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CCM (for Cassandra Cluster Manager ... or something) ==================================================== A script/library to create, launch and remove a Apache Cassandra cluster on localhost. The goal of ccm and ccmlib is to make is easy to create, manage and destroy a small cluster on a local box. It is meant for testing of a Cassandra cluster. Requirements ------------ - A working python installation (tested to work with python 2.7). - pyYAML (http://pyyaml.org/ -- 'sudo easy_install pyYaml') - ccm works on localhost only for now. So if you want to create more than one node clusters the simplest way is to use multiple loopback aliases. On modern linux distribution you will probably have nothing to do, but on mac os x, you would have to create such aliases with sudo ifconfig lo0 alias 127.0.0.2 up sudo ifconfig lo0 alias 127.0.0.3 up ... Note that the usage section assumes that at least 127.0.0.1, 127.0.0.2 and 127.0.0.3 are available. - I'm pretty sure this doesn't work under Windows, but I accept pull requests Installation ------------ ccm uses python distutils so from the source directory: sudo ./setup.py install MacPorts has ccm available as a port: sudo port -v sync && sudo port -v install ccm Usage ----- Let's say you want to fire up a 3 nodes Cassandra cluster. * Short version * ccm create test -v 0.8.6 ccm populate -n 3 ccm start * Longer version * ccm works from a Cassandra source tree (not the jars). There is two way to tell ccm how to find the sources: 1. if you have downloaded *and* compiled Cassandra sources, you can ask ccm to use that by initiating a new cluster with: ccm create test --cassandra-dir=<path/to/cassandra-sources> or, from that source tree directory, simply ccm create test 2. you can ask ccm to use a released version of Cassandra. For instance to use Cassandra 0.8.6, do ccm create test -v 0.8.6 When doing so, ccm will download the source (from http://archive.apache.org/dist/cassandra), compile them and set the new cluster to use those. This means in particular that this command can take a few minutes the first time you create a cluster for a given version. After the first time, ccm keeps the sources compile in ~/.ccm/repository/, so the same command will be fast the next times (note however that if you create cluster with a lot of different versions, this will take you disk space). Once the cluster is created, you can populate it (with 3 nodes) and start all the nodes with: ccm populate -n 3 ccm start That will start 3 nodes on IP 127.0.0.[1, 2, 3] on port 9160 for thrift, port 7000 for the internal cluster communication and ports 7100, 7200 and 7300 for JMX. You can check that the cluster is correctly set up with ccm node1 ring You can then boostrap a 4th node with ccm add node4 -i 127.0.0.4 -j 7400 -b (populate is just a shortcut for adding multiple nodes initially) ccm then provides a number of conveniences, like flushing all of the nodes of the cluster: ccm flush or only one node: ccm node2 flush You can also easily look at the log file of a given node with: ccm node1 showlog Finally, you can get rid of the whole cluster (which will stop the node and remove all the data) with ccm remove The list of other provided command is available through ccm then each command is then documented through the -h (or --help) flag. For instance 'ccm add -h' describe the options for 'ccm add'. Where are things stored ----------------------- By default, ccm stores all the node data and configuration files under ~/.ccm/cluster_name/. This can be overridden using the --config-dir option with each command. CCM Lib ------- The ccm facilities are available programmatically through ccmlib. This could be use to implement automated tests again Cassandra. An hopefully self explanatory simple example of use of ccmlib could be: import ccmlib CLUSTER_PATH="." cluster = ccmlib.Cluster(CLUSTER_PATH, 'test', cassandra_version='0.8.6') cluster.populate(3).start() [node1, node2, node3] = cluster.nodelist() # do some test on the cluster/nodes. To connect to a node through thrift, # the host and port to a node is available through # node.network_interfaces['thrift'] cluster.flush() node2.compact() # do some other test # after the test, you can leave the cluster running, you can stop all nodes # using cluster.stop() but keep the data around (in CLUSTER_PATH/test), or # you can remove everything with cluster.remove() -- Sylvain Lebresne <firstname.lastname@example.org>