upstream/mercurial-mirror Files · contrib/benchmarks/perf.py

worker: ability to disable thread unsafe tasks...

worker: ability to disable thread unsafe tasks The worker on Windows is implemented using a thread pool. If worker tasks are not thread safe, badness can occur. In addition, if tasks are executing CPU bound code and holding onto the GIL, there will be non-substantial overhead in Python context switching between active threads. This can result in significant slowdowns of tasks. This commit teaches the code for determining whether to use a worker to take thread safety into account. Effectively, thread unsafe tasks don't use the thread-based worker on Windows. Differential Revision: https://phab.mercurial-scm.org/D3962

Philippe Pepiot - - Load All Authors

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      # perf.py - asv benchmarks using contrib/perf.py extension

      #

      # Copyright 2016 Logilab SA <contact@logilab.fr>

      #

      # This software may be used and distributed according to the terms of the

      # GNU General Public License version 2 or any later version.

      from __future__ import absolute_import

      from . import perfbench

      @perfbench()

      def track_tags(perf):

          return perf("perftags")

      @perfbench()

      def track_status(perf):

          return perf("perfstatus", unknown=False)

      @perfbench(params=[('rev', ['1000', '10000', 'tip'])])

      def track_manifest(perf, rev):

          return perf("perfmanifest", rev)

      @perfbench()

      def track_heads(perf):

          return perf("perfheads")

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				# perf.py - asv benchmarks using contrib/perf.py extension
				#
				# Copyright 2016 Logilab SA <contact@logilab.fr>
				#
				# This software may be used and distributed according to the terms of the
				# GNU General Public License version 2 or any later version.

				from __future__ import absolute_import

				from . import perfbench

				@perfbench()
				def track_tags(perf):
				return perf("perftags")

				@perfbench()
				def track_status(perf):
				return perf("perfstatus", unknown=False)

				@perfbench(params=[('rev', ['1000', '10000', 'tip'])])
				def track_manifest(perf, rev):
				return perf("perfmanifest", rev)

				@perfbench()
				def track_heads(perf):
				return perf("perfheads")