![]() You can see the intrinsic latency as a baseline for your overall Redis performance. The intrinsic latency is inherent to the environment, depending on factors such as hardware, kernel, server neighbors and other factors that aren’t controlled by Redis. If you’d like to measure the system latency only, you can use -intrinsic-latency for that. If you have a peak in usage, however, this should be reflected as an increase in latency within the results. Min: 0, max: 1, avg: 0.16 (1445 samples) - 15.01 seconds rangeīecause the Redis server on our example is idle, there’s not much variation between latency samples. You will get output similar to this, but with different numbers: -q: Quiet mode, shows only the average requests per second information.įor instance, if you want to check the average number of requests per second that your local Redis server can handle, you can use:. ![]() -P: Use pipelining for performance improvements.For instance, you can use -t get,set to benchmark the performance of GET and SET commands. -d: Data size for SET and GET values, measured in bytes.-c: Number of clients (parallel connections) to simulate.-a: If your server requires authentication, you can use this option to provide the password.The following list details some of the common command options used with redis-benchmark: The resulting data will give you an idea of the average number of requests that your Redis server is able to handle per second. This program can be used to simulate an arbitrary number of clients connecting at the same time and performing actions on the server, measuring how long it takes for the requests to be completed. Redis comes with a benchmark tool called redis-benchmark. Note: The commands demonstrated in this tutorial were executed on a dedicated Redis server running on a 4GB DigitalOcean Droplet. ![]()
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