redis模糊查询redis中的key

方式一：使用keys命令

/**
 * 查找匹配的key
 *
 * @param pattern
 * @return
 */
public Set<String> keys(String pattern) {
   return redisTemplate.keys(pattern);
}

方式二：使用san命令

/**
 * 查找匹配的key
 *
 * @param pattern
 * @return
 */
public List<String> scanKeysByPattern(String pattern) {
    ScanOptions options = ScanOptions.scanOptions().match(pattern).build();
    Cursor<String> cursor = redisTemplate.scan(options);
    List<String> matchedKeys = new ArrayList<>();
    while (cursor.hasNext()) {
        String key = cursor.next();
        matchedKeys.add(key);
    }
    return matchedKeys;
}

在redis里,允许模糊查询key
有3个通配符 *, ? ,[]
*: 通配任意多个字符
?: 通配单个字符
[]: 通配括号内的某1个字符

测试效率

@GetMapping("/matchKeys")
public Object matchKeys(@RequestParam String keyPrefix) {
    StopWatch stopWatch = new StopWatch();
    String keyPattern = keyPrefix + "*";
    stopWatch.start("--keys--");
    Set<String> keys = redisUtil.keys(keyPattern);
    stopWatch.stop();
    System.out.println("----keys------keys.size=" + keys.size() + "----耗时= " + stopWatch.getLastTaskTimeMillis());

    stopWatch.start("--scan--");
    List<String> keys1 = redisUtil.scanKeysByPattern(keyPattern);
    stopWatch.stop();
    System.out.println("----scan----keys.size=" + keys1.size() + "----耗时= " + stopWatch.getLastTaskTimeMillis());

    System.out.println("stopWatch.prettyPrint() = " + stopWatch.prettyPrint());

    Map<String, Object> resMap = new HashMap<>();
    resMap.put("size", keys.size());
    resMap.put("taskTime", stopWatch.getLastTaskTimeMillis());
    return resMap;
}