POI 读取excel大量数据方法

今天在做excel文件上传时，发现数据量超过10万条后，系统会出现内存溢出。
跟踪代码发现程序卡在如下代码这里：

Workbook workbook=WorkbookFactory.create(new File(path));

通过poi的api发现此方法属于能对excel读写，但是内存消耗大，速度较慢。
在poi的官方文档中找到了读取大量数据的方法，但只能读数据，不能进行写操作。
代码整理如下

import java.io.InputStream;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Map.Entry;

import org.apache.poi.openxml4j.opc.OPCPackage;
import org.apache.poi.xssf.eventusermodel.XSSFReader;
import org.apache.poi.xssf.model.SharedStringsTable;
import org.apache.poi.xssf.usermodel.XSSFRichTextString;
import org.junit.Test;
import org.xml.sax.Attributes;
import org.xml.sax.ContentHandler;
import org.xml.sax.InputSource;
import org.xml.sax.SAXException;
import org.xml.sax.XMLReader;
import org.xml.sax.helpers.DefaultHandler;
import org.xml.sax.helpers.XMLReaderFactory;

/**
 * 数据量比较大(8万条以上)的excel文件解析，将excel文件解析为 行列坐标-值的形式存入map中，此方式速度快，内存耗损小 但只能读取excle文件
 * 提供处理单个sheet方法 processOneSheet(String  filename) 以及处理多个sheet方法 processAllSheets(String  filename)
 * 只需传入文件路径+文件名即可  调用处理方法结束后，只需 接收LargeExcelFileReadUtil.getRowContents()返回值即可获得解析后的数据
 *
 */
public class LargeExcelFileReadUtil  {

    private  LinkedHashMaprowContents=new LinkedHashMap(); 
    private  SheetHandler sheetHandler;

public LinkedHashMap getRowContents() {
        return rowContents;
    }
    public void setRowContents(LinkedHashMap rowContents) {
        this.rowContents = rowContents;
    }

    public SheetHandler getSheetHandler() {
        return sheetHandler;
    }
    public void setSheetHandler(SheetHandler sheetHandler) {
        this.sheetHandler = sheetHandler;
    }
    //处理一个sheet
    public void processOneSheet(String filename) throws Exception {
        InputStream sheet2=null;
        OPCPackage pkg =null;
        try {
                pkg = OPCPackage.open(filename);
                XSSFReader r = new XSSFReader(pkg);
                SharedStringsTable sst = r.getSharedStringsTable();
                XMLReader parser = fetchSheetParser(sst);
                sheet2 = r.getSheet("rId1");
                InputSource sheetSource = new InputSource(sheet2);
                parser.parse(sheetSource);
                setRowContents(sheetHandler.getRowContents());
                }catch (Exception e) {
                    e.printStackTrace();
                    throw e;
                    }finally{
                        if(pkg!=null){
                            pkg.close();
                                     }
                        if(sheet2!=null){
                            sheet2.close();
                                        }
                }
    }
//处理多个sheet
    public void processAllSheets(String filename) throws Exception {
        OPCPackage pkg =null;
        InputStream sheet=null;
        try{
                pkg=OPCPackage.open(filename);
                XSSFReader r = new XSSFReader( pkg );
                SharedStringsTable sst = r.getSharedStringsTable();
                XMLReader parser = fetchSheetParser(sst);
                Iterator sheets = r.getSheetsData();
                while(sheets.hasNext()) {
                    System.out.println("Processing new sheet:\n");
                    sheet = sheets.next();
                    InputSource sheetSource = new InputSource(sheet);
                    parser.parse(sheetSource);
                                        }
            }catch (Exception e) {
                    e.printStackTrace();
                    throw e;
                   }finally{
                       if(pkg!=null){
                           pkg.close();
                                 }
                       if(sheet!=null){
                           sheet.close();
                                    }
                            }
    }

    public XMLReader fetchSheetParser(SharedStringsTable sst) throws SAXException {
        XMLReader parser =
            XMLReaderFactory.createXMLReader(
                    "com.sun.org.apache.xerces.internal.parsers.SAXParser"
            );
        setSheetHandler(new SheetHandler(sst));
        ContentHandler handler = (ContentHandler) sheetHandler;
        parser.setContentHandler(handler);
        return parser;
    }

    /** 
     * See org.xml.sax.helpers.DefaultHandler javadocs 
     */
    //测试
    @Test
    public  void test ()throws Exception {
       Long time=System.currentTimeMillis();
        LargeExcelFileReadUtil example = new LargeExcelFileReadUtil();

        example.processOneSheet("C:/Users/Desktop/2018041310024112.xlsx");
        Long endtime=System.currentTimeMillis();
        LinkedHashMap  map=example.getRowContents();
        Iterator> it= map.entrySet().iterator();
        int count=0;
        String prePos="";
        while (it.hasNext()){
            Map.Entry entry=(Map.Entry)it.next();
            String pos=entry.getKey();
            if(!pos.substring(1).equals(prePos)){
                prePos=pos.substring(1);
                count++;
            }
            System.out.println(pos+";"+entry.getValue());
        }
        System.out.println("解析数据"+count+"条;耗时"+(endtime-time)/1000+"秒");
    }
}


/**
SheetHandler  类中处理从excle获取的数据，官方文档中 SheetHandler以内部类形式，为保证更新代码减少内部类class文件忘记打包，改为一般java类
*/
import java.util.LinkedHashMap;

import org.apache.poi.xssf.model.SharedStringsTable;
import org.apache.poi.xssf.usermodel.XSSFRichTextString;
import org.xml.sax.Attributes;
import org.xml.sax.SAXException;
import org.xml.sax.helpers.DefaultHandler;

public class SheetHandler  extends DefaultHandler{

    private SharedStringsTable sst;
    private String lastContents;
    private boolean nextIsString;
    private String  cellPosition;
    private  LinkedHashMaprowContents=new LinkedHashMap(); 

    public LinkedHashMap getRowContents() {
        return rowContents;
    }

    public void setRowContents(LinkedHashMap rowContents) {
        this.rowContents = rowContents;
    }

    public SheetHandler(SharedStringsTable sst) {
        this.sst = sst;
    }

    public void startElement(String uri, String localName, String name,
            Attributes attributes) throws SAXException {
        if(name.equals("c")) {
         //   System.out.print(attributes.getValue("r") + " - ");
            cellPosition=attributes.getValue("r");
            String cellType = attributes.getValue("t");
            if(cellType != null && cellType.equals("s")) {
                nextIsString = true;
            } else {
                nextIsString = false;
            }
        }
        // 清楚缓存内容
        lastContents = "";
    }

    public void endElement(String uri, String localName, String name)
            throws SAXException {
        if(nextIsString) {
            int idx = Integer.parseInt(lastContents);
            lastContents = new XSSFRichTextString(sst.getEntryAt(idx)).toString();
            nextIsString = false;
        }

        if(name.equals("v")) {
//            System.out.println("lastContents:"+cellPosition+";"+lastContents);
            //数据读取结束后，将单元格坐标,内容存入map中
            if(!(cellPosition.length()==2)||(cellPosition.length()==2&&!"1".equals(cellPosition.substring(1)))){//不保存第一行数据
                rowContents.put(cellPosition, lastContents);
            }
        }
    }

    public void characters(char[] ch, int start, int length)
            throws SAXException {
        lastContents += new String(ch, start, length);
    }
}

亲测可用，20多万条数据，4秒解析完，执行结果

poi jar包如下：