如何在Docker上设置Apache Spark和Zeppelin
如何在Docker上设置Apache Spark和Zeppelin
提问于 2019-08-24 22:26:26
我正在尝试在Docker上使用Zeppelin设置Spark开发环境，但我在连接Zeppelin和Spark容器时遇到了问题。
我正在使用当前的docker-compose部署Docker Stack
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它正常构建，但当我尝试在Zeppelin上运行Spark时，它抛出了我：
java.lang.RuntimeException: /zeppelin/bin/interpreter.sh: line 231: /usr/spark-2.4.1/bin/spark-submit: No such file or directory
我认为问题出在卷上，但我不知道怎么做才对。
回答 2
Stack Overflow用户
发布于 2019-08-25 23:00:47
您需要在您的zeppelin docker实例上安装spark以使用spark-submit，并更新spark解释器配置以将其指向您的spark集群
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:roZeppelin docker文件：
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/"确保您的zeppelin spark解释器配置与以下内容相同：
Stack Overflow用户
发布于 2020-04-22 22:26:41
使用内容构建Dockerfile
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"]然后在带有前缀的docker-compose.yml文件中定义您的服务
version: '3'
services:
zeppelin:
build: ./zeppelin
image: zeppelin:0.8.1-hadoop-2.8.0-spark-2.4.1
...最后，在docker stack deploy之前使用docker-compose -f docker-compose.yml build构建定制镜像
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/57638836
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