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使用SpringBoot實現(xiàn)Redis多數(shù)據(jù)庫緩存

 更新時間:2024年06月13日 11:29:54   作者:是行東啊  
在我的系統(tǒng)中,為了優(yōu)化用戶行為數(shù)據(jù)的存儲與訪問效率,我引入了Redis緩存,并將數(shù)據(jù)分布在不同的Redis數(shù)據(jù)庫中,通過這種方式,可以減少單一數(shù)據(jù)庫的負載,提高系統(tǒng)的整體性能,所以本文給大家介紹了使用SpringBoot實現(xiàn)Redis多數(shù)據(jù)庫緩存,需要的朋友可以參考下

Redis多數(shù)據(jù)庫存儲實現(xiàn)用戶行為緩存

在我的系統(tǒng)中,為了優(yōu)化用戶行為數(shù)據(jù)的存儲與訪問效率,我引入了Redis緩存,并將數(shù)據(jù)分布在不同的Redis數(shù)據(jù)庫中。通過這種方式,可以減少單一數(shù)據(jù)庫的負載,提高系統(tǒng)的整體性能。

主要實現(xiàn)步驟

  • Redis配置

    • 配置兩個Redis連接工廠,分別用于存儲Token和用戶行為數(shù)據(jù)。
    • 創(chuàng)建對應的RedisTemplate實例,指定不同的連接工廠及序列化方式。
  1. 用戶行為服務

    • 通過UserBehaviorService接口及其實現(xiàn)類UserBehaviorServiceImpl,實現(xiàn)對用戶點贊、收藏、評論、瀏覽行為的記錄。
    • 在操作數(shù)據(jù)庫的同時,將用戶行為數(shù)據(jù)存儲到Redis中以提高讀取效率。
  2. Token攔截器

    • 使用TokenInterceptor類在每次請求前驗證Token。
    • 驗證通過后,將用戶信息存儲到ThreadLocal中,供后續(xù)操作使用。

代碼實現(xiàn)

Redis配置類

@Configuration
public class RedisConfig {

    @Value("${spring.data.redis.host}")
    private String redisHost;

    @Value("${spring.data.redis.port}")
    private int redisPort;

    @Value("${spring.data.redis.password}")
    private String redisPassword;

    @Bean(name = "tokenRedisConnectionFactory")
    public RedisConnectionFactory tokenRedisConnectionFactory() {
        RedisStandaloneConfiguration config = new RedisStandaloneConfiguration(redisHost, redisPort);
        config.setPassword(redisPassword);
        config.setDatabase(0);
        return new LettuceConnectionFactory(config);
    }

    @Bean(name = "userBehaviorRedisConnectionFactory")
    public RedisConnectionFactory userBehaviorRedisConnectionFactory() {
        RedisStandaloneConfiguration config = new RedisStandaloneConfiguration(redisHost, redisPort);
        config.setPassword(redisPassword);
        config.setDatabase(1);
        return new LettuceConnectionFactory(config);
    }

    @Bean(name = "redisTemplate")
    public StringRedisTemplate redisTemplate(@Qualifier("tokenRedisConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
        StringRedisTemplate template = new StringRedisTemplate();
        template.setConnectionFactory(redisConnectionFactory);
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(new StringRedisSerializer());
        return template;
    }

    @Bean(name = "userBehaviorRedisTemplate")
    public RedisTemplate<String, Map<String, Integer>> userBehaviorRedisTemplate(@Qualifier("userBehaviorRedisConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<String, Map<String, Integer>> template = new RedisTemplate<>();
        template.setConnectionFactory(redisConnectionFactory);
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(new Jackson2JsonRedisSerializer<>(Map.class));
        return template;
    }
}

用戶行為服務實現(xiàn)類

@Service
public class UserBehaviorServiceImpl implements UserBehaviorService {

    private static final long CACHE_EXPIRATION_DAYS = 1;
    private static final String CACHE_PREFIX = "articleCounts:";

    @Autowired
    private UserBehaviorMapper userBehaviorMapper;

    @Autowired
    @Qualifier("userBehaviorRedisTemplate")
    private RedisTemplate<String, Map<String, Integer>> userBehaviorRedisTemplate;

    @Override
    public void setLikeArticle(Likes likes) {
        likes.setCreateTime(LocalDateTime.now());
        Integer userId = ThreadLocalUtil.getUser("id");
        if (userId != null) {
            likes.setUserId(userId);
        }
        userBehaviorMapper.insertLike(likes);
    }

    @Override
    public void setFavoriteArticle(Favorites favorites) {
        favorites.setCreateTime(LocalDateTime.now());
        Integer userId = ThreadLocalUtil.getUser("id");
        if (userId != null) {
            favorites.setUserId(userId);
        }
        userBehaviorMapper.insertFavorite(favorites);
    }

    @Override
    public void setCommentArticle(Comments comments) {
        comments.setCreateTime(LocalDateTime.now());
        Integer userId = ThreadLocalUtil.getUser("id");
        if (userId != null) {
            comments.setUserId(userId);
        }
        userBehaviorMapper.insertComment(comments);
    }

    @Override
    public void setViewArticle(Views views) {
        views.setCreateTime(LocalDateTime.now());
        Integer userId = ThreadLocalUtil.getUser("id");
        if (userId != null) {
            views.setUserId(userId);
        }
        userBehaviorMapper.insertView(views);
    }

    @Override
    public Map<String, Integer> getArticleCounts(Integer articleId) {
        String key = CACHE_PREFIX + articleId;
        Map<String, Integer> counts = userBehaviorRedisTemplate.opsForValue().get(key);
        if (counts == null) {
            counts = fetchArticleCountsFromDB(articleId);
            cacheArticleCounts(articleId, counts);
        }
        return counts;
    }

    private Map<String, Integer> fetchArticleCountsFromDB(Integer articleId) {
        Map<String, Integer> counts = new HashMap<>();
        counts.put("likesCount", userBehaviorMapper.selectLikesCount(articleId));
        counts.put("favoritesCount", userBehaviorMapper.selectFavoritesCount(articleId));
        counts.put("commentsCount", userBehaviorMapper.selectCommentsCount(articleId));
        counts.put("viewsCount", userBehaviorMapper.selectViewsCount(articleId));
        return counts;
    }

    private void cacheArticleCounts(Integer articleId, Map<String, Integer> counts) {
        String key = CACHE_PREFIX + articleId;
        userBehaviorRedisTemplate.opsForValue().set(key, counts, CACHE_EXPIRATION_DAYS, TimeUnit.DAYS);
    }
}

Token攔截器

@Component
public class TokenInterceptor implements HandlerInterceptor {

    @Autowired
    private StringRedisTemplate redisTemplate;

    @Override
    public boolean preHandle(HttpServletRequest request, @NotNull HttpServletResponse response, @NotNull Object handler) throws Exception {
        String token = request.getHeader("Authorization");
        if (token == null || token.isEmpty()) {
            response.setStatus(HttpStatus.UNAUTHORIZED.value());
            return false;
        }

        try {
            ValueOperations<String, String> operations = redisTemplate.opsForValue();
            String redisToken = operations.get(token);
            if (redisToken == null) {
                response.setStatus(HttpStatus.UNAUTHORIZED.value());
                return false;
            }

            Map<String, Object> claims = JwtUtil.parseToken(token);
            ThreadLocalUtil.setUser(claims);
            return true;
        } catch (Exception e) {
            response.setStatus(HttpStatus.UNAUTHORIZED.value());
            return false;
        }
    }

    @Override
    public void postHandle(@NotNull HttpServletRequest request, @NotNull HttpServletResponse response, @NotNull Object handler, ModelAndView modelAndView) throws Exception {
    }

    @Override
    public void afterCompletion(@NotNull HttpServletRequest request, @NotNull HttpServletResponse response, @NotNull Object handler, Exception ex) throws Exception {
        ThreadLocalUtil.remove();
    }
}

到此這篇關于使用SpringBoot實現(xiàn)Redis多數(shù)據(jù)庫緩存的文章就介紹到這了,更多相關SpringBoot Redis數(shù)據(jù)緩存內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關文章希望大家以后多多支持腳本之家!

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