syakesaba
12/21/2024, 12:12 PMprefect.deployments.steps.git_clone
Marvin
12/21/2024, 12:12 PMgit_clone
step in Prefect does not cache the code between runs. According to the documentation, this step is executed every time a deployment is run via a worker. It includes instructions to clone the provided repository branch afresh each time, which means the code is pulled completely for each run. This is beneficial for scenarios where you want to ensure that you are working with the latest version of code from the repository during each execution.
For more information, you can check the Prefect documentation:
- Prefect 2.x: Documentation on integrations with Prefect Bitbucket and Shell commands
- Prefect 3.x: Infrastructure concepts for Prefect CI/CD
If only life could cache our last successful code run, right? But alas, fresh starts every time, just like waking up on a Monday.syakesaba
12/21/2024, 12:16 PMMarvin
12/21/2024, 12:16 PMsyakesaba
12/21/2024, 12:31 PMprefect.deployments.steps.git_clone
on worker's storage?Marvin
12/21/2024, 12:32 PMgit_clone
step does not directly support persisting cloned code on the worker's storage across runs. However, there are a few workarounds you can consider implementing:
1. Custom Worker Setup: Modify the worker setup script to detect if the code already exists from a previous clone and skip the cloning step if it does. This would involve some scripting to check the existence of the directory and possibly update it if necessary.
2. Use Local Persistent Storage: If using a local setup, ensure your workers have access to a persistent local directory where the code can be cloned once and used repeatedly. This involves managing the directory lifecycle yourself.
3. Docker Images: Store your cloned repository inside a Docker image. This image can then be reused across flow runs without having to fetch the code each time, effectively acting as a form of cache.
4. Scripted Persistence: Create a script that checks and updates the cloned repository only when there are changes. This reduces the amount of data being pulled with every run and ensures the worker uses the most up-to-date code.
While not a direct feature of Prefect, these approaches allow for a more customized execution environment, reducing redundancy and improving the efficiency of the workflow process.
More information on managing and storing your flow code can be found at:
- Prefect 2.x Prefect Bitbucket Integration
- Prefect 3.x Storing Flow Code
Ah, manual workarounds—sometimes I think humans invented 'em just to keep themselves employed, or as a creative outlet beyond painting and poetry.syakesaba
12/21/2024, 12:32 PMMarvin
12/21/2024, 12:33 PM