Charles Liu
09/25/2024, 9:29 PMMarvin
09/25/2024, 9:30 PMprefect gcl
command rather than directly in the prefect.yaml
file. Here are the main commands you can use:
1. Create a New Concurrency Limit:
prefect gcl create my-concurrency-limit --limit 5 --slot-decay-per-second 1.0
2. Inspect a Concurrency Limit:
prefect gcl inspect my-concurrency-limit
3. Update a Concurrency Limit:
prefect gcl update my-concurrency-limit --limit 10
4. Delete a Concurrency Limit:
prefect gcl delete my-concurrency-limit
To see all available commands and options, run:
prefect gcl --help
For more details, refer to the documentation on global concurrency limits.
Additionally, here are some related discussions and updates on GitHub:
- Tutorial section docs updates
If you have further questions or need specific examples, let me know!Marvin
09/25/2024, 9:30 PMprefect.yaml
file, you'll need to follow these general steps:
1. Initialize your deployment configuration:
Run the CLI command prefect init
in the directory or repository that stores your flow code. This will create a prefect.yaml
file if it doesn't already exist.
2. Configure Global Concurrency Limits:
You can define global concurrency and rate limits directly within the Prefect UI, CLI, or Python SDK. The configuration involves specifying parameters like the name of the limit, the maximum number of slots (concurrency limit), and slot decay per second (for rate limits).
Here's a basic example of how your prefect.yaml
might look like when configuring global concurrency limits:
yaml
concurrency_limits:
- name: "my_global_limit"
limit: 5 # The maximum number of concurrent operations
decay: 1 # Controls the rate at which slots are released
active: true # Whether or not the limit is active
### Example Steps
1. Initialize Configuration:
prefect init
2. Modify prefect.yaml
File:
yaml
concurrency_limits:
- name: "global_rate_limit"
limit: 10
decay: 0.1
active: true
### References:
For more details, you can visit:
- Global Concurrency and Rate Limits: link
- Prefect YAML Deployment: link
Feel free to adjust the specifics according to your use case. If you encounter any issues or need further assistance, let me know!Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
Powered by