多线程实现事务回滚

特别说明CountDownLatch

CountDownLatch是一个类springboot自带的类，可以直接用！！！！！，
变量AtomicBoolean 也是可以直接使用

CountDownLatch的用法

CountDownLatch典型用法：1、某一线程在开始运行前等待n个线程执行完毕。将CountDownLatch的计数器初始化为new CountDownLatch(n)，每当一个任务线程执行完毕，就将计数器减1 countdownLatch.countDown()，当计数器的值变为0时，在CountDownLatch上await()的线程就会被唤醒。一个典型应用场景就是启动一个服务时，主线程需要等待多个组件加载完毕，之后再继续执行。

CountDownLatch典型用法：2、实现多个线程开始执行任务的最大并行性。注意是并行性，不是并发，强调的是多个线程在某一时刻同时开始执行。类似于赛跑，将多个线程放到起点，等待发令枪响，然后同时开跑。做法是初始化一个共享的CountDownLatch(1)，将其计算器初始化为1，多个线程在开始执行任务前首先countdownlatch.await()，当主线程调用countDown()时，计数器变为0，多个线程同时被唤醒。

CountDownLatch(num) 简单说明

// new 一个 CountDownLatch(num) 对象
// 建立对象的时候 num 代表的是需要等待 num 个线程

// 建立对象的时候 num 代表的是需要等待 num 个线程
//主线程
CountDownLatch mainThreadLatch = new CountDownLatch(num);
//子线程
CountDownLatch rollBackLatch  = new CountDownLatch(1);

主线程：mainThreadLatch.await() 和mainThreadLatch.countDown()

//新建对象

CountDownLatch mainThreadLatch = new CountDownLatch(num);

//卡住主线程，让其等待子线程,代码mainThreadLatch.await(),放在主线程里

mainThreadLatch.await();

//代码mainThreadLatch.countDown()，放在子线程里，每一个子线程运行一到这个代码，意味着CountDownLatch(num)，里面的num-1（自动减一）

mainThreadLatch.countDown();

//CountDownLatch(num)里面的num减到0，也就是CountDownLatch(0)，被卡住的主线程mainThreadLatch.await()，就会往下执行

子线程：rollBackLatch.await() 和rollBackLatch.countDown()

//新建对象，特别注意：子线程这个num就是1(关于只能为1的解答在后面)

CountDownLatch rollBackLatch  = new CountDownLatch(1);

//卡住子线程，阻止每一个子线程的事务提交和回滚

rollBackLatch.await();

//代码rollBackLatch.countDown()；放在主线程里，而且是放在主线程的等待代码mainThreadLatch.await()；后面。

rollBackLatch.countDown();

为什么所有的子线程会在一瞬间就被所有都释放了？

事务的回滚是怎么结合进去的？

假设总共20个子线程，那么其中一个线程报错了怎么实现所有线程回滚。

引入变量AtomicBoolean rollbackFlag = new AtomicBoolean(false)

和字面意思是一样的：根据 rollbackFlag 的true或者false 判断子线程里面，是否回滚。
首先我们确定的一点：rollbackFlag 是所有的子线程都用着这一个判断

主线程类Entry

package org.apache.dolphinscheduler.api.utils;

import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import org.apache.dolphinscheduler.api.controller.WorkThread;
import org.apache.dolphinscheduler.common.enums.DbType;
import org.springframework.web.bind.annotation.*;

import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.TimeZone;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicBoolean;

/*2021-06-10 wx*/
@RestController
@RequestMapping("importDatabase")
public class Entry {

    /**
     * @param dbid 数据库的id
     * @param tablename 表名
     * @param sftpFileName 文件名称
     * @param head 是否有头文件
     * @param splitSign 分隔符
     * @param type 数据库类型
     */
    private static String SFTP_HOST = "192.168.1.92";
    private static int SFTP_PORT = 22;
    private static String SFTP_USERNAME = "root";
    private static String SFTP_PASSWORD = "rootroot";
    private static String SFTP_BASEPATH = "/opt/testSFTP/";
    @PostMapping("/thread")
    @ResponseBody
    public static JSONObject importDatabase(@RequestParam("dbid") int dbid
            ,@RequestParam("tablename") String tablename
            ,@RequestParam("sftpFileName") String sftpFileName
            ,@RequestParam("head") String head
            ,@RequestParam("splitSign") String splitSign
            ,@RequestParam("type") DbType type
            ,@RequestParam("heads") String heads
            ,@RequestParam("scolumns") String scolumns
            ,@RequestParam("tcolumns") String tcolumns ) throws Exception {
        JSONObject obForRetrun = new JSONObject();

        try {

            JSONArray jsonArray = JSONArray.parseArray(tcolumns);
            JSONArray scolumnArray = JSONArray.parseArray(scolumns);
            JSONArray headsArray = JSONArray.parseArray(heads);
            List<Integer> listInteger = getRrightDataNum(headsArray,scolumnArray);
            JSONArray bodys = SFTPUtils.getSftpContent(SFTP_HOST,SFTP_PORT,SFTP_USERNAME,SFTP_PASSWORD,SFTP_BASEPATH,sftpFileName,head,splitSign);
            int total  = bodys.size();
            int num = 20; //一个批次的数据有多少
            int count = total/num;//周期
            int lastNum =total- count*num;//余数

            List<Thread> list = new ArrayList<Thread>();
            SimpleDateFormat sdf = new SimpleDateFormat("HH:mm:ss:SS");
            TimeZone t = sdf.getTimeZone();
            t.setRawOffset(0);
            sdf.setTimeZone(t);
            Long startTime=System.currentTimeMillis();


            int countForCountDownLatch = 0;
            if(lastNum==0){//整除
                countForCountDownLatch= count;
            }else{
                countForCountDownLatch= count + 1;
            }
            //子线程
            CountDownLatch rollBackLatch  = new CountDownLatch(1);
            //主线程
            CountDownLatch mainThreadLatch = new CountDownLatch(countForCountDownLatch);

            AtomicBoolean rollbackFlag = new AtomicBoolean(false);
            StringBuffer message = new StringBuffer();
            message.append("报错信息：");

            //子线程
            for(int i=0;i<count;i++) {//这里的count代表有几个线程
                Thread g = new Thread(new WorkThread(i,num,tablename,jsonArray,dbid,type,bodys,listInteger,mainThreadLatch,rollBackLatch,rollbackFlag,message ));
                g.start();
                list.add(g);
            }

            if(lastNum!=0){//有小数的情况下
                Thread g = new Thread(new WorkThread(0,lastNum,tablename,jsonArray,dbid,type,bodys,listInteger,mainThreadLatch,rollBackLatch,rollbackFlag,message ));
                g.start();
                list.add(g);
            }

//            for(Thread thread:list){
//                System.out.println(thread.getState());
//                thread.join();//是等待这个线程结束;
//            }

            mainThreadLatch.await();
            //所有等待的子线程全部放开
            rollBackLatch.countDown();

            //是主线程等待子线程的终止。也就是说主线程的代码块中，如果碰到了t.join()方法，此时主线程需要等待（阻塞），等待子线程结束了(Waits for this thread to die.),才能继续执行t.join()之后的代码块。


            Long endTime=System.currentTimeMillis();
            System.out.println("总共用时: "+sdf.format(new Date(endTime-startTime)));

            if(rollbackFlag.get()){
                obForRetrun.put("code",500);
                obForRetrun.put("msg",message);
            }else{
                obForRetrun.put("code",200);
                obForRetrun.put("msg","提交成功！");
            }
            obForRetrun.put("data",null);
        }catch (InterruptedException e){
            e.printStackTrace();
            obForRetrun.put("code",500);
            obForRetrun.put("msg",e.getMessage());
            obForRetrun.put("data",null);
        }
        return obForRetrun;

    }

    /**
     * 文件里第几列被作为导出列
     * @param headsArray
     * @param scolumnArray
     * @return
     */
    public static List<Integer> getRrightDataNum(JSONArray headsArray, JSONArray scolumnArray){
        List<Integer> list = new ArrayList<Integer>();
        String arrayA [] = new String[headsArray.size()];
        for(int i=0;i<headsArray.size();i++){
            JSONObject ob  = (JSONObject)headsArray.get(i);
            arrayA[i] =String.valueOf(ob.get("title"));
        }

        String arrayB [] = new String[scolumnArray.size()];
        for(int i=0;i<scolumnArray.size();i++){
            JSONObject ob  = (JSONObject)scolumnArray.get(i);
            arrayB[i] =String.valueOf(ob.get("columnName"));
        }

        for(int i =0;i<arrayA.length;i++){
            for(int j=0;j<arrayB.length;j++){
                if(arrayA[i].equals(arrayB[j])){
                    list.add(i);
                    break;
                }
            }
        }

        return list;
    }
}

子线程类WorkThread

package org.apache.dolphinscheduler.api.controller;

import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import org.apache.dolphinscheduler.api.service.DataSourceService;
import org.apache.dolphinscheduler.common.enums.DbType;
import org.apache.dolphinscheduler.dao.entity.DataSource;
import org.apache.dolphinscheduler.dao.mapper.DataSourceMapper;
import org.apache.dolphinscheduler.service.bean.SpringApplicationContext;
import org.springframework.transaction.PlatformTransactionManager;

import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.List;
import java.util.TimeZone;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicBoolean;


/**
 * 多线程
 */
public class WorkThread implements Runnable{ //建立线程的两种方法 1 实现Runnable 接口 2 继承 Thread 类

    private DataSourceService dataSourceService;

    private DataSourceMapper dataSourceMapper;

    private Integer begin;
    private Integer end;
    private String tableName;
    private JSONArray columnArray;
    private Integer dbid;
    private DbType type;
    private JSONArray bodys;
    private  List<Integer> listInteger;
    private PlatformTransactionManager transactionManager;
    private CountDownLatch mainThreadLatch;
    private CountDownLatch rollBackLatch;
    private AtomicBoolean rollbackFlag;
    private StringBuffer message;



    /**
     * @param i
     * @param num
     * @param tableFrom
     * @param columnArrayFrom
     * @param dbidFrom
     * @param typeFrom
     */
    public WorkThread(int i, int num, String tableFrom, JSONArray columnArrayFrom, int dbidFrom
            , DbType typeFrom, JSONArray bodysFrom, List<Integer> listIntegerFrom
            ,CountDownLatch mainThreadLatch,CountDownLatch rollBackLatch,AtomicBoolean rollbackFlag
            ,StringBuffer messageFrom) {
        begin=i*num;
        end=begin+num;
        tableName = tableFrom;
        columnArray = columnArrayFrom;
        dbid = dbidFrom;
        type = typeFrom;
        bodys = bodysFrom;
        listInteger = listIntegerFrom;
        this.dataSourceMapper = SpringApplicationContext.getBean(DataSourceMapper.class);
        this.dataSourceService = SpringApplicationContext.getBean(DataSourceService.class);
        this.transactionManager = SpringApplicationContext.getBean(PlatformTransactionManager.class);
        this.mainThreadLatch = mainThreadLatch;
        this.rollBackLatch = rollBackLatch;
        this.rollbackFlag = rollbackFlag;
        this.message = messageFrom;
    }

    public void run() {

        DataSource dataSource = dataSourceMapper.queryDataSourceByID(dbid);
        String cp = dataSource.getConnectionParams();
        Connection con=null;
            con =  dataSourceService.getConnection(type,cp);
        if(con!=null)
        {
            SimpleDateFormat sdf = new SimpleDateFormat("HH:mm:ss:SS");
            TimeZone t = sdf.getTimeZone();
            t.setRawOffset(0);
            sdf.setTimeZone(t);
            Long startTime = System.currentTimeMillis();
            try {
                con.setAutoCommit(false);

//---------------------------- 获取字段和类型
                String columnString = null;//活动的字段
                int intForType = 0;
                String type[] = new String[columnArray.size()];//类型集合
                for(int i=0;i<columnArray.size();i++){
                    JSONObject ob = (JSONObject)columnArray.get(i);
                    if(columnString==null){
                        columnString = String.valueOf(ob.get("name"));
                    }else{
                        columnString = columnString + ","+ String.valueOf(ob.get("name"));
                    }
                    type[intForType] = String.valueOf(ob.get("type"));
                    intForType = intForType + 1;
                }
                intForType = 0;

                //这一步是为了形成 insert into "+tableName+"(id,name，age) values (?,?,?);
                String dataString  = null;
                for(int i=0;i<columnArray.size();i++){
                    if(dataString==null){
                        dataString = "?";
                    }else{
                        dataString = dataString +","+"?";
                    }
                }

//--------------------------------

                StringBuffer sql = new StringBuffer();
                sql = sql.append("insert into "+tableName+"("+columnString+") values ("+dataString+")") ;
                PreparedStatement pst= (PreparedStatement)con.prepareStatement(sql.toString());
                for(int i=begin;i<end;i++) {
                    JSONObject ob = (JSONObject)bodys.get(i);
                    if(ob!=null){
                        String [] array = ob.get(i).toString().split("\\,");
                        String [] arrayFinal = getFinalData(listInteger,array);
                        for(int j=0;j<type.length;j++){
                            String typeString  = type[j].toLowerCase();
                            int z = j+1;
                            if("string".equals(typeString)||"varchar".equals(typeString)){
                                pst.setString(z,arrayFinal[j]);//这里的第一个参数 是指 替换第几个？
                            }else if("int".equals(typeString)||"bigint".equals(typeString)){
                                pst.setInt(z,Integer.valueOf(arrayFinal[j]));//这里的第一个参数 是指 替换第几个？
                            }else if("long".equals(typeString)){
                                pst.setLong(z,Long.valueOf(arrayFinal[j]));//这里的第一个参数 是指 替换第几个？
                            }else if("double".equals(typeString)){
                                pst.setDouble(z,Double.parseDouble(arrayFinal[j]));
                            }else if("date".equals(typeString)||"datetime".equals(typeString)){
                                pst.setDate(z, setDateback(arrayFinal[j]));
                            }else if("Timestamp".equals(typeString)){
                                pst.setTimestamp(z, setTimestampback(arrayFinal[j]));
                            }
                        }
                    }
                    pst.addBatch();
                }
                pst.executeBatch();

                mainThreadLatch.countDown();
                rollBackLatch.await();

                if(rollbackFlag.get()){
                    con.rollback();//表示回滚事务；
                }else{
                    con.commit();//事务提交
                }
                con.close();
            } catch (Exception e) {
                System.out.println(e.getMessage());
                message = message.append(e.getMessage());
                rollbackFlag.set(true);
                mainThreadLatch.countDown();
                try {
                    con.close();
                } catch (SQLException throwables) {
                    throwables.printStackTrace();
                }
            }
            Long endTime = System.currentTimeMillis();
            System.out.println(Thread.currentThread().getName()+":startTime= "+sdf.format(new Date(startTime))+",endTime= "+sdf.format(new Date(endTime))
                    +" 用时："+sdf.format(new Date(endTime - startTime)));

        }
    }


    public java.sql.Date setDateback(String dateString) throws ParseException {
        SimpleDateFormat sdf = new SimpleDateFormat( "yyyy-MM-dd HH:mm:ss" );
        java.util.Date date = sdf.parse( "2015-5-6 10:30:00" );
        long lg = date.getTime();// 日期 转 时间戳
        return new java.sql.Date( lg );
    }

    public java.sql.Timestamp setTimestampback(String dateString) throws ParseException {
        SimpleDateFormat sdf = new SimpleDateFormat( "yyyy-MM-dd HH:mm:ss" );
        java.util.Date date = sdf.parse( "2015-5-6 10:30:00" );
        long lg = date.getTime();// 日期 转 时间戳
        return new java.sql.Timestamp( lg );
    }

    public String [] getFinalData(List<Integer> listInteger,String[] array){
        String [] arrayFinal = new String [listInteger.size()];
        for(int i=0;i<listInteger.size();i++){
            int a = listInteger.get(i);
            arrayFinal[i] = array[a];
        }
        return arrayFinal;
    }
}

代码实际运用踩坑！！！！

还记得这里有个一批次处理多少数据么，我这边设置了20，实际到运用中的时候客户给了个20W的数据，我批次设置为20，那就有1W个子线程！！！！
这还不是最糟糕的，最糟糕的是每个子线程都会创建一个数据库连接，数据库直接被我搞炸了

所以这里需要把：
int num = 20; //一个批次的数据有多少
改成：

int num = 20000; //一个批次的数据有多少