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Error connecting to Kafka running in docker container

I have configured following Kafka properties for my spring boot based library bundled inside a lib directory of an EAR deployed to Wildfly. I am able to start the spring components successfully by loading the porperty file from classpath (WEB-INF/classes)
spring.autoconfigure.exclude=org.springframework.boot.autoconfigure.gson.GsonAutoConfiguration,org.springframework.boot.autoconfigure.jms.artemis.ArtemisAutoConfiguration,\
org.springframework.boot.autoconfigure.data.web.SpringDataWebAutoConfiguration
spring.kafka.admin.client-id=iris-admin-local
spring.kafka.producer.client-id=iris-producer-local
spring.kafka.producer.retries=3
spring.kafka.producer.properties.max.block.ms=2000
spring.kafka.producer.bootstrap-servers=127.0.0.1:19092
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer
foo.app.kafka.executor.core-pool-size=10
foo.app.kafka.executor.max-pool-size=500
foo.app.kafka.executor.queue-capacity=1000
I run Kafka and zookeeper via docker compose, and the containers are mapped to host ports 12181 and 19092 respectively. The publish fails with the error
19:37:42,914 ERROR [org.springframework.kafka.support.LoggingProducerListener] (swiftalker-3) Exception thrown when sending a message with key='543507' and payload='com.foo.app.kanban.defect.entity.KanbanDefect#84b13' to topic alm_swift-alm:: org.apache.kafka.common.errors.TimeoutException: Topic alm_swift-alm not present in metadata after 2000 ms.
19:37:43,124 WARN [org.apache.kafka.clients.NetworkClient] (kafka-producer-network-thread | iris-producer-local-1) [Producer clientId=iris-producer-local-1] Error connecting to node 6be446692a1f:9092 (id: 1001 rack: null): java.net.UnknownHostException: 6be446692a1f
at java.net.InetAddress.getAllByName0(InetAddress.java:1281)
at java.net.InetAddress.getAllByName(InetAddress.java:1193)
at java.net.InetAddress.getAllByName(InetAddress.java:1127)
at org.apache.kafka.clients.ClientUtils.resolve(ClientUtils.java:110)
at org.apache.kafka.clients.ClusterConnectionStates$NodeConnectionState.currentAddress(ClusterConnectionStates.java:403)
at org.apache.kafka.clients.ClusterConnectionStates$NodeConnectionState.access$200(ClusterConnectionStates.java:363)
at org.apache.kafka.clients.ClusterConnectionStates.currentAddress(ClusterConnectionStates.java:151)
at org.apache.kafka.clients.NetworkClient.initiateConnect(NetworkClient.java:955)
at org.apache.kafka.clients.NetworkClient.access$600(NetworkClient.java:73)
at org.apache.kafka.clients.NetworkClient$DefaultMetadataUpdater.maybeUpdate(NetworkClient.java:1128)
at org.apache.kafka.clients.NetworkClient$DefaultMetadataUpdater.maybeUpdate(NetworkClient.java:1016)
at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:547)
at org.apache.kafka.clients.producer.internals.Sender.runOnce(Sender.java:324)
at org.apache.kafka.clients.producer.internals.Sender.run(Sender.java:239)
at java.lang.Thread.run(Thread.java:748)
Now this is after having provided spring.kafka.producer.bootstrap-servers=127.0.0.1:19092 property. What's interesting though is
CONTAINER ID NAMES PORTS CREATED STATUS
2133c81ed51d mongo 0.0.0.0:23556->27017/tcp, 0.0.0.0:23557->27018/tcp, 0.0.0.0:23558->27019/tcp 29 minutes ago Up 29 minutes
f18b86d8739e kafka-ui 0.0.0.0:18080->8080/tcp 29 minutes ago Up 29 minutes
6be446692a1f kafka 0.0.0.0:19092->9092/tcp 29 minutes ago Up 29 minutes
873304e1e6a0 zookeeper 2181/tcp, 2888/tcp, 3888/tcp, 8080/tcp 29 minutes ago Up 29 minutes
the Wildfly server error logs show the app is actually connecting to the docker container via it's container ID i.e.
6be446692a1f kafka 0.0.0.0:19092->9092/tcp
from the docker ps -a output and
Error connecting to node 6be446692a1f:9092 (id: 1001 rack: null): java.net.UnknownHostException: 6be446692a1f
I'm confused as to how is the spring boot code, despite the config property referring server over localhost and mapped port 19092, is managing to find a docker container on it's ID and default port and then trying to connect to it? How do I fix this?
Update: The docker compose
version: '3'
networks:
app-tier:
driver: bridge
services:
zookeeper:
image: 'docker.io/bitnami/zookeeper:3-debian-10'
container_name: 'zookeeper'
networks:
- app-tier
volumes:
- 'zookeeper_data:/bitnami'
environment:
- ALLOW_ANONYMOUS_LOGIN=yes
kafka:
image: 'docker.io/bitnami/kafka:2-debian-10'
container_name: 'kafka'
ports:
- 19092:9092
networks:
- app-tier
volumes:
- 'kafka_data:/bitnami'
- /var/run/docker.sock:/var/run/docker.sock
environment:
- KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
- ALLOW_PLAINTEXT_LISTENER=yes
depends_on:
- zookeeper
database:
image: 'mongo'
container_name: 'mongo'
environment:
- MONGO_INITDB_DATABASE='swiftalk_db'
networks:
- app-tier
ports:
- 23556-23558:27017-27019
depends_on:
- kafka
kafka-ui:
container_name: kafka-ui
image: provectuslabs/kafka-ui:latest
ports:
- 18080:8080
networks:
- app-tier
volumes:
- 'mongo_data:/data/db'
depends_on:
- kafka
environment:
- KAFKA_CLUSTERS_0_NAME=local
- KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092
- KAFKA_CLUSTERS_0_ZOOKEEPER=zookeeper:2181
volumes:
zookeeper_data:
driver: local
kafka_data:
driver: local
mongo_data:
driver: local

You've not shared your Docker Compose so I can't give you the specific fix to make, but in essence you need to configure your advertised listeners correctly. This is the value that the broker provides to the client telling it where to find it when it makes subsequent connections.
Details: https://www.confluent.io/blog/kafka-client-cannot-connect-to-broker-on-aws-on-docker-etc/

Cannot run or connect Portgresql container on Docker

In my Windows 10 machine I have a Java app and create Postgresql images on Docker using the following configuration:
docker-compose.yml:*
version: '2.0'
services:
postgresql:
image: postgres:11
ports:
- "5432:5432"
expose:
- "5432"
environment:
- POSTGRES_USER=demo
- POSTGRES_PASSWORD=******
- POSTGRES_DB=demo_test
And I use the following command to compose images:
cd postgresql
docker-compose up -d
Although pgadmin container is working on Docker, postgres container is generally restarting state and sometines seems to be running state for a second. When I look at that container log, I see I encounter the following errors:
2021-03-16 09:00:18.526 UTC [82] FATAL: data directory "/data/postgres" has wrong ownership
2021-03-16 09:00:18.526 UTC [82] HINT: The server must be started by the user that owns the data directory.
child process exited with exit code 1
*initdb: removing contents of data directory "/data/postgres"
running bootstrap script ... The files belonging to this database system will be owned by user "postgres".
This user must also own the server process.
I have tried to apply several workaround suggestions e.g. PostgreSQL with docker ownership issue, but none of them is working. So, how can I fix this problem?
Update: Here is last status of my docker-compoese.yml file:
version: '2.0'
services:
postgresql:
image: postgres:11
container_name: "my-pg"
ports:
- "5432:5432"
expose:
- "5432"
environment:
- POSTGRES_USER=demo
- POSTGRES_PASSWORD=******
- POSTGRES_DB=demo_test
volumes:
- psql:/var/lib/postgresql/data
volumes:
psql:

As I already stated in my comment I'd suggest using a named volume.
Here's my docker-compose.yml for Postgres 12:
version: "3"
services:
postgres:
image: "postgres:12"
container_name: "my-pg"
ports:
- 5432:5432
environment:
POSTGRES_USER: "postgres"
POSTGRES_PASSWORD: "postgres"
POSTGRES_DB: "mydb"
volumes:
- psql:/var/lib/postgresql/data
volumes:
psql:
Then I created the psql volume via docker volume create psql (so just a volume without any actual path mapping).

Cannot produce kafka message on kubernetes

I'm getting error on kafka: [2020-05-04 12:46:59,477] ERROR [KafkaApi-1001] Number of alive brokers '0' does not meet the required replication factor '1' for the offsets topic (configured via 'offsets.topic.replication.factor'). This error can be ignored if the cluster is starting up and not all brokers are up yet. (kafka.server.KafkaApis)
And error when I'm trying to produce message: 2020-05-04 12:47:45.221 WARN 1 --- [ad | producer-1] org.apache.kafka.clients.NetworkClient : [Producer clientId=producer-1] Error while fetching metadata with correlation id 10 : {activate-user=LEADER_NOT_AVAILABLE}
Using docker-compose everything works fine but I'm trying to move it also to k8s. I started that process with kompose convert tool and modify the output.
Here is a fragment of the docker-compse:
zookeeper:
container_name: zookeeper
image: wurstmeister/zookeeper:latest
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ports:
- "2181:2181"
mail-sender-kafka:
container_name: mail-sender-kafka
image: wurstmeister/kafka:2.12-2.2.1
environment:
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_ADVERTISED_HOST_NAME: mail-sender-kafka
KAFKA_CREATE_TOPICS: "activate-user:1:1"
ports:
- 9092:9092
depends_on:
- zookeeper
account-service:
image: szastarek/food-delivery-account-service:${TAG}
container_name: account-service
environment:
- KAFKA_URI=mail-sender-kafka:9092
depends_on:
- config-server
- account-service-db
mail-sender:
image: szastarek/food-delivery-mail-sender:${TAG}
container_name: mail-sender
environment:
- KAFKA_URI=mail-sender-kafka:9092
depends_on:
- config-server
After converting it to k8s I've got zookeeper-deployment, zookeeper-service, mail-sender-deployment, mail-sender-kafka-deployment, mail-sender-kafka-service.
I've also tried to add some env variables and for now, it looks like that:
spec:
containers:
- env:
- name: KAFKA_ADVERTISED_HOST_NAME
value: mail-sender-kafka
- name: KAFKA_ADVERTISED_PORT
value: '9092'
- name: ADVERTISED_LISTENERS
value: PLAINTEXT://mail-sender-kafka:9092
- name: KAFKA_CREATE_TOPICS
value: activate-user:1:1
- name: KAFKA_ZOOKEEPER_CONNECT
value: zookeeper:2181
I've found one thing that probably is connected with the problem.
When I run ping mail-sender-kafka on docker I can reach myself. But if I connect to kubernetes mail-sender-kafka pod then I cannot ping myself.
After update the hosts file it works. There was something like:
172.18.0.24 mail-sender-kafka-xxxxxxx
And I changed it to
172.18.0.24 mail-sender-kafka
Any tips about how should I fix it?

pio train fails with IOException: Connection reset by peer

I've done a setup of predictionIO v0.13 on my linux machine in docker (running in swarm mode). This setup includes:
one container for pio v0.13
one container for elasticsearch v5.6.4
one container for mysql v8.0.16
one container for spark-master v2.3.2
one container for spark-worker v2.3.2
The template I am using is the ecomm-recommender-java, modified for my data. I don't know if I made an error with the template or with the docker setup, but there is something really wrong:
pio build succeeds
pio train fails - with
Exception in thread "main" java.io.IOException: Connection reset by peer
Because of this, I put a lot of logging into my template for various points, and this is what I found:
The train fails after the model is computed. I am using a custom Model class, for holding the logistic-regression model and the various user and product indices.
The model is a PersistentModel. In the save method I put logging after every step. Those are logged, and I can find the saved results in the mounted docker volume, so it seems like the save also succeeds, but after that I get the following exception:
[INFO] [Model] saving user index
[INFO] [Model] saving product index
[INFO] [Model] save done
[INFO] [AbstractConnector] Stopped Spark#20229b7d{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
Exception in thread "main" java.io.IOException: Connection reset by peer
at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
at sun.nio.ch.IOUtil.read(IOUtil.java:197)
at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:380)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.SessionInputBufferImpl.fill(SessionInputBufferImpl.java:204)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.codecs.AbstractMessageParser.fillBuffer(AbstractMessageParser.java:136)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.DefaultNHttpClientConnection.consumeInput(DefaultNHttpClientConnection.java:241)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.client.InternalIODispatch.onInputReady(InternalIODispatch.java:81)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.client.InternalIODispatch.onInputReady(InternalIODispatch.java:39)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.AbstractIODispatch.inputReady(AbstractIODispatch.java:114)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.BaseIOReactor.readable(BaseIOReactor.java:162)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.AbstractIOReactor.processEvent(AbstractIOReactor.java:337)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.AbstractIOReactor.processEvents(AbstractIOReactor.java:315)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.AbstractIOReactor.execute(AbstractIOReactor.java:276)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.BaseIOReactor.execute(BaseIOReactor.java:104)
at org.apache.predictionio.shaded.org.apache.http.impl.nio.reactor.AbstractMultiworkerIOReactor$Worker.run(AbstractMultiworkerIOReactor.java:588)
at java.lang.Thread.run(Thread.java:748)
I couldn't find any more relevant in any of the logs, but that's a possibility that I overlooked something.
I tried to play with the train parameters like so:
pio-docker train -- --master local[3] --driver-memory 4g --executor-memory 10g --verbose --num-executors 3
playing with the spark modes (i.e.: --master local[1-3], and not providing that to use the instances in the docker containers)
played with the --driver-memory (from 4g to 10g)
played with the --executor-memory (also from 4g to 10g)
played with the --num-executors number (from 1 to 3)
As most of the google search results are suggested these.
My main problem here is that I don't know from where this exception is coming and how to discover it.
Here is the save and method, which could be relevant:
public boolean save(String id, AlgorithmParams algorithmParams, SparkContext sparkContext) {
try {
logger.info("saving logistic regression model");
logisticRegressionModel.save("/templates/" + id + "/lrm");
logger.info("creating java spark context");
JavaSparkContext jsc = JavaSparkContext.fromSparkContext(sparkContext);
logger.info("saving user index");
userIdIndex.saveAsObjectFile("/templates/" + id + "/indices/user");
logger.info("saving product index");
productIdIndex.saveAsObjectFile("/templates/" + id + "/indices/product");
logger.info("save done");
} catch (IOException e) {
e.printStackTrace();
}
return true;
}
The hardcoded /templates/ is the docker-mounted volume for pio and for spark also.
Expected result is: train completes without error.
I am happy to share more details if necessary, please ask for them, as I am not sure what could be helpful here.
EDIT1: Including docker-compose.yml
version: '3'
networks:
mynet:
driver: overlay
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:5.6.4
environment:
- xpack.graph.enabled=false
- xpack.ml.enabled=false
- xpack.monitoring.enabled=false
- xpack.security.enabled=false
- xpack.watcher.enabled=false
- cluster.name=predictionio
- bootstrap.memory_lock=false
- "ES_JAVA_OPTS=-Xms1g -Xmx1g"
volumes:
- pio-elasticsearch-data:/usr/share/elasticsearch/data
deploy:
replicas: 1
networks:
- mynet
mysql:
image: mysql:8
command: mysqld --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
environment:
MYSQL_ROOT_PASSWORD: somepass
MYSQL_USER: someuser
MYSQL_PASSWORD: someotherpass
MYSQL_DATABASE: pio
volumes:
- pio-mysql-data:/var/lib/mysql
deploy:
replicas: 1
networks:
- mynet
spark-master:
image: bde2020/spark-master:2.3.2-hadoop2.7
ports:
- "8080:8080"
- "7077:7077"
volumes:
- ./templates:/templates
environment:
- INIT_DAEMON_STEP=setup_spark
deploy:
replicas: 1
networks:
- mynet
spark-worker:
image: bde2020/spark-worker:2.3.2-hadoop2.7
depends_on:
- spark-master
ports:
- "8081:8081"
volumes:
- ./templates:/templates
environment:
- "SPARK_MASTER=spark://spark-master:7077"
deploy:
replicas: 1
networks:
- mynet
pio:
image: tamassoltesz/pio0.13-spark.230:1
ports:
- 7070:7070
- 8000:8000
volumes:
- ./templates:/templates
dns: 8.8.8.8
depends_on:
- mysql
- elasticsearch
- spark-master
environment:
PIO_STORAGE_SOURCES_MYSQL_TYPE: jdbc
PIO_STORAGE_SOURCES_MYSQL_URL: "jdbc:mysql://mysql/pio"
PIO_STORAGE_SOURCES_MYSQL_USERNAME: someuser
PIO_STORAGE_SOURCES_MYSQL_PASSWORD: someuser
PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME: pio_event
PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURCE: MYSQL
PIO_STORAGE_REPOSITORIES_MODELDATA_NAME: pio_model
PIO_STORAGE_REPOSITORIES_MODELDATA_SOURCE: MYSQL
PIO_STORAGE_SOURCES_ELASTICSEARCH_TYPE: elasticsearch
PIO_STORAGE_SOURCES_ELASTICSEARCH_HOSTS: predictionio_elasticsearch
PIO_STORAGE_SOURCES_ELASTICSEARCH_PORTS: 9200
PIO_STORAGE_SOURCES_ELASTICSEARCH_SCHEMES: http
PIO_STORAGE_REPOSITORIES_METADATA_NAME: pio_meta
PIO_STORAGE_REPOSITORIES_METADATA_SOURCE: ELASTICSEARCH
MASTER: spark://spark-master:7077 #spark master
deploy:
replicas: 1
networks:
- mynet
volumes:
pio-elasticsearch-data:
pio-mysql-data:

I found out what the issue is: somehow the connection to elasticsearch is lost during the long-running train. This is a docker issue, not a predictionIO issue. For now, I "solved" this by not using elasticsearch at all.
Another thing I was not aware of: it does matter where you put your --verbose in the command. Providing it in the way I did originally (like pio train -- --driver-memory 4g --verbose) has no/little effect on the verbosity of the logging. The right way to do so is pio train --verbose -- --driver-memory 4g, so before the --. This way I got much more log, from which the origin of the issue became clear.

Dockerized Spring Boot microservice freeze without reason

I have a microservices based project. Each microservice is a Spring Boot (v.2.0.0-RC2) app. I have also a discovery, config and gateway microservices based on Spring Cloud (Finchley). The whole system is deployed on test machine using Docker Compose.
I realized that one of the microservices freezes after receiving several subsequent requests from frontend app, in a short period of time. After this, it becomes unresponsive for further requests, and I receive read timeout from my gateway. The same occurs when calling this microservice directly, bypassing the gateway.
I have a spring boot admin instance, and I realized the microservice goes offline and online again every 5 minutes. Despite of that, nothing interesting occurs in logs. No memory issues observed.
Next remark: this problem occurs only when I start all system from docker compose in same time. When I restart this single microservice, I can't reproduce it anymore.
And the last: the whole container of the microservice seems to be freezed. When I do 'docker stop' on it, the terminal hangs up, but after checking the container status in another terminal, the container appears as 'exited'. A very strange thing occured, when I did 'docker attach' on the container. The terminal also hung up and when I exited from it, my problematic microservice started to work properly and accepts incoming request with success.
Can anyone help me with this strange problem ? I have really no more ideas, what can I try to resolve it.
Thanks in advance for any clue.
EDIT
docker-compose.yml
version: '3.4'
services:
config-service:
image: im/config-service
container_name: config-service
environment:
- SPRING_PROFILES_ACTIVE=native
volumes:
- ~/production-logs:/logs
discovery-service:
image: im/discovery-service
container_name: discovery-service
environment:
- SPRING_PROFILES_ACTIVE=production
volumes:
- ~/production-logs:/logs
gateway-service:
image: im/gateway-service
container_name: gateway-service
ports:
- "8080:8080"
depends_on:
- config-service
- discovery-service
environment:
- SPRING_PROFILES_ACTIVE=production
volumes:
- ~/production-logs:/logs
car-service_db:
image: postgres:9.5
container_name: car-service_db
environment:
- POSTGRES_DB=car
- POSTGRES_USER=user
- POSTGRES_PASSWORD=pass
car-service:
image: im/car-service
container_name: car-service
depends_on:
- config-service
- discovery-service
- car-service_db
environment:
- SPRING_PROFILES_ACTIVE=production
- CAR_SERVICE_DB_URL=jdbc:postgresql://car-service_db:5432/car
- CAR_SERVICE_DB_USER=user
- CAR_SERVICE_DB_PASSWORD=pass
volumes:
- ~/production-logs:/logs
Dockerfile of car-service
FROM openjdk:8-jdk-alpine
VOLUME /tmp
EXPOSE 9005
ARG JAR_FILE
ADD ${JAR_FILE} app.jar
ENV JAVA_OPTS="-agentlib:jdwp=transport=dt_socket,address=8001,server=y,suspend=n"
ENTRYPOINT ["sh", "-c", "java $JAVA_OPTS -Djava.security.egd=file:/dev/./urandom -jar /app.jar"]
Command used to start up
docker-compose up
Test machine:
Ubuntu Server 16.04 LTS

RESOLVED
The cause was logging aspect. I realized a lot of threads waiting on:
sun.misc.Unsafe.park(Unsafe.java:-2) native
java.util.concurrent.locks.LockSupport.park(LockSupport.java:175)
java.util.concurrent.locks.AbstractQueuedSynchronizer.parkAndCheckInterrupt(AbstractQueuedSynchronizer.java:836)
java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireQueued(AbstractQueuedSynchronizer.java:870)
java.util.concurrent.locks.AbstractQueuedSynchronizer.acquire(AbstractQueuedSynchronizer.java:1199)
java.util.concurrent.locks.ReentrantLock$NonfairSync.lock(ReentrantLock.java:209)
java.util.concurrent.locks.ReentrantLock.lock(ReentrantLock.java:285)
ch.qos.logback.core.OutputStreamAppender.writeBytes(OutputStreamAppender.java:197)
ch.qos.logback.core.OutputStreamAppender.subAppend(OutputStreamAppender.java:231)
ch.qos.logback.core.OutputStreamAppender.append(OutputStreamAppender.java:102)
ch.qos.logback.core.UnsynchronizedAppenderBase.doAppend(UnsynchronizedAppenderBase.java:84)
ch.qos.logback.core.spi.AppenderAttachableImpl.appendLoopOnAppenders(AppenderAttachableImpl.java:51)
ch.qos.logback.classic.Logger.appendLoopOnAppenders(Logger.java:270)
ch.qos.logback.classic.Logger.callAppenders(Logger.java:257)
ch.qos.logback.classic.Logger.buildLoggingEventAndAppend(Logger.java:421)
ch.qos.logback.classic.Logger.filterAndLog_2(Logger.java:414)
ch.qos.logback.classic.Logger.debug(Logger.java:490)