Testing in Java & JVM projects
Testing on the JVM is a rich subject matter. There are many different testing libraries and frameworks, as well as many different types of test. All need to be part of the build, whether they are executed frequently or infrequently. This chapter is dedicated to explaining how Gradle handles differing requirements between and within builds, with significant coverage of how it integrates with the two most common testing frameworks: JUnit and TestNG.
It explains:
-
Ways to control how the tests are run (Test execution)
-
How to select specific tests to run (Test filtering)
-
What test reports are generated and how to influence the process (Test reporting)
-
How Gradle finds tests to run (Test detection)
-
How to make use of the major frameworks' mechanisms for grouping tests together (Test grouping)
But first, we look at the basics of JVM testing in Gradle.
The basics
All JVM testing revolves around a single task type: Test. This runs a collection of test cases using any supported test library — JUnit, JUnit Platform or TestNG — and collates the results. You can then turn those results into a report via an instance of the TestReport task type.
In order to operate, the Test
task type requires just two pieces of information:
-
Where to find the compiled test classes (property: Test.getTestClassesDirs())
-
The execution classpath, which should include the classes under test as well as the test library that you’re using (property: Test.getClasspath())
When you’re using a JVM language plugin — such as the Java Plugin — you will automatically get the following:
-
A dedicated
test
source set for unit tests -
A
test
task of typeTest
that runs those unit tests
The JVM language plugins use the source set to configure the task with the appropriate execution classpath and the directory containing the compiled test classes. In addition, they attach the test
task to the check
lifecycle task.
It’s also worth bearing in mind that the test
source set automatically creates corresponding dependency configurations — of which the most useful are testImplementation
and testRuntimeOnly
— that the plugins tie into the test
task’s classpath.
All you need to do in most cases is configure the appropriate compilation and runtime dependencies and add any necessary configuration to the test
task. The following example shows a simple setup that uses JUnit 4.x and changes the maximum heap size for the tests' JVM to 1 gigabyte:
Groovy
Kotlin
dependencies {
testImplementation 'junit:junit:4.12'
}
test {
useJUnit()
maxHeapSize = '1G'
}
The Test task has many generic configuration options as well as several framework-specific ones that you can find described in JUnitOptions, JUnitPlatformOptions and TestNGOptions. We cover a significant number of them in the rest of the chapter.
If you want to set up your own Test
task with its own set of test classes, then the easiest approach is to create your own source set and Test
task instance, as shown in Configuring integration tests.
Test execution
Gradle executes tests in a separate ('forked') JVM, isolated from the main build process. This prevents classpath pollution and excessive memory consumption for the build process. It also allows you to run the tests with different JVM arguments than the build is using.
You can control how the test process is launched via several properties on the Test
task, including the following:
maxParallelForks
— default: 1-
You can run your tests in parallel by setting this property to a value greater than 1. This may make your test suites complete faster, particularly if you run them on a multi-core CPU. When using parallel test execution, make sure your tests are properly isolated from one another. Tests that interact with the filesystem are particularly prone to conflict, causing intermittent test failures.
Your tests can distinguish between parallel test processes by using the value of the
org.gradle.test.worker
property, which is unique for each process. You can use this for anything you want, but it’s particularly useful for filenames and other resource identifiers to prevent the kind of conflict we just mentioned. forkEvery
- default: 0 (no maximum)-
This property specifies the maximum number of test classes that Gradle should run on a test process before its disposed of and a fresh one created. This is mainly used as a way to manage leaky tests or frameworks that have static state that can’t be cleared or reset between tests.
Warning: a low value (other than 0) can severely hurt the performance of the tests
ignoreFailures
— default: false-
If this property is
true
, Gradle will continue with the project’s build once the tests have completed, even if some of them have failed. Note that, by default, theTest
task always executes every test that it detects, irrespective of this setting. failFast
— (since Gradle 4.6) default: false-
Set this to
true
if you want the build to fail and finish as soon as one of your tests fails. This can save a lot of time when you have a long-running test suite and is particularly useful when running the build on continuous integration servers. When a build fails before all tests have run, the test reports only include the results of the tests that have completed, successfully or not.You can also enable this behavior by using the
--fail-fast
command line option. testLogging
— default: not set-
This property represents a set of options that control which test events are logged and at what level. You can also configure other logging behavior via this property. See TestLoggingContainer for more detail.
See Test for details on all the available configuration options.
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|
The test process can exit unexpectedly if configured incorrectly. For instance, if the Java executable does not exist or an invalid JVM argument is provided, the test process will fail to start. Similarly, if a test makes programmatic changes to the test process, this can also cause unexpected failures. For example, issues may occur if a |
Test filtering
It’s a common requirement to run subsets of a test suite, such as when you’re fixing a bug or developing a new test case. Gradle provides two mechanisms to do this:
-
Filtering (the preferred option)
-
Test inclusion/exclusion
Filtering supersedes the inclusion/exclusion mechanism, but you may still come across the latter in the wild.
With Gradle’s test filtering you can select tests to run based on:
-
A fully-qualified class name or fully qualified method name, e.g.
org.gradle.SomeTest
,org.gradle.SomeTest.someMethod
-
A simple class name or method name if the pattern starts with an upper-case letter, e.g.
SomeTest
,SomeTest.someMethod
(since Gradle 4.7) -
'*' wildcard matching
You can enable filtering either in the build script or via the --tests
command-line option. Here’s an example of some filters that are applied every time the build runs:
Groovy
Kotlin
test {
filter {
//include specific method in any of the tests
includeTestsMatching "*UiCheck"
//include all tests from package
includeTestsMatching "org.gradle.internal.*"
//include all integration tests
includeTestsMatching "*IntegTest"
}
}
For more details and examples of declaring filters in the build script, please see the TestFilter reference.
The command-line option is especially useful to execute a single test method. When you use --tests
, be aware that the inclusions declared in the build script are still honored. It is also possible to supply multiple --tests
options, all of whose patterns will take effect. The following sections have several examples of using the command-line option.
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|
Not all test frameworks play well with filtering. Some advanced, synthetic tests may not be fully compatible. However, the vast majority of tests and use cases work perfectly well with Gradle’s filtering mechanism. |
The following two sections look at the specific cases of simple class/method names and fully-qualified names.
Simple name pattern
Since 4.7, Gradle has treated a pattern starting with an uppercase letter as a simple class name, or a class name + method name. For example, the following command lines run either all or exactly one of the tests in the SomeTestClass
test case, regardless of what package it’s in:
# Executes all tests in SomeTestClass
gradle test --tests SomeTestClass
# Executes a single specified test in SomeTestClass
gradle test --tests SomeTestClass.someSpecificMethod
gradle test --tests SomeTestClass.*someMethod*
Fully-qualified name pattern
Prior to 4.7 or if the pattern doesn’t start with an uppercase letter, Gradle treats the pattern as fully-qualified. So if you want to use the test class name irrespective of its package, you would use --tests *.SomeTestClass
. Here are some more examples:
# specific class
gradle test --tests org.gradle.SomeTestClass
# specific class and method
gradle test --tests org.gradle.SomeTestClass.someSpecificMethod
# method name containing spaces
gradle test --tests "org.gradle.SomeTestClass.some method containing spaces"
# all classes at specific package (recursively)
gradle test --tests 'all.in.specific.package*'
# specific method at specific package (recursively)
gradle test --tests 'all.in.specific.package*.someSpecificMethod'
gradle test --tests '*IntegTest'
gradle test --tests '*IntegTest*ui*'
gradle test --tests '*ParameterizedTest.foo*'
# the second iteration of a parameterized test
gradle test --tests '*ParameterizedTest.*[2]'
Note that the wildcard '*' has no special understanding of the '.' package separator. It’s purely text based. So --tests *.SomeTestClass
will match any package, regardless of its 'depth'.
You can also combine filters defined at the command line with continuous build to re-execute a subset of tests immediately after every change to a production or test source file. The following executes all tests in the 'com.mypackage.foo' package or subpackages whenever a change triggers the tests to run:
gradle test --continuous --tests "com.mypackage.foo.*"
Test reporting
The Test
task generates the following results by default:
-
An HTML test report
-
XML test results in a format compatible with the Ant JUnit report task — one that is supported by many other tools, such as CI servers
-
An efficient binary format of the results used by the
Test
task to generate the other formats
In most cases, you’ll work with the standard HTML report, which automatically includes the results from all your Test
tasks, even the ones you explicitly add to the build yourself. For example, if you add a Test
task for integration tests, the report will include the results of both the unit tests and the integration tests if both tasks are run.
Unlike with many of the testing configuration options, there are several project-level convention properties that affect the test reports. For example, you can change the destination of the test results and reports like so:
Groovy
Kotlin
reporting.baseDir = "my-reports"
testResultsDirName = "$buildDir/my-test-results"
task showDirs {
doLast {
logger.quiet(rootDir.toPath().relativize(project.reportsDir.toPath()).toString())
logger.quiet(rootDir.toPath().relativize(project.testResultsDir.toPath()).toString())
}
}
gradle -q showDirs
> gradle -q showDirs my-reports build/my-test-results
Follow the link to the convention properties for more details.
There is also a standalone TestReport task type that you can use to generate a custom HTML test report. All it requires are a value for destinationDir
and the test results you want included in the report. Here is a sample which generates a combined report for the unit tests from all subprojects:
Groovy
Kotlin
subprojects {
apply plugin: 'java'
// Disable the test report for the individual test task
test {
reports.html.enabled = false
}
}
task testReport(type: TestReport) {
destinationDir = file("$buildDir/reports/allTests")
// Include the results from the `test` task in all subprojects
reportOn subprojects*.test
}
You should note that the TestReport
type combines the results from multiple test tasks and needs to aggregate the results of individual test classes. This means that if a given test class is executed by multiple test tasks, then the test report will include executions of that class, but it can be hard to distinguish individual executions of that class and their output.
Test detection
By default, Gradle will run all tests that it detects, which it does by inspecting the compiled test classes. This detection uses different criteria depending on the test framework used.
For JUnit, Gradle scans for both JUnit 3 and 4 test classes. A class is considered to be a JUnit test if it:
-
Ultimately inherits from
TestCase
orGroovyTestCase
-
Is annotated with
@RunWith
-
Contains a method annotated with
@Test
or a super class does
For TestNG, Gradle scans for methods annotated with @Test
.
Note that abstract classes are not executed. In addition, be aware that Gradle scans up the inheritance tree into jar files on the test classpath. So if those JARs contain test classes, they will also be run.
If you don’t want to use test class detection, you can disable it by setting the scanForTestClasses
property on Test to false
. When you do that, the test task uses only the includes
and excludes
properties to find test classes.
If scanForTestClasses
is false and no include or exclude patterns are specified, Gradle defaults to running any class that matches the patterns **/*Tests.class
and **/*Test.class
, excluding those that match **/Abstract*.class
.
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With JUnit Platform, only |
Test grouping
JUnit, JUnit Platform and TestNG allow sophisticated groupings of test methods.
JUnit 4.8 introduced the concept of categories for grouping JUnit 4 tests classes and methods.[1] Test.useJUnit(org.gradle.api.Action) allows you to specify the JUnit categories you want to include and exclude. For example, the following configuration includes tests in CategoryA
and excludes those in CategoryB
for the test
task:
Groovy
Kotlin
test {
useJUnit {
includeCategories 'org.gradle.junit.CategoryA'
excludeCategories 'org.gradle.junit.CategoryB'
}
}
JUnit Platform introduced tagging to replace categories. You can specify the included/excluded tags via Test.useJUnitPlatform(org.gradle.api.Action), as follows:
Groovy
Kotlin
test {
useJUnitPlatform {
includeTags 'fast'
excludeTags 'slow'
}
}
The TestNG framework uses the concept of test groups for a similar effect.[2] You can configure which test groups to include or exclude during the test execution via the Test.useTestNG(org.gradle.api.Action) setting, as seen here:
Groovy
Kotlin
test {
useTestNG {
excludeGroups 'integrationTests'
includeGroups 'unitTests'
}
}
Using JUnit 5
JUnit 5 is the latest version of the well-known JUnit test framework. Unlike its predecessor, JUnit 5 is modularized and composed of several modules:
JUnit 5 = JUnit Platform + JUnit Jupiter + JUnit Vintage
The JUnit Platform serves as a foundation for launching testing frameworks on the JVM. JUnit Jupiter is the combination of the new programming model
and extension model for writing tests and extensions in JUnit 5. JUnit Vintage provides a TestEngine
for running JUnit 3 and JUnit 4 based tests on the platform.
The following code enables JUnit Platform support in build.gradle
:
Groovy
Kotlin
test {
useJUnitPlatform()
}
See Test.useJUnitPlatform() for more details.
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There are some known limitations of using JUnit 5 with Gradle, for example that tests in static nested classes won’t be discovered and classes are still displayed by their class name instead of |
Compiling and executing JUnit Jupiter tests
To enable JUnit Jupiter support in Gradle, all you need to do is add the following dependencies:
Groovy
Kotlin
dependencies {
testImplementation 'org.junit.jupiter:junit-jupiter-api:5.1.0'
testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.1.0'
}
You can then put your test cases into src/test/java as normal and execute them with gradle test
.
Executing legacy tests with JUnit Vintage
If you want to run JUnit 3/4 tests on JUnit Platform, or even mix them with Jupiter tests, you should add extra JUnit Vintage Engine dependencies:
Groovy
Kotlin
dependencies {
testImplementation 'org.junit.jupiter:junit-jupiter-api:5.1.0'
testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.1.0'
testCompileOnly 'junit:junit:4.12'
testRuntimeOnly 'org.junit.vintage:junit-vintage-engine:5.1.0'
}
In this way, you can use gradle test
to test JUnit 3/4 tests on JUnit Platform, without the need to rewrite them.
A sample of mixed tests can be found at samples/testing/junitplatform/mix
in the '-all' distribution of Gradle.
Filtering test engine
JUnit Platform allows you to use different test engines. JUnit currently provides two TestEngine
implementations out of the box:
junit-jupiter-engine and junit-vintage-engine.
You can also write and plug in your own TestEngine
implementation as documented here.
By default, all test engines on the test runtime classpath will be used. To control specific test engine implementations explicitly, you can add the following setting to your build script:
Groovy
Kotlin
test {
useJUnitPlatform {
includeEngines 'junit-vintage'
// excludeEngines 'junit-jupiter'
}
}
A test engine filtering sample can be found at samples/testing/junitplatform/engine
in the '-all' distribution of Gradle.
Test execution order in TestNG
TestNG allows explicit control of the execution order of tests when you use a testng.xml file. Without such a file — or an equivalent one configured by TestNGOptions.getSuiteXmlBuilder() — you can’t specify the test execution order. However, what you can do is control whether all aspects of a test — including its associated @BeforeXXX
and @AfterXXX
methods, such as those annotated with @Before/AfterClass
and @Before/AfterMethod
— are executed before the next test starts. You do this by setting the TestNGOptions.getPreserveOrder() property to true
. If you set it to false
, you may encounter scenarios in which the execution order is something like: TestA.doBeforeClass()
→ TestB.doBeforeClass()
→ TestA
tests.
While preserving the order of tests is the default behavior when directly working with testng.xml files, the TestNG API that is used by Gradle’s TestNG integration executes tests in unpredictable order by default.[3] The ability to preserve test execution order was introduced with TestNG version 5.14.5. Setting the preserveOrder
property to true
for an older TestNG version will cause the build to fail.
Groovy
Kotlin
test {
useTestNG {
preserveOrder true
}
}
The groupByInstance
property controls whether tests should be grouped by instance rather than by class. The TestNG documentation explains the difference in more detail, but essentially, if you have a test method A()
that depends on B()
, grouping by instance ensures that each A-B pairing, e.g. B(1)
-A(1)
, is executed before the next pairing. With group by class, all B()
methods are run and then all A()
ones.
Note that you typically only have more than one instance of a test if you’re using a data provider to parameterize it. Also, grouping tests by instances was introduced with TestNG version 6.1. Setting the groupByInstances
property to true
for an older TestNG version will cause the build to fail.
Groovy
Kotlin
test {
useTestNG {
groupByInstances = true
}
}
TestNG parameterized methods and reporting
TestNG supports parameterizing test methods, allowing a particular test method to be executed multiple times with different inputs. Gradle includes the parameter values in its reporting of the test method execution.
Given a parameterized test method named aTestMethod
that takes two parameters, it will be reported with the name aTestMethod(toStringValueOfParam1, toStringValueOfParam2)
. This makes it easy to identify the parameter values for a particular iteration.
Configuring integration tests
A common requirement for projects is to incorporate integration tests in one form or another. Their aim is to verify that the various parts of the project are working together properly. This often means that they require special execution setup and dependencies compared to unit tests.
The simplest way to add integration tests to your build is by taking these steps:
-
Create a new source set for them
-
Add the dependencies you need to the appropriate configurations for that source set
-
Configure the compilation and runtime classpaths for that source set
-
Create a task to run the integration tests
You may also need to perform some additional configuration depending on what form the integration tests take. We will discuss those as we go.
Let’s start with a practical example that implements the first three steps in a build script, centered around a new source set intTest
:
Groovy
Kotlin
sourceSets {
intTest {
compileClasspath += sourceSets.main.output
runtimeClasspath += sourceSets.main.output
}
}
configurations {
intTestImplementation.extendsFrom implementation
intTestRuntimeOnly.extendsFrom runtimeOnly
}
dependencies {
intTestImplementation 'junit:junit:4.12'
}
This will set up a new source set called intTest
that automatically creates:
-
intTestImplementation
,intTestCompileOnly
,intTestRuntimeOnly
configurations (and a few others that are less commonly needed) -
A
compileIntTestJava
task that will compile all the source files under src/intTest/java
The example also does the following, not all of which you may need for your specific integration tests:
-
Adds the production classes from the
main
source set to the compilation and runtime classpaths of the integration tests —sourceSets.main.output
is a file collection of all the directories containing compiled production classes and resources -
Makes the
intTestImplementation
configuration extend fromimplementation
, which means that all the declared dependencies of the production code also become dependencies of the integration tests -
Does the same for the
intTestRuntimeOnly
configuration
In most cases, you want your integration tests to have access to the classes under test, which is why we ensure that those are included on the compilation and runtime classpaths in this example. But some types of test interact with the production code in a different way. For example, you may have tests that run your application as an executable and verify the output. In the case of web applications, the tests may interact with your application via HTTP. Since the tests don’t need direct access to the classes under test in such cases, you don’t need to add the production classes to the test classpath.
Another common step is to attach all the unit test dependencies to the integration tests as well — via intTestImplementation.extendsFrom testImplementation
— but that only makes sense if the integration tests require all or nearly all the same dependencies that the unit tests have.
There are a couple of other facets of the example you should take note of:
-
+=
allows you to append paths and collections of paths tocompileClasspath
andruntimeClasspath
instead of overwriting them -
If you want to use the convention-based configurations, such as
intTestImplementation
, you must declare the dependencies after the new source set
Creating and configuring a source set automatically sets up the compilation stage, but it does nothing with respect to running the integration tests. So the last piece of the puzzle is a custom test task that uses the information from the new source set to configure its runtime classpath and the test classes:
Groovy
Kotlin
task integrationTest(type: Test) {
description = 'Runs integration tests.'
group = 'verification'
testClassesDirs = sourceSets.intTest.output.classesDirs
classpath = sourceSets.intTest.runtimeClasspath
shouldRunAfter test
}
check.dependsOn integrationTest
Again, we’re accessing a source set to get the relevant information, i.e. where the compiled test classes are — the testClassesDirs
property — and what needs to be on the classpath when running them — classpath
.
Users commonly want to run integration tests after the unit tests, because they are often slower to run and you want the build to fail early on the unit tests rather than later on the integration tests. That’s why the above example adds a shouldRunAfter()
declaration. This is preferred over mustRunAfter()
so that Gradle has more flexibility in executing the build in parallel.
Skipping the tests
If you want to skip the tests when running a build, you have a few options. You can either do it via command line arguments or in the build script. To do it on the command line, you can use the -x
or --exclude-task
option like so:
gradle build -x test
This excludes the test
task and any other task that it exclusively depends on, i.e. no other task depends on the same task. Those tasks will not be marked "SKIPPED" by Gradle, but will simply not appear in the list of tasks executed.
Skipping a test via the build script can be done a few ways. One common approach is to make test execution conditional via the Task.onlyIf(org.gradle.api.specs.Spec) method. The following sample skips the test
task if the project has a property called mySkipTests
:
Groovy
Kotlin
test.onlyIf { !project.hasProperty('mySkipTests') }
In this case, Gradle will mark the skipped tests as "SKIPPED" rather than exclude them from the build.
Forcing tests to run
In well-defined builds, you can rely on Gradle to only run tests if the tests themselves or the production code change. However, you may encounter situations where the tests rely on a third-party service or something else that might change but can’t be modeled in the build.
You can force tests to run in this situation by cleaning the output of the relevant Test
task — say test
— and running the tests again, like so:
gradle cleanTest test
cleanTest
is based on a task rule provided by the Base Plugin. You can use it for any task.
Debugging when running tests
On the few occasions that you want to debug your code while the tests are running, it can be helpful if you can attach a debugger at that point. You can either set the Test.getDebug() property to true
or use the --debug-jvm
command line option.
When debugging for tests is enabled, Gradle will start the test process suspended and listening on port 5005.
testng.xml
files: http://testng.org/doc/documentation-main.html#testng-xml.