Testing extensions
Testing Camel Quarkus extensions is very similar to testing Camel Quarkus applications. In both cases, the tests interact with a Camel Quarkus application. The main difference is in the purpose of the tested application: when testing extensions, it is there just for the sake of testing. We use it as a means to indirectly verify the functionality of the underlying extension(s).
Anatomy of an extension integration test
The application
The application under test lives under src/main
directory of the test module. It should typically contain one or more Camel routes that utilize the Camel component brought by the extension under test.
ProducerTemplate
may be favorable over having a full-fledged route, e.g. when it helps to avoid additional dependencies or where it helps to keep the test application simple.
On the other hand, the use of ConsumerTemplate
should be assessed carefully. In some cases, it may use a different Consumer
implementation (polling vs. non-polling) than what would be used by the given component in a route. Thus, a test application with ConsumerTemplate
may miss covering important execution paths. The rule of thumb is to use ConsumerTemplate
only for components whose default consumer implements PollingConsumer
.
Tests
Because native tests run in a process separate from the JVM running the tests, all communication between the tests and the application under test must go over network or some other kind of interprocess communication. We typically use JAX-RS endpoints (on the application side) and RestAssured (on the test side) for this purpose.
As suggested in the Testing user guide, our native tests typically extend their JVM counterparts using the same test code for both JVM and native mode. For this reason we abstain from using CDI and direct call of application code in our tests.
Except for RestAssured, we also use Awaitility for awaiting some state and AssertJ for more advanced assertions.
As mentioned in Create new extension section, |
Minimal set of dependencies
Keeping the set of test module dependencies as small as possible has several advantages:
-
Less code is faster to compile to native image
-
Additional code may introduce some side effects, mainly in native compilation. For instance, an extension A may configure the native compiler in such a way that it causes also extension B to work properly in native mode. However, if B was tested in isolation, it would not work.
-
This rule also applies to
junit
,testcontainers
,rest-assured
,assertj
and similar testing dependencies: Unless there is some really good reason to do the opposite, they should be kept in Maventest
scope. Having them in thecompile
orruntime
scope makes them analyzed and possibly compiled by GraalVM when the tests are run in native mode. On one hand, it makes the native compilation slower and on the other hand, those testing artifacts may cause native compilation issues.
Grouping
Some of our test modules have very similar sets of dependencies. While it is important to test them in isolation, running each separately takes quite a lot of time, mainly due to native compilation. In such cases, it may make sense to create a "grouped" module that unifies (using some tooling) several isolated tests. The grouped module may then be preferred in a CI job that validates pull requests, while the isolated tests are run only once a day.
How grouping works
-
The isolated test modules are located under
integration-test-groups
directory of the source tree. -
For each subdirectory of
integration-test-groups
there is a grouped test module underintegration-tests
. E.g. forintegration-test-groups/azure
there isintegration-tests/azure-grouped
. -
Grouped modules dynamically pull all sources from their associated isolated test modules to their
target/[test-]classes
directories respectively. -
application.properties
files and service descriptors are concatenated using a Groovy script. -
The dependencies in the grouped
pom.xml
need to be updated manually viamvn process-resources -Pformat -N
run from the root directory of the source tree.
Coverage
When porting a Camel component to Quarkus, we generally do not want to duplicate all the fine grained tests that are often available in Camel already. Our main goal is to make sure that the main use cases work well in native mode. But how can you figure out which are those?
The use cases explained in the given components documentation usually give a good guidance. For example, when writing tests for the SQL extension, you would go to documentation page of the SQL component and try to cover the use cases mentioned there: Treatment of the message body Result of the query, Using StreamList, etc.
In any case, both consumer and producer of the component (if the component supports both) should be covered.
Lightweight functional tests
Especially when testing various configuration setups, having a separate integration test module for each configuration set would be an overkill. io.quarkus.test.QuarkusUnitTest
may suit well for such situations.
A big advantage of this kind of tests is that they are very lightweight and fast. But on the other hand, they are executed only in JVM mode.
Please refer to the Servlet extension for an examples.