Java導出CSV文件的方法
本文實例為大傢分享瞭Java導出CSV文件的具體代碼,供大傢參考,具體內容如下
Java導出csv文件:
控制層:
@Controller @RequestMapping("/historyReport/") public class HistoryStockReportController { private static final Logger LOGGER = LoggerFactory.getLogger(HistoryStockReportController.class); @Autowired private HistoryStockReportService historyStockReportService; /** * 下載歷史庫存報表 * @param request * @param response */ @RequestMapping("new/downLoadHistoryStockInfo.htm") @ResponseBody public ResultMsg<Map<String, Object>> downLoadHistoryStockInfo(HttpServletRequest request, HttpServletResponse response) { String reportName = "PP視頻_歷史庫存效果概況數據_" + DateUtils.getCurrentDateStr("yyyyMMddHHmmss"); String[] header = Constant.PP_INDEX_DETAIL_HEAD_NAME_LIST; try { //點位/終端 String pointLocation = request.getParameter(Constant.POINT_LOCATION_CODE); //廣告位 String positionScreenType = request.getParameter(Constant.POSITION_SCREEN_TYPE_CODE); String startDate = request.getParameter(Constant.START_DATE); String endDate = request.getParameter(Constant.END_DATE); // 判斷接口參數 if (!DateUtils.isDate(startDate) || !DateUtils.isDate(endDate)) { return ResultMsg.buildErrorMsg(Constant.DATE_ERROR_MSG); } //封裝查詢參數 Map<String, Object> condition = new HashMap<>(); condition.put(Constant.POINT_LOCATION_CODE, pointLocation); condition.put(Constant.POSITION_SCREEN_TYPE_CODE, positionScreenType); condition.put(Constant.START_DATE, startDate); condition.put(Constant.END_DATE, endDate); //導出csv exportBatch(response, condition, header, reportName); } catch (Exception e) { LOGGER.error("導出" + reportName + "發生錯誤:", e); } return null; } /** * 導出報表 * @param response * @param header * @param fileName * @throws IOException */ private void exportBatch(HttpServletResponse response, Map<String, Object> condition, String[] header, String fileName) throws IOException { response.setContentType("application/vnd.ms-excel;charset=GBK"); response.setHeader("Content-Disposition", "attachment;filename=" + new String((fileName).getBytes("GBK"), "ISO8859-1") + "." + "csv"); StringBuilder sb = new StringBuilder(); for (String s : header) { sb.append(s); } sb.append("\n"); PrintWriter out = null; try { out = response.getWriter(); out.print(sb.toString()); int pageNumber = Constant.PAGE_NO; int pageSize = Constant.PAGE_SIZE; int dataLength = pageSize; while (dataLength == pageSize) { int startIndex = (pageNumber - 1) * pageSize; condition.put("startIndex", startIndex); condition.put("maxCount", pageSize); List<Map<String, Object>> resultList = historyStockReportService .queryDownLoadHistoryStockInfo(condition); dataLength = resultList.size(); String[] columns = Constant.PP_DETAIL_COLUMN.split(","); for (int i = 0; i < dataLength; i++) { out.print(ExportUtils.handleExportData(resultList.get(i), columns)); } out.flush(); pageNumber++; } } catch (IOException e) { LOGGER.error("導出" + fileName + "發生錯誤:", e); } finally { if (out != null) { out.close(); } } } }
備註:這裡查詢list集合數據是按照分頁查詢,pageNo=1,pageSize=1000,這樣支持大數據量導出,比如導出10萬條數據,分頁查詢是為瞭防止把庫查詢掛瞭,數據量過大會發生導出OOM
業務層:
@Service public class HistoryStockReportServiceImpl extends BaseImpl implements HistoryStockReportService { private static final Logger LOGGER = LoggerFactory.getLogger(HistoryStockReportServiceImpl.class); //定義數據庫查詢字段 private String[] columnArray = Constant.CHECK_PP_INDEX_COLUMN.split(","); @Autowired private DalClient dalClient; /** * 下載歷史庫存報表 * @param condition * @return */ public List<Map<String, Object>> queryDownLoadHistoryStockInfo(Map<String, Object> condition) { List<Map<String, Object>> resultList = dalClient .queryForList("historyStockData.queryDownLoadHistoryStockInfo", condition); if (!CollectionUtil.isEmptyList(resultList)) { IndexDataFormatUtils.coverPpInfo(resultList, columnArray); } return resultList; } }
查詢集合處理工具類:IndexDataFormatUtils
public class IndexDataFormatUtils { /** * 統一處理PP視頻歷史庫存、特殊渠道指標報表的衍生指標數據 * @param list * @param columnArray */ public static void coverPpInfo(List<Map<String, Object>> list, String[] columnArray) { for (Map<String, Object> map : list) { // 組裝處理rate參數 calculateRate(map, Constant.FEE_PRACTICAL_SHOW_NUM, Constant.THEORY_STOCK_NUM, Constant.FILLFEE_RATE); calculateRate(map, Constant.DELIVERY_PRACTICAL_SHOW_NUM, Constant.THEORY_STOCK_NUM, Constant.DELIVERY_FILL_RATE); calculateRate(map, Constant.SHOW_NUM, Constant.THEORY_STOCK_NUM, Constant.THEORY_STOCK_RATE); calculateRate(map, Constant.THEORY_STOCK_REMAINED_NUM, Constant.THEORY_STOCK_NUM, Constant.THEORY_STOCK_REMAINED_RATE); // 處理數據值為null的單一指標 coverIndexInfoFromNull(map, columnArray); } } /** * 處理占比參數 * * @param map * @param dividendKey * @param divisorKey * @param quotientKey */ public static void calculateRate(Map<String, Object> map, String dividendKey, String divisorKey, String quotientKey) { if (StringUtils.isBlank(MapUtils.getString(map,dividendKey)) || StringUtils.isBlank(MapUtils.getString(map,divisorKey))) { map.put(quotientKey,"-"); return; } BigDecimal dividend = BigDecimal.valueOf(MapUtils.getDoubleValue(map, dividendKey)); // 被除數 BigDecimal divisor = BigDecimal.valueOf(MapUtils.getDoubleValue(map, divisorKey)); // 除數 BigDecimal quotient = BigDecimal.valueOf(0.00); // =0 相等 >0前者大於後者 ,反之 <0 前者小於後者 if(dividend.compareTo(BigDecimal.ZERO) != 0 && divisor.compareTo(BigDecimal.ZERO) != 0){ quotient = dividend.multiply(BigDecimal.valueOf(100)).divide(divisor,2,BigDecimal.ROUND_HALF_UP); } map.put(quotientKey, quotient.setScale(2) + ""); } /** * 處理數據值為null的單一指標 * @param map * @param columnArray */ public static void coverIndexInfoFromNull(Map<String, Object> map, String[] columnArray) { for (String columnName : columnArray) { String columnValue = MapUtils.getString(map,columnName); if (StringUtils.isBlank(columnValue)) { map.put(columnName,"-"); }else { map.put(columnName,columnValue); } } } }
導出數據處理工具類:ExportUtils
public class ExportUtils { /** * 處理下載指標 * */ public static String handleExportData(Map<String,Object> reportData, String[] columns){ StringBuilder sb = new StringBuilder(); for (String columnName:columns) { addStringBuffer(sb,reportData,columnName); } sb.append("\n"); return sb.toString(); } public static void addStringBuffer(StringBuilder sb, Map<String, Object> map,String name){ if(map.get(name) == null ){ sb.append("-,"); }else{ String value = String.valueOf(map.get(name)); String temp = value.replaceAll("\r", "").replaceAll("\n", ""); if(temp.contains(",")){ if(temp.contains("\"")){ temp=temp.replace("\"", "\"\""); } //將逗號轉義 temp="\""+temp+"\""; } sb.append("\t").append(temp).append(","); } } }
常量類:
//導出默認分頁 public static final int PAGE_NO = 1; public static final int PAGE_SIZE = 1000; /** * PP視頻 * 歷史存儲、特殊渠道數據庫查詢字段 */ public static final String CHECK_PP_INDEX_COLUMN = "requestNum,advertiserVvNum,responseNum,showNum,clickNum,theoryStockNum,fillFeeNum," + "feePracticalShowNum,deliveryFillNum,deliveryPracticalShowNum,theoryStockRemainedNum," + "systemExceptionLost,userExitLost,income"; /** * 20190509 * pp視頻歷史庫存、特殊渠道日志數據報表 * 報表下載模板頭部(英文) */ public static final String PP_DETAIL_COLUMN = "countDate,pointLocationCode,pointLocationName,positionScreenTypeCode,positionScreenTypeName," + "requestNum,advertiserVvNum,responseNum,showNum,clickNum,theoryStockNum,fillFeeNum,feePracticalShowNum,deliveryFillNum," + "deliveryPracticalShowNum,theoryStockRemainedNum,systemExceptionLost,userExitLost,income,fillFeeRate,deliveryFillRate," + "theoryStockRate,theoryStockRemainedRate"; /** * pp視頻歷史庫存日志數據報表 * 報表下載模板頭部(中文) */ public static final String[] PP_INDEX_DETAIL_HEAD_NAME_LIST = {"統計時間,","點位/終端編碼,","點位/終端名稱,","廣告位編碼,", "廣告位名稱,", "請求量,", "廣告vv量,","返回量,","曝光量,", "點擊量,", "理論庫存量,", "付費填充量,", "付費實際曝光量,", "配送填充量,", "配送實際曝光量,", "理論庫存餘量,", "系統異常損失,", "用戶退出損失,","收入,", "付費使用率,", "配送使用率,", "庫存使用率,", "庫存餘量占比,"};
導出效果:
以上就是本文的全部內容,希望對大傢的學習有所幫助,也希望大傢多多支持WalkonNet。
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