Replaying Archived Stream Data

Replaying archived stream data complements the upsert process. When you replay historical data, you’re essentially processing events that occurred in the past. By analyzing archived data, you can identify changes, updates, and new records that need to be upserted into your system. This historical context helps maintain data integrity and consistency. Event Hubs stores up to seven days of data, which can be replayed using the Event Hub consumer client libraries.

The following is a simple Python example:

Consumer_client = EventHubConsumerClient.from_connection_string(

    conn_str=CONNECTION_STR,

    consumer_group=›$Default›,

    eventhub_name=EVENTHUB_NAME,

)

consumer_client.receive(

    on_event=on_event,

    partition_id=»0»,

    starting_position=»-1» # «...