DolphinScheduler/docker/build/conf/dolphinscheduler/common.properties.tpl

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#============================================================================
# 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}

# user data directory path, self configuration, please make sure the directory exists and have read write permissions
data.basedir.path=${DOLPHINSCHEDULER_DATA_BASEDIR_PATH}

# resource upload startup type : HDFS,S3,NONE
resource.storage.type=NONE

#============================================================================
# HDFS
#============================================================================
# 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
#resource.upload.path=/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

#resource.view.suffixs
#resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties

# if resource.storage.type=HDFS, the user need to have permission to create directories under the HDFS root path
hdfs.root.user=hdfs

# kerberos expire time
kerberos.expire.time=7

#============================================================================
# S3
#============================================================================
# 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
fs.defaultFS=hdfs://mycluster:8020

# if resource.storage.type=S3，s3 endpoint
#fs.s3a.endpoint=http://192.168.199.91:9010

# if resource.storage.type=S3，s3 access key
#fs.s3a.access.key=A3DXS30FO22544RE

# if resource.storage.type=S3，s3 secret key
#fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK

# 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
yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx

# 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.
yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s