C#和Java中执行SQL文件脚本的代码(非常有用)
jopen
11年前
我们在做程序的时候有事后会涉及到利用sql文件 直接执行,可是在sql文件中有很多注释,我们要一句一句的执行首先必须的得把sql文件解析
去除其中的注释,还有把每一句sql语句取出来,然后再利用各个平台中的数据库相关执行它。
接下来放代码!
java版本的
package com.zz; import java.io.*; import java.util.ArrayList; import java.util.Enumeration; import java.util.List; import java.util.Vector; /* * 作者 祝君 * 时间 2014年1月16号 * java执行数据库脚本代码 */ public class SqlHelper { /** * @param args */ public static void main(String[] args) { String path=new String("d:\\zzadmin.sql"); String sql=GetText(path); String[] arr=getsql(sql); for(int i=0;i<arr.length;i++) System.out.println("第"+i+"句:"+arr[i]); } public static String GetText(String path){ File file=new File(path); if(!file.exists()||file.isDirectory()) return null; StringBuffer sb=new StringBuffer(); try { FileInputStream fis = new FileInputStream(path); InputStreamReader isr = new InputStreamReader(fis, "UTF-8"); BufferedReader br = new BufferedReader(isr); String temp=null; temp=br.readLine(); while(temp!=null){ sb.append(temp+"\r\n"); temp=br.readLine(); } } catch (Exception e) { e.printStackTrace(); } return sb.toString(); } /** * 获取sql文件中的sql语句数组 * @param sql * @return 数组 */ public static String[] getsql(String sql) { String s=sql; s=s.replace("\r\n","\r"); s=s.replace("\r", "\n"); String[] ret=new String[1000]; String[] sqlarray=s.split(";\n"); sqlarray=filter(sqlarray); int num=0; for (String item : sqlarray) { String ret_item = ""; String[] querys = item.trim().split("\n"); querys = filter(querys);//去空 for (String query : querys) { String str1 = query.substring(0, 1); String str2 = query.substring(0, 2); if (str1.equals("#") || str2.equals("--") || str2.equals("/*") || str2.equals("//"))//去除注释的关键步奏 { continue; } ret_item += query; } ret[num] = ret_item; num++; } return filter(ret); } /// <summary> /// 去除空值数组 /// </summary> /// <param name="ss">数组</param> /// <returns></returns> public static String[] filter(String[] ss) { List<String> strs = new ArrayList<String>(); for (String s : ss) { if (s != null && !s.equals("")) strs.add(s); } String[] result=new String[strs.size()]; for(int i=0;i<strs.size();i++) { result[i]=strs.get(i).toString(); } return result; } //删除注释 public void deletezs(String fileStr) { try{ Vector<String> vec=new Vector<String>(); String str="",tm="",mm=""; BufferedReader br = new BufferedReader( new FileReader(fileStr)); boolean bol=false; while( null != (str = br.readLine() ) ) { if ((str.indexOf("/*")>=0)&&((bol==false))) { if (str.indexOf("*/")>0) { bol=false; vec.addElement(str.substring(0,str.indexOf("/*"))+str.substring(str.indexOf("*/")+2,str.length())); } else { bol=true; mm=str.substring(0,str.indexOf("/*")); if (!(mm.trim().equals(""))) vec.addElement(mm); } } else if (bol==true) { if (str.indexOf("*/")>=0) { bol=false; mm=str.substring(str.indexOf("*/")+2,str.length()); if (!mm.trim().equals("")) vec.addElement(mm); } } else if (str.indexOf("//")>=0) { tm=str.substring(0,str.indexOf("//")); if (!tm.trim().equals("")) vec.addElement(tm); } else { vec.addElement(str); } } br.close(); File fName=new File(fileStr); FileWriter in=new FileWriter(fName); String ssss=""; Enumeration<String> ew=vec.elements(); while (ew.hasMoreElements()) { ssss= ew.nextElement().toString(); in.write(ssss+"\n"); } in.close(); vec.clear(); }catch(Exception ee){ ee.printStackTrace(); } } }调用GetText就可以返回一个装满了sql语句的数组,循环执行其中的sql语句吧
c#版本的
//-------------------------第一种------------------------------------- /// <summary> /// 获取sql文件中的sql语句数组 第一种方法 /// </summary> /// <param name="sql"></param> /// <returns></returns> public static string[] sql_split(string sql) { string s = sql; Regex reg = new Regex("/TYPE=(InnoDB|MyISAM|MEMORY)( DEFAULT CHARSET=[^; ]+)?/"); reg.Replace(sql, "ENGINE=\\1 DEFAULT CHARSET=utf8"); s = s.Replace('\r', '\n'); string[] ret = new string[10000]; string[] sqlarray = StringSplit(s, ";\n"); int num = 0; foreach (string item in sqlarray) { ret[num] = ""; string[] queries = item.Split('\n'); queries = filter(queries); foreach (string query in queries) { string str1 = query.Substring(0, 1); string str2 = query.Substring(0, 2); if (str1 != "#" && str2 != "--" && str2 != "/*" && str2 != "//")//去除注释的关键步奏 { ret[num] += query; } } num++; } ret = filter(ret); return ret; } /// <summary> /// 去除空值数组 /// </summary> /// <param name="ss"></param> /// <returns></returns> public static string[] filter(string[] ss) { List<string> strs = new List<string>(); foreach (string s in ss) { if (!string.IsNullOrEmpty(s)) strs.Add(s); } string[] result = strs.ToArray(); return result; } /// <summary> /// 将字符串分割成数组 /// </summary> /// <param name="strSource"></param> /// <param name="strSplit"></param> /// <returns></returns> public static string[] StringSplit(string strSource, string strSplit) { string[] strtmp = new string[1]; int index = strSource.IndexOf(strSplit, 0); if (index < 0) { strtmp[0] = strSource; return strtmp; } else { strtmp[0] = strSource.Substring(0, index); return StringSplit(strSource.Substring(index + strSplit.Length), strSplit, strtmp); } } /// <summary> /// 采用递归将字符串分割成数组 /// </summary> /// <param name="strSource"></param> /// <param name="strSplit"></param> /// <param name="attachArray"></param> /// <returns></returns> private static string[] StringSplit(string strSource, string strSplit, string[] attachArray) { string[] strtmp = new string[attachArray.Length + 1]; attachArray.CopyTo(strtmp, 0); int index = strSource.IndexOf(strSplit, 0); if (index < 0) { strtmp[attachArray.Length] = strSource; return strtmp; } else { strtmp[attachArray.Length] = strSource.Substring(0, index); return StringSplit(strSource.Substring(index + strSplit.Length), strSplit, strtmp); } } //----------------------------------------------------- //-----------------------第二种------------------------------ /// <summary> /// 获取sql文件中的sql语句数组 第二种 /// </summary> /// <param name="sql"></param> /// <returns></returns> public string[] getsqls(string sql) { string s = sql; s = s.Replace("\r\n", "\n"); s = s.Replace("\r","\n").Trim(); string[] ret = new string[1000]; string[] sqlarray= StringSplit(s, ";\n"); sqlarray = filter(sqlarray);//去空 int num=0; foreach (string item in sqlarray) { string ret_item = ""; string[] querys = item.Trim().Split('\n'); querys = filter(querys);//去空 foreach (string query in querys) { string str1 = query.Substring(0, 1); string str2 = query.Substring(0, 2); if (str1 == "#" || str2 == "--" || str2 == "/*" || str2 == "//")//去除注释的关键步奏 { continue; } ret_item += query; } ret[num] = ret_item; num++; } return filter(ret); }
c#两个方法对sql文件解析都是一样的