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simplify common config (#2613)

* update README about DolphinScheduler

* Update issue templates

* update

* regularize api pom xml
update rpc maven compile to 1.8

* regularize api pom xml

* change commons.lang3.StringUtils to common.utils.StringUtils

* update pom.xml

* update

* correct equals method

* jasper-runtime is needed when api server start

* jasper-runtime jar is needed when api server start

* combine logback config of master/worker/alert/api server to one logback.xml

* remove tomcat runtime jar

* add UT

* add license

* remove jasper-runtime jar, not need anymore

* sovle jar conflict, remove servlet-api 2.5 jar

* remove servlet 2.5

* add embedded database h2 and update embedded zookeeper

* delete logs

* add license

* change log level to INFO

* simplify and optimize config

* add development state

* simplify common config

Co-authored-by: lidongdai <escheduler@outlook.com>
Co-authored-by: dailidong <dolphinschedule@gmail.com>
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dailidong 5 years ago committed by GitHub
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  1. 18
      dolphinscheduler-common/src/main/resources/common.properties

18
dolphinscheduler-common/src/main/resources/common.properties

@ -19,22 +19,22 @@
resource.storage.type=NONE
# 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
#resource.upload.path=/dolphinscheduler
# user data local directory path, please make sure the directory exists and have read write permissions
#data.basedir.path=/tmp/dolphinscheduler
# whether kerberos starts
hadoop.security.authentication.startup.state=false
#hadoop.security.authentication.startup.state=false
# java.security.krb5.conf path
java.security.krb5.conf.path=/opt/krb5.conf
#java.security.krb5.conf.path=/opt/krb5.conf
# login user from keytab username
login.user.keytab.username=hdfs-mycluster@ESZ.COM
#login.user.keytab.username=hdfs-mycluster@ESZ.COM
# loginUserFromKeytab path
login.user.keytab.path=/opt/hdfs.headless.keytab
#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
@ -46,18 +46,18 @@ hdfs.root.user=hdfs
fs.defaultFS=hdfs://mycluster:8020
# if resource.storage.type=S3,s3 endpoint
fs.s3a.endpoint=http://192.168.199.91:9010
#fs.s3a.endpoint=http://192.168.199.91:9010
# if resource.storage.type=S3,s3 access key
fs.s3a.access.key=A3DXS30FO22544RE
#fs.s3a.access.key=A3DXS30FO22544RE
# if resource.storage.type=S3,s3 secret key
fs.s3a.secret.key=OloCLq3n+8+sdPHUhJ21XrSxTC+JK
#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
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.
# 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
# system env path

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