Kango Overview
Kango (Kafka to Mongo) is a plugin that reads change events from a stream source, which is Apache Kafka, and saves them onto a sink system, that is MongoDB database.
The common use case for adopting this workload is:
- Data Sink: storing data, occurring as events on a data stream, in an optimized manner, so that other applications can quickly retrieve and analyze it.
Change events read by Kango must comply with the Fast Data format, which includes the operation performed on the record, along with its current and previous values (i.e., before and after the modification).
In particular, Kango is able to recognize four different types of change events operation:
- create as
c: a record was created on the source system - read as
r: a record is read for the first time from the source system - update as
u: a record was updated on the source system - delete as
d: a record was deleted on the source system
Depending on the event operation, the service applies the proper action on the database.
For example, u operation is translated onto an update action on the database, while
d operation is translated as a delete of the record from the database.