Question

在我的JSF数据表中，我实现了延迟加载，当我对记录进行分页时，执行下一组记录需要大约4或5秒的时间，实际上执行结果需要不到一秒的时间。

这种情况发生在我实施它的方式，不知道我怎么能解决这个问题。

扩展LazyDataModel

的DataModel类

@Override
public List<Request> load(int startingAt, int maxPerPage, String sortField,
                          SortOrder sortOrder, Map<String, String> filters)
{
    requestList = requestService.getRequest(startingAt, maxPerPage,
                                            sortField, sortOrder, filters);
    this.setRowCount(requestList.size());
    if (requestList.size() > maxPerPage)
    {
        System.out.println("executing");
        return requestList.subList(startingAt, startingAt + maxPerPage);
    }
    else
    {
        System.out.println("executing else ");
        return requestList;
    }

    return requestList;
}

和dao class

@Override
public List<Request> getRequest(int startingAt, int maxPerPage,
                                String sortField, SortOrder sortOrder, Map<String, String> filters)
{
    Criteria criteria = sessionFactory.getCurrentSession().createCriteria(
                            Request.class);
    criteria.addOrder(Order.desc("requestNo"));
    for (Map.Entry<String, String> entry : filters.entrySet())
    {
        if (entry.getValue() != null)
        {
            criteria.add(Restrictions.ilike("requestNo",
                                            "%" + entry.getValue() + "%"));
        }
    }
    //criteria.setMaxResults(maxPerPage);
    //criteria.setFirstResult(startingAt);
    return criteria.list();
}

有人可以解释一下导致这些记录分页延迟的原因吗？

如果我删除以下

if (requestList.size() > maxPerPage)
{
    System.out.println("executing");
    return requestList.subList(startingAt, startingAt + maxPerPage);
}
else
{
    System.out.println("executing else ");
    return requestList;
}

并执行，然后它会毫无延迟地执行，但问题是this.setRowCount(requestList.size());总是5，这是我每页的默认记录数。

更新2

@Override
    public List<Request> load(int startingAt, int maxPerPage, String sortField,
            SortOrder sortOrder, Map<String, String> filters) {
        requestList = requestService.getRequest(startingAt, maxPerPage,
                sortField, sortOrder, filters);
        this.setRowCount(requestService.getRequestCount());
        if (requestService.getRequestCount() > maxPerPage) {
            try {

                return requestList.subList(startingAt, startingAt + maxPerPage);
            } catch (IndexOutOfBoundsException e) {
                //e.printStackTrace();
                return requestList.subList(startingAt, startingAt
                        + (requestService.getRequestCount() % maxPerPage));
            }
        } else {
            return requestList;
        }       
    }

使用不同的查询来获取结果集的计数，使用以下

@Override
    public int count() {
        int count = ((Long) sessionFactory.getCurrentSession()
                .createQuery("select count(*) from Request").uniqueResult())
                .intValue();
        System.out.println(" count size " + count);
        return count;
    }

和我的道歉

@Override
        public List<Request> getRequest(int startingAt, int maxPerPage,
                String sortField, SortOrder sortOrder, Map<String, String> filters) {
            Criteria criteria = sessionFactory.getCurrentSession().createCriteria(
                    Request.class);
            criteria.addOrder(Order.desc("requestNo"));
            for (Map.Entry<String, String> entry : filters.entrySet()) {
                if (entry.getValue() != null) {
                    criteria.add(Restrictions.ilike("requestNo",
                            "%" + entry.getValue() + "%"));         }
            }
             criteria.setMaxResults(maxPerPage);
             criteria.setFirstResult(startingAt);       
                return criteria.list(); 

        }

Answer 1

如果结果列表非常大，则Java端计数和子列表操作可能对内存使用造成危险，因此也会对性能方面造成危险。< / p>

相反，我通常采用以下方法：使用2个查询，一个用于计算过滤的resultSet（我让db进行计数），另一个用于检索分页的resultSet（I让db提取子列表）。即使是包含数百万行的表格，我也从未经历过显着的延迟。

遵循排序和过滤的具体示例。所有代码都使用JPA标准（没有Hibernate或Spring自定义功能）CriteriaQuery方法在这种情况下特别适用。

MyBean类

@ManagedBean
@ViewScoped
public class MyBean {
    @EJB
    private MyObjFacade myObjFacade;
    private LazyDataModel<MyObjType> model;        // getter and setter

    @PostConstruct
    public void init() {
        model = new LazyDataModel<MyObjType> () {

            @Override
            public List<MyObjType> load(int first, int pageSize, String sortField, SortOrder sortOrder, Map<String, String> filters) {
                model.setRowCount(myObjFacade.count(filters));
                return myObjFacade.getResultList(first, pageSize, sortField, sortOrder, filters);
            }
        };
        model.setRowCount(myObjFacade.count(new HashMap<String, String> ()));
    }
}

MyObjFacade类

@Stateless
public class MyObjFacade {
    @PersistenceContext
    private EntityManager em;
    @EJB
    private MyObjFacade myObjFacade;

    private Predicate getFilterCondition(CriteriaBuilder cb, Root<MyObjType> myObj, Map<String, String> filters) {
        Predicate filterCondition = cb.conjunction();
        String wildCard = "%";
        for (Map.Entry<String, String> filter : filters.entrySet()) {
            String value = wildCard + filter.getValue() + wildCard;
            if (!filter.getValue().equals("")) {
                javax.persistence.criteria.Path<String> path = myObj.get(filter.getKey());
                filterCondition = cb.and(filterCondition, cb.like(path, value));
            }
        }
        return filterCondition;
    }

    public int count(Map<String, String> filters) {
        CriteriaBuilder cb = getEntityManager().getCriteriaBuilder();
        CriteriaQuery<Long> cq = cb.createQuery(Long.class);
        Root<MyObjType> myObj = cq.from(MyObjType.class);
        cq.where(myObjFacade.getFilterCondition(cb, myObj, filters));
        cq.select(cb.count(myObj));
        return em.createQuery(cq).getSingleResult().intValue();
    }

    public List<MyObjType> getResultList(int first, int pageSize, String sortField, SortOrder sortOrder, Map<String, String> filters) {
        CriteriaBuilder cb = getEntityManager().getCriteriaBuilder();
        CriteriaQuery<MyObjType> cq = cb.createQuery(MyObjType.class);
        Root<MyObjType> myObj = cq.from(MyObjType.class);
        cq.where(myObjFacade.getFilterCondition(cb, myObj, filters));
        if (sortField != null) {
            if (sortOrder == SortOrder.ASCENDING) {
                cq.orderBy(cb.asc(myObj.get(sortField)));
            } else if (sortOrder == SortOrder.DESCENDING) {
                cq.orderBy(cb.desc(myObj.get(sortField)));
            }
        }
        return em.createQuery(cq).setFirstResult(first).setMaxResults(pageSize).getResultList();
    }
}

Answer 2

我不确定这是否与此相关，但是加入@ perissf的观察，我会关注以下内容：

if (entry.getValue() != null)
{
    criteria.add(Restrictions.ilike("requestNo",
                                    "%" + entry.getValue() + "%"));
}

为此，将解析为类似于

的查询

WHERE UPPER(request_no) LIKE '%VALUE%'

这将是全表扫描，因为request_no上的索引无法在此实例中使用，这对于具有大量行的表来说非常慢，原因有两个：

UPPER(request_no)需要功能索引。
like '%anything'都必须查看request_no的每个值。

如何使用延迟加载和分页查询Primefaces dataTable的数据

2 个答案: