'Why could Kafka warn "partitions have leader brokers without a matching listener"?
I'm trying to get Kafka to work on docker-compose for the first time. The application runs fine without docker. But on docker, I get the error as described below. Any reason why Kafka would throw this error?
The error:
email-service_1 | 2018-12-01 14:32:02.448 WARN 1 --- [ntainer#0-0-C-1] o.a.k.c.NetworkClient : [Consumer clientId=consumer-2, groupId=kafka] 1 partitions have leader brokers without a matching listener, including [email-token-0]
My docker-compose config:
version: '3.3'
services:
zookeeper:
image: wurstmeister/zookeeper
ports:
- "2181:2181"
kafka:
image: wurstmeister/kafka
command: [start-kafka.sh]
environment:
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_ADVERTISED_HOST_NAME: 192.168.23.134
KAFKA_CREATE_TOPICS: "email-token:1:1"
volumes:
- /var/run/docker.sock:/var/run/docker.sock
ports:
- "9092:9092"
depends_on:
- zookeeper
email-service:
build: ./email-service
environment:
SPRING_KAFKA_BOOTSTRAPSERVERS: kafka:9092
ports:
- "8081:8081"
depends_on:
- kafka
Solution 1:[1]
As stated in the comments to your question the problem seems to be with the advertised name for the Kafka broker. According to your docker-compose you should be using 192.168.23.134
but your email-service is using kafka:9092
. You can try with this docker-compose. I replaced the wurstmeister services with the latest Zookeeper and Kafka provided by confluentinc
and added your email-service.
---
version: '2'
services:
zookeeper:
image: confluentinc/cp-zookeeper:latest
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
kafka:
image: confluentinc/cp-kafka:latest
depends_on:
- zookeeper
ports:
- 9092:9092
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
email-service:
build: ./email-service
environment:
SPRING_KAFKA_BOOTSTRAPSERVERS: kafka:29092
ports:
- "8081:8081"
depends_on:
- kafka
advertised.listeners: Listeners to publish to ZooKeeper for clients to use, if different than the listeners config property. In IaaS environments, this may need to be different from the interface to which the broker binds. If this is not set, the value for listeners will be used. Unlike listeners it is not valid to advertise the 0.0.0.0 meta-address.
Please note that KAFKA_ADVERTISED_HOST_NAME
has been deprecated and it's recommended to use KAFKA_ADVERTISED_LISTENERS
instead. For more information about KAFKA_ADVERTISED_LISTENERS
check here.
Solution 2:[2]
This is Apache Kafka 2.4.0.
I'm sharing the low-level code-based findings to shed more light when this WARN message could be printed out and why. That's certainly a misconfiguration of a Kafka cluster. Read on and comment if there's something missing. Thanks!
The WARN message is printed out when the DefaultMetadataUpdater
(of NetworkClient
) is requested to handle a completed metadata response.
[count] partitions have leader brokers without a matching listener, including [partitions]
It is a warning that corresponds to Errors.LISTENER_NOT_FOUND
that has the following default exception text:
There is no listener on the leader broker that matches the listener on which metadata request was processed.
That's on the client side.
Digging deeper you can find that this Errors.LISTENER_NOT_FOUND
is used on a Kafka broker when MetadataCache
is requested to find partition metadata. That's where you can find just before there's this DEBUG message:
Error while fetching metadata for [topicPartition]: listener [listenerName] not found on leader [leaderBrokerId]
Simply turn the DEBUG logging level for kafka.server.MetadataCache
logger and you should see it in the controller broker's logs.
In this particular case, this MetadataCache
is used by a broker (via KafkaApis
) to handle TopicMetadata request where they say:
// In versions 5 and below, we returned LEADER_NOT_AVAILABLE if a matching listener was not found on the leader.
// From version 6 onwards, we return LISTENER_NOT_FOUND to enable diagnosis of configuration errors.
And at that moment, it's clear that the WARN message in question is for a connection on the listenerName.
In my case, when I was debugging the issue, it turned out that I used SSL://:9093
to connect to a Kafka broker while the partition leader was neither available nor configured to listen to the listeners
configuration property.
I used kafka-topics
to review the partition configuration and then reviewed the state of partitions in ZooKeeper.
get /brokers/topics/ssl/partitions/0/state
{"controller_epoch":1,"leader":0,"version":1,"leader_epoch":0,"isr":[0]}
I had -1
for the leader, but the isr
showed a broker that was simply misconfigured. That's why people reported they fixed the issue by restarting their clusters (to get all the brokers up and running) or fixing the broker ID to the one that worked previously.
Solution 3:[3]
[context]
I am trying to run a docker compose with a kafka client using the registry of https://github.com/wurstmeister/kafka-docker I am trying to run a very simple kafka cluster with a single broker and 3 topics with each 1 partition and a replication factor of 1.
this great link explains connectivity for a kafka cluster with one broker, a kafka cluster with several brokers and also notions about the listeners, all using docker, please have a look : https://github.com/wurstmeister/kafka-docker/wiki/Connectivity
[result]
The first time i run docker-compose up --force-recreate --build
, everything runs just fine !
The topics are created automatically using KAFKA_CREATE_TOPICS
and I can use kafka producer and consumer just fine.
list topics : bin/kafka-topics.sh --list --bootstrap-server localhost:9092
producer : bin/kafka-console-producer.sh --broker-list localhost:9092 --topic productadvisor_sales_dev
consumer : bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic productadvisor_sales_dev --from-beginning
After that, everytime I do docker-compose stop
, and relaunch using docker-compose up --force-recreate --build
and try to produce data I get the following error message ...
Error Message :
[2019-09-23 19:41:33,037] WARN [Producer clientId=console-producer] 1 partitions have leader brokers without a matching listener, including [productadvisor_purchase_dev-0] (org.apache.kafka.clients.NetworkClient)
[Answer]
It appears you need to specify the value of KAFKA_BROKER_ID
(=1 for instance) so that the zookeeper doesn't try to create a new broker which can't have a listener because it is binded to the old one.
[Code]
services:
zookeeper:
image: wurstmeister/zookeeper
ports:
- "2181:2181"
kafka:
image: wurstmeister/kafka
ports:
- "9092:9092"
environment:
KAFKA_BROKER_ID: 1
KAFKA_HOST: localhost
KAFKA_PORT: 9092
KAFKA_ADVERTISED_HOST_NAME: localhost
KAFKA_ADVERTISED_PORT: 9092
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_CREATE_TOPICS: "productadvisor_sales_dev:1:1,productadvisor_stock_dev:1:1,productadvisor_purchase_dev:1:1"
depends_on:
- zookeeper
command: [start-kafka.sh]
[Some documentation]
- https://rmoff.net/2018/08/02/kafka-listeners-explained/
- https://www.tutorialspoint.com/apache_kafka/apache_kafka_fundamentals.htm
- http://www.michael-noll.com/blog/2013/03/13/running-a-multi-broker-apache-kafka-cluster-on-a-single-node/
- https://blog.k2datascience.com/running-kafka-using-docker-332207aec73c
NB
if anyone has more information about the inner working of kafka, the zookeeper and the broker and why we need to specify it, why the information is kept even if I do a --force-recreate --build ... please do not hesitate. I am new to kafka and this is one of my first complete post on stackoverflow :)
Cheers !
Solution 4:[4]
In our case, one of broker in the cluster shutdown due to disk problem and we got this error in other replicas. When we solve the disk problem the problem was solved
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | |
Solution 2 | Community |
Solution 3 | |
Solution 4 | c.guzel |