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
的可视化
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
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+ |
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)
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。
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。
下载:https://dlcdn.apache.org/dolphinscheduler/2.0.5/
Master:通常2~3个
Worker:多个
这里配置一个Master、三个Worker
名称 | IP | 角色 |
---|---|---|
master | 192.168.56.20 | master、worker |
slave1 | 192.168.56.21 | worker |
slave2 | 192.168.56.22 | worker |
三台阶段均需安装JDK(1.8+),并配置相关环境变量。
需部署数据库,支持MySQL(5.7+)或者PostgreSQL(8.2.15+)
需部署Zookeeper(3.4.6+)
三台节点均需安装进程树分析工具psmisc
sudo yum install -y psmisc
本次环境:
JAVA:V1.8.0_151
ZooKeeper:V3.7.1
驱动:
mysql-connector-java-8.0.16.jar
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
登录mysql
mysql -u root -p
1、创建数据库
CREATE DATABASE dolphinscheduler DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
2、创建用户
CREATE USER 'dolphinscheduler'@'%' IDENTIFIED BY 'dolphinscheduler';
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;
3、赋予用户响应权限
GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
flush privileges;
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
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
三台机器均配置免密
超级用户 charles
useradd charles -u 520
sudo vim /etc/sudoers
charles ALL=(ALL) NOPASSWD:ALL
# 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
修改 conf/config
目录下得install_config.conf
文件
vim conf/config/install_config.conf
# 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"
1、启动 Zookeeper 集群
zh.sh start
2、一键部署并启动DolphinScheduler
./install.sh
3、查看 DolphinScheduler进程
jps
4、访问DophinScheduler UI
http://192.168.56.21:12345/dolphinscheduler
初始用户名:admin
初始密码:dolphinscheduler123
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
2、启停 Master
./dolphinscheduler-daemon.sh start master-server
./dolphinscheduler-daemon.sh stop master-server
3、启停 Worker
./dolphinscheduler-daemon.sh start worker-server
./dolphinscheduler-daemon.sh stop worker-server
4、启停 Api
./dolphinscheduler-daemon.sh start api-server
./dolphinscheduler-daemon.sh stop api-server
5、启停 Logger
./dolphinscheduler-daemon.sh start logger-server
./dolphinscheduler-daemon.sh stop logger-server
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。
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
org.apache.dolphinscheduler.registry.api.RegistryException: zookeeper connect timeout
vim registry.properties
registry.connection.timeout.ms=75000
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
<!--配置hdfs默认的命名-->
fs.defaultFS</name>
hdfs://master:9000</value>
</property>
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
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
<!--是否启用hdfs的权限-->
dfs.permissions</name>
false</value>
</property>
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