我想在我的Spring Boot項目中使用Spring Data Rest,但我遇到了困難。 我正在使用Spring啓動版本2.0.0.M2。我也試過版本1.5.4.RELEASE但得到Spring Boot和Spring Data Rest
我使用以下進口POM我
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
<exclusions>
<exclusion>
<groupId>org.apache.tomcat</groupId>
<artifactId>tomcat-jdbc</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-rest</artifactId>
</dependency>
我的數據庫對象如下
@Entity
@Table(name = "T_PUBLICATION")
public class PublicationDBO implements Serializable{
private static final long serialVersionUID = -8883649751668748295L;
@Id
@Column(name = "id")
private Long id;
@Column(name = "publication_name")
private String publicationName;
@Column(name = "number_of_pages")
private Long numberOfPages;
@Column(name = "storage_key")
private String storageKey;
@Column(name = "processing_complete")
private Boolean processingComplete;
@Column(name = "date_added")
private LocalDateTime dateAdded;
@Column(name = "date_updated")
private LocalDateTime dateUpdated;
}
數據庫SQL同樣的錯誤( MySQL數據庫)
CREATE TABLE `T_PUBLICATION` (
`id` int(11) NOT NULL,
`publication_name` varchar(255) NOT NULL,
`number_of_pages` int(11) NOT NULL,
`storage_key` varchar(255) NOT NULL,
`processing_complete` tinyint(1) NOT NULL,
`date_added` datetime NOT NULL,
`date_updated` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
repository類
import org.springframework.data.repository.PagingAndSortingRepository;
import org.springframework.data.rest.core.annotation.RepositoryRestResource;
import com.dao.vo.PublicationDBO;
@RepositoryRestResource(collectionResourceRel = "publication", path = "publication")
public interface PublicationRepository extends PagingAndSortingRepository<PublicationDBO, Long>{
}
當我試圖進入春季數據端點和這個對象 - 我收到以下錯誤
2017-07-17 16:03:28 [http-nio-8080-exec-1] DEBUG org.hibernate.SQL - select publicatio0_.id as id1_1_0_, publicatio0_.date_added as date_add2_1_0_, publicatio0_.date_updated as date_upd3_1_0_, publicatio0_.number_of_pages as number_o4_1_0_, publicatio0_.processing_complete as processi5_1_0_, publicatio0_.publication_name as publicat6_1_0_, publicatio0_.storage_key as storage_7_1_0_ from T_PUBLICATION publicatio0_ where publicatio0_.id=?
Hibernate: select publicatio0_.id as id1_1_0_, publicatio0_.date_added as date_add2_1_0_, publicatio0_.date_updated as date_upd3_1_0_, publicatio0_.number_of_pages as number_o4_1_0_, publicatio0_.processing_complete as processi5_1_0_, publicatio0_.publication_name as publicat6_1_0_, publicatio0_.storage_key as storage_7_1_0_ from T_PUBLICATION publicatio0_ where publicatio0_.id=?
2017-07-17 16:03:28 [http-nio-8080-exec-1] WARN o.s.w.s.m.s.DefaultHandlerExceptionResolver - Failed to write HTTP message: org.springframework.http.converter.HttpMessageNotWritableException: Could not write JSON: java.lang.String cannot be cast to java.lang.Long; nested exception is com.fasterxml.jackson.databind.JsonMappingException: java.lang.String cannot be cast to java.lang.Long (through reference chain: org.springframework.data.rest.webmvc.json.PersistentEntityJackson2Module$PersistentEntityResourceSerializer$1["content"]->com.dao.vo.PublicationDBO["publicationName"])
2017-07-17 16:03:28 [http-nio-8080-exec-1] WARN o.s.w.s.m.s.DefaultHandlerExceptionResolver - Resolved exception caused by Handler execution: org.springframework.http.converter.HttpMessageNotWritableException: Could not write JSON: java.lang.String cannot be cast to java.lang.Long; nested exception is com.fasterxml.jackson.databind.JsonMappingException: java.lang.String cannot be cast to java.lang.Long (through reference chain: org.springframework.data.rest.webmvc.json.PersistentEntityJackson2Module$PersistentEntityResourceSerializer$1["content"]->com.dao.vo.PublicationDBO["publicationName"])
注:我試圖用一個標準的服務類的JPA要求和他們的工作第一所以實體映射到我的數據庫表是正確的
任何人都可以提供任何協助,爲什麼發生這種情況? 我檢查我的數據庫映射,他們似乎是確定
感謝 達明
'java.lang.String中不能被強制轉換爲的java.lang .Long'您發送的數據不正確。 – EpicPandaForce
是的,但彈簧數據應該照顧這一點。我有一個簡單的數據庫對象相同的設置,它工作正常 – Damien
春天的數據不會照顧你發送一個字符串長字段,反之亦然。 – EpicPandaForce