Elasticsearch in Laradock

dendihandian profile image Dendi Handian Updated on ・3 min read

I have demonstrated how to run elasticsearch (also kibana & logstash) using docker in ELK Stack Local Development using Docker. So basically we just do the same way using Laradock, but I will give more in-depth in this post.


You have run any laradock service/container before. If not then start here.

Run the elasticsearch container

Go to your laradock directory using CLI and execute:

docker-compose up -d elasticsearch
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When you check the container status using docker-compose ps, I hope the result is similar to this:

           Name                          Command               State                                  Ports
laradock_docker-in-docker_1   dockerd-entrypoint.sh            Up      2375/tcp, 2376/tcp
laradock_elasticsearch_1      /usr/local/bin/docker-entr ...   Up>9200/tcp,>9300/tcp
laradock_php-fpm_1            docker-php-entrypoint php-fpm    Up      9000/tcp
laradock_workspace_1          /sbin/my_init                    Up>22/tcp,>8000/tcp,>8080/tcp
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And if you check the resource used by the container using docker stats, you probably have the same result as mine:

CONTAINER ID        NAME                          CPU %               MEM USAGE / LIMIT     MEM %               NET I/O             BLOCK I/O           PIDS
e4ff663e300c        laradock_elasticsearch_1      0.34%               783.6MiB / 3.846GiB   19.90%              2.15kB / 0B         241MB / 422kB       55  
33f5234ad041        laradock_php-fpm_1            0.00%               9.578MiB / 3.846GiB   0.24%               1.01kB / 0B         13.1MB / 0B         3   
2d14b2b770aa        laradock_workspace_1          0.00%               8.832MiB / 3.846GiB   0.22%               2.81kB / 0B         778kB / 57.3kB      6   
94caba28a367        laradock_docker-in-docker_1   0.37%               20.11MiB / 3.846GiB   0.51%               1.8kB / 0B          22.2MB / 1.01MB     22
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I use 4GB memory allocation for my Linux-based virtual machine in my Docker Desktop (Windows). Elasticsearch is taking 20% of 3.84GB available memory. The amount of resource is taken in large by the container, imagine if you also run kibana and logstash that has the same amount, the total resources taken will be 60%. So please consider the allocation in your machine or your production server in the future.

Accessing the Elasticsearch

If you accessing the service from the outside laradock environment, such as Postman Desktop application or any PHP application configured outside laradock (e.g PHP application using WAMP), the full address is http://localhost:9200. Here is the result using postman:




If you accessing the service inside the laradock environment, such as using curl in workspace container, the full address is elasticsearch:9200. Here is the result using curl inside workspace container:

laradock@2d14b2b770aa:/var/www$ curl elasticsearch:9200
  "name" : "laradock-node",
  "cluster_name" : "laradock-cluster",
  "cluster_uuid" : "3juGQWtJTa2L7yYBKnfh-g",
  "version" : {
    "number" : "7.5.1",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "3ae9ac9a93c95bd0cdc054951cf95d88e1e18d96",
    "build_date" : "2019-12-16T22:57:37.835892Z",
    "build_snapshot" : false,
    "lucene_version" : "8.3.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"     
  "tagline" : "You Know, for Search"
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Working with Laravel and Elasticsearch

I will find the available package for wrapping the elasticsearch and laravel that actually works and do the demo here.

Have fun experimenting with elasticsearch in laradock!

versions used:
 - laradock ELK_VERSION=7.5.1
 - Postman Desktop: Postman v7.21.1
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