This page covers how to build Flink 1.4-SNAPSHOT from sources.
In addition you need Maven 3 and a JDK (Java Development Kit). Flink requires at least Java 7 to build. We recommend using Java 8.
NOTE: Maven 3.3.x can build Flink, but will not properly shade away certain dependencies. Maven 3.0.3 creates the libraries properly. To build unit tests with Java 8, use Java 8u51 or above to prevent failures in unit tests that use the PowerMock runner.
To clone from git, enter:
git clone https://github.com/apache/flink
The simplest way of building Flink is by running:
mvn clean install -DskipTests
This instructs Maven (
mvn) to first remove all existing builds (
clean) and then create a new Flink binary (
-DskipTests command prevents Maven from executing the tests.
The default build includes the YARN Client for Hadoop 2.
Flink shades away some of the libraries it uses, in order to avoid version clashes with user programs that use different versions of these libraries. Among the shaded libraries are Google Guava, Asm, Apache Curator, Apache HTTP Components, and others.
The dependency shading mechanism was recently changed in Maven and requires users to build Flink slightly differently, depending on their Maven version:
Maven 3.0.x, 3.1.x, and 3.2.x
It is sufficient to call
mvn clean install -DskipTests in the root directory of Flink code base.
Maven 3.3.x The build has to be done in two steps: First in the base directory, then in the distribution project:
mvn clean install -DskipTests cd flink-dist mvn clean install
Note: To check your Maven version, run
Info Most users do not need to do this manually. The download page contains binary packages for common Hadoop versions.
Flink has dependencies to HDFS and YARN which are both dependencies from Apache Hadoop. There exist many different versions of Hadoop (from both the upstream project and the different Hadoop distributions). If you are using a wrong combination of versions, exceptions can occur.
Hadoop is only supported from version 2.3.0 upwards. You can also specify a specific Hadoop version to build against:
mvn clean install -DskipTests -Dhadoop.version=2.6.1
Hadoop 2.x versions are only supported with YARN features from version 2.3.0 upwards. If you want to use a version lower than 2.3.0, you can exclude the YARN support using the following extra build arguments:
For example, if you want to build Flink for Hadoop
2.2.0, use the following command:
mvn clean install -Dhadoop.version=2.2.0 -P!include-yarn
To build Flink against a vendor specific Hadoop version, issue the following command:
mvn clean install -DskipTests -Pvendor-repos -Dhadoop.version=2.6.1-cdh5.0.0
-Pvendor-repos activates a Maven build profile that includes the repositories of popular Hadoop vendors such as Cloudera, Hortonworks, or MapR.
Info Users that purely use the Java APIs and libraries can ignore this section.
Flink has APIs, libraries, and runtime modules written in Scala. Users of the Scala API and libraries may have to match the Scala version of Flink with the Scala version of their projects (because Scala is not strictly backwards compatible).
By default, Flink is built with the Scala 2.10. To build Flink with Scala 2.11, you can change the default Scala binary version with the following script:
# Switch Scala binary version between 2.10 and 2.11 tools/change-scala-version.sh 2.11 # Build with Scala version 2.11 mvn clean install -DskipTests
To build against custom Scala versions, you need to switch to the appropriate binary version and supply the language version as an additional build property. For example, to build against Scala 2.11.4, you have to execute:
# Switch Scala binary version to 2.11 tools/change-scala-version.sh 2.11 # Build with custom Scala version 2.11.4 mvn clean install -DskipTests -Dscala.version=2.11.4
Flink is developed against Scala 2.10 and tested additionally against Scala 2.11. These two versions are known to be compatible. Earlier versions (like Scala 2.9) are not compatible.
Newer versions may be compatible, depending on breaking changes in the language features used by Flink, and the availability of Flink’s dependencies in those Scala versions. The dependencies written in Scala include for example Kafka, Akka, Scalatest, and scopt.
If your home directory is encrypted you might encounter a
java.io.IOException: File name too long exception. Some encrypted file systems, like encfs used by Ubuntu, do not allow long filenames, which is the cause of this error.
The workaround is to add:
<args> <arg>-Xmax-classfile-name</arg> <arg>128</arg> </args>
in the compiler configuration of the
pom.xml file of the module causing the error. For example, if the error appears in the
flink-yarn module, the above code should be added under the
<configuration> tag of
scala-maven-plugin. See this issue for more information.