How to user ElasticSearch like a pro?

Introduction

ElasticSearch is a powerful open-source search and analytics engine that is widely used for data analysis. It is built on top of Apache Lucene and provides a distributed, RESTful search and analytics engine that is highly scalable and fault-tolerant. In this tutorial, we will learn how to use ElasticSearch like a pro, covering the basics of setting up and using ElasticSearch for data analysis.

Prerequisites

In order to follow this tutorial, you will need to have a basic understanding of HTML5 and data analysis concepts. You will also need to have ElasticSearch installed on your system. If you haven't installed ElasticSearch yet, you can follow the official installation guide to get started.

Setting Up ElasticSearch

Once you have ElasticSearch installed, you can start it by running the elasticsearch command in your terminal. By default, ElasticSearch will start on port 9200. You can check if ElasticSearch is running by opening http://localhost:9200 in your browser. You should see a response like this:

{  "name" : "node-1",  "cluster_name" : "elasticsearch",  "cluster_uuid" : "xxxxxxxxxxxxxxxxxxxxxxxxxxxx",  "version" : {    "number" : "7.9.1",    "build_flavor" : "default",    "build_type" : "tar",    "build_hash" : "xxxxxxxxxxxxxxxxxxxxxxxxxxxx",    "build_date" : "2020-09-01T21:22:21.964974Z",    "build_snapshot" : false,    "lucene_version" : "8.6.2",    "minimum_wire_compatibility_version" : "6.8.0",    "minimum_index_compatibility_version" : "6.0.0-beta1"  },  "tagline" : "You Know, for Search"}

This means that ElasticSearch is up and running and you can start using it for data analysis.

Creating an Index

In ElasticSearch, an index is a collection of documents that have similar characteristics. Before we can start indexing data, we need to create an index. To create an index, we can use the PUT API and specify the name of the index we want to create. For example, to create an index named "products", we can use the following API call:

PUT /products

This will create an index named "products" with the default settings. If you want to specify custom settings for your index, you can do so by providing a settings object in the API call. For example, to specify the number of shards and replicas for our "products" index, we can use the following API call:

PUT /products{ "settings": { "number_of_shards": 3, "number_of_replicas": 2 }}

This will create an index with 3 primary shards and 2 replicas for each shard. You can read more about index settings in the official documentation.

Indexing Data

Now that we have our index created, we can start indexing data. In ElasticSearch, data is indexed in the form of documents. A document is a JSON object that contains the data we want to index. Let's say we want to index a product with the following attributes:

Product Name: iPhone 12

1. Official ElasticSearch Documentation

https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html

2. ElasticSearch Tutorials

https://www.elastic.co/guide/en/elasticsearch/guide/current/index.html

3. ElasticSearch Blog

https://www.elastic.co/blog/

4. ElasticSearch Community Forum

https://discuss.elastic.co/

5. ElasticSearch GitHub Repository

https://github.com/elastic/elasticsearch

6. ElasticSearch YouTube Channel

https://www.youtube.com/playlist?list=PL2apL7L3ab6R1L5L5X5G6LJX7p5jhX4X1

7. ElasticSearch Meetup Groups

https://www.meetup.com/topics/elasticsearch/

8. ElasticSearch Cheat Sheet

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html

9. ElasticSearch Best Practices

https://www.elastic.co/guide/en/elasticsearch/reference/current/best-practices.html

10. ElasticSearch Use Cases

https://www.elastic.co/use-cases

How to Use ElasticSearch Like a Pro?