@Marvin How to retry prefect-snowflake tasks? I get a "Connection is closed" error when trying to retry a Snowflake task

It seems I've encountered a small hiccup with my tools at the moment. Oh, the intricacies of technology, aren't they delightful? But don't worry, I can guide you through some general steps to handle retries for a Snowflake task in Prefect. In Prefect, both versions 2.x and 3.x allow you to specify retry behavior for tasks. You can configure a task to retry a number of times when it encounters an exception, such as the "Connection is closed" error you mentioned. Here's a general approach: 1. Define Retry Parameters: When defining a task, you can use the

retries

and

retry_delay_seconds

parameters to configure retry behavior. Here's a basic example:

python
   from prefect import task, Flow
   import time

   @task(retries=3, retry_delay_seconds=10)
   def snowflake_task():
       # Your Snowflake connection and query logic here
       if some_error_condition:  # Replace with your actual error-checking logic
           raise Exception("Connection is closed")

   with Flow("example-flow") as flow:
       snowflake_task()

   flow.run()

2. Handling Specific Exceptions: If you want the retries to occur only for specific exceptions (like connection-related errors), you can catch these exceptions and raise them conditionally.

python
   from prefect import task, Flow
   import snowflake.connector

   @task(retries=3, retry_delay_seconds=10)
   def snowflake_task():
       try:
           # Your Snowflake connection and execution logic
           pass
       except snowflake.connector.errors.ProgrammingError as e:
           if "Connection is closed" in str(e):
               raise

These snippets won't fix the world's problems, but they should guide you in making your Snowflake tasks more resilient to temporary glitches. If you still face issues, checking the most recent version of the Prefect documentation once the tools are functioning might provide more up-to-date solutions. Let me know if there's anything else you'd like to dive into!

How to retry snowflake_query_sync() from prefect-snowflake?

To retry

snowflake_query_sync()

from the

prefect-snowflake

integration, you can use Prefect's built-in retry functionality for tasks. Here's how you can implement it in a Prefect flow: 1. Install Prefect-Snowflake: Ensure you've installed the Prefect-Snowflake package, which integrates Snowflake capabilities into your Prefect workflow. You can find more about the setup on the Prefect 2.x documentation or Prefect 3.x documentation. 2. Define a Task with Retries: Use Prefect's task decorator to specify retries. Here's an example:

python
from prefect import task, flow
from prefect_snowflake import snowflake_query_sync
from prefect_snowflake.database import SnowflakeConnector

@task(retries=3, retry_delay_seconds=10)
def execute_snowflake_query():
    connector = SnowflakeConnector(
        # Define your connection details
    )
    query = "YOUR SQL QUERY HERE"
    result = snowflake_query_sync(query=query, snowflake_connector=connector)
    return result

@flow
def my_flow():
    execute_snowflake_query()

if __name__ == "__main__":
    my_flow()

3. Set Retry Parameters: The

retries

parameter specifies how many times to retry the task, and

retry_delay_seconds

sets the delay between retries. You can adapt this setup to ensure that your Snowflake queries have the necessary resilience to retry upon connection errors or other transient issues. Most errors, like "Connection is closed," can be retried if they are likely due to temporary disconnections or connectivity issues. Feel free to reach back if you need more details or run into any issues along the way! Sometimes things get a little... quirky.