• DolpinScheduler


    1 简介

    官网:https://dolphinscheduler.apache.org/zh-cn/

    文档:https://dolphinscheduler.apache.org/zh-cn/docs/

    https://dolphinscheduler.apache.org/zh-cn/docs/2.0.5/user_doc/guide/flink-call.html

    Apache DolphinScheduler是一个分布式 易扩展可视化工作流任务调度平台,致力于解决数据处理流程中错综复杂的关系,使调度系统在数据处理流程中开箱即用。

    版本:2.0.5

    1.1 特性

    • 简单易用:DAG监控界面,所有流程定义都是可视化,通过拖拽任务完成定制DAG,通过API方式与第三方系统集成,一键部署。
    • 高可靠性:去中心化的多Master和多Worker服务对等架构,避免单Master压力过大,另外采用任务缓冲队列来避免过载。
    • 高扩展性:支持自定义任务类型,调度器使用分布式调度,调度能力随集群线性增长,Master和Worker支持动态上下线。
    • 丰富的使用场景:支持多租户,支持暂停恢复操作,紧密贴合大数据生态,提供Spark、Hive、MapRedece、Python、Sub_process、Shell等近20中任务类型。

    1.2 核心架构(主要角色)

    • MasterServer:采用分布式务中心设计理念,MasterServer主要负责DAG任务切分,任务提交、任务监控,并同时监听其他MasterServer和WorkerServer的健康状态。(负责工作流)
    • WorkerServer:也采用分布式务中心设计理念,WorkerServer主要负责任务的执行和提供日志服务。(负责任务)
    • ZooKeeper:系统中MasterServer和WorkerServer节点都通过ZooKeeper来进行集群管理和容错。
    • Alert服务:提供告警相关服务。
    • API接口层:主要负责处理前端UI层的请求。
    • UI:系统的前端页面,提供系统的各种可视化操作界面。

    在这里插入图片描述

    2 部署说明

    2.1 软硬件要求

    操作系统要求

    操作系统版本
    Red Hat Enterprise Linux>=7.0
    CentOS>=7.0
    Oracle Enterprise Linux>=7.0
    Ubuntu LTS>=16.04

    服务器硬件要求

    CPU内存硬盘类型网络实例数量
    4核+8GB+SAS千兆网卡1+

    2.2 部署模式

    2.2.1 单机模式

    单机模式(sandalone)模式下,所有服务均集中于一个StandaloneServer进程中,并且其中内置了注册中心ZooKeeper和数据库H2。只需配置JDK环境,即可一键启动DolphinScheduler。(学习、测试)

    2.2.2 伪集群模式

    伪集群模式(Pseudo-Cluster)是单台机器部署DolphinSchdeuler各项服务,该模式下master、worker、api server、logger server等服务都只在同一台机器上。ZooKeeper和数据库需要单独安装并进行响应配置。

    2.2.3 集群模式

    相对于伪集群,区别在于可以在多台机器部署 DolphinScheduler各项服务,并且Maser、Worker等服务可配置多个。

    3 集群搭建

    下载:https://dlcdn.apache.org/dolphinscheduler/2.0.5/

    3.1 环境准备

    3.1.1 硬件

    Master:通常2~3个
    Worker:多个

    这里配置一个Master、三个Worker

    名称IP角色
    master192.168.56.20master、worker
    slave1192.168.56.21worker
    slave2192.168.56.22worker

    3.1.2 软件

    1. 三台阶段均需安装JDK(1.8+),并配置相关环境变量。

    2. 需部署数据库,支持MySQL(5.7+)或者PostgreSQL(8.2.15+)

    3. 需部署Zookeeper(3.4.6+)

    4. 三台节点均需安装进程树分析工具psmisc

      sudo yum install -y psmisc
      
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    本次环境:
    JAVA:V1.8.0_151
    ZooKeeper:V3.7.1
    驱动:
    mysql-connector-java-8.0.16.jar

    3.2 创建元数据库及用户

    安装docker:https://blog.csdn.net/zx77588023/article/details/122652560

    docker run -d \
    -p 3306:3306 \
    -v /usr/local/mysql/data/conf:/etc/mysql/conf.d \
    -v /usr/local/mysql/data/data:/var/lib/mysql \
    -e MYSQL_ROOT_PASSWORD=root \
    --name ds_mysql mysql:5.7
    
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    登录mysql

    mysql -u root -p
    
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    1、创建数据库

    CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
    
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    2、创建用户

    CREATE USER 'dolphinscheduler'@'%' IDENTIFIED BY 'dolphinscheduler';
    
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    如果测试使用,提供密码过于简单,可以降低密码强度级别

    set global validate_password_length=4;
    set global validate_password_policy=0;
    
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    3、赋予用户响应权限

    GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
    
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    flush privileges;
    
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    3.3 初始化数据库

    1、拷贝MySQL驱动到DolphinScheduler的解压目录lib中,要求版本:JDBC Driver 8.0.16

    cp mysql-connector-java-8.0.16.jar /usr/local/ds/apache-dolphinscheduler-2.0.5-bin/lib
    
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    2、执行数据库初始化脚本

    cd /usr/local/ds/apache-dolphinscheduler-2.0.5-bin
    ./script/create-dolphinscheduler.sh
    
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    3.4 配置一键部署脚本

    三台机器均配置免密超级用户 charles

    useradd charles -u 520
    
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    sudo vim /etc/sudoers
    
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    charles ALL=(ALL)       NOPASSWD:ALL
    
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    # 创建用户需使用 root 登录
    useradd dolphinscheduler
    
    # 添加密码
    echo "dolphinscheduler" | passwd --stdin dolphinscheduler
    
    # 配置 sudo 免密
    sed -i '$adolphinscheduler  ALL=(ALL)  NOPASSWD: NOPASSWD: ALL' /etc/sudoers
    sed -i 's/Defaults    requirett/#Defaults    requirett/g' /etc/sudoers
    
    # 修改目录权限,使得部署用户对二进制包解压后的 apache-dolphinscheduler-*-bin 目录有操作权限
    chown -R dolphinscheduler:dolphinscheduler apache-dolphinscheduler-*-bin
    
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    修改 conf/config目录下得install_config.conf文件

    vim conf/config/install_config.conf
    
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    # Licensed to the Apache Software Foundation (ASF) under one or more
    # contributor license agreements.  See the NOTICE file distributed with
    # this work for additional information regarding copyright ownership.
    # The ASF licenses this file to You under the Apache License, Version 2.0
    # (the "License"); you may not use this file except in compliance with
    # the License.  You may obtain a copy of the License at
    #
    #     http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    #
    
    # ---------------------------------------------------------
    # INSTALL MACHINE
    # ---------------------------------------------------------
    # A comma separated list of machine hostname or IP would be installed DolphinScheduler,
    # including master, worker, api, alert. If you want to deploy in pseudo-distributed
    # mode, just write a pseudo-distributed hostname
    # Example for hostnames: ips="ds1,ds2,ds3,ds4,ds5", Example for IPs: ips="192.168.8.1,192.168.8.2,192.168.8.3,192.168.8.4,192.168.8.5"
    # 将要部署的任一 DolpinScheduler 服务的主机名或ip列表
    ips="master,slave1,slave2"
    
    # Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine
    # modify it if you use different ssh port
    sshPort="22"
    
    # A comma separated list of machine hostname or IP would be installed Master server, it
    # must be a subset of configuration `ips`.
    # Example for hostnames: masters="ds1,ds2", Example for IPs: masters="192.168.8.1,192.168.8.2"
    # master所在主机名列表,必须是 ips 的子集
    masters="master"
    
    # A comma separated list of machine : or :.All hostname or IP must be a
    # subset of configuration `ips`, And workerGroup have default value as `default`, but we recommend you declare behind the hosts
    # Example for hostnames: workers="ds1:default,ds2:default,ds3:default", Example for IPs: workers="192.168.8.1:default,192.168.8.2:default,192.168.8.3:default"
    # work 主机名及队列,此处的ip 必须在 ips 列表中
    workers="master:default,slave1:default,slave2:default"
    
    # A comma separated list of machine hostname or IP would be installed Alert server, it
    # must be a subset of configuration `ips`.
    # Example for hostname: alertServer="ds3", Example for IP: alertServer="192.168.8.3"
    # 告警服务所在服务器主机名
    alertServer="slave1"
    
    # A comma separated list of machine hostname or IP would be installed API server, it
    # must be a subset of configuration `ips`.
    # Example for hostname: apiServers="ds1", Example for IP: apiServers="192.168.8.1"
    # api 服务所在服务器主机名
    apiServers="slave1"
    
    # A comma separated list of machine hostname or IP would be installed Python gateway server, it
    # must be a subset of configuration `ips`.
    # Example for hostname: pythonGatewayServers="ds1", Example for IP: pythonGatewayServers="192.168.8.1"
    
    # 不需要的配置项,可以保留默认值,也可以 #注释
    #pythonGatewayServers="ds1"
    
    # The directory to install DolphinScheduler for all machine we config above. It will automatically be created by `install.sh` script if not exists.
    # Do not set this configuration same as the current path (pwd)
    # 安装路径
    installPath="/usr/local/ds/ds_install"
    
    # The user to deploy DolphinScheduler for all machine we config above. For now user must create by yourself before running `install.sh`
    # script. The user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled than the root directory needs
    # to be created by this user
    
    # 部署用户 具有sudo权限,配置免密 
    deployUser="charles"
    #deployUser="root"
    
    # The directory to store local data for all machine we config above. Make sure user `deployUser` have permissions to read and write this directory.
    
    # 临时路径
    dataBasedirPath="/tmp/dolphinscheduler"
    
    # ---------------------------------------------------------
    # DolphinScheduler ENV
    # ---------------------------------------------------------
    # JAVA_HOME, we recommend use same JAVA_HOME in all machine you going to install DolphinScheduler
    # and this configuration only support one parameter so far.
    javaHome="/usr/local/jdk1.8.0_151"
    
    # DolphinScheduler API service port, also this is your DolphinScheduler UI component's URL port, default value is 12345
    
    apiServerPort="12345"
    
    # ---------------------------------------------------------
    # Database
    # NOTICE: If database value has special characters, such as `.*[]^${}\+?|()@#&`, Please add prefix `\` for escaping.
    # ---------------------------------------------------------
    # The type for the metadata database
    # Supported values: ``postgresql``, ``mysql`, `h2``.
    
    # 数据库类型
    DATABASE_TYPE="mysql"
    
    # string jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8 as example
    SPRING_DATASOURCE_URL="jdbc:mysql://master:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8"
    
    # 数据库用户名
    SPRING_DATASOURCE_USERNAME="dolphinscheduler"
    
    # 数据库密码
    SPRING_DATASOURCE_PASSWORD="dolphinscheduler"
    
    # ---------------------------------------------------------
    # Registry Server(这里配置zookeeper)
    # ---------------------------------------------------------
    # Registry Server plugin name, should be a substring of `registryPluginDir`, DolphinScheduler use this for verifying configuration consistency
    registryPluginName="zookeeper"
    
    # Registry Server address.
    registryServers="master:2181,slave1:2181,slave2:2181"
    
    # Registry Namespace(注册中心命名空间)
    registryNamespace="dolphinscheduler"
    
    # ---------------------------------------------------------
    # Worker Task Server
    # ---------------------------------------------------------
    # Worker Task Server plugin dir. DolphinScheduler will find and load the worker task plugin jar package from this dir.
    taskPluginDir="lib/plugin/task"
    
    # resource storage type: HDFS, S3, NONE(资源中心,比存储MR中使用的jar包)
    resourceStorageType="HDFS"  # 这里我们存储在HDFS中
    
    # resource store on HDFS/S3 path, resource file will store to this hdfs path, self configuration, please make sure the directory exists on hdfs and has read write permissions. "/dolphinscheduler" is recommended
    # 存储资源的根目录
    resourceUploadPath="/dolphinscheduler"
    
    # if resourceStorageType is HDFS,defaultFS write namenode address,HA, you need to put core-site.xml and hdfs-site.xml in the conf directory.
    # if S3,write S3 address,HA,for example :s3a://dolphinscheduler,
    # Note,S3 be sure to create the root directory /dolphinscheduler
    # 默认FS得知(我们用hadoop的)
    defaultFS="hdfs://master:9000"
    
    # if resourceStorageType is S3, the following three configuration is required, otherwise please ignore
    s3Endpoint="http://192.168.xx.xx:9010"
    s3AccessKey="xxxxxxxxxx"
    s3SecretKey="xxxxxxxxxx"
    
    # resourcemanager port, the default value is 8088 if not specified
    resourceManagerHttpAddressPort="8088"
    
    # if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single node, keep this value empty
    # 启用了HA
    yarnHaIps=""
    
    # if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single node, you only need to replace 'yarnIp1' to actual resourcemanager hostname
    # 未启用HA
    singleYarnIp="master"
    
    # who has permission to create directory under HDFS/S3 root path
    # Note: if kerberos is enabled, please config hdfsRootUser=
    hdfsRootUser="hdfs"
    
    # kerberos config
    # whether kerberos starts, if kerberos starts, following four items need to config, otherwise please ignore
    # hdfs超级用户(谁启动的)
    kerberosStartUp="false"
    # kdc krb5 config file path
    krb5ConfPath="$installPath/conf/krb5.conf"
    # keytab username,watch out the @ sign should followd by \\
    keytabUserName="hdfs-mycluster\\@ESZ.COM"
    # username keytab path
    keytabPath="$installPath/conf/hdfs.headless.keytab"
    # kerberos expire time, the unit is hour
    kerberosExpireTime="2"
    
    # use sudo or not
    sudoEnable="true"
    
    # worker tenant auto create
    workerTenantAutoCreate="true"
    
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    3.5 一键部署 DolpinScheduler

    1、启动 Zookeeper 集群

    zh.sh start
    
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    2、一键部署并启动DolphinScheduler

    ./install.sh
    
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    3、查看 DolphinScheduler进程

    jps
    
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    4、访问DophinScheduler UI

    http://192.168.56.21:12345/dolphinscheduler
    
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    初始用户名:admin
    初始密码:dolphinscheduler123

    在这里插入图片描述

    3.6 DolphinScheduler启停命令

    进入到安装目录 cd /usr/local/ds/ds_install
    1、一键启停所有服务

    ./bin/start-all.sh
    ./bin/stop-all.sh
    
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    2、启停 Master

    ./dolphinscheduler-daemon.sh start master-server
    ./dolphinscheduler-daemon.sh stop master-server
    
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    3、启停 Worker

    ./dolphinscheduler-daemon.sh start worker-server
    ./dolphinscheduler-daemon.sh stop worker-server
    
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    4、启停 Api

    ./dolphinscheduler-daemon.sh start api-server
    ./dolphinscheduler-daemon.sh stop api-server
    
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    5、启停 Logger

    ./dolphinscheduler-daemon.sh start logger-server
    ./dolphinscheduler-daemon.sh stop logger-server
    
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    4 DolphinScheduler入门

    4.1 安全中心配置

    4.1.1 Yarn队列管理

    队列是在执行spark、mapreduce等程序,需要用到“队列”参数时使用的。
    此处的队列对应的是Yarn调度器资源队列。故队列概念只对泡在Yarn上的任务类型有效。此处创建出的队列,可供后续任务进行选择。需要注意的是,在DolphinSheduler中创建队列,并不会影响到Yarn调度器的队列配置。

    4.1.2 租户管理

    租户对应的是 Linux的用户,用于worker提交作业所使用的用户。如果 linux 没有这个用户,默认情况下回导致任务运行失败。可以通过修改 worker.properties 配置文件中参数 worker.tenant.auto.create=true(默认值为flase)实现当linux用户不存在时自动创建该用户。
    worker.tenant.auto.create=true 参数会要求 worker 可以免密运行 sudo 命令。

    vim /usr/local/ds/ds_install/conf/worker.properties
    
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    报错处理:

    org.apache.dolphinscheduler.registry.api.RegistryException: zookeeper connect timeout

    vim registry.properties
    
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    registry.connection.timeout.ms=75000
    
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    org.apache.dolphinscheduler.api.exceptions.ApiExceptionHandler:[46] - 创建租户错误
    查看

    vim /usr/local/hadoop-2.8.4/etc/hadoop/core-site.xml
    
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    <!--配置hdfs默认的命名-->
    
    	fs.defaultFS</name>
    	hdfs://master:9000</value>
    </property>
    
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    资源存储类型:HDFS,S3,NONE,修改 install_config.conf

    如果resourceStorageType是HDFS,defaultFS写入namenode地址,HA需要把core-site.xml和hdfs-site.xml放到conf目录下。
    如果是S3,写S3地址,HA,例如:s3a://dolphinscheduler,
    注意,s3一定要创建根目录/dolphinscheduler
    
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    org.apache.hadoop.ipc.RemoteException: Permission denied: user=hdfs, access=WRITE, inode="/":root:supergroup:drwxr-xr-x

    org.apache.hadoop.security.AccessControlException: Permission denied: user=hdfs, access=WRITE, inode="/":root:supergroup:drwxr-xr-x
    对非CDH用户

    vim /usr/local/hadoop-2.8.4/etc/hadoop/hdfs-site.xml
    
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    <!--是否启用hdfs的权限-->
    
        dfs.permissions</name>
        false</value>
    </property>
    
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    参考地址:
    https://blog.csdn.net/g11d111/article/details/72902112

    参考地址:
    https://www.bilibili.com/video/BV1sa411x7Ep
    https://github.com/apache/dolphinscheduler/issues/4389

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  • 原文地址:https://blog.csdn.net/zx77588023/article/details/126186193