MongoDb for insertion and search using elastic search

A reactive Spring Boot application demonstrating seamless integration between MongoDB and Elasticsearch, featuring real-time search capabilities including geospatial queries, full-text search, and aggregations.

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Highlights

• Reactive Streams Approach: Uses Spring Data’s reactive driver for both MongoDB and Elasticsearch.

• Advanced Queries: Demonstrates geospatial searches, text-indexed searches, and filtering in near real-time.

• Scalable Architecture: Docker-compose-based environment for local testing.

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Architecture

The application follows a reactive architecture pattern using Spring WebFlux:

sequenceDiagram
participant Client
participant RestaurantController
participant RestaurantService
participant MongoDB
participant ChangeStreamResume
participant Elasticsearch

Client->>RestaurantController: Create/Update Restaurant
RestaurantController->>RestaurantService: Process Request
RestaurantService->>MongoDB: Save Data
MongoDB-->>ChangeStreamResume: Trigger Change Stream
ChangeStreamResume->>Elasticsearch: Sync Changes
Note over ChangeStreamResume,Elasticsearch: Resume Token Management
RestaurantService-->>RestaurantController: Return Response
RestaurantController-->>Client: HTTP Response

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Key Features

• Reactive API endpoints using Spring WebFlux and reactive drivers

• Real-time Synchronization: MongoDB change streams to Elasticsearch

• MongoDB for primary data storage

• Advanced Search Capabilities:

  • Full-text search

  • Geospatial queries

  • Aggregation operations

• Comprehensive validation

• Exception handling

• API Documentation: OpenAPI/Swagger UI integration

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Sequence Diagrams

Restaurant Creation Flow

sequenceDiagram
    participant C as Client
    participant RC as RestaurantController
    participant RS as RestaurantService
    participant MR as MongoRepository
    participant ER as ESRepository
    
    C->>RC: POST /api/restaurant
    RC->>RC: Validate Request
    RC->>RS: createRestaurant()
    RS->>MR: save()
    MR-->>RS: Restaurant
    RS->>ER: index()
    ER-->>RS: Success
    RS-->>RC: Restaurant
    RC-->>C: 201 Created

Search Operation Flow

sequenceDiagram
    participant C as Client
    participant SC as SearchController
    participant SS as SearchService
    participant ER as ESRepository
    
    C->>SC: GET /api/search
    SC->>SC: Validate Parameters
    SC->>SS: search()
    SS->>ER: search()
    ER-->>SS: SearchResults
    SS-->>SC: SearchPage
    SC-->>C: 200 OK

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Data Flow

flowchart LR
    Client --> RestController
    RestController --> Service
    Service --> MongoDB
    MongoDB --> ChangeStream
    ChangeStream --> Elasticsearch
    Service --> Elasticsearch

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Configuration Notes

MongoDB

• Uses replica set for change streams

• Transaction support with ReactiveMongoTransactionManager

• Default database: mongoes

Getting Started

Prerequisites

• JDK 21+

• Docker and Docker Compose

• Maven 3.9+

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Running Locally

1. Start the infrastructure:

docker compose -f docker/docker-compose.yml up -d

1. Run the application:

./mvnw spring-boot:run -Dspring-boot.run.profiles=local

Running Tests

./mvnw clean verify

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API Documentation

• Swagger UI: http://localhost:8080/swagger-ui.html

• OpenAPI Spec: http://localhost:8080/v3/api-docs

Monitoring

• Actuator: http://localhost:8080/actuator

• Prometheus: http://localhost:9090

• Grafana: http://localhost:3000 (admin/admin)

Development Tools

• Kibana: http://localhost:5601/app/kibana#/dev_tools/console?_g=()

• Elasticsearch: http://localhost:9200

• Mongo Express: http://localhost:8081

Useful Elasticsearch Commands

• Count documents: GET /restaurant/_count

• Search all: GET /restaurant/_search

• View mapping: GET /restaurant/_mapping

Configuration Properties

Key application properties:

spring.data.mongodb.database=mongoes
spring.data.mongodb.uri=mongodb://localhost:27017/mongoes?replicaSet=rs0
spring.elasticsearch.uris=localhost:9200
spring.elasticsearch.socket-timeout=10s

Exception Handling

The application includes global exception handling for:

• Validation errors

• Duplicate entries

• Resource not found

• General server errors

Reference

• https://medium.com/geekculture/elastic-search-queries-hands-on-examples-fe5b2bc10c0e