Spring Data MongoDB With Reactive MongoDB
With the rise in popularity of NoSQL databases, MongoDB has rapidly gained popularity. See reactive programming features in Spring Framework 5 and Spring Data MongoDB.
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Join For FreeSpring Data MongoDB has been updated to leverage the reactive programming model introduced in Spring Framework 5. This was followed by support for reactive data access for NoSQL databases such as MongoDB, Cassandra, and Redis.
With the rise in popularity of NoSQL databases, MongoDB has rapidly gained popularity in the enterprise and the Spring community.
I have published both an article and a video for setting up MongoDB within a Spring Boot application.
In this post, we’ll take a look at using the reactive programming features in Spring Framework 5 and Spring Data MongoDB.
If you’re new to reactive programming, I’ll suggest you first go through What Are Reactive Streams in Java? post, followed by the Spring Web Reactive post.
The Maven POM
For this post, I’m using embedded MongoDB. I want the benefit of talking to an instance loaded in-memory with the same capabilities as my production environment. This makes development and testing blazing fast.
You can check my post to configure and use embedded MongoDB in a Spring Boot application here.
The dependency to bring in the Embedded MongoDB is:
<dependency>
<groupId>de.flapdoodle.embed</groupId>
<artifactId>de.flapdoodle.embed.mongo</artifactId>
<scope>runtime</scope>
</dependency>
The whole capability of Reactive MongoDB lies on the MongoDB driver. The official MongoDB Reactive Streams Java Driver implements the Reactive Streams API for interoperability with other reactive stream implementations. The reactive driver provides asynchronous stream processing with non-blocking back pressure for MongoDB.
To use the driver, add this dependency.
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver-reactivestreams</artifactId>
<version>1.5.0</version>
</dependency>
Here is the complete pom.xml
:
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.4.RELEASE</version>
</parent>
<artifactId>spring-boot-reactive-mongodb</artifactId>
<name>SpringBoot Reactive MongoDB</name>
<properties>
<spring-data-releasetrain.version>Kay-M1</spring-data-releasetrain.version>
<spring.version>5.0.0.M3</spring.version>
<reactor.version>3.0.3.RELEASE</reactor.version>
<mongodb-driver-reactivestreams.version>1.5.0</mongodb-driver-reactivestreams.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-mongodb</artifactId>
</dependency>
<dependency>
<groupId>io.projectreactor</groupId>
<artifactId>reactor-core</artifactId>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver-reactivestreams</artifactId>
<version>${mongodb-driver-reactivestreams.version}</version>
</dependency>
<dependency>
<groupId>de.flapdoodle.embed</groupId>
<artifactId>de.flapdoodle.embed.mongo</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<repositories>
<repository>
<id>spring-libs-snapshot</id>
<url>https://repo.spring.io/libs-snapshot</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>spring-libs-snapshot</id>
<url>https://repo.spring.io/libs-snapshot</url>
</pluginRepository>
</pluginRepositories>
</project>
The Domain Object
I have written a product domain object for this post. Products have a name, description, price, and product URL.
Product.java
:
package guru.springframework.domain;
import org.bson.types.ObjectId;
import org.springframework.data.annotation.Id;
import org.springframework.data.mongodb.core.mapping.Document;
import java.math.BigDecimal;
@Document
public class Product {
@Id
private ObjectId _id;
private String name;
private String description;
private BigDecimal price;
private String imageUrl;
public Product(String name, String description, BigDecimal price, String imageUrl) {
this.name = name;
this.description = description;
this.price = price;
this.imageUrl = imageUrl;
}
public ObjectId getId() {
return _id;
}
public void setId(ObjectId id) {
this._id = id;
}
public String getDescription() {
return description;
}
public void setDescription(String description) {
this.description = description;
}
public BigDecimal getPrice() {
return price;
}
public void setPrice(BigDecimal price) {
this.price = price;
}
public String getImageUrl() {
return imageUrl;
}
public void setImageUrl(String imageUrl) {
this.imageUrl = imageUrl;
}
}
Spring Data MongoDB Reactive CRUD Repository
If you have worked with Spring Data in a Spring Boot application, you are familiar with the repository pattern. You extend CrudRepository
or its sub-interface and Spring Data MongoDB will generate the implementation for you.
Reactive repositories work the same way. You extend your repository interface from ReactiveCrudRepository
, specify domain-specific query methods, and rely on Spring Data MongoDB to provide the implementations.
ReactiveCrudRepository
uses reactive types introduced in Spring Framework 5. These are Mono and Flux, which implement Reactive Streams.
Here is reactive repository interface.
ReactiveProductRepository.java
:
package guru.springframework.repositories;
import guru.springframework.domain.Product;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import org.springframework.data.mongodb.repository.Query;
import org.springframework.data.repository.reactive.ReactiveCrudRepository;
public interface ReactiveProductRepository extends ReactiveCrudRepository<Product, String> {
Flux<Product> findByName(String name);
Flux<Product> findByName(Mono<String> name);
Mono<Product> findByNameAndImageUrl(Mono<String> name, String imageUrl);
@Query("{ 'name': ?0, 'imageUrl': ?1}")
Mono<Product> findByNameAndImageUrl(String name, String imageUrl);
}
As you can see, in this ReactiveProductRepository
interface, the repository uses reactive types as return types.
Reactive repositories in Spring Data MongoDB can also use reactive types for parameters. The overloaded findByName()
and findByNameAndImageUrl()
methods are examples of this.
Configuration for Spring Data MongoDB Reactive Repositories
The configuration class is similar to a nonreactive one. Along with some infrastructural setup, we have the @EnableReactiveMongoRepositories
annotation that activates support for reactive Spring Data.
The code of the ApplicationConfiguration
class is this.
ApplicationConfiguration.java
:
package guru.springframework;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.data.mongo.MongoDataAutoConfiguration;
import org.springframework.boot.autoconfigure.mongo.MongoAutoConfiguration;
import org.springframework.boot.autoconfigure.mongo.embedded.EmbeddedMongoAutoConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.DependsOn;
import org.springframework.core.env.Environment;
import org.springframework.data.mongodb.config.AbstractReactiveMongoConfiguration;
import org.springframework.data.mongodb.core.mapping.event.LoggingEventListener;
import org.springframework.data.mongodb.repository.config.EnableReactiveMongoRepositories;
import com.mongodb.reactivestreams.client.MongoClient;
import com.mongodb.reactivestreams.client.MongoClients;
@SpringBootApplication(exclude = {MongoAutoConfiguration.class, MongoDataAutoConfiguration.class})
@EnableReactiveMongoRepositories
@AutoConfigureAfter(EmbeddedMongoAutoConfiguration.class)
class ApplicationConfiguration extends AbstractReactiveMongoConfiguration {
private final Environment environment;
public ApplicationConfiguration(Environment environment) {
this.environment = environment;
}
@Override
@Bean
@DependsOn("embeddedMongoServer")
public MongoClient mongoClient() {
int port = environment.getProperty("local.mongo.port", Integer.class);
return MongoClients.create(String.format("mongodb://localhost:%d", port));
}
@Override
protected String getDatabaseName() {
return "reactive-mongo";
}
}
This ApplicationConfiguration
class extends AbstractReactiveMongoConfiguration
, the base class for reactive Spring Data MongoDB configuration. The mongoClient()
method is annotated with @Bean
to explicitly declare a configurable MongoClient
bean that represents a pool of connections for MongoDB.
Spring Data MongoDB Integration Tests
Let’s write few integration tests for the repository layer to verify that our code is using reactive MongoDB as expected.
Here is the integration test code:
ReactiveProductRepositoryIntegrationTest.java
:
package guru.springframework;
import static org.assertj.core.api.Assertions.*;
import guru.springframework.domain.Product;
import guru.springframework.repositories.ReactiveProductRepository;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
import java.math.BigDecimal;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.mongodb.core.CollectionOptions;
import org.springframework.data.mongodb.core.ReactiveMongoOperations;
import org.springframework.test.context.junit4.SpringRunner;
@RunWith(SpringRunner.class)
@SpringBootTest
public class ReactiveProductRepositoryIntegrationTest {
@Autowired
ReactiveProductRepository repository;
@Autowired
ReactiveMongoOperations operations;
@Before
public void setUp() {
operations.collectionExists(Product.class)
.flatMap(exists -> exists ? operations.dropCollection(Product.class) : Mono.just(exists))
.flatMap(o -> operations.createCollection(Product.class, new CollectionOptions(1024 * 1024, 100, true)))
.then()
.block();
repository
.save(Flux.just(new Product("T Shirt", "Spring Guru printed T Shirt", new BigDecimal(125), "tshirt1.png"),
new Product("T Shirt", "Spring Guru plain T Shirt", new BigDecimal(115), "tshirt2.png"),
new Product("Mug", "Spring Guru printed Mug", new BigDecimal(39), "mug1.png"),
new Product("Cap", "Spring Guru printed Cap", new BigDecimal(66), "cap1.png")))
.then()
.block();
}
@Test
public void findByNameAndImageUrlWithStringQueryTest() {
Product mug = repository.findByNameAndImageUrl("Mug", "mug1.png")
.block();
assertThat(mug).isNotNull();
}
@Test
public void findByNameAndImageUrlWithMonoQueryTest() {
Product cap = repository.findByNameAndImageUrl(Mono.just("Cap"), "cap1.png")
.block();
assertThat(cap).isNotNull();
}
@Test
public void findByNameWithStringQueryTest() {
List<Product> tShirts = repository.findByName("T Shirt")
.collectList()
.block();
assertThat(tShirts).hasSize(2);
}
@Test
public void findByNameWithMonoQueryTest() {
List<Product> tShirts = repository.findByName(Mono.just("T Shirt"))
.collectList()
.block();
assertThat(tShirts).hasSize(2);
}
}
In the test class, we auto-wired in two Spring Beans.
Our ReactiveProductRepository
implementation that Spring Data MongoDB provides and a ReactiveMongoOperations
implementation.
ReactiveMongoOperations
is the interface for the main reactive Template API class, ReactiveMongoTemplate
. This interface defines a basic set of reactive data access operations using Project Reactor Mono and Flux reactive types.
ReactiveMongoOperations
contains reactive counterpart for most of the operations available in the MongoOperations
interface of the traditional blocking template API.
The setup portion of our integration test will drop any existing documents and recreate the Product collection. The setup method then inserts four new documents into our MongoDB collection.
We’re calling the .block()
method to ensure processing completes before the next command is executed.
Here is the output of the integration tests from IntelliJ:
You can get the complete source code for this post here.
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