Dolphin Scheduler 1.2.0 部署参数分析
本文章经授权转载
1
组件介绍
Apache Dolphin Scheduler是一个分布式易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系,使调度系统在数据处理流程中开箱即用。
官网
https://dolphinscheduler.apache.org/en-us/
github
https://github.com/apache/incubator-dolphinscheduler
2
ds-1.2.0 目录解读
(讲解配置文件的作用,具体配置在install.sh部署文件中完成)
bin 启动脚本
conf 配置文件
lib ds依赖的jar包
script 数据库创建升级脚本,部署分发脚本
sql ds的元数据创建升级sql文件
install.sh 部署ds主要的配置文件修改处
bin
bin目录下比较重要的是dolphinscheduler-daemon文件,之前版本中极容易出现的找不到jdk问题来源,当前版本的jdk已经export了本机的$JAVA_HOME,再也不用担心找不到jdk了。
conf
非常重要的配置文件目录!!!
非常重要的配置文件目录!!!
非常重要的配置文件目录!!!
env目录下的.dolphinscheduller_env.sh文件中记录了所有跟ds-task相关的环境变量,1.2.0版本的Spark不具备指定Spark版本的功能,可以注释掉SPARK_HOME1或者将SPARK_HOME1和SPARK_HOME2均配置为集群中的Spark2。下面给出CDH中的配置,测试环境中没有部署Flink,请忽略Flink的配置。
(特别注意这个隐藏文件,需要ls -al)
export HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
export HADOOP_CONF_DIR=/opt/cloudera/parcels/CDH/lib/hadoop/etc/hadoop
#可以注释掉,也可以配置为SPARK_HOME2
#export SPARK_HOME1=/opt/cloudera/parcels/SPARK2/lib/spark2
export SPARK_HOME2=/opt/cloudera/parcels/SPARK2/lib/spark2
export PYTHON_HOME=/usr/local/anaconda3/bin/python
export JAVA_HOME=/usr/java/jdk1.8.0_131
export HIVE_HOME=/opt/cloudera/parcels/CDH/lib/hive
export FLINK_HOME=/opt/soft/flink
export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$SPARK_HOME2/bin:$PYTHON_HOME:$JAVA_HOME/bin:$HIVE_HOME/bin:$PATH:$FLINK_HOME/bin:$PATH
common目录
common.properies
ds的task队列实现方式,默认是zookeeper
ds的task和资源的worker执行路径
资源中心
资源中心可选择HDFS,S3和服务器本地存储
资源文件类型
kerberos
开发状态
开发测试可以开启,生产环境建议设置为false
ds的环境变量配置,本地调试的时候,需要保证dolphinscheduler.env.path存在
hadoop.properties
hdfs namenode配置
单点可以直接写namenode的ip
hdfsHA需要将集群的core-site.xml和hdfs-site.xml文件拷贝到ds的conf目录下
s3配置
yarn resourcemanager配置
yarn.application.status.address - yarn单点
yarn.resourcemanager.ha.rm.ids - yarn HA
config目录
install_config.conf
ds的安装路径
部署用户
部署ds的机器组ip
run_config.conf
指定masters,workers,alertServer,apiServer部署在哪些机器上
alert.properties
邮件告警配置
excel下载目录
企业微信配置
application-api.properties
apiserver端口,上下文,日志等
application-dao.properties
敲黑板,重点!!!ds的元数据库配置,在ds-1.2.0中默认的数据库是pg,如果要使用mysql,需要将mysql的jdbc包放到lib目录下。
ds元数据库配置
master.properties
master执行线程数
master并行任务上限
master资源CPU和内存阈值,超出阈值不会进行dag切分
worker.properties
worker执行线程数
worker一次提交任务数
worker资源CPU和内存阈值,超出不会去task队列拉取task
zookeeper.properties
zk集群
ds所需zk的znode,包含dag和task的分布式锁和master和worker的容错
quartz.properties
ds的定时由quartz框架完成,特别注意里边有quartz的数据库配置!!!
quartz的基本属性,线程池和job配置
quartz元数据库配置
3
install.sh详解
install.sh部署脚本是ds部署中的重头戏,下面将参数分组进行分析。
数据库配置
# for example postgresql or mysql ...
dbtype="postgresql"
# db config
# db address and port
dbhost="192.168.xx.xx:5432"
# db name
dbname="dolphinscheduler"
# db username
username="xx"
# db passwprd
# Note: if there are special characters, please use the \ transfer character to transfer
passowrd="xx"
dbtype参数可以设置postgresql和mysql,这里指定了ds连接元数据库的jdbc相关信息
部署用户&目录
# conf/config/install_config.conf config
# Note: the installation path is not the same as the current path (pwd)
installPath="/data1_1T/dolphinscheduler"
# deployment user
# Note: the deployment user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled, the root directory needs to be created by itself
deployUser="dolphinscheduler"
installPath是安装路径,在执行install.sh之后,会把ds安装到指定目录,如/opt/ds-agent。installPath不要和当前要一键安装的install.sh是同一目录。
deployUser是指ds的部署用户,该用户需要在部署ds的机器上打通sudo免密,并且需要具有操作hdfs的权限,建议挂到hadoop的supergroup组下。
zk集群&角色指定
配置zk集群的时候,特别注意:要用ip:2181的方式配置上去,一定要把端口带上。
ds一共包括master worker alert api四种角色,其中alert api只需指定一台机器即可,master和worker可以部署多态机器。下面的例子就是在4台机器中,部署2台master,2台worker,1台alert,1台api
ips参数,配置所有需要部署机器的hostname
masters,配置部署master机器的hostname
workers,配置部署worker机器的hostname
alertServer,配置部署alert机器的hostname
apiServers,配置部署api机器的hostname
(前提在部署机器上已经设置好hostname)
zkroot参数可以通过调整,在一套zk集群中,配置开发测试和生产环境ds集群,如配置zkRoot="/dspro",zkRoot="/dstest"
# zk cluster
zkQuorum="192.168.xx.xx:2181,192.168.xx.xx:2181,192.168.xx.xx:2181"
# install hosts
# Note: install the scheduled hostname list. If it is pseudo-distributed, just write a pseudo-distributed hostname
ips="ark0,ark1,ark2,ark3"
# conf/config/run_config.conf config
# run master machine
# Note: list of hosts hostname for deploying master
masters="ark0,ark1"
# run worker machine
# note: list of machine hostnames for deploying workers
workers="ark2,ark3"
# run alert machine
# note: list of machine hostnames for deploying alert server
alertServer="ark3"
# run api machine
# note: list of machine hostnames for deploying api server
apiServers="ark1"
# zk config
# zk root directory
zkRoot="/dolphinscheduler"
# used to record the zk directory of the hanging machine
zkDeadServers="$zkRoot/dead-servers"
# masters directory
zkMasters="$zkRoot/masters"
# workers directory
zkWorkers="$zkRoot/workers"
# zk master distributed lock
mastersLock="$zkRoot/lock/masters"
# zk worker distributed lock
workersLock="$zkRoot/lock/workers"
# zk master fault-tolerant distributed lock
mastersFailover="$zkRoot/lock/failover/masters"
# zk worker fault-tolerant distributed lock
workersFailover="$zkRoot/lock/failover/workers"
# zk master start fault tolerant distributed lock
mastersStartupFailover="$zkRoot/lock/failover/startup-masters"
# zk session timeout
zkSessionTimeout="300"
# zk connection timeout
zkConnectionTimeout="300"
# zk retry interval
zkRetrySleep="100"
# zk retry maximum number of times
zkRetryMaxtime="5"
邮件配置&excel文件路径
邮件配置建议clone ds的代码,跑一下alert.MailUtilisTest这个测试类,下面给出QQ邮箱配置方式。如果是内网邮箱,需要注意的是ssl是否需要关闭,以及mail.user登陆用户是否需要去掉邮箱后缀。
excel路径则需要保证该路径的写入权限
#QQ邮箱配置
# alert config
# mail protocol
mailProtocol="SMTP"
# mail server host
mailServerHost="smtp.qq.com"
# mail server port
mailServerPort="465"
# sender
mailSender="783xx8369@qq.com"
# user
mailUser="783xx8369@qq.com"
# sender password
mailPassword="邮箱授权码"
# TLS mail protocol support
starttlsEnable="false"
sslTrust="smtp.qq.com"
# SSL mail protocol support
# note: The SSL protocol is enabled by default.
# only one of TLS and SSL can be in the true state.
sslEnable="true"
# download excel path
xlsFilePath="/tmp/xls"
# alert port
alertPort=7789
apiServer配置
需要注意端口和上下文即apiServerPort和apiServerContextPath参数
# api config
# api server port
apiServerPort="12345"
# api session timeout
apiServerSessionTimeout="7200"
# api server context path
apiServerContextPath="/dolphinscheduler/"
# spring max file size
springMaxFileSize="1024MB"
# spring max request size
springMaxRequestSize="1024MB"
# api max http post size
apiMaxHttpPostSize="5000000"
资源中心&YARN
ds的资源中心支持HDFS和S3.
resUploadStartupType="HDFS"则开启hdfs作为资源中心。
defaultFS,如果hdfs没有配置HA则需要在这里写上单点namenode的ip,如果HDFS是HA则需要将集群的core-site.xml文件和hdfs-site.xml文件拷贝到conf目录下
yarnHaIps,如果yarn启用了HA,配置两个resourcemanager的ip,如果是单点,配置空字符串
singleYarnIp,配置resourcemanager的ip,在yarn单点情况下
hdfsPath,HDFS上ds存储资源的根路径,可采用默认值,如果是从1.1.0版本进行升级,需要注意这个地方,改为/escheduler
# resource Center upload and select storage method:HDFS,S3,NONE
resUploadStartupType="NONE"
# if resUploadStartupType 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
defaultFS="hdfs://mycluster:8020"
# if S3 is configured, the following configuration is required.
s3Endpoint="http://192.168.xx.xx:9010"
s3AccessKey="xxxxxxxxxx"
s3SecretKey="xxxxxxxxxx"
# resourcemanager HA configuration, if it is a single resourcemanager, here is yarnHaIps=""
yarnHaIps="192.168.xx.xx,192.168.xx.xx"
# if it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine.
singleYarnIp="ark1"
# hdfs root path, the owner of the root path must be the deployment user.
# versions prior to 1.1.0 do not automatically create the hdfs root directory, you need to create it yourself.
hdfsPath="/dolphinscheduler"
# have users who create directory permissions under hdfs root path /
# Note: if kerberos is enabled, hdfsRootUser="" can be used directly.
hdfsRootUser="hdfs"
开发状态
devState在测试环境部署的时候可以调为true,生产环境部署建议调为false
# development status, if true, for the SHELL script, you can view the encapsulated SHELL script in the execPath directory.
# If it is false, execute the direct delete
devState="true"
角色参数
角色参数主要调整application.properties配置文件,涉及master,worker和apiserver
apiServerPort可以自定义修改apiserver的端口,注意需要跟前端保持一致。
master和worker的参数,初次部署建议保持默认值,如果在运行当中出现性能问题在作调整,有条件可以压一下自身环境中的master和worker的最佳线程数。
worker.reserved.memory是worker的内存阈值,masterReservedMemory是master的内存阈值,建议调整为0.1
masterMaxCpuLoadAvg建议注释掉,ds-1.2.0master和worker的CPU负载给出了默认cpu线程数 * 2的默认值
# master config
# master execution thread maximum number, maximum parallelism of process instance
masterExecThreads="100"
# the maximum number of master task execution threads, the maximum degree of parallelism for each process instance
masterExecTaskNum="20"
# master heartbeat interval
masterHeartbeatInterval="10"
# master task submission retries
masterTaskCommitRetryTimes="5"
# master task submission retry interval
masterTaskCommitInterval="100"
# master maximum cpu average load, used to determine whether the master has execution capability
#masterMaxCpuLoadAvg="10"
# master reserve memory to determine if the master has execution capability
masterReservedMemory="1"
# master port
masterPort=5566
# worker config
# worker execution thread
workerExecThreads="100"
# worker heartbeat interval
workerHeartbeatInterval="10"
# worker number of fetch tasks
workerFetchTaskNum="3"
# worker reserve memory to determine if the master has execution capability
workerReservedMemory="1"
# master port
workerPort=7788
特别注意
ds需要启用资源中心之后,才可以创建租户,因此资源中心的配置一定要正确
ds老版本部署需要配置JDK的问题已经解决
installPath不要和当前要一键安装的install.sh是同一目录,installPath不要部署在home目录下!!!
ds的task运行都依赖env目录下的环境变量文件,需要正确配置
HDFS高可用,需要把core-site.xml和hdfs-site.xml文件拷贝到conf目录下
邮件配置中mailUser和mailSender的区别