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<>前言
一般来说，查询成为很多应用对外的性能瓶颈，其主要原因在于一旦并发量上来了，应用后台和数据库或者其他的存储服务的IO交互次数增多了，而服务器的线程资源开销是有限的，如何减少IO次数，这是优化要考虑的一个重要问题
使用redis也是如此，试想某些功能的数据使用了缓存，大量的并发请求过来时，是否可以考虑将同类型的数据查询一次性的提交给redis得到查询结果而不是逐个通过get(key)的方式获取更好呢？
下面介绍两种在java中优化查询的方式
1、使用multiget批量查询多个key
新增工具类
@Component public class RedisUtils { @Autowired private RedisTemplate
redisTemplate; public <T> List<T> multiGet(String... keys){ List<String>
searchKeys = Arrays.asList(keys); return
redisTemplate.opsForValue().multiGet(searchKeys); } }
测试：
@Autowired private RedisUtils redisUtils; @Test public void testMultiget() {
Map<String,Object> keys = new HashMap<>(); keys.put("name","张三"); keys.put("ag
