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On this page
  1. Use Cases
  2. SMA-Checkpoints Walkthrough
  3. Snowpark-Checkpoints Execution Guide

Collection

This page outlines the step-by-step process for the collection procedure.

PreviousSnowpark-Checkpoints Execution GuideNextValidation

Last updated 1 month ago

To follow the collection process, please proceed with the steps outlined below:

  1. Open the collection workload in VS Code to begin the process.

  1. Generate checkpoints using the checkpoints.json file.

To generate checkpoints, you can perform one of the following actions:

  1. Generate checkpoints by accepting the suggested message:

  2. Execute the "Snowflake: Load All Checkpoints" command:

Once all checkpoints are successfully loaded, your files should appear as shown below:

  1. Run the Python file to execute the checkpoints collection process.

When running a Python file that includes checkpoints, a folder named snowpark-checkpoints-output will be created, containing the collection results.

The checkpoints_collection_results.json file contains the consolidated results of the collection process.

{
  "results": [
    {
      "timestamp": "2025-05-05 15:06:43",
      "file": "sample.py",
      "line_of_code": 57,
      "checkpoint_name": "sample$BBVOC7$df1$1",
      "result": "PASS"
    },
    {
      "timestamp": "2025-05-05 15:06:53",
      "file": "sample.py",
      "line_of_code": 57,
      "checkpoint_name": "sample$BBVOC7$df2$1",
      "result": "PASS"
    },
    {
      "timestamp": "2025-05-05 15:06:58",
      "file": "sample.py",
      "line_of_code": 57,
      "checkpoint_name": "sample$BBVOC7$df3$1",
      "result": "PASS"
    }
  ]
}

The snowpark-checkpoints-output folder should be copied into the validation workload to grant access to the collection results. For details on how to proceed with the validation process, refer to the Validation Section.

Collection Workload
Load found checkpoints message
Load All Checkpoints Command
File with checkpoints
Collection results output folder