@Override public MessageDto getCheckInMembersByFlight(String fltDt, String fltNr, String channel,String origincd,String destcd) { log.info("請求參數:"+"fltDt:"+fltDt+",fltNr:"+fltNr+",channel:"+channel+",origincd:"+origincd+",destcd:"+destcd); MessageDto messageDto = new MessageDto(); boolean flag = (null !=fltDt&&!("").equals(fltDt) &&null !=fltNr&&!("").equals(fltNr) &&null !=channel&&!("").equals(channel) &&null !=origincd&&!("").equals(origincd) &&null !=destcd&&!("").equals(destcd)) &&(channel.equals("WX")|channel.equals("APP")); if (flag) { String fltDtStr = fltDt.replace("-","")+"000000"; //分組的依據psgId DBObject keys = new BasicDBObject("psgId", true); //dbObject為檢索條件,檢索出符合業務的數據 BasicDBObject dbObject = new BasicDBObject(); dbObject.put("fltDt", fltDtStr); String fltNrSub = fltNr.substring(2); dbObject.put("fltNr", fltNrSub); dbObject.put("checkinStatus", "AC"); dbObject.put("originCd", origincd); dbObject.put("destCd",destcd ); //設定下面函數的初始值:prev的字段dcsTimestamp的初始值,用於做比較取dcsTimestamp的最大值 DBObject initial = new BasicDBObject("dcsTimestamp", "0"); //這個屬於js的語法,這個腳本用於在psgId組內,比較出較大的dcsTimestamp,並且取出這條數據中要返回的值 //注意后面的賦值要有dcsTimestamp的賦值,不然得出的數據不准確 String reduce = "function(doc,prev){" + "var docDcsTimestamp=doc.dcsTimestamp;" + "var prevDcsTimestamp=prev.dcsTimestamp;" + "var docDcsTimestampInt=parseInt(docDcsTimestamp);" + "var prevDcsTimestampInt=parseInt(prevDcsTimestamp);" + "if(docDcsTimestampInt > prevDcsTimestampInt){" + "prev.fqNo=doc.fqNo;" + "prev.credentNo=doc.credentNo;" + "prev.chnName=doc.chnName;prev.dcsTimestamp=doc.dcsTimestamp;}" + "}"; BasicDBList dbList = (BasicDBList) mongoTemplate.getCollection("b_dep_pnr_psg").group(keys, dbObject, initial, reduce); log.info("分組處理成功"); JSONArray resultJson = new JSONArray(); for (int i = 0; i < dbList.size(); i++) { //取出最終的得到數據中的要返回的參數,封裝到map轉json返回。添加name和證件號不為空判斷,其中一個為空不返回 JSONObject jsStr = JSONObject.parseObject(dbList.get(i).toString()); String fqNoStr = (String) jsStr.get("fqNo"); String chnName = (String) jsStr.get("chnName"); String credentNo = (String) jsStr.get("credentNo"); Map<String, String> map = new HashMap<String, String>(); ObjectMapper mapJson = new ObjectMapper(); if(null!=chnName&&!chnName.equals("")&&null!=credentNo&&!credentNo.equals("")){ map.put("fqNo", fqNoStr); map.put("name", chnName); map.put("credentNo", credentNo); }else{ continue; } String params = null; JSONObject resultJsonObiect = null; try { params = mapJson.writeValueAsString(map); resultJsonObiect = JSONObject.parseObject(params); } catch (JsonProcessingException e) { e.printStackTrace(); } resultJson.add(resultJsonObiect); } messageDto.setMessage("成功"); messageDto.setCode("0"); messageDto.setContent(resultJson); } else { messageDto.setMessage("參數個數不對"); messageDto.setCode("10001"); messageDto.setContent(null); } return messageDto; }
2、分組也可,
public void query1(){ String mondburl = Config.getInstance().getProperty("mongodb.host"); MongoClientOptions options = new MongoClientOptions.Builder().socketKeepAlive(true).build(); Mongo client = new MongoClient(mondburl, options); DB database = client.getDB("pnr"); DBCollection coll = database.getCollection("b_dep_pnr_flt"); //條件 DBObject dbObject = new BasicDBObject(); dbObject.put("alnCd", "CZ"); dbObject.put("fltNr", "3452"); dbObject.put("fltDt", "20180425000000"); dbObject.put("arvCd", "SZX"); dbObject.put("depCd", "LJG"); //FindIterable<Document> dbCursor = col.find((Bson) dbObject); /*創建 $match, 作用相當於query*/ DBObject match = new BasicDBObject("$match", dbObject); /* Group操作*/ DBObject groupFields = new BasicDBObject("_id",null); groupFields.put("MAXDcsTimestamp", new BasicDBObject("$max", "$dcsTimestamp")); DBObject group = new BasicDBObject("$group", groupFields); /* 查看Group結果 */ AggregationOutput output = coll.aggregate(match, group); // 執行 aggregation命令 Iterable<DBObject> results = output.results(); for (DBObject dbObject2 : results) { System.out.println(dbObject2.toString()); } }