springboot 配置quart多数据源

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

<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.1.6.RELEASE</version>
<relativePath/>
</parent><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>1.1.17</version>
</dependency><dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>


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();
}


}