前言
前一篇博文，已经完整的介绍了数据库脱敏的场景以及方案，来自京东数科的Sharding-JDBC开源项目通过对数据源中间代理的方式透明化的实现了这个功能，但是，功能虽然实现了，sql兼容的小问题还是很多，比如目前还不支持子查询，数据库定义的关键字不允许使用，等等问题，反观我们需要加解密的字段，其实占比非常小，即使遇到了和组件不兼容的地方也可以稍加改动解决掉，所以最后博主给出了一个比较完善的组件集成方案：多数据源模式，需要加解密的数据源和业务其他数据源隔离。即解决了数据库字段加解密的额问题，同时也解决了组件对sql的兼容问题。下面是具体的集成步骤以及需要注意的点
引入依赖
代码语言：javascript复制 org.apache.shardingsphere
sharding-jdbc-spring-boot-starter
${sharding.jdbc.version}这里需要说明下，虽然采用多数据源兼容后，不能使用组件基于spring boot自动装配功能了，但是这里还是建议导入sharding-spring-boot-starter包，因为这个包下内置了配置映射的类，在自定义数据源的时候非常有用
添加sharding数据源配置
代码语言：javascript复制#数据库源配置
spring.shardingsphere.datasource.name = ds
spring.shardingsphere.datasource.ds.type = com.zaxxer.hikari.HikariDataSource
spring.shardingsphere.datasource.ds.driver-class-name = com.mysql.jdbc.Driver
spring.shardingsphere.datasource.ds.jdbc-url = jdbc:mysql://xxx?autoReconnect=true&useUnicode=true&characterEncoding=utf-8
spring.shardingsphere.datasource.ds.username = root
spring.shardingsphere.datasource.ds.password = xxx
spring.shardingsphere.encrypt.encryptors.encryptor_aes.type = aes
spring.shardingsphere.encrypt.encryptors.encryptor_aes.props.aes.key.value = 123456
spring.shardingsphere.encrypt.tables.account.columns.password.plainColumn = password
spring.shardingsphere.encrypt.tables.account.columns.password.cipherColumn = password_encrypt
spring.shardingsphere.encrypt.tables.account.columns.password.encryptor = encryptor_aes
spring.shardingsphere.props.sql.show = true
spring.shardingsphere.props.query.with.cipher.column = true排除自动装配
代码语言：javascript复制@SpringBootApplication(exclude = SpringBootConfiguration.class)由于导入了starter包，所以这里需要手动排除自动装载类，
业务数据源配置
多数据源后，业务本身的数据源也需要手动配置，默认的spring boot jpa自动转载类会判断上线文中是否存在EntityManagerFactory类，如果有就不会初始化了，所以两个数据源都需要手动配置
代码语言：javascript复制@Configuration
@EnableConfigurationProperties(JpaProperties.class)
public class DataSourceConfiguration{
private final JpaProperties jpaProperties;
private final Environment environment;
public DataSourceConfiguration(JpaProperties jpaProperties, Environment environment) {
this.jpaProperties = jpaProperties;
this.environment = environment;
}
@Primary
@Bean
public DataSource dataSource(){
String prefix = "spring.shardingsphere.datasource.";
String each = getDataSourceNames(prefix).get(0);
try {
return getDataSource(prefix, each);
} catch (final ReflectiveOperationException ex) {
throw new ShardingSphereException("Can't find datasource type!", ex);
}
}
@Primary
@Bean
public EntityManagerFactory entityManagerFactory() {
HibernateJpaVendorAdapter vendorAdapter = new HibernateJpaVendorAdapter();
vendorAdapter.setDatabase(Database.MYSQL);
vendorAdapter.setGenerateDdl(true);
vendorAdapter.setShowSql(true);
LocalContainerEntityManagerFactoryBean factory = new LocalContainerEntityManagerFactoryBean();
factory.setJpaVendorAdapter(vendorAdapter);
factory.setPersistenceUnitName("default");
factory.setPackagesToScan(Constants.BASE_PACKAGES);
factory.setDataSource(dataSource());
factory.setJpaPropertyMap(jpaProperties.getProperties());
factory.afterPropertiesSet();
return factory.getObject();
}
@Bean
@Primary
public EntityManager entityManager(EntityManagerFactory entityManagerFactory){
return SharedEntityManagerCreator.createSharedEntityManager(entityManagerFactory);
}
@Primary
@Bean
public PlatformTransactionManager transactionManager(EntityManagerFactory entityManagerFactory){
JpaTransactionManager txManager = new JpaTransactionManager();
txManager.setEntityManagerFactory(entityManagerFactory);
return txManager;
}
private ListgetDataSourceNames(final String prefix) {
StandardEnvironment standardEnv = (StandardEnvironment) environment;
standardEnv.setIgnoreUnresolvableNestedPlaceholders(true);
return null == standardEnv.getProperty(prefix "name")
? new InlineExpressionParser(standardEnv.getProperty(prefix "names")).splitAndEvaluate() : Collections.singletonList(standardEnv.getProperty(prefix "name"));
}
@SuppressWarnings("unchecked")
private DataSource getDataSource(final String prefix, final String dataSourceName) throws ReflectiveOperationException {
Map dataSourceProps = PropertyUtil.handle(environment, prefix dataSourceName.trim(), Map.class);
Preconditions.checkState(!dataSourceProps.isEmpty(), "Wrong datasource properties!");
DataSource result = DataSourceUtil.getDataSource(dataSourceProps.get("type").toString(), dataSourceProps);
DataSourcePropertiesSetterHolder.getDataSourcePropertiesSetterByType(dataSourceProps.get("type").toString()).ifPresent(
dataSourcePropertiesSetter -> dataSourcePropertiesSetter.propertiesSet(environment, prefix, dataSourceName, result));
return result;
}
}上面代码需要注意三个地方，一是数据源的配置，是以sharding的配置来解析获得的，是因为我们已经集成过了，不想改动配置，所以如此，如果还没集成过，可以直接使用spring 配置数据源的方式配置即可。二是EntityManager的初始化，通过SharedEntityManagerCreator包装了下，是因为我们业务的查询通过继承SimpleJpaRepository来扩展功能的，通过SharedEntityManagerCreator包装保留了完整的事务功能。三是需要给所有的业务数据源的配置添加 @Primary注解，让sprign上下文默认使用业务数据源
加解密数据源配置
代码语言：javascript复制/**
* @author: kl @kailing.pub
* @date: 2020/5/18
*/
@Configuration
@EnableConfigurationProperties({JpaProperties.class,SpringBootEncryptRuleConfigurationProperties.class, SpringBootPropertiesConfigurationProperties.class})
@AutoConfigureAfter({DataSourceAutoConfiguration.class, DataSourceConfiguration.class})
public class EncryptDataSourceConfiguration {
private final SpringBootPropertiesConfigurationProperties props;
private final SpringBootEncryptRuleConfigurationProperties encryptRule;
private final JpaProperties jpaProperties;
private final DataSource dataSource;
public EncryptDataSourceConfiguration(SpringBootPropertiesConfigurationProperties props, SpringBootEncryptRuleConfigurationProperties encryptRule, JpaProperties jpaProperties, DataSource dataSource) {
this.props = props;
this.encryptRule = encryptRule;
this.jpaProperties = jpaProperties;
this.dataSource = dataSource;
}
@Bean
public DataSource encryptDataSource() throws SQLException {
return EncryptDataSourceFactory.createDataSource(dataSource, new EncryptRuleConfigurationYamlSwapper().swap(encryptRule), props.getProps());
}
@Bean
public EntityManagerFactory encryptEntityManagerFactory() throws SQLException {
HibernateJpaVendorAdapter vendorAdapter = new HibernateJpaVendorAdapter();
vendorAdapter.setDatabase(Database.MYSQL);
LocalContainerEntityManagerFactoryBean factory = new LocalContainerEntityManagerFactoryBean();
factory.setJpaVendorAdapter(vendorAdapter);
factory.setPersistenceUnitName("encryptPersistenceUnit");
factory.setPackagesToScan(Constants.BASE_PACKAGES);
factory.setDataSource(encryptDataSource());
factory.setJpaPropertyMap(jpaProperties.getProperties());
factory.afterPropertiesSet();
return factory.getObject();
}
@Bean
public EntityManager encryptEntityManager() throws SQLException {
return SharedEntityManagerCreator.createSharedEntityManager(encryptEntityManagerFactory());
}
@Bean
public PlatformTransactionManager encryptTransactionManager() throws SQLException {
JpaTransactionManager txManager = new JpaTransactionManager();
txManager.setEntityManagerFactory(encryptEntityManagerFactory());
return txManager;
}
}加解密数据源的源来自于业务数据源，只是在这里给业务数据源又代理了一层加解密的逻辑。加解密的规则配置采用了sharding-spring-boot-starter包中的映射类，所以可以保留和spring boot配置方式一致。
加解密数据源的使用
在使用时，因为默认使用的是业务数据源，所以需要在需要加解密的地方通过@Qualifier("encryptEntityManager")显示的注入加解密的数据源代理，如：
代码语言：javascript复制@Repository
public class AccountRepository extends AbstractJpaRepository {
public AccountRepository(@Qualifier("encryptEntityManager") EntityManager em) {
super(AccountModel.class, em);
}
@Override
@Transactional(transactionManager = "encryptTransactionManager")
public S save(S entity) {
return super.save(entity);
}
}另，需要手动指定加解密数据源的事务管理器
结语 没有十全十美的组件，Sharding-JDBC的数据脱敏方案已经趋向于完美了。由于组件本身的架构设计，确实不好做到100%的兼容。在发现加解密组件不支持子查询时，博主发现实现这个功能很简单，尝试过向官方添加这个功能提交pr。经过对组件的进一步了解发现，从全局考虑实现这个功能非常复杂，也就放弃了。目前这个多数据源模式可以很好的解决这个问题，如果有更好的集成方案，欢迎在下面留言交流
