79 lines
3.5 KiB
Smarty
79 lines
3.5 KiB
Smarty
#
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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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#============================================================================
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# System
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#============================================================================
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# system env path. self configuration, please make sure the directory and file exists and have read write execute permissions
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dolphinscheduler.env.path=${DOLPHINSCHEDULER_ENV_PATH}
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# user data directory path, self configuration, please make sure the directory exists and have read write permissions
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data.basedir.path=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH}
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# resource upload startup type : HDFS,S3,NONE
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resource.storage.type=NONE
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#============================================================================
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# HDFS
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#============================================================================
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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 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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# loginUserFromKeytab user
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#login.user.keytab.username=hdfs-mycluster@ESZ.COM
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# loginUserFromKeytab 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,conf,cfg,py,java,sql,hql,xml,properties
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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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# kerberos expire time
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kerberos.expire.time=7
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#============================================================================
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# S3
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#============================================================================
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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=hdfs://mycluster:8020
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# if resource.storage.type=S3，s3 endpoint
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#fs.s3a.endpoint=http://192.168.199.91:9010
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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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# 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 TODO
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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 ark1 to actual resourcemanager hostname.
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yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s
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