* CacheLoader}</a>, etc.), so you can use Caffeine without needing to use any Guava types.
 * Caffeine's types are better than Guava's, especially for <a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/AsyncLoadingCache.html">their

	// the open file descriptor.
	//
	// Failing to check the return value when closing a file may lead to silent loss of data.
	// This can especially be observed with NFS and with disk quota.
	return w.Close()
}

// writeAllMeta - writes all metadata to a temp file and then links it to the final destination.

   * timeout is heavyweight enough to throw a checked exception and therefore be inappropriate to
   * use with getUnchecked. Further, it's not clear that converting the checked TimeoutException to
   * a RuntimeException -- especially to an UncheckedExecutionException, since it wasn't thrown by
   * the computation -- makes sense, and if we don't convert it, the user still has to write a
   * try-catch block.
   *

		// call will report top level prefixes in deleted state, whereas spark/hadoop interpret this as non-empty
		// and throw a 404 exception. This is especially a problem for spark jobs overwriting the same partition
		// repeatedly. This workaround recursively lists the top 3 entries including delete markers to reflect the
		// correct state of the directory in the list results.