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