SpringBoot整合阿里Druid数据源及Spring-Data-Jpa
最近开辟了一个新项目,因为初期考虑到可能会调整数据库的风险,所以orm,在设计之初就考虑为Spring Data Jpa, 以下是工程data层数据,整体是参照配置多数据源的方案,进行配置的
目录
- 因为阿里数据源
Druid
- 整合数据源及其他事务配置
- pom依赖
整合事务
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@EnableAutoConfiguration
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@SpringBootApplication
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@EnableTransactionManagement
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@ComponentScan(basePackages = {"com.inn.developer"})
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public class CodeApplication {
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public static void main(String[] args) {
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new SpringApplicationBuilder().web(true).sources(CodeApplication.class).run(args);
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}
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}
创建DruidProperties
配置
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@Data
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@AllArgsConstructor
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@NoArgsConstructor
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@ConfigurationProperties(prefix = "druid")
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public class DruidProperties {
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...
数据库参数可以参考:
参数 | 默认值 | 解释 |
---|---|---|
initialSize | 3 | 初始化配置 |
minIdle | 3 | 最小连接数 |
maxActive | 15 | 最大连接数 |
maxWait | 5000 | 获取连接超时时间(单位:ms) |
timeBetweenEvictionRunsMillis | 90000 | 连接有效性检测时间(单位:ms) |
testOnBorrow | false | 获取连接检测 |
testOnReturn | false | 归还连接检测 |
minEvictableIdleTimeMillis | 1800000 | 最大空闲时间(单位ms) |
testWhileIdle | true | 在获取连接后,确定是否要进行连接空间时间的检查 |
- 配置说明:
1:minEvictableIdleTimeMillis(最大空闲时间):默认为30分钟,配置里面不进行设置。
2:testOnBorrow ,testOnReturn 默认为关闭,可以设置为不配置。
3:testWhileIdle(在获取连接后,确定是否要进行连接空闲时间的检查)。默认为true。配置里面不再进行设置。
- 流程说明:
1:在第一次调用connection的时候,才会进行 initialSize的初始化。
2:心跳检测时间线程,会休眠timeBetweenEvictionRunsMillis时间,然后只对(没有borrow的线程 减去 minIdle)的线程进行检查,如果空闲时间大于minEvictableIdleTimeMillis则进行close。
3:testWhileIdle必须设置为true,在获取到连接后,先检查testOnBorrow,然后再判定testwhileIdle,如果连接空闲时间大于timeBetweenEvictionRunsMillis,则会进行心跳检测。
4:不需要配置validationQuery,如果不配置的情况下会走ping命令,性能更高。
5:连接保存在数组里面,获取连接的时候,获取数组的最后一位。在imeBetweenEvictionRunsMillis时是从前往后进行检查连接的有效性。
配置数据源及hibernate适配
数据源对象创建还是和之前一样,
笔者不太喜欢xml的方式,所以还是采用配置类
DruidAutoJpaConfiguration
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@Configuration
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@EnableConfigurationProperties(DruidProperties.class)//开启属性注入,通过@autowired注入
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@ConditionalOnClass(DruidDataSource.class)//表示对应的类在classpath目录下存在时,才会去解析对应的配置文件
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@ConditionalOnProperty(prefix = "druid", name = "url")
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@EnableJpaRepositories(basePackages = "com.inn.developer.model.dao",transactionManagerRef = "jpaTransactionManager", entityManagerFactoryRef = "localContainerEntityManagerFactoryBean")
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public class DruidAutoJpaConfiguration {
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@Autowired
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private DruidProperties properties;
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@Bean(name = "druidDataSource")
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@Primary
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public DataSource dataSource() {
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DruidDataSource dataSource = new DruidDataSource();
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dataSource.setUrl(properties.getUrl());
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dataSource.setUsername(properties.getUsername());
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dataSource.setPassword(properties.getPassword());
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dataSource.setTimeBetweenEvictionRunsMillis(properties.getTimeBetweenEvictionRunsMillis());
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if (properties.getInitialSize() > 0) {
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dataSource.setInitialSize(properties.getInitialSize());
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}
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if (properties.getMinIdle() > 0) {
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dataSource.setMinIdle(properties.getMinIdle());
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}
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if (properties.getMaxActive() > 0) {
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dataSource.setMaxActive(properties.getMaxActive());
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}
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dataSource.setTestOnBorrow(properties.isTestOnBorrow());
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dataSource.setValidationQuery("select version()");
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try {
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dataSource.init();
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} catch (SQLException e) {
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throw new RuntimeException(e);
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}
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return dataSource;
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}
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/**
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* hibernate 适配器,定制方言为mysql,并打印sql
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*
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* @return
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*/
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@Bean(name = "hibernateJpaVendorAdapter")
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@Primary
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public HibernateJpaVendorAdapter hibernateJpaVendorAdapter() {
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HibernateJpaVendorAdapter hibernateJpaVendorAdapter = new HibernateJpaVendorAdapter();
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hibernateJpaVendorAdapter.setShowSql(true);
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hibernateJpaVendorAdapter.setDatabasePlatform("org.hibernate.dialect.MySQL5Dialect");
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return hibernateJpaVendorAdapter;
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}
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@Bean(name = "localContainerEntityManagerFactoryBean")
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@Primary
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public LocalContainerEntityManagerFactoryBean entityManagerFactoryBean(@Qualifier("druidDataSource") DataSource dataSource
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,@Qualifier("hibernateJpaVendorAdapter") HibernateJpaVendorAdapter hibernateJpaVendorAdapter) {
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LocalContainerEntityManagerFactoryBean local = new LocalContainerEntityManagerFactoryBean();
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local.setDataSource(dataSource);
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local.setJpaVendorAdapter(hibernateJpaVendorAdapter);
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local.setPackagesToScan("com.inn.developer.model.domain");
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Properties properties = new Properties();
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properties.put("hibernate.format_sql", true);
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properties.put("hibernate.hbm2ddl.auto", "update");
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local.setJpaProperties(properties);
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return local;
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}
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@Bean(name = "jpaTransactionManager")
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@Primary
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public JpaTransactionManager jpaTransactionManager(@Qualifier("localContainerEntityManagerFactoryBean") LocalContainerEntityManagerFactoryBean entityManagerFactoryBean) {
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JpaTransactionManager jpaTransactionManager = new JpaTransactionManager();
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EntityManagerFactory object = entityManagerFactoryBean.getObject();
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jpaTransactionManager.setEntityManagerFactory(object);
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return jpaTransactionManager;
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}
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pom依赖
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<dependency>
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<groupId>mysql</groupId>
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<artifactId>mysql-connector-java</artifactId>
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</dependency>
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter-data-jpa</artifactId>
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</dependency>
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<dependency>
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<groupId>org.projectlombok</groupId>
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<artifactId>lombok</artifactId>
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<version>1.16.6</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>com.alibaba</groupId>
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<artifactId>druid</artifactId>
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<version>1.0.11</version>
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</dependency>
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<!--依赖Spring 4.3.6之core、context、aop、beans、tx、orm和spring data commons -->
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<dependency>
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<groupId>org.springframework.data</groupId>
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<artifactId>spring-data-jpa</artifactId>
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<version>1.11.3.RELEASE</version>
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</dependency>
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<!--hibernate 实现JPA的框架 -->
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<dependency>
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<groupId>org.hibernate</groupId>
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<artifactId>hibernate-entitymanager</artifactId>
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<version>5.2.5.Final</version>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.hibernate/hibernate-core -->
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<dependency>
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<groupId>org.hibernate</groupId>
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<artifactId>hibernate-core</artifactId>
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<version>5.2.11.Final</version>
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</dependency>
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<!-- https://mvnrepository.com/artifact/org.hibernate/hibernate-annotations -->
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<dependency>
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<groupId>org.hibernate</groupId>
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<artifactId>hibernate-annotations</artifactId>
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<version>3.5.6-Final</version>
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</dependency>
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文章来源: springlearn.blog.csdn.net,作者:西魏陶渊明,版权归原作者所有,如需转载,请联系作者。
原文链接:springlearn.blog.csdn.net/article/details/102425348
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