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
随便调用哪一个都可以哈