Getting Hit/Miss Ratio in PHP Redis (Detailed Guide w/ Code Examples)

Use Case(s)

In PHP, you could use Redis to cache data to provide faster access. The hit/miss ratio - the number of successful lookups ('hits') versus unsuccessful ('misses') - can help gauge the effectiveness of your caching strategy.

Code Examples

Using the info method to get cache stats

The info method provides various statistics about the state of the Redis server, including hits and misses.

$redis = new Redis(); $redis->connect('', 6379); $info = $redis->info(); $hits = $info['keyspace_hits']; $misses = $info['keyspace_misses']; $ratio = $hits / ($hits + $misses); echo 'Hit/Miss Ratio: ' . $ratio;

This script first connects to the Redis server, then retrieves the info. It gets the hits and misses, calculates the ratio, and finally prints it out.

Best Practices

  • Regularly monitor your hit/miss ratio to maintain optimal performance.
  • If the miss rate is high, consider revising your caching strategy or expanding your cache size.

Common Mistakes

  • Not monitoring the hit/miss ratio: This can lead to inefficient use of Redis and potentially degrade performance.
  • Forgetting to handle divisions by zero when there are no hits.


1. What does a high hit/miss ratio mean in Redis? A high hit/miss ratio indicates that most of the requested keys are available in the Redis cache, resulting in fast data access. This generally means your caching strategy is effective.

2. What if my hit/miss ratio is low? A low hit/miss ratio suggests that many requests aren't being served from the cache and are instead going to the database. This could indicate that your caching strategy needs improvement.

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