shiliquan commented on issue #3813:
URL: 
https://github.com/apache/incubator-dolphinscheduler/issues/3813#issuecomment-748813271


   所有的配置都在这了 请看
   #
   # 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.
   #
   
   # resource.storage.type=HDFS
   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
   #
   # 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.
   #
   
   # resource.storage.type=HDFS
   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。"/dol
   phinscheduler" is recommended
   resource.upload.path=/home/dolphinscheduler/dolphinscheduler
   
   # user data local directory path, please make sure the directory exists and 
have read write permissions
   #data.basedir.path=/tmp/dolphinscheduler
   
   # whether kerberos starts
   hadoop.security.authentication.startup.state=true
   
   # java.security.krb5.conf.path=/opt/soft/dolphinscheduler/conf/krb5.conf
   java.security.krb5.conf.path=/opt/soft/dolphinscheduler/conf/krb5.conf
   
   # login user from keytab username
   [email protected]
   
   # loginUserFromKeytab path
   login.user.keytab.path=/opt/soft/dolphinscheduler/conf/dam.keytab
   
   #resource.view.suffixs
   #resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties
   
   # if resource.storage.type=HDFS
   hdfs.root.user=dolphinscheduler
   
   # if resource.storage.type=HDFS
   fs.defaultFS=hdfs://hdpv3testns1:8020
   
   # if resource.storage.type=HDFS
   fs.s3a.endpoint=
   
   # if resource.storage.type=HDFS
   fs.s3a.access.key=
   
   # if resource.storage.type=HDFS
   fs.s3a.secret.key=
   
   # if resourcemanager HA enable, please type the HA ips ; if resourcemanager 
is single, make this value empty
   yarn.resourcemanager.ha.rm.ids=xxxx,xxxx
   
   # 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://yarnIp1:8088/ws/v1/cluster/apps/%s
   
   # system env path
   #dolphinscheduler.env.path=env/dolphinscheduler_env.sh
   development.state=false
   kerberos.expire.time=24


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