<curator.version>4.3.0</curator.version>

<zookeeper.version>3.4.14</zookeeper.version>

<spring.version>5.3.12</spring.version>

<spring.boot.version>2.5.6</spring.boot.version>

<java.version>1.8</java.version>

<logback.version>1.2.3</logback.version>

<hadoop.version>2.7.3</hadoop.version>

<quartz.version>2.3.0</quartz.version>

<jackson.version>2.10.5</jackson.version>

<mybatis-plus.version>3.2.0</mybatis-plus.version>

<mybatis.spring.version>2.0.1</mybatis.spring.version>

<cron.utils.version>9.1.3</cron.utils.version>

<druid.version>1.2.4</druid.version>

<h2.version>1.4.200</h2.version>

<commons.codec.version>1.11</commons.codec.version>

<commons.logging.version>1.1.1</commons.logging.version>

<httpclient.version>4.4.1</httpclient.version>

<httpcore.version>4.4.1</httpcore.version>

<junit.version>4.12</junit.version>

<mysql.connector.version>8.0.16</mysql.connector.version>

<slf4j.api.version>1.7.5</slf4j.api.version>

<slf4j.log4j12.version>1.7.5</slf4j.log4j12.version>

<commons.collections.version>3.2.2</commons.collections.version>

<commons.httpclient>3.0.1</commons.httpclient>

<commons.beanutils.version>1.9.4</commons.beanutils.version>

<commons.configuration.version>1.10</commons.configuration.version>

<commons.lang.version>2.6</commons.lang.version>

<commons.email.version>1.5</commons.email.version>

<poi.version>4.1.2</poi.version>

<javax.servlet.api.version>3.1.0</javax.servlet.api.version>

<commons.collections4.version>4.1</commons.collections4.version>

<guava.version>24.1-jre</guava.version>

<postgresql.version>42.2.5</postgresql.version>

<hive.jdbc.version>2.1.0</hive.jdbc.version>

<commons.io.version>2.4</commons.io.version>

<oshi.core.version>3.9.1</oshi.core.version>

<clickhouse.jdbc.version>0.1.52</clickhouse.jdbc.version>

<mssql.jdbc.version>6.1.0.jre8</mssql.jdbc.version>

<presto.jdbc.version>0.238.1</presto.jdbc.version>

<spotbugs.version>3.1.12</spotbugs.version>

<checkstyle.version>3.1.2</checkstyle.version>

<zookeeper.version>3.4.14</zookeeper.version>

<curator.test>2.12.0</curator.test>

<frontend-maven-plugin.version>1.6</frontend-maven-plugin.version>

<maven-compiler-plugin.version>3.3</maven-compiler-plugin.version>

<maven-assembly-plugin.version>3.1.0</maven-assembly-plugin.version>

<maven-release-plugin.version>2.5.3</maven-release-plugin.version>

<maven-javadoc-plugin.version>2.10.3</maven-javadoc-plugin.version>

<maven-source-plugin.version>2.4</maven-source-plugin.version>

<maven-surefire-plugin.version>2.22.1</maven-surefire-plugin.version>

<maven-dependency-plugin.version>3.1.1</maven-dependency-plugin.version>

<rpm-maven-plugion.version>2.2.0</rpm-maven-plugion.version>

<jacoco.version>0.8.4</jacoco.version>

<jcip.version>1.0</jcip.version>

<maven.deploy.skip>false</maven.deploy.skip>

<cobertura-maven-plugin.version>2.7</cobertura-maven-plugin.version>

<mockito.version>2.21.0</mockito.version>

<powermock.version>2.0.2</powermock.version>

<servlet-api.version>2.5</servlet-api.version>

<swagger.version>1.9.3</swagger.version>

<springfox.version>2.9.2</springfox.version>

<swagger-models.version>1.5.24</swagger-models.version>

<guava-retry.version>2.0.0</guava-retry.version>

<protostuff.version>1.7.2</protostuff.version>

<reflections.version>0.9.12</reflections.version>

<byte-buddy.version>1.9.16</byte-buddy.version>

<java-websocket.version>1.5.1</java-websocket.version>

<py4j.version>0.10.9</py4j.version>

<auto-service.version>1.0.1</auto-service.version>

<jacoco.skip>false</jacoco.skip>

<netty.version>4.1.53.Final</netty.version>

<maven-jar-plugin.version>3.2.0</maven-jar-plugin.version>

[client] # 客户端设置，即客户端默认的连接参数

port = 3306 # 默认连接端口

socket = /opt/dolphin/mysql/3306/tmp/mysql.sock # 用于本地连接的socket套接字，mysqld守护进程生成了这个文件

[mysqld] # 服务端基本设置

# 基础设置

server-id = 1 # Mysql服务的唯一编号 每个mysql服务Id需唯一

port = 3306 # MySQL监听端口

basedir = /opt/dolphin/mysql # MySQL安装根目录

datadir = /opt/dolphin/mysql/3306/data # MySQL数据文件所在位置

tmpdir = /opt/dolphin/mysql/3306/tmp # 临时目录，比如load data infile会用到

socket = /opt/dolphin/mysql/3306/tmp/mysql.sock # 为MySQL客户端程序和服务器之间的本地通讯指定一个套接字文件

pid-file = /opt/dolphin/mysql/3306/log/mysql.pid # pid文件所在目录

#skip_name_resolve = 1 # 只能用IP地址检查客户端的登录，不用主机名

character-set-server = utf8mb4 # 数据库默认字符集,主流字符集支持一些特殊表情符号（特殊表情符占用4个字节）

transaction_isolation = READ-COMMITTED # 事务隔离级别，默认为可重复读，MySQL默认可重复读级别

collation-server = utf8mb4_general_ci # 数据库字符集对应一些排序等规则，注意要和character-set-server对应

init_connect='SET NAMES utf8mb4' # 设置client连接mysql时的字符集,防止乱码

lower_case_table_names = 1 # 是否对sql语句大小写敏感，1表示不敏感

max_connections = 400 # 最大连接数

max_connect_errors = 1000 # 最大错误连接数

explicit_defaults_for_timestamp = true # TIMESTAMP如果没有显示声明NOT NULL，允许NULL值

max_allowed_packet = 128M # SQL数据包发送的大小，如果有BLOB对象建议修改成1G

interactive_timeout = 1800 # MySQL连接闲置超过一定时间后(单位：秒)将会被强行关闭

wait_timeout = 1800 # MySQL默认的wait_timeout值为8个小时, interactive_timeout参数需要同时配置才能生效

tmp_table_size = 16M # 内部内存临时表的最大值 ，设置成128M；比如大数据量的group by ,order by时可能用到临时表；超过了这个值将写入磁盘，系统IO压力增大

#

# 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"

ips="ht-28-tdh82,ht-28-tdh83"

# 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"

masters="ht-28-tdh84"

# 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="ht-28-tdh82:default,ht-28-tdh83: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="ht-28-tdh84"

# 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="ht-28-tdh84"

# 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"

pythonGatewayServers="ht-28-tdh84"

# 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)

installPath="/opt/dolphin/apache-dolphinscheduler-2.0.2-bin"

# 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="dolphin"

# The directory to store local data for all machine we config above. Make sure user `deployUser` have permissions to read and write this directory.

dataBasedirPath="/opt/dolphin/apache-dolphinscheduler-2.0.2-bin/tmp"

# ---------------------------------------------------------

# 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/java/jdk1.8.0_144"

# 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``.

DATABASE_TYPE=${DATABASE_TYPE:-"mysql"}

# Spring datasource url, following <HOST>:<PORT>/<database>?<parameter> format, If you using mysql, you could use jdbc

# string jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8 as example

SPRING_DATASOURCE_URL=${SPRING_DATASOURCE_URL:-"jdbc:mysql://localhost:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8"}

# Spring datasource username

SPRING_DATASOURCE_USERNAME=${SPRING_DATASOURCE_USERNAME:-"dolphin"}

# Spring datasource password

SPRING_DATASOURCE_PASSWORD=${SPRING_DATASOURCE_PASSWORD:-"dolphin"}

# ---------------------------------------------------------

# Registry Server

# ---------------------------------------------------------

# Registry Server plugin name, should be a substring of `registryPluginDir`, DolphinScheduler use this for verifying configuration consistency

registryPluginName="zookeeper"

# Registry Server address.

registryServers="198.28.1.81:2181,198.28.1.82:2181,198.28.1.83:2181"

# The root of zookeeper, for now DolphinScheduler default registry server is zookeeper.

zkRoot="/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

resourceStorageType="NONE"

# 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

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

defaultFS="hdfs://198.28.1.81:8020"

# 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

yarnHaIps="192.168.xx.xx,192.168.xx.xx"

# 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 re

sourcemanager hostname

singleYarnIp="yarnIp1"

# 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

kerberosStartUp="false"

# kdc krb5 config file path

krb5ConfPath="$installPath/conf/krb5.conf"

# keytab username,watch out the @ sign should followd by \\

keytabUserName="hdfs"

# username keytab path

keytabPath="$installPath/conf/hdfs.keytab"

# kerberos expire time, the unit is hour

kerberosExpireTime="2"

# use sudo or not

sudoEnable="true"

# worker tenant auto create

workerTenantAutoCreate="false"

#

# 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.

#

export HADOOP_HOME=/opt/soft/hadoop

export HADOOP_CONF_DIR=/opt/soft/hadoop/etc/hadoop

export SPARK_HOME1=/opt/soft/spark1

export SPARK_HOME2=/opt/soft/spark2

export PYTHON_HOME=/opt/soft/python

export JAVA_HOME=/usr/java/jdk1.8.0_144

export HIVE_HOME=/opt/soft/hive

export FLINK_HOME=/opt/soft/flink

export DATAX_HOME=/opt/soft/datax

export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$SPARK_HOME2/bin:$PYTHON_HOME/bin:$JAVA_HOME/bin:$HIVE_HOME/bin:$FLINK_HOME/bin:$DATAX_HOME/bin:$PATH