How to setup Apache Spark and Zeppelin on Docker - docker

Question

I'm trying to setup a Spark development environment with Zeppelin on Docker, but I'm having trouble connecting the Zeppelin and Spark containers.
I'm deploying a Docker Stack, with the current docker-compose
version: '3'
services:
spark-master:
image: gettyimages/spark
command: bin/spark-class org.apache.spark.deploy.master.Master -h spark-master
hostname: spark-master
environment:
SPARK_CONF_DIR: /conf
SPARK_PUBLIC_DNS: 10.129.34.90
volumes:
- spark-master-volume:/conf
- spark-master-volume:/tmp/data
ports:
- 8000:8080
spark-worker:
image: gettyimages/spark
command: bin/spark-class org.apache.spark.deploy.worker.Worker spark://spark-master:7077
hostname: spark-worker
environment:
SPARK_MASTER_URL: spark-master:7077
SPARK_CONF_DIR: /conf
SPARK_PUBLIC_DNS: 10.129.34.90
SPARK_WORKER_CORES: 2
SPARK_WORKER_MEMORY: 2g
volumes:
- spark-worker-volume:/conf
- spark-worker-volume:/tmp/data
ports:
- "8081-8100:8081-8100"
zeppelin:
image: apache/zeppelin:0.8.0
ports:
- 8080:8080
- 8443:8443
volumes:
- spark-master-volume:/opt/zeppelin/logs
- spark-master-volume:/opt/zeppelin/notebookcd
environment:
MASTER: "spark://spark-master:7077"
SPARK_MASTER: "spark://spark-master:7077"
SPARK_HOME: /usr/spark-2.4.1
depends_on:
- spark-master
volumes:
spark-master-volume:
driver: local
spark-worker-volume:
driver: local
It builds normally, but when I try to run Spark on Zeppelin, it throws me:
java.lang.RuntimeException: /zeppelin/bin/interpreter.sh: line 231: /usr/spark-2.4.1/bin/spark-submit: No such file or directory
I think the problem is in the volumes, but I can't get how to do it right.

Answer 1

You need to install spark on your zeppelin docker instance to use spark-submit and update the spark interpreter config to point it to your spark cluster
zeppelin_notebook_server:
container_name: zeppelin_notebook_server
build:
context: zeppelin/
restart: unless-stopped
volumes:
- ./zeppelin/config/interpreter.json:/zeppelin/conf/interpreter.json:rw
- ./zeppelin/notebooks:/zeppelin/notebook
- ../sample-data:/sample-data:ro
ports:
- "8085:8080"
networks:
- general
labels:
container_group: "notebook"
spark_base:
container_name: spark-base
build:
context: spark/base
image: spark-base:latest
spark_master:
container_name: spark-master
build:
context: spark/master/
networks:
- general
hostname: spark-master
ports:
- "3030:8080"
- "7077:7077"
environment:
- "SPARK_LOCAL_IP=spark-master"
depends_on:
- spark_base
volumes:
- ./spark/apps/jars:/opt/spark-apps
- ./spark/apps/data:/opt/spark-data
- ../sample-data:/sample-data:ro
spark_worker_1:
container_name: spark-worker-1
build:
context: spark/worker/
networks:
- general
hostname: spark-worker-1
ports:
- "3031:8081"
env_file: spark/spark-worker-env.sh
environment:
- "SPARK_LOCAL_IP=spark-worker-1"
depends_on:
- spark_master
volumes:
- ./spark/apps/jars:/opt/spark-apps
- ./spark/apps/data:/opt/spark-data
- ../sample-data:/sample-data:ro
spark_worker_2:
container_name: spark-worker-2
build:
context: spark/worker/
networks:
- general
hostname: spark-worker-2
ports:
- "3032:8082"
env_file: spark/spark-worker-env.sh
environment:
- "SPARK_LOCAL_IP=spark-worker-2"
depends_on:
- spark_master
volumes:
- ./spark/apps/jars:/opt/spark-apps
- ./spark/apps/data:/opt/spark-data
- ../sample-data:/sample-data:ro
Zeppelin docker file:
FROM "apache/zeppelin:0.8.1"
RUN wget http://apache.mirror.iphh.net/spark/spark-2.4.3/spark-2.4.3-bin-hadoop2.7.tgz --progress=bar:force && \
tar xvf spark-2.4.3-bin-hadoop2.7.tgz && \
mkdir -p /usr/local/spark && \
mv spark-2.4.3-bin-hadoop2.7/* /usr/local/spark/. && \
mkdir -p /sample-data
ENV SPARK_HOME "/usr/local/spark/"
Make sure your zeppelin spark interpreter config is same as:

Answer 2

Build a Dockerfile with content
FROM gettyimages/spark
ENV APACHE_SPARK_VERSION 2.4.1
ENV APACHE_HADOOP_VERSION 2.8.0
ENV ZEPPELIN_VERSION 0.8.1
RUN apt-get update
RUN set -x \
&& curl -fSL "http://www-eu.apache.org/dist/zeppelin/zeppelin-0.8.1/zeppelin-0.8.1-bin-all.tgz" -o /tmp/zeppelin.tgz \
&& tar -xzvf /tmp/zeppelin.tgz -C /opt/ \
&& mv /opt/zeppelin-* /opt/zeppelin \
&& rm /tmp/zeppelin.tgz
ENV SPARK_SUBMIT_OPTIONS "--jars /opt/zeppelin/sansa-examples-spark-2016-12.jar"
ENV SPARK_HOME "/usr/spark-2.4.1/"
WORKDIR /opt/zeppelin
CMD ["/opt/zeppelin/bin/zeppelin.sh"]
and then define your service within your docker-compose.yml file with prefix
version: '3'
services:
zeppelin:
build: ./zeppelin
image: zeppelin:0.8.1-hadoop-2.8.0-spark-2.4.1
...
Finally, use docker-compose -f docker-compose.yml build to build the customised image before docker stack deploy