springBoot 配置druid多数据源 MySQL+SQLSERVER_druid sqlserver

1:pom 文件引入数据

             <dependency>
               <groupId>com.alibaba</groupId>
               <artifactId>druid-spring-boot-starter</artifactId>
               <version>1.1.0</version>
            </dependency>

<!-- 引入msql数据库链接包 -->

              <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
            </dependency>

<!-- 引入sqlserver数据库链接包 -->
<dependency>
    <groupId>com.microsoft.sqlserver</groupId>
    <artifactId>sqljdbc4</artifactId>
    <version>4.0</version>
</dependency>

2：yml文件配置

datasource:
  druid:
    slave:
      # 从数据源开关/默认关闭
      enabled: true
      type: com.alibaba.druid.pool.DruidDataSource
      driver-class-name: com.microsoft.sqlserver.jdbc.SQLServerDriver
      url: jdbc:sqlserver://192.168.0.1:1433;database=test;SelectMethod=cursor;
      username: test
      password: 12345
    master:
      type: com.alibaba.druid.pool.DruidDataSource
      driver-class-name: com.mysql.cj.jdbc.Driver
      url: jdbc:mysql://192.168.0.1:3306/test?rewriteBatchedStatements=true&useUnicode=true&characterEncoding=UTF-8&allowMultiQueries=true&useSSL=false&autoReconnect=true&failOverReadOnly=false&serverTimezone=GMT%2B8
      username: test
      password: 123456
    initial-size: 10
    min-idle: 10
    max-active: 200
    max-wait: 60000
    time-between-eviction-runs-millis: 300000
    # 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
    # 配置一个连接在池中最大生存的时间，单位是毫秒
    max-evictable-idle-time-millis: 900000
    validation-query: SELECT 'x'
    test-while-idle: true
    test-on-borrow: false
    test-on-return: false
    pool-prepared-statements: true
    max-pool-prepared-statement-per-connection-size: 20
    filters: stat

3:druid 配置属性

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

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

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

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

    @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;

    public DruidDataSource dataSource(DruidDataSource datasource) {
        /** 配置初始化大小、最小、最大 */
        datasource.setInitialSize(initialSize);
        datasource.setMaxActive(maxActive);
        datasource.setMinIdle(minIdle);

        /** 配置获取连接等待超时的时间 */
        datasource.setMaxWait(maxWait);

        /** 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 */
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);

        /** 配置一个连接在池中最小、最大生存的时间，单位是毫秒 */
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setMaxEvictableIdleTimeMillis(maxEvictableIdleTimeMillis);

        /**
         * 用来检测连接是否有效的sql，要求是一个查询语句，常用select 'x'。如果validationQuery为null，testOnBorrow、testOnReturn、testWhileIdle都不会起作用。
         */
        datasource.setValidationQuery(validationQuery);
        /** 建议配置为true，不影响性能，并且保证安全性。申请连接的时候检测，如果空闲时间大于timeBetweenEvictionRunsMillis，执行validationQuery检测连接是否有效。 */
        datasource.setTestWhileIdle(testWhileIdle);
        /** 申请连接时执行validationQuery检测连接是否有效，做了这个配置会降低性能。 */
        datasource.setTestOnBorrow(testOnBorrow);
        /** 归还连接时执行validationQuery检测连接是否有效，做了这个配置会降低性能。 */
        datasource.setTestOnReturn(testOnReturn);
        return datasource;
    }
}

4:druid 配置多数据源

@Configuration
public class DruidConfig {
    @Bean
    @ConfigurationProperties("spring.datasource.druid.master")
    public DataSource masterDataSource(DruidProperties druidProperties) {
        DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
        return druidProperties.dataSource(dataSource);
    }

    @Bean
    @ConfigurationProperties("spring.datasource.druid.slave")
    @ConditionalOnProperty(prefix = "spring.datasource.druid.slave", name = "enabled", havingValue = "true")
    public DataSource slaveDataSource(DruidProperties druidProperties) {
        DruidDataSource dataSource = DruidDataSourceBuilder.create().build();
        return druidProperties.dataSource(dataSource);
    }

  

    @Bean(name = "dynamicDataSource")
    @Primary
    public DynamicDataSource dataSource(DataSource masterDataSource) {
        Map<Object, Object> targetDataSources = new HashMap<>();
        targetDataSources.put(DataSourceType.MASTER.name(), masterDataSource);
        setDataSource(targetDataSources, DataSourceType.SLAVE.name(), "slaveDataSource");
        return new DynamicDataSource(masterDataSource, targetDataSources);
    }

    /**
     * 设置数据源
     *
     * @param targetDataSources 备选数据源集合
     * @param sourceName        数据源名称
     * @param beanName          bean名称
     */
    public void setDataSource(Map<Object, Object> targetDataSources, String sourceName, String beanName) {
        try {
            DataSource dataSource = (DataSource) ApplicationUtil.getBean(beanName);
            targetDataSources.put(sourceName, dataSource);
        } catch (Exception e) {
        }
    }

    /**
     * 去除监控页面底部的广告
     */
    @SuppressWarnings({"rawtypes", "unchecked"})
    @Bean
    @ConditionalOnProperty(name = "spring.datasource.druid.statViewServlet.enabled", havingValue = "true")
    public FilterRegistrationBean removeDruidFilterRegistrationBean(DruidStatProperties properties) {
        // 获取web监控页面的参数
        DruidStatProperties.StatViewServlet config = properties.getStatViewServlet();
        // 提取common.js的配置路径
        String pattern = config.getUrlPattern() != null ? config.getUrlPattern() : "/druid/*";
        String commonJsPattern = pattern.replaceAll("\\*", "js/common.js");
        final String filePath = "support/http/resources/js/common.js";
        // 创建filter进行过滤
        Filter filter = new Filter() {
            @Override
            public void init(javax.servlet.FilterConfig filterConfig) throws ServletException {
            }

            @Override
            public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain)
                    throws IOException, ServletException {
                chain.doFilter(request, response);
                // 重置缓冲区，响应头不会被重置
                response.resetBuffer();
                // 获取common.js
                String text = Utils.readFromResource(filePath);
                // 正则替换banner, 除去底部的广告信息
                text = text.replaceAll("<a.*?banner\"></a><br/>", "");
                text = text.replaceAll("powered.*?shrek.wang</a>", "");
                response.getWriter().write(text);
            }

            @Override
            public void destroy() {
            }
        };
        FilterRegistrationBean registrationBean = new FilterRegistrationBean();
        registrationBean.setFilter(filter);
        registrationBean.addUrlPatterns(commonJsPattern);
        return registrationBean;
    }
}

5:自定义多数据源切换注解

优先级：先方法，后类，如果方法覆盖了类上的数据源类型，以方法的为准，否则以类上的为准

@Target({ ElementType.METHOD, ElementType.TYPE })
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Inherited
public @interface DataSource
{
    /**
     * 切换数据源名称
     */
    public DataSourceType value() default DataSourceType.MASTER;
}

6:数据源枚举类

public enum DataSourceType {
    /**
     * 主库
     */
    MASTER,

    /**
     * 从库
     */
    SLAVE
   
}

7：使用 在mapper方法上或者server 方法上加注解指定数据源