Pocket's core Object/Relational Mapping functionality
If you have an improvement, I will be happy to get a pull request from you! Github
To get a Git project into your build:
Step 1. Add the JitPack repository to your build file
Add it in your root build.gradle at the end of repositories:
allprojects {
repositories {
...
maven { url 'https://jitpack.io' }
}
}
Step 2. Add the dependency
dependencies {
implementation 'com.github.leyan95:pocket:Tag'
}
_
多数据源配置
这里以MySQL数据库为例
配置信息
pocket:
serverId: 200
datasource:
node:
- url: jdbc:mysql://127.0.0.1:3306/pocket1
nodeName: mysql-01
driverName: com.mysql.cj.jdbc.Driver
showSql: false
user: root
password: root
poolMiniSize: 10
poolMaxSize: 15
timeout: 1000
session: homo,user
- url: jdbc:mysql://127.0.0.1:3306/pocket2
nodeName: mysql-02
driverName: com.mysql.cj.jdbc.Driver
showSql: true
user: root
password: root
poolMiniSize: 10
poolMaxSize: 15
timeout: 1000
##根据session找到数据库并从数据库对应的连接池中获取数据库链接,故所有session不可重复
session: session1,session2
实体类规范
主类
@Entity(table = "TBL_ORDER", tableId = 200)
public class Order extends BaseEntity {
private static final long serialVersionUID = 2560385391551524826L;
@Column(name = "CODE")
private String code;
@Column(name = "PRICE")
private BigDecimal price;
@Column(name = "DAY")
private Date day;
@Column(name = "TIME")
private Date time;
@Column(name = "STATE")
private Boolean state;
@Join(columnName = "TYPE", businessName = "订单支付方式",
joinTable = "TBL_ORDER_TYPE", joinMethod = JoinMethod.LEFT,
bridgeColumn = "UUID", destinationColumn = "NAME")
private String type;
@OneToMany(clazz = Commodity.class, bridgeField = "order")
private List commodities;
// 这里省略 getter setter
}
明细类
@Entity(table = "TBL_COMMODITY", tableId = 201, businessName = "订单明细")
public class Commodity extends BaseEntity {
private static final long serialVersionUID = -6711578420837877371L;
@Column(name = "NAME")
private String name;
@Column(name = "PRICE")
private BigDecimal price;
@ManyToOne(columnName = "ORDER_UUID", clazz = Order.class, upBridgeField = "uuid")
private Long order;
// getter setter
}
- 继承
BaseEntity
抽象类(数据标识为String
)- 类注解
@Entity
,table
对应数据库表名;tableId
对应数据库表标识,目的是为了在生成数据标识的时候区分表;uuidGenerator
对应主键生成策略,默认increment
,可通过集继承AbstractUuidGenerator
自定义主键生成策。- 属性注解
@Column
,name
对应数据库中对应的列名称- 属性注解
@OneToMany
,clazz
对应子类的类类型,name
对应该表数据标识在其子表中的字段名称- 属性注解
@ManyToOne
,name
关联主表数据标识的列名称
数据操作(具体操作请参考接口文档)
获取缓存对象
通过SessionFactory
的静态方法Session getSession(String sessionName)
获取对象。
使用 Session 进行数据操作
// 开启事务
this.session = SessionFactory.getSession("homo");
this.session.open();
this.transaction = session.getTransaction();
this.transaction.begin();
// 查询
RelevantBill order = (RelevantBill) this.session.findOne(RelevantBill.class, "10130");
System.out.println(order.getCode());
order.setCode("Hello-001");
// 更新
this.session.update(order);
System.out.println(order.getCode());
// 删除
this.session.delete(order);
// 关闭事务
this.transaction.commit();
this.session.close();
使用 Criteria 根据条件查询数据
// 此处省略session开关操作
Criteria criteria = this.session.createCriteria(Order.class);
criteria.add(Restrictions.like("code", "%A%"))
.add(Restrictions.or(
Restrictions.gt("price", 13),
Restrictions.lt("price", 12.58)
))
.add(Sort.desc("price"))
.add(Sort.asc("uuid"))
.limit(0, 5);
List orderList = criteria.list();
使用 Criteria 更新数据
// 此处省略session开关操作
Criteria criteria = this.session.createCriteria(Order.class);
criteria.add(Modern.set("price", 500.5D))
.add(Modern.set("day", new Date())
.add(Restrictions.equ("code", "C-001")));
System.out.println(criteria.update());
// 为保持数据一致性,已支持表达式更新,
// # 后面跟对应对象中的属性名,
// : 后对应参数(后面不要忘了调用setParameter)
session.createCriteria(Order.class)
// 在原数据基础上进行拼接
.add(Modern.setWithPoEl("#code = CONCAT_WS('', #code, :STR_VALUE)"))
// 在原数据的基础上进行加操作
.add(Modern.setWithPoEl("#price = #price + :ADD_PRICE"))
//条件过滤
.add(Restrictions.equ("uuid", "10"))
// 给 :STR_VALUE 参数赋值
.setParameter("STR_VALUE", " - A")
// 给 :ADD_PRICE 参数赋值
.setParameter("ADD_PRICE", 100)
// 执行更新操作
.update();
使用 Criteria 根据条件删除数据
// 此处省略session开关操作
Criteria criteria = session.createCriteria(Order.class);
criteria.add(Restrictions.equ("uuid", 1011011L));
criteria.delete();
使用 SQLQuery
SQLQuery query = this.session.createSQLQuery("select uuid,code,price from tbl_order",
Order.class);
Order order = (Order) query.unique();
SQLQuery query = this.session.createSQLQuery("select uuid,code,price from tbl_order",
Order.class);
List orders = query.limit(0, 5).list();
使用 ProcessQuery 调用存储过程查询数据
// 省略session开关操作
ProcessQuery processQuery = session.createProcessQuery("{call test(?)}");
processQuery.setParameters(new String[]{"蚂蚁"});
Function mapperFunction = (resultSet) -> {
try {
Order order = new Order();
order.setCode(resultSet.getString(1));
return order;
} catch (SQLException e) {
e.printStackTrace();
return null;
}
};
Order order = processQuery.unique(mapperFunction);
System.out.println(order.getCode());
保存历史数据 @Track
参数 | 值 |
---|---|
data | 存储对哪个实体操作的历史数据 |
operator | 操作人 |
operate | 操作类型 OperateEnum |
@Repository
public class UserRepositoryImpl extends AbstractRepository implements UserRepository {
@Override
@Track(data = "#user", operator = "#avatar", operate = OperateEnum.SAVE)
public int save(User user, String avatar) {
user.setEnable(true);
return this.getSession().save(user);
}
}
笔者不建议在程序中拼写
SQL
, 故未对SQLQuery
ProcessQuery
做过多的支持,此处就不做赘述。
在接下来的版本中将会支持将SQL
写在xml
文件中的方式。
License
MIT