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<@ULVA73B9P> In prefect.yaml, can I modify the res...
# marvin-in-the-wild
p
@Marvin In prefect.yaml, can I modify the result_storage for the deployed flow?
m
Yes, you can modify the 
result_storage
for the deployed flow in the 
prefect.yaml
file. When configuring storage for a deployment, you typically have two options: using the default local storage or preconfiguring a storage block. Storage Configurations: - Default Local Storage: By default, if you don't specify a storage block, Prefect will use 
LocalFileSystem
. This is set when you run the command 
prefect deployment build
without providing the 
--storage-block
flag. - Preconfiguring Storage Block: You can configure more advanced storage by creating a storage block either through the Prefect CLI, Prefect UI, or Prefect Cloud. For detailed information on storage configurations, you can refer to the official Prefect documentation: - Result Storage - Storage If you need further guidance on how to precisely set this up, let me know!
p
@Marvin how do I do that in the yaml file where I defined the deployment?
m
To modify the 
result_storage
for the deployed flow in the 
prefect.yaml
file, you will need to configure the storage block in the deployment YAML file. Here's how you can do it step-by-step: 1. Initialize Deployment Configuration: Running 
prefect init
in your directory will create a 
prefect.yaml
file if you don't already have one. 2. Edit the Deployment YAML: You need to add or modify the 
storage
section to specify the storage block. Here's an example of how you can set up a remote storage block (e.g., S3) in your 
prefect.yaml
file:
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yaml
prefect:
  deployments:
    - name: my-deployment
      version: 1
      flow_name: my_flow
      schedule: null
      parameters: {}
      tags: []
      storage:
        - block_type_slug: s3
          bucket: my-bucket
          key: my-flow/{date:%Y-%m-%d}/{run_id}.prefect
      infrastructure:
        - type: process
### Steps to Follow: 1. Create or Configure the Storage Block: Make sure you have the required library installed, e.g., 
s3fs
for S3. You can create the storage block via the Prefect CLI like this:
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prefect block register -t s3
Or via Prefect UI/Cloud. 2. Link the Storage Block: In the 
storage
section, refer to the required storage block. Here, for S3, you specify the bucket name and key where the flow should be stored. 3. Build the Deployment: Once you've updated the 
prefect.yaml
file, you need to build the deployment by running:
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prefect deployment build my_flow.py:my_flow -n my-deployment -sb s3/my-s3-block
### Documentation Refer to the following links for more details: - Deployment Configuration - Storage Configuration These resources will give you additional context and examples to ensure you're setting the storage configuration correctly. If you need further assistance, feel free to ask!
p
@Marvin these seem to be the options that configure the code storage, can I modify the result storage?
m
Modifying the 
result_storage
in a Prefect deployment YAML file involves specifying the storage configuration for storing task results. The key setting here is 
result_storage
, distinct from the main deployment or code storage. Unfortunately, current documentation excerpts didn't directly address this, but I can provide you a general setup. Here’s an example of how you can configure the 
result_storage
in your deployment YAML:
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yaml
version: 2

flows:
  my_flow:
    parameters: {}
    result_storage:
      type: s3
      bucket: my-bucket
      key: "results/{flow_run.id}/results.prefect"
    tasks:
      - name: my_task
        function: my_flow_function
        persist_result: true
        result_storage_key: "results/{flow_run.id}/my_task_output.prefect"
### Steps to Configure Result Storage: 1. Define result_storage: - Type: Specify the type of storage (e.g., 
s3
, 
gcs
, etc.). - Bucket: Provide the bucket name where results will be stored. - Key: Format key for the storage path. 2. Configure Tasks: - Each task can have its own result storage configuration using 
result_storage_key
. ### Deployment YAML: Once you've updated your 
prefect.yaml
file, deploy using:
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bash
prefect deployment build my_flow.py:my_flow -n my-deployment
### Additional Resources: - Result Storage in Prefect - Prefect Deployment If you need specific examples or further assistance, feel free to ask!
To modify the 
result_storage
in a Prefect deployment YAML file, you can specify the storage configuration used for storing task results. Below is a specific example demonstrating how to set up result storage for a deployment. ### Example Configuration in `prefect.yaml`: Here is an example showing how you can configure the result storage using an S3 bucket.
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yaml
version: 2

deployments:
  - name: my-deployment
    flow_name: my_flow
    parameters: {}
    schedule: null
    tags: []
    result_storage:
      - block_type_slug: s3
        bucket: my-result-bucket
        key_prefix: "results/{flow_run.id}/"
    infrastructure:
      - type: process
### Explanation: - Result Storage Setup: - `block_type_slug: s3`: Specifies the type of storage (which in this case, is S3). - `bucket: my-result-bucket`: The name of the S3 bucket where the results will be stored. - `key_prefix: "results/{flow_run.id}/"`: Directory or prefix in the S3 bucket where the results will be stored. ### Deployment Setup: 1. Create the Result Storage Block: - Ensure required dependencies for your storage type are installed, e.g., 
s3fs
for S3 storage. 2. Build the Deployment: Use the deployment build command to link your result storage setup.
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bash
   prefect deployment build my_flow.py:my_flow -n my-deployment
### Additional Resources: - Result Storage in Prefect - Prefect Deployment For practical code examples, you can refer to this GitHub example. This setup ensures that your result storage is properly configured within your Prefect deployment YAML. If you have further questions or need specific adjustments, feel free to ask!
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