springboot配置druid数据源和监控

数据源使用的是阿里的Driud。

1.配置之前 先看一下xml的配置。

-------------------spring-mybatis.xml文件--------------------------
<!-- 引入属性文件 -->
<context:property-placeholder location="classpath:config.properties" />
<!-- 配置数据源 -->
<bean name="dataSource" class="com.alibaba.druid.pool.DruidDataSource"
init-method="init" destroy-method="close">
<property name="url" value="${jdbc_url}" />
<property name="username" value="${jdbc_username}" />
<property name="password" value="${jdbc_password}" />
<!-- 初始化连接大小 -->
<property name="initialSize" value="0" />
<!-- 连接池最大使用连接数量 -->
<property name="maxActive" value="20" />
<!-- 连接池最大空闲 -->
<property name="maxIdle" value="20" />
<!-- 连接池最小空闲 -->
<property name="minIdle" value="0" />
<!-- 获取连接最大等待时间 -->
<property name="maxWait" value="60000" />
<!-- <property name="poolPreparedStatements" value="true" /> <property
name="maxPoolPreparedStatementPerConnectionSize" value="33" /> -->
<property name="validationQuery" value="${validationQuery}" />
<property name="testOnBorrow" value="false" />
<property name="testOnReturn" value="false" />
<property name="testWhileIdle" value="true" />
<!-- 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 -->
<property name="timeBetweenEvictionRunsMillis" value="60000" />
<!-- 配置一个连接在池中最小生存的时间，单位是毫秒 -->
<property name="minEvictableIdleTimeMillis" value="25200000" />
<!-- 打开removeAbandoned功能 -->
<property name="removeAbandoned" value="true" />
<!-- 1800秒，也就是30分钟 -->
<property name="removeAbandonedTimeout" value="1800" />
<!-- 关闭abanded连接时输出错误日志 -->
<property name="logAbandoned" value="true" />
<!-- 监控数据库 -->
<!-- <property name="filters" value="stat" /> -->
<!-- <property name="filters" value="mergeStat" />-->
</bean>
<!-- myBatis文件 -->
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
<property name="dataSource" ref="dataSource" />
<!-- 自动扫描entity目录, 省掉Configuration.xml里的手工配置 -->
<property name="mapperLocations" value="classpath:/mybatis/*Mapper.xml" />
<property name="configLocation" value="classpath:mybatis-interceptor.xml" />
</bean>
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="com.lcl.springBoot.dao" />
<property name="sqlSessionFactoryBeanName" value="sqlSessionFactory" />
</bean>
-------------------mybatis-interceptor.xml文件------------------------------
PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
<!-- 配置管理器 -->
<configuration>
<plugins>
<!-- com.github.pagehelper为PageHelper类所在包名 -->
<plugin interceptor="com.github.pagehelper.PageHelper">
<!-- 4.0.0以后版本可以不设置该参数 -->
<property name="dialect" value="mysql"/>
<!-- 该参数默认为false -->
<!-- 设置为true时，会将RowBounds第一个参数offset当成pageNum页码使用 -->
<!-- 和startPage中的pageNum效果一样-->
<property name="offsetAsPageNum" value="true"/>
<!-- 该参数默认为false -->
<!-- 设置为true时，使用RowBounds分页会进行count查询 -->
<property name="rowBoundsWithCount" value="true"/>
<!-- 设置为true时，如果pageSize=0或者RowBounds.limit = 0就会查询出全部的结果 -->
<!-- （相当于没有执行分页查询，但是返回结果仍然是Page类型）-->
<property name="pageSizeZero" value="true"/>
<!-- 3.3.0版本可用 - 分页参数合理化，默认false禁用 -->
<!-- 启用合理化时，如果pageNum<1会查询第一页，如果pageNum>pages会查询最后一页 -->
<!-- 禁用合理化时，如果pageNum<1或pageNum>pages会返回空数据 -->
<property name="reasonable" value="true"/>
<!-- 3.5.0版本可用 - 为了支持startPage(Object params)方法 -->
<!-- 增加了一个`params`参数来配置参数映射，用于从Map或ServletRequest中取值 -->
<!-- 可以配置pageNum,pageSize,count,pageSizeZero,reasonable,orderBy,不配置映射的用默认值 -->
<!-- 不理解该含义的前提下，不要随便复制该配置 -->
<property name="params" value="pageNum=start;pageSize=limit;"/>
<!-- 支持通过Mapper接口参数来传递分页参数 -->
<property name="supportMethodsArguments" value="true"/>
<!-- always总是返回PageInfo类型,check检查返回类型是否为PageInfo,none返回Page -->
<property name="returnPageInfo" value="check"/>
</plugin>
</plugins>
</configuration>

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这里面可以看到配置了DruidDataSource、SqlSessionFactoryBean、MapperScannerConfigurer三个bean，其中DruidDataSource配置了最基本的链接属性；SqlSessionFactoryBean配置数据源、mapper.xml路径和PageHelper插件填充；MapperScannerConfigurer设置的自动扫描的基本包basePackage跟sqlSessionFactory。 

对应的在springBoot中，我们如果不用xml配置，则可以用@Configuration、@bean来进行注解配置。 

@Configuration注解，等价 与XML中配置beans；用@Bean标注方法等价于XML中配置bean。

2.看springBoot配置，首先配置DruidDataSource，创建一个DruidDBConfig类，表注@Configuration。代码如下：

@Configuration
public class DruidDBConfig {
private Logger logger = LoggerFactory.getLogger(DruidDBConfig.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(value="dataSource")     //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);
}
datasource.setConnectionProperties(connectionProperties);
return datasource;
}
}

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至此，DruidDataSource数据源在系统运行的时候，会自动创建一个bean。

3.若想使用Druid的监控，则需要额外配置StatViewServlet 和 filterRegistrationBean，这里单独拎出来便于理解，此处配置也可以放置在DruidDBConfig类中。

@Configuration
public class DruidConfiguration {
/**
* 注册一个StatViewServlet
* @return
*/
@Bean
public ServletRegistrationBean DruidStatViewServle2(){
//org.springframework.boot.context.embedded.ServletRegistrationBean提供类的进行注册.
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
//添加初始化参数：initParams
//白名单：
servletRegistrationBean.addInitParameter("allow","127.0.0.1");
//IP黑名单 (存在共同时，deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.
servletRegistrationBean.addInitParameter("deny","192.168.1.73");
//登录查看信息的账号密码.
servletRegistrationBean.addInitParameter("loginUsername","admin2");
servletRegistrationBean.addInitParameter("loginPassword","123456");
//是否能够重置数据.
servletRegistrationBean.addInitParameter("resetEnable","false");
return servletRegistrationBean;
}
/**
* 注册一个：filterRegistrationBean
* @return
*/
@Bean
public FilterRegistrationBean druidStatFilter2(){
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
//添加过滤规则.
filterRegistrationBean.addUrlPatterns("/*");
//添加不需要忽略的格式信息.
filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid2/*");
return filterRegistrationBean;
}
}

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这里的配置类同等于xml配置文件：

<filter>
<filter-name>DruidWebStatFilter</filter-name>
<filter-class>com.alibaba.druid.support.http.WebStatFilter</filter-class>
<init-param>
<param-name>exclusions</param-name>
<param-value>*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*</param-value>
</init-param>
</filter>
<filter-mapping>
<filter-name>DruidWebStatFilter</filter-name>
<url-pattern>/*</url-pattern>
</filter-mapping>
<servlet>
<servlet-name>DruidStatView</servlet-name>
<servlet-class>com.alibaba.druid.support.http.StatViewServlet</servlet-class>
</servlet>
<servlet-mapping>
<servlet-name>DruidStatView</servlet-name>
<url-pattern>/druid/*</url-pattern>
</servlet-mapping>

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同样的还有另外一种方式：

1)创建DruidStatFilter。

@WebFilter(filterName="druidWebStatFilter",urlPatterns="/*",
initParams={
@WebInitParam(name="exclusions",value="*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")//忽略资源
}
)
public class DruidStatFilter extends WebStatFilter {
}

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2)创建DruidStatViewServlet。

@WebServlet(urlPatterns="/druid/*",
initParams={
@WebInitParam(name="allow",value="127.0.0.1,192.168.163.1"),// IP白名单(没有配置或者为空，则允许所有访问)
@WebInitParam(name="deny",value="192.168.1.73"),// IP黑名单 (存在共同时，deny优先于allow)
@WebInitParam(name="loginUsername",value="admin"),// 用户名
@WebInitParam(name="loginPassword",value="123456"),// 密码
@WebInitParam(name="resetEnable",value="false")// 禁用HTML页面上的“Reset All”功能
})
public class DruidStatViewServlet extends StatViewServlet {
private static final long serialVersionUID = -2688872071445249539L;
}

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4.配置sqlSessionFactory，此bean是SqlSessionFactoryBean类型。

@Configuration
public class MyBatisConfig implements TransactionManagementConfigurer{
private Logger logger = LoggerFactory.getLogger(MyBatisConfig.class);
//@Autowired
//private DruidDataSource dataSource;
@Value("${spring.datasource.type}")
private Class<? extends DataSource> dataSourceType;
@Bean(name="dataSource", destroyMethod = "close", initMethod="init")
@ConfigurationProperties(prefix = "spring.datasource")
public DataSource dataSource() {
return DataSourceBuilder.create().type(dataSourceType).build();
}
@Bean(name = "sqlSessionFactory")//3
public SqlSessionFactory sqlSessionFactoryBean() {
SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
bean.setDataSource(dataSource());
//bean.setTypeAliasesPackage("com.hjf.boot.demo.boot_mybatis.domain");
//分页插件 //4
PageHelper pageHelper = new PageHelper();
Properties properties = new Properties();
properties.setProperty("reasonable", "true");
properties.setProperty("supportMethodsArguments", "true");
properties.setProperty("returnPageInfo", "check");
properties.setProperty("params", "count=countSql");
pageHelper.setProperties(properties);
//添加插件
bean.setPlugins(new Interceptor[]{pageHelper});
//添加XML目录
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
try {
bean.setMapperLocations(resolver.getResources("classpath:/mybatis/*Mapper.xml"));
return bean.getObject();
} catch (Exception e) {
e.printStackTrace();
throw new RuntimeException(e);
}
}
@Bean
public SqlSessionTemplate sqlSessionTemplate(SqlSessionFactory sqlSessionFactory) {
return new SqlSessionTemplate(sqlSessionFactory);
}
@Bean
public PlatformTransactionManager annotationDrivenTransactionManager() {
return new DataSourceTransactionManager(dataSource());
}
}

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5.配置MapperScannerConfigurer，设置自动扫描。

@Configuration
@AutoConfigureAfter(MyBatisConfig.class)//见文思意，在MyBatisConfig配置之后加载
public class MyBatisMapperScannerConfig {
@Bean
public MapperScannerConfigurer mapperScannerConfigurer() {
MapperScannerConfigurer mapperScannerConfigurer = new MapperScannerConfigurer();
//对应<property name="sqlSessionFactoryBeanName" value="sqlSessionFactory" />
mapperScannerConfigurer.setSqlSessionFactoryBeanName("sqlSessionFactory");
//对应<property name="basePackage" value="com.lcl.springBoot.dao" />
mapperScannerConfigurer.setBasePackage("com.lcl.springBoot.dao");
return mapperScannerConfigurer;
}
}

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至此配置完毕，对于资源文件在resources目录下：

resources
--application.properties//存放资源文件
--mybatis//文件夹存放mapper文件
--DemoMapper.xml //本人用的测试mapper

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application.properties文件内容(千篇一律，满大街都是= =！)：

##DATASOURCE（DataSourceAutoConfiguration＆DataSourceProperties）
# 驱动配置信息
spring.datasource.url = jdbc:mysql://localhost:3306/springboot?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
spring.datasource.username= root
spring.datasource.password=
spring.datasource.driverClassName=com.mysql.jdbc.Driver
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
##连接池属性配置
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

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结尾：在MyBatisConfig中关于DruidDataSource，一开始使用的形式是：

@Autowired
private DruidDataSource dataSource;

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此时发现不能自动实例化bean，而后改为一下形式解决，没有看源码不知何故，以后有时间在看源码进行分析：

@Value("${spring.datasource.type}")
private Class<? extends DataSource> dataSourceType;
@Bean(name="dataSource", destroyMethod = "close", initMethod="init")
@ConfigurationProperties(prefix = "spring.datasource")
public DataSource dataSource() {
return DataSourceBuilder.create().type(dataSourceType).build();
}