springboot+mybatis+druid数据库连接池

参考博客https://blog.csdn.net/liuxiao723846/article/details/80456025

1、先在pom.xml中引入druid依赖包

<!-- 连接池 -->
<!-- Druid 数据连接池依赖 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.13</version>
</dependency>

2、配置propertie文件

#mybatis.type-aliases-package=com.example.demo.model
#mybatis.mapper-locations=classpath*:com/example/demo/mapper/*.xml
#spring.datasource.url=jdbc:mysql://localhost:3306/day13?useUnicode=true&characterEncoding=utf-8
#spring.datasource.username=root
#spring.datasource.password=
#spring.datasource.driver-class-name=com.mysql.jdbc.Driver

ds1.datasource.url=jdbc:mysql://localhost:3306/day13?useUnicode=true&characterEncoding=utf-8
ds1.datasource.username=root
ds1.datasource.password=
ds1.datasource.driverClassName=com.mysql.jdbc.Driver

ds1.datasource.initialSize=20
ds1.datasource.minIdle=20
ds1.datasource.maxActive=200
ds1.datasource.maxWait=60000
ds1.datasource.timeBetweenEvictionRunsMillis=60000
ds1.datasource.minEvictableIdleTimeMillis=300000
ds1.datasource.testWhileIdle=true
ds1.datasource.testOnBorrow=false
ds1.datasource.testOnReturn=false
ds1.datasource.poolPreparedStatements=true
ds1.datasource.maxPoolPreparedStatementPerConnectionSize=20

3、spring-boot不支持自动配druid连接池，通过定制化DataSource来实现

package com.example.demo.bean;

import com.alibaba.druid.pool.DruidDataSource;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
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 org.springframework.jdbc.datasource.DataSourceTransactionManager;

import javax.sql.DataSource;
import java.sql.SQLException;

@Configuration
@MapperScan(basePackages = DataSourceConfig.PACKAGE,sqlSessionFactoryRef = "sqlSessionFactory")
public class DataSourceConfig {
    static final String PACKAGE = "com.example.demo.model";
    static final String MAPPER_LOCATION = "classpath*:com/example/demo/mapper/*.xml";

    @Value("${ds1.datasource.url}")
    private String url;
    @Value("${ds1.datasource.username}")
    private String username;
    @Value("${ds1.datasource.password}")
    private String password;
    @Value("${ds1.datasource.driverClassName}")
    private String driverClassName;

    @Value("${ds1.datasource.maxActive}")
    private Integer maxActive;
    @Value("${ds1.datasource.minIdle}")
    private Integer minIdle;
    @Value("${ds1.datasource.initialSize}")
    private Integer initialSize;
    @Value("${ds1.datasource.maxWait}")
    private Long maxWait;
    @Value("${ds1.datasource.timeBetweenEvictionRunsMillis}")
    private Long timeBetweenEvictionRunsMillis;
    @Value("${ds1.datasource.minEvictableIdleTimeMillis}")
    private Long minEvictableIdleTimeMillis;
    @Value("${ds1.datasource.testWhileIdle}")
    private Boolean testWhileIdle;
    @Value("${ds1.datasource.testWhileIdle}")
    private Boolean testOnBorrow;
    @Value("${ds1.datasource.testOnBorrow}")
    private Boolean testOnReturn;

    @Bean(name = "dataSource")
    @Primary
    public DataSource dataSource(){
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setDriverClassName(driverClassName);
        dataSource.setUrl(url);
        dataSource.setUsername(username);
        dataSource.setPassword(password);

        //连接池配置
        dataSource.setMaxActive(maxActive);
        dataSource.setMinIdle(minIdle);
        dataSource.setInitialSize(initialSize);
        dataSource.setMaxWait(maxWait);
        dataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        dataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        dataSource.setTestWhileIdle(testWhileIdle);
        dataSource.setTestOnBorrow(testOnBorrow);
        dataSource.setTestOnReturn(testOnReturn);

        dataSource.setValidationQuery("SELECT ‘x‘");
        dataSource.setPoolPreparedStatements(true);
        dataSource.setMaxPoolPreparedStatementPerConnectionSize(20);
        try {
            dataSource.setFilters("stat");
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return dataSource;
    }

    @Bean(name = "transactionManager")
    @Primary
    public DataSourceTransactionManager transactionManager(){
        return new DataSourceTransactionManager(dataSource());
    }

    @Bean(name = "sqlSessionFactory")
    @Primary
    public SqlSessionFactory ds1SqlSessionFactory(@Qualifier("dataSource") DataSource dataSource) throws Exception {
        final SqlSessionFactoryBean sessionFactoryBean = new SqlSessionFactoryBean();
        sessionFactoryBean.setDataSource(dataSource);
        sessionFactoryBean.setTypeAliasesPackage("com.example.demo.model");
        sessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(DataSourceConfig.MAPPER_LOCATION));
        return sessionFactoryBean.getObject();
    }
}

DruidDBConfig类被@Configuration标注，用作配置信息； DataSource对象被@Bean声明，为Spring容器所管理， @Primary表示这里定义的DataSource将覆盖其他来源的DataSource

4、直接使用

原文地址：https://www.cnblogs.com/tianphone/p/10756669.html