SpringBoot之数据库连接池(druid)
2016-12-14 18:09
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1.介绍
SpringBoot默认使用 org.apache.tomcat.jdbc.pool.DataSourceTomcat 在 7.0 以前的版本都是使用 commons-dbcp 做为连接池的实现,但是 dbcp 饱受诟病,原因有:
dbcp 是单线程的,为了保证线程安全会锁整个连接池
dbcp 性能不佳
dbcp 太复杂,超过 60 个类
dbcp 使用静态接口,在 JDK 1.6 编译有问题
dbcp 发展滞后
因此很多人会选择一些第三方的连接池组件,例如 c3p0 , bonecp, druid (@wenshao )
等。
为此,Tomcat 从 7.0 开始引入一个新的模块:Tomcat jdbc pool
tomcat jdbc pool 近乎兼容 dbcp ,性能更高
异步方式获取连接
tomcat jdbc pool 是 tomcat 的一个模块,基于 tomcat JULI,使用 Tomcat 的日志框架
使用 javax.sql.PooledConnection 接口获取连接
支持高并发应用环境
超简单,核心文件只有8个,比 c3p0 还
更好的空闲连接处理机制
支持 JMX
支持 XA Connection
tomcat jdbc pool 的优点远不止这些,详情请看这里。
tomcat jdbc pool 可在 Tomcat 中直接使用,也可以在独立的应用中使用。
Tomcat 中直接使用的方法:
数据源配置:
01 | < Resource name = "jdbc/TestDB" |
02 | auth = "Container" |
03 | type = "javax.sql.DataSource" |
04 | factory = "org.apache.tomcat.jdbc.pool.DataSourceFactory" |
05 | testWhileIdle = "true" |
06 | testOnBorrow = "true" |
07 | testOnReturn = "false" |
08 | validationQuery = "SELECT 1" |
09 | validationInterval = "30000" |
10 | timeBetweenEvictionRunsMillis = "30000" |
11 | maxActive = "100" |
12 | minIdle = "10" |
13 | maxWait = "10000" |
14 | initialSize = "10" |
15 | removeAbandonedTimeout = "60" |
16 | removeAbandoned = "true" |
17 | logAbandoned = "true" |
18 | minEvictableIdleTimeMillis = "30000" |
19 | jmxEnabled = "true" |
20 | jdbcInterceptors = |
21 | "org.apache.tomcat.jdbc.pool.interceptor.ConnectionState;org.apache.tomcat.jdbc.pool.interceptor.StatementFinalizer" |
22 | username = "root" |
23 | password = "password" |
24 | driverClassName = "com.mysql.jdbc.Driver" |
25 | url = "jdbc:mysql://localhost:3306/mysql" /> |
01 | Connection con = null ; |
02 | try { |
03 | Future<Connection> future = datasource.getConnectionAsync(); |
04 | while (!future.isDone()) { |
05 | System.out.println( "Connection is not yet available. Do some background work" ); |
06 | try { |
07 | Thread.sleep( 100 ); //simulate work |
08 | } catch (InterruptedException x){ |
09 | Thread.currentThread().interrupted(); |
10 | } |
11 | } |
12 | con //should return instantly |
13 | Statement st = con.createStatement(); |
14 | ResultSet rs = st.executeQuery( "select * from user" ); |
01 | import java.sql.Connection; |
02 | import java.sql.ResultSet; |
03 | import java.sql.Statement; |
04 |
05 | import org.apache.tomcat.jdbc.pool.DataSource; |
06 | import org.apache.tomcat.jdbc.pool.PoolProperties; |
07 |
08 | public class SimplePOJOExample { |
09 |
10 | public static void main(String[] args) throws Exception { |
11 | PoolProperties p = new PoolProperties(); |
12 | p.setUrl( "jdbc:mysql://localhost:3306/mysql" ); |
13 | p.setDriverClassName( "com.mysql.jdbc.Driver" ); |
14 | p.setUsername( "root" ); |
15 | p.setPassword( "password" ); |
16 | p.setJmxEnabled( true ); |
17 | p.setTestWhileIdle( false ); |
18 | p.setTestOnBorrow( true ); |
19 | p.setValidationQuery( "SELECT 1" ); |
20 | p.setTestOnReturn( false ); |
21 | p.setValidationInterval( 30000 ); |
22 | p.setTimeBetweenEvictionRunsMillis( 30000 ); |
23 | p.setMaxActive( 100 ); |
24 | p.setInitialSize( 10 ); |
25 | p.setMaxWait( 10000 ); |
26 | p.setRemoveAbandonedTimeout( 60 ); |
27 | p.setMinEvictableIdleTimeMillis( 30000 ); |
28 | p.setMinIdle( 10 ); |
29 | p.setLogAbandoned( true ); |
30 | p.setRemoveAbandoned( true ); |
31 | p.setJdbcInterceptors( "org.apache.tomcat.jdbc.pool.interceptor.ConnectionState;" + |
32 | "org.apache.tomcat.jdbc.pool.interceptor.StatementFinalizer" ); |
33 | DataSource datasource = new DataSource(); |
34 | datasource.setPoolProperties(p); |
35 |
36 | Connection con = null ; |
37 | try { |
38 | con = datasource.getConnection(); |
39 | Statement st = con.createStatement(); |
40 | ResultSet rs = st.executeQuery( "select * from user" ); |
41 | int cnt = 1 ; |
42 | while (rs.next()) { |
43 | System.out.println((cnt++)+ ". Host:" +rs.getString( "Host" )+ |
44 | " User:" +rs.getString( "User" )+ " Password:" +rs.getString( "Password" )); |
45 | } |
46 | rs.close(); |
47 | st.close(); |
48 | } finally { |
49 | if (con!= null ) try {con.close();} catch (Exception |
50 | } |
51 | } |
52 |
53 | } |
https://tomcat.apache.org/tomcat-7.0-doc/jdbc-pool.html
Druid是一个JDBC组件库,包括数据库连接池、SQL Parser等组件。DruidDataSource是最好的数据库连接池。SpringBoot支持任何一种数据库链接池的配置,在这里用druid作为例子进行讲解
2.快速开始
这块先以spring的JdbcTemplate为列子进行讲解
pom.xml
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.4.1.RELEASE</version> </parent> <modelVersion>4.0.0</modelVersion> <artifactId>springboot-6</artifactId> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.39</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.26</version> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> <version>1.4.1.RELEASE</version> <configuration> <fork>true</fork> </configuration> </plugin> </plugins> </build> </project>1
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[/code]
配置统一的DataSource,这种方式不太合适生产环境,SpringBoot可以统一的配置application.yaml,但是目前仅仅支持dbcp、dbcp2、hikari
下面这种方式无法不支持的DruidDataSource的其他参数
application.yaml
spring: datasource: driver-class-name: com.mysql.jdbc.Driver username: root password: qq123456 url: jdbc:mysql://localhost:3306/test1 type: com.alibaba.druid.pool.DruidDataSource1
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[/code]
通过代码的方式进行配置
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@SpringBootApplication
public class AppApplication {
public static void main(String[] args)throws Exception {
SpringApplication.run(AppApplication.class, args);
}
/**
* 注册DruidServlet
*
* @return
*/
@Bean
public ServletRegistrationBean druidServletRegistrationBean(){
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean();
servletRegistrationBean.setServlet(new StatViewServlet());
servletRegistrationBean.addUrlMappings("/druid/*");
return servletRegistrationBean;
}
/**
* 注册DruidFilter拦截
*
* @return
*/
@Bean
public FilterRegistrationBean duridFilterRegistrationBean(){
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
filterRegistrationBean.setFilter(new WebStatFilter());
Map<String, String> initParams = new HashMap<String, String>();
//设置忽略请求
initParams.put("exclusions", "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*");
filterRegistrationBean.setInitParameters(initParams);
filterRegistrationBean.addUrlPatterns("/*");
return filterRegistrationBean;
}
/**
* 配置DataSource
* @return
* @throws SQLException
*/
@Bean
public DataSource druidDataSource()throws SQLException {
DruidDataSource druidDataSource = new DruidDataSource();
druidDataSource.setUsername("root");
druidDataSource.setPassword("qq123456");
druidDataSource.setUrl("jdbc:mysql://localhost:3306/test1");
druidDataSource.setMaxActive(100);
druidDataSource.setFilters("stat,wall");
druidDataSource.setInitialSize(10);
return druidDataSource;
}
}
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[/code]
这块采用的是
ServletRegistrationBean和
FilterRegistrationBean的方式进行注册Servlet和Filter,这种是SpingBoot里面提供支持原生的方式
除了这种方式还可以采用其他方式进行配置,采用Servlet3.0的注解Servlet进行配置
这块配置基本就完事了,可以访问本地链接http://localhost:8080/druid/datasource.html查看监控信息
官方资料
其他的详细配置可以查看官方文档进行配置,这里不过多讲述https://github.com/alibaba/druid/wiki/%E9%A6%96%E9%A1%B5
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