# # 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,S3,NONE resource.storage.type=NONE # 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=/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=false # java.security.krb5.conf path 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.keytab.path=/opt/hdfs.headless.keytab #resource.view.suffixs #resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties # 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 fs.defaultFS=hdfs://mycluster:8020 # if resource.storage.type=S3,s3 endpoint fs.s3a.endpoint=http://192.168.199.91:9010 # if resource.storage.type=S3,s3 access key fs.s3a.access.key=A3DXS30FO22544RE # if resource.storage.type=S3,s3 secret key fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK # 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 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 ds1 to actual resourcemanager hostname. yarn.application.status.address=http://ds1:8088/ws/v1/cluster/apps/%s # system env path #dolphinscheduler.env.path=env/dolphinscheduler_env.sh development.state=false kerberos.expire.time=7