OpenSearch is a community-driven, open-source search and analytics suite derived from Elasticsearch and Kibana. It’s designed for horizontal scalability, reliability, and real-time search capabilities, making it a powerful tool for managing large volumes of data. Deploying OpenSearch using Docker Compose simplifies the setup process, enabling developers and system administrators to quickly set up a search cluster for development, testing, or production environments. This guide will walk you through deploying OpenSearch and OpenSearch Dashboards using Docker Compose.
Prerequisites
Before you start, ensure you have:
- Docker installed on your system.
- Docker Compose installed on your system.
- Basic knowledge of Docker, Docker Compose, and YAML syntax.
Step 1: Create a Docker Compose File
Create a new directory for your OpenSearch project. This directory will contain your Docker Compose file (docker-compose.yml
) and any additional configuration files or scripts you might need.
mkdir opensearch-docker && cd opensearch-docker
Create the docker-compose.yml
file:
touch docker-compose.yml
Open this file in a text editor and add the following configuration:
version: '3.7'
services:
opensearch:
image: opensearchproject/opensearch:latest
container_name: opensearch
environment:
- cluster.name=opensearch-cluster
- node.name=opensearch-node1
- discovery.seed_hosts=opensearch
- cluster.initial_master_nodes=opensearch-node1
- bootstrap.memory_lock=true
- "OPENSEARCH_JAVA_OPTS=-Xms512m -Xmx512m"
ulimits:
memlock:
soft: -1
hard: -1
volumes:
- opensearch-data:/usr/share/opensearch/data
ports:
- "9200:9200"
- "9300:9300"
networks:
- opensearch-net
opensearch-dashboards:
image: opensearchproject/opensearch-dashboards:latest
container_name: opensearch-dashboards
ports:
- "5601:5601"
expose:
- "5601"
environment:
- OPENSEARCH_HOSTS=http://opensearch:9200
networks:
- opensearch-net
volumes:
opensearch-data:
networks:
opensearch-net:
Configuration Details:
- OpenSearch service: Configures an OpenSearch node with essential settings for cluster name, node name, initial master nodes, and memory settings. It also sets
ulimits
for memory lock. - OpenSearch Dashboards service: Sets up OpenSearch Dashboards to connect to your OpenSearch cluster at
http://opensearch:9200
. - Volumes: Uses a named volume (
opensearch-data
) to persist OpenSearch data. - Networks: Defines a custom network (
opensearch-net
) for inter-service communication within Docker.
Step 2: Launch the OpenSearch Cluster
With your docker-compose.yml
file ready, start the OpenSearch cluster by running:
docker compose up -d
This command pulls the necessary Docker images and starts the OpenSearch and OpenSearch Dashboards containers in detached mode.
Step 3: Verify the Deployment
After the services start, verify that OpenSearch is running correctly by querying the cluster status:
curl http://localhost:9200/_cluster/health?pretty
This command should return a JSON response with the cluster health status.
Similarly, ensure OpenSearch Dashboards is accessible by navigating to http://localhost:5601
in a web browser. You should see the OpenSearch Dashboards interface, where you can explore your data.
Step 4: Configuring OpenSearch (Optional)
You’ll likely need to customize your OpenSearch configuration further for production environments. You can do this by mounting a custom opensearch.yml
file into your container:
volumes:
- ./config/opensearch.yml:/usr/share/opensearch/config/opensearch.yml
Ensure you create the config
directory and the opensearch.yml
file with your desired configurations.
Conclusion
Deploying OpenSearch with Docker Compose offers a straightforward method for setting up a powerful search and analytics environment. Following the steps outlined in this guide, you can quickly get an OpenSearch cluster up and running, ready for development, testing, or production use. Docker Compose simplifies the management of OpenSearch and OpenSearch Dashboard services, making it easy to scale and maintain your search infrastructure.
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