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How can I efficiently clear the GitHub Actions cache in my workflow?

To efficiently clear the GitHub Actions cache in your workflow, you can use the following steps:

  1. Add the following line to your workflow file:
<code>steps:
  - uses: actions/cache/v2
    with:
      path: path-to-cache
      key: a-unique-cache-key
      restore-keys: |
        restore-key-1
        restore-key-2</code>
  1. Replace path-to-cache with the path to the directory you want to cache.
  2. Replace a-unique-cache-key with a unique key for your cache.
  3. Replace restore-key-1 and restore-key-2 with the keys used to restore the cache in previous runs.

By using this method, the cache will be cleared before each run of your workflow.

What options are available to manage and prune GitHub Actions cache effectively?

To manage and prune GitHub Actions cache effectively, you can use the following options:

  • Use a cache key: A cache key is a unique identifier for your cache. When you use a cache key, GitHub Actions will only restore the cache if the key matches the key used to store the cache. This can help you avoid restoring the cache unnecessarily.
  • Set a maximum cache size: You can set a maximum cache size to limit the amount of space that the cache can use. This can help you avoid running out of storage space.
  • Use a cache pruning strategy: You can use a cache pruning strategy to automatically delete old and unused caches. This can help you keep your cache clean and up to date.

How do I overcome potential issues related to excessive cache storage in GitHub Actions?

To overcome potential issues related to excessive cache storage in GitHub Actions, you can:

  • Use a cache key: A cache key is a unique identifier for your cache. When you use a cache key, GitHub Actions will only restore the cache if the key matches the key used to store the cache. This can help you avoid restoring the cache unnecessarily.
  • Set a maximum cache size: You can set a maximum cache size to limit the amount of space that the cache can use. This can help you avoid running out of storage space.
  • Use a cache pruning strategy: You can use a cache pruning strategy to automatically delete old and unused caches. This can help you keep your cache clean and up to date.
  • Use a distributed cache: If you have a large amount of data to cache, you can use a distributed cache to store the cache across multiple machines. This can help you reduce the load on any single machine and improve performance.

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