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- #
- # 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=${DOLPHINSCHEDULER_ENV_PATH}
- #resource.view.suffixs
- resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties
- # is development state? default "false"
- development.state=true
- # user data directory path, self configuration, please make sure the directory exists and have read write permissions
- data.basedir.path=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH}
- # directory path for user data download. self configuration, please make sure the directory exists and have read write permissions
- data.download.basedir.path=${DOLPHINSCHEDULER_DATA_DOWNLOAD_BASEDIR_PATH}
- # process execute directory. self configuration, please make sure the directory exists and have read write permissions
- process.exec.basepath=${DOLPHINSCHEDULER_PROCESS_EXEC_BASEPATH}
- # 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
- # 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
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