storm ui不正确的值和工具

f8rj6qna  于 2021-06-08  发布在  Kafka
关注(0)|答案(1)|浏览(329)

我对apachestorm是个新手,一直在尝试kafka的三叉戟拓扑结构,即事务性的三叉戟kafkaspout。除了风暴用户界面,一切正常。即使我没有为我的主题生成任何数据,storm ui仍然显示无效的已发出/已传输的值。这意味着即使主题中没有数据,计数也会不断增加。我试过删除存储在zookeeper、storm、kafka和recreate kafka主题中的数据/日志,还设置了

topology.stats.sample.rate: 1.0

但问题依然存在。
我还发现了一个叫做毛细管的工具来监测风暴群。我正在使用以下属性

capillary.zookeepers="192.168.125.20:2181"
capillary.kafka.zkroot="192.168.125.20:/home/storm/kafka_2.11-0.8.2.0"
capillary.storm.zkroot="192.168.125.20:/home/storm/apache-storm-0.9.3"

我用的是Kafka的嵌入式Zookeeper。即使这样也不能得到下面的例外。

! @6mbg4bp7l - Internal server error, for (GET) [/] ->

play.api.Application$$anon$1: Execution exception[[JsonParseException: Unexpected character ('.' (code 46)): Expected space separating root-level values
 at [Source: java.io.StringReader@24adb083; line: 1, column: 9]]]
        at play.api.Application$class.handleError(Application.scala:296) ~[com.typesafe.play.play_2.10-2.3.4.jar:2.3.4]
        at play.api.DefaultApplication.handleError(Application.scala:402) [com.typesafe.play.play_2.10-2.3.4.jar:2.3.4]
        at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$14$$anonfun$apply$1.applyOrElse(PlayDefaultUpstreamHandler.scala:205) [com.typesafe.play.play_2.10-2.3.4.jar:2.3.4]
        at play.core.server.netty.PlayDefaultUpstreamHandler$$anonfun$14$$anonfun$apply$1.applyOrElse(PlayDefaultUpstreamHandler.scala:202) [com.typesafe.play.play_2.10-2.3.4.jar:2.3.4]
        at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33) [org.scala-lang.scala-library-2.10.4.jar:na]
Caused by: com.fasterxml.jackson.core.JsonParseException: Unexpected character ('.' (code 46)): Expected space separating root-level values
 at [Source: java.io.StringReader@24adb083; line: 1, column: 9]
        at com.fasterxml.jackson.core.JsonParser._constructError(JsonParser.java:1524) ~[com.fasterxml.jackson.core.jackson-core-2.3.2.jar:2.3.2]
        at com.fasterxml.jackson.core.base.ParserMinimalBase._reportError(ParserMinimalBase.java:557) ~[com.fasterxml.jackson.core.jackson-core-2.3.2.jar:2.3.2]
        at com.fasterxml.jackson.core.base.ParserMinimalBase._reportUnexpectedChar(ParserMinimalBase.java:475) ~[com.fasterxml.jackson.core.jackson-core-2.3.2.jar:2.3.2]
        at com.fasterxml.jackson.core.base.ParserMinimalBase._reportMissingRootWS(ParserMinimalBase.java:495) ~[com.fasterxml.jackson.core.jackson-core-2.3.2.jar:2.3.2]
        at com.fasterxml.jackson.core.json.ReaderBasedJsonParser._verifyRootSpace(ReaderBasedJsonParser.java:1178) ~[com.fasterxml.jackson.core.jackson-core-2.3.2.jar:2.3.2]

任何一个方面的帮助都会很好。提前谢谢。
配置和源代码段:

final Config config = new Config();
    config.put(Config.TOPOLOGY_TRIDENT_BATCH_EMIT_INTERVAL_MILLIS, 3000);
    config.setNumWorkers(2);
    config.put(Config.NIMBUS_HOST, "192.168.125.20");
    config.put(Config.NIMBUS_THRIFT_PORT, 6627);
    config.put(Config.STORM_ZOOKEEPER_PORT, 2181);
    config.put(Config.STORM_ZOOKEEPER_SERVERS, Arrays.asList("192.168.125.20"));
    config.put(Config.TOPOLOGY_EXECUTOR_RECEIVE_BUFFER_SIZE, 16384);
    config.put(Config.TOPOLOGY_ACKER_EXECUTORS, 1);
    config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 10);
    config.put(Config.DRPC_SERVERS, Arrays.asList("192.168.125.20"));
    config.put(Config.DRPC_PORT, 3772);

final BrokerHosts zkHosts = new ZkHosts("192.168.125.20");
final TridentKafkaConfig kafkaConfig = new TridentKafkaConfig(zkHosts, "Test_Topic", "");
kafkaConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
kafkaConfig.bufferSizeBytes = 1024 * 1024 * 4;
kafkaConfig.fetchSizeBytes = 1024 * 1024 * 4;
kafkaConfig.forceFromStart = false;

final TransactionalTridentKafkaSpout kafkaSpout = new TransactionalTridentKafkaSpout(kafkaConfig);
final TridentTopology topology = new TridentTopology();
topology.newStream("spout", kafkaSpout)
       .each(new Fields("str"), new TestFunction(), new Fields("test"))
       .each(new Fields("str"), new PrintFilter());

拓扑摘要图像:

31moq8wy

31moq8wy1#

你可能看到了我称之为三叉戟的ui度量工件吗?这些元组也显示在storm ui的计数器中:
trident每500毫秒执行一次批处理(默认情况下)。一个批处理涉及到一系列协调消息,这些消息发送到所有螺栓以协调该批处理(即使该批处理是空的)。所以这就是你看到的。
(来源:三叉戟Kafka喷口-确认计数增加,即使没有消息处理)

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