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Apache-2.0

redis_performance_test

测试redis单机下的性能情况

  1. 使用jedis/Lua去插入/查询list,哪个比较快?
  2. Redis键名长度是否会影响性能?

环境

docker + redis

CPUs:2

内存:2G

Redis版本:3.2.3

网路带宽:127.0.0.1

测试结果

使用jedis/Lua去插入/查询list,哪个比较快?

(数据量:set操作是循环单条往redis push;get操作是直接全部lrange出来)

数据结构 操作 jedis/Lua 数据量 线程 key长度 value长度 QPS 总耗时
List set jedis 1 1 19 40 500/s
List set Lua 1 1 19 40 1000/s
List get jedis 1 1 19 40 8ms
List get Lua 1 1 19 40 1ms
List set jedis 10000 1 19 40 1846/s
List set Lua 10000 1 19 40 769230/s
List get jedis 10000 1 19 40 43ms
List get Lua 10000 1 19 40 1ms
List set jedis 50000 1 19 40 2092/s
List set Lua 50000 1 19 40 806451/s
List get jedis 50000 1 19 40 134ms
List get Lua 50000 1 19 40 1ms

可以看出单线程下Lua比jedis拥有更强的性能。再来看看多线程:

(以下set操作每个线程执行1万次push,get操作是每个线程lrange 10000条数据出来)

数据结构 操作 jedis/Lua 数据量 线程 key长度 value长度 QPS 总耗时
List set jedis 5W 5 19 40 3145/s 15897ms
List set Lua 5W 5 19 40 526315/s 95ms
List get jedis 5W 5 19 40 32ms
List get Lua 5W 5 19 40 22ms
List set jedis 10W 10 19 40 3523/s 28377ms
List set Lua 10W 10 19 40 462962/s 216ms
List get jedis 10W 5 19 40 60ms
List get Lua 10W 5 19 40 51ms

多线程情况下依然可以看到Set操作Lua比jedis快太多,Get操作相对好一些。 这是因为jedis Set操作的for循环调用jedis.lrange产生了多次网络调用,而Lua Set操作的for循环在Lua脚本,Lua脚本发送到redis服务器只产生了一次网络调用。

总结:如果一段代码里需要执行多次redis操作的,优先考虑使用Lua,编写Lua脚本应尽量保证简短,减少网络开销和内存开销。如果脚本内容很长,而且需要频繁执行,那么可以使用SCRIPT LOADEVALSHA 指令。

SCRIPT LOAD 指令用于将客户端提供的 Lua 脚本传递到服务器而不执行,但是会得到脚本的唯一 ID,这个唯一 ID 是用来唯一标识服务器缓存的这段 Lua 脚本,它是由 Redis 使用 sha1 算法揉捏脚本内容而得到的一个很长的字符串。有了这个唯一 ID,后面客户端就可以通过 EVALSHA 指令反复执行这个脚本了。

指令使用Demo
String script = "local redisKes = KEYS[1];" +
                "local start = ARGV[1];" +
                "local endd = ARGV[2];" +
                "local rows = redis.call('lrange',redisKes,start,endd);" +
                "return rows";

String luaId = jedis.scriptLoad(script);

List<String> keyList = new ArrayList<String>();
keyList.add("test_jedis_lua_list");

// 第一个请求
List<String> argList1 = new ArrayList<String>();
argList1.add("0");
argList1.add("9999");

Object result1 = jedis.evalsha(luaId, keyList, argList1);
List<String> list1 = (List<String>) result1;

System.out.println(list1.size());

// 第二个请求
List<String> argList2 = new ArrayList<String>();
argList2.add("0");
argList2.add("19999");

Object result2 = jedis.evalsha(luaId, keyList, argList2);
List<String> list2 = (List<String>) result2;

System.out.println(list2.size());

Redis键名长度是否会影响性能?

(使用Jedis操作,数据量:get/set操作都是循环单条插入取出)

数据结构 操作 数据量 线程数 key长度 value长度 QPS
String set 50000 1 10 5 2161/s
String get 50000 1 10 5 2129/s
String set 50000 1 20 5 2116/s
String get 50000 1 20 5 2180/s
String set 50000 1 80 5 2191/s
String get 50000 1 80 5 1951/s
String set 50000 1 160 5 2101/s
String get 50000 1 160 5 2087/s
String set 50000 1 320 5 2088/s
String get 50000 1 320 5 2116/s
String set 50000 1 640 5 2131/s
String get 50000 1 640 5 2119/s
String set 50000 1 1280 5 2085/s
String get 50000 1 1280 5 2101/s
String set 50000 1 2560 5 1945/s
String get 50000 1 2560 5 1917/s
String set 50000 1 5120 5 1362/s
String get 50000 1 5120 5 1456/s
String set 50000 1 10240 5 907/s
String get 50000 1 10240 5 949/s

可以看出,key的长度到达2560的时候才有性能下降的趋势,到达了10000级别的长度的时候性能就直接折半。
所以说,正常使用redis key是对性能基本没影响或者说影响不大,编程中主要考虑使用的key名是否容易识别, 例如USER_SHOPPING_CART_userId / user:shoppingCart:userId

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