Spring Data JPA Specification groupBy

时间:2016-04-02 04:42:30

标签: java spring hibernate jpa

对不起我的英语。

我想使用jpa来分组,比如:从数据流组中选择scrip,dustup,count(*),dstip。 所以,写下这些代码:

select
    count(dataflow0_.id) as col_0_0_ 
from
    Dataflow dataflow0_

但是,SQL日志是: 休眠:

select
    dataflow0_.id as id1_2_,
    dataflow0_.byteall as byteall2_2_,
    dataflow0_.bytedn as bytedn3_2_,
    dataflow0_.byteup as byteup4_2_,
    dataflow0_.dstip as dstip5_2_,
    dataflow0_.dstport as dstport6_2_,
    dataflow0_.engieid as engieid7_2_,
    dataflow0_.flag as flag8_2_,
    dataflow0_.netid as netid9_2_,
    dataflow0_.pkgall as pkgall10_2_,
    dataflow0_.pkgdn as pkgdn11_2_,
    dataflow0_.pkgup as pkgup12_2_,
    dataflow0_.protocolid as protoco17_2_,
    dataflow0_.rtt as rtt13_2_,
    dataflow0_.srcip as srcip14_2_,
    dataflow0_.srcport as srcport15_2_,
    dataflow0_.updatetime as updatet16_2_ 
from
    Dataflow dataflow0_ limit ?

休眠:

$result = mysql_query("SELECT $_SESSION FROM users",$db);

那么,如何解决呢?谢谢!

3 个答案:

答案 0 :(得分:0)

规范不支持groupBy。 SimpleJpaRepository通过query.select(root)替换了query.select/multiselect

答案 1 :(得分:0)

您可以通过group by来获得弹簧数据specification,只需遵循
section 2.6section 3.6(2.0之前或之后的版本)。对于单个存储库操作,两个版本具有相同的解决方案。对于* all *存储库解决方案,在2.0之前使用customized factory bean,而在2.0以后则省略该工厂bean操作。

public Map<AlarmMsg.AlarmLevel, Long> testSpecification(String neId) {

    SingularAttribute attribute = AlarmData_.isClear;
    Specification<Object> where = Specification.where(
        (root, query, cb) -> cb.equal(root.get(attribute), false)
    );

    final Map<AlarmMsg.AlarmLevel, Long> result = alarmDataRepository.groupAndCount(AlarmData_.alarmLevel, where );
    return result;
}

存储库:

public interface AlarmDataRepository extends JpaRepository<AlarmData, Long>, JpaSpecificationExecutor<AlarmData>, CustomizedGroupCountRepository {

片段存储库及其实现:

public interface CustomizedGroupCountRepository {
    Map<AlarmMsg.AlarmLevel, Long> groupAndCount(SingularAttribute singularAttribute, Specification where);
}

public class CustomizedGroupCountRepositoryImpl implements CustomizedGroupCountRepository {
    private final EntityManager entityManager;


public CustomizedGroupCountRepositoryImpl(EntityManager entityManager) {
    Assert.notNull(entityManager, "EntityManager must not be null!");
    this.entityManager = entityManager;
}

@Override
public Map<AlarmMsg.AlarmLevel, Long> groupAndCount(SingularAttribute singularAttribute, Specification where) {
    final CriteriaBuilder criteriaBuilder = entityManager.getCriteriaBuilder();
    final CriteriaQuery<Tuple> query = criteriaBuilder.createQuery(Tuple.class);
    final Root<AlarmData> root = query.from(AlarmData.class);
    final Path<AlarmMsg.AlarmLevel> expression = root.get(singularAttribute);
    query.multiselect(expression, criteriaBuilder.count(root));
    query.select(criteriaBuilder.tuple(expression, criteriaBuilder.count(root)));
    query.where(where.toPredicate(root, query, criteriaBuilder));
    query.groupBy(expression);
    final List<Tuple> resultList = entityManager.createQuery(query).getResultList();
    return resultList.stream()
        .collect(toMap(
            t -> t.get(0, AlarmMsg.AlarmLevel.class),
            t -> t.get(1, Long.class))
        );
    }
}

“一库一库”和“一库一库”之间的主要区别在于,在“一库一库”的情况下,它可以访问真实的实体类,如春季的User参考文件。这样一来,您就无需使用泛型类型来引用任何类型的实体,而在所有存储库的情况下,自定义方法的实现将使用泛型,并且其类信息可以(或必须)是从第3.6节所述的注入JpaEntityInformation中获得。

答案 2 :(得分:0)

对于仍然在Spring jpa Specification中寻求如何应用“分组依据”的人们,您可以使用以下代码段:


...
private Dataflow dataflowFilter;

@Override
public Predicate toPredicate(Root<Dataflow> root, CriteriaQuery<?> cq, CriteriaBuilder cb) {
    Predicate predicate = cb.conjunction();
    predicate.getExpressions().add(cb.equal(root.get("id"), dataflowFilter.getId()));
    ...
    cq.groupBy(root.get("id"));
    ...
    return predicate;
}