Hikari
1、首先集成 hikari springboot默认集成，只需要简单的配置即可
1.1 首先导入包
<dependency> <groupId>com.zaxxer</groupId> <artifactId>HikariCP</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency>
1.2 编写配置文件
# hikari #spring.datasource.url=jdbc:mysql://127.0.0.1:3306/springboot2 #spring.datasource.username=root #spring.datasource.password=root #spring.datasource.driver-class-name=com.mysql.jdbc.Driver
1.3 编写配置类
package com.archibaldwitwicke.springboot2.chapter05.dao;
import org.springframework.context.annotation.Configuration;
@Configuration
public class DataSourceConfiguration {
// Hikari 连接池
// @Bean(name = "dataSource")
// public DataSource dataSource(@Autowired Environment environment) {
// HikariDataSource ds = new HikariDataSource();
// ds.setJdbcUrl(environment.getProperty("spring.datasource.url"));
// ds.setUsername(environment.getProperty("spring.datasource.username"));
// ds.setPassword(environment.getProperty("spring.datasource.password"));
// ds.setDriverClassName(environment.getProperty("spring.datasource.driver-class-name"));
// return ds;
// }
}
1.4 然后即可即可 jdbctemplate模板使用。
C3P0
1 导入相应包
<dependency> <groupId>c3p0</groupId> <artifactId>c3p0</artifactId> <version>0.9.1.2</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency>
2 编写相应配置文件
# c3p0 #c3p0.jdbcUrl=jdbc:mysql://127.0.0.1:3306/springboot2 #c3p0.user=root #c3p0.password=root #c3p0.driverClass=com.mysql.jdbc.Driver #c3p0.minPoolSize=2 #c3p0.maxPoolSize=10 #c3p0.maxIdleTime=1800000 #c3p0.acquireIncrement=3 #c3p0.maxStatements=1000 #c3p0.initialPoolSize=3 #c3p0.idleConnectionTestPeriod=60 #c3p0.acquireRetryAttempts=30 #c3p0.acquireRetryDelay=1000 #c3p0.breakAfterAcquireFailure=false #c3p0.testConnectionOnCheckout=false
3 编写数据源类
package com.archibaldwitwicke.springboot2.chapter05.dao;
import org.springframework.context.annotation.Configuration;
@Configuration
public class DataSourceConfiguration {
// c3p0 连接池
// @Bean(name = "dataSource")
// @Qualifier(value = "dataSource")
// @Primary
// @ConfigurationProperties(prefix = "c3p0")
// public DataSource dataSource(@Autowired Environment environment) {
// return DataSourceBuilder.create().type(com.mchange.v2.c3p0.ComboPooledDataSource.class).build();
// }
}
4 然后即可注入 jdbctemplate 操作数据库
Druid
1 导入相应包（需要日志包）
<dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.29</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.16</version> <scope>compile</scope> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency>
2 编写配置文件
# durid # 驱动配置信息 spring.datasource.url = jdbc:mysql://127.0.0.1:3306/springboot2 spring.datasource.username = root spring.datasource.password = root spring.datasource.driverClassName = com.mysql.jdbc.Driver #连接池的配置信息 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
还需要log4j配置：
log4j.rootCategory=INFO, stdout
log4j.rootLogger=info, stdout
### stdout ###
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.Target=System.out
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%d{ABSOLUTE} %5p - %m%n
### set package ###
log4j.logger.org.springframework=info
log4j.logger.org.apache.catalina=info
log4j.logger.org.apache.commons.digester.Digester=info
log4j.logger.org.apache.catalina.startup.TldConfig=info
log4j.logger.chb.test=debug
3 编写数据源类
package com.archibaldwitwicke.springboot2.chapter05.dao;
import com.alibaba.druid.pool.DruidDataSource;
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 javax.sql.DataSource;
import java.sql.SQLException;
@Configuration
public class DruidDataSourceConfiguration {
// private Logger logger = LoggerFactory.getLogger(DruidDataSourceConfiguration.class);
@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) {
// logger.error("druid configuration initialization filter", e);
e.printStackTrace();
}
datasource.setConnectionProperties(connectionProperties);
return datasource;
}
}
4 即可使用 jdbctemplate
以上所有数据源，根据需要导入数据驱动， 测试使用的为msyql
