C# 表达式目录树Expression的实现
表达式目录树
表达式目录树:语法树,或者说是一种数据结构
1.表达式目录树expression:system.linq.expressions;
2.描述了多个变量或者和常量之间的关系,按照一定的规则进行组装!
- 可以向委托一样使用lambd表达式快捷声明;
- 不能有语句体,声明只能有一行代码;
- 可以通过compile(),编译成一个委托;
func<int, int, int> func = (m, n) => { int i = 0; return m * n + 2; }; //委托 拉姆达表达式其实是作为委托的一个参数,本质是一个方法(匿名方法) expression<func<int, int, int>> exp = (m, n) => m * n + 2; //数据结构--就像对一个计算做了一个精确的描述,展开之后发现,分为左边,右边,每个元素都可以把值都获取出来,二叉树 var erpplu= exp.compile();//表达式目录树可以通过compile 转换成一个委托 //表达式目录树:语法树,或者说是一种数据结构 int iresult1 = func.invoke(12, 23); int iresult2 = exp.compile().invoke(12, 23);
表达式目录树的拼装
手动拼装表达式目录树,不是用的lambda的快捷方式
//表达式目录树的拼装 expression<func<int>> expression = () => 123 + 234; //两个常量相加-----表达式目录树的快捷声明 expression constant123 = expression.constant(123); expression constant234 = expression.constant(234); expression expressionadd = expression.add(constant123, constant234); var exp = expression.lambda<func<int>>(expressionadd); var func = exp.compile(); int iresult = func.invoke();
expression<func<int, int, int>> exp = (m, n) => m * n + m + n + 2; //快捷声明--其实编译器提供的便捷功能---语法糖--具体实现可通过反编译工具查看 //具体实现可通过反编译工具查看 parameterexpression parameterexpression = expression.parameter(typeof(int), "m"); parameterexpression parameterexpression2 = expression.parameter(typeof(int), "n"); expression expcontant2 = expression.constant(2, typeof(int)); expression multipley = expression.multiply(parameterexpression, parameterexpression2); expression expadd = expression.add(multipley, parameterexpression); expression expadd1 = expression.add(expadd, parameterexpression2); expression expadd2 = expression.add(expadd1, expcontant2); expression<func<int, int, int>> expression = expression.lambda<func<int, int, int>>(expadd2, new parameterexpression[] { parameterexpression, parameterexpression2 }); func<int, int, int> fun = expression.compile(); int iresult = fun.invoke(10, 11);
var peoplequery = new list<people>().asqueryable(); expression<func<people, bool>> lambda = x => x.id.tostring().equals("5"); peoplequery.where(lambda); parameterexpression parameterexpression = expression.parameter(typeof(people), "x"); fieldinfo idfield = typeof(people).getfield("id"); var idexp = expression.field(parameterexpression, idfield); methodinfo tostring = typeof(int).getmethod("tostring", new type[0]); var tostringexp = expression.call(idexp, tostring, array.empty<expression>()); var equals = typeof(string).getmethod("equals", new type[] { typeof(string) }); expression expressionconstant5 = expression.constant("5", typeof(string)); var equalsexp = expression.call(tostringexp, equals, new expression[] { expressionconstant5 }); expression<func<people, bool>> expression = expression.lambda<func<people, bool>>(equalsexp, new parameterexpression[] { parameterexpression }); func<people, bool> func = expression.compile(); var bresult = func.invoke(new people() { id = 5, name = "海贝" }); new list<people>().asqueryable().where(expression);
应用
linq to sql
var dbset = new list<people>().asqueryable();//ef dbset dbset.where(p => p.age == 25 & p.name.contains("阳光下的微笑")); expression<func<people, bool>> exp = null; console.writeline("用户输入个名称,为空就跳过"); string name = console.readline(); if (!string.isnullorwhitespace(name)) { exp = p => p.name.contains(name); } console.writeline("用户输入个最小年纪,为空就跳过"); string age = console.readline(); if (!string.isnullorwhitespace(age) && int.tryparse(age, out int iage)) { exp = p => p.age > iage; }
上面的玩法是不是只有最后一个条件才生效?如果需要多个条件都满足;怎么办? 当然是拼装啊;
拼装可以从最小粒度来组装表达式目录树;如果有一个封装,你把各种条件给我,我从最小粒度开始一个一个的拼装起来,不就是一个长的表达式目录树了吗?
解决方案:
调用方可以组装一个很长的表达式目录树传递过来;
表达式目录树传递过来以后,在这里应该做什么?应该解析;
所有信息都在表达式目录树里面,自然也可以把他解析(找出来)
解析就可以通过expressionvisitor解析----生成对应的sql语句;
expressionvisitor
表达式目录树的访问者----访问者模式;
1.visit方法–访问表达式目录树的入口—分辨是什么类型的表达式目录
2.调度到更加专业的方法中进一步访问,访问一遍之后,生成一个新的表达式目录 —有点像递归,不全是递归;
3.因为表达式目录树是个二叉树,expressionvisitor一直往下访问,一直到叶节点;那就访问了所有的节点;
4.在访问的任何一个环节,都可以拿到对应当前环节的内容(参数名称、参数值。。),就可以进一步扩展;
为什么要使用表达式目录树来拼装解析呢:
1.可以提高重用性;
2.如果封装好一个方法,接受一个表达式目录树,在解析的时候,其实就是不断的访问,访问有规则;
3.任何一个表达式目录树都可以调用当前方法来解析;
4.表达式目录树可以支持泛型;
{ expression<func<people, bool>> lambda = x => x.age > 5 && x.id > 5 && x.name.startswith("1") // like '1%' && x.name.endswith("1") // like '%1' && x.name.contains("1");// like '%1%' //string sql = string.format("delete from [{0}] where [age]>5 and [id] >5" , typeof(people).name , " [age]>5 and [id] >5" ); conditionbuildervisitor vistor = new conditionbuildervisitor(); vistor.visit(lambda); console.writeline(vistor.condition()); } { // ((( [age] > '5') and( [name] = [name] )) or( [id] > '5' )) string name = "aaa"; expression<func<people, bool>> lambda = x => x.age > 5 && x.name == name || x.id > 5; conditionbuildervisitor vistor = new conditionbuildervisitor(); vistor.visit(lambda); console.writeline(vistor.condition()); } { expression<func<people, bool>> lambda = x => x.age > 5 || (x.name == "a" && x.id > 5); conditionbuildervisitor vistor = new conditionbuildervisitor(); vistor.visit(lambda); console.writeline(vistor.condition()); } { expression<func<people, bool>> lambda = x => (x.age > 5 || x.name == "a") && x.id > 5; conditionbuildervisitor vistor = new conditionbuildervisitor(); vistor.visit(lambda); console.writeline(vistor.condition()); }
自己封装的解析器,这就是ef6的底层原理,根据表达式树自动生成相应的sql语句。
public class conditionbuildervisitor : expressionvisitor { private stack<string> _stringstack = new stack<string>(); public string condition() { string condition = string.concat(this._stringstack.toarray()); this._stringstack.clear(); return condition; } /// <summary> /// 如果是二元表达式 /// </summary> /// <param name="node"></param> /// <returns></returns> protected override expression visitbinary(binaryexpression node) { if (node == null) throw new argumentnullexception("binaryexpression"); this._stringstack.push(")"); base.visit(node.right);//解析右边 this._stringstack.push(" " + node.nodetype.tosqloperator() + " "); base.visit(node.left);//解析左边 this._stringstack.push("("); return node; } /// <summary> /// 解析属性 /// </summary> /// <param name="node"></param> /// <returns></returns> protected override expression visitmember(memberexpression node) { if (node == null) throw new argumentnullexception("memberexpression"); //this._stringstack.push(" [" + node.member.name + "] "); return node; if (node.expression is constantexpression) { var value1 = this.invokevalue(node); var value2 = this.reflectionvalue(node); //this.conditionstack.push($"'{value1}'"); this._stringstack.push("'" + value2 + "'"); } else { this._stringstack.push(" [" + node.member.name + "] "); } return node; } private object invokevalue(memberexpression member) { var objexp = expression.convert(member, typeof(object));//struct需要 return expression.lambda<func<object>>(objexp).compile().invoke(); } private object reflectionvalue(memberexpression member) { var obj = (member.expression as constantexpression).value; return (member.member as fieldinfo).getvalue(obj); } /// <summary> /// 常量表达式 /// </summary> /// <param name="node"></param> /// <returns></returns> protected override expression visitconstant(constantexpression node) { if (node == null) throw new argumentnullexception("constantexpression"); this._stringstack.push(" '" + node.value + "' "); return node; } /// <summary> /// 方法表达式 /// </summary> /// <param name="m"></param> /// <returns></returns> protected override expression visitmethodcall(methodcallexpression m) { if (m == null) throw new argumentnullexception("methodcallexpression"); string format; switch (m.method.name) { case "startswith": format = "({0} like {1}+'%')"; break; case "contains": format = "({0} like '%'+{1}+'%')"; break; case "endswith": format = "({0} like '%'+{1})"; break; default: throw new notsupportedexception(m.nodetype + " is not supported!"); } this.visit(m.object); this.visit(m.arguments[0]); string right = this._stringstack.pop(); string left = this._stringstack.pop(); this._stringstack.push(string.format(format, left, right)); return m; } }
internal static class sqloperator { internal static string tosqloperator(this expressiontype type) { switch (type) { case (expressiontype.andalso): case (expressiontype.and): return "and"; case (expressiontype.orelse): case (expressiontype.or): return "or"; case (expressiontype.not): return "not"; case (expressiontype.notequal): return "<>"; case expressiontype.greaterthan: return ">"; case expressiontype.greaterthanorequal: return ">="; case expressiontype.lessthan: return "<"; case expressiontype.lessthanorequal: return "<="; case (expressiontype.equal): return "="; default: throw new exception("不支持该方法"); } } }
表达式目录扩展
表达式目录树动态拼接的实现方式:
/// <summary> /// 合并表达式 and or not扩展 /// </summary> public static class expressionextend { /// <summary> /// 合并表达式 expr1 and expr2 /// </summary> /// <typeparam name="t"></typeparam> /// <param name="expr1"></param> /// <param name="expr2"></param> /// <returns></returns> public static expression<func<t, bool>> and<t>(this expression<func<t, bool>> expr1, expression<func<t, bool>> expr2) { //return expression.lambda<func<t, bool>>(expression.andalso(expr1.body, expr2.body), expr1.parameters); 错误的写法,两个表达式不是同一个参数 //将两个表达式的参数统一为参数c parameterexpression newparameter = expression.parameter(typeof(t), "c"); newexpressionvisitor visitor = new newexpressionvisitor(newparameter); var left = visitor.replace(expr1.body); var right = visitor.replace(expr2.body); //为了能够生成一个新的表达式目录树 var body = expression.and(left, right); return expression.lambda<func<t, bool>>(body, newparameter); } /// <summary> /// 合并表达式 expr1 or expr2 /// </summary> /// <typeparam name="t"></typeparam> /// <param name="expr1"></param> /// <param name="expr2"></param> /// <returns></returns> public static expression<func<t, bool>> or<t>(this expression<func<t, bool>> expr1, expression<func<t, bool>> expr2) { parameterexpression newparameter = expression.parameter(typeof(t), "c"); newexpressionvisitor visitor = new newexpressionvisitor(newparameter); var left = visitor.replace(expr1.body); var right = visitor.replace(expr2.body); var body = expression.or(left, right); return expression.lambda<func<t, bool>>(body, newparameter); } public static expression<func<t, bool>> not<t>(this expression<func<t, bool>> expr) { var candidateexpr = expr.parameters[0]; var body = expression.not(expr.body); return expression.lambda<func<t, bool>>(body, candidateexpr); } }
/// <summary> /// 建立新表达式 /// </summary> internal class newexpressionvisitor : expressionvisitor { public parameterexpression _newparameter { get; private set; } public newexpressionvisitor(parameterexpression param) { this._newparameter = param; } public expression replace(expression exp) { return this.visit(exp); } protected override expression visitparameter(parameterexpression node) { return this._newparameter; } }
调用方如下:
{ expression<func<people, bool>> lambda1 = x => x.age > 5; expression<func<people, bool>> lambda2 = x => x.id > 5; //expression<func<people, bool>> newexpress = x => x.age > 5 && x.id > 5; expression<func<people, bool>> lambda3 = lambda1.and(lambda2); //且 expression<func<people, bool>> lambda4 = lambda1.or(lambda2);//或 expression<func<people, bool>> lambda5 = lambda1.not();//非 do1(lambda3); do1(lambda4); do1(lambda5); } private static void do1(expression<func<people, bool>> func) { list<people> people = new list<people>() { new people(){id=4,name="123",age=4}, new people(){id=5,name="234",age=5}, new people(){id=6,name="345",age=6}, }; list<people> peoplelist = people.where(func.compile()).tolist(); }
对象深拷贝
硬编码
peoplecopy peoplecopy = new peoplecopy() { id = people.id, name = people.name, age = people.age };
通过反射实现
public class reflectionmapper { /// <summary> /// 反射 /// </summary> /// <typeparam name="tin"></typeparam> /// <typeparam name="tout"></typeparam> /// <param name="tin"></param> /// <returns></returns> public static tout trans<tin, tout>(tin tin) { tout tout = activator.createinstance<tout>(); foreach (var itemout in tout.gettype().getproperties()) { var propin = tin.gettype().getproperty(itemout.name); itemout.setvalue(tout, propin.getvalue(tin)); } foreach (var itemout in tout.gettype().getfields()) { var fieldin = tin.gettype().getfield(itemout.name); itemout.setvalue(tout, fieldin.getvalue(tin)); } return tout; } }
通过序列化实现
/// <summary> /// 使用第三方序列化反序列化工具 /// 还有automapper /// </summary> public class serializemapper { /// <summary> /// 序列化反序列化方式 /// </summary> /// <typeparam name="tin"></typeparam> /// <typeparam name="tout"></typeparam> public static tout trans<tin, tout>(tin tin) { return jsonconvert.deserializeobject<tout>(jsonconvert.serializeobject(tin)); } }
反射和序列化两种实现方式性能不太好;
通过表达式目录树实现
通过表达式目录树动态的生成硬编码
func<people, peoplecopy> func = p => new peoplecopy() { id = p.id, name = p.name, age = p.age }; peoplecopy peoplecopy3 = func.invoke(people);
方法一:普通缓存
/// <summary> /// 生成表达式目录树 缓存 /// </summary> public class expressionmapper { /// <summary> /// 字典缓存--hash分布 /// </summary> private static dictionary<string, object> _dic = new dictionary<string, object>(); /// <summary> /// 字典缓存表达式树 /// </summary> /// <typeparam name="tin"></typeparam> /// <typeparam name="tout"></typeparam> /// <param name="tin"></param> /// <returns></returns> public static tout trans<tin, tout>(tin tin) { string key = string.format("funckey_{0}_{1}", typeof(tin).fullname, typeof(tout).fullname); if (!_dic.containskey(key)) { parameterexpression parameterexpression = expression.parameter(typeof(tin), "p"); list<memberbinding> memberbindinglist = new list<memberbinding>(); foreach (var item in typeof(tout).getproperties()) { memberexpression property = expression.property(parameterexpression, typeof(tin).getproperty(item.name)); memberbinding memberbinding = expression.bind(item, property); memberbindinglist.add(memberbinding); } foreach (var item in typeof(tout).getfields()) { memberexpression property = expression.field(parameterexpression, typeof(tin).getfield(item.name)); memberbinding memberbinding = expression.bind(item, property); memberbindinglist.add(memberbinding); } memberinitexpression memberinitexpression = expression.memberinit(expression.new(typeof(tout)), memberbindinglist.toarray()); expression<func<tin, tout>> lambda = expression.lambda<func<tin, tout>>(memberinitexpression, new parameterexpression[] { parameterexpression }); func<tin, tout> func = lambda.compile();//拼装是一次性的 _dic[key] = func; } return ((func<tin, tout>)_dic[key]).invoke(tin); } }
方法二:泛型缓存,性能较高
/// <summary> /// 生成表达式目录树 泛型缓存 /// </summary> /// <typeparam name="tin"></typeparam> /// <typeparam name="tout"></typeparam> public class expressiongenericmapper<tin, tout>//mapper`2 { private static func<tin, tout> _func = null; static expressiongenericmapper() { parameterexpression parameterexpression = expression.parameter(typeof(tin), "p"); list<memberbinding> memberbindinglist = new list<memberbinding>(); foreach (var item in typeof(tout).getproperties()) { memberexpression property = expression.property(parameterexpression, typeof(tin).getproperty(item.name)); memberbinding memberbinding = expression.bind(item, property); memberbindinglist.add(memberbinding); } foreach (var item in typeof(tout).getfields()) { memberexpression property = expression.field(parameterexpression, typeof(tin).getfield(item.name)); memberbinding memberbinding = expression.bind(item, property); memberbindinglist.add(memberbinding); } memberinitexpression memberinitexpression = expression.memberinit(expression.new(typeof(tout)), memberbindinglist.toarray()); expression<func<tin, tout>> lambda = expression.lambda<func<tin, tout>>(memberinitexpression, new parameterexpression[] { parameterexpression }); _func = lambda.compile();//拼装是一次性的 } public static tout trans(tin t) { return _func(t); } }
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