本項目教程環境建立在 spring boot2 整合(一)Mybatis (特别完整!) 的基礎上。
1. Druid配置
1.1 修改pom.xml
<!-- alibaba的druid資料庫連接配接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.11</version>
</dependency>
1.2. 添加yml配置屬性
# 使用druid資料源
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
platform: mysql
# 下面為連接配接池的補充設定,應用到上面所有資料源中
# 初始化大小,最小,最大
initialSize: 1
minIdle: 3
maxActive: 20
# 配置擷取連接配接等待逾時的時間
maxWait: 60000
# 配置間隔多久才進行一次檢測,檢測需要關閉的空閑連接配接,機關是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一個連接配接在池中最小生存的時間,機關是毫秒
minEvictableIdleTimeMillis: 30000
validationQuery: select 'x'
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打開PSCache,并且指定每個連接配接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
# 配置監控統計攔截的filters,去掉後監控界面sql無法統計,'wall'用于防火牆
filters: stat,wall,slf4j
# 通過connectProperties屬性來打開mergeSql功能;慢SQL記錄
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多個DruidDataSource的監控資料
#useGlobalDataSourceStat: true
注意這些屬性都是spring.datasource下的子屬性。
1.3. 添加druid的配置類檔案
DruidConfiguration .java
package com.fantj.config;
/**
* druid 連接配接池配置類
* Created by Fant.J.
*/
@Configuration
public class DruidConfiguration {
@Value("${spring.datasource.url}")
private String dbUrl;
@Value("${spring.datasource.username}")
private String username;
@Value("${spring.datasource.password}")
private String password;
@Value("${spring.datasource.driver-class-name}")
private String driverClassName;
@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 //聲明其為Bean執行個體
@Primary //在同樣的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) {
System.err.println("druid configuration initialization filter: "+ e);
}
datasource.setConnectionProperties(connectionProperties);
return datasource;
}
@Bean
public ServletRegistrationBean statViewServlet(){
//建立servlet注冊實體
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
//設定ip白名單
servletRegistrationBean.addInitParameter("allow","127.0.0.1");
//設定ip黑名單
servletRegistrationBean.addInitParameter("deny","192.168.0.2");
//設定控制台管理使用者
servletRegistrationBean.addInitParameter("loginUsername","druid");
servletRegistrationBean.addInitParameter("loginPassword","123456");
//是否可以重置資料
servletRegistrationBean.addInitParameter("resetEnable","false");
return servletRegistrationBean;
}
@Bean
public FilterRegistrationBean statFilter(){
//建立過濾器
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
//設定過濾器過濾路徑
filterRegistrationBean.addUrlPatterns("/*");
//忽略過濾的形式
filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}
}
注意該代碼段中有
//設定控制台管理使用者
servletRegistrationBean.addInitParameter("loginUsername","druid");
servletRegistrationBean.addInitParameter("loginPassword","123456");
這是druid監控端的賬号和密碼,其登入入口的官方url為:
127.0.0.1:8080/druid/login.html![](https://img.laitimes.com/img/_0nNw4CM6IyYiwiM6ICdiwiIn5GcuMzNhFTYmVDZmNjY1ETN2cTOyMDZhZmN2MmZ4M2MjRjNfdWbp9CXt92Yu4GZjlGbh5SZslmZxl3Lc9CX6MHc0RHaiojIsJye.png)
2. FastJson配置
2.1 添加pom依賴
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.39</version>
</dependency>
2.2 增加fastJson配置檔案
方法一:繼承extends WebMvcConfigurerAdapter
FastJsonConfiguration .java
package com.fantj.config;
/**
* fastJson 配置類
* Created by Fant.J.
*/
@Configuration
public class FastJsonConfiguration extends WebMvcConfigurerAdapter{
/**
* 修改自定義消息轉換器
*/
@Override
public void configureMessageConverters(List<HttpMessageConverter<?>> converters){
super.configureMessageConverters(converters);
//1.建立一個convert消息轉換對象
FastJsonHttpMessageConverter fastConvert = new FastJsonHttpMessageConverter();
//2.建立一個fastJson的配置對象,然後配置格式化資訊
FastJsonConfig config = new FastJsonConfig();
config.setSerializerFeatures(SerializerFeature.PrettyFormat);
//3.在convert中添加配置資訊
fastConvert.setFastJsonConfig(config);
//4.将convert添加到converts裡面
converters.add(fastConvert);
}
}
方法二:覆寫方法configureMessageConverters
public HttpMessageConverters fastJsonHttpMessageConverters(){
//1.建立一個convert消息轉換對象
FastJsonHttpMessageConverter fastConverter = new FastJsonHttpMessageConverter();
//2.建立一個fastJson的配置對象,然後配置格式化資訊
FastJsonConfig fastJsonConfig = new FastJsonConfig();
fastJsonConfig.setSerializerFeatures(SerializerFeature.PrettyFormat);
//3.在convert中添加配置資訊
fastConverter.setFastJsonConfig(fastJsonConfig);
HttpMessageConverter<?> converters = fastConverter;
return new HttpMessageConverters(converters);
}
2.3 修改pojo
@Data
public class User {
private Integer id;
private String username;
@JSONField(format="yyyy-MM-dd HH:mm:ss")
private Date birthday;
private String sex;
private String address;
}
注意
@JSONField(format="yyyy-MM-dd HH:mm:ss")
,如果它能顯示出效果,證明druid配置成功。