Change Data Capture
Distribute delta records for key attribute changes
Objective
Change Data Capture (CDC) processor identifies and processes only data that has changed and then makes this changed data available for further use as a delta event.
Uses
The CDC process determines change based upon the previous values held for the tracking fields. This presents various uses for this processor such as:
In financial services Provide a configurable inform on update consumer pattern. Implement a system where traders receive notifications only for changes in stock prices or account balances, rather than the entire transaction details, allowing for quicker decision-making.
In healthcare Optimised delta processing for event consumers and receive updates only on specific tracking fields vs the full event. Enable healthcare providers to receive alerts about changes in patient data, such as medication dosages or vital signs, without needing the entire medical record, ensuring focused and timely responses.
In retail Allow inventory management systems to inform staff only when stock levels change for specific items, rather than sending complete inventory reports, streamlining operations and improving response times.
Example
This will emit changed StreamEvents keyed on symbol when either, OR function, the broker, bid or ask values change.
Attributes schema
| Attribute | Description | Data Type | Required |
|---|---|---|---|
key field | Key field to | String | |
fields | List of fields to track and determine changes | List<String> | |
emit only changes | A flag to emit only a delta event for the changes seen on the record. If set to false changes found will be will be added, as a map, to the | Boolean Default: true | |
drop duplicates | Control flag which can be set to validate processor functionality at runtime. Use a JMX console to set | Boolean Default: true |
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