - INFO -          dashboard at:       192.168.10.100:34857
distributed.worker - INFO - Waiting to connect to:  tcp://192.168.10.100:8786
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO -               Threads:                          6
distributed.worker - INFO -                Memory:                   7.77 GiB
distributed.worker - INFO -       Local Directory: /home/tethys/tethysdev/tethys_dask_scheduler/dask-worker-space/worker-4j_bj5hv
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO -         Registered to:  tcp://192.168.10.100:8786
distributed.worker - INFO - -------------------------------------------------
distributed.core - INFO - Starting established connection

Tests

Tests are executed using tox:

pip install .[tests]
tox

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tethys_dask_scheduler-2.0.0.tar.gz (5.6 kB view hashes)

Uploaded Source

Built Distribution

tethys_dask_scheduler-2.0.0-py3-none-any.whl (4.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page