Docker安裝Hadoop

一、Docker安裝Hadoop集群

Hadoop是一個分布式計算框架，可以分布式處理大量數據，因此安裝Hadoop通常需要安裝多個節點並進行集群化。使用Docker進行Hadoop集群安裝可以方便快捷地完成這一過程。

以下是一個簡單的Docker-compose文件，用於安裝一個具有一個NameNode和兩個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，定義了一個名為test的集群，包括一個NameNode（容器名為namenode），和兩個DataNode（容器名為datanode1和datanode2）。每個容器都映射了必要的端口，並設置了環境變量和容器之間的鏈接關係。

二、Docker安裝Hadoop Hive Spark

Hive是一個數據倉庫，允許開發人員使用SQL查詢分析大數據集，並將查詢轉化為MapReduce任務。Spark是一個快速、通用的大數據處理引擎，具有內存計算的優勢。

以下是一個使用Docker-compose安裝Hadoop、Hive、Spark環境的示例。

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安裝Hadoop單機

如果您只需要在單個容器中運行Hadoop，則可以使用以下Dockerfile創建鏡像：

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：

繼承Hadoop鏡像
添加必要的核心配置文件
建立/opt/hadoop/logs目錄，並確保hdfs用戶可以訪問該目錄。

四、Docker安裝Hadoop命令

如果您只需要在多個容器中運行Hadoop命令，則可以使用以下Dockerfile創建鏡像：

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：

繼承Hadoop鏡像
添加一個名為start-hadoop.sh的腳本
在容器啟動時運行start-hadoop.sh。

五、Docker安裝Hadoop Hive

以下是使用Docker-compose安裝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安裝Hadoop3.1.3

以下是使用Docker-compose安裝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安裝HomeAssistant

以下是一個簡單的Docker-compose文件，用於安裝HomeAssistant。

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

八、Docker安裝MySQL

以下是使用Docker-compose安裝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個NodeManager，1個ResourceManager，1個NameNode和一個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

原創文章，作者：NMEFO，如若轉載，請註明出處：https://www.506064.com/zh-hant/n/332603.html