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How to Install and Configure Elasticsearch on Debian

Edited 3 weeks ago by ExtremeHow Editorial Team

DebianElasticsearchDatabaseServer SetupSearch EngineLinuxOpen SourceSystem AdministrationCLIIT

How to Install and Configure Elasticsearch on Debian

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Elasticsearch is a popular open-source search and analytics engine that helps you store, search, and analyze large amounts of data quickly. It is widely used for its speed and scalability. In this guide, we will go through the detailed steps to install and configure Elasticsearch on a Debian-based system.

Prerequisites

Before we begin the installation and configuration of Elasticsearch, make sure you have the following:

Step 1: Update system packages

First you need to update your system's package index. This will ensure that you are downloading the latest packages and dependencies.

sudo apt-get update

Step 2: Install Java

ElasticSearch is built using Java, so it requires the installation of the Java Development Kit (JDK) on the system. You can install the default JDK package by running the following:

sudo apt-get install default-jdk

To verify the installation, you can check the Java version:

java -version

The command will display the Java version installed on your system.

Step 3: Import the Elasticsearch public GPG key

Elasticsearch requires you to import the GPG key which is used to verify downloaded packages. You can download the key using the `curl` command:

curl -fsSL https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add -

Step 4: Add the Elasticsearch repository

Next, we need to add the Elasticsearch APT repository to the sources list. Open the terminal and run the following command:

echo 'deb https://artifacts.elastic.co/packages/7.x/apt stable main' | sudo tee -a /etc/apt/sources.list.d/elastic-7.x.list

This command adds the Elasticsearch repository to the system sources list, which allows you to install it with a package manager.

Step 5: Install Elasticsearch

After adding the repository, you can install Elasticsearch using the APT package manager:

sudo apt-get update
sudo apt-get install elasticsearch

After the installation is complete, do not start Elasticsearch yet. We will need to do some configuration first.

Step 6: Configure Elasticsearch

Elasticsearch configuration files are located in the /etc/elasticsearch directory. The main configuration file is elasticsearch.yml. You will want to modify this file according to the specific needs of your system and use case.

Open the configuration file:

sudo nano /etc/elasticsearch/elasticsearch.yml

By default, Elasticsearch is configured to use localhost (127.0.0.1) and the default port 9200. You can start and test Elasticsearch with the default settings. However, it is important to modify the configuration to increase security, especially if it will be used in a production environment.

Basic configuration parameters:

Save and close the file after making the necessary changes.

Step 7: Start and enable the Elasticsearch service

Once Elasticsearch is installed and configured, you can start the Elasticsearch service. Use the following command:

sudo systemctl start elasticsearch

Enable the service to start automatically at boot:

sudo systemctl enable elasticsearch

Check the status of Elasticsearch to make sure it is running properly:

sudo systemctl status elasticsearch

Step 8: Test the Elasticsearch installation

To verify that Elasticsearch is working correctly, you can query the Elasticsearch default endpoint using curl:

curl -X GET "localhost:9200"

The command should return a response with some details about your Elasticsearch node.

Step 9: Securing Elasticsearch

Elasticsearch does not have built-in security features enabled by default. Therefore, it is important to secure your Elasticsearch instance. Here are some general security tips:

Conclusion

In this comprehensive guide, we have explained the steps required to install and configure Elasticsearch on a Debian-based system. By ensuring that Elasticsearch is configured correctly and securely, you take the first step towards using it for more complex data management and exploration tasks. Consider using additional Elasticsearch features such as Kibana for visualization or Logstash for data processing to further enhance your data analysis capabilities.

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