docs/source/python/benchmarks.rst - arrow - Git at Google

 .. Licensed to the Apache Software Foundation (ASF) under one
 .. or more contributor license agreements.  See the NOTICE file
 .. distributed with this work for additional information
 .. regarding copyright ownership.  The ASF licenses this file
 .. to you under the Apache License, Version 2.0 (the
 .. "License"); you may not use this file except in compliance
 .. with the License.  You may obtain a copy of the License at

 ..   http://www.apache.org/licenses/LICENSE-2.0

 .. Unless required by applicable law or agreed to in writing,
 .. software distributed under the License is distributed on an
 .. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 .. KIND, either express or implied.  See the License for the
 .. specific language governing permissions and limitations
 .. under the License.

 .. _python-benchmarks:

 Benchmarks
 ==========

 The ``pyarrow`` package comes with a suite of benchmarks meant to
 run with `ASV`_.  You'll need to install the ``asv`` package first
 (``pip install asv`` or ``conda install -c conda-forge asv``).

 Running the benchmarks
 ----------------------

 To run the benchmarks for a locally-built Arrow, run ``asv dev`` or
 ``asv run --python=same``.

 We use conda environments as part of running the benchmarks. To use the ``asv``
 setup, you must set the ``$CONDA_HOME`` environment variable to point to the
 root of your conda installation.

 Running for arbitrary Git revisions
 -----------------------------------

 ASV allows to store results and generate graphs of the benchmarks over
 the project's evolution.  You need to have the latest development version of ASV:

 .. code::

     pip install git+https://github.com/airspeed-velocity/asv

 Now you should be ready to run ``asv run`` or whatever other command
 suits your needs.  Note that this can be quite long, as each Arrow needs
 to be rebuilt for each Git revision you're running the benchmarks for.

 Compatibility
 -------------

 We only expect the benchmarking setup to work on a Unix-like system with bash.

 .. _asv: https://asv.readthedocs.org/
	.. Licensed to the Apache Software Foundation (ASF) under one
	.. or more contributor license agreements. See the NOTICE file
	.. distributed with this work for additional information
	.. regarding copyright ownership. The ASF licenses this file
	.. to you under the Apache License, Version 2.0 (the
	.. "License"); you may not use this file except in compliance
	.. with the License. You may obtain a copy of the License at

	.. http://www.apache.org/licenses/LICENSE-2.0

	.. Unless required by applicable law or agreed to in writing,
	.. software distributed under the License is distributed on an
	.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	.. KIND, either express or implied. See the License for the
	.. specific language governing permissions and limitations
	.. under the License.

	.. _python-benchmarks:

	Benchmarks
	==========

	The ``pyarrow`` package comes with a suite of benchmarks meant to
	run with `ASV`_. You'll need to install the ``asv`` package first
	(``pip install asv`` or ``conda install -c conda-forge asv``).

	Running the benchmarks
	----------------------

	To run the benchmarks for a locally-built Arrow, run ``asv dev`` or
	``asv run --python=same``.

	We use conda environments as part of running the benchmarks. To use the ``asv``
	setup, you must set the ``$CONDA_HOME`` environment variable to point to the
	root of your conda installation.

	Running for arbitrary Git revisions
	-----------------------------------

	ASV allows to store results and generate graphs of the benchmarks over
	the project's evolution. You need to have the latest development version of ASV:

	.. code::

	pip install git+https://github.com/airspeed-velocity/asv

	Now you should be ready to run ``asv run`` or whatever other command
	suits your needs. Note that this can be quite long, as each Arrow needs
	to be rebuilt for each Git revision you're running the benchmarks for.

	Compatibility
	-------------

	We only expect the benchmarking setup to work on a Unix-like system with bash.

	.. _asv: https://asv.readthedocs.org/