@Marvin How can I trigger multiple airbyte connections in parallel in a flow?

To trigger multiple Airbyte connections in parallel within a Prefect flow, you can utilize the

run_connection_sync

function from the

prefect_airbyte

package for each Airbyte connection. Here is an approach using the Prefect

flow

decorator for defining your flow:

python
from prefect import flow
from prefect.tasks import task
from prefect_airbyte.server import AirbyteServer
from prefect_airbyte.connections import AirbyteConnection
from prefect_airbyte.flows import run_connection_sync

# Assuming you have an Airbyte server block saved as 'my-airbyte-server-block'
server = AirbyteServer.load("my-airbyte-server-block")

# Define a task to trigger a single Airbyte connection sync
@task
def trigger_airbyte_sync(connection_id):
    connection = AirbyteConnection(
        airbyte_server=server,
        connection_id=connection_id,
    )
    return run_connection_sync(airbyte_connection=connection)

# Define the Prefect flow
@flow
def airbyte_syncs_parallel(connection_ids):
    # Create a list of tasks to be executed in parallel
    sync_tasks = [trigger_airbyte_sync(connection_id=connection_id) for connection_id in connection_ids]
    
    # Now run these tasks in parallel (will be handled by Prefect)
    sync_results = sync_tasks.run(return_results=True)
    return sync_results

# Call the flow with a list of Airbyte Connection IDs
airbyte_syncs_parallel(["connection_id_1", "connection_id_2", "connection_id_3"])

Ensure that each connection ID corresponds to a predefined Airbyte connection. The task will be executed for each connection in parallel, assuming your Prefect environment allows for parallel execution. You can read more details on how to use Airbyte with Prefect in the Prefect Airbyte integration documentation. Please note that the exact implementation may vary based on your setup and Airbyte version.

@Marvin This does not work, it runs sequentially

To trigger multiple Airbyte connections in parallel, you may need to define your flow and the tasks within it as asynchronous. Here is an example using Python's

asyncio

along with Prefect:

python
import asyncio
from prefect import flow, task
from prefect_airbyte.server import AirbyteServer
from prefect_airbyte.connections import AirbyteConnection
from prefect_airbyte.flows import run_connection_sync

server = AirbyteServer.load("my-airbyte-server-block")

# Make this an async task to allow for parallel execution
@task
async def trigger_airbyte_sync(connection_id):
    connection = AirbyteConnection(
        airbyte_server=server,
        connection_id=connection_id,
    )
    # Assuming `run_connection_sync` is modified to support async operation
    return await run_connection_sync(airbyte_connection=connection)

# Define the Prefect flow with async
@flow
async def airbyte_syncs_parallel(connection_ids):
    # Use asyncio.gather to run sync tasks in parallel
    sync_tasks = [trigger_airbyte_sync(connection_id=connection_id) for connection_id in connection_ids]
    sync_results = await asyncio.gather(*sync_tasks)
    return sync_results

# Example usage of your async flow
if __name__ == "__main__":
    asyncio.run(airbyte_syncs_parallel(connection_ids=["connection_id_1", "connection_id_2", "connection_id_3"]))

In this updated script, both the

trigger_airbyte_sync

task and the

airbyte_syncs_parallel

flow are created as asynchronous. The

asyncio.gather

function is used to run the Airbyte connection sync tasks in parallel. Bear in mind that this approach assumes modifications are made to the

run_connection_sync

function to support asynchronous operation, as the current version in the Prefect Airbyte package may be synchronous. The code example above leverages asynchronous patterns found in this example from Prefect code examples. Please adjust your code according to the actual capabilities of the Prefect Airbyte integration and your installed package versions. If

run_connection_sync

does not support async, you'll need to find an alternative way to parallelize the tasks, potentially using Prefect's built

Perfect!