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1.Druid是Java语言中最好的数据库连接池。Druid能够提供强大的监控和扩展功能。

2.配置maven

	<dependency>
		<groupId>com.alibaba</groupId>
		<artifactId>druid</artifactId>
		<version>${druid-version}</version>
	</dependency>

3.druid配置



spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      driverClassName: com.mysql.cj.jdbc.Driver
      url: jdbc:mysql://localhost:3306/data_one?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
      username: root
      password: root
      # 初始化大小，最小，最大
      initial-size: 10
      max-active: 100
      min-idle: 10
      # 配置获取连接等待超时的时间
      max-wait: 60000
      # 打开PSCache，并且指定每个连接上PSCache的大小
      pool-prepared-statements: true
      #   配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
      max-pool-prepared-statement-per-connection-size: 20
      # 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
      time-between-eviction-runs-millis: 60000
      # 配置一个连接在池中最小生存的时间，单位是毫秒
      min-evictable-idle-time-millis: 300000
      max-evictable-idle-time-millis: 60000
      validation-query: SELECT 1 FROM DUAL
      # validation-query-timeout: 5000
      test-on-borrow: false
      test-on-return: false
      test-while-idle: true
      # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
      connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
      #filters: #配置多个英文逗号分隔(统计，sql注入，log4j过滤)
      filters: stat,wall
      stat-view-servlet:
        enabled: true
        url-pattern: /druid/*

4.打开Druid的监控统计功能

Druid的监控统计功能是通过filter-chain扩展实现，如果你要打开监控统计功能，配置StatFilter

http://localhost:8007/druid/login.html

Springboot+druid,spring boot,java,spring

 /**
     * 配置 Druid 监控界面
     */
    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean srb =
                new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
        //设置控制台管理用户
        srb.addInitParameter("loginUsername","root");
        srb.addInitParameter("loginPassword","root");
        //是否可以重置数据
        srb.addInitParameter("resetEnable","false");
        return srb;
    }

Springboot+druid,spring boot,java,spring

5.配置过滤器

@Bean
    public FilterRegistrationBean statFilter(){
        //创建过滤器
        FilterRegistrationBean frb =
                new FilterRegistrationBean(new WebStatFilter());
        //设置过滤器过滤路径
        frb.addUrlPatterns("/*");
        //忽略过滤的形式
        frb.addInitParameter("exclusions",
                "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return frb;
    }
}

6.jdbc操作

   /**
     * JDBC操作配置
     */
    @Bean(name = "dataOneTemplate")
    public JdbcTemplate jdbcTemplate (@Autowired DruidDataSource dataSource){
        return new JdbcTemplate(dataSource) ;
    }

7.Druid数据库连接池配置文件文章来源地址https://www.toymoban.com/news/detail-703614.html

/**
 * Druid数据库连接池配置文件
 */
@Configuration
public class DruidConfig {
    private static final Logger logger = LoggerFactory.getLogger(DruidConfig.class);

    @Value("${spring.datasource.druid.url}")
    private String dbUrl;

    @Value("${spring.datasource.druid.username}")
    private String username;

    @Value("${spring.datasource.druid.password}")
    private String password;

    @Value("${spring.datasource.druid.driverClassName}")
    private String driverClassName;

    @Value("${spring.datasource.druid.initial-size}")
    private int initialSize;

    @Value("${spring.datasource.druid.max-active}")
    private int maxActive;

    @Value("${spring.datasource.druid.min-idle}")
    private int minIdle;

    @Value("${spring.datasource.druid.max-wait}")
    private int maxWait;

    @Value("${spring.datasource.druid.pool-prepared-statements}")
    private boolean poolPreparedStatements;

    @Value("${spring.datasource.druid.max-pool-prepared-statement-per-connection-size}")
    private int maxPoolPreparedStatementPerConnectionSize;

    @Value("${spring.datasource.druid.time-between-eviction-runs-millis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${spring.datasource.druid.min-evictable-idle-time-millis}")
    private int minEvictableIdleTimeMillis;

    @Value("${spring.datasource.druid.max-evictable-idle-time-millis}")
    private int maxEvictableIdleTimeMillis;

    @Value("${spring.datasource.druid.validation-query}")
    private String validationQuery;

    @Value("${spring.datasource.druid.test-while-idle}")
    private boolean testWhileIdle;

    @Value("${spring.datasource.druid.test-on-borrow}")
    private boolean testOnBorrow;

    @Value("${spring.datasource.druid.test-on-return}")
    private boolean testOnReturn;

    @Value("${spring.datasource.druid.filters}")
    private String filters;

    @Value("{spring.datasource.druid.connection-properties}")
    private String connectionProperties;

    /**
     * Druid 连接池配置
     */
    @Bean     //声明其为Bean实例
    public DruidDataSource dataSource() {
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setMaxEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        datasource.setPoolPreparedStatements(poolPreparedStatements);
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        try {
            datasource.setFilters(filters);
        } catch (Exception e) {
            logger.error("druid configuration initialization filter", e);
        }
        datasource.setConnectionProperties(connectionProperties);
        return datasource;
    }

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