spring data jpa 动态查询(工具类封装)

  利用JPA的Specification接口和元模型就实现动态查询了。但是这样每一个需要动态查询的地方都需要写一个这样类似的findByConditions方法,小型项目还好,大型项目中其实会造成人力资源的浪费,进行了大量的重复工作,所以想着对动态查询进行封装,使其使用起来更加方便。

  在开发中,用到动态查询的地方,所有的查询条件包括分页参数,都会被封装成一个查询类XxxQuery,我们封装的思路是创建一个BaseQuery类,在其中实现动态查询的封装,即提供几个模板方法,将查询类的所有属性按照连接规则,拼装成一个Specification型的对象返回,那么问题来了,如何去标识这些字段该用怎样的查询条件连接呢,还要考虑到每个查询类都可以通用,可以用字段注解,来标识字段的查询连接条件。

  创建枚举类MatchType,列出所有的连接条件

package powerx.io;

public enum MatchType {

    equal,        // filed = value
    //下面四个用于Number类型的比较
    gt,   // filed > value
    ge,   // field >= value
    lt,              // field < value
    le,      // field <= value

    notEqual,            // field != value
    like,   // field like value
    notLike,    // field not like value
    // 下面四个用于可比较类型(Comparable)的比较
    greaterThan,        // field > value
    greaterThanOrEqualTo,   // field >= value
    lessThan,               // field < value
    lessThanOrEqualTo   // field <= value
}

  自定义注解,用来标识字段

package powerx.io;

import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.FIELD)
@Documented
public @interface QueryCondition {

    // 数据库中字段名,默认为空字符串,则Query类中的字段要与数据库中字段一致
    String column() default "";

    // equal, like, gt, lt...
    MatchType func() default MatchType.equal;

    // object是否可以为null
    boolean nullable() default false;

    // 字符串是否可为空
    boolean emptyable() default false;

}

  改造查询实体

package powerx.io.bean;

import org.springframework.data.jpa.domain.Specification;

import powerx.io.MatchType;
import powerx.io.QueryCondition;

public class ProductQuery {

    @QueryCondition(func=MatchType.like)
    private String name;
    
    @QueryCondition(func=MatchType.le)
    private Double price;


    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public Double getPrice() {
        return price;
    }

    public void setPrice(Double price) {
        this.price = price;
    }
    
}

  下面是最核心的部分,公共查询实体类,其中在toSpecWithLogicType方法中利用反射机制,将所有的属性按照注解的规则加入到动态查询条件中

package powerx.io.bean;

import java.lang.reflect.Field;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

import javax.persistence.criteria.Path;
import javax.persistence.criteria.Predicate;

import org.springframework.data.domain.PageRequest;
import org.springframework.data.domain.Pageable;
import org.springframework.data.domain.Sort;
import org.springframework.data.jpa.domain.Specification;

import powerx.io.QueryCondition;

public abstract class BaseQuery {

    // start from 0
    protected int pageIndex = 0;
    protected int pageSize = 10;


    /**
     * 将查询转换成Specification
     * @return
     */
    public abstract Specification toSpec();

    //JPA分页查询类
    public Pageable toPageable() {
        return new PageRequest(pageIndex, pageSize);
    }

    //JPA分页查询类,带排序条件
    public Pageable toPageable(Sort sort) {
        return new PageRequest(pageIndex, pageSize, sort);
    }

    //动态查询and连接
    protected Specification toSpecWithAnd() {
        return this.toSpecWithLogicType("and");
    }

    //动态查询or连接
    protected Specification toSpecWithOr() {
        return this.toSpecWithLogicType("or");
    }

    //logicType or/and
    @SuppressWarnings({ "rawtypes", "unchecked" })
    private Specification toSpecWithLogicType(String logicType) {
        BaseQuery outerThis = this;
        return (root, criteriaQuery, cb) -> {
            Class clazz = outerThis.getClass();
            //获取查询类Query的所有字段,包括父类字段
            List fields = getAllFieldsWithRoot(clazz);
            List predicates = new ArrayList<>(fields.size());
            for (Field field : fields) {
                //获取字段上的@QueryWord注解
                QueryCondition qw = field.getAnnotation(QueryCondition.class);
                if (qw == null)
                    continue;

                // 获取字段名
                String column = qw.column();
                //如果主注解上colume为默认值"",则以field为准
                if (column.equals(""))
                    column = field.getName();

                field.setAccessible(true);

                try {

                    // nullable
                    Object value = field.get(outerThis);
                    //如果值为null,注解未标注nullable,跳过
                    if (value == null && !qw.nullable())
                        continue;

                    // can be empty
                    if (value != null && String.class.isAssignableFrom(value.getClass())) {
                        String s = (String) value;
                        //如果值为"",且注解未标注emptyable,跳过
                        if (s.equals("") && !qw.emptyable())
                            continue;
                    }
                    
                    //通过注解上func属性,构建路径表达式
                    Path path = root.get(column);
                    switch (qw.func()) {
                        case equal:
                            predicates.add(cb.equal(path, value));
                            break;
                        case like:
                            predicates.add(cb.like(path, "%" + value + "%"));
                            break;
                        case gt:
                            predicates.add(cb.gt(path, (Number) value));
                            break;
                        case lt:
                            predicates.add(cb.lt(path, (Number) value));
                            break;
                        case ge:
                            predicates.add(cb.ge(path, (Number) value));
                            break;
                        case le:
                            predicates.add(cb.le(path, (Number) value));
                            break;
                        case notEqual:
                            predicates.add(cb.notEqual(path, value));
                            break;
                        case notLike:
                            predicates.add(cb.notLike(path, "%" + value + "%"));
                            break;
                        case greaterThan:
                            predicates.add(cb.greaterThan(path, (Comparable) value));
                            break;
                        case greaterThanOrEqualTo:
                            predicates.add(cb.greaterThanOrEqualTo(path, (Comparable) value));
                            break;
                        case lessThan:
                            predicates.add(cb.lessThan(path, (Comparable) value));
                            break;
                        case lessThanOrEqualTo:
                            predicates.add(cb.lessThanOrEqualTo(path, (Comparable) value));
                            break;
                    }
                } catch (Exception e) {
                    continue;
                }
            }
            Predicate p = null;
            if (logicType == null || logicType.equals("") || logicType.equals("and")) {
                p = cb.and(predicates.toArray(new Predicate[predicates.size()]));//and连接
            } else if (logicType.equals("or")) {
                p = cb.or(predicates.toArray(new Predicate[predicates.size()]));//or连接
            }
            return p;
        };
    }

    //获取类clazz的所有Field,包括其父类的Field
    private List getAllFieldsWithRoot(Class clazz) {
        List fieldList = new ArrayList<>();
        Field[] dFields = clazz.getDeclaredFields();//获取本类所有字段
        if (null != dFields && dFields.length > 0)
            fieldList.addAll(Arrays.asList(dFields));

        // 若父类是Object,则直接返回当前Field列表
        Class superClass = clazz.getSuperclass();
        if (superClass == Object.class) return Arrays.asList(dFields);

        // 递归查询父类的field列表
        List superFields = getAllFieldsWithRoot(superClass);

        if (null != superFields && !superFields.isEmpty()) {
            superFields.stream().
                    filter(field -> !fieldList.contains(field)).//不重复字段
                    forEach(field -> fieldList.add(field));
        }
        return fieldList;
    }

    public int getPageIndex() {
        return pageIndex;
    }

    public void setPageIndex(int pageIndex) {
        this.pageIndex = pageIndex;
    }

    public int getPageSize() {
        return pageSize;
    }

    public void setPageSize(int pageSize) {
        this.pageSize = pageSize;
    }
}

  在BaseQuery里,就通过toSpecWithAnd() toSpecWithOr()方法动态构建出了查询条件。那现在ItemQuery就要继承BaseQuery,并实现toSpec()抽象方法

package powerx.io.bean;

import org.springframework.data.jpa.domain.Specification;

import powerx.io.MatchType;
import powerx.io.QueryCondition;

public class ProductQuery extends BaseQuery{

    @QueryCondition(func=MatchType.like)
    private String name;
    
    @QueryCondition(func=MatchType.le)
    private Double price;


    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public Double getPrice() {
        return price;
    }

    public void setPrice(Double price) {
        this.price = price;
    }

    @Override
    public Specification toSpec() {
        
        return super.toSpecWithAnd();
    }
    
    
}

  当然肯定还有其他不能在BaseQuery中构建的查询条件,比如说查询价格在某个区间的情况,那就在子类的toSpec()实现中添加

@Override
    public Specification toSpec() {
        
        Specification spec = super.toSpecWithAnd();
        return ((root, criteriaQuery, criteriaBuilder) -> {
            List predicatesList = new ArrayList<>();
            predicatesList.add(spec.toPredicate(root, criteriaQuery, criteriaBuilder));
            if (priceMin != null) {
                predicatesList.add(
                        criteriaBuilder.and(
                                criteriaBuilder.ge(
                                        root.get(Product_.price), priceMin)));
            }
            if (priceMax != null) {
                predicatesList.add(
                        criteriaBuilder.and(
                                criteriaBuilder.le(
                                        root.get(Product_.price), priceMax)));
            }
           return criteriaBuilder.and(predicatesList.toArray(new Predicate[predicatesList.size()]));
        });
    }

  调用代码

public Page findByConditions3(String name, Double price) {
        ProductQuery pq = new ProductQuery();
        pq.setName(name);
        pq.setPrice(price);
        return productDao.findAll(pq.toSpec(), pq.toPageable());
    }

  响应如下:

  现在这个BaseQueryQuertWord就可以在各个动态查询处使用了,只需在查询字段上标注@QueryWord注解。然后实现BaseQuery中的抽象方法toSpec(),通过JpaSpecificationExecutor接口中的这几个方法,就可以实现动态查询了。

转载于:https://www.cnblogs.com/hhhshct/p/9476542.html

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