跟我学springboot之(三)配置连接池和JPA的应用

内置的连接池

目前Spring Boot中默认支持的连接池有dbcp,dbcp2, tomcat, hikari三种连接池。
数据库连接可以使用DataSource池进行自动配置。

由于Tomcat数据源连接池的性能和并发，在tomcat可用时，我们总是优先使用它。
如果HikariCP可用，我们将使用它。
如果Commons DBCP可用，我们将使用它，但在生产环境不推荐使用它。
最后，如果Commons DBCP2可用，我们将使用它。

以上的几种连接池，可以通过在配置application文件中配置。

spring.datasource.url=jdbc:mysql://localhost/test
spring.datasource.username=dbuser
spring.datasource.password=dbpass
spring.datasource.driver-class-name=com.mysql.jdbc.Driver

Spring Boot能够从大多数数据库的url上推断出driver-class-name，你就不需要再指定它了。对于一个将要创建的DataSource连接池，我们需要能够验证Driver是否可用，所以我们会在做任何事情之前检查它。比如，如果你设置spring.datasource.driverClassName=com.mysql.jdbc.Driver，然后这个类就会被加载。

配置Druid连接池

在SpringBoot 的1.5.2版本中不在支持自动配druid，，即无法通过配置项直接支持相应的连接池；这里列出的这些配置项可以通过定制化DataSource来实现。

druid介绍

Druid是一个JDBC组件，它包括三部分：

DruidDriver 代理Driver，能够提供基于Filter－Chain模式的插件体系。
DruidDataSource 高效可管理的数据库连接池。
SQLParser

Druid可以做什么

可以监控数据库访问性能，Druid内置提供了一个功能强大的StatFilter插件，能够详细统计SQL的执行性能，这对于线上分析数据库访问性能有帮助。
替换DBCP和C3P0。Druid提供了一个高效、功能强大、可扩展性好的数据库连接池。
数据库密码加密。直接把数据库密码写在配置文件中，这是不好的行为，容易导致安全问题。DruidDruiver和DruidDataSource都支持PasswordCallback。
SQL执行日志，Druid提供了不同的LogFilter，能够支持Common-Logging、Log4j和JdkLog，你可以按需要选择相应的LogFilter，监控你应用的数据库访问情况。
扩展JDBC，如果你要对JDBC层有编程的需求，可以通过Druid提供的Filter-Chain机制，很方便编写JDBC层的扩展插件。

Spring Boot与Druid的集成

<dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
       <scope>runtime</scope>
</dependency>
<dependency>
      <groupId>com.alibaba</groupId>
      <artifactId>druid</artifactId>
      <version>1.0.25</version>
</dependency>

application.properties配置信息

# 驱动配置信息
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url = jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf-8  
spring.datasource.username = root
spring.datasource.password = adminter
spring.datasource.driverClassName = com.mysql.jdbc.Driver

#连接池的配置信息
## 初始化大小，最小，最大
spring.druid.initialSize=5
spring.druid.minIdle=5
spring.druid.maxActive=20
## 配置获取连接等待超时的时间
spring.druid.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.druid.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
spring.druid.minEvictableIdleTimeMillis=300000
spring.druid.validationQuery=SELECT 1 FROM DUAL
spring.druid.testWhileIdle=true
spring.druid.testOnBorrow=false
spring.druid.testOnReturn=false
spring.druid.poolPreparedStatements=true
spring.druid.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.druid.filters=stat,wall,log4j
# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
spring.druid.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

DruidSource配置信息的定制

package com.lf.datasource;

import com.alibaba.druid.pool.DruidDataSource;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;

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


@ConfigurationProperties(prefix = "spring.druid")
public class DruidSource {

    private String dbUrl;

    private String username;

    private String password;

    private String driverClassName;

    private int initialSize;

    private int minIdle;

    private int maxActive;

    private int maxWait;

    private int timeBetweenEvictionRunsMillis;

    private int minEvictableIdleTimeMillis;
    private String validationQuery;

    private boolean testWhileIdle;
    private boolean testOnBorrow;

    private boolean testOnReturn;

    private boolean poolPreparedStatements;

    private int maxPoolPreparedStatementPerConnectionSize;

    private String filters;

    private String connectionProperties;

    public String getDbUrl() {
        return dbUrl;
    }

    public void setDbUrl(String dbUrl) {
        this.dbUrl = dbUrl;
    }

    public String getUsername() {
        return username;
    }

    public void setUsername(String username) {
        this.username = username;
    }

    public String getPassword() {
        return password;
    }

    public void setPassword(String password) {
        this.password = password;
    }

    public String getDriverClassName() {
        return driverClassName;
    }

    public void setDriverClassName(String driverClassName) {
        this.driverClassName = driverClassName;
    }

    public int getInitialSize() {
        return initialSize;
    }

    public void setInitialSize(int initialSize) {
        this.initialSize = initialSize;
    }

    public int getMinIdle() {
        return minIdle;
    }

    public void setMinIdle(int minIdle) {
        this.minIdle = minIdle;
    }

    public int getMaxActive() {
        return maxActive;
    }

    public void setMaxActive(int maxActive) {
        this.maxActive = maxActive;
    }

    public int getMaxWait() {
        return maxWait;
    }

    public void setMaxWait(int maxWait) {
        this.maxWait = maxWait;
    }

    public int getTimeBetweenEvictionRunsMillis() {
        return timeBetweenEvictionRunsMillis;
    }

    public void setTimeBetweenEvictionRunsMillis(int timeBetweenEvictionRunsMillis) {
        this.timeBetweenEvictionRunsMillis = timeBetweenEvictionRunsMillis;
    }

    public int getMinEvictableIdleTimeMillis() {
        return minEvictableIdleTimeMillis;
    }

    public void setMinEvictableIdleTimeMillis(int minEvictableIdleTimeMillis) {
        this.minEvictableIdleTimeMillis = minEvictableIdleTimeMillis;
    }

    public String getValidationQuery() {
        return validationQuery;
    }

    public void setValidationQuery(String validationQuery) {
        this.validationQuery = validationQuery;
    }

    public boolean isTestWhileIdle() {
        return testWhileIdle;
    }

    public void setTestWhileIdle(boolean testWhileIdle) {
        this.testWhileIdle = testWhileIdle;
    }

    public boolean isTestOnBorrow() {
        return testOnBorrow;
    }

    public void setTestOnBorrow(boolean testOnBorrow) {
        this.testOnBorrow = testOnBorrow;
    }

    public boolean isTestOnReturn() {
        return testOnReturn;
    }

    public void setTestOnReturn(boolean testOnReturn) {
        this.testOnReturn = testOnReturn;
    }

    public boolean isPoolPreparedStatements() {
        return poolPreparedStatements;
    }

    public void setPoolPreparedStatements(boolean poolPreparedStatements) {
        this.poolPreparedStatements = poolPreparedStatements;
    }

    public int getMaxPoolPreparedStatementPerConnectionSize() {
        return maxPoolPreparedStatementPerConnectionSize;
    }

    public void setMaxPoolPreparedStatementPerConnectionSize(int maxPoolPreparedStatementPerConnectionSize) {
        this.maxPoolPreparedStatementPerConnectionSize = maxPoolPreparedStatementPerConnectionSize;
    }

    public String getFilters() {
        return filters;
    }

    public void setFilters(String filters) {
        this.filters = filters;
    }

    public String getConnectionProperties() {
        return connectionProperties;
    }

    public void setConnectionProperties(String connectionProperties) {
        this.connectionProperties = 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 DruidDataSource dataSource() throws SQLException {
        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);

        datasource.setFilters(filters);


        return datasource;
    }
}

基于注解的配置StatView的Servlet

Filter的实现类：

package com.lf.config;

import com.alibaba.druid.support.http.WebStatFilter;

import javax.servlet.annotation.WebFilter;
import javax.servlet.annotation.WebInitParam;


@WebFilter(filterName = "druidWebStatFilter", urlPatterns = "/*",
        initParams = {
                @WebInitParam(name = "exclusions", value = "*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")//忽略资源
        }
)
public class DruidStatFilter extends WebStatFilter {
}

StatViewServlet:

package com.lf.config;

import com.alibaba.druid.support.http.StatViewServlet;

import javax.servlet.annotation.WebInitParam;
import javax.servlet.annotation.WebServlet;



@WebServlet(urlPatterns = "/druid/*",
        initParams = {
                @WebInitParam(name = "allow", value = "127.0.0.1,192.168.163.1"),// IP白名单(没有配置或者为空，则允许所有访问)
                @WebInitParam(name = "deny", value = "192.168.1.73"),// IP黑名单 (存在共同时，deny优先于allow)
                @WebInitParam(name = "loginUsername", value = "admin"),// 用户名
                @WebInitParam(name = "loginPassword", value = "123456"),// 密码
                @WebInitParam(name = "resetEnable", value = "false")// 禁用HTML页面上的“Reset All”功能
        })
public class DruidStatViewServlet extends StatViewServlet {
    private static final long serialVersionUID = -2688872071445249539L;
}

在启动类上加入@ServletComponentScan注解

基于Java的配置StatView的Servlet

package com.lf.config;

import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;


@Configuration
public class DruidConfig {
    @Bean
    public ServletRegistrationBean registrationBean() {
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet());        //添加初始化参数：initParams
        servletRegistrationBean.addUrlMappings("/druid/*");
        //白名单：
        servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
        //IP黑名单 (存在共同时，deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.
        servletRegistrationBean.addInitParameter("deny", "192.168.1.73");
        //登录查看信息的账号密码.
        servletRegistrationBean.addInitParameter("loginUsername", "admin");
        servletRegistrationBean.addInitParameter("loginPassword", "123456");
        //是否能够重置数据.
        servletRegistrationBean.addInitParameter("resetEnable", "false");
        return servletRegistrationBean;
    }

    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        //添加过滤规则.
        filterRegistrationBean.addUrlPatterns("/*");
        //添加不需要忽略的格式信息.
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }
}

访问： http://192.168.163.1:8080/druid/index.html

运行界面以及介绍

账号和密码为在servlet中配置的

附：使用JdbcTemplate操作数据库

(1)数据源配置

在我们访问数据库的时候，需要先配置一个数据源，下面分别介绍一下几种不同的数据库配置方式。

首先，为了连接数据库需要引入jdbc支持，在pom.xml中引入如下配置：

<dependency>
     <groupId>org.springframework.boot</groupId>
     <artifactId>spring-boot-starter-jdbc</artifactId>
 </dependency>

(2)嵌入式数据库支持

嵌入式数据库通常用于开发和测试环境，不推荐用于生产环境。Spring Boot提供自动配置的嵌入式数据库有H2、HSQL、Derby，你不需要提供任何连接配置就能使用。

<dependency>
    <groupId>org.hsqldb</groupId>
    <artifactId>hsqldb</artifactId>
    <scope>runtime</scope>
</dependency>

(3)连接生产数据源

(4)使用JdbcTemplate操作数据库

Spring的JdbcTemplate是自动配置的，你可以直接使用@Autowired来注入到你自己的bean中来使用。

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Component;

@Component
public class MyBean {

    private final JdbcTemplate jdbcTemplate;

    @Autowired
    public MyBean(JdbcTemplate jdbcTemplate) {
        this.jdbcTemplate = jdbcTemplate;
    }
    // ...
}

案例:

package com.forezp.dao.impl;

import com.forezp.dao.IAccountDAO;
import com.forezp.entity.Account;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.BeanPropertyRowMapper;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Repository;

import java.util.List;

@Repository
public class AccountDaoImpl implements IAccountDAO {

    @Autowired
    private JdbcTemplate jdbcTemplate;
    @Override
    public int add(Account account) {
        return jdbcTemplate.update("insert into account(name, money) values(?, ?)",
              account.getName(),account.getMoney());

    }

    @Override
    public int update(Account account) {
        return jdbcTemplate.update("UPDATE  account SET NAME=? ,money=? WHERE id=?",
                account.getName(),account.getMoney(),account.getId());
    }

    @Override
    public int delete(int id) {
        return jdbcTemplate.update("DELETE from TABLE account where id=?",id);
    }

    @Override
    public Account findAccountById(int id) {
        List<Account> list = jdbcTemplate.query("select * from account where id = ?", new Object[]{id}, new BeanPropertyRowMapper(Account.class));
        if(list!=null && list.size()>0){
            Account account = list.get(0);
            return account;
        }else{
            return null;
        }
    }

    @Override
    public List<Account> findAccountList() {
        List<Account> list = jdbcTemplate.query("select * from account", new Object[]{}, new BeanPropertyRowMapper(Account.class));
        if(list!=null && list.size()>0){
            return list;
        }else{
            return null;
        }
    }
}

JPA全称Java Persistence API.JPA通过JDK 5.0注解或XML描述对象－关系表的映射关系，并将运行期的实体对象持久化到数据库中。

JPA 的目标之一是制定一个可以由很多供应商实现的API，并且开发人员可以编码来实现该API，而不是使用私有供应商特有的API。

JPA就是Hibernate功能的一个子集。

案例:

spring:
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://mysql3:3306/test?useUnicode=true&characterEncoding=utf8&characterSetResults=utf8
    username: root
    password: root

  jpa:
    hibernate:
      ddl-auto: update  # 第一次简表create  后面用update
    show-sql: true

pom.xml

       <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.26</version>
        </dependency>

dao:

public interface AccountDao  extends JpaRepository<Account,Integer> {
}

controller:

package com.forezp.web;

import com.forezp.dao.AccountDao;
import com.forezp.entity.Account;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.List;

/**
 * 这里省略了service层，实际开发加上；
 */
@RestController
@RequestMapping("/account")
public class AccountController {

    @Autowired
    AccountDao accountDao;

    @RequestMapping(value = "/list", method = RequestMethod.GET)
    public List<Account> getAccounts() {
        return accountDao.findAll();
    }

    @RequestMapping(value = "/{id}", method = RequestMethod.GET)
    public Account getAccountById(@PathVariable("id") int id) {
        return accountDao.findOne(id);
    }

    @RequestMapping(value = "/{id}", method = RequestMethod.PUT)
    public String updateAccount(@PathVariable("id") int id, @RequestParam(value = "name", required = true) String name,
                                @RequestParam(value = "money", required = true) double money) {
        Account account = new Account();
        account.setMoney(money);
        account.setName(name);
        account.setId(id);
        Account account1 = accountDao.saveAndFlush(account);

        return account1.toString();

    }

    @RequestMapping(value = "", method = RequestMethod.POST)
    public String postAccount(@RequestParam(value = "name") String name,
                              @RequestParam(value = "money") double money) {
        Account account = new Account();
        account.setMoney(money);
        account.setName(name);
        Account account1 = accountDao.save(account);
        return account1.toString();

    }


}

外藩:

敏捷开发之beatlsql应用

beetlSql是一个全功能DAO工具，同时具有Hibernate 优点 & Mybatis优点功能，适用于承认以SQL为中心，同时又需求工具能自动能生成大量常用的SQL的应用。

beatlsql 优点

开发效率
- 无需注解，自动使用大量内置SQL，轻易完成增删改查功能，节省50%的开发工作量
- 数据模型支持Pojo，也支持Map/List这种快速模型，也支持混合模型
- SQL 模板基于Beetl实现，更容易写和调试，以及扩展
维护性
- SQL 以更简洁的方式，Markdown方式集中管理，同时方便程序开发和数据库SQL调试。
- 可以自动将sql文件映射为dao接口类
- 灵活直观的支持支持一对一，一对多，多对多关系映射而不引入复杂的OR Mapping概念和技术。
- 具备Interceptor功能，可以调试，性能诊断SQL，以及扩展其他功能
其他
- 内置支持主从数据库支持的开源工具
- 支持跨数据库平台，开发者所需工作减少到最小，目前跨数据库支持mysql,postgres,oracle,sqlserver,h2,sqllite,DB2.

beatlsql文档:

http://www.ibeetl.com/guide/#/beetlsql

案例:

项目结构:

pom.xml

<!--  beetlsql  -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-devtools</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>com.ibeetl</groupId>
            <artifactId>beetl</artifactId>
            <version>2.3.2</version>

        </dependency>

        <dependency>
            <groupId>com.ibeetl</groupId>
            <artifactId>beetlsql</artifactId>
            <version>2.3.1</version>

        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.26</version>
        </dependency>

由于springboot没有对 beatlsql的快速启动装配，所以需要我自己导入相关的bean，包括数据源，包扫描，事务管理器等。

package com.forezp;

import org.beetl.core.resource.WebAppResourceLoader;
import org.beetl.ext.spring.BeetlGroupUtilConfiguration;
import org.beetl.ext.spring.BeetlSpringViewResolver;
import org.beetl.sql.core.ClasspathLoader;
import org.beetl.sql.core.Interceptor;
import org.beetl.sql.core.UnderlinedNameConversion;
import org.beetl.sql.core.db.MySqlStyle;
import org.beetl.sql.ext.DebugInterceptor;
import org.beetl.sql.ext.spring4.BeetlSqlDataSource;
import org.beetl.sql.ext.spring4.BeetlSqlScannerConfigurer;
import org.beetl.sql.ext.spring4.SqlManagerFactoryBean;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;


import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.DefaultResourceLoader;
import org.springframework.core.io.support.ResourcePatternResolver;
import org.springframework.core.io.support.ResourcePatternUtils;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;

import javax.sql.DataSource;
import java.io.IOException;


@SpringBootApplication
public class SpringbootBeatlsqlApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringbootBeatlsqlApplication.class, args);
    }

    //配置文件
    @Bean(initMethod = "init", name = "beetlConfig")
    public BeetlGroupUtilConfiguration getBeetlGroupUtilConfiguration() {
        BeetlGroupUtilConfiguration beetlGroupUtilConfiguration = new BeetlGroupUtilConfiguration();
        ResourcePatternResolver patternResolver = ResourcePatternUtils.getResourcePatternResolver(new DefaultResourceLoader());
        try {
            // WebAppResourceLoader 配置root路径是关键
            WebAppResourceLoader webAppResourceLoader = new WebAppResourceLoader(patternResolver.getResource("classpath:/templates").getFile().getPath());
            beetlGroupUtilConfiguration.setResourceLoader(webAppResourceLoader);
        } catch (IOException e) {
            e.printStackTrace();
        }
        //读取配置文件信息
        return beetlGroupUtilConfiguration;

    }

    @Bean(name = "beetlViewResolver")
    public BeetlSpringViewResolver getBeetlSpringViewResolver(@Qualifier("beetlConfig") BeetlGroupUtilConfiguration beetlGroupUtilConfiguration) {
        BeetlSpringViewResolver beetlSpringViewResolver = new BeetlSpringViewResolver();
        beetlSpringViewResolver.setContentType("text/html;charset=UTF-8");
        beetlSpringViewResolver.setOrder(0);
        beetlSpringViewResolver.setConfig(beetlGroupUtilConfiguration);
        return beetlSpringViewResolver;
    }

    //配置包扫描
    @Bean(name = "beetlSqlScannerConfigurer")
    public BeetlSqlScannerConfigurer getBeetlSqlScannerConfigurer() {
        BeetlSqlScannerConfigurer conf = new BeetlSqlScannerConfigurer();
        conf.setBasePackage("com.forezp.dao");
        conf.setDaoSuffix("Dao");
        conf.setSqlManagerFactoryBeanName("sqlManagerFactoryBean");
        return conf;
    }

    @Bean(name = "sqlManagerFactoryBean")
    @Primary
    public SqlManagerFactoryBean getSqlManagerFactoryBean(@Qualifier("datasource") DataSource datasource) {
        SqlManagerFactoryBean factory = new SqlManagerFactoryBean();

        BeetlSqlDataSource source = new BeetlSqlDataSource();
        source.setMasterSource(datasource);
        factory.setCs(source);
        factory.setDbStyle(new MySqlStyle());
        factory.setInterceptors(new Interceptor[]{new DebugInterceptor()});
        factory.setNc(new UnderlinedNameConversion());//开启驼峰
        factory.setSqlLoader(new ClasspathLoader("/sql"));//sql文件路径
        return factory;
    }


    //配置数据库
    @Bean(name = "datasource")
    public DataSource getDataSource() {
        return DataSourceBuilder.create()
                .url("jdbc:mysql://mysql3:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai")
                .username("root")
                .password("root")
                .driverClassName("com.mysql.cj.jdbc.Driver")
                .build();
    }

    //开启事务
    @Bean(name = "txManager")
    public DataSourceTransactionManager getDataSourceTransactionManager(@Qualifier("datasource") DataSource datasource) {
        DataSourceTransactionManager dsm = new DataSourceTransactionManager();
        dsm.setDataSource(datasource);
        return dsm;
    }
}

在resouces包下，加META_INF文件夹，文件夹中加入spring-devtools.properties:

restart.include.beetl=/beetl-2.3.2.jar
restart.include.beetlsql=/beetlsql-2.3.1.jar

在templates下加一个index.btl文件。

total = ${total}

posted on 2022-08-10 16:04 让代码飞阅读(1105) 评论(0) 收藏举报

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