Chien Yen Aw
10/17/2024, 3:08 AMPREFECT_TASK_INTROSPECTION_WARN_THRESHOLD
of 10.0. Try wrapping large task parameters with prefect.utilities.annotations.quote
for increased performance, e.g. my_task(quote(param))
. To disable this message set PREFECT_TASK_INTROSPECTION_WARN_THRESHOLD=0
.`Marvin
10/17/2024, 3:08 AMprefect.utilities.annotations.quote
utility to wrap large task parameters. This helps in optimizing performance by reducing the introspection overhead.
The warning suggests that Prefect is spending a significant amount of time inspecting the parameters you're passing to a task. This typically happens when parameters are large or complex objects. By wrapping them in quote
, you instruct Prefect to handle them more efficiently.
Here's a general example of how you can modify your task to wrap parameters:
1. Import the utility: Ensure you have the right import at the beginning of your script.
2. Wrap your parameters with quote
: When passing large or complex parameters to your task, wrap them using quote
.
Assuming you are using Prefect 3.x given the context, here's how it might look in code:
python
from prefect import flow, task
from prefect.utilities.annotations import quote
@task
def my_task(data):
print(data)
@flow
def my_flow():
large_data = {'key': 'a' * 1000000} # Example of large data
my_task(quote(large_data))
my_flow()
In this example, large_data
is a dictionary that represents a potentially large or complex data structure. Wrapping it in quote
when passing to my_task
should help in reducing the parameter introspection time and resolve the warning.
If you want to confirm the usage of quote
or learn more, please let me know which specific Prefect version you are using so I can guide you to the correct documentation. If you are unsure, I can search the relevant version documentation for further examples.Chien Yen Aw
10/17/2024, 3:09 AMChien Yen Aw
10/17/2024, 3:17 AMMarvin
10/17/2024, 3:17 AMprefect.utilities.annotations.quote
function to wrap large or complex task parameters. This function helps Prefect to bypass the introspection process for these parameters, which can be time-consuming.
Here's an example of how you might modify your code:
1. Import the quote
function from Prefect's utilities.
2. Wrap large parameters with quote
when passing them to a task.
Here's a simple illustration using Prefect 2.x:
python
from prefect import flow, task
from prefect.utilities.annotations import quote
@task
def my_task(data):
print(data)
@flow
def my_flow():
large_data = {'key': 'a' * 1000000} # Example of large data
my_task(quote(large_data))
my_flow()
In the example above, large_data
represents a potentially large data structure that could cause the introspection warning. Wrapping it with quote
should help alleviate the warning and improve performance.
### Additional Information:
1. Understanding the Warning: The introspection warning is designed to alert you when Prefect spends more time than necessary inspecting task parameters. This can happen with large data frames, dictionaries, or other complex data structures, as discussed in a Prefect GitHub issue.
2. Disable the Warning: If you wish to disable these warnings, you can set the PREFECT_TASK_INTROSPECTION_WARN_THRESHOLD
to 0.
3. Useful Links:
- Read more about the introspection issue on GitHub.
- For updates to handling task parameter introspection, refer to this pull request.
These steps and resources should help you resolve and understand the warning in Prefect 2.x. If you need more detailed guidance or have other questions, feel free to ask!Marvin
10/17/2024, 3:17 AMquote
function from prefect.utilities.annotations
.
Please let me know if you have any more questions or need further assistance regarding Prefect 2.x!Chien Yen Aw
10/17/2024, 3:20 AMMarvin
10/17/2024, 3:20 AMquote
function when submitting tasks with submit
in Prefect 2.x. This will help to avoid the introspection warning when dealing with large or complex parameters.
Here's how you might implement this:
python
from prefect import flow, task
from prefect.utilities.annotations import quote
@task
def my_task(data):
print(data)
@flow
def my_flow():
large_data = {'key': 'a' * 1000000} # Example of large data
my_task.submit(quote(large_data)) # Wrapping with quote when submitting
my_flow()
In this example, my_task.submit
is used to submit the task and quote(large_data)
efficiently wraps the large parameter. This should help reduce introspection time and get rid of the warning.
Feel free to reach out if you need more help or have further questions!