New RunLLM response generated: >>>*# Question* Hi Everyone.. I'm encountering an issue with Flyte and was hoping to get some help. When I run a task that receives a large dictionary (around 300 KB), the task gets stuck in the "running" state, even though my logic has completed. Additionally, the pod running the task also remains in the "running" state. Has anyone else experienced something similar, or does anyone have any insights into what might be causing this? Thank you! # Answer The issue you're encountering might be related to Flyte's handling of large outputs. According to this discussion, Flyte has a limit on the size of metadata that can be stored, which can cause tasks to get stuck in the "running" state if the output exceeds this limit. To address this, you can try offloading large data to a FlyteFile or FlyteDirectory, which Flyte handles more efficiently. Here is an example of how you can modify your task to return a FlyteFile instead of a large dictionary:

from flytekit import task, FlyteFile
import json

@task
def process_large_dict(input_dict: dict) -> FlyteFile:
    # Process your dictionary
    processed_data = input_dict  # Replace with actual processing logic

    # Save the processed data to a file
    output_file_path = "/tmp/processed_data.json"
    with open(output_file_path, 'w') as f:
        json.dump(processed_data, f)

    return FlyteFile(output_file_path)

Would you like more details on how to handle large outputs in Flyte? Sources: - Flyte Discussion on Large Outputs Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1722861999.365329 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.