Java 使用Apache Storm时出现同步问题

Java 使用Apache Storm时出现同步问题,java,apache-storm,geohashing,Java,Apache Storm,Geohashing,我正在尝试ApacheStorm来处理GeoHash代码流。我正在使用和Apache Storm 0.9.3。python的geohash详细信息可在上找到 目前,我在一个BOLT类的execute方法中面临一个同步问题。我尝试过使用一个粗体字,它可以提供正确的输出。但当我从一个螺栓螺纹变成两个或更多的螺纹时。输出被弄乱了 其中一个问题的代码段只有: public static int PRECISION=6; private OutputCollector collector; Buffere

我正在尝试ApacheStorm来处理GeoHash代码流。我正在使用和Apache Storm 0.9.3。python的geohash详细信息可在上找到

目前,我在一个BOLT类的execute方法中面临一个同步问题。我尝试过使用一个粗体字,它可以提供正确的输出。但当我从一个螺栓螺纹变成两个或更多的螺纹时。输出被弄乱了

其中一个问题的代码段只有:

public static int PRECISION=6;
private OutputCollector collector;
BufferedReader br;
String lastGeoHash="NONE";
HashMap<String,Integer> map;
HashMap<String,String[]> zcd;
TreeMap<Integer,String> counts=new TreeMap<Integer,String>();
public void prepare( Map conf, TopologyContext context, OutputCollector collector ) 
{
    String line="";
    this.collector = collector;
    map=new HashMap<String,Integer>();
    zcd=new HashMap<String,String[]>();
    try {
        br = new BufferedReader(new FileReader("/tmp/zip_code_database.csv"));
        int i=0;
        while ((line = br.readLine()) != null) {
            if(i==0){
                String columns[]=line.split(",");
                for(int j=0;j<columns.length;j++){
                    map.put(columns[j],j);
                }
            }else{
                String []split=line.split(",");
                zcd.put(split[map.get("\"zip\"")],new String[]{split[map.get("\"state\"")],split[map.get("\"primary_city\"")]});
            }
            i++;
        }
        br.close();
    //  System.out.println(zcd);
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } catch (IOException e) {
        e.printStackTrace();
    }
    System.out.println("Initialize");
    initializeTreeMapAsPerOurRequirement(counts);
}

public void execute( Tuple tuple ) 
{
    String completeFile = tuple.getStringByField("string");//So, this data is generated by Spout and it contains the complete shape file where each line is separated by a new line character i.e. "\n"
    String lines[]=completeFile.split("\t");
    String geohash=lines[0];
    int count=Integer.parseInt(lines[1]);
    String zip=lines[2];
    String best="";
    String city="";
    String state="";

    if(!(geohash.equals(lastGeoHash)) && !(lastGeoHash.equals("NONE"))){
        //if(counts.size()!=0){
            //System.out.println(counts.firstKey());
                best=counts.get(counts.lastKey());
                //System.out.println(geohash);
                if(zcd.containsKey("\""+best+"\"")){
                    city = zcd.get("\""+best+"\"")[0];
                    state = zcd.get("\""+best+"\"")[1];
                    System.out.println(lastGeoHash+","+best+","+state+","+city+","+"US");
                }else if(!best.equals("NONE")){
                    System.out.println(lastGeoHash);
                    city="MISSING";
                    state="MISSING";
                }
        //      initializeTreeMapAsPerOurRequirement(counts);
            //}else{
                //System.out.println("else"+geohash);
            //}

        //}
    }
    lastGeoHash=geohash;
    counts.put(count, zip);

    collector.ack( tuple );
}

private void initializeTreeMapAsPerOurRequirement(TreeMap<Integer,String> counts){
    counts.clear();
    counts.put(-1,"NONE");
}

public void declareOutputFields( OutputFieldsDeclarer declarer ) 
{
    System.out.println("here");
    declarer.declare( new Fields( "number" ) );
}
有人能看看代码并给我一些指导吗

您已将喷口和两个螺栓的平行度提示设置为2。这意味着每个组件将运行2个执行器,这可能会破坏您的输出。
通过将parallelism\u hint设置为1,您可以获得所需的输出。

您为螺栓的parallelism\u hint设置了什么?请同时显示您的拓扑代码。@shizan添加了拓扑代码。考虑到这对我的申请没有好处,我没有为每个执行者添加任务数量。
public static void main(String[] args) 
{
    TopologyBuilder builder = new TopologyBuilder();

    builder.setSpout( "spout", new SendWholeFileDataSpout(),2);
    builder.setBolt( "map", new GeoHashBolt(),2).shuffleGrouping("spout");
    builder.setBolt("reduce",new GeoHashReduceBolt(),2).fieldsGrouping("map", new Fields("value"));

    Config conf = new Config();

    LocalCluster cluster = new LocalCluster();
    cluster.submitTopology("test", conf, builder.createTopology());
    Utils.sleep(10000);
    cluster.killTopology("test");
    cluster.shutdown();
}