199 lines
7.9 KiB
Java
199 lines
7.9 KiB
Java
package com.lovenav.service.serviceImpl;
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import com.lovenav.service.RedisService;
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import com.lovenav.utils.RedisKeyUtils;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.stereotype.Service;
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import org.springframework.transaction.annotation.Transactional;
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import org.springframework.data.redis.core.*;
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import javax.annotation.Resource;
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import org.apache.commons.lang.StringUtils;
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import java.util.*;
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@Transactional
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@Service("redisService")
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public class RedisServiceImpl implements RedisService {
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private Logger logger = LoggerFactory.getLogger(RedisService.class);
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/**
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* 取热搜前几名返回
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*/
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private static final Integer HOT_SEARCH_NUMBER = 9;
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/**
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* 多少时间内的搜索记录胃热搜
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*/
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private static final Long HOT_SEARCH_TIME = 30 * 24 * 60 * 60L;
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@Resource
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private StringRedisTemplate stringRedisTemplate;
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//新增一条该userid用户在搜索栏的历史记录
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//searchkey 代表输入的关键词
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/**
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* 新增一条该userid用户在搜索栏的历史记录
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*/
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public Long addSearchHistoryByUserId(String userId, String searchKey) {
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try{
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String redisKey = RedisKeyUtils.getSearchHistoryKey(userId);
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// 如果存在这个key
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boolean b = Boolean.TRUE.equals(stringRedisTemplate.hasKey(redisKey));
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if (b) {
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// 获取这个关键词hash的值，有就返回，没有就新增
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Object hk = stringRedisTemplate.opsForHash().get(redisKey, searchKey);
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if (hk != null) {
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return 1L;
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}else{
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stringRedisTemplate.opsForHash().put(redisKey, searchKey, "1");
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}
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}else{
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// 没有这个关键词就新增
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stringRedisTemplate.opsForHash().put(redisKey, searchKey, "1");
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}
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return 1L;
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}catch (Exception e){
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logger.error("redis发生异常，异常原因：",e);
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return 0L;
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}
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}
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/**
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* 删除个人历史数据
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*/
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public Long delSearchHistoryByUserId(String userId, String searchKey) {
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try {
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String redisKey = RedisKeyUtils.getSearchHistoryKey(userId);
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// 删除这个用户的关键词记录
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return stringRedisTemplate.opsForHash().delete(redisKey, searchKey);
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}catch (Exception e){
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logger.error("redis发生异常，异常原因：",e);
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return 0L;
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}
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}
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/**
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* 获取个人历史数据列表
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*/
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public List<String> getSearchHistoryByUserId(String userId) {
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try{
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List<String> stringList = null;
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String redisKey = RedisKeyUtils.getSearchHistoryKey(userId);
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// 判断存不存在
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boolean b = Boolean.TRUE.equals(stringRedisTemplate.hasKey(redisKey));
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if(b){
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stringList = new ArrayList<>();
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// 逐个扫描，ScanOptions.NONE为获取全部键对，ScanOptions.scanOptions().match("map1").build() 匹配获取键位map1的键值对,不能模糊匹配
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Cursor<Map.Entry<Object, Object>> cursor = stringRedisTemplate.opsForHash().scan(redisKey, ScanOptions.NONE);
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while (cursor.hasNext()) {
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Map.Entry<Object, Object> map = cursor.next();
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String key = map.getKey().toString();
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stringList.add(key);
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}
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return stringList;
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}
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return null;
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}catch (Exception e){
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logger.error("redis发生异常，异常原因：",e);
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return null;
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}
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}
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/**
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* 根据searchKey搜索其相关最热的前十名 (如果searchKey为null空，则返回redis存储的前十最热词条)
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*/
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public List<String> getHotList(String searchKey) {
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try {
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Long now = System.currentTimeMillis();
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List<String> result = new ArrayList<>();
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ZSetOperations<String, String> zSetOperations = stringRedisTemplate.opsForZSet();
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ValueOperations<String, String> valueOperations = stringRedisTemplate.opsForValue();
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Set<String> value = zSetOperations.reverseRangeByScore(RedisKeyUtils.getHotSearchKey(), 0, Double.MAX_VALUE);
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//key不为空的时候 推荐相关的最热前十名
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if(StringUtils.isNotEmpty(searchKey)){
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for (String val : value) {
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if (StringUtils.containsIgnoreCase(val, searchKey)) {
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//只返回最热的前十名
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if (result.size() > HOT_SEARCH_NUMBER) {
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break;
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}
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Long time = Long.valueOf(Objects.requireNonNull(valueOperations.get(val)));
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//返回最近一个月的数据
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if ((now - time) < HOT_SEARCH_TIME) {
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result.add(val);
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} else {//时间超过一个月没搜索就把这个词热度归0
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zSetOperations.add(RedisKeyUtils.getHotSearchKey(), val, 0);
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}
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}
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}
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}else{
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for (String val : value) {
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//只返回最热的前十名
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if (result.size() > HOT_SEARCH_NUMBER) {
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break;
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}
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Long time = Long.valueOf(Objects.requireNonNull(valueOperations.get(val)));
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//返回最近一个月的数据
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if ((now - time) < HOT_SEARCH_TIME) {
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result.add(val);
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} else {
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//时间超过一个月没搜索就把这个词热度归0
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zSetOperations.add(RedisKeyUtils.getHotSearchKey(), val, 0);
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}
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}
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}
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return result;
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}catch (Exception e){
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logger.error("redis发生异常，异常原因：",e);
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return null;
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}
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}
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/**
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* 新增一条热词搜索记录，将用户输入的热词存储下来
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*/
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public int incrementScoreByUserId(String searchKey) {
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Long now = System.currentTimeMillis();
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ZSetOperations<String, String> zSetOperations = stringRedisTemplate.opsForZSet();
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ValueOperations<String, String> valueOperations = stringRedisTemplate.opsForValue();
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List<String> title = new ArrayList<>();
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title.add(searchKey);
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for (int i = 0, length = title.size(); i < length; i++) {
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String tle = title.get(i);
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try {
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if (zSetOperations.score(RedisKeyUtils.getHotSearchKey(), tle) <= 0) {
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zSetOperations.add(RedisKeyUtils.getHotSearchKey(), tle, 0);
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valueOperations.set(RedisKeyUtils.getSearchTimeKey(tle), String.valueOf(now));
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}
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} catch (Exception e) {
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zSetOperations.add(RedisKeyUtils.getHotSearchKey(), tle, 0);
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valueOperations.set(RedisKeyUtils.getSearchTimeKey(tle), String.valueOf(now));
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}
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}
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return 1;
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}
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/**
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* 每次点击给相关词searchKey热度 +1
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*/
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public Long incrementScore(String searchKey) {
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try{
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Long now = System.currentTimeMillis();
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ZSetOperations<String, String> zSetOperations = stringRedisTemplate.opsForZSet();
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ValueOperations<String, String> valueOperations = stringRedisTemplate.opsForValue();
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// 没有的话就插入，有的话的直接更新；add是有就覆盖，没有就插入
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zSetOperations.incrementScore(RedisKeyUtils.getHotSearchKey(), searchKey, 1);
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valueOperations.getAndSet(RedisKeyUtils.getSearchTimeKey(searchKey), String.valueOf(now));
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return 1L;
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}catch (Exception e){
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logger.error("redis发生异常，异常原因：",e);
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return 0L;
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}
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}
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}
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