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How to Use Elasticsearch on Docker

How to Use Elasticsearch on Docker

Elasticsearch is a highly scalable open-source search engine that is used to store, search, and analyze large volumes of data quickly and in real-time. It is widely used by many organizations to power their search, logging, and analytics applications. Docker, on the other hand, is a platform that makes it easy to develop, deploy, and run applications using containerization. In this article, we will explore how to use Elasticsearch on Docker.

Step 1: Install Docker

Before we can start using Elasticsearch on Docker, we need to have Docker installed on our system. Docker provides installation packages for all major operating systems, including Windows, macOS, and Linux. To install Docker, follow the instructions provided on the official Docker website.

Step 2: Pull the Elasticsearch Image

Once Docker is installed, the next step is to pull the Elasticsearch image from Docker Hub. To do this, open a terminal or command prompt and type the following command:

docker pull elasticsearch

This will download the latest version of the Elasticsearch image from Docker Hub.

Step 3: Run Elasticsearch on Docker

Now that we have the Elasticsearch image, we can run it as a container using the following command:

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch

This command runs Elasticsearch as a container and maps the container's port 9200 to the host's port 9200 and port 9300 to the host's port 9300. It also sets the discovery type to "single-node" to indicate that we are running a single Elasticsearch node.

Step 4: Test Elasticsearch

To test that Elasticsearch is running correctly, open a web browser and go to http://localhost:9200. This should display a JSON response containing information about the Elasticsearch cluster, such as its name and version.

Step 5: Use Elasticsearch

Now that Elasticsearch is up and running on Docker, we can start using it to store and search data. Elasticsearch provides a RESTful API that can be used to perform various operations, such as indexing and searching data.

For example, to index a document in Elasticsearch, we can use the following command:

curl -X PUT "localhost:9200/my_index/_doc/1" -H 'Content-Type: application/json' -d'
"title": "My Document",
"content": "This is my document."

This will index a document with the title "My Document" and content "This is my document" in the "my_index" index.

To search for documents in Elasticsearch, we can use the following command:

curl -X GET "localhost:9200/my_index/_search?q=title:Document"

This will search for documents in the "my_index" index that have the word "Document" in their title.

In this article, we have explored how to use Elasticsearch on Docker. We have covered the steps required to install Docker, pull the Elasticsearch image, run Elasticsearch on Docker, test Elasticsearch, and use Elasticsearch to store and search data. Elasticsearch and Docker are powerful tools that can be used together to provide a scalable and efficient search engine.

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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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