@Marvin how can i limit the number of concurrent mapped tasks running

To limit the number of concurrent mapped tasks running in Prefect, you can use task concurrency limits via task tags. Here are the main points: 1. Task Concurrency Limits: Prefect allows you to set concurrency limits that apply to tasks with a specific tag. This is useful for scenarios where a resource (like a database) can only handle a limited number of concurrent connections. 2. Global Concurrency Limits: You can also manage concurrency using a global concurrency limit (GCL), which can be created and managed using Prefect's CLI. Example of setting a task concurrency limit:

python
from prefect import task, flow

@task(tags=["database_task"])
def my_task(x):
    return x

@flow
def my_flow():
    my_list = list(range(1000))
    results = my_task.map(my_list)
    return results

if __name__ == "__main__":
    # Set the task concurrency limit for 'database_task' tag
    import prefect
    prefect.context.concurrency_limits = {"database_task": 10}
    my_flow()

Example of using Global Concurrency Limits:

bash
# Create a global concurrency limit
prefect gcl create my-concurrency-limit --limit 10

# Use the concurrency limit in a Prefect flow
from prefect import concurrency

@flow
def my_flow():
    with concurrency("my-concurrency-limit"):
        my_list = list(range(1000))
        results = my_task.map(my_list)
    return results

For more detailed information, check out the Prefect documentation: Task Concurrency Limits Global Concurrency Limits Additionally, you can monitor relevant issues and discussions on GitHub regarding task concurrency and mapping improvements: GitHub Issues on Limiting Concurrent Mapped Tasks Hope this clears up how to manage concurrency limits in Prefect!