Identify source data structures - connect_cdc_sqdata - Latest

Connect CDC (SQData) Kafka Quickstart

Product type
Software
Portfolio
Integrate
Product family
Connect
Product
Connect > Connect CDC (SQData)
Version
Latest
ft:locale
en-US
Product name
Connect CDC (SQData)
ft:title
Connect CDC (SQData) Kafka Quickstart
Copyright
2024
First publish date
2000
ft:lastEdition
2026-08-24
ft:lastPublication
2026-08-24T13:32:26.256000
L1_Product_Gateway
Integrate
L2_Product_Segment
Data Integration
L3_Product_Brand
Precisely Connect
L4_Investment_Segment
Application Data Integration
L5_Product_Group
ADI - Connect
L6_Product_Name
Connect CDC
Table 1. Changes in this topic
Change type Description
Updated in version 5.0.6 Updated to include Protobuf schema generation alongside AVRO.
While the Replicator Engine will receive source database schemas from the Capture/Publisher and automatically generate the required AVRO or Protobuf schemas, it is necessary to identify the source tables that will be processed by the Replicator Engine in its script.
Note: The Engines will automatically handle both Code page translation and Data Type transformation as well as provide for the handling of invalid source data when applicable.
Example
Unlike the Apply Engine example, the Replicator Engine script requires only the Source Table Names and specification of the Topic and Subject whose content will contain values defined by the planners and architects of the organization's Confluent Schema Registry. The examples used here are arbitrary but were selected based on the source Table Names, source application and schema source, in this example, the EMPLOYEE and DEPARTMENT Tables, a Db2 "IVP_HR" Database and SQData respectively.
MAPPINGS
   SOURCE 'IVP_HR.EMPLOYEE'
          TOPIC IVP_HR_EMPLOYEE
          SUBJECT IVP_HR_EMPLOYEE-value;
           ALIAS 'EMPLOYEE'
  ,SOURCE 'IVP_HR.DEPARTMENT'
          TOPIC IVP_HR_DEPARTMENT
          SUBJECT IVP_HR_DEPARTMENT-value;
           ALIAS 'DEPARTMENT';