https://github.com/wendy512/stream
Streaming processing framework, source, channel, sink, support mqtt, Kafka and other components
https://github.com/wendy512/stream
asynchronous high-performance java kafka mqtt mulithreading queue rabbitmq
Last synced: 1 day ago
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Streaming processing framework, source, channel, sink, support mqtt, Kafka and other components
- Host: GitHub
- URL: https://github.com/wendy512/stream
- Owner: wendy512
- License: apache-2.0
- Created: 2023-05-18T03:08:44.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-08-26T05:44:08.000Z (over 1 year ago)
- Last Synced: 2024-08-27T04:50:29.942Z (over 1 year ago)
- Topics: asynchronous, high-performance, java, kafka, mqtt, mulithreading, queue, rabbitmq
- Language: Java
- Homepage: https://github.com/wendy512/stream
- Size: 152 KB
- Stars: 512
- Watchers: 70
- Forks: 90
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Stream
[](https://search.maven.org/search?q=g:io.github.wendy512%20AND%20stream-core)
[](https://www.apache.org/licenses/LICENSE-2.0.html)
English | [中文](README_zh_CN.md)
## Overview
Stream supports lightweight messaging within Spring-based applications and supports integration with external systems through declarative adapters. These adapters provide a higher level of abstraction than Spring's support for remote processing, messaging, and scheduling. The main goal of Stream is to provide a simple model for building enterprise integration solutions while maintaining separation of concerns, which is essential for producing maintainable and testable code.
Lightweight messaging within Stream-based applications, such applications are built by assembling fine-grained reusable components to form higher-level functions. Through careful design, these processes can be modularized and reused at a higher level. Stream also provides a variety of channel adapters and gateways for communicating with external systems. Channel adapters are used for one-way integration (send or receive), asynchronous message high-performance processing framework, fixed thread asynchronous processing of messages, and support for batch processing of messages.
## Features
- Supports Kafka, MQTT, Redis, RabbitMQ, Pulsar message sources and sinks and supports expansion
- Message source processing supports two processing methods: round-robin and random
- Message processing supports extensible interceptors
- Support SpringBoot2 and SpringBoot3
## Requirements
Compilation requires JDK 8 and above, Maven 3.2.5 and above.
## Integrated
If you use Maven, you just need to add the following dependency in pom.xml
### Spring Boot2 version
```xml
io.github.wendy512
stream-core
1.0.4
```
Add corresponding component dependencies according to your needs, example mqtt component
```xml
io.github.wendy512
stream-mqtt
1.0.4
```
Supports the following components
- stream-mqtt
- stream-kafka
- stream-pulsar
- stream-rabbitmq
- stream-redis
### Spring Boot3 version
The jdk version must be 17 or above
```xml
io.github.wendy512
stream-core-springboot3
1.0.4
```
Add corresponding component dependencies according to your needs, example mqtt component
```xml
io.github.wendy512
stream-mqtt-springboot3
1.0.4
```
Supports the following components
- stream-mqtt-springboot3
- stream-kafka-springboot3
- stream-pulsar-springboot3
- stream-rabbitmq-springboot3
- stream-redis-springboot3
## How to use
[Reference Wiki](https://github.com/wendy512/stream/wiki)
## Examples
* [Local queue](https://github.com/wendy512/stream-samples/tree/master/local-sample)
* [Kafka](https://github.com/wendy512/stream-samples/tree/master/kafka-sample)
* [MQTT](https://github.com/wendy512/stream-samples/tree/master/mqtt-sample)
* [RabbitMQ](https://github.com/wendy512/stream-samples/tree/master/rabbitmq-sample)
* [Redis](https://github.com/wendy512/stream-samples/tree/master/redis-sample)
* [Pulsar](https://github.com/wendy512/stream-samples/tree/master/pulsar-sample)
## License
Stream is based on the [Apache License 2.0](./LICENSE) agreement, and Stream relies on some third-party components whose open source agreement is also Apache License 2.0.
## Contact
- Email：