Apache Kafka

See our web site for details on the project.

You need to have Java installed.

We build and test Apache Kafka with 11, 17 and 21. We set the release parameter in javac and scalac to 11 to ensure the generated binaries are compatible with Java 11 or higher (independently of the Java version used for compilation). Java 11 support for the broker and tools has been deprecated since Apache Kafka 3.7 and removal of both is planned for Apache Kafka 4.0.(KIP-1013 for more details).

Scala 2.13 is the only supported version in Apache Kafka.

Build a jar and run it

./gradlew jar

Follow instructions in https://kafka.apache.org/quickstart

Build source jar

./gradlew srcJar

Build aggregated javadoc

./gradlew aggregatedJavadoc

Build javadoc and scaladoc

./gradlew javadoc
./gradlew javadocJar # builds a javadoc jar for each module
./gradlew scaladoc
./gradlew scaladocJar # builds a scaladoc jar for each module
./gradlew docsJar # builds both (if applicable) javadoc and scaladoc jars for each module

Run unit/integration tests

./gradlew test  # runs both unit and integration tests
./gradlew unitTest
./gradlew integrationTest
./gradlew quarantinedTest  # runs the quarantined tests

Force re-running tests without code change

./gradlew test --rerun-tasks
./gradlew unitTest --rerun-tasks
./gradlew integrationTest --rerun-tasks

Running a particular unit/integration test

./gradlew clients:test --tests RequestResponseTest

Repeatedly running a particular unit/integration test with specific times by setting N

N=500; I=0; while [ $I -lt $N ] && ./gradlew clients:test --tests RequestResponseTest --rerun --fail-fast; do (( I=$I+1 )); echo "Completed run: $I"; sleep 1; done

Running a particular test method within a unit/integration test

./gradlew core:test --tests kafka.api.ProducerFailureHandlingTest.testCannotSendToInternalTopic
./gradlew clients:test --tests org.apache.kafka.clients.MetadataTest.testTimeToNextUpdate

Running a particular unit/integration test with log4j output

By default, there will be only small number of logs output while testing. You can adjust it by changing the log4j.properties file in the module's src/test/resources directory.

For example, if you want to see more logs for clients project tests, you can modify the line in clients/src/test/resources/log4j.properties to log4j.logger.org.apache.kafka=INFO and then run:

./gradlew cleanTest clients:test --tests NetworkClientTest   

And you should see INFO level logs in the file under the clients/build/test-results/test directory.

Specifying test retries

Retries are disabled by default, but you can set maxTestRetryFailures and maxTestRetries to enable retries.

The following example declares -PmaxTestRetries=1 and -PmaxTestRetryFailures=3 to enable a failed test to be retried once, with a total retry limit of 3.

./gradlew test -PmaxTestRetries=1 -PmaxTestRetryFailures=3

The quarantinedTest task also has no retries by default, but you can set maxQuarantineTestRetries and maxQuarantineTestRetryFailures to enable retries, similar to the test task.

./gradlew quarantinedTest -PmaxQuarantineTestRetries=3 -PmaxQuarantineTestRetryFailures=20

See Test Retry Gradle Plugin for and build.yml more details.

Generating test coverage reports

Generate coverage reports for the whole project:

./gradlew reportCoverage -PenableTestCoverage=true -Dorg.gradle.parallel=false

Generate coverage for a single module, i.e.:

./gradlew clients:reportCoverage -PenableTestCoverage=true -Dorg.gradle.parallel=false

Building a binary release gzipped tar ball

./gradlew clean releaseTarGz

The release file can be found inside ./core/build/distributions/.

Building auto generated messages

Sometimes it is only necessary to rebuild the RPC auto-generated message data when switching between branches, as they could fail due to code changes. You can just run:

./gradlew processMessages processTestMessages

Running a Kafka broker in KRaft mode

Using compiled files:

KAFKA_CLUSTER_ID="$(./bin/kafka-storage.sh random-uuid)"
./bin/kafka-storage.sh format -t $KAFKA_CLUSTER_ID -c config/kraft/reconfig-server.properties
./bin/kafka-server-start.sh config/kraft/reconfig-server.properties

Using docker image:

docker run -p 9092:9092 apache/kafka:3.7.0

Cleaning the build

./gradlew clean

Running a task for a specific project

This is for core, examples and clients

./gradlew core:jar
./gradlew core:test

Streams has multiple sub-projects, but you can run all the tests:

./gradlew :streams:testAll

Listing all gradle tasks

./gradlew tasks

Building IDE project

Note that this is not strictly necessary (IntelliJ IDEA has good built-in support for Gradle projects, for example).

./gradlew eclipse
./gradlew idea

The eclipse task has been configured to use ${project_dir}/build_eclipse as Eclipse's build directory. Eclipse's default build directory (${project_dir}/bin) clashes with Kafka's scripts directory and we don't use Gradle's build directory to avoid known issues with this configuration.

Publishing the streams quickstart archetype artifact to maven

For the Streams archetype project, one cannot use gradle to upload to maven; instead the mvn deploy command needs to be called at the quickstart folder:

cd streams/quickstart
mvn deploy

Please note for this to work you should create/update user maven settings (typically, ${USER_HOME}/.m2/settings.xml) to assign the following variables

<settings xmlns="http://maven.apache.org/SETTINGS/1.0.0"
   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
   xsi:schemaLocation="http://maven.apache.org/SETTINGS/1.0.0
                       https://maven.apache.org/xsd/settings-1.0.0.xsd">
...                           
<servers>
   ...
   <server>
      <id>apache.snapshots.https</id>
      <username>${maven_username}</username>
      <password>${maven_password}</password>
   </server>
   <server>
      <id>apache.releases.https</id>
      <username>${maven_username}</username>
      <password>${maven_password}</password>
    </server>
    ...
 </servers>
 ...

Installing specific projects to the local Maven repository

./gradlew -PskipSigning=true :streams:publishToMavenLocal

Building the test jar

./gradlew testJar

Running code quality checks

There are two code quality analysis tools that we regularly run, spotbugs and checkstyle.

Checkstyle

Checkstyle enforces a consistent coding style in Kafka. You can run checkstyle using:

./gradlew checkstyleMain checkstyleTest spotlessCheck

The checkstyle warnings will be found in reports/checkstyle/reports/main.html and reports/checkstyle/reports/test.html files in the subproject build directories. They are also printed to the console. The build will fail if Checkstyle fails.

Spotless

The import order is a part of static check. please call spotlessApply to optimize the imports of Java codes before filing pull request.

./gradlew spotlessApply

Spotbugs

Spotbugs uses static analysis to look for bugs in the code. You can run spotbugs using:

./gradlew spotbugsMain spotbugsTest -x test

The spotbugs warnings will be found in reports/spotbugs/main.html and reports/spotbugs/test.html files in the subproject build directories. Use -PxmlSpotBugsReport=true to generate an XML report instead of an HTML one.

JMH microbenchmarks

We use JMH to write microbenchmarks that produce reliable results in the JVM.

See jmh-benchmarks/README.md for details on how to run the microbenchmarks.

Dependency Analysis

The gradle dependency debugging documentation mentions using the dependencies or dependencyInsight tasks to debug dependencies for the root project or individual subprojects.

Alternatively, use the allDeps or allDepInsight tasks for recursively iterating through all subprojects:

./gradlew allDeps

./gradlew allDepInsight --configuration runtimeClasspath --dependency com.fasterxml.jackson.core:jackson-databind

These take the same arguments as the builtin variants.

Determining if any dependencies could be updated

./gradlew dependencyUpdates

Common build options

The following options should be set with a -P switch, for example ./gradlew -PmaxParallelForks=1 test.

• commitId: sets the build commit ID as .git/HEAD might not be correct if there are local commits added for build purposes.
• mavenUrl: sets the URL of the maven deployment repository (file://path/to/repo can be used to point to a local repository).
• maxParallelForks: maximum number of test processes to start in parallel. Defaults to the number of processors available to the JVM.
• maxScalacThreads: maximum number of worker threads for the scalac backend. Defaults to the lowest of 8 and the number of processors available to the JVM. The value must be between 1 and 16 (inclusive).
• ignoreFailures: ignore test failures from junit
• showStandardStreams: shows standard out and standard error of the test JVM(s) on the console.
• skipSigning: skips signing of artifacts.
• testLoggingEvents: unit test events to be logged, separated by comma. For example ./gradlew -PtestLoggingEvents=started,passed,skipped,failed test.
• xmlSpotBugsReport: enable XML reports for spotBugs. This also disables HTML reports as only one can be enabled at a time.
• maxTestRetries: maximum number of retries for a failing test case.
• maxTestRetryFailures: maximum number of test failures before retrying is disabled for subsequent tests.
• enableTestCoverage: enables test coverage plugins and tasks, including bytecode enhancement of classes required to track said coverage. Note that this introduces some overhead when running tests and hence why it's disabled by default (the overhead varies, but 15-20% is a reasonable estimate).
• keepAliveMode: configures the keep alive mode for the Gradle compilation daemon - reuse improves start-up time. The values should be one of daemon or session (the default is daemon). daemon keeps the daemon alive until it's explicitly stopped while session keeps it alive until the end of the build session. This currently only affects the Scala compiler, see gradle/gradle#21034 for a PR that attempts to do the same for the Java compiler.
• scalaOptimizerMode: configures the optimizing behavior of the scala compiler, the value should be one of none, method, inline-kafka or inline-scala (the default is inline-kafka). none is the scala compiler default, which only eliminates unreachable code. method also includes method-local optimizations. inline-kafka adds inlining of methods within the kafka packages. Finally, inline-scala also includes inlining of methods within the scala library (which avoids lambda allocations for methods like Option.exists). inline-scala is only safe if the Scala library version is the same at compile time and runtime. Since we cannot guarantee this for all cases (for example, users may depend on the kafka jar for integration tests where they may include a scala library with a different version), we don't enable it by default. See https://www.lightbend.com/blog/scala-inliner-optimizer for more details.

Running system tests

See tests/README.md.

Running in Vagrant

See vagrant/README.md.

Contribution

Apache Kafka is interested in building the community; we would welcome any thoughts or patches. You can reach us on the Apache mailing lists.

To contribute follow the instructions here:

• https://kafka.apache.org/contributing.html