How to Install Elasticsearch 8 on Ubuntu 22.04 LTS

Elasticsearch is a highly scalable open-source full-text search and analytics engine. The software supports RESTful operations that allow you to store, search, and analyze significant volumes of data quickly and in near real-time. Elasticsearch is well-liked and popular amongst sysadmins and developers as it is a mighty search engine based on the Lucene library. The underlying engine/technology generally powers applications with complex search features and requirements.

In the following tutorial, you will learn how to install Elasticsearch 8.x on Ubuntu 22.04 LTS Jammy Jellyfish by importing the official APT repository and installing the latest up-to-date version using the command line console. Also, the tutorial will cover some common commands.

Install Required Packages

The following packages must install and use Elasticsearch; ensure these are installed using the following command.

sudo apt install curl wget apt-transport-https default-jdk gnupg -y

Import Elastic Search Repository

Elasticsearch is not available in the default Ubuntu 22.04 repository, so you need to install it from the Elasticsearch APT repository.

Before adding the repository, import the GPG key with the following command:

wget -qO - | sudo gpg --dearmor -o /usr/share/keyrings/elasticsearch-keyring.gpg

Now that you have added the GPG key import the repository as follows.

echo "deb [signed-by=/usr/share/keyrings/elasticsearch-keyring.gpg] stable main" | sudo tee /etc/apt/sources.list.d/elastic-8.x.list

Install Elasticsearch 8

At the time of the tutorial being created, Elasticsearch 8.2 is the latest version but will change in time, and the repository you added will work for any 8.x versions in the future.

First, update your repository list and install Elasticsearch as follows.

sudo apt update

Next, run the following command to install Elasticsearch.

sudo apt install elasticsearch -y

By default, the Elasticsearch service is disabled on boot and not active. To start the service and enable it on system boot, type the following (systemctl) command:

sudo systemctl enable elasticsearch.service --now

How to Configure Elasticsearch 8

Elasticsearch data is stored in the default directory location (/var/lib/elasticsearch). To view or edit the configuration files, you can find them in the directory location (/etc/elasticsearch), and java start-up options can be configured in the (/etc/default/elasticsearch) configuration file.

The default settings are fine for single operating servers as Elasticsearch runs on localhost only. However, if you are going to set up a cluster, you will need to modify the configuration file to allow remote connections.

Set up Remote Access (Optional)

By default, Elasticsearch listens only to localhost. To change this, open up the configuration file as follows:

sudo nano /etc/elasticsearch/elasticsearch.yml

Next, scroll down and find the Network section and uncomment (#) the following line and replace it with the Internal Private IP address or External IP address.


How to Install Elasticsearch 8 on Ubuntu 22.04 LTS

In the example, you can configure it to an Internal Private IP address. For security purposes, it is ideal to specify addresses.

Next, save the configuration file (CTRL+O) and exit (CLTR+X).

You will need to restart the Elasticsearch service with the following command for changes to take effect:

sudo systemctl restart elasticsearch

Configure UFW Firewall to allow Remote Connections

If you allow remote connections, you will need to allow your firewall to allow those IP addresses to connect. This can be done with the following command:

sudo ufw allow from <IP Address> to any port 9200

Example Commands with Elasticsearch 8

To use Elasticsearch using the curl command is a straightforward process. Below are some of the most commonly used:

Delete index

Below the index is named samples.

curl -X DELETE 'http://localhost:9200/samples'

List all indexes

curl -X GET 'http://localhost:9200/_cat/indices?v'

List all docs in the index

curl -X GET 'http://localhost:9200/sample/_search'

Query using URL parameters

Here we use Lucene query format to write q=school:Harvard.

curl -X GET http://localhost:9200/samples/_search?q=school:Harvard

Query with JSON aka Elasticsearch Query DSL

You can query using parameters on the URL. But you can also use JSON, as shown in the following example. JSON would be easier to read and debug when you have a complex query than one giant string of URL parameters.

curl -XGET --header 'Content-Type: application/json' http://localhost:9200/samples/_search -d '{
      "query" : {
        "match" : { "school": "Harvard" }

List index mapping

All Elasticsearch fields are indexes. So this lists all fields and their types in an index.

curl -X GET http://localhost:9200/samples

Add Data

curl -XPUT --header 'Content-Type: application/json' http://localhost:9200/samples/_doc/1 -d '{
   "school" : "Harvard"			

Update Doc

Here is how to add fields to an existing document. First, we create a new one, and then we update it.

curl -XPUT --header 'Content-Type: application/json' http://localhost:9200/samples/_doc/2 -d '
    "school": "Clemson"

curl -XPOST --header 'Content-Type: application/json' http://localhost:9200/samples/_doc/2/_update -d '{
"doc" : {
               "students": 50000}

Backup index

curl -XPOST --header 'Content-Type: application/json' http://localhost:9200/_reindex -d '{
  "source": {
    "index": "samples"
  "dest": {
    "index": "samples_backup"

Bulk load data in JSON format

export pwd="elastic:"

curl --user $pwd  -H 'Content-Type: application/x-ndjson' -XPOST '' --data-binary @<file>

Show cluster health

curl --user $pwd  -H 'Content-Type: application/json' -XGET

Aggregation and Bucket Aggregation

For an Nginx web server, this produces web hit counts by user city:

curl -XGET --user $pwd --header 'Content-Type: application/json' -d '{
        "aggs": {
             "cityName": {
                    "terms": {
                     "field": "geoip.city_name.keyword",
                                "size": 50


This expands that to product response code count by the city in an Nginx web server log

curl -XGET --user $pwd --header 'Content-Type: application/json' -d '{
        "aggs": {
          "city": {
                "terms": {
                        "field": "geoip.city_name.keyword"
        "aggs": {
          "responses": {
                "terms": {
                     "field": "response"
      "responses": {
                "terms": {
                     "field": "response"

Using ElasticSearch with Basic Authentication

If you have turned on security with ElasticSearch, then you need to supply the user and password as shown below to every curl command:

curl -X GET 'http://localhost:9200/_cat/indices?v' -u elastic:(password)

Pretty Print

Add ?pretty=true to any search to pretty-print the JSON. Like this:

 curl -X GET 'http://localhost:9200/(index)/_search'?pretty=true

To query and return only certain fields

To return only specific fields, put them into the _source array:

GET filebeat-7.6.2-2020.05.05-000001/_search
    "_source": ["suricata.eve.timestamp","source.geo.region_name","event.created"],
    "query":      {
        "match" : { "source.geo.country_iso_code": "GR" }

Query by Date

When the field is of type date, you can use date math like this:

GET filebeat-7.6.2-2020.05.05-000001/_search
    "query": {
        "range" : {
            "event.created": {
                "gte" : "now-7d/d"

How to Remove (Uninstall) ElasticSearch 8

If you no longer require Elasticsearch, you can remove the software with the following command:

sudo apt autoremove elasticsearch

Remove the apt repository as follows:

sudo rm /etc/apt/sources.list.d/elastic-8.x.list

Comments and Conclusion

Overall, ElasticSearch has many popular features, some were mentioned at the start of the tutorial, but others include enabling users to search various fields using a single query. ElasticSearch provides an excellent level of sharding, which means horizontal scalability, which enhances the performance even with an increase in load.

For further reading, visit the official documentation page.


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