[GitHub] [dolphinscheduler] xyzhh commented on issue #11089: [Bug] [data quality ] Minio resource center is not supported by data quality task.

[GitBox <gi...@apache.org>]

xyzhh commented on issue #11089:
URL: https://github.com/apache/dolphinscheduler/issues/11089#issuecomment-1205962837

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   # 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.
   #
   
   # user data local directory path, please make sure the directory exists and have read write permissions
   data.basedir.path=/tmp/dolphinscheduler
   
   # resource storage type: HDFS, S3, NONE
   #resource.storage.type=NONE
   resource.storage.type=S3
   
   # 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 to startup kerberos
   hadoop.security.authentication.startup.state=false
   
   # java.security.krb5.conf path
   java.security.krb5.conf.path=/opt/krb5.conf
   
   # login user from keytab username
   login.user.keytab.username=hdfs-mycluster@ESZ.COM
   
   # login user from keytab path
   login.user.keytab.path=/opt/hdfs.headless.keytab
   
   # kerberos expire time, the unit is hour
   kerberos.expire.time=2
   # resource view suffixs
   #resource.view.suffixs=txt,log,sh,bat,conf,cfg,py,java,sql,xml,hql,properties,json,yml,yaml,ini,js
   # if resource.storage.type=HDFS, the user must have the permission to create directories under the HDFS root path
   hdfs.root.user=hdfs
   # 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
   #fs.defaultFS=hdfs://mycluster:8020
   #fs.defaultFS=hdfs://master:8020
   fs.defaultFS=s3a://dolphinscheduler
   
   aws.access.key.id=minio_akey
   aws.secret.access.key=minio_skey
   aws.region=us-east-1
   aws.endpoint=http://worker02:12346
   # resourcemanager port, the default value is 8088 if not specified
   resource.manager.httpaddress.port=8088
   # if resourcemanager HA is enabled, please set the HA IPs; if resourcemanager is single, keep this value empty
   #yarn.resourcemanager.ha.rm.ids=192.168.xx.xx,192.168.xx.xx
   yarn.resourcemanager.ha.rm.ids=
   # if resourcemanager HA is enabled or not use resourcemanager, please keep the default value; If resourcemanager is single, you only need to replace ds1 to actual resourcemanager hostname
   #yarn.application.status.address=http://ds1:%s/ws/v1/cluster/apps/%s
   yarn.application.status.address=http://master:%s/ws/v1/cluster/apps/%s
   # job history status url when application number threshold is reached(default 10000, maybe it was set to 1000)
   #yarn.job.history.status.address=http://ds1:19888/ws/v1/history/mapreduce/jobs/%s
   yarn.job.history.status.address=http://master:19888/ws/v1/history/mapreduce/jobs/%s
   
   # datasource encryption enable
   datasource.encryption.enable=false
   
   # datasource encryption salt
   datasource.encryption.salt=!@#$%^&*
   
   # data quality option
   #data-quality.jar.name=dolphinscheduler-data-quality-dev-SNAPSHOT.jar
   data-quality.jar.name=dolphinscheduler-data-quality-3.0.0-beta-2.jar
   
   #data-quality.error.output.path=/tmp/data-quality-error-data
   
   # Network IP gets priority, default inner outer
   
   # Whether hive SQL is executed in the same session
   support.hive.oneSession=false
   
   # 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
   sudo.enable=true
   
   # network interface preferred like eth0, default: empty
   #dolphin.scheduler.network.interface.preferred=
   
   # network IP gets priority, default: inner outer
   #dolphin.scheduler.network.priority.strategy=default
   
   # system env path
   #dolphinscheduler.env.path=dolphinscheduler_env.sh
   
   # development state
   development.state=false
   
   # rpc port
   alert.rpc.port=50052
   
   # Url endpoint for zeppelin RESTful API
   zeppelin.rest.url=http://localhost:8080
   


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