spring-boot-2.0.3之quartz集成,不是你想的那样哦!

前言

  开心一刻

    晚上回家,爸妈正在吵架,见我回来就都不说话了,看见我妈坐在那里瞪着我爸,我就问老爸“你干什么了惹我妈生这么大气?”  我爸说“没有什么啊,倒是你,这么大了还没有媳妇,要是你有媳妇给我们生一个孙子玩,我们致于吵架吗?”我一听就感觉要坏,老爸你这是来了一招调虎离山啊,实力坑儿子啊,果然我妈改瞪我了,然后完全不理我爸,直接指着我开骂了……

  路漫漫其修远兮,吾将上下而求索!

  github:https://github.com/youzhibing

  码云(gitee):https://gitee.com/youzhibing

java定时任务调度的实现方式 

  Timer

    这个相信大家都有用过,我也用过,但用的不多;

    特点是:简单易用,但由于所有任务都是由同一个线程来调度,因此所有任务都是串行执行的,同一时间只能有一个任务在执行,前一个任务的延迟或异常都将会影响到之后的任务;能实现简单的定时任务,稍微复杂点(或要求高一些)的定时任务却不好实现。   ScheduledExecutor

    这个我相信大家也都用过,而且用的比Timer多;正是鉴于Timer的缺陷,Java 5推出了基于线程池设计的ScheduledExecutor;

    特点:每一个被调度的任务都会由线程池中一个线程去执行,因此任务是并发执行的,相互之间不会受到干扰。需要注意的是,只有当任务的执行时间到来时,ScheduedExecutor 才会真正启动一个线程,其余时间 ScheduledExecutor 都是在轮询任务的状态。

    虽然用ScheduledExecutor和Calendar能够实现复杂任务调度,但实现起来还是比较麻烦,对开发还是不够友善。

  Spring Scheduler

    spring对任务调度的实现支持,可以指定任务的执行时间,但对任务队列和线程池的管控较弱;一般集成于项目中,小任务很方便。   JCronTab

    JCronTab则是一款完全按照crontab语法编写的java任务调度工具。

    特点:

      可指定任务的执行时间;

      提供完全按照Unix的UNIX-POSIX crontab的格式来规定时间;

      支持多种任务调度的持久化方法,包括普通文件、数据库以及 XML 文件进行持久化;

      JCronTab内置了发邮件功能,可以将任务执行结果方便地发送给需要被通知的人;

      设计和部署是高性能并可扩展。

  Quartz

    本文主角,请往下看   当然还有XXL-JOB、Elastic-Job、Saturn等等

quartz相关概念

  Scheduler:调度器,进行任务调度;quartz的大脑   Job:业务job,亦可称业务组件;定时任务的具体执行业务需要实现此接口,调度器会调用此接口的execute方法完成我们的定时业务   JobDetail:用来定义业务Job的实例,我们可以称之为quartz job,很多时候我们谈到的job指的是JobDetail   Trigger:触发器,用来定义一个指定的Job何时被执行   JobBuilder:Job构建器,用来定义或创建JobDetail的实例;JobDetail限定了只能是Job的实例   TriggerBuilder:触发器构建器,用来定义或创建触发器的实例

  具体为什么要分这么细,大家可以去查阅下相关资料,你会发现很多东西

工程实现

  pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.lee</groupId>
    <artifactId>spring-boot-quartz</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <java.version>1.8</java.version>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <druid.version>1.1.10</druid.version>
        <pagehelper.version>1.2.5</pagehelper.version>
        <druid.version>1.1.10</druid.version>
    </properties>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.0.3.RELEASE</version>
    </parent>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-thymeleaf</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-quartz</artifactId>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>${druid.version}</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
        </dependency>
        <dependency>
            <groupId>com.github.pagehelper</groupId>
            <artifactId>pagehelper-spring-boot-starter</artifactId>
            <version>${pagehelper.version}</version>
        </dependency>

        <!-- 日志 -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-logging</artifactId>
            <exclusions>            <!-- 排除spring-boot-starter-logging中的全部依赖 -->
                <exclusion>
                    <groupId>*</groupId>
                    <artifactId>*</artifactId>
                </exclusion>
            </exclusions>
            <scope>test</scope>     <!-- 打包的时候不打spring-boot-starter-logging.jar -->
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
    </dependencies>

    <build>
        <finalName>spring-boot-quartz</finalName>
        <plugins>
            <!-- 打包项目 mvn clean package -->
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>
</project>

  application.xml

server:
  port: 9001
  servlet:
    context-path: /quartz
spring:
  thymeleaf:
    mode: HTML
    cache: false
  #连接池配置
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      driver-class-name: com.mysql.jdbc.Driver
      url: jdbc:mysql://localhost:3306/spring-boot-quartz?useSSL=false&useUnicode=true
      username: root
      password: 123456
      initial-size: 1                     #连接池初始大小
      max-active: 20                      #连接池中最大的活跃连接数
      min-idle: 1                         #连接池中最小的活跃连接数
      max-wait: 60000                     #配置获取连接等待超时的时间
      pool-prepared-statements: true    #打开PSCache,并且指定每个连接上PSCache的大小
      max-pool-prepared-statement-per-connection-size: 20
      validation-query: SELECT 1 FROM DUAL
      validation-query-timeout: 30000
      test-on-borrow: false             #是否在获得连接后检测其可用性
      test-on-return: false             #是否在连接放回连接池后检测其可用性
      test-while-idle: true             #是否在连接空闲一段时间后检测其可用性
  quartz:
    #相关属性配置
    properties:
      org:
        quartz:
          scheduler:
            instanceName: quartzScheduler
            instanceId: AUTO
          jobStore:
            class: org.quartz.impl.jdbcjobstore.JobStoreTX
            driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
            tablePrefix: QRTZ_
            isClustered: false
            clusterCheckinInterval: 10000
            useProperties: false
          threadPool:
            class: org.quartz.simpl.SimpleThreadPool
            threadCount: 10
            threadPriority: 5
            threadsInheritContextClassLoaderOfInitializingThread: true
    #数据库方式
    job-store-type: JDBC
    #初始化表结构
    jdbc:
      initialize-schema: NEVER
#mybatis配置
mybatis:
  type-aliases-package: com.lee.quartz.entity
  mapper-locations: classpath:mybatis/mapper/*.xml
#分页配置, pageHelper是物理分页插件
pagehelper:
  #4.0.0以后版本可以不设置该参数,该示例中是5.1.4
  helper-dialect: mysql
  #启用合理化,如果pageNum<1会查询第一页,如果pageNum>pages会查询最后一页
  reasonable: true
logging:
  level:
    com.lee.quartz.mapper: debug

  这样,quartz就配置好了,应用里面直接用即可

  JobController.java

package com.lee.quartz.web;


import com.github.pagehelper.PageInfo;
import com.lee.quartz.common.Result;
import com.lee.quartz.entity.QuartzJob;
import com.lee.quartz.service.IJobService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping("/job")
public class JobController {
    private final static Logger LOGGER = LoggerFactory.getLogger(JobController.class);

    @Autowired
    private IJobService jobService;
    
    @SuppressWarnings({ "unchecked", "rawtypes" })
    @PostMapping("/add")
    public Result save(QuartzJob quartz){
        LOGGER.info("新增任务");
        Result result = jobService.saveJob(quartz);
        return result;
    }
    @PostMapping("/list")
    public PageInfo list(String jobName,Integer pageNo,Integer pageSize){
        LOGGER.info("任务列表");
        PageInfo pageInfo = jobService.listQuartzJob(jobName, pageNo, pageSize);
        return pageInfo;
    }

    @PostMapping("/trigger")
    public  Result trigger(String jobName, String jobGroup) {
        LOGGER.info("触发任务");
        Result result = jobService.triggerJob(jobName, jobGroup);
        return result;
    }

    @PostMapping("/pause")
    public  Result pause(String jobName, String jobGroup) {
        LOGGER.info("停止任务");
        Result result = jobService.pauseJob(jobName, jobGroup);
        return result;
    }

    @PostMapping("/resume")
    public  Result resume(String jobName, String jobGroup) {
        LOGGER.info("恢复任务");
        Result result = jobService.resumeJob(jobName, jobGroup);
        return result;
    }

    @PostMapping("/remove")
    public  Result remove(String jobName, String jobGroup) {
        LOGGER.info("移除任务");
        Result result = jobService.removeJob(jobName, jobGroup);
        return result;
    }
}

  JobServiceImpl.java

package com.lee.quartz.service.impl;

import com.github.pagehelper.PageHelper;
import com.github.pagehelper.PageInfo;
import com.lee.quartz.common.Result;
import com.lee.quartz.entity.QuartzJob;
import com.lee.quartz.mapper.JobMapper;
import com.lee.quartz.service.IJobService;
import org.quartz.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.List;

@Service
public class JobServiceImpl implements IJobService {

    @Autowired
    private Scheduler scheduler;

    @Autowired
    private JobMapper jobMapper;

    @Override
    public PageInfo listQuartzJob(String jobName, Integer pageNum, Integer pageSize) {
        PageHelper.startPage(pageNum, pageSize);
        List<QuartzJob> jobList = jobMapper.listJob(jobName);
        PageInfo pageInfo = new PageInfo(jobList);
        return pageInfo;
    }

    @Override
    public Result saveJob(QuartzJob quartz){
        try {
            //如果是修改  展示旧的 任务
            if(quartz.getOldJobGroup() != null && !"".equals(quartz.getOldJobGroup())){
                JobKey key = new JobKey(quartz.getOldJobName(),quartz.getOldJobGroup());
                scheduler.deleteJob(key);
            }

            //构建job信息
            Class cls = Class.forName(quartz.getJobClassName()) ;
            cls.newInstance();
            JobDetail job = JobBuilder.newJob(cls).withIdentity(quartz.getJobName(),
                    quartz.getJobGroup())
                    .withDescription(quartz.getDescription()).build();
            // 触发时间点
            CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule(quartz.getCronExpression().trim());
            Trigger trigger = TriggerBuilder.newTrigger().withIdentity("trigger"+quartz.getJobName(), quartz.getJobGroup())
                    .startNow().withSchedule(cronScheduleBuilder).build();
            //交由Scheduler安排触发
            scheduler.scheduleJob(job, trigger);
        } catch (Exception e) {
            e.printStackTrace();
            return Result.error();
        }
        return Result.ok();
    }

    @Override
    public Result triggerJob(String jobName, String jobGroup) {
        JobKey key = new JobKey(jobName,jobGroup);
        try {
            scheduler.triggerJob(key);
        } catch (SchedulerException e) {
            e.printStackTrace();
            return Result.error();
        }
        return Result.ok();
    }

    @Override
    public Result pauseJob(String jobName, String jobGroup) {
        JobKey key = new JobKey(jobName,jobGroup);
        try {
            scheduler.pauseJob(key);
        } catch (SchedulerException e) {
            e.printStackTrace();
            return Result.error();
        }
        return Result.ok();
    }

    @Override
    public Result resumeJob(String jobName, String jobGroup) {
        JobKey key = new JobKey(jobName,jobGroup);
        try {
            scheduler.resumeJob(key);
        } catch (SchedulerException e) {
            e.printStackTrace();
            return Result.error();
        }
        return Result.ok();
    }

    @Override
    public Result removeJob(String jobName, String jobGroup) {
        try {
            TriggerKey triggerKey = TriggerKey.triggerKey(jobName, jobGroup);
            // 停止触发器
            scheduler.pauseTrigger(triggerKey);
            // 移除触发器
            scheduler.unscheduleJob(triggerKey);
            // 删除任务
            scheduler.deleteJob(JobKey.jobKey(jobName, jobGroup));
            System.out.println("removeJob:"+JobKey.jobKey(jobName));
        } catch (Exception e) {
            e.printStackTrace();
            return Result.error();
        }
        return Result.ok();
    }
}

  主要就是以上文件,详情请查看spring-boot-quartz

  工程里面数据源用的druid,springboot默认也会将该数据源应用到quartz,如果想给quartz单独配置数据源,可配合@QuartzDataSource来实现

  最终效果如下

trigger状态

  org.quartz.impl.jdbcjobstore.Constants中存放了一些列的常量,源代码如下

/* 
 * All content copyright Terracotta, Inc., unless otherwise indicated. All rights reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not 
 * use this file except in compliance with the License. You may obtain a copy 
 * of the License at 
 * 
 *   http://www.apache.org/licenses/LICENSE-2.0 
 *   
 * Unless required by applicable law or agreed to in writing, software 
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT 
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the 
 * License for the specific language governing permissions and limitations 
 * under the License.
 * 
 */

package org.quartz.impl.jdbcjobstore;

/**
 * <p>
 * This interface can be implemented by any <code>{@link
 * org.quartz.impl.jdbcjobstore.DriverDelegate}</code>
 * class that needs to use the constants contained herein.
 * </p>
 * 
 * @author <a href="mailto:jeff@binaryfeed.org">Jeffrey Wescott</a>
 * @author James House
 */
public interface Constants {

    /*
     * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     * 
     * Constants.
     * 
     * ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
     */

    // Table names
    String TABLE_JOB_DETAILS = "JOB_DETAILS";

    String TABLE_TRIGGERS = "TRIGGERS";

    String TABLE_SIMPLE_TRIGGERS = "SIMPLE_TRIGGERS";

    String TABLE_CRON_TRIGGERS = "CRON_TRIGGERS";

    String TABLE_BLOB_TRIGGERS = "BLOB_TRIGGERS";

    String TABLE_FIRED_TRIGGERS = "FIRED_TRIGGERS";

    String TABLE_CALENDARS = "CALENDARS";

    String TABLE_PAUSED_TRIGGERS = "PAUSED_TRIGGER_GRPS";

    String TABLE_LOCKS = "LOCKS";

    String TABLE_SCHEDULER_STATE = "SCHEDULER_STATE";

    // TABLE_JOB_DETAILS columns names
    
    String COL_SCHEDULER_NAME = "SCHED_NAME";
    
    String COL_JOB_NAME = "JOB_NAME";

    String COL_JOB_GROUP = "JOB_GROUP";

    String COL_IS_DURABLE = "IS_DURABLE";

    String COL_IS_VOLATILE = "IS_VOLATILE";

    String COL_IS_NONCONCURRENT = "IS_NONCONCURRENT";

    String COL_IS_UPDATE_DATA = "IS_UPDATE_DATA";

    String COL_REQUESTS_RECOVERY = "REQUESTS_RECOVERY";

    String COL_JOB_DATAMAP = "JOB_DATA";

    String COL_JOB_CLASS = "JOB_CLASS_NAME";

    String COL_DESCRIPTION = "DESCRIPTION";

    // TABLE_TRIGGERS columns names
    String COL_TRIGGER_NAME = "TRIGGER_NAME";

    String COL_TRIGGER_GROUP = "TRIGGER_GROUP";

    String COL_NEXT_FIRE_TIME = "NEXT_FIRE_TIME";

    String COL_PREV_FIRE_TIME = "PREV_FIRE_TIME";

    String COL_TRIGGER_STATE = "TRIGGER_STATE";

    String COL_TRIGGER_TYPE = "TRIGGER_TYPE";

    String COL_START_TIME = "START_TIME";

    String COL_END_TIME = "END_TIME";

    String COL_PRIORITY = "PRIORITY";

    String COL_MISFIRE_INSTRUCTION = "MISFIRE_INSTR";

    String ALIAS_COL_NEXT_FIRE_TIME = "ALIAS_NXT_FR_TM";

    // TABLE_SIMPLE_TRIGGERS columns names
    String COL_REPEAT_COUNT = "REPEAT_COUNT";

    String COL_REPEAT_INTERVAL = "REPEAT_INTERVAL";

    String COL_TIMES_TRIGGERED = "TIMES_TRIGGERED";

    // TABLE_CRON_TRIGGERS columns names
    String COL_CRON_EXPRESSION = "CRON_EXPRESSION";

    // TABLE_BLOB_TRIGGERS columns names
    String COL_BLOB = "BLOB_DATA";

    String COL_TIME_ZONE_ID = "TIME_ZONE_ID";

    // TABLE_FIRED_TRIGGERS columns names
    String COL_INSTANCE_NAME = "INSTANCE_NAME";

    String COL_FIRED_TIME = "FIRED_TIME";

    String COL_SCHED_TIME = "SCHED_TIME";
    
    String COL_ENTRY_ID = "ENTRY_ID";

    String COL_ENTRY_STATE = "STATE";

    // TABLE_CALENDARS columns names
    String COL_CALENDAR_NAME = "CALENDAR_NAME";

    String COL_CALENDAR = "CALENDAR";

    // TABLE_LOCKS columns names
    String COL_LOCK_NAME = "LOCK_NAME";

    // TABLE_LOCKS columns names
    String COL_LAST_CHECKIN_TIME = "LAST_CHECKIN_TIME";

    String COL_CHECKIN_INTERVAL = "CHECKIN_INTERVAL";

    // MISC CONSTANTS
    String DEFAULT_TABLE_PREFIX = "QRTZ_";

    // STATES
    String STATE_WAITING = "WAITING";

    String STATE_ACQUIRED = "ACQUIRED";

    String STATE_EXECUTING = "EXECUTING";

    String STATE_COMPLETE = "COMPLETE";

    String STATE_BLOCKED = "BLOCKED";

    String STATE_ERROR = "ERROR";

    String STATE_PAUSED = "PAUSED";

    String STATE_PAUSED_BLOCKED = "PAUSED_BLOCKED";

    String STATE_DELETED = "DELETED";

    /**
     * @deprecated Whether a trigger has misfired is no longer a state, but 
     * rather now identified dynamically by whether the trigger's next fire 
     * time is more than the misfire threshold time in the past.
     */
    String STATE_MISFIRED = "MISFIRED";

    String ALL_GROUPS_PAUSED = "_$_ALL_GROUPS_PAUSED_$_";

    // TRIGGER TYPES
    /** Simple Trigger type. */
    String TTYPE_SIMPLE = "SIMPLE";

    /** Cron Trigger type. */
    String TTYPE_CRON = "CRON";

    /** Calendar Interval Trigger type. */
    String TTYPE_CAL_INT = "CAL_INT";

    /** Daily Time Interval Trigger type. */
    String TTYPE_DAILY_TIME_INT = "DAILY_I";

    /** A general blob Trigger type. */
    String TTYPE_BLOB = "BLOB";
}

// EOF

  里面有quartz的表名、各个表包含的列名、trigger状态、trigger类型等内容

  状态包括

    WAITING:等待中     ACQUIRED:将触发,此时还未到trigger真正的触发时刻     EXECUTING:触发,亦可理解成执行中,trigger真正的触发时刻     COMPLETE:完成,不再触发     BLOCKED:受阻,不允许并发执行job时会出现(@DisallowConcurrentExecution)     ERROR:出错     PAUSED:暂停中     PAUSED_BLOCKED:暂停受阻,不允许并发执行job时会出现(@DisallowConcurrentExecution)     DELETED:已删除     MISFIRED:触发失败,已弃用,由另外的替代方式

  状态变化流程图如下所示

  trigger的初始状态是WAITING,处于WAITING状态的trigger等待被触发。调度线程会不停地扫triggers表,根据NEXT_FIRE_TIME提前拉取即将触发的trigger,如果这个trigger被该调度线程拉取到,它的状态就会变为ACQUIRED。因为是提前拉取trigger,并未到达trigger真正的触发时刻,所以调度线程会等到真正触发的时刻,再将trigger状态由ACQUIRED改为EXECUTING。如果这个trigger不再执行,就将状态改为COMPLETE,否则为WAITING,开始新的周期。如果这个周期中的任何环节抛出异常,trigger的状态会变成ERROR。如果手动暂停这个trigger,状态会变成PAUSED。

总结

  Quartz作为一个开源的作业调度框架,提供了巨大的灵活性而不牺牲简单性。我们能够用它来为执行一个作业而创建简单的或复杂的调度。它有很多特征,如:数据库、集群、插件、JavaMail支持,EJB作业预构建,支持cron-like表达式等等;

  springboot集成quartz非常简单,最简单的情况下只需要引入依赖我们就可以享受quartz提供的功能,springboot默认会帮我们配置好quartz;当然我们也可以自定义配置来实现quartz的定制;

参考

几种任务调度的Java实现方法与比较

小柒2012 / spring-boot-quartz

boot-features-quartz

作业调度系统—Quartz

记一次Quartz重复调度(任务重复执行)的问题排查

Quartz FAQ

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如果你也在用Mybatis,建议尝试该分页插件,个人感觉这个是最方便,超好用的分页插件。 该插件目前支持Oracle,Mysql,MariaDB,SQLite...

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来自专栏个人分享

Spark代码调优(一)

import org.apache.spark.sql.{DataFrame, Row, SQLContext}

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来自专栏小筱月

SSM 使用 mybatis 分页插件 pagehepler 实现分页

前几天在这里分享了手写 sql 分页查询实现分页,现在来看看使用 mybatis 分页插件 pagehepler 来实现分页

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来自专栏jeremy的技术点滴

SSM项目脚手架

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来自专栏Jed的技术阶梯

利用Sqoop实现HDFS的数据与MySQL数据的互导

注意: 查询语句必须包含where条件,即使不需要where条件,也需要写上"where $CONDITIONS"来表示没有select语句没有where条件

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来自专栏后台开发+音视频+ffmpeg

dpvs源码分析

dpvs是爱奇艺开源的,它是一款基于dpdk的高性能4层负载均衡器。源自于LVS和改版后的alibaba/LVS. dpvs即dpdk-lvs. 等多关于dpv...

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来自专栏.NET开发者社区

一步一步创建ASP.NET MVC5程序[Repository+Autofac+Automapper+SqlSugar](二)

在本系列第一篇《一步一步创建ASP.NET MVC5程序[Repository+Autofac+Automapper+SqlSugar](一)》中,我为大家介绍...

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来自专栏码匠的流水账

使用RSQL实现端到端的动态查询

RSQL(RESTful Service Query Language)是Feed Item Query Language (FIQL) 的超集,是一种REST...

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