Data Access Object
大约 2 分钟
目的
对象为某种类型的数据库或其他持久性机制提供了抽象接口。
解释
真实世界例子
有一组客户数据需要持久化到数据库中。 我们需要整个额外的增删改查操作以便操作客户数据。
通俗的说
DAO是我们通过基本持久性机制提供的接口。
维基百科说
在计算机软件中,数据访问对象(DAO)是一种模式,可为某种类型的数据库或其他持久性机制提供抽象接口。
程序示例
通过我们的客户示例,下面是基本的客户
实体。
public class Customer {
private int id;
private String firstName;
private String lastName;
public Customer(int id, String firstName, String lastName) {
this.id = id;
this.firstName = firstName;
this.lastName = lastName;
}
// getters and setters ->
...
}
这是CustomerDao
接口及其两个不同的实现。
Here's the CustomerDao
interface and two different implementations for it. InMemoryCustomerDao
将简单的客户数据映射保存在内存中 而DBCustomerDao
是真正的RDBMS实现。
public interface CustomerDao {
Stream<Customer> getAll() throws Exception;
Optional<Customer> getById(int id) throws Exception;
boolean add(Customer customer) throws Exception;
boolean update(Customer customer) throws Exception;
boolean delete(Customer customer) throws Exception;
}
public class InMemoryCustomerDao implements CustomerDao {
private final Map<Integer, Customer> idToCustomer = new HashMap<>();
// implement the interface using the map
...
}
public class DbCustomerDao implements CustomerDao {
private static final Logger LOGGER = LoggerFactory.getLogger(DbCustomerDao.class);
private final DataSource dataSource;
public DbCustomerDao(DataSource dataSource) {
this.dataSource = dataSource;
}
// implement the interface using the data source
...
最后,这是我们使用DAO管理客户数据的方式。
final var dataSource = createDataSource();
createSchema(dataSource);
final var customerDao = new DbCustomerDao(dataSource);
addCustomers(customerDao);
log.info(ALL_CUSTOMERS);
try (var customerStream = customerDao.getAll()) {
customerStream.forEach((customer) -> log.info(customer.toString()));
}
log.info("customerDao.getCustomerById(2): " + customerDao.getById(2));
final var customer = new Customer(4, "Dan", "Danson");
customerDao.add(customer);
log.info(ALL_CUSTOMERS + customerDao.getAll());
customer.setFirstName("Daniel");
customer.setLastName("Danielson");
customerDao.update(customer);
log.info(ALL_CUSTOMERS);
try (var customerStream = customerDao.getAll()) {
customerStream.forEach((cust) -> log.info(cust.toString()));
}
customerDao.delete(customer);
log.info(ALL_CUSTOMERS + customerDao.getAll());
deleteSchema(dataSource);
程序输出:
customerDao.getAllCustomers():
Customer{id=1, firstName='Adam', lastName='Adamson'}
Customer{id=2, firstName='Bob', lastName='Bobson'}
Customer{id=3, firstName='Carl', lastName='Carlson'}
customerDao.getCustomerById(2): Optional[Customer{id=2, firstName='Bob', lastName='Bobson'}]
customerDao.getAllCustomers(): java.util.stream.ReferencePipeline$Head@7cef4e59
customerDao.getAllCustomers():
Customer{id=1, firstName='Adam', lastName='Adamson'}
Customer{id=2, firstName='Bob', lastName='Bobson'}
Customer{id=3, firstName='Carl', lastName='Carlson'}
Customer{id=4, firstName='Daniel', lastName='Danielson'}
customerDao.getAllCustomers(): java.util.stream.ReferencePipeline$Head@2db0f6b2
customerDao.getAllCustomers():
Customer{id=1, firstName='Adam', lastName='Adamson'}
Customer{id=2, firstName='Bob', lastName='Bobson'}
Customer{id=3, firstName='Carl', lastName='Carlson'}
customerDao.getCustomerById(2): Optional[Customer{id=2, firstName='Bob', lastName='Bobson'}]
customerDao.getAllCustomers(): java.util.stream.ReferencePipeline$Head@12c8a2c0
customerDao.getAllCustomers():
Customer{id=1, firstName='Adam', lastName='Adamson'}
Customer{id=2, firstName='Bob', lastName='Bobson'}
Customer{id=3, firstName='Carl', lastName='Carlson'}
Customer{id=4, firstName='Daniel', lastName='Danielson'}
customerDao.getAllCustomers(): java.util.stream.ReferencePipeline$Head@6ec8211c
类图
适用性
在以下情况下,请使用数据访问对象::
- 当您要巩固如何访问数据层时。
- 当您要避免编写多个数据检索/持久层时。