时间:2021-05-20
本文实例为大家分享了SpringBoot整合Mybatis使用Druid数据库连接池的方法,具体内容如下
在SpringBoot项目中,增加如下依赖
<!-- spring mybatis --> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.1.1</version> </dependency> <!-- mysql --> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <!-- druid数据库连接池 --> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.26</version> </dependency>在resource目录下,创建jdbc.properties配置文件,加入以下配置
#数据库配置spring.datasource.url=jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=falsespring.datasource.username=adminspring.datasource.password=adminspring.datasource.driver-class-name=com.mysql.jdbc.Driver# 连接池配置# 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# 测试连接是否有效的sqlspring.datasource.validationQuery=select 'x'# 建议配置为true,不影响性能,并且保证安全性# 申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,执行validationQuery检测连接是否有效spring.datasource.testWhileIdle=true# 申请连接时执行validationQuery检测连接是否有效spring.datasource.testOnBorrow=false# 归还连接时执行validationQuery检测连接是否有效spring.datasource.testOnReturn=false# 要启用PSCache,必须配置大于0,当大于0时,poolPreparedStatements自动触发修改为truespring.datasource.maxPoolPreparedStatementPerConnectionSize=20# 属性类型是字符串,通过别名的方式配置扩展插件,常用的插件有:# 监控统计用的filter:stat# 日志用的filter:log4j# 防御sql注入的filter:wallspring.datasource.filters=stat,log4j,wall创建数据源配置类DataSourceConfig.java,代码如下
package com.liao.mybatis;import com.alibaba.druid.pool.DruidDataSource;import org.mybatis.spring.annotation.MapperScan;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Value;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.context.annotation.PropertySource;import org.springframework.stereotype.Component;import javax.sql.DataSource;import java.sql.SQLException;/** * 数据源 * * @author hongyangliao * @ClassName: DataSourceConfig * @Date 18-1-2 下午8:56 */@Configuration@MapperScan("com.liao.**.dao")public class DataSourceConfig { private static final Logger logger = LoggerFactory.getLogger(DataSourceConfig.class); @Autowired private JdbcConfig jdbcConfig; @Bean @Primary //在同样的DataSource中,首先使用被标注的DataSource public DataSource dataSource() { DruidDataSource druidDataSource = new DruidDataSource(); druidDataSource.setUrl(jdbcConfig.getUrl()); druidDataSource.setUsername(jdbcConfig.getUserName()); druidDataSource.setPassword(jdbcConfig.getPassword()); druidDataSource.setInitialSize(jdbcConfig.getInitialSize()); druidDataSource.setMinIdle(jdbcConfig.getMinIdle()); druidDataSource.setMaxActive(jdbcConfig.getMaxActive()); druidDataSource.setTimeBetweenEvictionRunsMillis(jdbcConfig.getTimeBetweenEvictionRunsMillis()); druidDataSource.setMinEvictableIdleTimeMillis(jdbcConfig.getMinEvictableIdleTimeMillis()); druidDataSource.setValidationQuery(jdbcConfig.getValidationQuery()); druidDataSource.setTestWhileIdle(jdbcConfig.isTestWhileIdle()); druidDataSource.setTestOnBorrow(jdbcConfig.isTestOnBorrow()); druidDataSource.setTestOnReturn(jdbcConfig.isTestOnReturn()); druidDataSource.setMaxPoolPreparedStatementPerConnectionSize(jdbcConfig.getMaxPoolPreparedStatementPerConnectionSize()); try { druidDataSource.setFilters(jdbcConfig.getFilters()); } catch (SQLException e) { if (logger.isInfoEnabled()) { logger.info(e.getMessage(), e); } } return druidDataSource; } /** * Jdbc配置类 * * @author hongyangliao * @ClassName: JdbcConfig * @Date 18-1-2 下午9:00 */ @PropertySource(value = "classpath:jdbc.properties") @Component public static class JdbcConfig { /** * 数据库用户名 */ @Value("${spring.datasource.username}") private String userName; /** * 驱动名称 */ @Value("${spring.datasource.driver-class-name}") private String driverClass; /** * 数据库连接url */ @Value("${spring.datasource.url}") private String url; /** * 数据库密码 */ @Value("${spring.datasource.password}") private String password; /** * 数据库连接池初始化大小 */ @Value("${spring.datasource.initialSize}") private int initialSize; /** * 数据库连接池最小最小连接数 */ @Value("${spring.datasource.minIdle}") private int minIdle; /** * 数据库连接池最大连接数 */ @Value("${spring.datasource.maxActive}") private int maxActive; /** * 获取连接等待超时的时间 */ @Value("${spring.datasource.maxWait}") private long maxWait; /** * 多久检测一次 */ @Value("${spring.datasource.timeBetweenEvictionRunsMillis}") private long timeBetweenEvictionRunsMillis; /** * 连接在池中最小生存的时间 */ @Value("${spring.datasource.minEvictableIdleTimeMillis}") private long minEvictableIdleTimeMillis; /** * 测试连接是否有效的sql */ @Value("${spring.datasource.validationQuery}") private String validationQuery; /** * 申请连接的时候检测,如果空闲时间大于timeBetweenEvictionRunsMillis,检测连接是否有效 */ @Value("${spring.datasource.testWhileIdle}") private boolean testWhileIdle; /** * 申请连接时,检测连接是否有效 */ @Value("${spring.datasource.testOnBorrow}") private boolean testOnBorrow; /** * 归还连接时,检测连接是否有效 */ @Value("${spring.datasource.testOnReturn}") private boolean testOnReturn; /** * PSCache大小 */ @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}") private int maxPoolPreparedStatementPerConnectionSize; /** * 通过别名的方式配置扩展插件 */ @Value("${spring.datasource.filters}") private String filters; public String getUserName() { return userName; } public void setUserName(String userName) { this.userName = userName; } public String getDriverClass() { return driverClass; } public void setDriverClass(String driverClass) { this.driverClass = driverClass; } public String getUrl() { return url; } public void setUrl(String url) { this.url = url; } public String getPassword() { return password; } public void setPassword(String password) { this.password = password; } public int getInitialSize() { return initialSize; } public void setInitialSize(int initialSize) { this.initialSize = initialSize; } public int getMinIdle() { return minIdle; } public void setMinIdle(int minIdle) { this.minIdle = minIdle; } public int getMaxActive() { return maxActive; } public void setMaxActive(int maxActive) { this.maxActive = maxActive; } public long getMaxWait() { return maxWait; } public void setMaxWait(long maxWait) { this.maxWait = maxWait; } public long getTimeBetweenEvictionRunsMillis() { return timeBetweenEvictionRunsMillis; } public void setTimeBetweenEvictionRunsMillis(long timeBetweenEvictionRunsMillis) { this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis; } public long getMinEvictableIdleTimeMillis() { return minEvictableIdleTimeMillis; } public void setMinEvictableIdleTimeMillis(long minEvictableIdleTimeMillis) { this.minEvictableIdleTimeMillis = minEvictableIdleTimeMillis; } public String getValidationQuery() { return validationQuery; } public void setValidationQuery(String validationQuery) { this.validationQuery = validationQuery; } public boolean isTestWhileIdle() { return testWhileIdle; } public void setTestWhileIdle(boolean testWhileIdle) { this.testWhileIdle = testWhileIdle; } public boolean isTestOnBorrow() { return testOnBorrow; } public void setTestOnBorrow(boolean testOnBorrow) { this.testOnBorrow = testOnBorrow; } public boolean isTestOnReturn() { return testOnReturn; } public void setTestOnReturn(boolean testOnReturn) { this.testOnReturn = testOnReturn; } public int getMaxPoolPreparedStatementPerConnectionSize() { return maxPoolPreparedStatementPerConnectionSize; } public void setMaxPoolPreparedStatementPerConnectionSize(int maxPoolPreparedStatementPerConnectionSize) { this.maxPoolPreparedStatementPerConnectionSize = maxPoolPreparedStatementPerConnectionSize; } public String getFilters() { return filters; } public void setFilters(String filters) { this.filters = filters; } }}创建Session工厂配置类SessionFactoryConfig.java,代码如下
package com.liao.mybatis;import java.io.IOException;import javax.sql.DataSource;import org.mybatis.spring.SqlSessionFactoryBean;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.core.io.ClassPathResource;import org.springframework.transaction.annotation.EnableTransactionManagement;@Configuration@EnableTransactionManagement // 启注解事务管理,等同于xml配置方式的 <tx:annotation-driven />public class SessionFactoryConfig { /** * mybatis 配置路径 */ private static String MYBATIS_CONFIG = "mybatis-config.xml"; @Autowired private DataSource dataSource; /*** * 创建sqlSessionFactoryBean * 并且设置configtion 如驼峰命名.等等 * 设置mapper 映射路径 * 设置datasource数据源 * * @Title: createSqlSessionFactoryBean * @author: hongyangliao * @Date: 18-1-3 上午9:52 * @param * @return org.mybatis.spring.SqlSessionFactoryBean sqlSessionFactoryBean实例 * @throws */ @Bean(name = "sqlSessionFactory") public SqlSessionFactoryBean createSqlSessionFactoryBean() throws IOException { SqlSessionFactoryBean sqlSessionFactory = new SqlSessionFactoryBean(); // 设置mybatis configuration 扫描路径 sqlSessionFactory.setConfigLocation(new ClassPathResource(MYBATIS_CONFIG)); // 设置datasource sqlSessionFactory.setDataSource(dataSource); return sqlSessionFactory; }}以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。
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本文实例讲述了springboot配置DRUID数据源的方法。分享给大家供大家参考,具体如下:druid是阿里开源的数据库连接池。开发时整合druid数据源过程
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