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  • springboot+mybatisplus+druid数据库

    1.添加maven依赖

      <dependency>
                <groupId>com.baomidou</groupId>
                <artifactId>mybatisplus-spring-boot-starter</artifactId>
                <version>1.0.5</version>
            </dependency>
            <dependency>
                <groupId>com.baomidou</groupId>
                <artifactId>mybatis-plus</artifactId>
                <version>2.1.9</version>
            </dependency>
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
            </dependency>
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>druid</artifactId>
                <version>1.1.16</version>
            </dependency>

    2.配置文件

    mybatis-plus.configuration.map-underscore-to-camel-case=true
    mybatis-plus.mapper-locations=classpath:mapper/*.xml
    spring.datasource.url=jdbc:mysql://192.168.5.104:3306/massagecenter?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT spring.datasource.username=zhangxiongfeng spring.datasource.password=%TGB7ygv spring.datasource.driverClassName=com.mysql.jdbc.Driver spring.datasource.type=com.alibaba.druid.pool.DruidDataSource spring.datasource.initialSize=5 spring.datasource.minIdle=5 spring.datasource.maxActive=20 spring.datasource.maxWait=60000 spring.datasource.timeBetweenEvictionRunsMillis=60000 spring.datasource.minEvictableIdleTimeMillis=300000 spring.datasource.validationQuery=SELECT 1 FROM DUAL spring.datasource.testWhileIdle=true spring.datasource.testOnBorrow=false spring.datasource.testOnReturn=false spring.datasource.poolPreparedStatements=true spring.datasource.maxPoolPreparedStatementPerConnectionSize=20 spring.datasource.filters=stat,wall,log4j spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

    数据库连接池参数解释:

    # 初始化大小,最小,最大
    
    spring.datasource.initialSize=5
    
    spring.datasource.minIdle=5
    
    spring.datasource.maxActive=20
    
    # 配置获取连接等待超时的时间
    
    spring.datasource.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
    
    spring.datasource.timeBetweenEvictionRunsMillis=60000
    
    # 配置一个连接在池中最小生存的时间,单位是毫秒
    
    spring.datasource.minEvictableIdleTimeMillis=300000
    
    spring.datasource.validationQuery=SELECT 1 FROM DUAL
    
    spring.datasource.testWhileIdle=true
    
    spring.datasource.testOnBorrow=false
    
    spring.datasource.testOnReturn=false
    
    # 打开PSCache,并且指定每个连接上PSCache的大小
    
    spring.datasource.poolPreparedStatements=true
    
    spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
    
    # 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
    
    spring.datasource.filters=stat,wall,log4j
    
    # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    
    spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
    
    # 合并多个DruidDataSource的监控数据
    
    #spring.datasource.useGlobalDataSourceStat=true
    
    需要注意的是:spring.datasource.type旧的spring boot版本是不能识别的

    3置DataSourceConfig配置

    package com.zxf.massagecenter.config;
    
    import com.alibaba.druid.pool.DruidDataSource;
    import org.apache.ibatis.session.SqlSessionFactory;
    import org.mybatis.spring.SqlSessionFactoryBean;
    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.jdbc.datasource.DataSourceTransactionManager;
    import org.springframework.transaction.PlatformTransactionManager;
    
    import javax.sql.DataSource;
    import java.sql.SQLException;
    
    @Configuration
    public class DataSourceConfig {
    
    
        @Value("${spring.datasource.url}")
        private String dbUrl;
    
        @Value("${spring.datasource.username}")
        private String username;
    
        @Value("${spring.datasource.password}")
        private String password;
    
        @Value("${spring.datasource.driverClassName}")
        private String driverClassName;
    
        @Value("${spring.datasource.initialSize}")
        private int initialSize;
    
        @Value("${spring.datasource.minIdle}")
        private int minIdle;
    
        @Value("${spring.datasource.maxActive}")
        private int maxActive;
    
        @Value("${spring.datasource.maxWait}")
        private int maxWait;
    
        @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
        private int timeBetweenEvictionRunsMillis;
    
        @Value("${spring.datasource.minEvictableIdleTimeMillis}")
        private int minEvictableIdleTimeMillis;
    
        @Value("${spring.datasource.validationQuery}")
        private String validationQuery;
    
        @Value("${spring.datasource.testWhileIdle}")
        private boolean testWhileIdle;
    
        @Value("${spring.datasource.testOnBorrow}")
        private boolean testOnBorrow;
    
        @Value("${spring.datasource.testOnReturn}")
        private boolean testOnReturn;
    
        @Value("${spring.datasource.poolPreparedStatements}")
        private boolean poolPreparedStatements;
    
        @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
        private int maxPoolPreparedStatementPerConnectionSize;
    
        @Value("${spring.datasource.filters}")
        private String filters;
    
        @Value("${spring.datasource.connectionProperties}")
        private String connectionProperties;
    
        @Bean     //声明其为Bean实例
        @Primary  //在同样的DataSource中,首先使用被标注的DataSource
        public DataSource dataSource(){
            DruidDataSource datasource = new DruidDataSource();
    
            datasource.setUrl(this.dbUrl);
            datasource.setUsername(username);
            datasource.setPassword(password);
            datasource.setDriverClassName(driverClassName);
    
            //configuration
            datasource.setInitialSize(initialSize);
            datasource.setMinIdle(minIdle);
            datasource.setMaxActive(maxActive);
            datasource.setMaxWait(maxWait);
            datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
            datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
            datasource.setValidationQuery(validationQuery);
            datasource.setTestWhileIdle(testWhileIdle);
            datasource.setTestOnBorrow(testOnBorrow);
            datasource.setTestOnReturn(testOnReturn);
            datasource.setPoolPreparedStatements(poolPreparedStatements);
            datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
            try {
                datasource.setFilters(filters);
            } catch (SQLException e) {
                //log.error("druid configuration initialization filter", e);
            }
            datasource.setConnectionProperties(connectionProperties);
    
            return datasource;
        }
    
        @Bean
        public SqlSessionFactory sqlSessionFactory() throws Exception {
            SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
            sqlSessionFactoryBean.setDataSource(dataSource());
            return sqlSessionFactoryBean.getObject();
        }
    
        @Bean
        public PlatformTransactionManager transactionManager() throws SQLException {
            return new DataSourceTransactionManager(dataSource());
        }
    }
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  • 原文地址:https://www.cnblogs.com/zxf330301/p/11138406.html
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