redis百万级数据存取

       Jedis jedis0 = new Jedis("localhost", 6379);
        jedis0.auth("123456");
        Pipeline pipelined = jedis0.pipelined();
        Set<String> keys = jedis0.keys("batch*");
        for (String key:keys){
            pipelined.get(key);
        }
        
                List<Object> objects = pipelined.syncAndReturnAll();
                long l1 = System.currentTimeMillis();
                for (Object src:objects){
                    System.out.println(src);
                }
                long l2 = System.currentTimeMillis();
                System.out.println("耗时："+(l2-l1)+"ms");
            }

使用Pipeline百万级数据7



        Jedis jedis0 = new Jedis("localhost", 6379);
        jedis0.auth("123456");

                
        long l1 = System.currentTimeMillis();

        for (int i = 0; i < 1000000; i++) {
            jedis0.get("batch" + i);
        }
        long l2 = System.currentTimeMillis();
        System.out.println("耗时：" + (l2 - l1) + "ms");
 
普通get去获取耗时：耗时：48622ms

前提redis版本要支持缓存，redis源码每次缓存8192个字节，


# client-output-buffer-limit <class> <hard limit> <soft limit> <soft seconds>超过这个限制直接断开连接，不然存了

client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60