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Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.

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Spring Data Redis Spring Data Redis

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Spring Data Redis

The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud based data services. This modules provides integration with the Redis store.

Docs

You can find out more details from the user documentation or by browsing the javadocs.

Examples

For examples on using the Spring Data Key Value, see the dedicated project, also available on GitHub

Artifacts

Maven configuration

Add the Maven dependency:

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-redis</artifactId>
  <version>${version}.RELEASE</version>
</dependency>

If you’d rather like the latest snapshots of the upcoming major version, use our Maven snapshot repository and declare the appropriate dependency version.

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-redis</artifactId>
  <version>${version}.BUILD-SNAPSHOT</version>
</dependency>

<repository>
  <id>spring-libs-snapshot</id>
  <name>Spring Snapshot Repository</name>
  <url>https://repo.spring.io/libs-snapshot</url>
</repository>

Gradle

repositories {
   maven { url "https://repo.spring.io/libs-milestone" }
   maven { url "https://repo.spring.io/libs-snapshot" }
}

// used for nightly builds
dependencies {
   compile "org.springframework.data:spring-data-redis:${version}"
}

Usage (for the impatient)

  • Configure the Redis connector to use (here jedis):

<beans xmlns="http://www.springframework.org/schema/beans"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xmlns:p="http://www.springframework.org/schema/p"
  xsi:schemaLocation="
  http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsd">

  <bean id="jedisFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"/>

  <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"
      p:connection-factory="jedisFactory"/>
</beans>
  • Use RedisTemplate to interact with the Redis store:

String random = template.randomKey();
template.set(random, new Person("John", "Smith"));
  • Use Redis 'views' to execute specific operations based on the underlying Redis type:

ListOperations<String, Person> listOps = template.listOps();
listOps.rightPush(random, new Person("Jane", "Smith"));
List<Person> peopleOnSecondFloor = listOps.range("users:floor:2", 0, -1);

Building

Spring Data Redis uses Maven as its build system. Running the tests requires you to have a RedisServer running at its default port. Using the -D runLongTests=true option executes additional Pub/Sub test.

    mvn clean install

You can alternatively use the provided Makefile which runs the build plus downloads and spins up the following environment:

  • 1 Single Node

  • HA Redis (1 Master, 2 Replicas, 3 Sentinels).

  • Redis Cluster (3 Masters, 1 Replica)

    make test

Running CI tasks locally

Since this pipeline is purely Docker-based, it’s easy to:

  • Debug what went wrong on your local machine.

  • Test out a a tweak to your test routine before sending it out.

  • Experiment against a new image before submitting your pull request.

All of these use cases are great reasons to essentially run what the CI server does on your local machine.

Important
To do this you must have Docker installed on your machine.
  1. docker run -it --mount type=bind,source="$(pwd)",target=/spring-data-redis-github springci/spring-data-openjdk8-with-redis-5.0:latest /bin/bash

    This will launch the Docker image and mount your source code at spring-data-redis-github.

  2. cd spring-data-redis-github

    Next, run the tests from inside the container:

  3. ./mvnw clean dependency:list test -Dsort -Dbundlor.enabled=false -B (or with whatever profile you need to test out)

Since the container is binding to your source, you can make edits from your IDE and continue to run build jobs.

If you need to package things up, do this:

  1. docker run -it --mount type=bind,source="$(pwd)",target=/spring-data-redis-github adoptopenjdk/openjdk8:latest /bin/sh

    This will launch the Docker image and mount your source code at spring-data-redis-github.

  2. cd spring-data-redis-github

    Next, package things from inside the container doing this:

  3. ./mvnw clean dependency:list package -Dsort -Dbundlor.enabled=false -B

Note
Docker containers can eat up disk space fast! From time to time, run docker system prune to clean out old images.

Contributing

Here are some ways for you to get involved in the community:

  • Get involved with the Spring community on the Stackoverflow. Please help out on the spring-data-redis tag by responding to questions and joining the debate.

  • Create JIRA tickets for bugs and new features and comment and vote on the ones that you are interested in.

  • Watch for upcoming articles on Spring by subscribing to spring.io.

Before we accept a non-trivial patch or pull request we will need you to sign the Contributor License Agreement. Signing the contributor’s agreement does not grant anyone commit rights to the main repository, but it does mean that we can accept your contributions, and you will get an author credit if we do. If you forget to do so, you’ll be reminded when you submit a pull request.

Github is for social coding: if you want to write code, we encourage contributions through pull requests from forks of this repository. If you want to contribute code this way, read the Spring Framework contributor guidelines.

Staying in touch

Follow the project team (@SpringData) on Twitter. In-depth articles can be found at the Spring team blog, and releases are announced via our news feed.

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Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template classes for core API usage and lightweight repository style data access.

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