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Add docs pointing towards daft-launcher (in the distributed-computing…
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Raunak Bhagat committed Nov 22, 2024
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2 changes: 1 addition & 1 deletion .gitignore
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build
.cython_build
.hypothesis
.ropeproject

**/.ipynb_checkpoints/

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# Added by pyenv
.python-version


# Zed editor
.zed/

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2 changes: 1 addition & 1 deletion docs/source/conf.py
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"learn/install": "../install.html",
"learn/user_guides/dataframes": "intro-dataframes.html",
"learn/user_guides/types_and_ops": "intro-dataframes.html",
"learn/user_guides/remote_cluster_execution": "distributed-computing.html",
"learn/user_guides/remote_cluster_execution": "user_guide/distributed-computing",
"learn/quickstart": "learn/10-min.html",
"learn/10-min": "../10-min.html",
"user_guide/basic_concepts/expressions": "user_guide/expressions",
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2 changes: 1 addition & 1 deletion docs/source/migration_guides/coming_from_dask.rst
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Expand Up @@ -118,7 +118,7 @@ Dask supports the same data types as pandas. Daft is built to support many more
Distributed Computing and Remote Clusters
-----------------------------------------

Both Dask and Daft support distributed computing on remote clusters. In Dask, you create a Dask cluster either locally or remotely and perform computations in parallel there. Currently, Daft supports distributed cluster computing :doc:`with Ray <../user_guide/poweruser/distributed-computing>`. Support for running Daft computations on Dask clusters is on the roadmap.
Both Dask and Daft support distributed computing on remote clusters. In Dask, you create a Dask cluster either locally or remotely and perform computations in parallel there. Currently, Daft supports distributed cluster computing :doc:`with Ray <../user_guide/distributed-computing>`. Support for running Daft computations on Dask clusters is on the roadmap.

Cloud support for both Dask and Daft is the same.

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Expand Up @@ -67,3 +67,7 @@ You can take the IP address and port and pass it to Daft:
╰───────╯
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.. toctree::

distributed-computing/daft-launcher
10 changes: 10 additions & 0 deletions docs/source/user_guide/distributed-computing/daft-launcher.rst
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Daft Launcher
=====================

Getting started with running daft at a distributed scale can be tough.
Therefore, we've created a simple, open-sourced launcher to help you get started.

The tool, `daft-launcher <https://github.com/Eventual-Inc/daft-launcher>`_, is open-sourced and available to be run today!
To install it, you can run ``pip install daft-launcher`` (or using ``uv``, you can run ``uv pip install daft-launcher``).

To get started with it, please refer to our MDBook documentation, available `here <https://eventual-inc.github.io/daft-launcher/>`_.
1 change: 1 addition & 0 deletions docs/source/user_guide/index.rst
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Expand Up @@ -10,6 +10,7 @@ Daft User Guide
expressions
datatypes
dataframe-operations
distributed-computing
sql
aggregations
udf
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1 change: 0 additions & 1 deletion docs/source/user_guide/poweruser.rst
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poweruser/memory
poweruser/partitioning
poweruser/distributed-computing

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