# # 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. # #task queue implementation, default "zookeeper" dolphinscheduler.queue.impl=${TASK_QUEUE} #zookeeper cluster. multiple are separated by commas. eg. 192.168.xx.xx:2181,192.168.xx.xx:2181,192.168.xx.xx:2181 zookeeper.quorum=${ZOOKEEPER_QUORUM} #dolphinscheduler root directory zookeeper.dolphinscheduler.root=/dolphinscheduler #dolphinscheduler failover directory zookeeper.session.timeout=300 zookeeper.connection.timeout=300 zookeeper.retry.base.sleep=100 zookeeper.retry.max.sleep=30000 zookeeper.retry.maxtime=5 #============================================================================ # 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} #resource.view.suffixs resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties # is development state? default "false" development.state=true # resource upload startup type : HDFS,S3,NONE res.upload.startup.type=NONE #============================================================================ # HDFS #============================================================================ # Users who have permission to create directories under the HDFS root path hdfs.root.user=hdfs # data base dir, 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 data.store2hdfs.basepath=/dolphinscheduler # user data directory path, self configuration, please make sure the directory exists and have read write permissions data.basedir.path=/tmp/dolphinscheduler # directory path for user data download. self configuration, please make sure the directory exists and have read write permissions data.download.basedir.path=/tmp/dolphinscheduler/download # process execute directory. self configuration, please make sure the directory exists and have read write permissions process.exec.basepath=/tmp/dolphinscheduler/exec # whether kerberos starts hadoop.security.authentication.startup.state=false # java.security.krb5.conf path java.security.krb5.conf.path=/opt/krb5.conf # loginUserFromKeytab user login.user.keytab.username=hdfs-mycluster@ESZ.COM # loginUserFromKeytab path login.user.keytab.path=/opt/hdfs.headless.keytab #============================================================================ # S3 #============================================================================ # ha or single namenode,If namenode ha needs to copy core-site.xml and hdfs-site.xml # to the conf directory,support s3,for example : s3a://dolphinscheduler fs.defaultFS=hdfs://mycluster:8020 # s3 need,s3 endpoint fs.s3a.endpoint=http://192.168.199.91:9010 # s3 need,s3 access key fs.s3a.access.key=A3DXS30FO22544RE # s3 need,s3 secret key fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK #resourcemanager ha note this need ips , this empty if single yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx # If it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s