{"id":13588003,"url":"https://github.com/big-data-europe/docker-spark","last_synced_at":"2025-05-15T06:06:30.951Z","repository":{"id":40693787,"uuid":"43886361","full_name":"big-data-europe/docker-spark","owner":"big-data-europe","description":"Apache Spark docker image 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chat](https://badges.gitter.im/gitterHQ/gitter.png)](https://gitter.im/big-data-europe/Lobby)\n[![Build Status](https://travis-ci.org/big-data-europe/docker-spark.svg?branch=master)](https://travis-ci.org/big-data-europe/docker-spark)\n[![Twitter](https://img.shields.io/twitter/follow/BigData_Europe.svg?style=social)](https://twitter.com/BigData_Europe)\n# Spark docker\n\nDocker images to:\n* Setup a standalone [Apache Spark](https://spark.apache.org/) cluster running one Spark Master and multiple Spark workers\n* Build Spark applications in Java, Scala or Python to run on a Spark cluster\n\n\u003cdetails open\u003e\n\u003csummary\u003eCurrently supported versions:\u003c/summary\u003e\n\n* Spark 3.3.0 for Hadoop 3.3 with OpenJDK 8 and Scala 2.12\n* Spark 3.2.1 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.2.0 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.1.2 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.1.1 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.1.1 for Hadoop 3.2 with OpenJDK 11 and Scala 2.12\n* Spark 3.0.2 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.0.1 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 3.0.0 for Hadoop 3.2 with OpenJDK 11 and Scala 2.12\n* Spark 3.0.0 for Hadoop 3.2 with OpenJDK 8 and Scala 2.12\n* Spark 2.4.5 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.4.4 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.4.3 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.4.1 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.4.0 for Hadoop 2.8 with OpenJDK 8 and Scala 2.12\n* Spark 2.4.0 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.3.2 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.3.1 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.3.1 for Hadoop 2.8 with OpenJDK 8\n* Spark 2.3.0 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.2.2 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.2.1 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.2.0 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.1.3 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.1.2 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.1.1 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.1.0 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.0.2 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.0.1 for Hadoop 2.7+ with OpenJDK 8\n* Spark 2.0.0 for Hadoop 2.7+ with Hive support and OpenJDK 8\n* Spark 2.0.0 for Hadoop 2.7+ with Hive support and OpenJDK 7\n* Spark 1.6.2 for Hadoop 2.6 and later\n* Spark 1.5.1 for Hadoop 2.6 and later\n\n\u003c/details\u003e\n\n## Using Docker Compose\n\nAdd the following services to your `docker-compose.yml` to integrate a Spark master and Spark worker in [your BDE pipeline](https://github.com/big-data-europe/app-bde-pipeline):\n```yml\nversion: '3'\nservices:\n  spark-master:\n    image: bde2020/spark-master:3.3.0-hadoop3.3\n    container_name: spark-master\n    ports:\n      - \"8080:8080\"\n      - \"7077:7077\"\n    environment:\n      - INIT_DAEMON_STEP=setup_spark\n  spark-worker-1:\n    image: bde2020/spark-worker:3.3.0-hadoop3.3\n    container_name: spark-worker-1\n    depends_on:\n      - spark-master\n    ports:\n      - \"8081:8081\"\n    environment:\n      - \"SPARK_MASTER=spark://spark-master:7077\"\n  spark-worker-2:\n    image: bde2020/spark-worker:3.3.0-hadoop3.3\n    container_name: spark-worker-2\n    depends_on:\n      - spark-master\n    ports:\n      - \"8082:8081\"\n    environment:\n      - \"SPARK_MASTER=spark://spark-master:7077\"\n  spark-history-server:\n      image: bde2020/spark-history-server:3.3.0-hadoop3.3\n      container_name: spark-history-server\n      depends_on:\n        - spark-master\n      ports:\n        - \"18081:18081\"\n      volumes:\n        - /tmp/spark-events-local:/tmp/spark-events\n```\nMake sure to fill in the `INIT_DAEMON_STEP` as configured in your pipeline.\n\n## Running Docker containers without the init daemon\n### Spark Master\nTo start a Spark master:\n\n    docker run --name spark-master -h spark-master -d bde2020/spark-master:3.3.0-hadoop3.3\n\n### Spark Worker\nTo start a Spark worker:\n\n    docker run --name spark-worker-1 --link spark-master:spark-master -d bde2020/spark-worker:3.3.0-hadoop3.3\n\n## Launch a Spark application\nBuilding and running your Spark application on top of the Spark cluster is as simple as extending a template Docker image. Check the template's README for further documentation.\n* [Maven template](template/maven)\n* [Python template](template/python)\n* [Sbt template](template/sbt)\n\n## Kubernetes deployment\nThe BDE Spark images can also be used in a Kubernetes enviroment.\n\nTo deploy a simple Spark standalone cluster issue\n\n`kubectl apply -f https://raw.githubusercontent.com/big-data-europe/docker-spark/master/k8s-spark-cluster.yaml`\n\nThis will setup a Spark standalone cluster with one master and a worker on every available node using the default namespace and resources. The master is reachable in the same namespace at `spark://spark-master:7077`.\nIt will also setup a headless service so spark clients can be reachable from the workers using hostname `spark-client`.\n\nThen to use `spark-shell` issue\n\n`kubectl run spark-base --rm -it --labels=\"app=spark-client\" --image bde2020/spark-base:3.3.0-hadoop3.3 -- bash ./spark/bin/spark-shell --master spark://spark-master:7077 --conf spark.driver.host=spark-client`\n\nTo use `spark-submit` issue for example\n\n`kubectl run spark-base --rm -it --labels=\"app=spark-client\" --image bde2020/spark-base:3.3.0-hadoop3.3 -- bash ./spark/bin/spark-submit --class CLASS_TO_RUN --master spark://spark-master:7077 --deploy-mode client --conf spark.driver.host=spark-client URL_TO_YOUR_APP`\n\nYou can use your own image packed with Spark and your application but when deployed it must be reachable from the workers.\nOne way to achieve this is by creating a headless service for your pod and then use `--conf spark.driver.host=YOUR_HEADLESS_SERVICE` whenever you submit your application.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbig-data-europe%2Fdocker-spark","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbig-data-europe%2Fdocker-spark","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbig-data-europe%2Fdocker-spark/lists"}