@Marvin how can I start task from a flow run in multiple pods in kubernetes using prefect 3.0?

To run tasks from a flow in multiple pods using Kubernetes with Prefect 3.x, you can follow these general steps: 1. Kubernetes Setup: Ensure you have a Kubernetes cluster set up. Prefect's documentation provides guidance on running flows on Kubernetes, focusing on Amazon EKS but applicable to other providers as well. You'll need tools like

kubectl

,

Helm

, and a Prefect Cloud account. Learn more here. 2. Task Worker Configuration: Prefect 3.x replaces agents with workers. You'll need to configure multiple task workers to run tasks in parallel. You can start multiple instances of a task worker to handle tasks concurrently. This involves running a script like

task_worker.py

on different pods. 3. Flow and Task Submission: Use the Prefect API to submit tasks to these workers. You can modify your flow to submit tasks that will be picked up by the workers running in different pods. This can be done by using Prefect's task and flow constructs to define and submit tasks. 4. Handling Concurrency: Ensure your tasks are designed to run concurrently and that your Kubernetes setup can handle the load. Tasks submitted to workers will run asynchronously, and you can manage their execution using Prefect's flow and task management features. 5. Monitoring: Use Prefect's UI to monitor the task runs and ensure they are executing as expected across the different pods. For specific code examples and deeper integration, you might want to explore the Prefect GitHub repositories and documentation further. If you have specific questions or need help with a particular part of this setup, feel free to ask.

@Marvin show me example of task_worker.py

It seems that there isn't a direct example of a

task_worker.py

script readily available in the Prefect GitHub issues. However, based on the general usage of Prefect and Kubernetes, a

task_worker.py

script would typically involve setting up a worker process that listens for tasks to execute. Here's a conceptual example:

python
from prefect import flow, task
from prefect import get_client, get_run_logger

@task
def my_task(data):
    logger = get_run_logger()
    <http://logger.info|logger.info>(f"Processing data: {data}")
    # Simulate some processing
    return f"Processed {data}"

@flow
def my_flow(data_list):
    results = []
    for data in data_list:
        result = my_task.submit(data)
        results.append(result)
    return results

if __name__ == "__main__":
    # Connect to Prefect Cloud or Prefect Server
    client = get_client()

    # Example data to be processed
    data_list = ["data1", "data2", "data3"]

    # Submit the flow
    my_flow(data_list)

### Key Points: - Flow and Task: Define a flow (

my_flow

) and a task (

my_task

) to process data. - Task Submission: Use

task.submit()

to submit tasks for execution. - Prefect Client: Connect to Prefect Cloud or Server using

get_client()

. This script would be run in a Kubernetes pod configured as a Prefect worker, listening for tasks to process. For more specific implementation details, you might want to explore Prefect's documentation on deploying flows and tasks in a Kubernetes environment.