Related projects:
Before using perfrunner you should install the requirements listed in the requirements section. At a minimum you need Python 2.7, virtualenv, and libcouchbase.
First clone the perfrunner repo with the command below.
git clone https://github.com/couchbaselabs/perfrunner.git
Once inside the perfrunner directory create a virtual environment for all of the perfrunner dependencies and install all of the dependencies so that you can run perfrunner.
make
./env/bin/install -c ${cluster} -v ${version} -t ${toy}
./env/bin/cluster -c ${cluster} -t ${test_config}
For instance:
./env/bin/install -c clusters/vesta.spec -v 2.0.0-1976
./env/bin/install -c clusters/vesta.spec -v 2.1.1-PRF03 -t couchstore
./env/bin/cluster -c clusters/vesta.spec -t tests/comp_bucket_20M.test
./env/bin/perfrunner -c ${cluster} -t ${test_config}
For instance:
./env/bin/perfrunner -c clusters/vesta.spec -t tests/comp_bucket_20M.test
Overriding test config options (comma-separated section.option.value trios):
./env/bin/perfrunner -c clusters/vesta.spec -t tests/comp_bucket_20M.test \
load.size.512,cluster.initial_nodes.3 4
--verbose flag enables Fabric logging.
--nodebug flag disables debug phase (e.g., execution of cbcollect_info).
With --local flag localhost will be used as a workload generator.
Just run test target.
make test