SpringBoot2集成Quartz配置独立数据源

需求说明

Quartz配置需要部署独立的表结构，但是经常存于业务表之间，有些时候可能需要与业务表分开配置，所以在此给Quartz配置独立的数据源

一.版本介绍

Springboot版本为2.1.6 多数据源配置使用druid进行配置,数据库使用的为Oracle11g,如果使用的是MySQL,直接将数据库的地址和驱动改一下即可

    
        org.springframework.boot
        spring-boot-starter-parent
        2.1.6.RELEASE
        
    
    
    
            org.springframework.boot
            spring-boot-starter-quartz
    
    
    
            com.alibaba
            druid-spring-boot-starter
            1.1.17
    
    
    
            org.projectlombok
            lombok
            true
    

二.Quartz配置介绍

spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: oracle.jdbc.driver.OracleDriver
    druid:
      business: # 配置业务数据源
        url: jdbc:oracle:thin:@127.0.0.1:1521:orcl
        username: business
        password: business
      quartz:   #配置Quartz数据源
        url: jdbc:oracle:thin:@127.0.0.1:1521:orcl
        username: quartz
        password: quartz
      # 下面为连接池的补充设置，应用到上面所有数据源中
      # 初始化大小，最小，最大
      initialSize: 5
      minIdle: 5
      maxActive: 15
      # 配置获取连接等待超时的时间
      maxWait: 60000
      # 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
      timeBetweenEvictionRunsMillis: 60000
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1 FROM DUAL
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      # 打开PSCache，并且指定每个连接上PSCache的大小
      poolPreparedStatements: true
      # 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
      maxPoolPreparedStatementPerConnectionSize: 20
      filters: stat,wall,log4j2
      # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
      connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
      # 合并多个DruidDataSource的监控数据
      useGlobalDataSourceStat: true
      remove-abandoned: true
      remove-abandoned-timeout: 180
      log-abandoned: true
  quartz:
    jdbc:
      initialize-schema: never #配置是否每次重启项目都自动生成Quartz表结构,在此使用always生成一次后就可以改为never配置
    job-store-type: jdbc
    properties:
      org:
        quartz:
          scheduler:
            instanceName: etlCleanScheduler
            instanceId: AUTO
          jobStore:
            class: org.quartz.impl.jdbcjobstore.JobStoreTX
            driverDelegateClass: org.quartz.impl.jdbcjobstore.StdJDBCDelegate
            tablePrefix: QRTZ_  #Quartz表前缀
            isClustered: true
            clusterCheckinInterval: 10000
            useProperties: false
          threadPool:
            class: org.quartz.simpl.SimpleThreadPool
            #线程数 一个任务使用一个线程
            threadCount: 100
            threadPriority: 5
            threadsInheritContextClassLoaderOfInitializingThread: true

三.配置多数据源

package com.rubikstack.etlclean.config;

import com.alibaba.druid.pool.DruidDataSource;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.quartz.QuartzDataSource;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import tk.mybatis.spring.annotation.MapperScan;

import javax.sql.DataSource;
import java.util.Properties;

@Slf4j
@Configuration
@MapperScan(basePackages = DataSourceConfig.MAPPER_PACKAGE, sqlSessionFactoryRef = DataSourceConfig.SESSION_FACTORY)
public class DataSourceConfig {

    @Value("${mybatis.queryLimit}")
    private String queryLimit;

    static final String SESSION_FACTORY = "dbSqlSessionFactory";

    private static final String DATASOURCE_NAME = "dbDataSource";

    /**
     * mapper类的包路径
     */
    static final String MAPPER_PACKAGE = "com.example.mapper";

    static final String MODEL_PACKAGE = "com.example.model";

    /**
     * 自定义mapper的xml文件路径
     */
    private static final String MAPPER_XML_PATH = "classpath*:com.example.mapper/*Mapper.xml";

    /**
     * 数据源配置的前缀，必须与application.properties中配置的对应数据源的前缀一致
     */
    private static final String BUSINESS_DATASOURCE_PREFIX = "spring.datasource.druid.business";

    private static final String QUARTZ_DATASOURCE_PREFIX = "spring.datasource.druid.quartz";

    @Primary
    @Bean(name = DATASOURCE_NAME)
    @ConfigurationProperties(prefix = BUSINESS_DATASOURCE_PREFIX)
    public DruidDataSource druidDataSource() {
        return new DruidDataSource();
    }

    /**
     * 配置Mybatis环境
     */
    @Primary
    @Bean(name = SESSION_FACTORY)
    public SqlSessionFactory sqlSessionFactory() {
        log.info("配置SqlSessionFactory开始");
        final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean();
        sessionFactoryBean.setDataSource(druidDataSource());
        try {
            PathMatchingResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
            // 自定义mapper的xml文件地址，当通用mapper提供的默认功能无法满足我们的需求时，可以自己添加实现，与mybatis写mapper一样
            sessionFactoryBean.setMapperLocations(resolver.getResources(MAPPER_XML_PATH));
            org.apache.ibatis.session.Configuration configuration = new org.apache.ibatis.session.Configuration();
            Properties properties = new Properties();
            properties.put("queryLimit",queryLimit);
            configuration.setVariables(properties);
            configuration.setMapUnderscoreToCamelCase(true);
            configuration.setLogImpl(org.apache.ibatis.logging.stdout.StdOutImpl.class);
            sessionFactoryBean.setConfiguration(configuration);
            sessionFactoryBean.setTypeAliasesPackage(MODEL_PACKAGE);
            return sessionFactoryBean.getObject();
        } catch (Exception e) {
            log.error("配置SqlSessionFactory失败，error:{}", e.getMessage());
            throw new RuntimeException(e.getMessage());
        }
    }

    /**
     * @QuartzDataSource 注解则是配置Quartz独立数据源的配置
     */
    @Bean
    @QuartzDataSource 
    @ConfigurationProperties(prefix = QUARTZ_DATASOURCE_PREFIX)
    public DataSource quartzDataSource(){
        return new DruidDataSource();
    }
}

有关@QuartzDataSource的配置请看SpringBoot官方文档
https://docs.spring.io/spring-boot/docs/current-SNAPSHOT/reference/htmlsingle/#boot-features-quartz