dolphinscheduler 配置yarn地址_hdfs

1.环境准备

1.1 集群规划

组件名称

hadoop1

hadoop2

hadoop3

hadoop4

hadoop5

DolphinScheduler-3.20

MasterServer

MasterServer

WorkerServer

WorkerServer

WorkerServer

AlertServer

ApiApplicationServer

Zookeeper-3.5.7

zk

zk

zk

MySQL-8.0.31

mysql

本次安装环境为contos7.9

1.2 组件下载地址

DolphinScheduler-3.20官网：https://dolphinscheduler.apache.org/zh-cn/download/3.2.0
官网安装文档：https://dolphinscheduler.apache.org/zh-cn/docs/3.2.0/guide/installation/cluster

1.3 前置准备工作

  1. JDK：下载JDK (1.8+)，安装并配置 JAVA_HOME 环境变量，并将其下的 bin 目录追加到 PATH 环境变量中。如果你的环境中已存在，可以跳过这步。
  2. 二进制包：在下载页面下载 DolphinScheduler 二进制包
  3. 数据库：PostgreSQL (8.2.15+) 或者 MySQL (5.7+)，两者任选其一即可，如 MySQL 则需要 JDBC Driver 8.0.16
  4. 注册中心：ZooKeeper (3.8.0+)，下载地址
  5. 进程树分析
  • macOS 安装pstree
  • Fedora/Red/Hat/CentOS/Ubuntu/Debian 安装psmisc
[hadoop@hadoop1 ~]$ sudo yum install -y psmisc

注意: DolphinScheduler 本身不依赖 Hadoop、Hive、Spark，但如果你运行的任务需要依赖他们，就需要有对应的环境支持

2.DolphinScheduler集群安装

2.1 解压安装包

  1. 上传DolphinScheduler安装包到hadoop1节点的/data/software目录
  2. 解压安装包到当前目录

注：解压目录并非最终的安装目录

[hadoop@hadoop1 software]$ tar -zxvf apache-dolphinscheduler-3.2.0-bin

2.2 配置数据库

DolphinScheduler 元数据存储在关系型数据库中，故需创建相应的数据库和用户。

mysql -uroot -p
//创建数据库
mysql> CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
//创建用户
//修改 {user} 和 {password} 为你希望的用户名和密码
mysql> CREATE USER '{user}'@'%' IDENTIFIED BY '{password}';
mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO '{user}'@'%';
mysql> CREATE USER '{user}'@'localhost' IDENTIFIED BY '{password}';
mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO '{user}'@'localhost';
mysql> FLUSH PRIVILEGES;

注：
若出现以下错误信息，表明新建用户的密码过于简单。
ERROR 1819 (HY000): Your password does not satisfy the current policy requirements
可提高密码复杂度或者执行以下命令降低MySQL密码强度级别。

mysql> set global validate_password_policy=0;
mysql> set global validate_password_length=4;

赋予用户相应权限

mysql> GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
mysql> flush privileges;

如果使用 MySQL 需要手动下载 mysql-connector-java 驱动 (8.0.31) 并移动到 DolphinScheduler 的每个模块的 libs 目录下，其中包括 api-server/libs 和 alert-server/libs 和 master-server/libs 和 worker-server/libs 和 tools/libs。
注意：如果你只是想要在数据源中心使用 MySQL，则对 MySQL JDBC 驱动的版本没有要求，如果你想要将 MySQL 作为 DolphinScheduler 的元数据库， 则仅支持 8.0.16 及以上的版本。

echo /data/software/dolphinscheduler-3.2.0/master-server/libs/ /data/software/dolphinscheduler-3.2.0/alert-server/libs/ /data/software/dolphinscheduler-3.2.0/api-server/libs/ /data/software/dolphinscheduler-3.2.0/worker-server/libs/ /data/software/dolphinscheduler-3.2.0/tools/libs/ | xargs -n 1 cp -v /data/software/mysql-8.0.31/mysql-connector-j-8.0.31.jar

2.2 准备 DolphinScheduler 启动环境

配置用户免密及权限

如果已有haodoop集群的账号，建议直接使用，无需配置

创建部署用户，并且一定要配置 sudo 免密。以创建 hadoop 用户为例

# 创建用户需使用 root 登录
useradd hadoop

# 添加密码
echo "hadoop" | passwd --stdin hadoop

# 配置 sudo 免密
sed -i '$ahadoop  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 hadoop:hadoop apache-dolphinscheduler-*-bin
chmod -R 755 apache-dolphinscheduler-*-bin

注意:
1.因为任务执行服务是以 sudo -u {linux-user} 切换不同 linux 用户的方式来实现多租户运行作业，所以部署用户需要有 sudo 权限，而且是免密的。初学习者不理解的话，完全可以暂时忽略这一点
2.如果发现 /etc/sudoers 文件中有 “Defaults requirett” 这行，也请注释掉
配置机器 SSH 免密登陆
由于安装的时候需要向不同机器发送资源，所以要求各台机器间能实现 SSH 免密登陆。配置免密登陆的步骤如下

su hadoop

ssh-keygen -t rsa -P '' -f ~/.ssh/id_rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys

注意: 配置完成后，可以通过运行命令 ssh localhost 判断是否成功，如果不需要输入密码就能 ssh 登陆则证明成功

2.3 启动 zookeeper(hadoop集群已有无需配置)

进入 zookeeper 的安装目录，将 zoo_sample.cfg 配置文件复制到 conf/zoo.cfg，并将 conf/zoo.cfg 中 dataDir 中的值改成 dataDir=./tmp/zookeeper

# 启动 zookeeper
./bin/zkServer.sh start

2.4 修改install_env.sh 文件

文件 install_env.sh 描述了哪些机器将被安装 DolphinScheduler 以及每台机器对应安装哪些服务。您可以在路径 bin/env/install_env.sh 中找到此文件，可通过以下方式更改 env 变量,export <ENV_NAME>=，配置详情如下。

ips=${ips:-"hadoop1,hadoop2,hadoop3,hadoop4,hadoop5"}
# modify it if you use different ssh port
sshPort=${sshPort:-"xxx"}

# 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"
masters=${masters:-"hadoop1,hadoop2"}

# A comma separated list of machine <hostname>:<workerGroup> or <IP>:<workerGroup>.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"
workers=${workers:-"hadoop3:default,hadoop4:default,hadoop5: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"
alertServer=${alertServer:-"hadoop3"}

# 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"
apiServers=${apiServers:-"hadoop2"}

# 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). Do not add quotes to it if you using related path.
installPath=${installPath:-"/data/module/dolphinscheduler-3.2.0"}

# 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
deployUser=${deployUser:-"hadoop"}

# The root of zookeeper, for now DolphinScheduler default registry server is zookeeper.
# It will delete ${zkRoot} in the zookeeper when you run install.sh, so please keep it same as registry.zookeeper.namespace in yml files.
# Similarly, if you want to modify the value, please modify registry.zookeeper.namespace in yml files as well.
zkRoot=${zkRoot:-"/dolphinscheduler"}

2.5 修改 dolphinscheduler_env.sh 文件

文件 ./bin/env/dolphinscheduler_env.sh 描述了下列配置：
DolphinScheduler 的数据库配置，详细配置方法见[初始化数据库]，一些任务类型外部依赖路径或库文件，如 JAVA_HOME 和 SPARK_HOME都是在这里定义的
如果您不使用某些任务类型，您可以忽略任务外部依赖项，但您必须根据您的环境更改 JAVA_HOME、注册中心和数据库相关配置。

export JAVA_HOME=${JAVA_HOME:-/data/module/jdk1.8.0_212}
# Database related configuration, set database type, username and password
export DATABASE=${DATABASE:-mysql}
export SPRING_PROFILES_ACTIVE=${DATABASE}
export SPRING_DATASOURCE_URL="jdbc:mysql://xxxx:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8"
export SPRING_DATASOURCE_USERNAME=xxx
export SPRING_DATASOURCE_PASSWORD=xxx

# Registry center configuration, determines the type and link of the registry center
export REGISTRY_TYPE=${REGISTRY_TYPE:-zookeeper}
export REGISTRY_ZOOKEEPER_CONNECT_STRING=${REGISTRY_ZOOKEEPER_CONNECT_STRING:-xxxx:2181,xxx:2181,xxx:2181}


export HADOOP_HOME=${HADOOP_HOME:-/data/module/hadoop-3.3.4}
export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-/data/module/hadoop-3.3.4/etc/hadoop}
export SPARK_HOME1=${SPARK_HOME1:-/data/module/spark-3.3.1}
#export SPARK_HOME2=${SPARK_HOME2:-/opt/soft/spark2}
#export PYTHON_HOME=${PYTHON_HOME:-/opt/soft/python}
export HIVE_HOME=${HIVE_HOME:-/data/module/hive-3.1.3}
export FLINK_HOME=${FLINK_HOME:-/data/module/flink-1.16.2}
export DATAX_HOME=${DATAX_HOME:-/data/module/datax}
#export SEATUNNEL_HOME=${SEATUNNEL_HOME:-/opt/soft/seatunnel}
#export CHUNJUN_HOME=${CHUNJUN_HOME:-/opt/soft/chunjun}

export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$JAVA_HOME/bin:$HIVE_HOME/bin:$FLINK_HOME/bin:$DATAX_HOME/bin:$PATH

2.6 初始化数据库

完成上述步骤后，您已经为 DolphinScheduler 创建一个新数据库，并在DolphinScheduler配置好，现在你可以通过快速的 Shell 脚本来初始化数据库

bash tools/bin/upgrade-schema.sh

2.7 修改application.yaml文件

共5个文件，需要修改的部分相同，但里面其他的配置不相同，需要单独改写分别为：

  • master-server/conf/application.yaml
  • api-server/conf/application.yaml
  • worker-server/conf/application.yaml
  • alert-server/conf/application.yaml
  • tools/conf/application.yaml
datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://xxxx:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
    username: xxx
    password: xxx

registry:
  type: zookeeper
  zookeeper:
    namespace: dolphinscheduler
    connect-string: xxxx
    retry-policy:
      base-sleep-time: 60ms
      max-sleep: 300ms
      max-retries: 5
    session-timeout: 30s
    connection-timeout: 9s
    block-until-connected: 600ms
    digest: ~

spring:
  config:
    activate:
      on-profile: mysql
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql:/xxxx:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
    username: xxxx
    password: xxxx
  quartz:
    properties:
      org.quartz.jobStore.driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate

2.8 修改common.properties文件

共5个文件，需要修改的部分相同，但里面其他的配置不相同，需要单独改写分别为：

  • master-server/conf/common.properties
  • api-server/conf/common.properties
  • worker-server/conf/common.properties
  • alert-server/conf/common.properties
  • tools/conf/common.properties
data.basedir.path=自定义本地文件存储位置
resource.storage.type=HDFS
# resource store on HDFS/S3 path, resource file will store to this base path, self configuration, please make sure the directory exists on hdfs and have read write permissions. "/dolphinscheduler" is recommended
resource.storage.upload.base.path=自定义hdfs的存储位置
resource.hdfs.root.user=自定义用户名称，和本文档之前做的配置要一致
# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
resource.hdfs.fs.defaultFS=hdfs://xxx:8020
#高可用ip地址
yarn.resourcemanager.ha.rm.ids=xxxx,xxx
# if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname
yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s
# job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)
yarn.job.history.status.address=http:/xxx:19888/jobhistory/logs/%s

注：本次dolphinscheduler分布式存储采用的hdfs，如需其他配置，根据官网介绍配置即可

2.9 分布式存储hdfs依赖分发

echo /data/software/dolphinscheduler-3.2.0/master-server/conf/ /data/software/dolphinscheduler-3.2.0/alert-server/conf/ /data/software/dolphinscheduler-3.2.0/api-server/conf/ /data/software/dolphinscheduler-3.2.0/worker-server/conf/ | xargs -n 1 cp -v /data/module/hadoop-3.3.4/etc/hadoop/core-site.xml /data/module/hadoop-3.3.4/etc/hadoop/hdfs-site.xml

2.10 启动 DolphinScheduler

使用上面创建的部署用户运行以下命令完成部署，部署后的运行日志将存放在 logs 文件夹内

bash ./bin/install.sh

注意: 第一次部署的话，可能出现 5 次sh: bin/dolphinscheduler-daemon.sh: No such file or directory相关信息，此为非重要信息直接忽略即可

2.11 登录 DolphinScheduler

浏览器访问地址 http://localhost:12345/dolphinscheduler/ui 即可登录系统 UI。默认的用户名和密码是 admin/dolphinscheduler123

3.起停服务

# 一键停止集群所有服务
bash ./bin/stop-all.sh

# 一键开启集群所有服务
bash ./bin/start-all.sh

# 启停 Master
bash ./bin/dolphinscheduler-daemon.sh stop master-server
bash ./bin/dolphinscheduler-daemon.sh start master-server

# 启停 Worker
bash ./bin/dolphinscheduler-daemon.sh start worker-server
bash ./bin/dolphinscheduler-daemon.sh stop worker-server

# 启停 Api
bash ./bin/dolphinscheduler-daemon.sh start api-server
bash ./bin/dolphinscheduler-daemon.sh stop api-server

# 启停 Alert
bash ./bin/dolphinscheduler-daemon.sh start alert-server
bash ./bin/dolphinscheduler-daemon.sh stop alert-server