@Override
 public void onStop() {
   if (conn != null) {
     conn.close();
     conn = null;
     producer.close();
     consumer.close();
   }
 }
 @Override
 public void run() {
   logger.info("begin to consume tweets");
   controller.running();
   while (true) {
     susSem.acquireUninterruptibly();
     try {
       for (Entry<String, List<Status>> topicData : consumer.nextStatus().entrySet()) {
         try {
           // 在高速转发的情况下,这样可以减轻写入到kafka中的状态数据
           Map<String, TimeSeriesUpdateState> states =
               new HashMap<String, TimeSeriesUpdateState>();
           List<TimeSeriesUpdateState> segSignal = new ArrayList<TimeSeriesUpdateState>();
           for (Status cur : topicData.getValue()) {
             tweetDao.putTweet(cur);
             if (cur.getRetweetedStatus() != null) {
               // rand.nextFloat() < 0.01 &&
               if (tweetDao.getStatusByMid(cur.getRetweetedStatus().getMid()) == null) {
                 tweetDao.putTweet(cur.getRetweetedStatus());
               }
               tweetDao.putRtweet(cur);
               for (TimeSeriesUpdateState state : tweetDao.updateRtTimeSeries(cur)) {
                 states.put(state.getMid(), state);
               }
             } else {
               // maybe it is the first tweet or an indication
               // for end of monitoring
               if (cur.getMid() != null) {
                 SegState state = segDao.getSegState(cur.getMid());
                 if (state != null) {
                   long updateDate = DateUtil.roundByHour(System.currentTimeMillis());
                   segSignal.add(new TimeSeriesUpdateState(state.mid, updateDate, true));
                   List<String> mids = tweetDao.getRtMids(state.mid);
                   for (String rtMid : mids) {
                     segSignal.add(new TimeSeriesUpdateState(rtMid, updateDate, true));
                   }
                 }
               }
             }
           }
           for (TimeSeriesUpdateState state : segSignal) {
             states.put(state.mid, state);
           }
           for (TimeSeriesUpdateState state : states.values()) {
             logger.info("update time series " + state);
             producer.storeTsUpdateState(state);
           }
         } catch (Exception ex) {
           ex.printStackTrace();
         }
       }
     } finally {
       susSem.release();
     }
   }
 }