Spring Data: Bridging Multiple Databases/

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Reactive Elasticsearch

Reactive Elasticsearch

Learn about reactive Elasticsearch via Spring Data, optimizing responsiveness and harnessing Elasticsearch’s search and analytics prowess.

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Reactive programming in Spring Data Elasticsearch employs asynchronous, nonblocking patterns to enhance data interactions. Real-world applications benefit from its efficiency, especially in high-concurrency scenarios like real-time analytics, social media feeds, and IoT data streams. Reactive Elasticsearch enables responsive, scalable systems by ensuring seamless handling of large data volumes and dynamic user interactions.

Quick setup

First, we add the spring-boot-starter-webflux Spring Boot starter data dependency to the build.gradle file to enable reactive programming support of the Spring Data Elasticsearch.

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plugins {
    id 'java'
    id 'org.springframework.boot' version '3.0.2'
    id 'io.spring.dependency-management' version '1.1.0'
}
group = 'com.smartdiscover'
version = '0.0.1-SNAPSHOT'
sourceCompatibility = '17'
repositories {
    mavenCentral()
}
dependencies {
    implementation 'org.springframework.boot:spring-boot-starter-data-elasticsearch'
    implementation 'org.springframework.boot:spring-boot-starter-webflux'
    implementation 'org.projectlombok:lombok:1.18.26'
    annotationProcessor 'org.projectlombok:lombok'
}

The ReactiveElasticsearch repository

The ReactiveElasticsearchRepository ...