How to implement Elastic Search Using Spring Boot?
Tags: elasticsearch, programming, webdev, beginners
Published: 2021-12-13 03:54:13


##Elastic Search 



Hello 👋Its Rohan Kadam😊

Elastic Search !! What is elastic search? Why elastic Search? How to use elastic search Using Spring boot?

![Elastic Search Using Spring Boot](https://cdn-images-1.medium.com/max/3840/1*GHjTu-J0hLUm_v6IQK7_MA.png)

### [What is Elastic Search?](https://www.elastic.co/what-is/elasticsearch)

Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured. Elasticsearch is built on Apache Lucene and was first released in 2010 by Elasticsearch N.V. (now known as Elastic).

Known for its simple REST APIs, distributed nature, speed, and scalability, Elasticsearch is the central component of the Elastic Stack, a set of free and open tools for data ingestion, enrichment, storage, analysis, and visualization. Commonly referred to as the ELK Stack (after Elasticsearch, Logstash, and Kibana), the Elastic Stack now includes a rich collection of lightweight shipping agents known as Beats for sending data to Elasticsearch.

### [Why use Elastic Search?](https://www.elastic.co/what-is/elasticsearch)

**Elasticsearch is fast.** Because Elasticsearch is built on top of Lucene, it excels at full-text search. Elasticsearch is also a near real-time search platform, meaning the latency from the time a document is indexed until it becomes searchable is very short — typically one second. As a result, Elasticsearch is well suited for time-sensitive use cases such as security analytics and infrastructure monitoring.

**Elasticsearch is distributed by nature.** The documents stored in Elasticsearch are distributed across different containers known as *shards*, which are duplicated to provide redundant copies of the data in case of hardware failure. The distributed nature of Elasticsearch allows it to scale out to hundreds (or even thousands) of servers and handle petabytes of data.

**Elasticsearch comes with a wide set of features.** In addition to its speed, scalability, and resiliency, Elasticsearch has a number of powerful built-in features that make storing and searching data even more efficient, such as data rollups and index lifecycle management.

**The Elastic Stack simplifies data ingest, visualization, and reporting.** Integration with Beats and Logstash makes it easy to process data before indexing into Elasticsearch. And Kibana provides real-time visualization of Elasticsearch data as well as UIs for quickly accessing application performance monitoring (APM), logs, and infrastructure metrics data.

### How to implement Elastic Search in Spring Boot?

Elastic Search is widely been used by industry today for developing search engines. Its best known for its high-performance searching and querying. Today we are going to implement the elastic search using the spring boot and the programming language Java. This part of we going to cover the CRUD operations for the same.

### Step 1: How to generate Spring Boot Project?
[**Spring Initializr**](https://start.spring.io/)

### Step 2: Which dependencies should I include?

![Rest high-level Client -Elastic Search](https://cdn-images-1.medium.com/max/2836/1*jQHsgtgX2qv9JuD4Mc7Zuw.png)

### Step 3: What will be the Configuration for Elastic Search?

The Java High-Level REST Client works on top of the Java Low-Level REST client. Its main goal is to expose API specific methods, that accept request objects as an argument and return response objects, so that request marshalling and response un-marshalling is handled by the client itself.

Each API can be called synchronously or asynchronously. The synchronous methods return a response object, while the asynchronous methods, whose names end with the async suffix, require a listener argument that is notified (on the thread pool managed by the low-level client) once a response or an error is received.

The Java High-Level REST Client depends on the Elasticsearch core project. It accepts the same request arguments as the TransportClient and returns the same response objects.

![Configuration -Elastic Search](https://cdn-images-1.medium.com/max/3224/1*64bxPIoAaZsuIY9OtV7oJQ.png)

To perform CRUD operations we need to define storage for storing our data object. In the case of elastic search, types like a table in an SQL database, where the index is the SQL database. However, that is not a good way to approach type . In the Example below are use notes document /entity/model it can have multiple fields such as title, descriptions etc.RestClient dependencies provide us with methods such as

 1. [**IndexRequest](https://www.elastic.co/guide/en/elasticsearch/client/java-rest/master/java-rest-high-document-index.html)**:- To create a new index for the object.

 2. [**UpdateRequest](https://www.elastic.co/guide/en/elasticsearch/client/java-rest/master/java-rest-high-document-update.html)**:- To update a existing index.

 3. [**DeleteRequest](https://www.elastic.co/guide/en/elasticsearch/client/java-rest/master/java-rest-high-document-delete.html)**:- To Delete an index from the elastic table.

 4. [**SearchRequest](https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high-search.html)**:- To Perform a search from the database.

![Business -Logic For CRUD Operations](https://cdn-images-1.medium.com/max/4044/1*7bPSMQ2OQi-0fPNh83wrLA.png)

### Conclusion:-

In the article, we tried to answers many questions related to Elastic Search and how to implement the same using Spring boot. Elastic Search powerfully features such as indexing and fast querying are used by many fortune 500 companies to provide service to others.

Please do share and like💖 if you find the article useful. Follow me on medium [Rohan Ravindra Kadam](undefined) and on Twitter at [**rohankadam25](https://twitter.com/rohankadam25)**

### Bibliography:-
[**Java High-Level REST Client | Java REST Client [master] | Elastic**](https://www.elastic.co/guide/en/elasticsearch/client/java-rest/master/java-rest-high.html)
[**Free and Open Search: The Creators of Elasticsearch, ELK & Kibana | Elastic**](https://www.elastic.co/)

![Thank You, Viewers — Rohan Kadam](https://cdn-images-1.medium.com/max/2800/1*mRwSuSvhuRcZKS3uElP6bg.png)