我有一个需要从 Redis 实例流式传输其数据的 Storm 拓扑，我尝试运行从单个 Redis 实例读取的拓扑，但似乎没有从 Redis 读取任何内容，当我检查返回的队列时它是空的。我使用的是 Storm 版本 0.9.3。

这是我的 RedisQueueSpout这是一个 Storm spout，它将使用指定的模式(也称为 key )将您的拓扑插入 Redis，每次 Storm 轮询它时，它都会在其中查找输入数据。 spout 将带有 ID 消息的单个字段发送到它后面的任何一个 bolt。

package storm.starter.spout;

import java.util.List;
import java.util.Map;
import redis.clients.jedis.Jedis;
import backtype.storm.spout.SpoutOutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.base.BaseRichSpout;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;
import backtype.storm.utils.Utils;


public class RedisQueueSpout extends BaseRichSpout {
  static final long            serialVersionUID = 737015318988609460L;
  private SpoutOutputCollector _collector;
  private final String         host;
  private final int            port;
  private final String         pattern;
  private transient JedisQueue jq;

  public RedisQueueSpout(String host, int port, String pattern) {
    this.host = host;
    this.port = port;
    this.pattern = pattern;
  }

  @SuppressWarnings("rawtypes")
  public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
    _collector = collector;
    Jedis newJedis = new Jedis(host, port);
    newJedis.connect();
    this.jq = new JedisQueue(newJedis, pattern);
  }

  public void close() {}

  public void nextTuple() {
    List<String> ret = this.jq.dequeue();
    if (ret == null) {
      Utils.sleep(5L);
    }
    else {
      System.out.println(ret);
      _collector.emit(new Values(ret));
    }
  }

  @Override
  public void ack(Object msgId) {}

  @Override
  public void fail(Object msgId) {}

  public void declareOutputFields(OutputFieldsDeclarer declarer) {
    declarer.declare(new Fields("name"));
  }
}

这是我的 JedisQueue这是由 Redis 支持的标准队列数据结构的实现。请注意，dequeue 方法有些不同寻常地返回 List<String>。因为这是底层 Jedis 实现返回的内容:这是由于 Redis 能够为单个键存储多个值。

package storm.starter;

import java.util.List;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.exceptions.JedisDataException;

public class JedisQueue {
  private transient Jedis jedis;
  private final String pattern;

  public JedisQueue(Jedis jedis, String pattern) {
    this.jedis = jedis;
    this.pattern = pattern;
  }

  public void clear() {
    this.jedis.del(this.pattern);
  }

  public boolean isEmpty() { 
    return (this.size() == 0);
  }

  public int size() {
    return new Integer(this.jedis.llen(this.pattern).toString());
  }

  public List<String> toArray() {
    return this.jedis.lrange(this.pattern, 0, -1);
  }

  public void enqueue(String... elems) {
    this.jedis.rpush(this.pattern, elems);
  }

  public List<String> dequeue() {
    List<String> out = null;
    try {
      out = this.jedis.blpop(0, this.pattern);
    }
    catch (JedisDataException e) {
      // It wasn't a list of strings
    }

    return out;
  }
}

代码取自Storm-jedis有关更多信息，您可以查看链接。

这是我的拓扑结构:

package storm.starter;

import org.tomdz.storm.esper.EsperBolt;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;
import backtype.storm.utils.Utils;
import storm.starter.spout.RedisQueueSpout;;

public class NameCountTopology {
  public static void main (String[] args) throws Exception {
    String host = "10.0.0.251";
    int port = 6379;
    String pattern = "Name:*";
    TopologyBuilder builder = new TopologyBuilder();

    EsperBolt bolt = new EsperBolt.Builder().inputs().aliasComponent("spout").toEventType("names").outputs()
            .onDefaultStream().emit("nps").statements()
            .add("select count(*) as nps from names.win:time_batch(1 sec)").build();

    builder.setSpout("spout", new RedisQueueSpout(host,port,pattern),1);
    builder.setBolt("count-bolt", bolt, 1).fieldsGrouping("spout", new Fields("name"));


    Config conf = new Config();
    conf.setDebug(true);


    if (args != null && args.length > 0) {
        conf.setNumWorkers(1);

        StormSubmitter.submitTopology(args[0], conf, builder.createTopology());

    } else {

        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology("name-count-topology", conf, builder.createTopology());
        Utils.sleep(300000);
        cluster.killTopology("name-count-topology");
        cluster.shutdown();

    }
}

我的 Redis 键值是使用 HMSET 按以下格式存储的:

HMSET Name:1 NAME Mary YEAR 1880 GENDER F COUNT 7065
HMSET Name:2 NAME Anna YEAR 1880 GENDER F COUNT 2604
...

这是我的主管节点的日志:

2016-05-04 07:37:56 b.s.d.executor [INFO] Opened spout spout:(3) 
2016-05-04 07:37:56 b.s.d.executor [INFO] Activating spout spout:(3)
2016-05-04 07:37:56 STDIO [INFO] Queue is empty... 
2016-05-04 07:37:56 c.e.e.c.EPServiceProviderImpl [INFO] Initializing engine URI 'org.tomdz.storm.esper.EsperBolt@44d83ea0' version 4.3.0 
2016-05-04 07:37:58 b.s.d.executor [INFO] Prepared bolt count-bolt:(2)
2016-05-04 07:38:54 b.s.d.executor [INFO] Processing received message source: __system:-1, stream: __metrics_tick, id: {}, [60] 
2016-05-04 07:38:54 b.s.d.task [INFO] Emitting: __system __metrics [#<TaskInfo backtype.storm.metric.api.IMetricsConsumer$TaskInfo@70f9b3ee> [#<DataPoint [__ack-count = {}]> #<DataPoint [memory/heap = {unusedBytes=9418640, usedBytes=14710896, maxBytes=259522560, initBytes=8035520, virtualFreeBytes=244811664, committedBytes=24129536}]> #<DataPoint [__receive = {write_pos=1, read_pos=0, capacity=1024, population=1}]> #<DataPoint [__fail-count = {}]> #<DataPoint [__execute-latency = {}]> #<DataPoint [newWorkerEvent = 1]> #<DataPoint [__emit-count = {}]> #<DataPoint [__execute-count = {}]> #<DataPoint [__sendqueue = {write_pos=-1, read_pos=-1, capacity=1024, population=0}]> #<DataPoint [memory/nonHeap = {unusedBytes=1218808, usedBytes=36529928, maxBytes=224395264, initBytes=24313856, virtualFreeBytes=187865336, committedBytes=37748736}]> #<DataPoint [uptimeSecs = 77.358]> #<DataPoint [__transfer = {write_pos=0, read_pos=0, capacity=1024, population=0}]> #<DataPoint [startTimeSecs = 1.462347457159E9]> #<DataPoint [__process-latency = {}]> #<DataPoint [__transfer-count = {}]>]] 
2016-05-04 07:38:54 b.s.d.executor [INFO] Processing received message source: __system:-1, stream: __metrics_tick, id: {}, [60] 
2016-05-04 07:38:54 b.s.d.task [INFO] Emitting: __acker __metrics [#<TaskInfo backtype.storm.metric.api.IMetricsConsumer$TaskInfo@19940834> [#<DataPoint [__ack-count = {}]> #<DataPoint [__sendqueue = {write_pos=-1, read_pos=-1, capacity=1024, population=0}]> #<DataPoint [__receive = {write_pos=1, read_pos=0, capacity=1024, population=1}]> #<DataPoint [__process-latency = {}]> #<DataPoint [__transfer-count = {}]> #<DataPoint [__execute-latency = {}]> #<DataPoint [__fail-count = {}]> #<DataPoint [__emit-count = {}]> #<DataPoint [__execute-count = {}]>]]

并且日志一直这样重复。 这是运行拓扑后我的用户界面: storm UI

现在我的问题是为什么 spout 不工作并且没有发出任何东西，似乎没有从 Redis 中获取任何东西。

PS:我已经检查了主机和端口，我可以从 Redis 获取数据，所以我认为与 Redis 的连接没有任何问题。

最佳答案

1. HMSET 用于散列，BLPOP 用于列表。它们不兼容。
2. BLPOP 不需要模式。它需要确切的键名。请引用http://redis.io/commands/blpop了解详情。
3. 由于 Spout 从单线程执行 nextTuple()、ack()、fail() 方法，因此具有长(或无限)超时的 BLPOP 也会阻塞 Spout，除非有一条消息可用于弹出。

希望对您有所帮助。

关于redis - 使用带有 Redis 的 Storm 作为数据源，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/37039034/