: Caching reduces the demand on computational resources, leading to lower operational costs and a more sustainable development process.
Check for "restore-keys." GitHub will try to find the closest match if an exact key isn't found. If your restore-keys
Caching that works perfectly on Ubuntu runners might fail on macOS or Windows. This is often due to OS-specific behavior or symlinks. debug-action-cache
gh cache delete <cache-id>
Run your build with execution logging enabled: bazel build //... --execution_log_json_file=/tmp/exec_log.json : Caching reduces the demand on computational resources,
After setting, re-run your workflow. The logs will now show detailed cache operations (e.g., “Cache not found for key”, “Restored cache with size X”).
You likely arrived at the need for debug-action-cache because your pipeline is exhibiting one of the following symptoms: This is often due to OS-specific behavior or symlinks
is a common necessity for optimizing CI/CD pipelines. If you are facing "cache misses" or slow workflows, you can use several built-in methods to troubleshoot the actions/cache mechanism. 1. Enable Verbose Logging
step only saves the cache if the entire job finishes successfully. Step-by-Step Debugging 1. Enable Step Debug Logging
to get system-level information about the runner environment. 2. Verify Your Cache Keys Cache misses often occur because the generated by hashFiles() doesn't match what was previously saved.