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Spring Data: Bridging Multiple Databases

Reactive Elasticsearch

Explore how reactive programming enhances data operations in Spring Data Elasticsearch by enabling asynchronous, nonblocking interactions. Learn to set up ReactiveElasticsearchRepository and ReactiveElasticsearchTemplate, perform CRUD operations, and build responsive, scalable applications suited for real-time data streams and high concurrency.

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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.

TypeScript 4.9.5
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 interface is provided by Spring ...