Java 导出 CSV 文件操作详情
作者:苦糖?
这篇文章主要介绍了Java导出CSV文件操作详情,文章通过导入坐标展开详细内容介绍,具有一定的参考价值,需要的小伙伴可以参考一下
首先第一步 导入坐标:
<dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-csv</artifactId> <version>1.6</version> </dependency>
第二步
引入工具类 说明下 因为这个工具类用到是Listj集合
我就顺带吧 实体类和map 之间的转换也说了
import org.apache.commons.csv.CSVFormat; import org.apache.commons.csv.CSVParser; import org.apache.commons.csv.CSVPrinter; import org.apache.commons.csv.CSVRecord; import org.springframework.http.HttpHeaders; import org.springframework.http.MediaType; import java.io.*; import java.text.SimpleDateFormat; import java.util.ArrayList; import java.util.Date; import java.util.List; import java.util.Map; import java.util.concurrent.CountDownLatch; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; /** * 导出至csv文件 * */ public class CsvUtil { //CSV文件分隔符 private final static String NEW_LINE_SEPARATOR="\n"; /** CSV文件列分隔符 */ private static final String CSV_COLUMN_SEPARATOR = ","; /** CSV文件列分隔符 */ private static final String CSV_RN = "\r\n"; /**写入csv文件 * @param headers 列头 * @param data 数据内容 * @param filePath 创建的csv文件路径 * @throws IOException **/ public static void writeCsvWithHeader(String[] headers, List<Object[]> data, String filePath) { //初始化csvformat CSVFormat format = CSVFormat.DEFAULT.withHeader(headers); try { //根据路径创建文件,并设置编码格式 FileOutputStream fos = new FileOutputStream(filePath); OutputStreamWriter osw = new OutputStreamWriter(fos, "GBK"); //创建CSVPrinter对象 CSVPrinter printer = new CSVPrinter(osw, format); if(null!=data){ //循环写入数据 for(Object[] lineData:data){ printer.printRecord(lineData); } } printer.flush(); printer.close(); } catch (IOException e) { e.printStackTrace(); } } /**写入csv文件 * @param headers 列头 * @param data 数据内容 * @param filePath 创建的csv文件路径 * @throws IOException **/ public static void writeCsvWithRecordSeparator(Object[] headers, List<Object[]> data, String filePath){ //初始化csvformat CSVFormat format = CSVFormat.DEFAULT.withRecordSeparator(NEW_LINE_SEPARATOR); try { //根据路径创建文件,并设置编码格式 FileOutputStream fos = new FileOutputStream(filePath); OutputStreamWriter osw = new OutputStreamWriter(fos, "GBK"); //创建CSVPrinter对象 CSVPrinter printer = new CSVPrinter(osw,format); //写入列头数据 printer.printRecord(headers); if(null!=data){ //循环写入数据 for(Object[] lineData:data){ printer.printRecord(lineData); } } printer.flush(); printer.close(); System.out.println("CSV文件创建成功,文件路径:"+filePath); } catch (IOException e) { e.printStackTrace(); } } /** * @filePath 文件路径 */ public static List<CSVRecord> readCsvParse(String filePath){ List<CSVRecord> records = new ArrayList<>(); try { FileInputStream in = new FileInputStream(filePath); BufferedReader reader = new BufferedReader (new InputStreamReader(in,"GBK")); CSVParser parser = CSVFormat.EXCEL.parse(reader); records = parser.getRecords(); parser.close(); } catch (IOException e) { e.printStackTrace(); }finally { return records; } } /** * 自定义字段 * @filePath 文件路径 */ public static List<CSVRecord> readCsvParseWithHeader(String filePath,String[] headers){ List<CSVRecord> records = new ArrayList<>(); try { FileInputStream in = new FileInputStream(filePath); BufferedReader reader = new BufferedReader (new InputStreamReader(in,"GBK")); CSVParser parser = CSVFormat.EXCEL.withHeader(headers).parse(reader); records = parser.getRecords(); /*for (CSVRecord record : parser.getRecords()) { System.out.println(record.get("id") + "," + record.get("name") + "," + record.get("code")); }*/ parser.close(); }catch (IOException e){ e.printStackTrace(); }finally { return records; } } /** * 导出至多个csv文件 * */ public void writeMuti() throws InterruptedException { ExecutorService executorService = Executors.newFixedThreadPool(3); CountDownLatch doneSignal = new CountDownLatch(2); List<Map<String, String>> recordList = new ArrayList<>(); executorService.submit(new CsvExportThread("E:/0.csv", recordList, doneSignal)); executorService.submit(new CsvExportThread("E:/1.csv", recordList, doneSignal)); doneSignal.await(); System.out.println("Finish!!!"); } /** * @param colNames 表头部数据 * @param dataList 集合数据 * @param mapKeys 查找的对应数据 */ public static ByteArrayOutputStream doExport(String[] colNames, String[] mapKeys, List<Map> dataList) { try { StringBuffer buf = new StringBuffer(); // 完成数据csv文件的封装 // 输出列头 for (int i = 0; i < colNames.length; i++) { buf.append(colNames[i]).append(CSV_COLUMN_SEPARATOR); } buf.append(CSV_RN); if (null != dataList) { // 输出数据 for (int i = 0; i < dataList.size(); i++) { for (int j = 0; j < mapKeys.length; j++) { buf.append(dataList.get(i).get(mapKeys[j])).append(CSV_COLUMN_SEPARATOR); } buf.append(CSV_RN); } } // 写出响应 ByteArrayOutputStream os = new ByteArrayOutputStream(); //OutputStream os = new ByteArrayOutputStream(); os.write(buf.toString().getBytes("GBK")); os.flush(); os.close(); return os; } catch (Exception e) { LogUtils.error("doExport错误...", e); e.printStackTrace(); } return null; } public static HttpHeaders setCsvHeader(String fileName) { HttpHeaders headers = new HttpHeaders(); try { // 设置文件后缀 SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMddHHmmss"); String filename = new String(fileName.getBytes("gbk"), "iso8859-1") + sdf.format(new Date()) + ".csv"; headers.add("Pragma", "public"); headers.add("Cache-Control", "max-age=30"); headers.add("Content-Disposition", "attachment;filename="+filename); headers.setContentType(MediaType.valueOf("application/vnd.ms-excel;charset=UTF-8")); }catch (Exception e){ e.printStackTrace(); } return headers; } }
第三步
controller 层:
package com.example.demo.controller; import com.example.demo.service.DemoService; import com.example.demo.util.CsvUtil; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.http.HttpHeaders; import org.springframework.http.HttpStatus; import org.springframework.http.ResponseEntity; import org.springframework.stereotype.Controller; import org.springframework.web.bind.annotation.RequestMapping; @Controller @RequestMapping("/demo") public class DemoController { @Autowired private DemoService demoService; @RequestMapping("/exportCsv") public ResponseEntity<byte[]> exportCsv(){ //设置excel文件名 String fileName="用户表"; //设置HttpHeaders,设置fileName编码,排除导出文档名称乱码问题 HttpHeaders headers = CsvUtil.setCsvHeader(fileName); byte[] value = null; try { //获取要导出的数据 value = this.demoService.exportCsv(); }catch (Exception e){ e.printStackTrace(); } return new ResponseEntity<byte[]>(value,headers, HttpStatus.OK); } }
第四步:
service 接口
package com.example.demo.service; public interface DemoService { /*导出csv文件*/ byte[] exportCsv(); }
第五步:
service 实现类
package com.example.demo.service.impl; import com.example.demo.pojo.User; import com.example.demo.service.DemoService; import com.example.demo.util.CsvUtil; import org.apache.commons.beanutils.BeanUtils; import org.springframework.stereotype.Service; import java.io.ByteArrayOutputStream; import java.util.ArrayList; import java.util.List; import java.util.Map; @Service public class DemoServiceImpl implements DemoService { @Override public byte[] exportCsv() { byte[] content = null; try { String[] sTitles = new String[]{"名称","年龄","性别"}; String[] mapKeys = new String[]{"name","age","sex"}; List<Map> dataList = new ArrayList<>(); //数据 for (int i = 0; i < 10; i++) { User user = new User("小明" + i, i, "男" + i); Map map = BeanUtils.describe(user); dataList.add(map); } ByteArrayOutputStream os = CsvUtil.doExport(sTitles,mapKeys,dataList); content = os.toByteArray(); }catch (Exception e){ e.printStackTrace(); } return content; } }
补充 :
象和map 互相转换
坐标
<dependency> <groupId>commons-beanutils</groupId> <artifactId>commons-beanutils</artifactId> <version>1.9.3</version> </dependency>
用到的工具类:
BeanUtils
1. bean( 实体类)转Map
例子:
Person person=new Person(); person1.setName("张三"); person1.setSex("不男不女"); Map<String, Object> map=null; map = BeanUtils.describe(person1);
2. map转bean(实体类)
例子: 估计谁没事也不会用map 转bean 可能是我见识短了/**
* Map转换层Bean,使用泛型免去了类型转换的麻烦。 * @param <T> * @param map * @param class1 * @return */ public static <T> T map2Bean(Map<String, String> map, Class<T> class1) { T bean = null; try { bean = class1.newInstance(); BeanUtils.populate(bean, map); } catch (Exception e) { e.printStackTrace(); } return bean; }
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