Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more.
The ballerinax/redis
package offers APIs to connect to Redis servers and to manipulate key-value data, providing
functionality to utilize Redis both as a database and cache. The current connector is compatible Redis server
versions up to 7.2.x.
To use the Redis connector, you need to have a Redis server running and accessible. For that, you can either install Redis locally or use a cloud-based Redis service.
-
Download and install Redis from the official website.
-
Follow the installation instructions based on your operating system.
To start the Redis server, open a terminal and execute the following command.
redis-server
After starting the Redis server, you can verify the connectivity using the Redis CLI. Open a new terminal and execute the following command.
redis-cli ping
If the server is running, you will receive a response of "PONG"
.
Several cloud providers offer managed Redis services. Some of the popular ones are:
- Redis Labs: Redis Labs offers Redis Enterprise Cloud, a fully-managed Redis service in the cloud.
- Amazon ElastiCache: Amazon Web Services provides ElastiCache, a managed Redis service for deploying, operating, and scaling Redis in the AWS Cloud.
- Google Cloud Memorystore: Google Cloud offers Memorystore for Redis, a fully-managed Redis service on Google Cloud Platform.
- Microsoft Azure Cache for Redis: Azure Cache for Redis is a fully-managed Redis service provided by Microsoft Azure.
Choose the hosting solution that best fits your requirements and proceed with its setup instructions.
To use the redis
connector in your Ballerina application, follow the steps below:
Import the redis
module.
import ballerinax/redis;
Create a redis:ConnectionConfig
instance by giving the Redis server configuration and
initialize the Ballerina Redis client using it.
redis:Client redis = check new (
connection = {
host: "localhost",
port: 6379
}
);
Now, you can use the available connector operations to interact with Redis.
check redis->set("key", "value");
string value = check redis->get("key");
Save the changes and run the Ballerina application using the following command.
bal run
The Redis connector provides practical examples illustrating usage in various scenarios. Explore these examples covering common Redis operations.
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Cache management - Implement caching using Redis to improve application performance.
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Session management - Use Redis to manage user sessions efficiently.
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Rate limiting - Implement rate limiting for API endpoints using Redis.
The Issues and Projects tabs are disabled for this repository as this is part of the Ballerina library. To report bugs, request new features, start new discussions, view project boards, etc., visit the Ballerina library parent repository.
This repository only contains the source code for the package.
-
Download and install Java SE Development Kit (JDK) version 17. You can download it from either of the following sources:
Note: After installation, remember to set the
JAVA_HOME
environment variable to the directory where JDK was installed. -
Download and install Ballerina Swan Lake.
-
Download and install Docker.
Note: Ensure that the Docker daemon is running before executing any tests.
Execute the commands below to build from the source.
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To build the package:
./gradlew clean build
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To run the tests:
./gradlew clean test
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To build the without the tests:
./gradlew clean build -x test
-
To run tests against different environment:
./gradlew clean test -Pgroups=<Comma separated groups/test cases>
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To debug package with a remote debugger:
./gradlew clean build -Pdebug=<port>
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To debug with the Ballerina language:
./gradlew clean build -PbalJavaDebug=<port>
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Publish the generated artifacts to the local Ballerina Central repository:
./gradlew clean build -PpublishToLocalCentral=true
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Publish the generated artifacts to the Ballerina Central repository:
./gradlew clean build -PpublishToCentral=true
As an open-source project, Ballerina welcomes contributions from the community.
For more information, go to the contribution guidelines.
All the contributors are encouraged to read the Ballerina Code of Conduct.
- For more information go to the
redis
package. - For example demonstrations of the usage, go to Ballerina By Examples.
- Chat live with us via our Discord server.
- Post all technical questions on Stack Overflow with the #ballerina tag.