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modify the configs of the dockerfile (#1020)

pull/2/head
khadgarmage 5 years ago committed by dailidong
parent
commit
b77d232dd6
  1. 95
      dockerfile/conf/dolphinscheduler/conf/application.properties
  2. 91
      dockerfile/conf/dolphinscheduler/conf/application.yml
  3. 5
      dockerfile/conf/dolphinscheduler/conf/application_alert.properties
  4. 4
      dockerfile/conf/dolphinscheduler/conf/application_master.properties
  5. 4
      dockerfile/conf/dolphinscheduler/conf/application_worker.properties
  6. 2
      dockerfile/conf/dolphinscheduler/conf/dao/data_source.properties
  7. 2
      dockerfile/conf/dolphinscheduler/conf/master.properties

95
dockerfile/conf/dolphinscheduler/conf/application.properties

@ -1,19 +1,88 @@
# server port
server.port=12345
# mysql
# url=jdbc:postgresql://192.168.220.154:5432/dolphinscheduler
# base spring data source configuration
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
#spring.datasource.driver-class-name=org.postgresql.Driver
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
spring.datasource.username=root
spring.datasource.password=root@123
# session config
server.servlet.session.timeout=7200
# connection configuration
spring.datasource.initialSize=5
# min connection number
spring.datasource.minIdle=5
# max connection number
spring.datasource.maxActive=50
server.servlet.context-path=/dolphinscheduler/
# max wait time for get a connection in milliseconds. if configuring maxWait, fair locks are enabled by default and concurrency efficiency decreases.
# If necessary, unfair locks can be used by configuring the useUnfairLock attribute to true.
spring.datasource.maxWait=60000
# file size limit for upload
spring.servlet.multipart.max-file-size=1024MB
spring.servlet.multipart.max-request-size=1024MB
# milliseconds for check to close free connections
spring.datasource.timeBetweenEvictionRunsMillis=60000
#post content
server.jetty.max-http-post-size=5000000
# the Destroy thread detects the connection interval and closes the physical connection in milliseconds if the connection idle time is greater than or equal to minEvictableIdleTimeMillis.
spring.datasource.timeBetweenConnectErrorMillis=60000
spring.messages.encoding=UTF-8
# the longest time a connection remains idle without being evicted, in milliseconds
spring.datasource.minEvictableIdleTimeMillis=300000
#i18n classpath folder , file prefix messages, if have many files, use "," seperator
spring.messages.basename=i18n/messages
#the SQL used to check whether the connection is valid requires a query statement. If validation Query is null, testOnBorrow, testOnReturn, and testWhileIdle will not work.
spring.datasource.validationQuery=SELECT 1 FROM DUAL
#check whether the connection is valid for timeout, in seconds
spring.datasource.validationQueryTimeout=3
# when applying for a connection, if it is detected that the connection is idle longer than time Between Eviction Runs Millis,
# validation Query is performed to check whether the connection is valid
spring.datasource.testWhileIdle=true
#execute validation to check if the connection is valid when applying for a connection
spring.datasource.testOnBorrow=true
#execute validation to check if the connection is valid when the connection is returned
spring.datasource.testOnReturn=false
spring.datasource.defaultAutoCommit=true
spring.datasource.keepAlive=true
# open PSCache, specify count PSCache for every connection
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
spring.datasource.spring.datasource.filters=stat,wall,log4j
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
#mybatis
mybatis-plus.mapper-locations=classpath*:/org.apache.dolphinscheduler.dao.mapper/*.xml
mybatis-plus.typeEnumsPackage=org.apache.dolphinscheduler.*.enums
#实体扫描,多个package用逗号或者分号分隔
mybatis-plus.typeAliasesPackage=org.apache.dolphinscheduler.dao.entity
#主键类型 AUTO:"数据库ID自增", INPUT:"用户输入ID", ID_WORKER:"全局唯一ID (数字类型唯一ID)", UUID:"全局唯一ID UUID";
mybatis-plus.global-config.db-config.id-type=AUTO
#字段策略 IGNORED:"忽略判断",NOT_NULL:"非 NULL 判断"),NOT_EMPTY:"非空判断"
mybatis-plus.global-config.db-config.field-strategy=NOT_NULL
#驼峰下划线转换
mybatis-plus.global-config.db-config.column-underline=true
mybatis-plus.global-config.db-config.logic-delete-value=-1
mybatis-plus.global-config.db-config.logic-not-delete-value=0
mybatis-plus.global-config.db-config.banner=false
#原生配置
mybatis-plus.configuration.map-underscore-to-camel-case=true
mybatis-plus.configuration.cache-enabled=false
mybatis-plus.configuration.call-setters-on-nulls=true
mybatis-plus.configuration.jdbc-type-for-null=null
# data quality analysis is not currently in use. please ignore the following configuration
# task record flag
task.record.flag=false
task.record.datasource.url=jdbc:mysql://127.0.0.1:3306/etl?characterEncoding=UTF-8
task.record.datasource.username=xx
task.record.datasource.password=xx
# Logger Config
logging.level.org.apache.dolphinscheduler.dao=debug

91
dockerfile/conf/dolphinscheduler/conf/application.yml

@ -1,91 +0,0 @@
# mysql
spring:
datasource:
url: jdbc:mysql://127.0.0.1:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8
username: root
password: root@123
#
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
spring.datasource.filters: stat,wall,log4j
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# jpa:
# hibernate:
# ddl-auto : update
# datasource:
# platform:
# continue-on-error: true
# druid:
# driver-class-name: org.postgresql.Driver
# url: jdbc:postgresql://192.168.220.154:5432/escheduler
#mybatis
mybatis-plus:
mapper-locations: classpath*:/org.apache.dolphinscheduler.dao.mapper/*.xml
typeEnumsPackage: org.apache.dolphinscheduler.*.enums
#实体扫描,多个package用逗号或者分号分隔
typeAliasesPackage: org.apache.dolphinscheduler.dao.entity
global-config:
#数据库相关配置
db-config:
#主键类型 AUTO:"数据库ID自增", INPUT:"用户输入ID", ID_WORKER:"全局唯一ID (数字类型唯一ID)", UUID:"全局唯一ID UUID";
id-type: AUTO
#字段策略 IGNORED:"忽略判断",NOT_NULL:"非 NULL 判断"),NOT_EMPTY:"非空判断"
field-strategy: NOT_NULL
#驼峰下划线转换
column-underline: true
logic-delete-value: -1
logic-not-delete-value: 0
banner: false
#原生配置
configuration:
map-underscore-to-camel-case: true
cache-enabled: false
call-setters-on-nulls: true
jdbc-type-for-null: 'null'
# Logger Config
logging:
level:
org.apache.dolphinscheduler.dao: debug
---
# master settings
spring:
profiles: master
server:
port: 5566
---
# worker settings
spring:
profiles: worker
server:
port: 7788
---
# alert settings
spring:
profiles: alert
server:
port: 7789

5
dockerfile/conf/dolphinscheduler/conf/application_alert.properties

@ -1,5 +0,0 @@
logging.config=classpath:alert_logback.xml
# server port
server.port=7789

4
dockerfile/conf/dolphinscheduler/conf/application_master.properties

@ -1,4 +0,0 @@
logging.config=classpath:master_logback.xml
# server port
server.port=5566

4
dockerfile/conf/dolphinscheduler/conf/application_worker.properties

@ -1,4 +0,0 @@
logging.config=classpath:worker_logback.xml
# server port
server.port=7788

2
dockerfile/conf/dolphinscheduler/conf/dao/data_source.properties

@ -1,7 +1,7 @@
# base spring data source configuration
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/escheduler?characterEncoding=UTF-8
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/dolphinscheduler?characterEncoding=UTF-8
spring.datasource.username=root
spring.datasource.password=root@123

2
dockerfile/conf/dolphinscheduler/conf/master.properties

@ -15,7 +15,7 @@ master.task.commit.interval=100
# only less than cpu avg load, master server can work. default value : the number of cpu cores * 2
master.max.cpuload.avg=100
#master.max.cpuload.avg=100
# only larger than reserved memory, master server can work. default value : physical memory * 1/10, unit is G.
master.reserved.memory=0.1

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