> For the complete documentation index, see [llms.txt](https://jon-xia.gitbook.io/workspace/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jon-xia.gitbook.io/workspace/shu-ju-ku-7/nosql/redis/redis-shi-yong-gong-neng.md). # Redis实用功能 1. redis-server * redis-server --test-memory 2048 用来测试机器是否能给redis 2048m 的内存 2. redis-cli * redis-cli -r 100 -i 1 info | grep used\_memory\_human * -r 表示repeat 100次 * -i 表示隔1秒 * info | grep used\_memory\_human 输出redis内存占用率 * redis-cli --raw和--no-raw \--no-raw选项是要求命令的返回结果必须是原始的格式， --raw恰恰相 186反， 返回格式化后的结果。 在Redis中设置一个中文的value： ```bash redis-cli set hello "你好" OK ``` 如果正常执行get或者使用--no-raw选项， 那么返回的结果是二进制格 式： ```bash redis-cli get hello "\xe4\xbd\xa0\xe5\xa5\xbd" redis-cli --no-raw get hello "\xe4\xbd\xa0\xe5\xa5\xbd" ``` 如果使用了--raw选项， 将会返回中文： ```bash redis-cli --raw get hello 你好 ``` 3. redis-benchmark 简明之意，这东西就是为了做性能基准测试用的 * redis-benchmark -c 100 -n 20000 代表100各个客户端同时请求Redis， 一共执行20000次。 ```bash ====== PING_INLINE ====== 20000 requests completed in 0.44 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 54.90% <= 2 milliseconds 92.01% <= 3 milliseconds 99.55% <= 4 milliseconds 99.99% <= 5 milliseconds 100.00% <= 5 milliseconds 45248.87 requests per second ====== PING_BULK ====== 20000 requests completed in 0.40 seconds 100 parallel clients 3 bytes payload keep alive: 1 1.22% <= 1 milliseconds 89.35% <= 2 milliseconds 99.39% <= 3 milliseconds 99.44% <= 4 milliseconds 99.50% <= 5 milliseconds 99.51% <= 6 milliseconds 99.76% <= 7 milliseconds 100.00% <= 7 milliseconds 49875.31 requests per second ====== SET ====== 20000 requests completed in 0.48 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 44.29% <= 2 milliseconds 88.36% <= 3 milliseconds 96.86% <= 4 milliseconds 98.39% <= 5 milliseconds 98.96% <= 6 milliseconds 99.04% <= 7 milliseconds 99.12% <= 8 milliseconds 99.15% <= 9 milliseconds 99.50% <= 11 milliseconds 99.51% <= 12 milliseconds 99.79% <= 13 milliseconds 100.00% <= 13 milliseconds 41580.04 requests per second ====== GET ====== 20000 requests completed in 0.41 seconds 100 parallel clients 3 bytes payload keep alive: 1 2.32% <= 1 milliseconds 93.97% <= 2 milliseconds 99.91% <= 3 milliseconds 100.00% <= 3 milliseconds 49019.61 requests per second ====== INCR ====== 20000 requests completed in 0.42 seconds 100 parallel clients 3 bytes payload keep alive: 1 1.10% <= 1 milliseconds 77.43% <= 2 milliseconds 95.63% <= 3 milliseconds 99.89% <= 4 milliseconds 100.00% <= 5 milliseconds 100.00% <= 5 milliseconds 47846.89 requests per second ====== LPUSH ====== 20000 requests completed in 0.47 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 39.29% <= 2 milliseconds 86.71% <= 3 milliseconds 97.57% <= 4 milliseconds 98.88% <= 5 milliseconds 99.53% <= 6 milliseconds 100.00% <= 6 milliseconds 42283.30 requests per second ====== LPOP ====== 20000 requests completed in 0.44 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.32% <= 1 milliseconds 61.51% <= 2 milliseconds 93.03% <= 3 milliseconds 98.91% <= 4 milliseconds 99.38% <= 5 milliseconds 99.73% <= 6 milliseconds 99.76% <= 8 milliseconds 100.00% <= 8 milliseconds 45045.04 requests per second ====== SADD ====== 20000 requests completed in 0.43 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.03% <= 1 milliseconds 63.65% <= 2 milliseconds 93.00% <= 3 milliseconds 99.83% <= 4 milliseconds 100.00% <= 4 milliseconds 46296.30 requests per second ====== SPOP ====== 20000 requests completed in 0.41 seconds 100 parallel clients 3 bytes payload keep alive: 1 1.65% <= 1 milliseconds 87.15% <= 2 milliseconds 98.46% <= 3 milliseconds 99.46% <= 4 milliseconds 99.88% <= 5 milliseconds 100.00% <= 5 milliseconds 48543.69 requests per second ====== LPUSH (needed to benchmark LRANGE) ====== 20000 requests completed in 0.44 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 47.38% <= 2 milliseconds 92.78% <= 3 milliseconds 99.64% <= 4 milliseconds 100.00% <= 4 milliseconds 45351.47 requests per second ====== LRANGE_100 (first 100 elements) ====== 20000 requests completed in 1.09 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 0.14% <= 2 milliseconds 80.49% <= 3 milliseconds 97.26% <= 4 milliseconds 99.40% <= 5 milliseconds 99.65% <= 6 milliseconds 99.75% <= 8 milliseconds 99.86% <= 9 milliseconds 99.88% <= 10 milliseconds 100.00% <= 12 milliseconds 18348.62 requests per second ====== LRANGE_300 (first 300 elements) ====== 20000 requests completed in 2.02 seconds 100 parallel clients 3 bytes payload keep alive: 1 0.00% <= 1 milliseconds 0.04% <= 2 milliseconds 0.13% <= 3 milliseconds 2.82% <= 4 milliseconds 54.31% <= 5 milliseconds 91.54% <= 6 milliseconds 99.06% <= 7 milliseconds 99.29% <= 8 milliseconds 99.57% <= 9 milliseconds 99.71% <= 10 milliseconds 99.74% <= 11 milliseconds 99.75% <= 12 milliseconds 99.86% <= 13 milliseconds 99.96% <= 14 milliseconds 100.00% <= 17 milliseconds 100.00% <= 17 milliseconds 9891.20 requests per second ... ``` 比如===get===，表示一共执行了20000次get操作， 在0.41秒完成， 每个请求数据量 是3个字节， 99.91%的命令执行时间小于1毫秒， Redis每秒可以处理 49019.61次get请求，其他的类似。 -