Waltz is a distributed/replicated write ahead log for transactions.
We have the documention here.
To build Waltz:
./gradlew clean build
To run a single test class:
./gradlew clean :waltz-storage:test -Dtest.single=StorageClientTest
To run a single test method:
./gradlew clean :waltz-storage:test --tests com.wepay.waltz.storage.client.StorageClientTest.testBasicReadWrite
Waltz also comes with a smoke test that starts:
It then sends 1 million transactions while turning the servers on and off at random. Afterwards, it validates that all transactions were received, and that the checksums of the data are identical. It also logs throughput and latency.
To run smoke tests:
bin/smoketest.sh
The smoke test output looks like:
0001[... .*. *]
0002[... .** *]
0003[... *** *]
0004[..* *** *]
0005[*.* *** *]
0006[*** *** *] --..-..-..-..-+..-..-+..-..-..-..-+..-..-..-..-..-..-+..+
0007[.** *** *] +++-..-..-..-
0008[*** *** *] +..-..-
0009[*** .** *]
0010[*.* .** *] +++..-..-..-..-..-..+-
0011[*.* *** *] ..
0012[*** *** *] +-..-..-..-+..-+..-..-..-..+-..-
Each state change results in a new line. The first four digits indicate the number of server/storage start/stops that have been triggered so far. The [... ... .]
portion indicates the state of the server nodes, storage nodes and the zookeeper server, where *
means that the process is up, and .
means that it's down. Lastly, the trailing part of the line indicates 1000 writes (-
), 1000 reads (.
), and retries (+
).
A log file (smoketest.log
) can be found in your home directory.
Waltz comes with a demo app that shows an example account balance database built on top of Waltz.
Start a test Waltz cluster in docker environment.
bin/test-cluster.sh start
Start a MySQL instance in docker environment.
bin/demo-bank-db.sh start
Run demo application with simple self-explanatory commands.
bin/demo-bank-app.sh
We implemented shell scripts to run a Waltz cluster in local Docker containers for testing purpose.
./gradlew distDocker
This builds the Docker images.
bin/test-cluster.sh start <- Start default cluster
bin/test-cluster.sh start <cluster_name> <- Start stopped cluster that is been already created
bin/test-cluster.sh start <cluster_name> <base_server_port> <base_storage_port> <- Start new cluster of one storage & server node running on provided ports
This creates a user defined docker network waltz-network
and
starts three container, a zookeeper server, a waltz storage node, and a waltz server node in waltz-network
.
Zookeeper port is 2181 inside waltz-network
and exposed to the host machine at 42181.
So, if you want to run a Waltz application outside of waltz-network
, use yourHostName:42181
for zookeeper.connectString
.
The cluster's root ZNode is /waltz_cluster
. So specify this as cluster.root
.
If the Docker images are not built yet, this script builds them.
However, it doesn't automatically build a new images even when the source code is modified.
You must rebuild images using distDocker
gradle task.
bin/test-cluster.sh stop <- stop all created clusters
bin/test-cluster.sh stop <cluster_name> <- stop cluster with the given cluster name
This stops waltz containers. You can resume the cluster using start <cluster_name>
command. All data in zookeeper and storages are preserved.
bin/test-cluster.sh clean <- This will remove all waltz containers including zookeeper, thus removes all data.
bin/test-cluster.sh clean <cluster_name> <- This will remove all two containers belonging to the same cluster. Zookeeper stays intact.
bin/test-cluster.sh restart <- This will restart all waltz containers and regenerate config files (equivalent to stop, start).
bin/test-cluster.sh restart <cluster_name> <- This will restart all two containers belonging to the same cluster and regenerate config files.
The test cluster is set up with a single partition by default. If you want to create the test cluster with multiple partitions, the environment variable WALTZ_TEST_CLUSTER_NUM_PARTITIONS to the desired number of partitions before creating the test cluster. For example, to create the test cluster with five partitions, do the following.
export WALTZ_TEST_CLUSTER_NUM_PARTITIONS=5
bin/test-cluster.sh start
First create a database. The following command will create a mysql container and the database.
bin/demo-bank-db.sh start
Then, start the demo application:
bin/demo-bank-app.sh
To stop the MySQL instance:
bin/demo-bank-db.sh stop
To remove the database:
bin/demo-bank-app.sh clean
Go through website/README.md