[1.3.5-prepare][Improvement][Docker] Sync docker conf templates to the latest conf properties and update readme (#4684)

docker/README.md

@@ -0,0 +1 @@
+# Dolphin Scheduler for Docker

docker/build/README.md

@@ -162,12 +162,40 @@ This environment variable sets the runtime environment for task. The default val
 
 User data directory path, self configuration, please make sure the directory exists and have read write permissions. The default value is `/tmp/dolphinscheduler`
 
+**`RESOURCE_STORAGE_TYPE`**
+
+This environment variable sets resource storage type for dolphinscheduler like `HDFS`, `S3`, `NONE`. The default value is `HDFS`.
+
+**`RESOURCE_UPLOAD_PATH`**
+
+This environment variable sets resource store path on HDFS/S3 for resource storage. The default value is `/dolphinscheduler`.
+
+**`FS_DEFAULT_FS`**
+
+This environment variable sets fs.defaultFS for resource storage like `file:///`, `hdfs://mycluster:8020` or `s3a://dolphinscheduler`. The default value is `file:///`.
+
+**`FS_S3A_ENDPOINT`**
+
+This environment variable sets s3 endpoint for resource storage. The default value is `s3.xxx.amazonaws.com`.
+
+**`FS_S3A_ACCESS_KEY`**
+
+This environment variable sets s3 access key for resource storage. The default value is `xxxxxxx`.
+
+**`FS_S3A_SECRET_KEY`**
+
+This environment variable sets s3 secret key for resource storage. The default value is `xxxxxxx`.
+
 **`ZOOKEEPER_QUORUM`**
 
 This environment variable sets zookeeper quorum for `master-server` and `worker-serverr`. The default value is `127.0.0.1:2181`.
 
 **Note**: You must be specify it when start a standalone dolphinscheduler server. Like `master-server`, `worker-server`.
 
+**`ZOOKEEPER_ROOT`**
+
+This environment variable sets zookeeper root directory for dolphinscheduler. The default value is `/dolphinscheduler`.
+
 **`MASTER_EXEC_THREADS`**
 
 This environment variable sets exec thread num for `master-server`. The default value is `100`.
@@ -208,10 +236,6 @@ This environment variable sets exec thread num for `worker-server`. The default
 
 This environment variable sets heartbeat interval for `worker-server`. The default value is `10`.
 
-**`WORKER_FETCH_TASK_NUM`**
-
-This environment variable sets fetch task num for `worker-server`. The default value is `3`.
-
 **`WORKER_MAX_CPULOAD_AVG`**
 
 This environment variable sets max cpu load avg for `worker-server`. The default value is `100`.

docker/build/README_zh_CN.md

@@ -162,12 +162,40 @@ Dolphin Scheduler映像使用了几个容易遗漏的环境变量。虽然这些
 
 用户数据目录, 用户自己配置, 请确保这个目录存在并且用户读写权限， 默认值 `/tmp/dolphinscheduler`。
 
+**`RESOURCE_STORAGE_TYPE`**
+
+配置`dolphinscheduler`的资源存储类型，可选项为 `HDFS`、`S3`、`NONE`，默认值 `HDFS`。
+
+**`RESOURCE_UPLOAD_PATH`**
+
+配置`HDFS/S3`上的资源存储路径，默认值 `/dolphinscheduler`。
+
+**`FS_DEFAULT_FS`**
+
+配置资源存储的文件系统协议，如 `file:///`, `hdfs://mycluster:8020` or `s3a://dolphinscheduler`，默认值 `file:///`。
+
+**`FS_S3A_ENDPOINT`**
+
+当`RESOURCE_STORAGE_TYPE=S3`时，需要配置`S3`的访问路径，默认值 `s3.xxx.amazonaws.com`。
+
+**`FS_S3A_ACCESS_KEY`**
+
+当`RESOURCE_STORAGE_TYPE=S3`时，需要配置`S3`的`s3 access key`，默认值 `xxxxxxx`。
+
+**`FS_S3A_SECRET_KEY`**
+
+当`RESOURCE_STORAGE_TYPE=S3`时，需要配置`S3`的`s3 secret key`，默认值 `xxxxxxx`。
+
 **`ZOOKEEPER_QUORUM`**
 
 配置`master-server`和`worker-serverr`的`Zookeeper`地址, 默认值 `127.0.0.1:2181`。
 
 **注意**: 当运行`dolphinscheduler`中`master-server`、`worker-server`这些服务时，必须指定这个环境变量，以便于你更好的搭建分布式服务。
 
+**`ZOOKEEPER_ROOT`**
+
+配置`dolphinscheduler`在`zookeeper`中数据存储的根目录，默认值 `/dolphinscheduler`。
+
 **`MASTER_EXEC_THREADS`**
 
 配置`master-server`中的执行线程数量，默认值 `100`。
@@ -208,10 +236,6 @@ Dolphin Scheduler映像使用了几个容易遗漏的环境变量。虽然这些
 
 配置`worker-server`中的心跳交互时间，默认值 `10`。
 
-**`WORKER_FETCH_TASK_NUM`**
-
-配置`worker-server`中的获取任务的数量，默认值 `3`。
-
 **`WORKER_MAX_CPULOAD_AVG`**
 
 配置`worker-server`中的CPU中的最大`load average`值，默认值 `100`。

docker/build/conf/dolphinscheduler/alert.properties.tpl

@@ -14,11 +14,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+
 #alert type is EMAIL/SMS
 alert.type=EMAIL
 
-# alter msg template, default is html template
-#alert.template=html
 # mail server configuration
 mail.protocol=SMTP
 mail.server.host=${MAIL_SERVER_HOST}
@@ -46,5 +45,4 @@ enterprise.wechat.push.url=https://qyapi.weixin.qq.com/cgi-bin/message/send?acce
 enterprise.wechat.team.send.msg={\"toparty\":\"$toParty\",\"agentid\":\"$agentId\",\"msgtype\":\"text\",\"text\":{\"content\":\"$msg\"},\"safe\":\"0\"}
 enterprise.wechat.user.send.msg={\"touser\":\"$toUser\",\"agentid\":\"$agentId\",\"msgtype\":\"markdown\",\"markdown\":{\"content\":\"$msg\"}}
 
-
-
+plugin.dir=/Users/xx/your/path/to/plugin/dir

docker/build/conf/dolphinscheduler/application-api.properties.tpl

@@ -21,17 +21,19 @@ server.port=12345
 # session config
 server.servlet.session.timeout=7200
 
-# servlet config
 server.servlet.context-path=/dolphinscheduler/
 
 # file size limit for upload
 spring.servlet.multipart.max-file-size=1024MB
 spring.servlet.multipart.max-request-size=1024MB
 
+# enable response compression
+server.compression.enabled=true
+server.compression.mime-types=text/html,text/xml,text/plain,text/css,text/javascript,application/javascript,application/json,application/xml
+
 # post content
 server.jetty.max-http-post-size=5000000
 
-# i18n
 spring.messages.encoding=UTF-8
 
 #i18n classpath folder , file prefix messages， if have many files, use "," seperator
@@ -39,7 +41,3 @@ spring.messages.basename=i18n/messages
 
 # Authentication types (supported types: PASSWORD)
 security.authentication.type=PASSWORD
-
-
-
-

docker/build/conf/dolphinscheduler/common.properties.tpl

@@ -15,35 +15,26 @@
 # limitations under the License.
 #
 
-#============================================================================
-# System
-#============================================================================
-# system env path. self configuration, please make sure the directory and file exists and have read write execute permissions
-dolphinscheduler.env.path=${DOLPHINSCHEDULER_ENV_PATH}
-
-# user data directory path, self configuration, please make sure the directory exists and have read write permissions
-data.basedir.path=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH}
-
-# resource upload startup type : HDFS,S3,NONE
+# resource storage type : HDFS,S3,NONE
 resource.storage.type=${RESOURCE_STORAGE_TYPE}
 
-#============================================================================
-# HDFS
-#============================================================================
 # resource store on HDFS/S3 path, resource file will store to this hadoop hdfs path, self configuration, please make sure the directory exists on hdfs and have read write permissions。"/dolphinscheduler" is recommended
 resource.upload.path=${RESOURCE_UPLOAD_PATH}
 
+# user data local directory path, please make sure the directory exists and have read write permissions
+data.basedir.path=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH}
+
 # whether kerberos starts
-#hadoop.security.authentication.startup.state=false
+hadoop.security.authentication.startup.state=false
 
 # java.security.krb5.conf path
-#java.security.krb5.conf.path=/opt/krb5.conf
+java.security.krb5.conf.path=/opt/krb5.conf
 
-# loginUserFromKeytab user
-#login.user.keytab.username=hdfs-mycluster@ESZ.COM
+# login user from keytab username
+login.user.keytab.username=hdfs-mycluster@ESZ.COM
 
-# loginUserFromKeytab path
-#login.user.keytab.path=/opt/hdfs.headless.keytab
+# login user from keytab path
+login.user.keytab.path=/opt/hdfs.headless.keytab
 
 #resource.view.suffixs
 #resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties
@@ -51,28 +42,25 @@ resource.upload.path=${RESOURCE_UPLOAD_PATH}
 # if resource.storage.type=HDFS, the user need to have permission to create directories under the HDFS root path
 hdfs.root.user=hdfs
 
-# kerberos expire time
-kerberos.expire.time=7
-
-#============================================================================
-# S3
-#============================================================================
-# if resource.storage.type=S3，the value like: s3a://dolphinscheduler ; if resource.storage.type=HDFS, When namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
+# if resource.storage.type=S3, the value like: s3a://dolphinscheduler ; if resource.storage.type=HDFS, When namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
 fs.defaultFS=${FS_DEFAULT_FS}
 
-# if resource.storage.type=S3，s3 endpoint
+# if resource.storage.type=S3, s3 endpoint
 fs.s3a.endpoint=${FS_S3A_ENDPOINT}
 
-# if resource.storage.type=S3，s3 access key
+# if resource.storage.type=S3, s3 access key
 fs.s3a.access.key=${FS_S3A_ACCESS_KEY}
 
-# if resource.storage.type=S3，s3 secret key
+# if resource.storage.type=S3, s3 secret key
 fs.s3a.secret.key=${FS_S3A_SECRET_KEY}
 
-# if not use hadoop resourcemanager, please keep default value; if resourcemanager HA enable, please type the HA ips ; if resourcemanager is single, make this value empty  TODO
+# if resourcemanager HA enable, please type the HA ips ; if resourcemanager is single, make this value empty
 yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
 
-# If resourcemanager HA enable or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ark1 to actual resourcemanager hostname.
-yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s
-
+# if resourcemanager HA enable 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://ds1:8088/ws/v1/cluster/apps/%s
 
+# system env path
+dolphinscheduler.env.path=${DOLPHINSCHEDULER_ENV_PATH}
+development.state=false
+kerberos.expire.time=7

docker/build/conf/dolphinscheduler/datasource.properties.tpl

@@ -15,15 +15,12 @@
 # limitations under the License.
 #
 
-# db
+# postgresql
 spring.datasource.driver-class-name=${DATABASE_DRIVER}
 spring.datasource.url=jdbc:${DATABASE_TYPE}://${DATABASE_HOST}:${DATABASE_PORT}/${DATABASE_DATABASE}?${DATABASE_PARAMS}
 spring.datasource.username=${DATABASE_USERNAME}
 spring.datasource.password=${DATABASE_PASSWORD}
 
-## base spring data source configuration todo need to remove
-#spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
-
 # connection configuration
 #spring.datasource.initialSize=5
 # min connection number
@@ -63,4 +60,4 @@ spring.datasource.password=${DATABASE_PASSWORD}
 
 # open PSCache, specify count PSCache for every connection
 #spring.datasource.poolPreparedStatements=true
-#spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
+#spring.datasource.maxPoolPreparedStatementPerConnectionSize=20

docker/build/conf/dolphinscheduler/master.properties.tpl

@@ -21,6 +21,9 @@ master.exec.threads=${MASTER_EXEC_THREADS}
 # master execute task number in parallel
 master.exec.task.num=${MASTER_EXEC_TASK_NUM}
 
+# master dispatch task number
+#master.dispatch.task.num = 3
+
 # master heartbeat interval
 master.heartbeat.interval=${MASTER_HEARTBEAT_INTERVAL}
 
@@ -37,4 +40,4 @@ master.max.cpuload.avg=${MASTER_MAX_CPULOAD_AVG}
 master.reserved.memory=${MASTER_RESERVED_MEMORY}
 
 # master listen port
-#master.listen.port=${MASTER_LISTEN_PORT}
+master.listen.port=${MASTER_LISTEN_PORT}

docker/build/conf/dolphinscheduler/quartz.properties.tpl

@@ -51,4 +51,4 @@
 #============================================================================
 # Configure Datasources
 #============================================================================
-#org.quartz.dataSource.myDs.connectionProvider.class = org.apache.dolphinscheduler.service.quartz.DruidConnectionProvider
+#org.quartz.dataSource.myDs.connectionProvider.class = org.apache.dolphinscheduler.service.quartz.DruidConnectionProvider

docker/build/conf/dolphinscheduler/worker.properties.tpl

@@ -21,17 +21,14 @@ worker.exec.threads=${WORKER_EXEC_THREADS}
 # worker heartbeat interval
 worker.heartbeat.interval=${WORKER_HEARTBEAT_INTERVAL}
 
-# submit the number of tasks at a time
-worker.fetch.task.num=${WORKER_FETCH_TASK_NUM}
-
-# only less than cpu avg load, worker server can work. default value : the number of cpu cores * 2
+# only less than cpu avg load, worker server can work. default value -1: the number of cpu cores * 2
 worker.max.cpuload.avg=${WORKER_MAX_CPULOAD_AVG}
 
 # only larger than reserved memory, worker server can work. default value : physical memory * 1/6, unit is G.
 worker.reserved.memory=${WORKER_RESERVED_MEMORY}
 
 # worker listener port
-#worker.listen.port=${WORKER_LISTEN_PORT}
+worker.listen.port=${WORKER_LISTEN_PORT}
 
-# default worker group
-#worker.group=${WORKER_GROUP}
+# default worker group,if this worker belongs different groups,you can config the following like that 'worker.groups=default,test'
+worker.group=${WORKER_GROUP}

docker/build/conf/dolphinscheduler/zookeeper.properties.tpl

@@ -26,4 +26,4 @@ zookeeper.dolphinscheduler.root=${ZOOKEEPER_ROOT}
 #zookeeper.connection.timeout=30000
 #zookeeper.retry.base.sleep=100
 #zookeeper.retry.max.sleep=30000
-#zookeeper.retry.maxtime=10
+#zookeeper.retry.maxtime=10

docker/build/conf/zookeeper/zoo.cfg

@@ -1,45 +0,0 @@
-#
-# 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.
-#
-
-# The number of milliseconds of each tick
-tickTime=2000
-# The number of ticks that the initial 
-# synchronization phase can take
-initLimit=10
-# The number of ticks that can pass between 
-# sending a request and getting an acknowledgement
-syncLimit=5
-# the directory where the snapshot is stored.
-# do not use /tmp for storage, /tmp here is just 
-# example sakes.
-dataDir=/tmp/zookeeper
-# the port at which the clients will connect
-clientPort=2181
-# the maximum number of client connections.
-# increase this if you need to handle more clients
-#maxClientCnxns=60
-#
-# Be sure to read the maintenance section of the 
-# administrator guide before turning on autopurge.
-#
-# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
-#
-# The number of snapshots to retain in dataDir
-#autopurge.snapRetainCount=3
-# Purge task interval in hours
-# Set to "0" to disable auto purge feature
-#autopurge.purgeInterval=1

docker/build/startup-init-conf.sh

@@ -39,7 +39,7 @@ export DATABASE_PARAMS=${DATABASE_PARAMS:-"characterEncoding=utf8"}
 export DOLPHINSCHEDULER_ENV_PATH=${DOLPHINSCHEDULER_ENV_PATH:-"/opt/dolphinscheduler/conf/env/dolphinscheduler_env.sh"}
 export DOLPHINSCHEDULER_DATA_BASEDIR_PATH=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH:-"/tmp/dolphinscheduler"}
 export RESOURCE_STORAGE_TYPE=${RESOURCE_STORAGE_TYPE:-"HDFS"}
-export RESOURCE_UPLOAD_PATH=${RESOURCE_UPLOAD_PATH:-"/ds"}
+export RESOURCE_UPLOAD_PATH=${RESOURCE_UPLOAD_PATH:-"/dolphinscheduler"}
 export FS_DEFAULT_FS=${FS_DEFAULT_FS:-"file:///"}
 export FS_S3A_ENDPOINT=${FS_S3A_ENDPOINT:-"s3.xxx.amazonaws.com"}
 export FS_S3A_ACCESS_KEY=${FS_S3A_ACCESS_KEY:-"xxxxxxx"}
@@ -68,7 +68,6 @@ export MASTER_LISTEN_PORT=${MASTER_LISTEN_PORT:-"5678"}
 #============================================================================
 export WORKER_EXEC_THREADS=${WORKER_EXEC_THREADS:-"100"}
 export WORKER_HEARTBEAT_INTERVAL=${WORKER_HEARTBEAT_INTERVAL:-"10"}
-export WORKER_FETCH_TASK_NUM=${WORKER_FETCH_TASK_NUM:-"3"}
 export WORKER_MAX_CPULOAD_AVG=${WORKER_MAX_CPULOAD_AVG:-"100"}
 export WORKER_RESERVED_MEMORY=${WORKER_RESERVED_MEMORY:-"0.1"}
 export WORKER_LISTEN_PORT=${WORKER_LISTEN_PORT:-"1234"}
@@ -77,7 +76,7 @@ export WORKER_GROUP=${WORKER_GROUP:-"default"}
 #============================================================================
 # Alert Server
 #============================================================================
-# XLS FILE
+# xls file
 export XLS_FILE_PATH=${XLS_FILE_PATH:-"/tmp/xls"}
 # mail
 export MAIL_SERVER_HOST=${MAIL_SERVER_HOST:-""}

docker/docker-swarm/docker-compose.yml

@@ -169,7 +169,6 @@ services:
       TZ: Asia/Shanghai
       WORKER_EXEC_THREADS: "100"
       WORKER_HEARTBEAT_INTERVAL: "10"
-      WORKER_FETCH_TASK_NUM: "3"
       WORKER_MAX_CPULOAD_AVG: "100"
       WORKER_RESERVED_MEMORY: "0.1"
       WORKER_GROUP: "default"

docker/docker-swarm/docker-stack.yml

@@ -163,7 +163,6 @@ services:
       TZ: Asia/Shanghai
       WORKER_EXEC_THREADS: "100"
       WORKER_HEARTBEAT_INTERVAL: "10"
-      WORKER_FETCH_TASK_NUM: "3"
       WORKER_MAX_CPULOAD_AVG: "100"
       WORKER_RESERVED_MEMORY: "0.1"
       WORKER_GROUP: "default"

dolphinscheduler-alert/src/main/resources/alert.properties

@@ -46,4 +46,3 @@ enterprise.wechat.enable=false
 #enterprise.wechat.user.send.msg={\"touser\":\"$toUser\",\"agentid\":\"$agentId\",\"msgtype\":\"markdown\",\"markdown\":{\"content\":\"$msg\"}}
 
 plugin.dir=/Users/xx/your/path/to/plugin/dir
-

dolphinscheduler-api/src/main/resources/application-api.properties

@@ -31,7 +31,7 @@ spring.servlet.multipart.max-request-size=1024MB
 server.compression.enabled=true
 server.compression.mime-types=text/html,text/xml,text/plain,text/css,text/javascript,application/javascript,application/json,application/xml
 
-#post content
+# post content
 server.jetty.max-http-post-size=5000000
 
 spring.messages.encoding=UTF-8
@@ -41,7 +41,3 @@ spring.messages.basename=i18n/messages
 
 # Authentication types (supported types: PASSWORD)
 security.authentication.type=PASSWORD
-
-
-
-

dolphinscheduler-common/src/main/resources/common.properties

@@ -33,7 +33,7 @@ java.security.krb5.conf.path=/opt/krb5.conf
 # login user from keytab username
 login.user.keytab.username=hdfs-mycluster@ESZ.COM
 
-# loginUserFromKeytab path
+# login user from keytab path
 login.user.keytab.path=/opt/hdfs.headless.keytab
 
 #resource.view.suffixs
@@ -42,16 +42,16 @@ login.user.keytab.path=/opt/hdfs.headless.keytab
 # if resource.storage.type=HDFS, the user need to have permission to create directories under the HDFS root path
 hdfs.root.user=hdfs
 
-# if resource.storage.type=S3，the value like: s3a://dolphinscheduler ; if resource.storage.type=HDFS, When namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
+# if resource.storage.type=S3, the value like: s3a://dolphinscheduler ; if resource.storage.type=HDFS, When namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
 fs.defaultFS=hdfs://mycluster:8020
 
-# if resource.storage.type=S3，s3 endpoint
+# if resource.storage.type=S3, s3 endpoint
 fs.s3a.endpoint=http://192.168.xx.xx:9010
 
-# if resource.storage.type=S3，s3 access key
+# if resource.storage.type=S3, s3 access key
 fs.s3a.access.key=A3DXS30FO22544RE
 
-# if resource.storage.type=S3，s3 secret key
+# if resource.storage.type=S3, s3 secret key
 fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
 
 # if resourcemanager HA enable, please type the HA ips ; if resourcemanager is single, make this value empty

dolphinscheduler-dao/src/main/resources/datasource.properties

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-        
+
 # postgresql
 spring.datasource.driver-class-name=org.postgresql.Driver
 spring.datasource.url=jdbc:postgresql://localhost:5432/dolphinscheduler

dolphinscheduler-server/src/main/resources/master.properties

@@ -21,7 +21,6 @@
 # master execute task number in parallel
 #master.exec.task.num=20
 
-
 # master dispatch task number
 #master.dispatch.task.num = 3
 
@@ -34,7 +33,6 @@
 # master commit task interval
 #master.task.commit.interval=1000
 
-
 # only less than cpu avg load, master server can work.  default value -1 : the number of cpu cores * 2
 #master.max.cpuload.avg=-1
 
@@ -42,4 +40,4 @@
 #master.reserved.memory=0.3
 
 # master listen port
-#master.listen.port=5678
+#master.listen.port=5678

dolphinscheduler-server/src/main/resources/worker.properties

@@ -28,7 +28,7 @@
 #worker.reserved.memory=0.3
 
 # worker listener port
-#worker.listen.port: 1234
+#worker.listen.port=1234
 
-# default worker group,if this worker belongs different groups,you can config the following like that `worker.groups=default,test`
+# default worker group,if this worker belongs different groups,you can config the following like that 'worker.groups=default,test'
 worker.groups=default

dolphinscheduler-service/src/main/resources/quartz.properties

@@ -51,4 +51,4 @@
 #============================================================================
 # Configure Datasources  
 #============================================================================
-#org.quartz.dataSource.myDs.connectionProvider.class = org.apache.dolphinscheduler.service.quartz.DruidConnectionProvider
+#org.quartz.dataSource.myDs.connectionProvider.class = org.apache.dolphinscheduler.service.quartz.DruidConnectionProvider

dolphinscheduler-service/src/main/resources/zookeeper.properties

@@ -26,4 +26,4 @@ zookeeper.quorum=localhost:2181
 #zookeeper.connection.timeout=30000
 #zookeeper.retry.base.sleep=100
 #zookeeper.retry.max.sleep=30000
-#zookeeper.retry.maxtime=10
+#zookeeper.retry.maxtime=10