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95 lines
3.7 KiB
95 lines
3.7 KiB
3 years ago
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# user data local directory path, please make sure the directory exists and have read write permissions
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data.basedir.path=/tmp/dolphinscheduler
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# resource storage type: HDFS, S3, NONE
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resource.storage.type=HDFS
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# 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
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resource.upload.path=/dolphinscheduler
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# whether to startup kerberos
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hadoop.security.authentication.startup.state=false
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# java.security.krb5.conf path
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java.security.krb5.conf.path=/opt/krb5.conf
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# login user from keytab username
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login.user.keytab.username=hdfs-mycluster@ESZ.COM
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# login user from keytab path
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login.user.keytab.path=/opt/hdfs.headless.keytab
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# kerberos expire time, the unit is hour
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kerberos.expire.time=2
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# resource view suffixs
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#resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js
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# if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path
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hdfs.root.user=hdfs
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# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
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fs.defaultFS=hdfs://hdfs:8020
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# if resource.storage.type=S3, s3 endpoint
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fs.s3a.endpoint=http://192.168.xx.xx:9010
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# if resource.storage.type=S3, s3 access key
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fs.s3a.access.key=A3DXS30FO22544RE
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# if resource.storage.type=S3, s3 secret key
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fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
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# resourcemanager port, the default value is 8088 if not specified
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resource.manager.httpaddress.port=8088
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# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty
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yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
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# if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname
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yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s
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# job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)
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yarn.job.history.status.address=http://ds1:19888/ws/v1/history/mapreduce/jobs/%s
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# datasource encryption enable
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datasource.encryption.enable=false
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# datasource encryption salt
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datasource.encryption.salt=!@#$%^&*
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# use sudo or not, if set true, executing user is tenant user and deploy user needs sudo permissions; if set false, executing user is the deploy user and doesn't need sudo permissions
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sudo.enable=true
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# network interface preferred like eth0, default: empty
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#dolphin.scheduler.network.interface.preferred=
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# network IP gets priority, default: inner outer
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#dolphin.scheduler.network.priority.strategy=default
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# system env path
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#dolphinscheduler.env.path=env/dolphinscheduler_env.sh
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# development state
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development.state=false
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# rpc port
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alert.rpc.port=50052
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