Getting Memory Stats in PHP Redis (Detailed Guide w/ Code Examples)
Use Case(s)
In PHP, you might need to retrieve memory statistics from a Redis instance for monitoring, debugging, or performance tuning. This is particularly useful for identifying memory leaks or excessive memory usage.
Code Examples
Here's how you can get memory stats with the PHPRedis extension:
$redis = new Redis(); $redis->connect('127.0.0.1', 6379); $info = $redis->info(); echo 'Used memory: ', $info['used_memory'];
The info()
method returns an array of various server stats including memory details. The used_memory
key in that array gives the total number of bytes allocated by Redis using its allocator.
Best Practices
Consider fetching memory stats at regular intervals or during low traffic times, as this operation may have a slight impact on the performance due to the information gathering process.
Common Mistakes
A common mistake is to overlook that memory stats will vary greatly depending on your Redis configuration and data structures used. Therefore it’s critical to interpret these numbers in light of your specific use case rather than comparing them to typical/average values.
FAQs
Q: Can I get the memory stats for a specific key? A: No, Redis does not provide memory usage information on a per-key basis through PHPRedis. It provides the total memory usage of the entire database.
Was this content helpful?
Similar Code Examples
- PHP Redis: Get All Keys Matching Pattern
- PHP Redis: Get All Keys Starting With
- PHP Redis: Get Current Memory Usage
- PHP Redis: Getting Key Type
- PHP Redis - Get Hash Values at a Key
- PHP Redis: Getting All Databases
- Redis Get All Hash Keys in PHP
- Checking if a Key Exists in Redis using PHP
- Getting Redis Configuration Settings in PHP
- Getting Redis Key by Value in PHP
- Getting Number of Subscribers in Redis with PHP
- Retrieving Redis Keys Without TTL in PHP
Switch & save up to 80%
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost