To collect the data from the various data sources, you can add Kafka mapping. Kafka mapping also helps in processing incoming records. Additionally to map the properties, you can use JSON path expressions.


  1. Go to https://Telcocloud serviceassurance-ui-IP.
    A typical URL for logging into the user interface from the same system on which VMware Telco Cloud Service Assurance is installed is https://10.x.x.x.
  2. Enter the user name and password.
  3. Click Next.
  4. Navigate to the Administration > Configuration.
  5. Click Kafka Mappers.
    Add Kafka Mapper appears in the right pane.
    You can view the output of the Kafka mapper anytime, by uploading Sample Data and clicking Evaluate. The Evaluate tab contains the processed metric or error based on the current Kafka Mapper definition in the code window.
    Additionally, you can save MnR metric data to a file and upload. The uploaded data is converted to JSON format and displayed in the Sample Data section. This JSON data is used for further processing.
  6. To configure the Kafka mapping, enter the details as listed below:
    Input Parameters Description Default Value
    Mapper Name Provide name of the mapping NA
    Mapper Description Provide description about Kafka mapping. NA
    Type Select from following:
    • Metrics
    • Events
    Mapping Details
    Model Type Use Choose Model, to select the model from the Data Model Catalogs. Generic
    Code Represents the formatted schema (in JSON format) of selected model. NA
    Replace Mapping Schema Upload a new mapping schema. NA
    Sample Data Use Select Sample Data, to upload JSON file. NA
    Target Data Model Provide details about selected model schema:
    • Catalog
    • Data Model
    • Properties
    • Tags
    Evaluate Provides JSON path expression mapping values to the sample data. NA
    Select Sample Data

    Mapping source properties to the destination properties to comply with the VMware Telco Cloud Service Assurance format using JSONPath expressions.

     "type": "Kafka-Collector",
     "instance": "$.properties.source",
     "timestamp": "$.timestamp",
     "metricType": "$.properties.devtype",
     "properties.dataSource": "$.properties.ip",
     "properties.deviceType": "$.properties.devtype",
     "properties.deviceName": "$.properties.devdesc",
     "properties.entityType": "$.properties.type",
     "properties.entityName": "$.properties.table",
  7. To create Kafka mapping, click Create Mapper.