在常规的信息系统中, 我们有需要动态多条件查询的情况, 例如UI上有多个选择项可供用户选择多条件查询数据.
那么在.net平台Entity Framework下, 我们用Lambda表达式树如何实现, 这里我们需要一个PredicateBuilder的UML类图:
实现的代码是这样的:
///
/// Enables the efficient, dynamic composition of query predicates.
///
public static class PredicateBuilder
{
///
/// Creates a predicate that evaluates to true.
///
public static Expressionbool>> True () { return param => true; }
///
/// Creates a predicate that evaluates to false.
///
public static Expressionbool>> False () { return param => false; }
///
/// Creates a predicate expression from the specified lambda expression.
///
public static Expressionbool>> Create (Expression bool>> predicate) { return predicate; }
///
/// Combines the first predicate with the second using the logical "and".
///
public static Expressionbool>> And (this Expression bool>> first, Expression bool>> second)
{
return first.Compose(second, Expression.AndAlso);
}
///
/// Combines the first predicate with the second using the logical "or".
///
public static Expressionbool>> Or (this Expression bool>> first, Expression bool>> second)
{
return first.Compose(second, Expression.OrElse);
}
///
/// Negates the predicate.
///
public static Expressionbool>> Not (this Expression bool>> expression)
{
var negated = Expression.Not(expression.Body);
return Expression.Lambdabool>>(negated, expression.Parameters);
}
///
/// Combines the first expression with the second using the specified merge function.
///
static ExpressionCompose (this Expression first, Expression second, Func merge)
{
// zip parameters (map from parameters of second to parameters of first)
var map = first.Parameters
.Select((f, i) => new { f, s = second.Parameters[i] })
.ToDictionary(p => p.s, p => p.f);
// replace parameters in the second lambda expression with the parameters in the first
var secondBody = ParameterRebinder.ReplaceParameters(map, second.Body);
// create a merged lambda expression with parameters from the first expression
return Expression.Lambda(merge(first.Body, secondBody), first.Parameters);
}
///
/// ParameterRebinder
///
class ParameterRebinder : ExpressionVisitor
{
///
/// The ParameterExpression map
///
readonly Dictionarymap;
///
/// Initializes a new instance of the class.
///
/// The map.
ParameterRebinder(Dictionarymap)
{
this.map = map ?? new Dictionary();
}
///
/// Replaces the parameters.
///
/// The map.
/// The exp.
/// Expression
public static Expression ReplaceParameters(Dictionarymap, Expression exp)
{
return new ParameterRebinder(map).Visit(exp);
}
///
/// Visits the parameter.
///
/// The p.
/// Expression
protected override Expression VisitParameter(ParameterExpression p)
{
ParameterExpression replacement;
if (map.TryGetValue(p, out replacement))
{
p = replacement;
}
return base.VisitParameter(p);
}
}
}
UnitTest的片断代码, 一个产品查询的场景:
var myProduct=pr.Repository.Find(
BuildFindByAllQuery(productName, beignUpdateDate, endUpdateDate) ,
e => e.UpdatedTime,
pageIndex,
pageSize);
Assert.IsTrue(myProduct.Count>0);
UnitTest使用到 生成查询条件 的 私有方法:
///
/// Builds the find by all query.
///
private static Expressionbool>> BuildFindByAllQuery(string productName,DateTime? beignUpdateDate, DateTime? endUpdateDate)
{
var list = new Listbool>>>();
if (!string.IsNullOrEmpty(productName)) list.Add(c => c.ProductName == productName);
if (beignUpdateDate != null) list.Add(c => c.UpdatedTime >= beignUpdateDate);
if (endUpdateDate != null) list.Add(c => c.UpdatedTime <= endUpdateDate);
//Add more condition
Expressionbool>> productQueryTotal = null;
foreach (var expression in list)
{
productQueryTotal = expression.And(expression);
}
return productQueryTotal;
}
上面的方法中由三个条件动态组成, 一个是匹配productName, 另两个是beginUpdateDate与endUpdateDate. 在判断它们是否为时, 构建最终查询条件集合.
最后把结果传给某个Repository类, 完成相应的数据访问.