基于redis实现模糊匹配的简单热词推荐

用户在输入时，往往需要根据输入内容匹配，按照热度排序推荐一些完整的内容，来减少用户输入，提升体验。我思考了一种少量数据的简单实现方式。使用redis的key来进行模糊匹配，然后根据热度进行排序输出；

考虑热度是有时间效应，一个key，value不好办；然后想到了将时间和热度合并成一个，有了思路就可以考虑具体实现了。
将时间和热度转为int型，然后合并成一个long，就解决问题了。int最大值‭4294967295‬，热度达不到这么大，时间转换为例如：2022051217，以小时隔断，离最大值也差几千年，完全用不到这么久。完美解决。

redis中添加了如下数据

@Autowired
private RedissonClient redisson;

@PostConstruct
public void test() {
    redisson.getAtomicLong("java开发").set(0);
    redisson.getAtomicLong("javaScript").set(0);
    redisson.getAtomicLong("java培训").set(0);
    redisson.getAtomicLong("java面试题").set(0);
    redisson.getAtomicLong("java开发工具").set(0);
    redisson.getAtomicLong("java编程规范").set(0);
}

然后打开postMan或者ApiPost测试，输入”开发“

给”java开发“热度加1

再来输入”开发“看看效果

到这里就简单实现了这个功能，根据时间降低热度以后在做

@RestController
@RequestMapping("/word")
public class WordTestController {

    @Autowired
    private RedissonClient redisson;

    @PostMapping("/matching")
    public List matching(@RequestParam String text) {
        Iterator keys = redisson.getKeys().getKeysByPattern("*" + text + "*").iterator();
        MutableList result = Lists.mutable.of();
        while(keys.hasNext()) {
            String word = keys.next();
            result.add(new WordEntity(word, redisson.getAtomicLong(word).get()));
        }
        Collections.sort(result);
        return result;
    }

    @PostMapping("/addHot")
    public int addHot(@RequestParam String word) {
        int []hotAndTime = DataConversion.separateLong2int(redisson.getAtomicLong(word).get());
        long newHotAndTime = DataConversion.combineTimeAndHot(System.currentTimeMillis(), hotAndTime[1] + 1);
        redisson.getAtomicLong(word).set(newHotAndTime);
        return hotAndTime[1] + 1;
    }
}

public class WordEntity implements Comparable {

    
    private String name;

    
    private int hot;

    
    private int time;

    public WordEntity(String name, long hotAndTime) {
        this.name = name;
        setHotAndTime(hotAndTime);
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public int getHot() {
        return hot;
    }

    public void setHot(int hot) {
        this.hot = hot;
    }

    public int getTime() {
        return time;
    }

    public void setTime(int time) {
        this.time = time;
    }

    public void setHotAndTime(long hotAndTime) {
        int data[] = DataConversion.separateLong2int(hotAndTime);
        this.hot = data[1];
        this.time = data[0];
    }

    @Override
    public int compareTo(WordEntity o) {
        Long t1 = DataConversion.combineIntToLong(this.time, this.hot);
        Long t2 = DataConversion.combineIntToLong(o.time, o.hot);
        return t2.compareTo(t1);
    }
}

public class DataConversion {

    public static long combineTimeAndHot(long time, int hot) {
        return combineIntToLong(timeStampToInt(time), hot);
    }

    
    public static int timeStampToInt(long timeStamp) {
        Calendar calendar = Calendar.getInstance();
        calendar.setTimeInMillis(timeStamp);
        StringBuilder builder = new StringBuilder();
        builder.append(calendar.get(Calendar.YEAR));
        int month = calendar.get(Calendar.MONTH) + 1;
        if(month < 10) {
            builder.append(0);
        }
        builder.append(month);
        int day = calendar.get(Calendar.DAY_OF_MONTH);
        if(day < 10) {
            builder.append(0);
        }
        builder.append(day);
        int hour = calendar.get(Calendar.HOUR_OF_DAY);
        if(hour < 10) {
            builder.append(0);
        }
        builder.append(hour);
        return Integer.valueOf(builder.toString());
    }

    
    public static long combineIntToLong(int low, int high) {
        return (long) low | (long) high << 32;
    }

    
    public static int[] separateLong2int(long val) {
        int[] ret = new int[2];
        ret[0] = (int) (0xFFFFFFFFl & val);
        ret[1] = (int) (val >> 32);
        return ret;
    }
}