This page covers the steps to view new PDUSessionEstSR KPI within a given time range (a KPI that is computed by KPI MS) via UUI

Manual Configuration:

 1. UUI:

Update the images of the UUI components -

• image: onap/usecase-ui-server: 5.1.1
• image: onap/usecase-ui: 5.1.0

2. MSB Configuration

Register so-orchestrationTasks and so-serviceInstances interface to MSB.

Interface registration can be done through portal.

Steps(Portal):

Link: https://{{master server ip}}:30284/iui/microservices/default.html

 1.Select ‘Service Discover’ in the left pane

 2. Click 'Service Register' button.

Image Added

 3. Input the basic info as the picture shows(also refer to the registration info provided above)

Image Added

4. Click Add Host button.

    Input IP Address and Port then click the 'SAVE' button. （Use cmd ’kubectl get svc n onap|grep dl-des‘ to confirm IP and port.）

Deployment Prerequisite/dependencies for DCAE:

1. VES, PM mapper and DataFile Collector, dcae-mongodb, Datalake Extraction Service(DES) and Datalake-feeder services should be running.

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1. Build presto image and push the images to a exsting repository
   1. Download and extract presto package version v0.0.2: presto-v0.0.2.tar.gz
   2. docker build -t presto:v0.0.2 .
   3. docker tag presto:v0.0.2 registry.baidubce.com/onap/presto:v0.0.2
   4. docker push registry.baidubce.com/onap/presto:v0.0.2
   5. Note： Replace the repository path with your own repository.
2. Install presto service
   1. kubectl -n onap run dl-presto --image=presto:v0.0.2 --env="MongoDB_IP=dcae-mongohost" --env="MongoDB_PORT=27017" --image-pull-policy=IfNotPresent
   2. kubectl expose pod dl-presto --name=dl-presto --port=9000 --target-port=9000 --type=NodePort -n onap

3. Login to the dev-dcae-datalake-postgres-primary container and execute following sql commands:

   Code Block
   title datalake-db init_data linenumbers true collapse true
   psql -Udatalake -ddatalake \dt delete from map_db_topic; delete from map_db_design; delete from db; delete from data_exposure ; insert into db (id, db_type_id, enabled, encrypt, name,host,port,database_name) values (2, 'MONGO', true, true, 'MongoDB 1','dcae-mongohost',27017,'datalake'); insert into map_db_topic(db_id,topic_id) select db.id, topic.id from db_type, db, topic where db.db_type_id=db_type.id and db_type.tool=false; update kafka set secure=true, pass='admin_secret' where id=1; insert into topic_name (id) values ('unauthenticated.PERFORMANCE_MEASUREMENTS') pass='admin_secret' where id=1; insert into topic(id, topic_name_id,correlate_cleared_message,enabled, message_id_path,data_format (id) values (6, 'unauthenticated.PERFORMANCE_MEASUREMENTS',true,true,'/event/commonEventHeader','JSON'); insert into data_exposure(id, note,sql_template,db_id) values ('pDUSessionEstSR','pm_message', 'SELECT event.perf3gppFields.measDataCollection.measInfoList[1].measValuesList[1].measResults[1].sValue AS pDUSessionEstSR, from_unixtime(event.commonEventHeader.startEpochMicrosec/1000) AS timeStamp FROM unauthenticatedperformancemeasurements WHERE any_match(event.perf3gppFields.measDataCollection.measInfoList[1].measTypes.sMeasTypesList, e -> e like ''${id}'') AND event.commonEventHeader.startEpochMicrosec >= ${timeStamp}',2);

   
   

4. Execute below request to verify: 

   curl --header "Content-type: application/json" --request POST --data '{"hours":4,"id":"PDUSessionEstSR.00110010","timeStamp":"1606743157914"}' http://dl-des:1681/datalake/v1/exposure/pDUSessionEstSR -i 

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