一段代码

来源：互联网发布：php const调用赋值编辑：程序博客网时间：2024/04/28 12:49

-------------------------
           // 跳过表头,否则也会被读取
           csvReader.readHeaders();

           while (csvReader.readRecord()) {
               int columns = csvReader.getColumnCount();
               int countersNum = this.CounterIDs.length;
               // 把counterId对应的值分别组织到对应的list中
               for (int i = 0; i < countersNum; i++) {
                   String counterValue = csvReader.get(columns - countersNum + i);

                   String counterId = this.CounterIDs[i];
                   List counterValuesList = new ArrayList();
                   counterValuesList.add(counterValue);

                   if (counterIdMap.get(counterId) == null) {
                       counterIdMap.put(counterId, counterValuesList);
                   } else {
                       List tempList = (List) counterIdMap.get(counterId);
                       tempList.add(counterValue);
                   }
               }
           }

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

           // 跳过表头
           csvReader.readHeaders();

           while (csvReader.readRecord()) {

               int columns = csvReader.getColumnCount();

               // counterId映射value的map
               Map<String, Double> counterIdWithValue = new HashMap<String, Double>();

               // 把counterId与对应的值组织到map里
               for (int i = 0; i < countersNum; i++) {
                   counterIdWithValue
                           .put(this.CounterIDs[i], Double.valueOf(csvReader.get(columns - countersNum + i)));
               }

               // 把"开始时间"作为一个key
               String granularityKey = csvReader.get(1);

               // 把“RNC Managed NE”、“NodeB”、“本地小区标识”的值拼成key
               String areakey = csvReader.get(4) + "_" + csvReader.get(8) + "_" + csvReader.get(10);

               // 判断当前的时间粒度分组在timeKeymap中是否存在
               // 如果不存在将其作为一个key,再将当前“小区”和对应的“性能值”放入“valueMap”中
               Map valueMap = new HashMap<String, Map<String, Double>>();
               valueMap.put(areakey, counterIdWithValue);

               // 如果为空，那么新创建的map就是“时间粒度key”对应的值
               if (mapElementsGroupByGranularity.get(granularityKey) == null) {
                   mapElementsGroupByGranularity.put(granularityKey, valueMap);
               } else {
                   // 如果不为空，通过“时间粒度key”得到对应map值，把属于同一时间粒度的小区性能化为一组
                   Map valueMAP = (HashMap<String, Map<String, Double>>) mapElementsGroupByGranularity
                           .get(granularityKey);
                   valueMAP.put(areakey, counterIdWithValue);
               }
           }

0 0