Native sql (本地sql)在Hibernate中

Native sql 本地sqlHibernate

http://www.hibernate.org/hib_docs/v3/reference/en/html/querysql.html

 

使用SQLQuery

 

1.      标量查询scalar query

sess.CreateSQLQuery("SELECT * FROM CATS")

 .AddScalar("ID", NHibernateUtil.Int64)

 .AddScalar("NAME", NHibernateUtil.String)

 .AddScalar("BIRTHDATE", NHibernateUtil.Date)

返回ListObject[],每个Object有上述三个字段组成。

2.      Entity query

sess.CreateSQLQuery("SELECT * FROM CATS").AddEntity(typeof(Cat));

sess.CreateSQLQuery("SELECT ID, NAME, BIRTHDATE FROM CATS").AddEntity(typeof(Cat));

返回ListCat[]

 

 

3.      处理associationcollections

sess.CreateSQLQuery("SELECT c.*, m.*  FROM CATS c, CATS m WHERE c.MOTHER_ID = c.ID")

 .AddEntity("cat", typeof(Cat))

 .AddEntity("mother", typeof(Cat))

每行将返回两个Cat对象:一个Cat,一个Catmother

但是上面的代码会造成列名的冲突问题。

因此:

sess.CreateSQLQuery("SELECT {cat.*}, {mother.*}  FROM CATS c, CATS m WHERE c.MOTHER_ID = c.ID")

 .AddEntity("cat", typeof(Cat))

 .AddEntity("mother", typeof(Cat))

 

4.      aliasproperty引用

Description

Syntax

Example

A simple property

{[aliasname].[propertyname]}

A_NAME as {item.Name}

A composite property

{[aliasname].[componentname].[propertyname]}

CURRENCY as {item.Amount.Currency}, VALUE as {item.Amount.Value}

Discriminator of an entity

{[aliasname].class}

DISC as {item.class}

All properties of an entity

{[aliasname].*}

{item.*}

A collection key

{[aliasname].key}

ORGID as {coll.key}

The id of an collection

{[aliasname].id}

EMPID as {coll.id}

The element of an collection

{[aliasname].element}

XID as {coll.element}

property of the element in the collection

{[aliasname].element.[propertyname]}

NAME as {coll.element.Name}

All properties of the element in the collection

{[aliasname].element.*}

{coll.element.*}

All properties of the the collection

{[aliasname].*}

{coll.*}

 

 

   5.      
   得到non-managed entities

 

处理继承

native sql查询的实体是一个继承结构中的一部分的话,就必须包括进来其基类和子类的属性。

 

   6.      
   参数

Query query = sess.CreateSQLQuery("SELECT * FROM CATS WHERE NAME like ?").AddEntity(typeof(Cat));

IList pusList = query.SetString(0, "Pus%").List();

     

query = sess.createSQLQuery("SELECT * FROM CATS WHERE NAME like :name").AddEntity(typeof(Cat));

IList pusList = query.SetString("name", "Pus%").List();          

 

Named sql queries

 

   1.      
   Scalar query

    

    

    SELECT p.NAME AS name,

           p.AGE AS age,

    FROM PERSON p WHERE p.NAME LIKE 'Hiber%'

 

 

   2.      
   Entity query

    

    SELECT person.NAME AS {person.Name},

           person.AGE AS {person.Age},

           person.SEX AS {person.Sex}

    FROM PERSON person

    WHERE person.NAME LIKE :namePattern

IList people = sess.GetNamedQuery("persons")

    .SetString("namePattern", namePattern)

    .SetMaxResults(50)

    .List();

return的含义:这个查询返回一个alias的实体。

 

 

   3.      
   return-joinload-collection

   
       <return alias="person" class="eg.Person"/>

   
       <return-join alias="address" property="person.MailingAddress"/>

    SELECT person.NAME AS {person.Name},

           person.AGE AS {person.Age},

           person.SEX AS {person.Sex},

           adddress.STREET AS {address.Street},

           adddress.CITY AS {address.City},

           adddress.STATE AS {address.State},

           adddress.ZIP AS {address.Zip}

    FROM PERSON person

    JOIN ADDRESS adddress

        ON person.ID = address.PERSON_ID AND address.TYPE='MAILING'

    WHERE person.NAME LIKE :namePattern

return-joinload-collection都可以参照第一部分中的assocationcollection

 

   4.      
   
   
   利用resultset扩展关于结果集映射(参考上面的returnreturn-join的信息

    

    

 

    SELECT person.NAME AS {person.Name},

           person.AGE AS {person.Age},

           person.SEX AS {person.Sex},

           adddress.STREET AS {address.Street},

           adddress.CITY AS {address.City},

           adddress.STATE AS {address.State},

           adddress.ZIP AS {address.Zip}

    FROM PERSON person

    JOIN ADDRESS adddress

        ON person.ID = address.PERSON_ID AND address.TYPE='MAILING'

    WHERE person.NAME LIKE :namePattern

用程序的方式处理上面的配置信息:

IList cats = sess.CreateSQLQuery(

        "select {cat.*}, {kitten.*} from cats cat, cats kitten where kitten.mother = cat.id"

    )

    .SetResultSetMapping("catAndKitten")

    .List();

 

 

   5.      
   显示指定结果集中的column的显示名字(return-property

    

        

        

        

    

    SELECT person.NAME AS myName,

           person.AGE AS myAge,

           person.SEX AS mySex,

    FROM PERSON person WHERE person.NAME LIKE :name

将多column映射为一个名字

    

        

            

            

        

        

    

        SELECT EMPLOYEE AS {emp.Employee}, EMPLOYER AS {emp.Employer},

        STARTDATE AS {emp.StartDate}, ENDDATE AS {emp.EndDate},

        REGIONCODE as {emp.RegionCode}, EID AS {emp.Id}, VALUE, CURRENCY

        FROM EMPLOYMENT

        WHERE EMPLOYER = :id AND ENDDATE IS NULL

        ORDER BY STARTDATE ASC

 

 

   6.      
   stored procedures

    

        

        

        

        

        

        

        

            

            

        

    

    exec selectAllEmployments

stored procedures的使用有一些限制,如果不遵守,就不能在Hibernate中使用stored procedures,而只能用session.connection()。限制根据db的不同而不同,因为不同的dbstored procedures有差别。

Stored procedure queries can't be paged with setFirstResult()/setMaxResults().

Recommended call form is standard SQL92: { ? = call functionName() } or { ? = call procedureName(}. Native call syntax is not supported.

For Oracle the following rules apply:

·         A function must return a result set. The first parameter of a procedure must be an OUT that returns a result set. This is done by using a SYS_REFCURSOR type in Oracle 9 or 10. In Oracle you need to define a REF CURSOR type, see Oracle literature.

For Sybase or MS SQL server the following rules apply:

·         The procedure must return a result set. Note that since these servers can/will return multiple result sets and update counts, Hibernate will iterate the results and take the first result that is a result set as its return value. Everything else will be discarded.

·         If you can enable SET NOCOUNT ON in your procedure it will probably be more efficient, but this is not a requirement.

Custom sql for create, update ,delete, loading

 

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