Java多線程大批量同步數據（分頁）

背景

最近遇到個功能，兩個月有300w+的數據，之後還在累加，因一開始該數據就全部存儲在mysql表，現需要展示在頁面，還需要關聯另一張表的數據，而且產品要求頁面的查詢條件多達20個條件，最終，這個功能卡的要死，基本查不出來數據。

最後是打算把這兩張表的數據同時存儲到MongoDB中去，以提高查詢效率。

一開始同步的時候，採用單線程，循環以分頁的模式去同步這兩張表數據，結果是…一晚上，只同步了30w數據，特慢！！！

最後，改造了一番，2小時，就成功同步了300w+數據。

以下是主要邏輯。

線程的個數請根據你自己的服務器性能酌情設置。

思路

先通過count查出結果集的總條數，設置每個線程分頁查詢的條數，通過總條數和單次條數得到線程數量，通過改變limit的下標實現分批查詢。

代碼實現

package com.github.admin.controller.loans;

import com.baomidou.mybatisplus.mapper.EntityWrapper;
import com.github.admin.model.entity.CaseCheckCallRecord;
import com.github.admin.model.entity.duyan.DuyanCallRecordDetail;
import com.github.admin.model.entity.loans.CaseCallRemarkRecord;
import com.github.admin.service.duyan.DuyanCallRecordDetailService;
import com.github.admin.service.loans.CaseCallRemarkRecordService;
import com.github.common.constant.MongodbConstant;
import com.github.common.util.DingDingMsgSendUtils;
import com.github.common.util.ListUtils;
import com.github.common.util.Response;
import com.github.common.util.concurrent.Executors;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections.CollectionUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.DisposableBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Criteria;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;

/**
 * 多線程同步歷史數據
 * @author songfayuan
 * @date 2019-09-26 15:38
 */
@Slf4j
@RestController
@RequestMapping("/demo")
public class SynchronizeHistoricalDataController implements DisposableBean {

    private ExecutorService executor = Executors.newFixedThreadPool(10, "SynchronizeHistoricalDataController");  //newFixedThreadPool 創建一個定長線程池，可控制線程最大併發數，超出的線程會在隊列中等待。

    @Value("${spring.profiles.active}")
    private String profile;
    @Autowired
    private DuyanCallRecordDetailService duyanCallRecordDetailService;
    @Autowired
    private MongoTemplate mongoTemplate;
    @Autowired
    private CaseCallRemarkRecordService caseCallRemarkRecordService;

    /**
     * 多線程同步通話記錄歷史數據
     * @param params
     * @return
     * @throws Exception
     */
    @GetMapping("/syncHistoryData")
    public Response syncHistoryData(Map<String, Object> params) throws Exception {
        executor.execute(new Runnable() {
            @Override
            public void run() {
                try {
                    logicHandler(params);
                } catch (Exception e) {
                    log.warn("多線程同步稽查通話記錄歷史數據才處理異常，errMsg = {}", e);
                    DingDingMsgSendUtils.sendDingDingGroupMsg("【系統消息】" + profile + "環境，多線程同步稽查通話記錄歷史數據才處理異常，errMsg = "+e);
                }
            }
        });
        return Response.success("請求成功");
    }

    /**
     * 處理數據邏輯
     * @param params
     * @throws Exception
     */
    private void logicHandler(Map<String, Object> params) throws Exception {
        /******返回結果：多線程處理完的最終數據******/
        List<DuyanCallRecordDetail> result = new ArrayList<>();

        /******查詢數據庫總的數據條數******/
        int count = this.duyanCallRecordDetailService.selectCount(new EntityWrapper<DuyanCallRecordDetail>()
                .eq("is_delete", 0)
                .eq("platform_type", 1));
        DingDingMsgSendUtils.sendDingDingGroupMsg("【系統消息】" + profile + "環境，本次需要同步" + count + "條歷史稽查通話記錄數據。");

//        int count = 2620266;
        /******限制每次查詢的條數******/
        int num = 1000;

        /******計算需要查詢的次數******/
        int times = count / num;
        if (count % num != 0) {
            times = times + 1;
        }

        /******每個線程開始查詢的行數******/
        int offset = 0;

        /******添加任務******/
        List<Callable<List<DuyanCallRecordDetail>>> tasks = new ArrayList<>();
        for (int i = 0; i < times; i++) {
            Callable<List<DuyanCallRecordDetail>> qfe = new ThredQuery(duyanCallRecordDetailService, params, offset, num);
            tasks.add(qfe);
            offset = offset + num;
        }

        /******爲避免太多任務的最終數據全部存在list導致內存溢出，故將任務再次拆分單獨處理******/
        List<List<Callable<List<DuyanCallRecordDetail>>>> smallList = ListUtils.partition(tasks, 10);
        for (List<Callable<List<DuyanCallRecordDetail>>> callableList : smallList) {
            if (CollectionUtils.isNotEmpty(callableList)) {
//                executor.execute(new Runnable() {
//                    @Override
//                    public void run() {
//                        log.info("任務拆分執行開始：線程{}拆分處理開始...", Thread.currentThread().getName());
//
//                        log.info("任務拆分執行結束：線程{}拆分處理開始...", Thread.currentThread().getName());
//                    }
//                });

                try {
                    List<Future<List<DuyanCallRecordDetail>>> futures = executor.invokeAll(callableList);
                    /******處理線程返回結果******/
                    if (futures != null && futures.size() > 0) {
                        for (Future<List<DuyanCallRecordDetail>> future : futures) {
                            List<DuyanCallRecordDetail> duyanCallRecordDetailList = future.get();
                            if (CollectionUtils.isNotEmpty(duyanCallRecordDetailList)){
                                executor.execute(new Runnable() {
                                    @Override
                                    public void run() {
                                        /******異步存儲******/
                                        log.info("異步存儲MongoDB開始：線程{}拆分處理開始...", Thread.currentThread().getName());
                                        saveMongoDB(duyanCallRecordDetailList);
                                        log.info("異步存儲MongoDB結束：線程{}拆分處理開始...", Thread.currentThread().getName());
                                    }
                                });
                            }
                            //result.addAll(future.get());
                        }
                    }
                } catch (Exception e) {
                    log.warn("任務拆分執行異常，errMsg = {}", e);
                    DingDingMsgSendUtils.sendDingDingGroupMsg("【系統消息】" + profile + "環境，任務拆分執行異常，errMsg = "+e);
                }
            }
        }
    }

    /**
     * 數據存儲MongoDB
     * @param duyanCallRecordDetailList
     */
    private void saveMongoDB(List<DuyanCallRecordDetail> duyanCallRecordDetailList) {
        for (DuyanCallRecordDetail duyanCallRecordDetail : duyanCallRecordDetailList) {
            /******重複數據不同步MongoDB******/
            org.springframework.data.mongodb.core.query.Query query = new org.springframework.data.mongodb.core.query.Query();
            query.addCriteria(Criteria.where("callUuid").is(duyanCallRecordDetail.getCallUuid()));
            List<CaseCheckCallRecord> caseCheckCallRecordList = mongoTemplate.find(query, CaseCheckCallRecord.class, MongodbConstant.CASE_CHECK_CALL_RECORD);
            if (CollectionUtils.isNotEmpty(caseCheckCallRecordList)) {
                log.warn("call_uuid = {}在MongoDB已經存在數據，後面數據將被捨棄...", duyanCallRecordDetail.getCallUuid());
                continue;
            }

            /******關聯填寫的記錄******/
            CaseCallRemarkRecord caseCallRemarkRecord = this.caseCallRemarkRecordService.selectOne(new EntityWrapper<CaseCallRemarkRecord>()
                    .eq("is_delete", 0)
                    .eq("call_uuid", duyanCallRecordDetail.getCallUuid()));

            CaseCheckCallRecord caseCheckCallRecord = new CaseCheckCallRecord();
            BeanUtils.copyProperties(duyanCallRecordDetail, caseCheckCallRecord);
            //補充
            caseCheckCallRecord.setCollectorUserId(duyanCallRecordDetail.getUserId());
            
            if (caseCallRemarkRecord != null) {
                //補充
                caseCheckCallRecord.setCalleeName(caseCallRemarkRecord.getContactName());            
            }
            log.info("正在存儲數據到MongoDB：{}", caseCheckCallRecord.toString());
            this.mongoTemplate.save(caseCheckCallRecord, MongodbConstant.CASE_CHECK_CALL_RECORD);
        }
    }

    @Override
    public void destroy() throws Exception {
        executor.shutdown();
    }
}


class ThredQuery implements Callable<List<DuyanCallRecordDetail>> {
    /******需要通過構造方法把對應的業務service傳進來 實際用的時候把類型變爲對應的類型******/
    private DuyanCallRecordDetailService myService;
    /******查詢條件 根據條件來定義該類的屬性******/
    private Map<String, Object> params;

    /******分頁index******/
    private int offset;
    /******數量******/
    private int num;

    public ThredQuery(DuyanCallRecordDetailService myService, Map<String, Object> params, int offset, int num) {
        this.myService = myService;
        this.params = params;
        this.offset = offset;
        this.num = num;
    }

    @Override
    public List<DuyanCallRecordDetail> call() throws Exception {
        /******通過service查詢得到對應結果******/
        List<DuyanCallRecordDetail> duyanCallRecordDetailList = myService.selectList(new EntityWrapper<DuyanCallRecordDetail>()
                .eq("is_delete", 0)
                .eq("platform_type", 1)
                .last("limit "+offset+", "+num));
        return duyanCallRecordDetailList;
    }
}

ListUtils工具

package com.github.common.util;

import com.google.common.collect.Lists;
import lombok.extern.slf4j.Slf4j;

import java.io.*;
import java.util.ArrayList;
import java.util.List;

/**
 * 描述：List工具類
 * @author songfayuan
 * 2018年7月22日下午2:23:22
 */
@Slf4j
public class ListUtils {
	
	/**
	 * 描述：list集合深拷貝
	 * @param src
	 * @return
	 * @throws IOException
	 * @throws ClassNotFoundException
	 * @author songfayuan
	 * 2018年7月22日下午2:35:23
	 */
	public static <T> List<T> deepCopy(List<T> src) {
		try {
			ByteArrayOutputStream byteout = new ByteArrayOutputStream();
			ObjectOutputStream out = new ObjectOutputStream(byteout);
			out.writeObject(src);
			ByteArrayInputStream bytein = new ByteArrayInputStream(byteout.toByteArray());
			ObjectInputStream in = new ObjectInputStream(bytein);
			@SuppressWarnings("unchecked")
			List<T> dest = (List<T>) in.readObject();
			return dest;
		} catch (ClassNotFoundException e) {
			e.printStackTrace();
			return null;
		} catch (IOException e) {
			e.printStackTrace();
			return null;
		}
	}
	/**
	 * 描述：對象深拷貝
	 * @param src
	 * @return
	 * @throws IOException
	 * @throws ClassNotFoundException
	 * @author songfayuan
	 * 2018年12月14日
	 */
	public static <T> T objDeepCopy(T src) {
		try {
			ByteArrayOutputStream byteout = new ByteArrayOutputStream();
			ObjectOutputStream out = new ObjectOutputStream(byteout);
			out.writeObject(src);
			ByteArrayInputStream bytein = new ByteArrayInputStream(byteout.toByteArray());
			ObjectInputStream in = new ObjectInputStream(bytein);
			@SuppressWarnings("unchecked")
			T dest = (T) in.readObject();
			return dest;
		} catch (ClassNotFoundException e) {
			log.error("errMsg = {}", e);
			return null;
		} catch (IOException e) {
			log.error("errMsg = {}", e);
			return null;
		}
	}

	/**
	 * 將一個list均分成n個list,主要通過偏移量來實現的
	 * @author songfayuan
	 * 2018年12月14日
	 */
	public static <T> List<List<T>> averageAssign(List<T> source, int n) {
		List<List<T>> result = new ArrayList<List<T>>();
		int remaider = source.size() % n;  //(先計算出餘數)
		int number = source.size() / n;  //然後是商
		int offset = 0;//偏移量
		for (int i = 0; i < n; i++) {
			List<T> value = null;
			if (remaider > 0) {
				value = source.subList(i * number + offset, (i + 1) * number + offset + 1);
				remaider--;
				offset++;
			} else {
				value = source.subList(i * number + offset, (i + 1) * number + offset);
			}
			result.add(value);
		}
		return result;
	}

	/**
	 * List按指定長度分割
	 * @param list the list to return consecutive sublists of （需要分隔的list）
	 * @param size the desired size of each sublist (the last may be smaller) （分隔的長度）
	 * @author songfayuan
	 * @date 2019-07-07 21:37
	 */
	public static <T> List<List<T>> partition(List<T> list, int size){
		return  Lists.partition(list, size); // 使用guava
	}

	/**
	 * 測試
	 * @param args
	 */
	public static void main(String[] args) {
		List<Integer> bigList = new ArrayList<>();
		for (int i = 0; i < 101; i++){
			bigList.add(i);
		}
		log.info("bigList長度爲：{}", bigList.size());
		log.info("bigList爲：{}", bigList);
		List<List<Integer>> smallists = partition(bigList, 20);
		log.info("smallists長度爲：{}", smallists.size());
		for (List<Integer> smallist : smallists) {
			log.info("拆分結果：{}，長度爲：{}", smallist, smallist.size());
		}
	}

}