我构建了一个storm拓扑，它通过一个kafka喷口从ApacheKafka接收元组，将这个数据（使用另一个bolt）作为字符串写入本地系统上的一个.txt文件，然后从我的postbolt发送一个httppost。
两个螺栓都连接到Kafka喷口。
如果我在没有postbolt的情况下测试拓扑，一切正常。但是如果我把螺栓加到拓扑上，整个拓扑就会因为某种原因被阻塞。
有没有人有同样的问题或会给我一个提示，这是什么原因？
我读到closeablehttpclient或closeablehttpresponse阻止线程工作的一些问题。。。在这种情况下，这可能是同一个问题吗？
我的邮政编码：

public class PostBolt extends BaseRichBolt {

private CloseableHttpClient httpclient; 

@Override
public final void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
    //empty for now
}

@Override
public final void execute(Tuple tuple) {

    //create HttpClient:
    httpclient = HttpClients.createDefault();
    String url = "http://xxx.xxx.xx.xxx:8080/HTTPServlet/httpservlet";
    HttpPost post = new HttpPost(url);

    post.setHeader("str1", "TEST TEST TEST");

    try {
        CloseableHttpResponse postResponse;
        postResponse = httpclient.execute(post);
        System.out.println(postResponse.getStatusLine());
        System.out.println("=====sending POST=====");
        HttpEntity postEntity = postResponse.getEntity();
        //do something useful with the response body
        //and ensure that it is fully consumed
        EntityUtils.consume(postEntity);
        postResponse.close();
    }catch (Exception e){
         e.printStackTrace();
    }
}

@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
    declarer.declare(new Fields("HttpPost"));
}}

我的拓扑代码：

public static void main(String[] args) throws Exception {

    /**
    *   create a config for Kafka-Spout (and Kafka-Bolt)
    */
    Config config = new Config();
    config.setDebug(true);
    config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1);
    //setup zookeeper connection
    String zkConnString = "localhost:2181";
    //define Kafka topic for the spout
    String topic = "mytopic";
    //assign the zookeeper connection to brokerhosts
    BrokerHosts hosts = new ZkHosts(zkConnString);

    //setting up spout properties
    SpoutConfig kafkaSpoutConfig = new SpoutConfig(hosts, topic, "/" +topic, UUID.randomUUID().toString());
    kafkaSpoutConfig.bufferSizeBytes = 1024 * 1024 * 4;
    kafkaSpoutConfig.fetchSizeBytes = 1024 * 1024 * 4;
    kafkaSpoutConfig.scheme = new SchemeAsMultiScheme(new StringScheme());

    /**
    *   Build the Topology by linking the spout and bolts together
    */
    TopologyBuilder builder = new TopologyBuilder();
    builder.setSpout("kafka-spout", new KafkaSpout(kafkaSpoutConfig));
    builder.setBolt("printer-bolt", new PrinterBolt()).shuffleGrouping("kafka-spout");
    builder.setBolt("post-bolt", new PostBolt()).shuffleGrouping("kafka-spout");

    /**
    *   Check if we're running locally or on a real cluster
    */
    if (args != null && args.length >0) {
        config.setNumWorkers(6);
        config.setNumAckers(6);
        config.setMaxSpoutPending(100);
        config.setMessageTimeoutSecs(20);
        StormSubmitter.submitTopology("StormKafkaTopology", config, builder.createTopology());
    } else {
        config.setMaxTaskParallelism(3);
        config.setNumWorkers(6);
        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology("StormKafkaTopology", config, builder.createTopology());
        //Utils.sleep(100000);
        //cluster.killTopology("StormKafkaTopology");
        //cluster.shutdown();
    }
}}