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在项目中使用SQL动态配置的方式可以让后期的维护和发布后的修改变得更加方便，无论使用那种配置方式都离不开解析成最终真正能执行的SQL。
下面代码就是一种比较简单的处理方法，SQL的参数以##括起来。
1.在代码中先建立一个需要解析的SQL，后面需要变成配置方式
/// <summary> /// 暂时用于测试 /// </summary> static string _sql = "SELECT * FROM TB_USER WHERE ID = #ID# AND NAME LIKE ‘%#NAME#%‘";
2.建立一个根据参数KEY去解析的方法，一般情况下都是使用此方法
/// <summary> /// 根据SQL和参数集合解析成需要执行的SQL /// </summary> /// <param name="str"></param> /// <param name="dic"></param> /// <returns></returns> public static string AnalyticalByDic(string str, Dictionary<string, string> dic) { str = str.ToUpper(); foreach (var item in dic) { str = str.Replace(string.Format("#{0}#", item.Key.ToUpper()), item.Value); } return str; }
3.建立一个根据顺序解析的方法，不推荐使用此方法
/// <summary> /// 根据SQL和参数集合解析成需要执行的SQL /// </summary> /// <param name="str"></param> /// <param name="list"></param> /// <returns></returns> public static string AnalyticalByList(string str, List<string> list) { str = str.ToUpper(); List<string> sqlList = new List<string>(); var sqlstr = str; int i = 0; int j = 0; int sum = 0; while (true) { i = str.Substring(sum, str.Length - sum).IndexOf(‘#‘) + 1; sum += i; j = str.Substring(sum, str.Length - sum).IndexOf(‘#‘); if (i < 0 || j < 0) { break; } sqlList.Add(str.Substring(sum, j)); sum += j + 1; } for (int index = 0; index < sqlList.Count && index < list.Count; index++) { str = str.Replace(string.Format("#{0}#", sqlList[index].ToUpper()), list[index]); } return str; }
4.方法建好了，就试一下DEMO看看效果，直接在Main里面调用就好
static void Main(string[] args) { Dictionary<string, string> dic = new Dictionary<string, string>(); dic.Add("ID", "123"); dic.Add("Name", "jimmy.pan"); string sql = _sql; Console.WriteLine(AnalyticalByDic(sql, dic)); List<string> list = new List<string>(); list.Add("456"); list.Add("jimmy"); sql = _sql; Console.WriteLine(AnalyticalByList(sql, list)); Console.Read(); }
5.运行结果如下图
6.整体代码
using System; using System.Collections.Generic; namespace SQLAnalytical { class Program { static void Main(string[] args) { Dictionary<string, string> dic = new Dictionary<string, string>(); dic.Add("ID", "123"); dic.Add("Name", "jimmy.pan"); string sql = _sql; Console.WriteLine(AnalyticalByDic(sql, dic)); List<string> list = new List<string>(); list.Add("456"); list.Add("jimmy"); sql = _sql; Console.WriteLine(AnalyticalByList(sql, list)); Console.Read(); } /// <summary> /// 根据SQL和参数集合解析成需要执行的SQL /// </summary> /// <param name="str"></param> /// <param name="dic"></param> /// <returns></returns> public static string AnalyticalByDic(string str, Dictionary<string, string> dic) { str = str.ToUpper(); foreach (var item in dic) { str = str.Replace(string.Format("#{0}#", item.Key.ToUpper()), item.Value); } return str; } /// <summary> /// 根据SQL和参数集合解析成需要执行的SQL /// </summary> /// <param name="str"></param> /// <param name="list"></param> /// <returns></returns> public static string AnalyticalByList(string str, List<string> list) { str = str.ToUpper(); List<string> sqlList = new List<string>(); var sqlstr = str; int i = 0; int j = 0; int sum = 0; while (true) { i = str.Substring(sum, str.Length - sum).IndexOf(‘#‘) + 1; sum += i; j = str.Substring(sum, str.Length - sum).IndexOf(‘#‘); if (i < 0 || j < 0) { break; } sqlList.Add(str.Substring(sum, j)); sum += j + 1; } for (int index = 0; index < sqlList.Count && index < list.Count; index++) { str = str.Replace(string.Format("#{0}#", sqlList[index].ToUpper()), list[index]); } return str; } /// <summary> /// 暂时用于测试 /// </summary> static string _sql = "SELECT * FROM TB_USER WHERE ID = #ID# AND NAME LIKE ‘%#NAME#%‘"; } }
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原文地址：http://www.cnblogs.com/Jimmy-pan/p/4261815.html
