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78 lines
3.3 KiB
78 lines
3.3 KiB
# |
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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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# resource storage type : HDFS, S3, NONE |
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resource.storage.type=${RESOURCE_STORAGE_TYPE} |
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# resource store on HDFS/S3 path, resource file will store to this hadoop hdfs path, self configuration, please make sure the directory exists on hdfs and have read write permissions。"/dolphinscheduler" is recommended |
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resource.upload.path=${RESOURCE_UPLOAD_PATH} |
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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=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH} |
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# whether kerberos starts |
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hadoop.security.authentication.startup.state=false |
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# java.security.krb5.conf path |
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java.security.krb5.conf.path=/opt/krb5.conf |
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# login user from keytab username |
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login.user.keytab.username=hdfs-mycluster@ESZ.COM |
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# login user from keytab path |
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login.user.keytab.path=/opt/hdfs.headless.keytab |
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#resource.view.suffixs |
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#resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js |
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# if resource.storage.type=HDFS, the user need to have permission to create directories under the HDFS root path |
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hdfs.root.user=hdfs |
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# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS, When namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir |
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fs.defaultFS=${FS_DEFAULT_FS} |
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# if resource.storage.type=S3, s3 endpoint |
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fs.s3a.endpoint=${FS_S3A_ENDPOINT} |
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# if resource.storage.type=S3, s3 access key |
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fs.s3a.access.key=${FS_S3A_ACCESS_KEY} |
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# if resource.storage.type=S3, s3 secret key |
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fs.s3a.secret.key=${FS_S3A_SECRET_KEY} |
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# if resourcemanager HA enable, please type the HA ips ; if resourcemanager is single, make this value empty |
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yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx |
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# if resourcemanager HA enable or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname. |
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yarn.application.status.address=http://ds1:8088/ws/v1/cluster/apps/%s |
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# job history status url when application number threshold is reached(default 10000,maybe it was set to 1000) |
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yarn.job.history.status.address=http://ds1:19888/ws/v1/history/mapreduce/jobs/%s |
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# system env path, If you want to set your own path, you need to set this env file to an absolute path |
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#dolphinscheduler.env.path=env/dolphinscheduler_env.sh |
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development.state=false |
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# kerberos tgt expire time, unit is hours |
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kerberos.expire.time=2 |
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# datasource encryption salt |
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datasource.encryption.enable=false |
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datasource.encryption.salt=!@#$%^&* |
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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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