EntityFramework动态多条件查询与Lambda表达式树

时间:2022-05-02 17:45:56

          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:

EntityFramework动态多条件查询与Lambda表达式树

实现的代码是这样的:

   /// <summary>
    /// Enables the efficient, dynamic composition of query predicates.
    /// </summary>
    public static class PredicateBuilder
    {
        /// <summary>
        /// Creates a predicate that evaluates to true.
        /// </summary>
        public static Expression<Func<T, bool>> True<T>() { return param => true; }
 
        /// <summary>
        /// Creates a predicate that evaluates to false.
        /// </summary>
        public static Expression<Func<T, bool>> False<T>() { return param => false; }
 
        /// <summary>
        /// Creates a predicate expression from the specified lambda expression.
        /// </summary>
        public static Expression<Func<T, bool>> Create<T>(Expression<Func<T, bool>> predicate) { return predicate; }
 
        /// <summary>
        /// Combines the first predicate with the second using the logical "and".
        /// </summary>
        public static Expression<Func<T, bool>> And<T>(this Expression<Func<T, bool>> first, Expression<Func<T, bool>> second)
        {
            return first.Compose(second, Expression.AndAlso);
        }
 
        /// <summary>
        /// Combines the first predicate with the second using the logical "or".
        /// </summary>
        public static Expression<Func<T, bool>> Or<T>(this Expression<Func<T, bool>> first, Expression<Func<T, bool>> second)
        {
            return first.Compose(second, Expression.OrElse);
        }
 
        /// <summary>
        /// Negates the predicate.
        /// </summary>
        public static Expression<Func<T, bool>> Not<T>(this Expression<Func<T, bool>> expression)
        {
            var negated = Expression.Not(expression.Body);
            return Expression.Lambda<Func<T, bool>>(negated, expression.Parameters);
        }
 
        /// <summary>
        /// Combines the first expression with the second using the specified merge function.
        /// </summary>
        static Expression<T> Compose<T>(this Expression<T> first, Expression<T> second, Func<Expression, Expression, Expression> 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<T>(merge(first.Body, secondBody), first.Parameters);
        }
 
        /// <summary>
        /// ParameterRebinder
        /// </summary>
        class ParameterRebinder : ExpressionVisitor
        {
            /// <summary>
            /// The ParameterExpression map
            /// </summary>
            readonly Dictionary<ParameterExpression, ParameterExpression> map;
 
            /// <summary>
            /// Initializes a new instance of the <see cref="ParameterRebinder"/> class.
            /// </summary>
            /// <param name="map">The map.</param>
            ParameterRebinder(Dictionary<ParameterExpression, ParameterExpression> map)
            {
                this.map = map ?? new Dictionary<ParameterExpression, ParameterExpression>();
            }
 
            /// <summary>
            /// Replaces the parameters.
            /// </summary>
            /// <param name="map">The map.</param>
            /// <param name="exp">The exp.</param>
            /// <returns>Expression</returns>
            public static Expression ReplaceParameters(Dictionary<ParameterExpression, ParameterExpression> map, Expression exp)
            {
                return new ParameterRebinder(map).Visit(exp);
            }
 
            /// <summary>
            /// Visits the parameter.
            /// </summary>
            /// <param name="p">The p.</param>
            /// <returns>Expression</returns>
            protected override Expression VisitParameter(ParameterExpression p)
            {
                ParameterExpression replacement;
 
                if (map.TryGetValue(p, out replacement))
                {
                    p = replacement;
                }
 
                return base.VisitParameter(p);
            }
        }
    }

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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);

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UnitTest使用到 生成查询条件 的 私有方法:

         /// <summary>
         /// Builds the find by all query.
         /// </summary>
         private static Expression<Func<Product, bool>> BuildFindByAllQuery(string productName,DateTime? beignUpdateDate, DateTime? endUpdateDate)
         {
 
             var list = new List<Expression<Func<Product, bool>>>();
 
             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
             Expression<Func<Product, bool>> productQueryTotal = null;
 
             foreach (var expression in list)
             {
                 productQueryTotal = expression.And(expression);
             }
             return productQueryTotal;
         }

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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.

是不是很简单, 希望对您的软件开发有帮助.

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EntityFramework动态多条件查询与Lambda表达式树

 

作者:Petter Liu

出处:http://www.cnblogs.com/wintersun/

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该文章也同时发布在我的独立博客中-Petter Liu Blog