Docker安装Hadoop

一、Docker安装Hadoop集群

Hadoop是一个分布式计算框架，可以分布式处理大量数据，因此安装Hadoop通常需要安装多个节点并进行集群化。使用Docker进行Hadoop集群安装可以方便快捷地完成这一过程。

以下是一个简单的Docker-compose文件，用于安装一个具有一个NameNode和两个DataNode的Hadoop集群。

version: '3'
services:
  namenode:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: namenode
    hostname: namenode
    domainname: hadoop
    ports:
      - "2222:22"
      - "50070:50070"
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=NAMENODE
  datanode1:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode1
    hostname: datanode1
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"
  datanode2:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode2
    hostname: datanode2
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"

以上配置文件中，定义了一个名为test的集群，包括一个NameNode（容器名为namenode），和两个DataNode（容器名为datanode1和datanode2）。每个容器都映射了必要的端口，并设置了环境变量和容器之间的链接关系。

二、Docker安装Hadoop Hive Spark

Hive是一个数据仓库，允许开发人员使用SQL查询分析大数据集，并将查询转化为MapReduce任务。Spark是一个快速、通用的大数据处理引擎，具有内存计算的优势。

以下是一个使用Docker-compose安装Hadoop、Hive、Spark环境的示例。

version: '3'
services:
  namenode:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: namenode
    hostname: namenode
    domainname: hadoop
    ports:
      - "2222:22"
      - "50070:50070"
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=NAMENODE
  datanode1:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode1
    hostname: datanode1
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"
  datanode2:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode2
    hostname: datanode2
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"
  hive:
    image: sequenceiq/hadoop-docker:2.6.0
    container_name: hive
    hostname: hive
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=HIVE
    links:
      - namenode
    ports:
      - "10000:10000"
  spark:
    image: sequenceiq/spark:1.6.0
    container_name: spark
    hostname: spark
    environment:
      - ENABLE_INIT_DAEMON=false
      - INIT_DAEMON_BASE_URI=http://init-daemon:8080
      - SPARK_MASTER_URL=spark://spark:7077
      - SPARK_DRIVER_MEMORY=1g
      - SPARK_EXECUTOR_MEMORY=1g
      - SPARK_EXECUTOR_CORES=1

  init-daemon:
    image: sequenceiq/init
    container_name: init-daemon

三、Docker安装Hadoop单机

如果您只需要在单个容器中运行Hadoop，则可以使用以下Dockerfile创建镜像：

FROM sequenceiq/hadoop-docker:2.7.1

MAINTAINER Your Name "your.name@example.com"

ADD core-site.xml /etc/hadoop/core-site.xml
ADD hdfs-site.xml /etc/hadoop/hdfs-site.xml
ADD yarn-site.xml /etc/hadoop/yarn-site.xml
ADD mapred-site.xml /etc/hadoop/mapred-site.xml

RUN mkdir -p /opt/hadoop/logs \
    && chown -R hdfs /opt/hadoop/logs \
    && chmod -R 755 /opt/hadoop/logs

以上Dockerfile做了以下操作：

• 继承Hadoop镜像
• 添加必要的核心配置文件
• 建立/opt/hadoop/logs目录，并确保hdfs用户可以访问该目录。

四、Docker安装Hadoop命令

如果您只需要在多个容器中运行Hadoop命令，则可以使用以下Dockerfile创建镜像：

FROM sequenceiq/hadoop-docker:2.7.1

MAINTAINER Your Name "your.name@example.com"

ADD start-hadoop.sh /start-hadoop.sh

CMD ["/bin/bash", "/start-hadoop.sh"]

以上Dockerfile做了以下操作：

• 继承Hadoop镜像
• 添加一个名为start-hadoop.sh的脚本
• 在容器启动时运行start-hadoop.sh。

五、Docker安装Hadoop Hive

以下是使用Docker-compose安装Hadoop Hive的示例。

version: '3'
services:
  namenode:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: namenode
    hostname: namenode
    domainname: hadoop
    ports:
      - "2222:22"
      - "50070:50070"
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=NAMENODE
  datanode1:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode1
    hostname: datanode1
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"
  datanode2:
    image: sequenceiq/hadoop-docker:2.7.1
    container_name: datanode2
    hostname: datanode2
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=DATANODE
    links:
      - namenode
    ports:
      - "50075"
  hive:
    image: sequenceiq/hadoop-docker:2.6.0
    container_name: hive
    hostname: hive
    domainname: hadoop
    environment:
      - CLUSTER_NAME=test
      - NODE_TYPE=HIVE
    links:
      - namenode
    ports:
      - "10000:10000"

六、Docker安装Hadoop3.1.3

以下是使用Docker-compose安装Hadoop-3.1.3的示例。

version: "3"
services:
  namenode:
    image: bde2020/hadoop-namenode:1.1.0-hadoop3.1.3-java8
    restart: always
    container_name: namenode
    hostname: namenode
    environment:
      - CLUSTER_NAME=test
    ports:
      - "9870:9870"
      - "9000:9000"
      - "9820:9820"
  datanode:
    image: bde2020/hadoop-datanode:1.1.0-hadoop3.1.3-java8
    restart: always
    container_name: datanode
    hostname: datanode
    environment:
      - CLUSTER_NAME=test
    links:
      - namenode
    ports:
      - "9864:9864"
      - "9866:9866" 

七、Docker安装HomeAssistant

以下是一个简单的Docker-compose文件，用于安装HomeAssistant。

version: '3'
services:
  homeassistant:
    image: homeassistant/raspberrypi3-homeassistant:0.101.3
    container_name: homeassistant
    ports:
      - "8123:8123"
    volumes:
      - ./config:/config 

八、Docker安装MySQL

以下是使用Docker-compose安装MySQL的示例。

version: '3'
services:
  db:
    image: mysql
    container_name: mysql
    ports:
      - "3306:3306"
    environment:
      MYSQL_ROOT_PASSWORD: example
      MYSQL_DATABASE: example_database
    volumes:
      - ./data:/var/lib/mysql

九、Docker搭建Hadoop集群

以下是使用Docker-compose搭建Hadoop集群的示例（3个NodeManager，1个ResourceManager，1个NameNode和一个DataNode）。

version: '3'
services:
  node-manager-1:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=NODEMANAGER
      - "SERVICE_PRECONDITION=node-master:8040"
    hostname: node-manager-1
    container_name: node-manager-1
  node-manager-2:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=NODEMANAGER
      - "SERVICE_PRECONDITION=node-master:8040"
    hostname: node-manager-2
    container_name: node-manager-2
  node-manager-3:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=NODEMANAGER
      - "SERVICE_PRECONDITION=node-master:8040"
    hostname: node-manager-3
    container_name: node-manager-3
  resource-manager:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=RESOURCEMANAGER
    hostname: resource-manager
    container_name: resource-manager
  name-node:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=NAMENODE
      - "YARN_NODEMANAGER_CONTAINER_EXECUTOR_EXECUTION_THREAD_SLEEP_MS=5000"
      - "HDFS_REPLICATION=1"
    hostname: name-node
    container_name: name-node
  data-node:
    image: sequenceiq/hadoop-docker:2.7.1
    environment:
      - NODE_TYPE=DATANODE
      - "SERVICE_PRECONDITION=name-node:8020"
    hostname: data-node
    container_name: data-node
    links:
      - name-node