你知道Spring Data JPA如何实现多表关联查询吗?通常来说有2种实现方式,下面一起来了解一下吧。
1、利用hibernate级联查询来实现
2、创建一个结果集的接口来接收连表查询后的结果
下面的话来介绍一下第2种方式。
1、一对一映射
实体UserInfo:用户。
实体Address:家庭住址。
通过外键的方式来实现一对一关联(一个实体通过外键关联到另一个实体的主键)
实体类
(1)实体类 UserInfo.java
package com.johnfnash.learn.domain; import java.io.Serializable; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import javax.persistence.Table; @Entity @Table(name = "tb_user") public class UserInfo implements Serializable { private static final long serialVersionUID = 8283950216116626180 L; @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long userId; private String name; private int age; private String sex; private String email; // 与 Address 的关联 private Long addressId; public UserInfo() { super(); } public UserInfo(String name, int age, String sex, String email, Long addressId) { super(); this.name = name; this.age = age; this.sex = sex; this.email = email; this.addressId = addressId; } // getter, setter @Override public String toString() { return String.format("UserInfo [userId=%d, name=%s, age=%s, sex=%s, email=%s]", userId, name, age, sex, email); } }
(2)实体类 Address.java
package com.johnfnash.learn.domain; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import javax.persistence.Table; @Entity @Table(name = "tb_address") public class Address { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long addressId; private String areaCode; private String country; private String province; private String city; private String area; private String detailAddress; public Address() { super(); } public Address(String areaCode, String country, String province, String city, String area , String detailAddress) { super(); this.areaCode = areaCode; this.country = country; this.province = province; this.city = city; this.area = area; this.detailAddress = detailAddress; } // getter, setter @Override public String toString() { return "Address [addressId=" + addressId + ", areaCode=" + areaCode + ", country=" + country + ", province=" + province + ", city=" + city + ", area=" + area + ", detailAddress=" + detailAddress + "]"; } }
Dao层
(1)UserInfoRepository.java
package com.johnfnash.learn.repository; import java.util.List; import org.springframework.data.jpa.repository.JpaRepository; import org.springframework.data.jpa.repository.Query; import com.johnfnash.learn.domain.UserInfo; import com.johnfnash.learn.domain.ViewInfo; public interface UserInfoRepository extends JpaRepository < UserInfo, Long > { @Query(value = "SELECT new com.johnfnash.learn.domain.ViewInfo(u, a) FROM UserInfo u, Address a WHERE u.addressId = a.addressId") public List < ViewInfo > findViewInfo(); }
注:这里的ViewInfo 类用来一个用来接收多表查询结果集的类(使用 new + 完整类名构造函数)
代码:
package com.johnfnash.learn.domain; import java.io.Serializable; public class ViewInfo implements Serializable { private static final long serialVersionUID = -6347911007178390219 L; private UserInfo userInfo; private Address address; public ViewInfo() {} public ViewInfo(UserInfo userInfo) { Address address = new Address(); this.userInfo = userInfo; this.address = address; } public ViewInfo(Address address) { UserInfo userInfo = new UserInfo(); this.userInfo = userInfo; this.address = address; } public ViewInfo(UserInfo userInfo, Address address) { this.userInfo = userInfo; this.address = address; } // getter, setter }
(2)AddressRepository.java
package com.johnfnash.learn.repository; import org.springframework.data.jpa.repository.JpaRepository; import com.johnfnash.learn.domain.Address; public interface AddressRepository extends JpaRepository < Address, Long > {}
测试代码
package com.johnfnash.learn; import java.util.List; import org.junit.After; import org.junit.Before; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.test.context.junit4.SpringRunner; import com.johnfnash.learn.domain.Address; import com.johnfnash.learn.domain.UserInfo; import com.johnfnash.learn.domain.ViewInfo; import com.johnfnash.learn.repository.AddressRepository; import com.johnfnash.learn.repository.UserInfoRepository; @RunWith(SpringRunner.class) @SpringBootTest public class UserInfoRepositoryTests { @Autowired private UserInfoRepository userInfoRepository; @Autowired private AddressRepository addressRepository; @Before public void init() { Address addr1 = new Address("027", "CN", "HuBei", "WuHan", "WuChang", "123 street"); Address addr2 = new Address("023", "CN", "ChongQing", "ChongQing", "YuBei", "123 road"); addressRepository.save(addr1); addressRepository.save(addr2); UserInfo user1 = new UserInfo("ZS", 21, "Male", "123@xx.com", addr1.getAddressId()); UserInfo user2 = new UserInfo("Ww", 25, "Male", "234@xx.com", addr2.getAddressId()); userInfoRepository.save(user1); userInfoRepository.save(user2); } @After public void deleteAll() { userInfoRepository.deleteAll(); addressRepository.deleteAll(); } @Test public void testQuery() { List < ViewInfo > viewInfos = userInfoRepository.findViewInfo(); for (ViewInfo viewInfo: viewInfos) { System.out.println(viewInfo.getUserInfo()); System.out.println(viewInfo.getAddress()); } } }
查询相关的sql :
Hibernate: select userinfo0_.user_id as col_0_0_, address1_.address_id as col_1_0_ from tb_user userinfo0_ cross join tb_address address1_ where userinfo0_.address_id = address1_.address_id Hibernate: select userinfo0_.user_id as user_id1_4_0_, userinfo0_.address_id as address_2_4_0_, userinfo0_.age as age3_4_0_, userinfo0_.email as email4_4_0_, userinfo0_.name as name5_4_0_, userinfo0_.sex as sex6_4_0_ from tb_user userinfo0_ where userinfo0_.user_id = ? Hibernate : select address0_.address_id as address_1_3_0_, address0_.area as area2_3_0_, address0_.area_code as area_cod3_3_0_, address0_.city as city4_3_0_, address0_.country as country5_3_0_, address0_.detail_address as detail_a6_3_0_, address0_.province as province7_3_0_ from tb_address address0_ where address0_.address_id = ? Hibernate : select userinfo0_.user_id as user_id1_4_0_, userinfo0_.address_id as address_2_4_0_, userinfo0_.age as age3_4_0_, userinfo0_.email as email4_4_0_, userinfo0_.name as name5_4_0_, userinfo0_.sex as sex6_4_0_ from tb_user userinfo0_ where userinfo0_.user_id = ? Hibernate : select address0_.address_id as address_1_3_0_, address0_.area as area2_3_0_, address0_.area_code as area_cod3_3_0_, address0_.city as city4_3_0_, address0_.country as country5_3_0_, address0_.detail_address as detail_a6_3_0_, address0_.province as province7_3_0_ from tb_address address0_ where address0_.address_id = ? Hibernate : select userinfo0_.user_id as user_id1_4_, userinfo0_.address_id as address_2_4_, userinfo0_.age as age3_4_, userinfo0_.email as email4_4_, userinfo0_.name as name5_4_, userinfo0_.sex as sex6_4_ from tb_user userinfo0_ Hibernate: select address0_.address_id as address_1_3_, address0_.area as area2_3_, address0_.area_code as area_cod3_3_, address0_.city as city4_3_, address0_.country as country5_3_, address0_.detail_address as detail_a6_3_, address0_.province as province7_3_ from tb_address address0_
查询结果:
UserInfo[userId = 1, name = ZS, age = 21, sex = Male, email = 123 @xx.com] Address[addressId = 1, areaCode = 027, country = CN, province = HuBei, city = WuHan, area = WuChang, detailAddress = 123 street] UserInfo[userId = 2, name = Ww, age = 25, sex = Male, email = 234 @xx.com] Address[addressId = 2, areaCode = 023, country = CN, province = ChongQing, city = ChongQing, area = YuBei, detailAddress = 123 road]
2、多对多映射
实体Author :作者。
实体Book :书籍
这里通过关联表的方式来实现多对多关联。
实体类
实体类:Author.java
package com.johnfnash.learn.domain; import java.io.Serializable; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.Id; @Entity public class Author implements Serializable { private static final long serialVersionUID = 1227555837798655046 L; @Id @GeneratedValue private Integer id; private String name; public Author() { super(); } public Author(String name) { super(); this.name = name; } // getter, setter @Override public String toString() { return String.format("Author [id=%s, name=%s]", id, name); } }
Book.java 实体类
package com.johnfnash.learn.domain; import java.io.Serializable; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.Id; @Entity public class Book implements Serializable { private static final long serialVersionUID = -2470510857424220408 L; @Id @GeneratedValue private Integer id; private String name; public Book() { super(); } public Book(String name) { super(); this.name = name; } //getter, setter @Override public String toString() { return String.format("Book [id=%s, name=%s]", id, name); } }
实体类BookAuthor.java
package com.johnfnash.learn.domain; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.IdClass; import javax.persistence.Table; @Entity @IdClass(BookAuthorPK.class) @Table(name = "book_author") public class BookAuthor { @Id private Integer bookId; @Id private Integer authorId; public BookAuthor() { super(); } public BookAuthor(Integer bookId, Integer authorId) { super(); this.bookId = bookId; this.authorId = authorId; } // getter, setter }
注:这里使用@IdClass注解指定一个联合主键类来映射实体类的多个属性。
联合主键类的代码:
package com.johnfnash.learn.domain; import java.io.Serializable; public class BookAuthorPK implements Serializable { private static final long serialVersionUID = -1158141803682305656 L; private Integer bookId; private Integer authorId; public Integer getBookId() { return bookId; } public void setBookId(Integer bookId) { this.bookId = bookId; } public Integer getAuthorId() { return authorId; } public void setAuthorId(Integer authorId) { this.authorId = authorId; } }
Dao 层
BookRepository.java
package com.johnfnash.learn.repository; import java.util.List; import org.springframework.data.jpa.repository.JpaRepository; import org.springframework.data.jpa.repository.Query; import com.johnfnash.learn.domain.Book; public interface BookRepository extends JpaRepository < Book, Integer > { @Query(nativeQuery = true, value = "SELECT b.id, b.name, GROUP_CONCAT(a.name) as authorName from book b, author a, book_author ba" + " where b.id = ba.book_id and a.id = ba.author_id and b.name like ?1 group by b.id, b.name") List < Object[] > findByNameContaining(String name); }
注:这里使用nativeQuery=true指定使用原生SQL进行查询;这里使用了 mysql 的内置函数 GROUP_CONCAT 进行行转列, HQL 无法直接识别;
注:可能会出现 Caused by: org.hibernate.QueryException: No data type for node: org.hibernate.hql.internal.ast.tree.MethodNode 的错误
JpaRepository.java
package com.johnfnash.learn.repository; import org.springframework.data.jpa.repository.JpaRepository; import com.johnfnash.learn.domain.Author; public interface AuthorRepository extends JpaRepository < Author, Integer > {}
BookAuthorRepository.java
package com.johnfnash.learn.repository; import org.springframework.data.jpa.repository.JpaRepository; import com.johnfnash.learn.domain.BookAuthor; public interface BookAuthorRepository extends JpaRepository < BookAuthor, Integer > {}
测试代码
package com.johnfnash.learn; import static org.junit.Assert.assertEquals; import java.util.List; import org.junit.After; import org.junit.Before; import org.junit.Test; import org.junit.runner.RunWith; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.test.context.junit4.SpringRunner; import com.johnfnash.learn.domain.Author; import com.johnfnash.learn.domain.Book; import com.johnfnash.learn.domain.BookAuthor; import com.johnfnash.learn.repository.AuthorRepository; import com.johnfnash.learn.repository.BookAuthorRepository; import com.johnfnash.learn.repository.BookRepository; @RunWith(SpringRunner.class) @SpringBootTest public class BookRepositoryTests { @Autowired private BookRepository bookRepository; @Autowired private AuthorRepository authorRepository; @Autowired private BookAuthorRepository bookAuthorRepository; @Before public void init() { Author lewis = new Author("Lewis"); Author mark = new Author("Mark"); Author peter = new Author("Peter"); authorRepository.save(lewis); authorRepository.save(mark); authorRepository.save(peter); Book spring = new Book("Spring in Action"); Book springboot = new Book("Spring Boot in Action"); bookRepository.save(spring); bookRepository.save(springboot); bookAuthorRepository.save(new BookAuthor(spring.getId(), lewis.getId())); bookAuthorRepository.save(new BookAuthor(spring.getId(), mark.getId())); bookAuthorRepository.save(new BookAuthor(springboot.getId(), mark.getId())); bookAuthorRepository.save(new BookAuthor(springboot.getId(), peter.getId())); } @After public void deleteAll() { bookAuthorRepository.deleteAll(); bookRepository.deleteAll(); authorRepository.deleteAll(); } @Test public void findAll() { assertEquals(bookRepository.findAll() .size(), 2); assertEquals(authorRepository.findAll() .size(), 3); List < Object[] > books = bookRepository.findByNameContaining("Spring%"); for (Object[] book: books) { for (Object object: book) { System.out.print(object + ", "); } System.out.println(); } } }
执行findAll方法之后,查询的相关SQL如下:
Hibernate: SELECT b.id, b.name, GROUP_CONCAT(a.name) as authorName from book b, author a, book_author ba where b.id = ba.book_id and a.id = ba.author_id and b.name like ? group by b.id, b.name
输出的结果如下:
3652, Spring in Action, Lewis, Mark , 3653, Spring Boot in Action, Mark, Peter,
以上内容源于网络仅供参考。
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