Skip to main content

No project description provided

Project description

dask-databricks

Cluster tools for running Dask on Databricks multi-node clusters.

Quickstart

To launch a Dask cluster on Databricks you need to create an init script with the following contents and configure your multi-node cluster to use it.

#!/bin/bash

# Install Dask + Dask Databricks
/databricks/python/bin/pip install --upgrade dask[complete] dask-databricks

# Start Dask cluster components
dask databricks run

Then from your Databricks Notebook you can quickly connect a Dask Client to the scheduler running on the Spark Driver Node.

import dask_databricks

client = dask_databricks.get_client()

Now you can submit work from your notebook to the multi-node Dask cluster.

def inc(x):
    return x + 1

x = client.submit(inc, 10)
x.result()

Dashboard

You can access the Dask dashboard via the Databricks driver-node proxy. The link can be found in Client or DatabricksCluster repr or via client.dashboard_link.

>>> print(client.dashboard_link)
https://dbc-dp-xxxx.cloud.databricks.com/driver-proxy/o/xxxx/xx-xxx-xxxx/8087/status

Releasing

Releases of this project are automated using GitHub Actions and the pypa/gh-action-pypi-publish action.

To create a new release push a tag to the upstream repo in the format x.x.x. The package will be built and pushed to PyPI automatically and then later picked up by conda-forge.

# Make sure you have an upstream remote
git remote add upstream git@github.com:dask-contrib/dask-databricks.git

# Create a tag and push it upstream
git tag x.x.x && git push upstream main --tags

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

dask_databricks-0.3.2.tar.gz (8.9 kB view hashes)

Uploaded Source

Built Distribution

dask_databricks-0.3.2-py3-none-any.whl (7.7 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