<@ULVA73B9P> I have this flow: ```@task def task_1...
# ask-marvin
p
@Marvin I have this flow:
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@task
def task_1(number:int):
    print(number)
    return number*2

@flow
def flow_1():
    result_v1 = task_1.submit(1).result()
    result_v2 = task_1(1)
Which is the difference in the two ways of calling the task called "task_1"?
m
It seems like your code snippet got cut off. However, from what I can see, you're trying to use the
submit
method to run a task within a flow. Let's make sure you have the correct syntax and understanding of how to use Prefect's imperative API in version 3.x. Here's a basic example that demonstrates how to use the
submit
method with tasks in an imperative style:
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python
from prefect import flow, task

@task
def task_1(number: int):
    print(number)

@flow
def flow_1():
    future = task_1.submit(1)
    result = future.result()
    return result
### Key Points: 1.
@task
Decorator
: This is used to define a task that can be executed within a flow. 2.
submit
Method
: This is used to run the task asynchronously and returns a
Future
object. 3.
result
Method
: This is used to retrieve the result of the task once it has completed. ### Assumptions: - This example assumes you're using Prefect 3.x, which has a slightly different API compared to 2.x. - The
submit
method is used to run tasks imperatively, which is what you seem to prefer. If you have any specific issues or parts of your flow that you need help with, feel free to provide more details or the rest of the code!
In your flow, you are using two different methods to invoke the
task_1
function. Here's the distinction between them: 1. Using
submit
Method
:
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python
   result_v1 = task_1.submit(1).result()
- Asynchronous Execution: The
submit
method is used to execute the task asynchronously. It returns a
Future
object immediately. - Result Retrieval: You need to call
.result()
on the
Future
object to block and wait for the task to complete, then retrieve its result. - Use Case: This is useful when you want to run tasks concurrently or manage task dependencies more flexibly. 2. Direct Call:
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python
   result_v2 = task_1(1)
- Synchronous Execution: Directly calling the task like a regular function call executes it synchronously. - Immediate Result: The result is obtained immediately after the task completes execution. - Use Case: This is simpler and useful when you do not need asynchronous behavior or task concurrency. Both methods have their use cases depending on whether you need asynchronous execution and future handling or a straightforward synchronous execution.
p
@Marvin Which is the difference for this in Prefect 2.x and 3.x
m
The differences between using the
submit
method and direct calls in Prefect 2.x and 3.x are primarily around the API's evolution and how tasks are executed within flows. Here's a summary based on the available documentation: ### Prefect 2.x: - Submit Method: In Prefect 2.x, the
submit
method is used to run tasks asynchronously. It creates a new task run in the backing API and submits the task to the flow's task runner. The method is synchronous in the sense that it blocks only during the submission process, after which the flow execution continues. - Direct Call: Directly calling a task executes it synchronously within the flow. This means the flow will wait for the task to complete before moving to the next step. ### Prefect 3.x: - Submit Method: The
submit
method in Prefect 3.x serves a similar purpose but is part of a more refined API. It allows for asynchronous task execution, returning a
PrefectFuture
object that can be used to manage task dependencies and retrieve results once the task is complete. - Direct Call: As in 2.x, a direct call to a task in 3.x executes it synchronously. This is straightforward and suitable for tasks that do not require concurrency. ### General Differences: - API Evolution: Prefect 3.x has a more streamlined and consistent API, focusing on improving usability and performance. - Concurrency Management: The
submit
method in both versions is designed for asynchronous execution, but 3.x offers more robust handling of task dependencies and futures. For more details on these methods, you can refer to the Prefect documentation: - Prefect 2.x Task Runners - Prefect 3.x Task API If you have specific scenarios or additional questions about using Prefect in your environment, feel free to ask!
p
@Andrea Debeni
👍 1