Apache Kafka is a distributed streaming platform.
Supported Platformslink
Fivetran supports consuming Kafka messages from:
Schema informationlink
Fivetran creates one table for each topic.
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.