xxl-job概述

windows部署调度中心

运行 xxl-job\doc\db\tables_xxl_job.sql
修改 xxl-job-admin子模块下的application.properties
```
spring.datasource.password=1234
```
启动 xxl-job-admin子模块下的启动程序
访问localhost:8080/xxl-job-admin, 账号: admin, 密码:123456

docker部署调度中心

创建mysql容器

docker run -p 3306:3306 --name mysql57 \
-v /opt/mysql/conf:/etc/mysql \
-v /opt/mysql/logs:/var/log/mysql \
-v /opt/mysql/data:/var/lib/mysql \
-e MYSQL_ROOT_PASSWORD=root \
-d mysql:5.7.25

拉取镜像

docker pull xuxueli/xxl-job-admin:2.3.0

创建xxl-job-admin容器

docker run -e PARAMS="--spring.datasource.url=jdbc:mysql://192.168.174.133:3306/xxl_job?Unicode=true&characterEncoding=UTF-8 \
--spring.datasource.username=root \
--spring.datasource.password=root" \
-p 8888:8080 -v /tmp:/data/applogs \
--name xxl-job-admin -d xuxueli/xxl-job-admin:2.3.0

xxl-job入门案例

调度中心新建示例任务

依赖

<dependency>
    <groupId>com.xuxueli</groupId>
    <artifactId>xxl-job-core</artifactId>
    <version>2.3.0</version>
</dependency>

配置
application.yml

server:
  port: 8881

xxl:
  job:
    admin:
      addresses: http://192.168.174.133:8888/xxl-job-admin
    executor:
      appname: xxl-job-executor-sample
      port: 9999

XxlJobConfig.java

java">@Configuration
public class XxlJobConfig {
    private Logger logger = LoggerFactory.getLogger(XxlJobConfig.class);

    @Value("${xxl.job.admin.addresses}")
    private String adminAddresses;

    @Value("${xxl.job.executor.appname}")
    private String appname;

    @Value("${xxl.job.executor.port}")
    private int port;

    @Bean
    public XxlJobSpringExecutor xxlJobExecutor() {
        logger.info(">>>>>>>>>>> xxl-job config init.");
        XxlJobSpringExecutor xxlJobSpringExecutor = new XxlJobSpringExecutor();
        xxlJobSpringExecutor.setAdminAddresses(adminAddresses);
        xxlJobSpringExecutor.setAppname(appname);
        xxlJobSpringExecutor.setPort(port);

        return xxlJobSpringExecutor;
    }

    /**
     * 针对多网卡、容器内部署等情况，可借助 "spring-cloud-commons" 提供的 "InetUtils" 组件灵活定制注册IP；
     *
     *      1、引入依赖：
     *          <dependency>
     *             <groupId>org.springframework.cloud</groupId>
     *             <artifactId>spring-cloud-commons</artifactId>
     *             <version>${version}</version>
     *         </dependency>
     *
     *      2、配置文件，或者容器启动变量
     *          spring.cloud.inetutils.preferred-networks: 'xxx.xxx.xxx.'
     *
     *      3、获取IP
     *          String ip_ = inetUtils.findFirstNonLoopbackHostInfo().getIpAddress();
     */
}

任务代码

java">@Component
public class HelloJob {

    @XxlJob("demoJobHandler")
    public void demoJobHandler()
    {
        XxlJobHelper.log("XXL-JOB, Hello World.");
        System.out.println("简单任务执行...");
    }

}

xxl-job分片广播

创建分片执行器 xxl-job-sharding-sample
创建任务, 路由策略为分片广播

分片广播任务代码, 创建多个实例

java">@XxlJob("shardingJobHandler")
public void shardingJobHandler()
{
    // 分片的参数
    int shardIndex = XxlJobHelper.getShardIndex(); // 实例在集群中的序号
    int shardTotal = XxlJobHelper.getShardTotal(); // 集群总量

    // 业务逻辑
    List<Integer> list = getList();
    for (Integer integer : list) {
        if(integer % shardTotal == shardIndex){
            System.out.println("当前分片: "+shardIndex+", 当前任务项: "+integer);
        }
    }
}

public List<Integer> getList()
{
    List<Integer> list = new ArrayList<>();
    for (int i = 0; i < 10000; i++) {
        list.add(i);
    }
    return list;
}

热点文章定时计算

思路分析

具体实现

热文章计算

java">@Slf4j
@Service
@Transactional
public class HotArticleServiceImpl implements HotArticleService {

    @Autowired
    private ApArticleMapper apArticleMapper;

    /**
     * 计算热门文章
     */
    @Override
    public void computeHotArticle() {
        // 1. 查询前5天的文章数据
        Date dayParam = DateTime.now().minusDays(5).toDate();
        List<ApArticle> articleList = apArticleMapper.findArticleListByLast5days(dayParam);

        // 2. 计算文章的分值
        List<HotArticleVo> hotArticleVoList = getHotArticleVoList(articleList);

        // 3. 为每个频道缓存30条分值较高的文章
        cacheTagToRedis(hotArticleVoList);
    }

    @Autowired
    private IWemediaClient wemediaClient;

    @Autowired
    private CacheService cacheService;


    /**
     * 为每个频道缓存30条分值较高的文章
     * @param hotArticleVoList
     */
    private void cacheTagToRedis(List<HotArticleVo> hotArticleVoList) {
        // 为每个频道缓存30条分值较高的文章
        ResponseResult responseResult = wemediaClient.getChannels();
        if(responseResult.getCode().equals(200)){
            String jsonString = JSON.toJSONString(responseResult.getData());
            List<WmChannel> wmChannelList = JSON.parseArray(jsonString, WmChannel.class);
            // 检索出每个频道的文章
            if(wmChannelList!=null){
                for (WmChannel wmChannel : wmChannelList) {
                    List<HotArticleVo> hotArticleVos = hotArticleVoList.stream().filter(item ->
                        item.getChannelId().equals(wmChannel.getId())
                    ).collect(Collectors.toList());

                    // 给文章排序, 取30条分值较高的文章存入redis key: 频道id value: 30条分值较高的文章
                    sortAndCache(hotArticleVos, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + wmChannel.getId());
                }
            }
        }

        // 设置推荐数据
        // 给文章排序, 取30条分值较高的文章存入redis key: 频道id value: 30条分值较高的文章
        sortAndCache(hotArticleVoList, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + ArticleConstants.DEFAULT_TAG);
    }

    /**
     * 排序并且缓存数据
     * @param hotArticleVos
     * @param key
     */
    private void sortAndCache(List<HotArticleVo> hotArticleVos, String key) {
        hotArticleVos = hotArticleVos.stream().sorted(
                Comparator.comparing(HotArticleVo::getScore).reversed()
        ).collect(Collectors.toList());
        if(hotArticleVos.size() > 30){
            hotArticleVos = hotArticleVos.subList(0, 30);
        }
        cacheService.set(key, JSON.toJSONString(hotArticleVos));
    }


    /**
     * 获取热文章列表
     * @param articleList
     * @return
     */
    private List<HotArticleVo> getHotArticleVoList(List<ApArticle> articleList) {
        List<HotArticleVo> articleVoList = new ArrayList<>();
        if(articleList!=null) {
            for (ApArticle apArticle : articleList) {
                HotArticleVo hotArticleVo = new HotArticleVo();
                BeanUtils.copyProperties(apArticle, hotArticleVo);
                Integer score = computeArticleScore(apArticle);
                hotArticleVo.setScore(score);
                articleVoList.add(hotArticleVo);
            }
        }
        return articleVoList;
    }

    /**
     * 计算文章分数
     * @param apArticle
     * @return
     */
    private Integer computeArticleScore(ApArticle apArticle) {
        Integer score = 0;
        if(apArticle.getLikes() != null){
            score += ArticleConstants.HOT_ARTICLE_LIKE_WEIGHT*apArticle.getLikes();
        }
        if(apArticle.getComment() != null){
            score += ArticleConstants.HOT_ARTICLE_COMMENT_WEIGHT*apArticle.getComment();
        }
        if(apArticle.getCollection() != null){
            score += ArticleConstants.HOT_ARTICLE_COLLECTION_WEIGHT*apArticle.getCollection();
        }
        if(apArticle.getViews() != null){
            score += apArticle.getViews();
        }
        return score;
    }
}

// ApArticleMapper.java
List<ApArticle> findArticleListByLast5days(@Param("dayParam") Date dayParam);

// ApArticleMapper.xml
<select id="findArticleListByLast5days" resultType="com.heima.model.article.pojos.ApArticle">
    SELECT
    aa.*
    FROM
    `ap_article` aa
    LEFT JOIN ap_article_config aac ON aa.id = aac.article_id
    <where>
        and aac.is_delete != 1
        and aac.is_down != 1
        <if test="dayParam != null">
            and aa.publish_time <![CDATA[>=]]> #{dayParam}
        </if>
    </where>
</select>

总结:

ApArticleMapper.java中的形参必须添加@Param注解, 否则在ApArticleMapper.xml中会将dayParam解释为Date的属性然后报错.

定时计算

新建热文章计算执行器leadnews-hot-article-executor
新建定时任务
依赖和配置

任务代码

java">@Component
@Slf4j
public class ComputeHotArticleJob {

    @Autowired
    private HotArticleService hotArticleService;

    @XxlJob("computeHotArticleJob")
    public void handle()
    {
        log.info("热文章分值计算调度任务开始执行...");
        hotArticleService.computeHotArticle();
        log.info("热文章分值计算调度任务执行结束...");
    }

}

查询文章接口改造

java">// article-Controller
public class ArticleHomeController {

    ...

    public ResponseResult load(@RequestBody ArticleHomeDto articleHomeDto)
    {
        // return apArticleService.load(articleHomeDto, ArticleConstants.LOADTYPE_LOAD_MORE);
        return apArticleService.load2(articleHomeDto, ArticleConstants.LOADTYPE_LOAD_MORE, true);
    }

    ...
}

// article-Service
public ResponseResult load2(ArticleHomeDto dto, Short type, boolean firstPage) {
    if(firstPage==true){
        String jsonString = cacheService.get(ArticleConstants.HOT_ARTICLE_FIRST_PAGE + dto.getTag());
        if(StringUtils.isNotBlank(jsonString)){
            List<HotArticleVo> hotArticleVoList = JSON.parseArray(jsonString, HotArticleVo.class);
            return ResponseResult.okResult(hotArticleVoList);
        }
    }
    return load(dto, type);
}