Object Mapping (and more) for Redis!
Redis OM Spring extends Spring Data Redis to take full advantage of Redis and Redis Stack.
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Table of contents
The Redis OM family of client libraries provide high-level abstractions, idiomatically implemented for your language and platform of choice. We currently cater to the Node, Python, .NET, and Spring communities.
Redis OM Spring provides powerful repository and custom object-mapping abstractions built on top of the Spring Data Redis (SDR) framework.
This preview release provides all Spring Data Redis, plus:
@Documentannotation to map Spring Data models to Redis JSON documents- Enhancement to the Spring Data Redis
@RedisHashvia@EnableRedisEnhancedRepositories:- uses Redis' native search engine (RediSearch) for secondary indexing
- uses ULID for
@Idannotated fields
RedisDocumentRepositorywith automatic implementation of Repository interfaces for complex querying capabilities using@EnableRedisDocumentRepositories- Declarative search indexes via
@Indexed - Full-text search indexes via
@Searchable EntityStreams: Streams-based Query and Aggregations Builder@Bloomannotation to determine very fast, with and with high degree of certainty, whether a value is in a collection.@Vectorizeannotation to generate embeddings for text and images for use in Vector Similarity Searches- Vector Similarity Search API (See Redis Stack Vectors)
Note: Redis OM Spring depends on Jedis.
Here is a quick teaser of an application using Redis OM Spring to map a Spring Data model using a RedisJSON document.
Redis OM Spring relies on the search, query, and JSON capabilities of Redis Stack. Before writing any code, you'll need a Redis Stack. The quickest way to get this is with Docker:
docker run -p 6379:6379 -p 8001:8001 redis/redis-stackThis launches redis-stack, an extension of Redis that adds several modern data
structures to Redis. You'll also notice that if you open up http://localhost:8001, you'll have access to the
redis-insight GUI, a GUI you can use to visualize and work with your data in Redis.
We have also provided a Docker Compose YAML file for you to quickly get started
using Redis Stack.
To launch the docker compose application, on the command line (or via Docker Desktop), clone this repository and run (from the root folder):
docker compose upBy default, Redis OM Spring connects to localhost at port 6379. If
your instance is running somewhere else, you can configure the connection
in your application.properties or application.yaml:
In application.properties:
spring.data.redis.host=your.cloud.db.redislabs.com
spring.data.redis.port=12345
spring.data.redis.password=xxxxxxxx
spring.data.redis.username=default
In application.yaml:
spring:
data:
redis:
host: your.cloud.db.redislabs.com
port: 12345
password: xxxxxxxx
username: default
Use the @EnableRedisDocumentRepositories annotation to scan for @Document annotated Spring models,
Inject repositories beans implementing RedisDocumentRepository which you can use for CRUD operations and custom
queries (all by declaring Spring Data Query Interfaces):
package com.redis.om.documents;
import java.util.Set;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.CommandLineRunner;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.geo.Point;
import com.redis.om.documents.domain.Company;
import com.redis.om.documents.repositories.CompanyRepository;
@SpringBootApplication
@Configuration
@EnableRedisDocumentRepositories(basePackages = "com.redis.om.documents.*")
public class RomsDocumentsApplication {
@Autowired
CompanyRepository companyRepo;
@Bean
CommandLineRunner loadTestData() {
return args -> {
// remove all companies
companyRepo.deleteAll();
// Create a couple of `Company` domain entities
Company redis = Company.of(
"Redis", "https://redis.com", new Point(-122.066540, 37.377690), 526, 2011 //
);
redis.setTags(Set.of("fast", "scalable", "reliable"));
Company microsoft = Company.of(
"Microsoft", "https://microsoft.com", new Point(-122.124500, 47.640160), 182268, 1975 //
);
microsoft.setTags(Set.of("innovative", "reliable"));
// save companies to the database
companyRepo.save(redis);
companyRepo.save(microsoft);
};
}
public static void main(String[] args) {
SpringApplication.run(RomsDocumentsApplication.class, args);
}
}Like many other Spring Data projects, an annotation at the class level determines how instances
of the class are persisted. Redis OM Spring provides the @Document annotation to persist models as JSON documents
using RedisJSON:
package com.redis.om.documents.domain;
import java.util.HashSet;
import java.util.Set;
import org.springframework.data.annotation.Id;
import org.springframework.data.geo.Point;
import com.redis.om.spring.annotations.Document;
import com.redis.om.spring.annotations.Searchable;
import lombok.*;
@Data @NoArgsConstructor @RequiredArgsConstructor(staticName = "of") @AllArgsConstructor(access = AccessLevel.PROTECTED) @Document public class Company {
@Id private String id;
@Searchable private String name;
@Indexed private Point location;
@Indexed private Set<String> tags = new HashSet<>();
@Indexed private Integer numberOfEmployees;
@Indexed private Integer yearFounded;
private String url;
private boolean publiclyListed;
// ...
}Redis OM Spring, replaces the conventional UUID primary key strategy generation with a ULID (Universally Unique
Lexicographically Sortable Identifier) which is faster to generate and easier on the eyes.
Redis OM Spring data repository's goal, like other Spring Data repositories, is to significantly reduce the amount of
boilerplate code required to implement data access. Simply create a Java interface
that extends RedisDocumentRepository that takes the domain class to manage as well as the ID type of the domain class
as type arguments. RedisDocumentRepository extends the Spring Data class PagingAndSortingRepository.
Declare query methods on the interface. You can both, expose CRUD methods or create declarations for complex queries that Redis OM Spring will fulfill at runtime:
package com.redis.om.documents.repositories;
import java.util.*;
import org.springframework.data.geo.Distance;
import org.springframework.data.geo.Point;
import org.springframework.data.repository.query.Param;
import com.redis.om.documents.domain.Company;
import com.redis.om.spring.annotations.Query;
import com.redis.om.spring.repository.RedisDocumentRepository;
public interface CompanyRepository extends RedisDocumentRepository<Company, String> {
// find one by property
Optional<Company> findOneByName(String name);
// geospatial query
Iterable<Company> findByLocationNear(Point point, Distance distance);
// find by tag field, using JRediSearch "native" annotation
@Query("@tags:{$tags}")
Iterable<Company> findByTags(@Param("tags") Set<String> tags);
// find by numeric property
Iterable<Company> findByNumberOfEmployees(int noe);
// find by numeric property range
Iterable<Company> findByNumberOfEmployeesBetween(int noeGT, int noeLT);
// starting with/ending with
Iterable<Company> findByNameStartingWith(String prefix);
}The repository proxy has two ways to derive a store-specific query from the method name:
- By deriving the query from the method name directly.
- By using a manually defined query using the
@Queryor@Aggregationannotations.
Redis OM Spring Entity Streams provides a Java 8 Streams interface to Query Redis JSON documents using RediSearch. Entity Streams allow you to process data in a type safe declarative way similar to SQL statements. Streams can be used to express a query as a chain of operations.
Entity Streams in Redis OM Spring provides the same semantics as Java 8 streams. Streams can be made of Redis Mapped
entities (@Document) or one or more properties of an Entity. Entity Streams progressively build the query until a
terminal operation is invoked (such as collect). Whenever a Terminal operation is applied to a Stream, the Stream
cannot accept additional operations to its pipeline and it also means that the Stream is started.
Let's start with a simple example, a Spring @Service which includes EntityStream to query for instances of the
mapped class Person:
package com.redis.om.skeleton.services;
import java.util.stream.Collectors;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import com.redis.om.skeleton.models.Person;
import com.redis.om.skeleton.models.Person$;
import com.redis.om.spring.search.stream.EntityStream;
@Service
public class PeopleService {
@Autowired
EntityStream entityStream;
// Find all people
public Iterable<Person> findAllPeople() {
return entityStream //
.of(Person.class) //
.collect(Collectors.toList());
}
}The EntityStream is injected into the PeopleService using @Autowired. We can then get a stream for Person
objects by using entityStream.of(Person.class). At this point the stream represents the equivalent of
a SELECT * FROM Person on a relational database. The call to collect will then execute the underlying query and
return a collection of all Person objects in Redis.
To produce more elaborate queries, you're provided with a generated metamodel, which is a class with the same name as
your model but ending with a dollar sign. In the
example below, our entity model is Person therefore we get a metamodel named Person$. With the metamodel you have
access to the operations related to the
underlying search engine field. For example, in the example we have an age property which is an integer. Therefore,
our metamodel has an AGE property which has
numeric operations we can use with the stream's filter method such as between.
// Find people by age range
public Iterable<Person> findByAgeBetween(int minAge, int maxAge) {
return entityStream //
.of(Person.class) //
.filter(Person$.AGE.between(minAge, maxAge)) //
.sorted(Person$.AGE, SortOrder.ASC) //
.collect(Collectors.toList());
}In this example we also make use of the Streams sorted method to declare that our stream will be sorted by
the Person$.AGE in ASCending order.
Check out the full set of tests for EntityStreams
Query by Example (QBE) is a user-friendly querying technique with a simple interface. It allows dynamic query creation and does not require you to write queries that contain field names. In fact, Query by Example does not require you to write queries by using store-specific query languages at all.
The Query by Example API consists of four parts:
- Probe: The actual example of a domain object with populated fields.
- ExampleMatcher: The
ExampleMatchercarries details on how to match particular fields. It can be reused across multipleExamples. - Example: An Example consists of the probe and the ExampleMatcher. It is used to create the query.
- FetchableFluentQuery: A
FetchableFluentQueryoffers a fluent API, that allows further customization of a query derived from anExample. Using the fluent API lets you specify ordering projection and result processing for your query.
Query by Example is well suited for several use cases:
- Querying your data store with a set of static or dynamic constraints.
- Frequent refactoring of the domain objects without worrying about breaking existing queries.
- Working independently of the underlying data store API.
For example, if you have an @Document or @RedisHash annotated entity you can create an instance, partially populate
its
properties, create an Example from it, and used the findAll method to query for similar entities:
MyDoc template = new MyDoc();
template.setTitle("hello world");
template.setTag(Set.of("artigo"));
Example<MyDoc> example = Example.of(template, ExampleMatcher.matchingAny());
Iterable<MyDoc> allMatches = repository.findAll(example);<dependency>
<groupId>com.redis.om</groupId>
<artifactId>redis-om-spring</artifactId>
<version>${version}</version>
</dependency>
⚠️ Redis OM Spring versions greater thanv0.9.1require the addition of the Spring Milestone Repository to account for the recent integration with the Spring AI project. When Spring AIv1.0.0is released we will drop this requirement.
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
</repository>of if using Gradle:
repositories {
maven("https://repo.spring.io/milestone" )
}For Maven, things normally just work, when you run ./mvnw spring-boot:run. Some users have experienced this not being
the case, in which I recommend to explicitly declaring the maven-compiler-plugin in the case below it is paired with
an app created with start.spring.io with Spring Boot v3.3.0 (all other versions can be
inherited from the parent poms):
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>${maven-compiler-plugin.version}</version>
<configuration>
<annotationProcessorPaths>
<path>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-configuration-processor</artifactId>
<version>3.3.0</version>
</path>
<path>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
</path>
<path>
<groupId>com.redis.om</groupId>
<artifactId>redis-om-spring</artifactId>
<version>0.9.7</version>
</path>
</annotationProcessorPaths>
</configuration>
</plugin> <repositories>
<repository>
<id>snapshots-repo</id>
<url>https://s01.oss.sonatype.org/content/repositories/snapshots/</url>
</repository>
</repositories>and
<dependency>
<groupId>com.redis.om</groupId>
<artifactId>redis-om-spring</artifactId>
<version>${version}-SNAPSHOT</version>
</dependency>Ready to learn more? Check out the getting started guide.
repositories {
mavenCentral()
maven {
url 'https://s01.oss.sonatype.org/content/repositories/snapshots/'
}
}ext {
redisOmVersion = '0.9.7'
}
dependencies {
implementation "com.redis.om:redis-om-spring:$redisOmVersion"
annotationProcessor "com.redis.om:redis-om-spring:$redisOmVersion"
}The Redis OM documentation is available here.
These can be found in the /demos folder:
-
roms-documents:
- Simple API example of
@Documentmapping, Spring Repositories and Querying. - Run with
./mvnw install -Dmaven.test.skip && ./mvnw spring-boot:run -pl demos/roms-documents
- Simple API example of
-
roms-hashes:
- Simple API example of
@RedisHash, enhanced secondary indices and querying. - Run with
./mvnw install -Dmaven.test.skip && ./mvnw spring-boot:run -pl demos/roms-hashes
- Simple API example of
-
roms-permits:
- Port of Elena Kolevska's Quick Start: Using RediSearch with JSON Demo to Redis OM Spring.
- Run with
./mvnw install -Dmaven.test.skip && ./mvnw spring-boot:run -pl demos/roms-permits
-
roms-vss:
- Port of Redis Vector Search Demo.
- Run with
./mvnw install -Dmaven.test.skip && ./mvnw spring-boot:run -pl demos/roms-vss
-
redis-om-spring-skeleton-app:
- Redis OM Spring Skeleton App
- Repo: https://github.com/redis-developer/redis-om-spring-skeleton-app
-
redis-om-spring-react-todomvc:
- Redis OM Spring to build a RESTful API that satisfies the simple web API spec set by the Todo-Backend project using JSON Documents stored in Redis.
- Repo: https://github.com/redis-developer/redis-om-spring-react-todomvc
-
redis-om-autocomplete-demo:
- A Spring Boot demo of autocomplete functionality using Redis OM Spring.
- Repo: https://github.com/redis-developer/redis-om-autocomplete-demo
If you run into trouble or have any questions, we're here to help!
First, check the FAQ. If you don't find the answer there, hit us up on the Redis Discord Server.
Redis OM relies on two source available Redis modules: RediSearch and RedisJSON.
You can run these modules in your self-hosted Redis deployment, or you can use Redis Enterprise, which includes both modules.
To learn more, read our documentation.
We'd love your contributions!
Bug reports are especially helpful at this stage of the project. You can open a bug report on GitHub.
You can also contribute documentation -- or just let us know if something needs more detail. Open an issue on GitHub to get started.
Redis OM uses the MIT license.
