mirror of https://github.com/apache/druid.git
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12 KiB
Markdown
297 lines
12 KiB
Markdown
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# Docker Compose Configuration
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The integration tests use Docker Compose to launch Druid clusters. Each
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test defines its own cluster
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depending on what is to be tested. Since a large amount of the definition is
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common, we use inheritance to simplify cluster definition.
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Tests are split into categories so that they can run in parallel. Some of
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these categories use the same cluster configuration. To further reduce
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redundancy, test categories can share cluster configurations.
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See also:
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* [Druid configuration](druid-config.md) which is done via Compose.
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* [Test configuration](test-config.md) which tells tests about the
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cluster configuration.
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* [Docker compose specification](https://github.com/compose-spec/compose-spec/blob/master/spec.md)
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## File Structure
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Docker Compose files live in the `druid-it-cases` module (`test-cases` folder)
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in the `cluster` directory. There is a separate subdirectory for each cluster type
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(subset of test categories), plus a `Common` folder for shared files.
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## Shared Directory
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Each test has a "shared" directory that is mounted into each container to hold things
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like logs, security files, etc. The directory is known as `/shared` within the container,
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and resides in `target/<category>`. Even if two categories share a cluster configuration,
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they will have separate local versions of the shared directory. This is important to
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keep log files separate for each category.
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## Base Configurations
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Test clusters run some number of third-party "infrastructure" containers,
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and some number of Druid service containers. For the most part, each of
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these services (in Compose terms) is similar from test to test. Compose
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provides [an inheritance feature](
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https://github.com/compose-spec/compose-spec/blob/master/spec.md#extends)
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that we use to define base configurations.
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* `cluster/Common/dependencies.yaml` defines external dependencis (MySQL, Kafka, ZK
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etc.)
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* `cluster/Common/druid.yaml` defines typical settings for each Druid service.
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Test-specific configurations extend and customize the above.
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### Druid Configuration
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Docker compose passes information to Docker in the form of environment variables.
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The test use a variation of the environment-variable-based configuration used in
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the [public Docker image](https://druid.apache.org/docs/latest/tutorials/docker.html).
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That is, variables of the form `druid_my_config` are converted, by the image launch
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script, into properties of the form `my.config`. These properties are then written
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to a launch-specific `runtime.properties` file.
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Rather than have a test version of `runtime.properties`, instead we have a set of
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files that define properties as environment variables. All are located in
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`cases/cluster/Common/environment-configs`:
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* `common.env` - Properties common to all services. This is the test equivalent to
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the `common.runtime.properties` file.
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* `<service>.env` - Properties unique to one service. This is the test equivalent to
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the `service/runtime.properties` files.
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### MySQL Driver
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Unit tests can use any MySQL driver, typically MySQL or MariaDB. The tests use MySQL
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by default. Choose a different driver by setting the `MYSQL_DRIVER_CLASSNAME` environment
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variable when running tests. The variable chooses the selected driver both in the Druid
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server running in a container, and in the test "clients".
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### Special Environment Variables
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Druid properties can be a bit awkward and verbose in a test environment. A number of
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test-specific properties help:
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* `druid_standard_loadList` - Common extension load list for all tests, in the form
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of a comma-delimited list of extensions (without the brackets.) Defined in
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`common.env`.
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* `druid_test_loadList` - A list of additional extensions to load for a specific test.
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Defined in the `docker-compose.yaml` file for that test category. Do not include
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quotes.
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Example test-specific list:
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```text
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druid_test_loadList=druid-azure-extensions,my-extension
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```
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The launch script combines the two lists, and adds the required brackets and quotes.
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## Test-Specific Cluster
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Each test has a directory named `cluster/<category>`. Docker Compose uses this name
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as the cluster name which appears in the Docker desktop UI. The folder contains
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the `docker-compose.yaml` file that defines the test cluster.
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In the simplest case, the file just lists the services to run as extensions
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of the base services:
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```text
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services:
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zookeeper:
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extends:
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file: ../Common/dependencies.yaml
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service: zookeeper
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broker:
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extends:
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file: ../Common/compose/druid.yaml
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service: broker
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...
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```
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## Cluster Configuration
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If a test wants to run two of some service (say Coordinator), then it
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can use the "standard" definition for only one of them and must fill in
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the details (especially distinct port numbers) for the second.
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(See `HighAvilability` for an example.)
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By default, the container and internal host name is the same as the service
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name. Thus, a `broker` service resides in a `broker` container known as
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host `broker` on the Docker overlay network.
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The service name is also usually the log file name. Thus `broker` logs
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to `/target/<category>/logs/broker.log`.
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An environment variable `DRUID_INSTANCE` adds a suffix to the service
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name and causes the log file to be `broker-one.log` if the instance
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is `one`. The service name should have the full name `broker-one`.
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Druid configuration comes from the common and service-specific environment
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files in `/compose/environment-config`. A test-specific service configuration
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can override any of these settings using the `environment` section.
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(See [Druid Configuration](druid-config.md) for details.)
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For special cases, the service can define its configuration in-line and
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not load the standard settings at all.
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Each service can override the Java options. However, in practice, the
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only options that actually change are those for memory. As a result,
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the memory settings reside in `DRUID_SERVICE_JAVA_OPTS`, which you can
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easily change on a service-by-service or test-by-test basis.
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Debugging is enabled on port 8000 in the container. Each service that
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wishes to expose debugging must map that container port to a distinct
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host port.
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The easiest way understand the above is to look at a few examples.
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## Service Names
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The Docker Compose file sets up an "overlay" network to connect the containers.
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Each is known via a host name taken from the service name. Thus "zookeeper" is
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the name of the ZK service and of the container that runs ZK. Use these names
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in configuration within each container.
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### Host Ports
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Outside of the application network, containers are accessible only via the
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host ports defined in the Docker Compose files. Thus, ZK is known as `localhost:2181`
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to tests and other code running outside of Docker.
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## Test-Specific Configuration
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In addition to the Druid configuration discussed above, the framework provides
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three ways to pass test-specific configuration to the tests. All of these methods
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override any configuration in the `docker-compose` or cluster `env` files.
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The values here are passed into the Druid server as configuration values. The
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values apply to all services. (This mechanism does not allow service-specific
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values.) In all three approaches, use the `druid_` environment variable form.
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Precendence is in the order below with the user file lowest priority and environment
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variables highest.
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### User-specific `~/druid-it/<category.env` file
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If you are debugging a test, you may need to provide values specific to your setup.
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Examples include user names, passwords, credentials, cloud buckets, etc. Put these
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in a file in your *home* directory (not Druid development directory). Create a
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subdirectory `~/druid-it`, then create a separate file for each category that you
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want to customize. Create entries for your information:
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```text
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druid_cloud_bucket=MyBucket
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```
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### Test-specific `OVERRIDE_ENV` file
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Build scripts can pass values into Druid via a file. Set the `OVERRIDE_ENV` environment
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variable with the path to the file. Each line is formatted as above. The variable can
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be set on the command line:
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```bash
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OVERRIDE_ENV=/tmp/special.env ./cluster.sh up Category
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```
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It can also be set in Maven, or passed from the build environment, through Maven, to
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the script.
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### Environment variables
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Normally the environment of the script that runs Druid is separate from the environment
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passed to the container. However, the launch script will copy across any variable that
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starts with `druid_`. The variable can be set on the command line:
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```bash
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druid_my_config=my_value ./cluster.sh up Category
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```
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It can also be set in Maven, or passed from the build environment, through Maven, to
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the script. This is the preferred way to pass environment-specific information from
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Travis into the test containers.
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## Define a Test Cluster
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To define a test cluster, do the following:
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* Define the overlay network.
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* Extend the third-party services required (at least ZK and MySQL).
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* Extend each Druid service needed. Add a `depends_on` for `zookeeper` and,
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for the Coordinator and Overlord, `metadata`.
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* If you need multiple instances of the same service, extend that service
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twice, and define distinct names and port numbers.
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* Add any test-specific environment configuration required.
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## Generating `docker-compose.yaml` Files
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Each test has somewhat different needs for its test cluster. Yet, there is a
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great amount of consistency across test clusters and across services. The result,
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if we create files by hand, is a great amount of copy/paste redundancy, with all
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the problems that copy/paste implies.
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As an alternative, the framework provides a simple-minded way to generate the
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`docker-compose.yaml` file using a simple Python-based template mechanism. To use
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this:
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* Omit the test cluster directory: `cluster/<category>`.
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* Instead, create a template file: `templates/<category>.py`.
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* The minimal file appears below:
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```python
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from template import BaseTemplate, generate
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generate(__file__, BaseTemplate())
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```
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The above will generate a "generic" cluster: one of each kind of service, with
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either a Middle Manager or Indexer depending on the `USE_INDEXER`
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env var.
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You customize your specific cluster by creating a test-specific template class
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which overrides the various methods that build up the cluster. By using Python,
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we first build the cluster as a set of Python dictionaries and arrays, then
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we let [PyYAML](https://pyyaml.org/wiki/PyYAMLDocumentation) convert the objects
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to a YAML file. Many methods exist to help you populate the configuration tree.
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See any of the existing files for examples.
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For example, you can:
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* Add test-specific environment config to one, some or all services.
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* Add or remove services.
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* Create multiples of selected services.
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The advantage is that, as Druid evolves and we change the basics, those changes
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are automatically propagated to all test clusters.
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Once you've created your file, the test framework will re-generate the
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`docker-compose.yaml` file on each run to reflect any per-run customization.
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The generated file is found in `target/cluster/<category>/docker-compose.yaml`.
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As with all generated files: resist the temptation to change the generated file:
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change the template instead.
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The generated `docker-compose.yaml` file goes into a temporary folder:
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`target/cluster/<category>`. The script copies over the `Common` directory
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as well.
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