Druid数据库连接池使用

package dbTest;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;

public class JDBCTest { 
    public static void main(String[] args) { 
        String driver = "com.mysql.jdbc.Driver"; 
        String dbName = "nnm5"; 
        String passwrod = "OSSDB123"; 
        String userName = "root"; 
        String url = "jdbc:mysql://localhost:13306/" + dbName; 
        String sql = "select ircnetnodeid, purpose_id,ircnetypeid from rcnetnode limit 1"; 
        Connection conn = null;
        PreparedStatement ps = null;
        ResultSet rs = null;
        
        try { 
            Class.forName(driver); 
            //JDBC获取连接
            //Connection conn = DriverManager.getConnection(url, userName,passwrod); 
            //Druid连接池获取连接
            conn = DruidManager.getInstance().getConnection();
            ps = conn.prepareStatement(sql); 
            rs = ps.executeQuery(); 
            while (rs.next()) { 
                System.out.println("ircnetnodeid : " + rs.getInt(1) + " purpose_id : "
                        + rs.getString(2) + " ircnetypeid : " + rs.getString(3)); 
            } 
  
            // 关闭记录集 
            if (rs != null) { 
                try { 
                    rs.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
  
            // 关闭声明 
            if (ps != null) { 
                try { 
                    ps.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
  
            // 关闭链接对象 
            if (conn != null) { 
                try { 
                    conn.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
  
        } catch (Exception e) { 
            e.printStackTrace(); 
        }finally{
        	 // 关闭记录集 
            if (rs != null) { 
                try { 
                    rs.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
  
            // 关闭声明 
            if (ps != null) { 
                try { 
                    ps.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
  
            // 关闭链接对象 
            if (conn != null) { 
                try { 
                    conn.close(); 
                } catch (SQLException e) { 
                    e.printStackTrace(); 
                } 
            } 
        }
        
    }   
}

  

package dbTest;

import java.sql.Connection;
import java.sql.SQLException;
import com.alibaba.druid.pool.DruidDataSource;

public class DruidManager {
	    private DruidManager() {}  
	    private static DruidManager single=null;
	    private DruidDataSource dataSource;

	    public synchronized  static DruidManager getInstance() {
	         if (single == null) {  
	             single = new DruidManager();
	             single.initPool();
	         }  
	        return single;
	    }
		private void initPool() {
			dataSource = new DruidDataSource();
			dataSource.setDriverClassName("com.mysql.jdbc.Driver");
			dataSource.setUsername("root");
			dataSource.setPassword("OSSDB123");
			dataSource.setUrl("jdbc:mysql://127.0.0.1:13306/nnm5");
			dataSource.setInitialSize(5);
			dataSource.setMinIdle(1);
			dataSource.setMaxActive(10);
			// 启用监控统计功能
			 try {
				dataSource.setFilters("stat");
			} catch (SQLException e) {
				
			}// for mysql
			 dataSource.setPoolPreparedStatements(false);			
		}
		
		public  Connection getConnection(){
			Connection connection = null;
			try {
				connection = dataSource.getConnection();
			} catch (SQLException e) {
				
			}
			return connection;
		}
}	

  需要下载druid.jar,项目地址

  https://github.com/AlibabaTech/druid/wiki
  
启用Web监控统计功能需要在Web应用的web.xml中加入这个Servlet声明
  <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>
通过 http://ip:port/druid/ 地址访问即可
  Spring的配置:
<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>

  

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