- Python 2.6 or 2.7
- pip or easy_install
pip install paramiko pip install boto
pip install btrc
pip install couchdbkit
pip install sphinx pip install sphinx-pypi-upload
pip install zc.buildout
$ ./testrunner -h Usage: testrunner [options] Options: -h, --help show this help message and exit -q -p PARAMS, --params=PARAMS Optional key=value parameters, comma-separated -p k=v,k2=v2,... -n, --noop NO-OP - emit test names, but don't actually run them e.g -n true -l LOGLEVEL, --log-level=LOGLEVEL e.g -l info,warning,error TestCase/Runlist Options: -i INI, --ini=INI Path to .ini file containing server information,e.g -i tmp/local.ini -c RUNLIST, --config=RUNLIST Config file name (located in the conf subdirectory), e.g -c py-view.conf -t TESTCASE, --test=TESTCASE Test name (multiple -t options add more tests) e.g -t performance.perf.DiskDrainRate
Initiate buildout directory structure, create sandbox, build packages and scripts, fetch dependencies, and etc.:
You can execute testrunner now:
Ini files represents the ns_server information which is accessible to the tests.
[global] section defines the rest username, password that tests use to login to ns_server.
[global] username:Administrator password:membase [membase] rest_username:Administrator rest_password:asdasd
[servers] section lists port and ssh related information. ssh connection information is required for small subset of tests where test needs to perform installation,backup or restore. If ns_server instances are started using ns_server/cluster_run script then you only need to define ip and port for those nodes.
[servers] 1:10.1.6.104_1 2:10.1.6.104_2 3:10.1.6.104_3 4:10.1.6.104_4 [10.1.6.104_1] ip:10.1.6.104 port:9000 [10.1.6.104_2] ip:10.1.6.104 port:9001 [10.1.6.104_3] ip:10.1.6.104 port:9002 [10.1.6.104_4] ip:10.1.6.104 port:9003
Test Execution and Reporting
For every test run testrunner creates a temp folder and dumps the logs and xunit reports in the newly generated folder.
for instance if you run
$ python testrunner.py -i resources/jenkins/single-node-centos-32.ini -t setgettests.MembaseBucket.value_100b -p your_first_parameter=x,your_second_parameter=y
you will see this summary after each test is ran:
summary so far suite setgettests.MembaseBucket , pass 1 , fail 0 logs and results are available under tmp-12-11-47
$ ls tmp-12-11-47/ report-12-11-47.xml-setgettests.MembaseBucket.xml value_100b.log
When using git on Linux/OSX systems, you might run into issues where git incorrectly believes Windows-related files have been modified. In reality, git is merely mis-treating CRLF line endings. Try the following...
$ cd testrunner $ git config core.autocrlf false
Running End to End Tests Before Submitting a Patch to Gerrit
Testrunner project has different test suites which can be run priori to submitting the code to gerrit. There are test suites that can be run against a single node which validates basic database operations such as persistence and bucket management. There are also key-value clustering related test cases which can be run against Membase/Couchbase 1.8 multiple nodes. Recently we have also been adding more tests which validates basic view functionalities on a cluster and on a single.
This make target will start ns_server using
cluster_run -n1 and run all the
test cases listed in conf/py-all-dev.conf. The test runtime can vary between
15-30 minutes depending on your machine.
Testrunner prints out a human readable pass/fail of the tests. Please refer to the "rerunning test" section for more information of how to re-run one single test against cluster_run.
This make target will start four ns_server(s) using
cluster_run -n4 and
runs all the test cases listed in conf/py-view.conf. The test runtime can vary
between 30-45 minutes. py-view.conf contains basic test cases which validates
clustering operations such as rebalancing.Each test is also parametrized so you
can easily modify this run list and change the number of docs or the
test will create a view, inserts 1000 documents, mutate those documents for 1
minute and run view queries in parallel to the load for 1 min. You can easily
change the parameters there to insert 1M items and keep the load running for 10
mins for example.
Using mcsoda to load json documents on to a node/cluster
mcsoda is a load generator tool that randomly generates json documents. It is available under testrunner/lib/perf_engines/ .
Mcsoda uses moxi port to distribute load in a cluster. The moxi can be set up on the server side or on a client side as follows:
From a client, load can be run on a cluster represented by: xx.xx.xx.xxx as:
lib/perf_engines/mcsoda.py xx.xx.xx.xxx:11211 vbuckets=1024 doc-gen=0 doc-cache=0 ratio-creates=0.5 ratio-sets=0.2 ratio-deletes=0.02 ratio-expirations=0.03 expiration=3600 min-value-size=2,4 threads=100 max-items=18000000 exit-after-creates=1 prefix=KEY_ max-creates=18000000
This is going to ensure that there will be 20% sets against 80% gets. Of the 20% sets, 50% will be creates and the rest updates. There shall be 2% deletes, and minimum item size varies from 2 to 4 Bytes. 3% of the items set will be marked as expired after a duration of 1 hour. The tool will use 100 threads to generate the json load, and every item will be prefixed by "KEY_". max_creates limits the no. of items created. All the load generated is going to get loaded on bucket "default". Prefix the IP by "bucket_name:password@", to load on to standard/sasl buckets.
For more options in mcsoda, type in:
Set up the moxi for a specific bucket on the client side as follows: (Make sure couchbase-server is installed on the client)
/opt/couchbase/bin/moxi -Z usr=Administrator,pwd=password,port_listen=11611, concurrency=1024,wait_queue_timeout=200,connect_timeout=400,connect_max_errors=3, connect_retry_interval=30000,auth_timeout=100,downstream_conn_max=128,downstream_timeout=5000, cycle=200 http://xx.xx.xx.xxx:8091/pools/default/bucketsStreaming/[bucket_name] -d
This command sets up moxi for the cluster on the client side at port 11611.
For more information on the moxi command, type in:
Once the moxi is all set up, run mcsoda against the moxi just set up:
lib/perf_engines/mcsoda.py localhost:11611 vbuckets=1024 doc-gen=0 doc-cache=0 ratio-creates=0.5 ratio-sets=0.2 ratio-deletes=0.02 min-value-size=2,4 threads=100 max-items=18000000 exit-after-creates=1 prefix=KEY_ max-creates=18000000