第7章 项目进阶，构建安全高效的企业服务【仿牛客网社区论坛项目】
- 前言
- 项目总结
- 第7章 项目进阶，构建安全高效的企业服务
- 1. Spring Security
- 2.权限控制
- 3.置顶、加精、删除
- 4.Redis高级数据类型
- 5.网站数据统计
- 6.任务执行和调度
- 7.热帖排行
- 8.生产长图
- 9.将文件上传至云服务器
- 10.优化网站性能
- 最后
前言
2023-4-30 20:42:51
项目总结
第7章 项目进阶，构建安全高效的企业服务
1. Spring Security
2.权限控制
3.置顶、加精、删除
// 置顶
@RequestMapping(path = "/top", method = RequestMethod.POST)
@ResponseBody
public String setTop(int id) {
discussPostService.updateType(id, 1);
// 触发发帖事件 es修改数据
Event event = new Event()
.setTopic(TOPIC_PUBLISH)
.setUserId(hostHolder.getUser().getId())
.setEntityType(ENTITY_TYPE_POST)
.setEntityId(id);
eventProducer.fireEvent(event);
return CommunityUtil.getJSONString(0);
}
// 加精
@RequestMapping(path = "/wonderful", method = RequestMethod.POST)
@ResponseBody
public String setWonderful(int id) {
discussPostService.updateStatus(id, 1);
// 触发发帖事件
Event event = new Event()
.setTopic(TOPIC_PUBLISH)
.setUserId(hostHolder.getUser().getId())
.setEntityType(ENTITY_TYPE_POST)
.setEntityId(id);
eventProducer.fireEvent(event);
// 计算帖子分数
String redisKey = RedisKeyUtil.getPostScoreKey();
redisTemplate.opsForSet().add(redisKey, id);
return CommunityUtil.getJSONString(0);
}
//取消置顶
//取消加精
// 删除
@RequestMapping(path = "/delete", method = RequestMethod.POST)
@ResponseBody
public String setDelete(int id) {
discussPostService.updateStatus(id, 2);
// 触发删帖事件
Event event = new Event()
.setTopic(TOPIC_DELETE)
.setUserId(hostHolder.getUser().getId())
.setEntityType(ENTITY_TYPE_POST)
.setEntityId(id);
eventProducer.fireEvent(event);
return CommunityUtil.getJSONString(0);
}4.Redis高级数据类型
5.网站数据统计
// 统计网站UV
@RequestMapping(path = "/data/uv", method = RequestMethod.POST)
public String getUV(@DateTimeFormat(pattern = "yyyy-MM-dd") Date start,
@DateTimeFormat(pattern = "yyyy-MM-dd") Date end, Model model) {
long uv = dataService.calculateUV(start, end);
model.addAttribute("uvResult", uv);
model.addAttribute("uvStartDate", start);
model.addAttribute("uvEndDate", end);
return "forward:/data";
}
// 统计活跃用户
@RequestMapping(path = "/data/dau", method = RequestMethod.POST)
public String getDAU(@DateTimeFormat(pattern = "yyyy-MM-dd") Date start,
@DateTimeFormat(pattern = "yyyy-MM-dd") Date end, Model model) {
long dau = dataService.calculateDAU(start, end);
model.addAttribute("dauResult", dau);
model.addAttribute("dauStartDate", start);
model.addAttribute("dauEndDate", end);
return "forward:/data";
}6.任务执行和调度
7.热帖排行
package com.jsss.community.config;
import com.jsss.community.quartz.AlphaJob;
import com.jsss.community.quartz.PostScoreRefreshJob;
import org.quartz.JobDataMap;
import org.quartz.JobDetail;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.quartz.JobDetailFactoryBean;
import org.springframework.scheduling.quartz.SimpleTriggerFactoryBean;
// 配置 -> 数据库 -> 调用
@Configuration
public class QuartzConfig {
// FactoryBean可简化Bean的实例化过程:
// 1.通过FactoryBean封装Bean的实例化过程.
// 2.将FactoryBean装配到Spring容器里.
// 3.将FactoryBean注入给其他的Bean.
// 4.该Bean得到的是FactoryBean所管理的对象实例.
// 配置JobDetail
// @Bean
public JobDetailFactoryBean alphaJobDetail() {
JobDetailFactoryBean factoryBean = new JobDetailFactoryBean();
factoryBean.setJobClass(AlphaJob.class);
factoryBean.setName("alphaJob");
factoryBean.setGroup("alphaJobGroup");
factoryBean.setDurability(true);//任务是否持久保存
factoryBean.setRequestsRecovery(true);//任务是否可恢复
return factoryBean;
}
// 配置Trigger(SimpleTriggerFactoryBean, CronTriggerFactoryBean)
// SimpleTriggerFactoryBean 简单的 SimpleTrigger 固定多久时间执行的CronTrigger
// @Bean
public SimpleTriggerFactoryBean alphaTrigger(JobDetail alphaJobDetail) {
SimpleTriggerFactoryBean factoryBean = new SimpleTriggerFactoryBean();
factoryBean.setJobDetail(alphaJobDetail);
factoryBean.setName("alphaTrigger");
factoryBean.setGroup("alphaTriggerGroup");
factoryBean.setRepeatInterval(3000);//多长时间执行一次
factoryBean.setJobDataMap(new JobDataMap());//存Trigger的状态
return factoryBean;
}
// 刷新帖子分数任务
@Bean
public JobDetailFactoryBean postScoreRefreshJobDetail() {
JobDetailFactoryBean factoryBean = new JobDetailFactoryBean();
factoryBean.setJobClass(PostScoreRefreshJob.class);
factoryBean.setName("postScoreRefreshJob");
factoryBean.setGroup("communityJobGroup");
factoryBean.setDurability(true);
factoryBean.setRequestsRecovery(true);
return factoryBean;
}
@Bean
public SimpleTriggerFactoryBean postScoreRefreshTrigger(JobDetail postScoreRefreshJobDetail) {
SimpleTriggerFactoryBean factoryBean = new SimpleTriggerFactoryBean();
factoryBean.setJobDetail(postScoreRefreshJobDetail);
factoryBean.setName("postScoreRefreshTrigger");
factoryBean.setGroup("communityTriggerGroup");
factoryBean.setRepeatInterval(1000 * 60 * 5);//ms->5分钟
factoryBean.setJobDataMap(new JobDataMap());
return factoryBean;
}
}package com.jsss.community.quartz;
import com.jsss.community.entity.DiscussPost;
import com.jsss.community.service.DiscussPostService;
import com.jsss.community.service.ElasticsearchService;
import com.jsss.community.service.LikeService;
import com.jsss.community.util.CommunityConstant;
import com.jsss.community.util.RedisKeyUtil;
import org.quartz.Job;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.RedisTemplate;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
public class PostScoreRefreshJob implements Job, CommunityConstant {
private static final Logger logger = LoggerFactory.getLogger(PostScoreRefreshJob.class);
@Autowired
private RedisTemplate redisTemplate;
@Autowired
private DiscussPostService discussPostService;
@Autowired
private LikeService likeService;
@Autowired
private ElasticsearchService elasticsearchService;
// 牛客纪元
private static final Date epoch;
static {
try {
epoch = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").parse("2014-08-01 00:00:00");
} catch (ParseException e) {
throw new RuntimeException("初始化牛客纪元失败!", e);
}
}
@Override
public void execute(JobExecutionContext context) throws JobExecutionException {
String redisKey = RedisKeyUtil.getPostScoreKey();
BoundSetOperations operations = redisTemplate.boundSetOps(redisKey);
if (operations.size() == 0) {
logger.info("[任务取消] 没有需要刷新的帖子!");
return;
}
logger.info("[任务开始] 正在刷新帖子分数: " + operations.size());
while (operations.size() > 0) {
this.refresh((Integer) operations.pop());
}
logger.info("[任务结束] 帖子分数刷新完毕!");
}
private void refresh(int postId) {
DiscussPost post = discussPostService.findDiscussPostById(postId);
if (post == null) {
logger.error("该帖子不存在: id = " + postId);
return;
}
// 是否精华
boolean wonderful = post.getStatus() == 1;
// 评论数量
int commentCount = post.getCommentCount();
// 点赞数量
long likeCount = likeService.findEntityLikeCount(ENTITY_TYPE_POST, postId);
// 计算权重=精华分＋评论数*10 +点赞数*2
double w = (wonderful ? 75 : 0) + commentCount * 10 + likeCount * 2;
// 分数 = 帖子权重 + 距离天数
double score = Math.log10(Math.max(w, 1))
+ (post.getCreateTime().getTime() - epoch.getTime()) / (1000 * 3600 * 24);
// 更新帖子分数
discussPostService.updateScore(postId, score);
// 同步搜索数据
post.setScore(score);
elasticsearchService.saveDiscussPost(post);
}
}8.生产长图
9.将文件上传至云服务器
10.优化网站性能
// Caffeine 核心接口：Cache,LoadingCache AsyncLoadingCache
// 帖子列表缓存
private LoadingCache<String,List<DiscussPost>> postListCache;
// 帖子总数缓存
private LoadingCache<Integer, Integer> postRowsCache;
@PostConstruct
public void init() {
// 初始化帖子列表缓存
postListCache = Caffeine.newBuilder()
.maximumSize(maxSize)
.expireAfterWrite(expireSeconds, TimeUnit.SECONDS)
.build(new CacheLoader<String, List<DiscussPost>>() {
@Nullable
@Override
public List<DiscussPost> load(@NonNull String key) throws Exception {
if (key == null || key.length() == 0) {
throw new IllegalArgumentException("参数错误!");
}
String[] params = key.split(":");
if (params == null || params.length != 2) {
throw new IllegalArgumentException("参数错误!");
}
int offset = Integer.valueOf(params[0]);
int limit = Integer.valueOf(params[1]);
// 二级缓存: Redis -> mysql
logger.debug("load post list from DB.");
return discussPostMapper.selectDiscussPosts(0, offset, limit, 1);
}
});
// 初始化帖子总数缓存
postRowsCache = Caffeine.newBuilder()
.maximumSize(maxSize)
.expireAfterWrite(expireSeconds, TimeUnit.SECONDS)
.build(new CacheLoader<Integer, Integer>() {
@Nullable
@Override
public Integer load(@NonNull Integer key) throws Exception {
logger.debug("load post rows from DB.");
return discussPostMapper.selectDiscussPostRows(key);
}
});
}最后
这篇博客能写好的原因是：站在巨人的肩膀上
这篇博客要写好的目的是：做别人的肩膀
开源：为爱发电
学习：为我而行
