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README.md 4.15 KB
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Fengguang 提交于 2024-04-28 09:48 . convert config option names

Linux Kernel Performance tests

Getting started

For now, lkp install/run can only run by root user.

	git clone https://gitee.com/compass-ci/lkp-tests

	cd lkp-tests
	make install

	lkp help

Install dependency packages for jobs

	# browse and select a job you want to run, for example, jobs/hackbench.yaml
	ls lkp-tests/jobs
	
	# install the common dependencies for lkp
	lkp install

Run one atomic job

	lkp split-job lkp-tests/jobs/hackbench.yaml
	# output is:
	# jobs/hackbench.yaml => ./hackbench-1600%-process-pipe.yaml
	# jobs/hackbench.yaml => ./hackbench-1600%-process-socket.yaml
	# jobs/hackbench.yaml => ./hackbench-1600%-threads-pipe.yaml
	# jobs/hackbench.yaml => ./hackbench-1600%-threads-socket.yaml
	# jobs/hackbench.yaml => ./hackbench-50%-process-pipe.yaml
	# jobs/hackbench.yaml => ./hackbench-50%-process-socket.yaml
	# jobs/hackbench.yaml => ./hackbench-50%-threads-pipe.yaml
	# jobs/hackbench.yaml => ./hackbench-50%-threads-socket.yaml

	# install the remaining dependencies for the splited job
	lkp install ./hackbench-50%-threads-socket.yaml
	# or add -f option to force to install all dependencies
	lkp install -f ./hackbench-50%-threads-socket.yaml

	lkp run ./hackbench-50%-threads-socket.yaml

Run your own disk partitions

Specify disk partitions by defining hdd_partitions/sdd_partitions in host file named with local hostname and then lkp split-job will write the disk partitions information to split job file automatically.

Please note that disk partitions may be formatted/corrupted to run job.

	echo "hdd_partitions: /dev/sda /dev/sdb" >> lkp-tests/hosts/$(hostname | sed -r 's/-[0-9]+$//g' | sed -r 's/-[0-9]+-/-/g')
	lkp split-job lkp-tests/jobs/blogbench.yaml
	# output is:
	# lkp-tests/jobs/blogbench.yaml => ./blogbench-1HDD-ext4.yaml
	# lkp-tests/jobs/blogbench.yaml => ./blogbench-1HDD-xfs.yaml
	# ...
	lkp install ./blogbench-1HDD-ext4.yaml
	lkp run ./blogbench-1HDD-ext4.yaml

Run your own workload with monitors

To debug and compare your own workload with monitors

    # run in a good environment
    lkp run monit.yaml scene=s1 _cmd='<workload-command> <argument>'

    # run in a bad environment
    lkp run monit.yaml scene=s2 _cmd='<workload-command> <argument>'

    lkp compare -wa -g monit -d scene s1 s2

To run with more monitors, you may add more k=v like this

    lkp run monit.yaml scene=s1 _cmd='<workload-command> <argument>' \
            perf-stat.events=cache-misses,cache-references,dTLB-loads,dTLB-load-misses,iTLB-loads,iTLB-load-misses

Check result

	lkp result hackbench

Add extra scripts in post run stage

	# create new scripts or rename hidden template scripts in the directory
	echo "echo result_root: \$RESULT_ROOT" > post-run/print-result-root
	lkp run ./ebizzy-10s-1x-200%.yaml
	# output is:
	# ...
	# result_root: /lkp/result/ebizzy/10s-1x-200%/shao2-debian/debian/defconfig/gcc-6/5.7.0-2-amd64/1

Supported Distributions

Most test cases should install/run well in

  • Debian sid
  • Archlinux
  • CentOS7

There is however some initial support for:

  • OpenSUSE:
    • jobs/trinity.yaml
  • Fedora
  • Clear Linux(>=22640)

As for now, lkp-tests still needs to run as root.

Adding distribution support

If you want to add support for your Linux distribution you will need an installer file which allows us to install dependencies per job. For examples look at: distro/$os files.

Since packages can have different names we provide an adaptation mapping for a base Ubuntu package (since development started with that) to your own distribution package name, for example adaptation files see: distro/adaptation/*. For now adaptation files must have the architecture dependent packages (ie, that ends with the postfix :i386) towards the end of the adaptation file.

You will also want to add a case for your distribution on sync_distro_sources() on the file lib/install.sh.

Extra Documentation

Refer to https://github.com/intel/lkp-tests/wiki

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request
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