為什麼要做一個訪問計數？之前的個人博客用得是卜算子做站點訪問計數，用起來挺好，但出現較多次的響應很慢，再其次就是個人博客實在是訪問太少，數據不好看?…
前面一篇博文簡單介紹了Spring中的RedisTemplate的配置與使用，那麼這篇算是一個簡單的應用case了,主要基於Redis的計數器來實現統計
I. 設計
一個簡單的訪問計數器，主要利用redis的hash結構，對應的存儲結構如下:
存儲結構比較簡單，為了擴展，每個應用（or站點）對應一個APP，然後根據path路徑進行分頁統計，最後有一個特殊的用於統計全站的訪問計數
II. 實現
主要就是利用Redis的hash結構，然後實現數據統計，並沒有太多的難度，Spring環境下搭建redis環境可以參考:
Spring之RedisTemplate配置與使用
1. Redis封裝類
針對幾個常用的做了簡單的封裝，直接使用RedisTemplate的excute方法進行的操作，當然也是可以使用template.opsForValue() 等便捷方式，這裡採用JSON方式進行對象的序列化和反序列化
public class QuickRedisClient { private static final Charset CODE = Charset.forName("UTF-8"); private static RedisTemplate<String, String> template; public static void register(RedisTemplate<String, String> template) { QuickRedisClient.template = template; } public static void nullCheck(Object... args) { for (Object obj : args) { if (obj == null) { throw new IllegalArgumentException("redis argument can not be null!"); } } } public static byte[] toBytes(String key) { nullCheck(key); return key.getBytes(CODE); } public static byte[][] toBytes(List<String> keys) { byte[][] bytes = new byte[keys.size()][]; int index = 0; for (String key : keys) { bytes[index++] = toBytes(key); } return bytes; } public static String getStr(String key) { return template.execute((RedisCallback<String>) con -> { byte[] val = con.get(toBytes(key)); return val == null ? null : new String(val); }); } public static void putStr(String key, String value) { template.execute((RedisCallback<Void>) con -> { con.set(toBytes(key), toBytes(value)); return null; }); } public static Long incr(String key, long add) { return template.execute((RedisCallback<Long>) con -> { Long record = con.incrBy(toBytes(key), add); return record == null ? 0L : record; }); } public static Long hIncr(String key, String field, long add) { return template.execute((RedisCallback<Long>) con -> { Long record = con.hIncrBy(toBytes(key), toBytes(field), add); return record == null ? 0L : record; }); } public static <T> T hGet(String key, String field, Class<T> clz) { return template.execute((RedisCallback<T>) con -> { byte[] records = con.hGet(toBytes(key), toBytes(field)); if (records == null) { return null; } return JSON.parseObject(records, clz); }); } public static <T> Map<String, T> hMGet(String key, List<String> fields, Class<T> clz) { List<byte[]> list = template.execute((RedisCallback<List<byte[]>>) con -> con.hMGet(toBytes(key), toBytes(fields))); if (CollectionUtils.isEmpty(list)) { return Collections.emptyMap(); } Map<String, T> result = new HashMap<>(); for (int i = 0; i < fields.size(); i++) { if (list.get(i) == null) { continue; } result.put(fields.get(i), JSON.parseObject(list.get(i), clz)); } return result; }}對應的配置類
package com.git.hui.story.cache.redis;import com.git.hui.story.cache.redis.serializer.DefaultStrSerializer;import org.springframework.cache.CacheManager;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.context.annotation.PropertySource;import org.springframework.core.env.Environment;import org.springframework.data.redis.cache.RedisCacheManager;import org.springframework.data.redis.connection.RedisConnectionFactory;import org.springframework.data.redis.connection.RedisPassword;import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;import org.springframework.data.redis.core.RedisTemplate;/** * Created by yihui in 18:45 18/6/11. */@Configuration@PropertySource(value = "classpath:application.yml")public class RedisConf { private final Environment environment; public RedisConf(Environment environment) { this.environment = environment; } @Bean public CacheManager cacheManager() { return RedisCacheManager.RedisCacheManagerBuilder.fromConnectionFactory(redisConnectionFactory()).build(); } @Bean public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory redisConnectionFactory) { RedisTemplate<String, String> redisTemplate = new RedisTemplate<>(); redisTemplate.setConnectionFactory(redisConnectionFactory); DefaultStrSerializer serializer = new DefaultStrSerializer(); redisTemplate.setValueSerializer(serializer); redisTemplate.setHashValueSerializer(serializer); redisTemplate.setKeySerializer(serializer); redisTemplate.setHashKeySerializer(serializer); redisTemplate.afterPropertiesSet(); QuickRedisClient.register(redisTemplate); return redisTemplate; } @Bean public RedisConnectionFactory redisConnectionFactory() { LettuceConnectionFactory fac = new LettuceConnectionFactory(); fac.getStandaloneConfiguration().setHostName(environment.getProperty("spring.redis.host")); fac.getStandaloneConfiguration().setPort(Integer.parseInt(environment.getProperty("spring.redis.port"))); fac.getStandaloneConfiguration() .setPassword(RedisPassword.of(environment.getProperty("spring.redis.password"))); fac.afterPropertiesSet(); return fac; }} 2. Controller 支持
首先是定義請求參數:
@Datapublic class WebCountReqDO implements Serializable { private String appKey; private String referer;}其次是實現Controller接口，稍稍注意下，根據path進行計數的邏輯：
@Slf4j@RestController@RequestMapping(path = "/count")public class WebCountController { @RequestMapping(path = "cc", method = {RequestMethod.GET}) public ResponseWrapper<CountDTO> addCount(WebCountReqDO webCountReqDO) { String appKey = webCountReqDO.getAppKey(); if (StringUtils.isBlank(appKey)) { return ResponseWrapper.errorReturnMix(Status.StatusEnum.ILLEGAL_PARAMS_MIX, "請指定APPKEY!"); } String referer = ReqInfoContext.getReqInfo().getReferer(); if (StringUtils.isBlank(referer)) { referer = webCountReqDO.getReferer(); } if (StringUtils.isBlank(referer)) { return ResponseWrapper.errorReturnMix(Status.StatusEnum.FAIL_MIX, "無法獲取請求referer!"); } return ResponseWrapper.successReturn(doUpdateCnt(appKey, referer)); } private CountDTO doUpdateCnt(String appKey, String referer) { try { if (!referer.startsWith("http")) { referer = "https://" + referer; } URI uri = new URI(referer); String host = uri.getHost(); String path = uri.getPath(); long count = QuickRedisClient.hIncr(appKey, path, 1); long total = QuickRedisClient.hIncr(appKey, host, 1); return new CountDTO(count, total); } catch (Exception e) { log.error("get referer path error! referer: {}, e: {}", referer, e); return new CountDTO(1L, 1L); } }}以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支持武林網。