1、配置文件

spring:
  datasource:
    driver-class-name: oracle.jdbc.driver.OracleDriver
    url: jdbc:oracle:thin:@192.168.**.**:1521/ORCL
    username: ****
    publicKey: MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBAMLqCO+tt55XuV/VkyRH8fr7AlSyONv3Ld3mRuf7yFUCjwk2YLp9Q2C/6pyUXtwUYmU/bMQC2vuTsMdmpsF8uv0CAwEAAQ==
    password: gTh5ZBFPg717xz7oO+FK7n5Q1j68GR7OXxwPDdyrtD4SW8sMUWj0jIOeM5/MUQi9W8oHY1A1q6SoWsuzxJm08A==
    #Druid 连接池通用配置
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      # 下面为连接池的补充设置，应用到上面所有数据源中
      # 初始化大小，最小，最大
      initial-size: 5
      min-idle: 5
      max-active: 20
      # 配置获取连接等待超时的时间
      max-wait: 60000
      # 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
      # sql 校验
      validation-query: SELECT 1 FROM DUAL
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      # 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
      filters: stat,config # wall 若开启 wall，会把 if 中的 and 判断为注入进行拦截
      use-global-data-source-stat: true
      # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
      connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
      web-stat-filter:
        enabled: true
        exclusions: '*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*'
      stat-view-servlet:
        enabled: true
        reset-enable: false

 2、Java工具类

import com.alibaba.druid.filter.config.ConfigTools;
import com.alibaba.druid.pool.DruidDataSource;
import lombok.Data;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import javax.sql.DataSource;
import java.sql.SQLException;
import java.util.Properties;

/**
 * Druid
 * @create: 2019-07-01 11:10
 **/
@Configuration
@ConfigurationProperties(prefix = "spring.datasource")
@Data
public class DruidDatsSourceConfig {

    private Logger logger = LoggerFactory.getLogger(DruidDatsSourceConfig.class);

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

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

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

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

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

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

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

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

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

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

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

    @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.pool-prepared-statements}")
    private Boolean poolPreparedStatements;

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

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

    @Value("${spring.datasource.druid.use-global-data-source-stat}")
    private Boolean useGlobalDataSourceStat;

    @Value("${spring.datasource.druid.connect-properties}")
    private Properties connectProperties;

    /**
     * 数据库参数注入
     * @return
     * @throws Exception
     */
    @Bean
    @Primary
    public DataSource druidDataSource() throws Exception {
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(url);
        datasource.setUsername(username);
        // 解密后，再 set 进对象
        datasource.setPassword(ConfigTools.decrypt(publicKey, password));
        logger.info("密码：" + ConfigTools.decrypt(publicKey, password));
        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.setUseGlobalDataSourceStat(useGlobalDataSourceStat);
        datasource.setConnectProperties(connectProperties);

        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("========druid configuration initialization filter========", e);
        }
        return datasource;
    }

    /**
     * 生成公私钥以及加密密码
     * @param args
     * @throws Exception
     */
    public static void main(String[] args) throws Exception {
        String password = "****";
        String[] arr = ConfigTools.genKeyPair(512);
        System.out.println("password:" + password);
        System.out.println("privateKey:" + arr[0]);
        System.out.println("publicKey:" + arr[1]);
        System.out.println("password:" + ConfigTools.encrypt(arr[0], password));
    }
}