[portable] — Debug-action-cache

restoreCache(['node_modules'], primaryKey, restoreKeys) .then(cacheKey => console.log( Restored: $cacheKey )) .catch(err => console.error( Miss: $err ));

Look closely at the hashes of the inputs. If a file hash changed but you didn't touch the file, that file is likely catching generated timestamps or dynamic metadata. Step 3: Inspect Environment Leakage

You typically reach for debugging flags when you encounter two specific scenarios:

The debug-action-cache workflow is less about a single command and more about a mindset of . By strictly controlling your inputs and using debugging tools to inspect hashes, you can transform a sluggish pipeline into a lightning-fast competitive advantage. debug-action-cache

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If you suspect cache issues, use the following systematic approach to isolate and fix the root cause. Step 1: Enable Verbose Logging

In the world of modern software engineering, speed is everything. Tools like Bazel, Buck, and various CI/CD runners leverage to ensure that if a task has been done once, it never has to be done again. But what happens when your cache returns a "hit" that is actually broken, or a "miss" that should have been a hit? restoreCache(['node_modules'], primaryKey, restoreKeys)

A broken or inefficient action cache turns a high-performance development pipeline into a frustrating bottleneck. By understanding how cache keys are calculated and utilizing verbose execution logs to isolate non-deterministic inputs, you can confidently debug any debug-action-cache workflow anomaly. Keep your inputs explicit, your environments isolated, and your builds predictably fast.

If using actions/cache@v3 , add the verbose input:

debug-action-cache is a caching mechanism designed to store and reuse the results of expensive computations or actions during the development process. It's particularly useful in Continuous Integration/Continuous Deployment (CI/CD) pipelines, where repeated computations or actions can significantly slow down the build process. By strictly controlling your inputs and using debugging

Set ACTIONS_STEP_DEBUG=true . Run the workflow.

An essential part of the actions/cache logic is its cache-hit output variable. You can use this in conditional steps with if: statements.

In systems like Bazel, you can use flags like --execution_log_json_file . This allows you to see the exact metadata sent to the cache. You can compare logs from two different builds to see which file or environment variable caused the discrepancy. 2. Identifying "Dirty" Environment Variables

The advantages of using debug-action-cache are numerous: