使用java执行sql脚本的方法
解析sql脚本，删除不必要的注释和空行
将语句按分号拆开

并将最终的语句放入batch里面 最后进行执行

package test;

import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.InputStreamReader;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

/* * 使用java以及jdbc执行sql脚本的工具示例代码 */

public class SqlHelper {
    public  static void main(String[] args){
        String path = "文件地址字符串";
        String sql = getText(path);
        List<String> sqlarr = getSql(sql);
        for(int i=0; i<10; i++){
            System.out.println(i+":"+sqlarr.get(i));
        }
        try{
        SqlHelper.execute(getConn(),sqlarr);
        }catch(Exception e){
            e.printStackTrace();
        }
    }

    private static Connection getConn() {
        String driver = "com.mysql.jdbc.Driver";
        String url = "数据库连接";
        String username = "账号";
        String password = "密码";
        Connection conn = null;
        try {
            Class.forName(driver); //classLoader,加载对应驱动
            conn = (Connection) DriverManager.getConnection(url, username, password);
        } catch (ClassNotFoundException e) {
            e.printStackTrace();
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return conn;
    }
    public static void execute(Connection conn, List<String> sqlFile) throws Exception {  
        Statement stmt = null;  
        stmt = conn.createStatement();  
        for (String sql : sqlFile) {  
            sql = sql.trim();
            if(sql!=null&&!sql.equals(""))
            stmt.addBatch(sql);  
        }  
        int[] rows = stmt.executeBatch();  
        System.out.println("Row count:" + Arrays.toString(rows));  
        conn.close();
    }  



    /* * getText方法吧path路径里面的文件按行读数来放入一个大的String里面去 * 并在换行的时候加入\r\n */
    public static String getText(String path){
        File file = new File(path);
        if(!file.exists()||file.isDirectory()){
            return null;
        }
        StringBuilder sb = new StringBuilder();
        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){
                if(temp.length()>=2){
                    String str1 = temp.substring(0, 1);
                    String str2 = temp.substring(0, 2);
                    if(str1.equals("#")||str2.equals("--")||str2.equals("/*")||str2.equals("//")){
                        temp = br.readLine();
                        continue;
                    }
                    sb.append(temp+"\r\n");
                }

                temp = br.readLine();
            }
            br.close();

        }catch(Exception e){
            e.printStackTrace();
        }
        return sb.toString();
    }
    /* * getSqlArray方法 * 从文件的sql字符串中分析出能够独立执行的sql语句并返回 */
    public static List<String> getSql(String sql){
        String s = sql;
        s = s.replaceAll("\r\n", "\r");
        s = s.replaceAll("\r", "\n");
        List<String> ret = new ArrayList<String>();
        String[] sqlarry = s.split(";");  //用;把所有的语句都分开成一个个单独的句子
        sqlarry = filter(sqlarry);
        ret = Arrays.asList(sqlarry);
        return ret;
    }

    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;
    }


}