I'm following steps to setup 3 Linux node cluster for ElasticSearch & Kibana using docker-compose. During the process, while running a command "docker-compose -f create-certs.yml run --rm create_certs", gets below output with Error:
Creating network "es-dev_elastic" with driver "overlay"
Creating volume "es-dev_config" with local driver
Pulling create_certs (docker.elastic.co/elasticsearch/elasticsearch:7.17.6)...
Trying to pull repository docker.elastic.co/elasticsearch/elasticsearch ...
7.17.6: Pulling from docker.elastic.co/elasticsearch/elasticsearch
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
<Some-ID>: Pull complete
Digest: sha256:<Some-ID>
Status: Downloaded newer image for docker.elastic.co/elasticsearch/elasticsearch:7.17.6
**ERROR: Cannot create container for service create_certs: failed to mount local volume: mount /mnt/elasticmount/es11/config:/var/lib/docker/volumes/es-dev_config/_data, flags: 0x1000: no such file or directory**
I didn't created any local volume mounts before it. So, if this is the issue
How & where to create & mount the directory in docker?
You want to create 3 nodes of elasticsearch along with kibana if i am not wrong.
Below I am providing a docker-compose file that will help you to create 3 nodes cluster of elasticsearch with kibana.
version: "3"
services:
kibana:
container_name: kibana
image: docker.elastic.co/kibana/kibana:7.16.3
environment:
SERVER_NAME: kibana
ELASTICSEARCH_HOSTS: http://127.0.0.1:9200
ports:
- 127.0.0.1:5601:5601
networks:
- esnet
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.16.3
container_name: elasticsearch
environment:
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "-Des.logger.level=DEBUG"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata1:/usr/share/elasticsearch/data
ports:
- 127.0.0.1:9200:9200
networks:
- esnet
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.16.3
container_name: elasticsearch2
environment:
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "discovery.zen.ping.unicast.hosts=elasticsearch"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata2:/usr/share/elasticsearch/data
networks:
- esnet
elasticsearch3:
image: docker.elastic.co/elasticsearch/elasticsearch:7.16.3
container_name: elasticsearch3
environment:
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "discovery.zen.ping.unicast.hosts=elasticsearch"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata3:/usr/share/elasticsearch/data
networks:
- esnet
volumes:
esdata1:
driver: local
esdata2:
driver: local
esdata3:
driver: local
networks:
esnet:
This will create 3 named volumes (esdata1,esdata2,esdata3) and this volumes will be created at /var/lib/docker/volumes/
Let me know if you face any issues.
Related
I received the following error when attempting to connect Dockerized fscrawler to Dockerized elasticsearch:
[f.p.e.c.f.c.ElasticsearchClientManager] failed to create
elasticsearch client, disabling crawler… [f.p.e.c.f.FsCrawler] Fatal
error received while running the crawler: [Connection refused]
When fscrawler is run for the fist time (i.e., docker-compose run fscrawler) it creates /config/{fscrawer_job}/_settings.yml with the following default setting:
elasticsearch:
nodes:
- url: "http://127.0.0.1:9200"
This will cause fscrawler to attempt to connect to localhost (i.e., 127.0.0.1). However, this will fail when fscrawler is located within a docker container because it is attempting to connect with the localhost of the CONTAINER. This was particularly confusing in my case because elasticsearch WAS accessible as localhost, but on the localhost of my physical computer (and NOT localhost of the container). Changing the url allowed fscrawler to connect to network address where elasticsearch actually resides.
elasticsearch:
nodes:
- url: "http://elasticsearch:9200"
I used the following docker image: https://hub.docker.com/r/toto1310/fscrawler
# FILE: docker-compose.yml
version: '2.2'
services:
# FSCrawler
fscrawler:
image: toto1310/fscrawler
container_name: fscrawler
volumes:
- ${PWD}/config:/root/.fscrawler
- ${PWD}/data:/tmp/es
networks:
- esnet
command: fscrawler job_name
# Elasticsearch Cluster
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.3.2
container_name: elasticsearch
environment:
- node.name=elasticsearch
- discovery.seed_hosts=elasticsearch2
- cluster.initial_master_nodes=elasticsearch,elasticsearch2
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata01:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- esnet
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.3.2
container_name: elasticsearch2
environment:
- node.name=elasticsearch2
- discovery.seed_hosts=elasticsearch
- cluster.initial_master_nodes=elasticsearch,elasticsearch2
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata02:/usr/share/elasticsearch/data
networks:
- esnet
volumes:
esdata01:
driver: local
esdata02:
driver: local
networks:
esnet:
Ran docker-compose up elasticsearch elasticsearch2
to bring up elasticsearch nodes.
Ran docker-compose run fscrawler to create _settings.yml
Edited _settings.yml to
elasticsearch:
nodes:
- url: "http://elasticsearch:9200"
Started fscrawler docker-compose up fscrawler
Unable to pull Elasticsearch and Kibana images by using docker compose.
When I was trying to retry muliple times using docker-compose up cmd, each and every time some of the service are not available, which is unpredictable.
Can somebody please guide me what causing the issue, even the proxy has been set in docker.service.
Please find the attached screenshot, I have also given the docker-compose.yaml file for reference.
Kindly let me know in case of any further information needed.
Docker-compose.yml File
version: '2.2'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.8.0
container_name: elasticsearch
environment:
- node.name=elasticsearch
- discovery.seed_hosts=elasticsearch
- cluster.initial_master_nodes=elasticsearch
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- esdata1:/usr/share/elasticsearch/data
ports:
- 9200:9200
kibana:
image: docker.elastic.co/kibana/kibana:7.8.0
container_name: kibana
environment:
ELASTICSEARCH_URL: "http://elasticsearch:9200"
ports:
- 5601:5601
depends_on:
- elasticsearch
volumes:
esdata1:
driver: local
It was issue with RHEL server trying with multiple times the issue got solved
I'm trying to use Elasticsearch with docker.
And you can see the guide here -> https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
my docker-compose.yml below
version: '2.2'
services:
elasticsearch1:
image: docker.elastic.co/elasticsearch/elasticsearch:7.7.0
container_name: elasticsearch1
environment:
- node.name=master-node
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es-data01:/usr/share/elasticsearch/data
ports:
- 127.0.0.1:9200:9200
- 127.0.0.1:9300:9300
networks:
- elastic
stdin_open: true
tty: true
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.7.0
container_name: elasticsearch2
environment:
- node.name=data-node1
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "discovery.zen.ping.unicast.hosts=elasticsearch1"
ports:
- 127.0.0.1:9301:9300
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es-data02:/usr/share/elasticsearch/data
networks:
- elastic
stdin_open: true
tty: true
volumes:
es-data01:
driver: local
es-data02:
driver: local
networks:
elastic:
# driver: bridge
the problem is
I cannot connect by curl -XGET localhost:9200
docker container exits automatically after few seconds
can you help me?
ps : when I try docker run it works. what is the difference between them?
docker run -d -p 9200:9200 -p 9300:9300 --name elasticsearch -it --rm -v els:/usr/share/elasticsearch/data -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.7.0
Please check the container logs by using docker logs <your stopped container-id>, here you can get the container id using docker ps -a command.
Also please follow this SO answer and set the memory requirements
which would help you run the Elasticsearch in docker. if it doesn't help then provide the logs which you can get as explained earlier.
Based on comments adding the updated docker-compose
version: '2.2'
services:
elasticsearch1:
image: docker.elastic.co/elasticsearch/elasticsearch:7.7.0
container_name: elasticsearch1
environment:
- node.name=master-node
- node.master=true
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "cluster.initial_master_nodes=master-node"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es-data01:/usr/share/elasticsearch/data
ports:
- 127.0.0.1:9200:9200
- 127.0.0.1:9300:9300
networks:
- elastic
stdin_open: true
tty: true
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:7.7.0
container_name: elasticsearch2
environment:
- node.name=data-node1
- node.master=false
- cluster.name=es-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "cluster.initial_master_nodes=master-node"
ports:
- 127.0.0.1:9301:9300
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- es-data02:/usr/share/elasticsearch/data
networks:
- elastic
stdin_open: true
tty: true
volumes:
es-data01:
driver: local
es-data02:
driver: local
networks:
elastic:
# driver: bridge
As you are following this article, https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
worth checking the second section with limits and memory resources as the containers in docker-compose is exiting due to low resources.
Exited with code 137 error is because of resource limitation (usually RAM) on the host machine. You can resolve this problem by adding this line to the environment variables of your docker-compose file:
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
You can read more about heap size settings, on official Elasticsearch documentation, in this link.
I've installed Elastic Search and Kibana using docker image in ubuntu machine and the commands used to run are:
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.5.1
docker run --link 36c0ea06f9e3:elasticsearch -p 5601:5601 docker.elastic.co/kibana/kibana:7.5.1
and it gets successfully run in my local machine.
Now the major concern for me when you try to create a cluster node with one master and slave node, user need to edit the /etc/elasticsearc/elasticsearch.yml.
But in this case (installed using docker image in ubuntu).
No such file or folder is created. Do let me know how can I create a cluster and store data in such case.
You already have part of the solution in your first docker run statement. The docker image of elasticsearch is configured using environment variables. For example your run statement sets the node to single-node mode using the -e "discovery.type=single-node" flag.
A full list of configuration options you can find here.
You may also share the config directory with the host using a host-shared volume:
docker run -p 9200:9200 -p 9300:9300 -v <your-dir>/elasticsearch.yml/:/usr/share/elasticsearch/config/elasticsearch.yml docker.elastic.co/elasticsearch/elasticsearch:7.5.1
This allows you to edit the config at your_dir/elasticsearch.yml directly from your hosts filesystem. Just make sure the config file exists in the specified directory before attempting to start the container.
Not sure if this is useful but here you go
https://blog.patricktriest.com/text-search-docker-elasticsearch/
from is official guide
you can use envirmental varible to pass option to /etc/elasticsearc/elasticsearch.yml
this is sample docker-compose.yml:
version: '2.2'
services:
es01:
image: docker.elastic.co/elasticsearch/elasticsearch:7.5.1
container_name: es01
environment:
- node.name=es01
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es02,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data01:/usr/share/elasticsearch/data
ports:
- 9200:9200
networks:
- elastic
es02:
image: docker.elastic.co/elasticsearch/elasticsearch:7.5.1
container_name: es02
environment:
- node.name=es02
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es03
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data02:/usr/share/elasticsearch/data
networks:
- elastic
es03:
image: docker.elastic.co/elasticsearch/elasticsearch:7.5.1
container_name: es03
environment:
- node.name=es03
- cluster.name=es-docker-cluster
- discovery.seed_hosts=es01,es02
- cluster.initial_master_nodes=es01,es02,es03
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- data03:/usr/share/elasticsearch/data
networks:
- elastic
volumes:
data01:
driver: local
data02:
driver: local
data03:
driver: local
networks:
elastic:
driver: bridge
I have an elasticsearch image that is being used as a base image for multiple containers. I am wondering if there is any way to pre-configure an ingest pipeline such that the process of creating the image and building a container also creates the pipeline for me? It'd be great if the base image comes with the pipeline that i want it to have, otherwise I'd have to docker exec into each container that uses this image and send a curl request in each one to create the pipeline.
Right now I'm thinking that I have to add a curl to the elasticsearch server (after it starts) in docker-entrypoint.sh, but i'm not sure if there's any other way
I can advice you to use docker-compose. I personally find it very convenient. With one file you can configure a whole stack.
Here is an example to help you start:
version: '2.2'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:6.3.2
container_name: elasticsearch
environment:
- cluster.name=docker-cluster
- node.name=node-test1
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- node-test1data:/usr/share/elasticsearch/data
ports:
- 9200:9200
elasticsearch2:
image: docker.elastic.co/elasticsearch/elasticsearch:6.3.2
container_name: elasticsearch2
environment:
- cluster.name=docker-cluster
- node.name=node-test2
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms512m -Xmx512m"
- "discovery.zen.ping.unicast.hosts=elasticsearch"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- node-test2data:/usr/share/elasticsearch/data
kibana:
image: docker.elastic.co/kibana/kibana:6.3.2
container_name: kibana
ports:
- 5601:5601
environment:
ELASTICSEARCH_URL: http://elasticsearch:9200
depends_on:
- elasticsearch
logstash:
image: docker.elastic.co/logstash/logstash:6.3.2
container_name: logstash
ports:
- "5000:5000"
environment:
LS_JAVA_OPTS: "-Xmx256m -Xms256m"
volumes:
- ./logstash/config/logstash.yml:/usr/share/logstash/config/logstash.yml:ro
- ./logstash/pipeline:/usr/share/logstash/pipeline:ro