接下来就是完成增删改查的功能了，首先在config包下配置Druid数据连接池,在配置之前先把相关配置在application.preperties中完善
application.preperties # 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 spring.datasource.initialSize=5 spring.datasource.minIdle=5 spring.datasource.maxActive=30 # 配置获取连接等待超时的时间 spring.datasource.maxWait=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 spring.datasource.timeBetweenEvictionRunsMillis=60000 # 配置一个连接在池中最小生存的时间，单位是毫秒 spring.datasource.minEvictableIdleTimeMillis=300000 spring.datasource.validationQuery=SELECT 1 FROM DUAL spring.datasource.testWhileIdle=true spring.datasource.testOnBorrow=false spring.datasource.testOnReturn=false # 打开PSCache，并且指定每个连接上PSCache的大小 spring.datasource.poolPreparedStatements=true spring.datasource.maxPoolPreparedStatementPerConnectionSize=20 # 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 spring.datasource.filters=stat,wall,log4j # 通过connectProperties属性来打开mergeSql功能；慢SQL记录 spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合并多个DruidDataSource的监控数据 spring.datasource.useGlobalDataSourceStat=true # Druid 监控 Servlet 配置参数 spring.datasource.druidRegistrationUrl: /druid/* spring.datasource.resetEnable: true spring.datasource.loginUsername: admin spring.datasource.loginPassword: 1234 # Druid 监控过滤相关配置参数 spring.datasource.filtersUrlPatterns: /* spring.datasource.exclusions: '*.js,*.gif,*.jpg,*.jpeg,*.png,*.css,*.ico,*.jsp,/druid/*' spring.datasource.sessionStatMaxCount: 2000 spring.datasource.sessionStatEnable: true spring.datasource.principalSessionName: session_user_key spring.datasource.profileEnable: true #druid datasouce database settings end上面配置完之后开始完成Druid数据连接池配置
在config包->新建DruidDbConfig类
DruidDBConfig类 @Configuration public class DruidDBConfig { // private Logger logger = LoggerFactory.getLogger(DruidDBConfig.class); @Value("${spring.datasource.driver-class-name}") private String driverClassName; @Value("${spring.datasource.url}") private String dbUrl; @Value("${spring.datasource.username}") private String username; @Value("${spring.datasource.password}") private String password; @Value("${spring.datasource.initialSize}") private int initialSize; @Value("${spring.datasource.minIdle}") private int minIdle; @Value("${spring.datasource.maxActive}") private int maxActive; @Value("${spring.datasource.maxWait}") private int maxWait; @Value("${spring.datasource.timeBetweenEvictionRunsMillis}") private int timeBetweenEvictionRunsMillis; @Value("${spring.datasource.minEvictableIdleTimeMillis}") private int minEvictableIdleTimeMillis; @Value("${spring.datasource.validationQuery}") private String validationQuery; @Value("${spring.datasource.testWhileIdle}") private boolean testWhileIdle; @Value("${spring.datasource.testOnBorrow}") private boolean testOnBorrow; @Value("${spring.datasource.testOnReturn}") private boolean testOnReturn; @Value("${spring.datasource.poolPreparedStatements}") private boolean poolPreparedStatements; @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}") private int maxPoolPreparedStatementPerConnectionSize; @Value("${spring.datasource.filters}") private String filters; @Value("{spring.datasource.connectionProperties}") private String connectionProperties; @Bean //声明其为Bean实例 @Primary //在同样的DataSource中，首先使用被标注的DataSource public DataSource dataSource(){ DruidDataSource datasource = new DruidDataSource(); datasource.setUrl(this.dbUrl); datasource.setUsername(username); datasource.setPassword(password); datasource.setDriverClassName(driverClassName); //configuration datasource.setInitialSize(initialSize); datasource.setMinIdle(minIdle); datasource.setMaxActive(maxActive); datasource.setMaxWait(maxWait); datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis); datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis); datasource.setValidationQuery(validationQuery); datasource.setTestWhileIdle(testWhileIdle); datasource.setTestOnBorrow(testOnBorrow); datasource.setTestOnReturn(testOnReturn); datasource.setPoolPreparedStatements(poolPreparedStatements); datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize); try { datasource.setFilters(filters); } catch (SQLException e) { // logger.error("druid configuration initialization filter", e); } datasource.setConnectionProperties(connectionProperties); return datasource; } }上述配置中的日志已经注释了，如果需要配置可以在resources中加入logback-spring.xml：
resources->logback-spring.xml
logback-spring.xml <?xml version="1.0" encoding="UTF-8"?> <configuration scan="true" scanPeriod="60 seconds" debug="false"> <contextName>logback</contextName> <!--自己定义一个log.path用于说明日志的输出目录--> <property value="/log/jiangfeixiang/"/> <!--输出到控制台--> <appender> <!-- <filter> <level>ERROR</level> </filter>--> <encoder> <pattern>%d{HH:mm:ss.SSS} %contextName [%thread] %-5level %logger{36} - %msg%n</pattern> </encoder> </appender> <!--输出到文件--> <appender> <rollingPolicy> <fileNamePattern>${log.path}/logback.%d{yyyy-MM-dd}.log</fileNamePattern> </rollingPolicy> <encoder> <pattern>%d{HH:mm:ss.SSS} %contextName [%thread] %-5level %logger{36} - %msg%n</pattern> </encoder> </appender> <root level="debug"> <appender-ref ref="console"/> <appender-ref ref="file"/> </root> <!-- logback为java中的包 --> <logger/> </configuration> UserServiec接口 public interface UserService { /** * 查询所有用户 */ public List<User> getAllUser(); /** * 保存用户 * @param user */ void saveUser(User user); /** * 根据id查询用户 */ User getById(Integer id); /** * 校验用户名 * @param userName * @return */ Boolean checkUserName(String userName); /** * 修改用户 * @param user */ void updateUser(User user); /** * 根据id删除用户 * @param id */ void deleteUser(Integer id); /** * 全选删除 * @param useridList */ void deleteBatchUser(List<Integer> useridList); }