Node Redis: Get Current Memory Usage (Detailed Guide w/ Code Examples)

Use Case(s)

Checking the current memory usage of a Redis server is useful in several situations. It can be used to monitor the resource consumption of the server, debug performance issues and optimize memory usage by identifying unnecessary data.

Code Examples

In Node.js, you can use the Redis INFO command along with the redis package to retrieve information about the memory usage. Here’s an example:

var redis = require('redis'); var client = redis.createClient();'memory', function(err, response) { if (err) throw err; console.log('Used Memory:', response.used_memory); });

In this code, we first create a Redis client using redis.createClient(). We then call'memory') which sends the INFO command to the Redis server and retrieves details about memory usage. The callback function then logs the 'used_memory' field from the response, which shows the amount of memory, in bytes, that Redis has allocated.

Best Practices

Monitor your Redis instances regularly to prevent any outages or performance degradation due to high memory usage. If memory usage is consistently high, consider optimizing your data structures, removing unnecessary data, or scaling your Redis implementation.

Common Mistakes

A common mistake is not handling potential errors in the callback function for the INFO command. Any network issues or server problems could cause an error when communicating with the Redis server, so always include error handling logic in your callbacks.


  1. Does the used_memory value include memory used by Redis itself?

Yes, 'used_memory' includes all the memory that Redis has allocated for itself, which includes the data you've stored, as well as Redis's own operational overhead.

  1. What other memory information can I get from the INFO command?

The INFO command provides a lot of detailed information about memory usage. This includes 'used_memory_peak', which is the highest amount of memory that Redis has had to allocate at any point, and 'mem_fragmentation_ratio', which gives some indication of how fragmented the memory is.

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