Apache Kafka is a distributed streaming platform.
Supported Platformslink
Fivetran supports consuming Kafka messages from:
Schema informationlink
Fivetran creates one table for each topic.
IMPORTANT: You can choose which topics to sync on the Schema tab in your Fivetran dashboard.
For each table it creates partition
, offset
, timestamp
and key
columns
where partition
and offset
are the primary keys.
The timestamp
column may contain either create_time
or log_append_time
as per the server configuration.
You can select to sync packed
or unpacked
messages.
For the packed
messages, Fivetran syncs the message in value
column.
The unpacked
messages must be in JSON
format.
For all the first level JSON
elements, Fivetran creates a separate column.
The column names are formed using value_<element_name>
format.
Historical Synclink
After making the connection, Fivetran starts syncing all available messages from the Kafka topics. It goes to the earliest available offset for each partition of a topic and starts consuming the messages. It loads the messages into the warehouse. After the retention period the messages are deleted from the Kafka topics. The deleted messages won’t be synced so if you happened to resync the connector it would only fetch the current available messages.