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分享我写了一个数据库导出到Excel表格的Java代码，但是导出速度很慢，有没有大神帮看一下
代码如下
import java.io.FileOutputStream;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import org.apache.poi.hssf.usermodel.HSSFCell;
import org.apache.poi.hssf.usermodel.HSSFRow;
import org.apache.poi.hssf.usermodel.HSSFSheet;
import org.apache.poi.hssf.usermodel.HSSFWorkbook;
//将数据库的数据导出到Excel
public class Test {
/*****可修改部分start******/
//导出的表名
public static String tables="demo";
//sql语句
public static String sqls="select top 500 * from (select dh.dh_org_id, dh.dh_carrier_id, dh.chengyunshangdanhao, dh.billid as dhbillid, dh.dh_dispatch_no, dh.dh_truck_license_no, dh_primary_driver, dh.dh_primary_tel, dh.peisongzurenyuan, dh.lianxidianhua, dh.cheliangleixing as dh_cheliangleixing, dh.dh_dispatch_datetime, DH_DEPART_DATETIme, dh.yujiwanchengshijian as dh_yujiwanchengshijian, dh.dh_start_area_id, dh.dh_end_area_id, dh.yunshufangshi_2 as dh_yunshufangshi, dh.yunzuofangshi, dh.DH_TRAILER_LICENSE_NO, dh.status as dhstatus, clh_consign_header_id, clh_logistics_no, clh_logistics_header_id, clh_consign_no, clh_consign_datetime , clh.billid as clhbillid, clh_cargo_load_no, clh.kehuyaoqiuwanchengshijian as clh_kehuyaoqiuwanchengshijian, clh_consigner_id, clh_consigner_no, clh_emergency_degree_id, clh_settle_method_id, clh.kehu as clh_kehu, clh.kehudanhao as clh_kehudanhao, clh_load_address, clh_load_area_id, clh_unload_area_id, CLH_UNLOAD_CONTACT, CLH_UNLOAD_UNIT_NAME, clh_unload_address, clh.tuopanshu as clh_tuopanshu, clh_total_packs, clh_total_cubage, clh_total_gross_weight, clh.zhuyaowuliaoleibie as clh_zhuyaowuliaoleibie, clh.status as clhstatus, clt.cltl_trace_datetime as trace_datetime, clt.cltl_location as location, clt.cltl_speed as speed, convert(varchar(50), CLH_DEPART_DATETIME) + '..到达..' + (select name from cp_area a where a.id = clh_load_area_id) + '..正在....从.' + (select name from cp_area a where a.id = clh_load_area_id) + ' .>>>.' + (select name from cp_area a where a.id = clh_unload_area_id) as trace_remark, 1 as shifoukejian, '在途..CL' as info_flag from tm_dispatch_cargo_load_l dcll inner join tm_dispatch_h dh on dcll.billid = dh.billid right outer join tm_cargo_load_h clh on dcll.dcll_cargo_load_header_id = clh.billid inner join tm_cargo_load_trace_l clt on clh.billid=clt.billid where clh.status = 84 union all select dh.dh_org_id, dh.dh_carrier_id, dh.chengyunshangdanhao, dh.billid as dhbillid, dh.dh_dispatch_no, dh.dh_truck_license_no, dh_primary_driver, dh.dh_primary_tel, dh.peisongzurenyuan, dh.lianxidianhua, dh.cheliangleixing as dh_cheliangleixing, dh.dh_dispatch_datetime, DH_DEPART_DATETIme, dh.yujiwanchengshijian as dh_yujiwanchengshijian, dh.dh_start_area_id, dh.dh_end_area_id, dh.yunshufangshi_2 as dh_yunshufangshi, dh.yunzuofangshi, DH_TRAILER_LICENSE_NO, dh.status as dhstatus, clh_consign_header_id, clh_logistics_no, clh_logistics_header_id, clh_consign_no, clh_consign_datetime , clh.billid as clhbillid, clh_cargo_load_no, clh.kehuyaoqiuwanchengshijian as clh_kehuyaoqiuwanchengshijian, clh_consigner_id, clh_consigner_no, clh_emergency_degree_id, clh_settle_method_id, clh.kehu as clh_kehu, clh.kehudanhao as clh_kehudanhao, clh_load_address, clh_load_area_id, clh_unload_area_id, CLH_UNLOAD_CONTACT, CLH_UNLOAD_UNIT_NAME, clh_unload_address, clh.tuopanshu as clh_tuopanshu, clh_total_packs, clh_total_cubage, clh_total_gross_weight, clh.zhuyaowuliaoleibie as clh_zhuyaowuliaoleibie, clh.status as clhstatus, cls.dtl_trace_datetime , cls.dtl_location, cls.dtl_speed, convert(varchar(50), CLH_DEPART_DATETIME) + '..到达..' + (select name from cp_area a where a.id = clh_load_area_id) + '..正在....从.' + (select name from cp_area a where a.id = clh_load_area_id) + ' .>>>.' + (select name from cp_area a where a.id = clh_unload_area_id) as trace_remark, 1 as shifoukejian, '在途..DH' as info_flag from tm_dispatch_cargo_load_l dcll inner join tm_dispatch_h dh on dcll.billid = dh.billid right outer join tm_cargo_load_h clh on dcll.dcll_cargo_load_header_id = clh.billid inner join tm_dispatch_trace_l cls on dcll.billid=cls.billid where not exists(select * from tm_cargo_load_trace_l a where a.billid = clh.billid) and clh.status = 84 union all select dh.dh_org_id, dh.dh_carrier_id, dh.chengyunshangdanhao, dh.billid as dhbillid, dh.dh_dispatch_no, dh.dh_truck_license_no, dh_primary_driver, dh.dh_primary_tel, dh.peisongzurenyuan, dh.lianxidianhua, dh.cheliangleixing as dh_cheliangleixing, dh.dh_dispatch_datetime, DH_DEPART_DATETIme, dh.yujiwanchengshijian as dh_yujiwanchengshijian, dh.dh_start_area_id, dh.dh_end_area_id, dh.yunshufangshi_2 as dh_yunshufangshi, dh.yunzuofangshi, DH_TRAILER_LICENSE_NO, dh.status as dhstatus, clh_consign_header_id, clh_logistics_no, clh_logistics_header_id, clh_consign_no, clh_consign_datetime , clh.billid as clhbillid, clh_cargo_load_no, clh.kehuyaoqiuwanchengshijian as clh_kehuyaoqiuwanchengshijian, clh_consigner_id, clh_consigner_no, clh_emergency_degree_id, clh_settle_method_id, clh.kehu as clh_kehu, clh.kehudanhao as clh_kehudanhao, clh_load_address, clh_load_area_id, clh_unload_area_id, CLH_UNLOAD_CONTACT, CLH_UNLOAD_UNIT_NAME, clh_unload_address, clh.tuopanshu as clh_tuopanshu, clh_total_packs, clh_total_cubage, clh_total_gross_weight, clh.zhuyaowuliaoleibie as clh_zhuyaowuliaoleibie, clh.status as clhstatus, CLH_DEPART_DATETIME as trace_datetime , '途中...' as location, 0 as speed, convert(varchar(50), CLH_DEPART_DATETIME) + '..到达..' + (select name from cp_area a where a.id = clh_load_area_id) + '..正在....从.' + (select name from cp_area a where a.id = clh_load_area_id) + ' .>>>.' + (select name from cp_area a where a.id = clh_unload_area_id) as trace_remark, 1 as shifoukejian, '在途..AL' as info_flag from tm_dispatch_cargo_load_l dcll inner join tm_dispatch_h dh on dcll.billid = dh.billid right outer join tm_cargo_load_h clh on dcll.dcll_cargo_load_header_id = clh.billid where not exists(select * from tm_cargo_load_trace_l a where a.billid = clh.billid) and not exists(select * from tm_dispatch_trace_l a where a.billid = dcll.billid) and clh.status = 84)a";
//导出表的csv文件保存的地址
public static String outputFile="D:/beiye.xls";
//数据库
public static String url = "jdbc:sqlserver://127.0.0.1;database=boyolsys;";
public static String username = "sa";
public static String password = "111111";
/*****可修改部分 end******/
public static String driver = "com.microsoft.sqlserver.jdbc.SQLServerDriver";
public static Connection con = null;
public static void main(String[] args){
try {
Class.forName(driver);
con = DriverManager.getConnection(url,username,password);
} catch (ClassNotFoundException classE) {
classE.printStackTrace();
} catch (SQLException sqlE) {
sqlE.printStackTrace();
}
outPutTable();
}
/**
* 功能描述：把数据库中的表导出，生成csv文件
* @return
* @ 2016-9-8
*/
public static void outPutTable(){
long a=System.currentTimeMillis();
PreparedStatement ps_struts = null;
ResultSet rs_struts = null;
try{
HSSFWorkbook workbook = new HSSFWorkbook();
String[] tempo ;
int rowNum=1;
try {
ps_struts=con.prepareStatement(sqls);
rs_struts = ps_struts.executeQuery();
ResultSetMetaData rsm = rs_struts.getMetaData();
HSSFSheet sheet = workbook.createSheet(tables);
int columnCount = rsm.getColumnCount();
try{
HSSFRow row1 = sheet.createRow(0);
for (int i = 1; i <=columnCount; i++) {
sheet.autoSizeColumn(i);
String columnName=rsm.getColumnName(i);
HSSFCell cell1 = row1.createCell(i-1);
cell1.setCellValue(columnName);
}
/*FileOutputStream fOut = new FileOutputStream(outputFile);
workbook.write(fOut);
fOut.flush();
fOut.close();*/
}catch(Exception e) {
System.out.println("已运行 outPutTable (): " + e );
}
while(rs_struts.next()){
HSSFRow row = sheet.createRow(rowNum);
tempo = new String[columnCount];
for (int i = 0; i <columnCount; i++) {
HSSFCell cell = row.createCell(i);
sheet.autoSizeColumn(i);
String columnName=rs_struts.getMetaData().getColumnName(i+1);
tempo[i] = rs_struts.getString(columnName);
cell.setCellValue(tempo[i]);
}
tempo = null;
rowNum++;
}
} catch (SQLException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
FileOutputStream fOut = new FileOutputStream(outputFile);
workbook.write(fOut);
fOut.flush();
fOut.close();
}catch(Exception e) {
System.out.println("已运行 outPutTable (): " + e );
}
System.out.println( "-----------------表开始导出完成!-------------------");
System.out.println("耗时："+(System.currentTimeMillis()-a)/1000f+"秒");
}
}
...全文
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bree06 2016-10-08
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主要有两个地方耗时比较长, 一是SQL取数据, 可以单独把SQL拿出来在命令行运行一下用时多少. 另一个就是autoSizeColumn, api描述说数据较大时耗时非常大, 建议在结果的时候调用一次.
我测试了一下65536条数据就算放在最后autoSizeColumn也根本200多秒. 所以就重新修改了一下, 不调用autoSizeColumn, 而是自己记录每一列最大的值, 最后只用计算最大的列值长度是多少即可, (PS. autoSizeColumn会遍历每一列的每行数据取最大的列长度).
数据库50W记录. 本想测50W导出的, 但是excel的一个sheet最大行是65536, 除开title数据只有65535条.
SystemProfileValueSource] for class [cn.colvin.service.TestExportExcel]-----------------表开始导出完成!-------------------
共计65535行数据，耗时：11635毫秒
log信息, 65536条共计11秒左右. 当然还要考虑SQL的耗时, 所以你的耗时应该会更大. excel数据如下差不多120MB
另外测试了一下500条数据基本都不会超过0.5秒
我测试了一下65536条数据就算放在最后autoSizeColumn也根本200多秒. 所以就重新修改了一下, 不调用autoSizeColumn, 而是自己记录每一列最大的值, 最后只用计算最大的列值长度是多少即可, (PS. autoSizeColumn会遍历每一列的每行数据取最大的列长度).
/**
* 功能描述：把数据库中的表导出，生成csv文件
*
* @return
* @ 2016-9-8
*/
public void outPutTable() {
long a = System.currentTimeMillis();
Connection con = null;
PreparedStatement ps_struts = null;
ResultSet rs_struts = null;
int rowNum = 1;
try {
HSSFWorkbook workbook = new HSSFWorkbook();
con = dataSource.getConnection();
ps_struts = con.prepareStatement("select * from t_item limit 65535");
rs_struts = ps_struts.executeQuery();
ResultSetMetaData rsm = rs_struts.getMetaData();
HSSFSheet sheet = workbook.createSheet("sheet1");
int columnCount = rsm.getColumnCount();
int[] cell_size = new int[columnCount];
int[] max_row = new int[columnCount];
HSSFRow row1 = sheet.createRow(0);
for (int i = 1; i <= columnCount; i++) {
String columnName = rsm.getColumnName(i);
cell_size[i-1] = columnName.getBytes().length;
max_row[i-1] = 0;
HSSFCell cell1 = row1.createCell(i - 1);
cell1.setCellValue(columnName);
}
while (rs_struts.next()) {
HSSFRow row = sheet.createRow(rowNum);
for (int i = 0; i < columnCount; i++) {
HSSFCell cell = row.createCell(i);
// 这三句非常耗时间, 尤其是autoSizeColumn不应该在这里调用
// 上面的列是按序取的, 下面的结果按序取就一一对应了没有必要先取name再根据name取值
// sheet.autoSizeColumn(i);
// String columnName=rs_struts.getMetaData().getColumnName(i+1);
// tempo[i] = rs_struts.getString(columnName);
String value = rs_struts.getString(i + 1);
int byte_len = value.getBytes().length;
if (byte_len > cell_size[i]) {
cell_size[i] = byte_len;
max_row[i] = rowNum;
}
cell.setCellValue(value);
}
rowNum++;
}
resize(sheet, max_row);
FileOutputStream fOut = new FileOutputStream("f:/temp/t_item.xls");
workbook.write(fOut);
fOut.flush();
fOut.close();
} catch (Exception e) {
System.out.println("已运行 outPutTable (): " + e);
} finally {
if (rs_struts != null) {
try {
rs_struts.close();
} catch (SQLException e) {
}
}
if (ps_struts != null) {
try {
ps_struts.close();
} catch (SQLException e) {
}
}
if (con != null) {
try {
con.close();
} catch (SQLException e) {
}
}
}
System.out.println("-----------------表开始导出完成!-------------------");
System.out.println("共计" + (rowNum-1) +"行数据，耗时：" + (System.currentTimeMillis() - a) + "毫秒");
}
private static final char defaultChar = '0';
private static final FontRenderContext fontRenderContext = new FontRenderContext(null, true, true);
void resize(Sheet sheet, int[] max_row) {
resize(sheet, false, max_row);
}
void resize(Sheet sheet, boolean useMergedCells, int[] max_row) {
AttributedString str;
TextLayout layout;
Workbook wb = sheet.getWorkbook();
DataFormatter formatter = new DataFormatter();
Font defaultFont = wb.getFontAt((short) 0);
str = new AttributedString(String.valueOf(defaultChar));
copyAttributes(defaultFont, str, 0, 1);
layout = new TextLayout(str.getIterator(), fontRenderContext);
int defaultCharWidth = (int)layout.getAdvance();
for (int i = 0; i < max_row.length; i++) {
Cell cell = sheet.getRow(max_row[i]).getCell(i);
double width = SheetUtil.getCellWidth(cell, defaultCharWidth, formatter, useMergedCells);
if (width != -1) {
width *= 256;
int maxColumnWidth = 255 * 256;
if (width > maxColumnWidth) {
width = maxColumnWidth;
}
}
sheet.setColumnWidth(i, (int) width);
}
}
private static void copyAttributes(Font font, AttributedString str, int startIdx, int endIdx) {
str.addAttribute(TextAttribute.FAMILY, font.getFontName(), startIdx, endIdx);
str.addAttribute(TextAttribute.SIZE, (float)font.getFontHeightInPoints());
if (font.getBoldweight() == Font.BOLDWEIGHT_BOLD) str.addAttribute(TextAttribute.WEIGHT, TextAttribute.WEIGHT_BOLD, startIdx, endIdx);
if (font.getItalic() ) str.addAttribute(TextAttribute.POSTURE, TextAttribute.POSTURE_OBLIQUE, startIdx, endIdx);
if (font.getUnderline() == Font.U_SINGLE ) str.addAttribute(TextAttribute.UNDERLINE, TextAttribute.UNDERLINE_ON, startIdx, endIdx);
}数据库50W记录. 本想测50W导出的, 但是excel的一个sheet最大行是65536, 除开title数据只有65535条.
mysql> select count(1) from t_item;
+----------+
| count(1) |
+----------+
| 500000 |
+----------+
1 row in set (1.50 sec)SystemProfileValueSource] for class [cn.colvin.service.TestExportExcel]-----------------表开始导出完成!-------------------
共计65535行数据，耗时：11635毫秒
log信息, 65536条共计11秒左右. 当然还要考虑SQL的耗时, 所以你的耗时应该会更大. excel数据如下差不多120MB
另外测试了一下500条数据基本都不会超过0.5秒
游一游走一走 2016-10-08
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只能说个方向，你这是SQL过于复杂，SQL查询慢，请把SQL语句直接放在SQL server客户端执行看效果，并不是JAVA的问题
咸鱼斯内克 2016-10-07
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首先排除是否是数据库查询原因，其次在看代码
attilax 2016-10-02
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你先看看是不是查询数据库哪块速度如何，如果可以的话，就是导出代码哪块调整了。。。
个人感觉可能你的查询比较慢。。你先观察哪块性能瓶颈才能根据他做调整。。
如果查询慢，要调整查询，并一次放在内存中。以便后继适应。。
如果导出慢，应该io问题，要调整io性能。
小七和十一的爸爸 2016-09-30
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package cn.com.hime.ImpI;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.Iterator;
import java.util.List;
import cn.com.hime.model.Student;
import jxl.Workbook;
import jxl.write.WritableFont;
import jxl.write.WritableSheet;
import jxl.write.WritableWorkbook;
public class excel {
/**
* @param args
*/
public static void main(String[] args) {
//输出的excel文件工作表名
String[] title = {"编号","姓名","简介"};//excel工作表的标题
//输出的excel文件名
String worksheet = "student";
String targetfile = "c:/out.xls";
List<Student> list=new ArrayList<Student>();
Student st=new Student();
st.setId("1");
st.setNAME("李斯");
st.setDESCRIB("学生");
st.setId("8");
st.setNAME("李斯");
st.setDESCRIB("学生");
Student st1=new Student();
st1.setId("1");
st1.setNAME("李斯1");
st1.setDESCRIB("学生1");
Student st2=new Student();
st2.setId("2");
st2.setNAME("李斯2");
st2.setDESCRIB("学生2");
Student st3=new Student();
st3.setId("3");
st3.setNAME("李斯3");
st3.setDESCRIB("学生3");
Student st7=new Student();
st7.setId("7");
st7.setNAME("李斯7");
st7.setDESCRIB("学生7");
Student st4=new Student();
st4.setId("4");
st4.setNAME("李斯4");
st4.setDESCRIB("学生4");
Student st5=new Student();
st5.setId("5");
st5.setNAME("李斯5");
st5.setDESCRIB("学生5");
Student st6=new Student();
st6.setId("6");
st6.setNAME("李斯6");
st6.setDESCRIB("学生6");
list.add(st);
list.add(st1);
list.add(st2);
list.add(st3);
list.add(st4);
list.add(st5);
list.add(st6);
list.add(st7);
SimpleDateFormat dateFormat=new SimpleDateFormat("yyyy-MM-dd");
System.out.println("时间："+new Date());
System.out.println("时间2："+dateFormat.format(new Date()));
String str="2016-06-26";
try {
System.out.println(dateFormat.parse(str));
} catch (ParseException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
//export(title,worksheet,targetfile,list);
}
public static void export(String [] title,String worksheet,String targetfile,List<Student> list){
WritableWorkbook workbook;
try {
//创建可写入的Excel工作薄,运行生成的文件在tomcat/bin下
//workbook = Workbook.createWorkbook(new File("output.xls"));
System.out.println("begin");
OutputStream os=new FileOutputStream(targetfile);
workbook=Workbook.createWorkbook(os);
WritableSheet sheet = workbook.createSheet(worksheet, 0);
jxl.write.Label label;
int mm=0;
// 跟据head创建表头
for (int i=0; i<title.length; i++){
//Label(列号,行号 ,内容 )
label = new jxl.write.Label(i, 0, title[i]);
sheet.addCell(label);
}
if(list!=null){
// 循环插入数据
int sheetname1=1;//用于自动化创建名字
int record=0;//计算记录
int rownumb=1;
for (int j = 0; j < list.size();j++) {
rownumb++;
if(record%3==0){
rownumb=0;
sheet = workbook.createSheet(worksheet+sheetname1, 0);
// 跟据head创建表头
jxl.write.Label labe_1;
for (int i=0; i<title.length; i++){
//Label(列号,行号 ,内容 )
labe_1 = new jxl.write.Label(i, 0, title[i]);
sheet.addCell(labe_1);
}
sheetname1++;
}
//添加数字
//Iterator it=(Iterator) list.get(mm);
//for(int m=0; m<title.length; m++){
Student bts =(Student) list.get(j);
jxl.write.WritableFont wf = new jxl.write.WritableFont(WritableFont.TIMES,10,WritableFont.BOLD,true);
jxl.write.WritableCellFormat wcfF = new jxl.write.WritableCellFormat(wf);
jxl.write.Label labelCI = new jxl.write.Label(0,rownumb+1,bts.getId(),wcfF);
jxl.write.Label labelCN = new jxl.write.Label(1,rownumb+1,bts.getNAME(),wcfF);
jxl.write.Label labelCD = new jxl.write.Label(2,rownumb+1,bts.getDESCRIB(),wcfF);
sheet.addCell(labelCI);
sheet.addCell(labelCN);
sheet.addCell(labelCD);
//}
record++;
}
}
//添加带有字型Formatting的对象
/* jxl.write.WritableFont wf = new jxl.write.WritableFont(WritableFont.TIMES,10,WritableFont.BOLD,true);
jxl.write.WritableCellFormat wcfF = new jxl.write.WritableCellFormat(wf);
jxl.write.Label labelCF = new jxl.write.Label(4,4,"文本",wcfF);
sheet.addCell(labelCF); */
//添加带有字体颜色,带背景颜色 Formatting的对象
/*jxl.write.WritableFont wfc = new jxl.write.WritableFont(WritableFont.ARIAL,10,WritableFont.BOLD,false,jxl.forma t.UnderlineStyle.NO_UNDERLINE,jxl.format.Colour.RED);
jxl.write.WritableCellFormat wcfFC = new jxl.write.WritableCellFormat(wfc);
wcfFC.setBackground(jxl.format.Colour.BLUE);
jxl.write.Label labelCFC = new jxl.write.Label(1,5,"带颜色",wcfFC);
sheet.addCell(labelCFC); */
//添加带有formatting的Number对象
/*jxl.write.NumberFormat nf = new jxl.write.NumberFormat("#.##");
jxl.write.WritableCellFormat wcfN = new jxl.write.WritableCellFormat(nf);
jxl.write.Number labelNF = new jxl.write.Number(1,1,3.1415926,wcfN);
sheet.addCell(labelNF); */
//3.添加Boolean对象
/*jxl.write.Boolean labelB = new jxl.write.Boolean(0,2,false);
sheet.addCell(labelB); */
//4.添加DateTime对象
/*jxl.write.DateTime labelDT = new jxl.write.DateTime(0,3,new java.util.Date());
sheet.addCell(labelDT); */
//添加带有formatting的DateFormat对象
/*jxl.write.DateFormat df = new jxl.write.DateFormat("ddMMyyyyhh:mm:ss");
jxl.write.WritableCellFormat wcfDF = new jxl.write.WritableCellFormat(df);
jxl.write.DateTime labelDTF = new jxl.write.DateTime(1,3,new java.util.Date(),wcfDF);
sheet.addCell(labelDTF); */
//设置边框
/*jxl.write.WritableCellFormat wcsB = new jxl.write.WritableCellFormat();
wcsB.setBorder(jxl.format.Border.ALL,jxl.format.BorderLineStyle.THICK);
labelCFC = new jxl.write.Label(0,6,"边框设置",wcsB);
sheet.addCell(labelCFC); */
workbook.write();
workbook.close();
}catch(Exception e){
e.printStackTrace();
}
System.out.println("end");
Runtime r=Runtime.getRuntime();
Process p=null;
String cmd[]={"C:\\","out.xls"};
try {
p=r.exec(cmd);
} catch (IOException e) {
// TODO Auto-generated catch block
System.out.println("error executing: "+cmd[0]);
}
}
}
楼主你可以看下这个代码分多个sheet到出数据测试过可以导出30万条数据。 希望可以帮助到
benzhuaitiaowu 2016-09-30
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个人觉得先写一个excel模板，然后再把查出来的数据写入模板中，效率可能会高些。
sky_08_06_02 2016-09-30
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30万数据为什么要自己写程序导出Excel呢，客户要这个功能吗
数据处理用PL/SQL等现成的工具就可以导成Excel
l334175100 2016-09-29
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还有大神吗
l334175100 2016-09-28
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500行用5分钟，不太可能，再慢也不会那么慢，可以看看你的数据库的问题。
另外，30万行，7,80列，不要再用jxl或poi导出了，会疯掉的。
你看看这个文章，具体我也没操作过，希望能帮助你：http://blog.csdn.net/u011728105/article/details/47147225
[/quote]
谢谢，我看看
I,Frankenstein 2016-09-28
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500行用5分钟，不太可能，再慢也不会那么慢，可以看看你的数据库的问题。
另外，30万行，7,80列，不要再用jxl或poi导出了，会疯掉的。
你看看这个文章，具体我也没操作过，希望能帮助你：http://blog.csdn.net/u011728105/article/details/47147225
l334175100 2016-09-28
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非常慢，500行的数据，大概七八十列，导出就要5分钟，但是总数据有30万行。
I,Frankenstein 2016-09-28
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导出的数据量有多大，导出用时是多少，也就是说慢到什么程度？你想达到的速度是多少？描述下！因为jxl导出excel确实速度一般，但是一般的项目够用了。
