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@@ -14,29 +14,61 @@
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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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# user data local directory path, please make sure the directory exists and have read write permissions
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data.basedir.path=/tmp/dolphinscheduler
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-# resource storage type: HDFS, S3, NONE
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+
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+# resource view suffixs
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+#resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js
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+
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+# resource storage type: HDFS, S3, OSS, NONE
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resource.storage.type=S3
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-# resource store on HDFS/S3 path, resource file will store to this hadoop hdfs path, self configuration
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-# 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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+# resource store on HDFS/S3 path, resource file will store to this base path, self configuration, please make sure the directory exists on hdfs and have read write permissions. "/dolphinscheduler" is recommended
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+resource.storage.upload.base.path=/dolphinscheduler
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+
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+# The AWS access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required
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+resource.aws.access.key.id=accessKey123
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+# The AWS secret access key. if resource.storage.type=S3 or use EMR-Task, This configuration is required
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+resource.aws.secret.access.key=secretKey123
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+# The AWS Region to use. if resource.storage.type=S3 or use EMR-Task, This configuration is required
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+resource.aws.region=us-east-1
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+# The name of the bucket. You need to create them by yourself. Otherwise, the system cannot start. All buckets in Amazon S3 share a single namespace; ensure the bucket is given a unique name.
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+resource.aws.s3.bucket.name=dolphinscheduler
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+# You need to set this parameter when private cloud s3. If S3 uses public cloud, you only need to set resource.aws.region or set to the endpoint of a public cloud such as S3.cn-north-1.amazonaws.com.cn
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+resource.aws.s3.endpoint=http://s3:9000
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+
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+# alibaba cloud access key id, required if you set resource.storage.type=OSS
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+resource.alibaba.cloud.access.key.id=<your-access-key-id>
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+# alibaba cloud access key secret, required if you set resource.storage.type=OSS
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+resource.alibaba.cloud.access.key.secret=<your-access-key-secret>
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+# alibaba cloud region, required if you set resource.storage.type=OSS
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+resource.alibaba.cloud.region=cn-hangzhou
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+# oss bucket name, required if you set resource.storage.type=OSS
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+resource.alibaba.cloud.oss.bucket.name=dolphinscheduler
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+# oss bucket endpoint, required if you set resource.storage.type=OSS
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+resource.alibaba.cloud.oss.endpoint=https://oss-cn-hangzhou.aliyuncs.com
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+
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+# if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path
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+resource.hdfs.root.user=hdfs
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+# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
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+resource.hdfs.fs.defaultFS=s3a://dolphinscheduler
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+
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# whether to startup kerberos
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hadoop.security.authentication.startup.state=false
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+
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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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+
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# login user from keytab username
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login.user.keytab.username=hdfs-mycluster@ESZ.COM
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+
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# login user from keytab path
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login.user.keytab.path=/opt/hdfs.headless.keytab
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+
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# kerberos expire time, the unit is hour
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kerberos.expire.time=2
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-# resource view suffixs
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-#resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js
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-# if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path
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-hdfs.root.user=hdfs
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-# if resource.storage.type=S3, the value like: s3a://dolphinscheduler; if resource.storage.type=HDFS and namenode HA is enabled, you need to copy core-site.xml and hdfs-site.xml to conf dir
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-fs.defaultFS=s3a://dolphinscheduler
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+
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+
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# resourcemanager port, the default value is 8088 if not specified
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resource.manager.httpaddress.port=8088
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# if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty
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@@ -45,25 +77,48 @@ yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
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yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s
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# job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)
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yarn.job.history.status.address=http://ds1:19888/ws/v1/history/mapreduce/jobs/%s
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+
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# datasource encryption enable
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datasource.encryption.enable=false
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+
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# datasource encryption salt
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datasource.encryption.salt=!@#$%^&*
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+
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+# data quality option
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+data-quality.jar.name=dolphinscheduler-data-quality-dev-SNAPSHOT.jar
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+
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+#data-quality.error.output.path=/tmp/data-quality-error-data
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+
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+# Network IP gets priority, default inner outer
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+
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+# Whether hive SQL is executed in the same session
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+support.hive.oneSession=false
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+
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# use sudo or not, if set true, executing user is tenant user and deploy user needs sudo permissions; if set false, executing user is the deploy user and doesn't need sudo permissions
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sudo.enable=true
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+
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# network interface preferred like eth0, default: empty
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#dolphin.scheduler.network.interface.preferred=
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+
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# network IP gets priority, default: inner outer
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#dolphin.scheduler.network.priority.strategy=default
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+
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# system env path
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#dolphinscheduler.env.path=dolphinscheduler_env.sh
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+
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# development state
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development.state=false
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+
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# rpc port
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alert.rpc.port=50052
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-aws.access.key.id=accessKey123
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-aws.secret.access.key=secretKey123
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-aws.region=us-east-1
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-aws.endpoint=http://s3:9000
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+
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+# set path of conda.sh
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+conda.path=/opt/anaconda3/etc/profile.d/conda.sh
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+
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# Task resource limit state
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-task.resource.limit.state=false
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+task.resource.limit.state=false
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+
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+# mlflow task plugin preset repository
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+ml.mlflow.preset_repository=https://github.com/apache/dolphinscheduler-mlflow
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+# mlflow task plugin preset repository version
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+ml.mlflow.preset_repository_version="main"
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rickchengx