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Posted to dev@kafka.apache.org by "Onur Karaman (JIRA)" <ji...@apache.org> on 2016/04/06 19:58:25 UTC

[jira] [Comment Edited] (KAFKA-3494) mbeans overwritten with identical clients on a single jvm

    [ https://issues.apache.org/jira/browse/KAFKA-3494?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15228754#comment-15228754 ] 

Onur Karaman edited comment on KAFKA-3494 at 4/6/16 5:58 PM:
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bq. I think we have collisions with more than just quota mbeans.

That's right. It can result in collisions in all of the consumer mbeans. I was trying to say that these collisions surface as a result of quotas making it seem okay for consumer instances to share client ids while the current metrics don't expect this.


was (Author: onurkaraman):
bq. I think we have collisions with more than just quota mbeans.

That's right. It can result in collisions in all of the consumer mbeans. I was trying to say that these collisions surface as a result of quotas making it seem okay to reuse client ids while the current metrics don't expect this.

> mbeans overwritten with identical clients on a single jvm
> ---------------------------------------------------------
>
>                 Key: KAFKA-3494
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3494
>             Project: Kafka
>          Issue Type: Bug
>            Reporter: Onur Karaman
>
> Quotas today are implemented on a (client-id, broker) granularity. I think one of the motivating factors for using a simple quota id was to allow for flexibility in the granularity of the quota enforcement. For instance, entire services can share the same id to get some form of (service, broker) granularity quotas. From my understanding, client-id was chosen as the quota id because it's a property that already exists on the clients and reusing it had relatively low impact.
> Continuing the above example, let's say a service spins up multiple KafkaConsumers in one jvm sharing the same client-id because they want those consumers to be quotad as a single entity. Sharing client-ids within a single jvm would cause problems in client metrics since the mbeans tags only go as granular as the client-id.
> An easy example is kafka-metrics count. Here's a sample code snippet:
> {code}
> package org.apache.kafka.clients.consumer;
> import java.util.Collections;
> import java.util.Properties;
> import org.apache.kafka.common.TopicPartition;
> public class KafkaConsumerMetrics {
>     public static void main(String[] args) throws InterruptedException {
>         Properties properties = new Properties();
>         properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
>         properties.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "test");
>         properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
>         properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
>         properties.setProperty(ConsumerConfig.CLIENT_ID_CONFIG, "testclientid");
>         KafkaConsumer<String, String> kc1 = new KafkaConsumer<>(properties);
>         KafkaConsumer<String, String> kc2 = new KafkaConsumer<>(properties);
>         kc1.assign(Collections.singletonList(new TopicPartition("t1", 0)));
>         while (true) {
>             kc1.poll(1000);
>             System.out.println("kc1 metrics: " + kc1.metrics().size());
>             System.out.println("kc2 metrics: " + kc2.metrics().size());
>             Thread.sleep(1000);
>         }
>     }
> }
> {code}
> jconsole shows one mbean kafka.consumer:type=kafka-metrics-count,client-id=testclientid consistently with value 40.
> but stdout shows:
> {code}
> kc1 metrics: 69
> kc2 metrics: 40
> {code}
> I think the two possible solutions are:
> 1. add finer granularity to the mbeans to distinguish between the clients
> 2. require client ids to be unique per jvm like KafkaStreams has done



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