#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

#task queue implementation, default "zookeeper"
dolphinscheduler.queue.impl=${TASK_QUEUE}

#zookeeper cluster.  multiple are separated by commas.  eg. 192.168.xx.xx:2181,192.168.xx.xx:2181,192.168.xx.xx:2181
zookeeper.quorum=${ZOOKEEPER_QUORUM}
#dolphinscheduler root directory
zookeeper.dolphinscheduler.root=/dolphinscheduler
#dolphinscheduler failover directory
zookeeper.session.timeout=300
zookeeper.connection.timeout=300
zookeeper.retry.base.sleep=100
zookeeper.retry.max.sleep=30000
zookeeper.retry.maxtime=5

#============================================================================
# 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}
#resource.view.suffixs
resource.view.suffixs=txt,log,sh,conf,cfg,py,java,sql,hql,xml,properties
# is development state? default "false"
development.state=true

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

#============================================================================
# HDFS
#============================================================================
# Users who have permission to create directories under the HDFS root path
hdfs.root.user=hdfs
# 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
data.store2hdfs.basepath=/dolphinscheduler
# user data directory path, self configuration, please make sure the directory exists and have read write permissions
data.basedir.path=/tmp/dolphinscheduler
# directory path for user data download. self configuration, please make sure the directory exists and have read write permissions
data.download.basedir.path=/tmp/dolphinscheduler/download
# process execute directory. self configuration, please make sure the directory exists and have read write permissions
process.exec.basepath=/tmp/dolphinscheduler/exec
# 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

#============================================================================
# S3
#============================================================================
# ha or single namenode,If namenode ha needs to copy core-site.xml and hdfs-site.xml
# to the conf directory，support s3，for example : s3a://dolphinscheduler
fs.defaultFS=hdfs://mycluster:8020
# s3 need，s3 endpoint
fs.s3a.endpoint=http://192.168.199.91:9010
# s3 need，s3 access key
fs.s3a.access.key=A3DXS30FO22544RE
# s3 need，s3 secret key
fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
#resourcemanager ha note this need ips , this empty if single
yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
# If it is a single resourcemanager, you only need to configure one host name. If it is resourcemanager HA, the default configuration is fine
yarn.application.status.address=http://ark1:8088/ws/v1/cluster/apps/%s