Apache Flink docker images to:
- Setup a standalone Apache Flink cluster running one Flink Master and multiple Flink workers
- Build Flink applications in Scala, Java or Python to run on a Flink cluster
Currently supported versions:
- Flink 1.2.0 for Hadoop 2.7 and Scala 2.11
- Flink 1.1.4 for Hadoop 2.7 and Scala 2.11
- Flink 1.1.3 for Hadoop 2.7 and Scala 2.11
- Flink 0.10.2 for Hadoop 2.7 and Scala 2.11
- Flink 0.10.1 for Hadoop 2.7 and Scala 2.11
Add the following services to your docker-compose.yml
to integrate a Flink master and Flink worker in your BDE pipeline:
flink-master:
image: bde2020/flink-master
hostname: flink-master
container_name: flink-master
domainname: hadoop
networks:
- hadoop
environment:
- INIT_DAEMON_STEP=setup_flink
ports:
- "8080:8080"
- "8081:8081"
flink-worker:
image: bde2020/flink-worker
hostname: flink-worker
container_name: flink-worker
domainname: hadoop
networks:
- hadoop
environment:
- FLINK_MASTER_PORT_6123_TCP_ADDR=flink-master
To start a Flink master:
docker run --name flink-master -h flink-master -e ENABLE_INIT_DAEMON=false -d bde2020/flink-master:latest
To start a Flink worker:
docker run --name flink-worker --link flink-master:flink-master -e ENABLE_INIT_DAEMON=false -d bde2020/flink-worker:latest
Building and running your Flink application on top of the Flink cluster is as simple as extending a template Docker image. Check the template's README for further documentation.