# StreamX **Repository Path**: project_engineer/streamx ## Basic Information - **Project Name**: StreamX - **Description**: 一个神奇的框架,让Flink&Spark开发更简单!一站式大数据实时平台. - **Primary Language**: Scala - **License**: Apache-2.0 - **Default Branch**: dev - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 382 - **Created**: 2022-03-23 - **Last Updated**: 2022-03-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

StreamX logo

Make stream processing easier!!!

**[Official Website](http://www.streamxhub.com)** | **[Change Log](#)** | **[Document](https://www.streamxhub.com/docs/intro)**
English | [中文](README_CN.md) # StreamX Make stream processing easier > A magical framework that make stream processing easier! ## 🚀 Introduction The original intention of `StreamX` is to make stream processing easier. `StreamX` focuses on the management of development phases and tasks. Our ultimate goal is to build a one-stop big data solution integrating stream processing, batch processing, data warehouse and data laker. [![StreamX video](https://user-images.githubusercontent.com/13284744/142747056-d220d69b-7f2a-447d-aeca-bc5435c8e29b.png)](http://assets.streamxhub.com/streamx-video.mp4) ![](https://user-images.githubusercontent.com/13284744/142746797-85ebf7b4-4105-4b5b-a023-0689c7fd1d2d.png) ## 🎉 Features * Scaffolding * Out-of-the-box connectors * Support maven compilation * Configuration * Multi version flink support(1.12.x,1.13.x,1.14.x) * All Flink deployment mode support(`Remote`/`K8s-Native-Application`/`K8s-Native-Session`/`YARN-Application`/`YARN-Per-Job`/`YARN-Session`) * `start`, `stop`, `savepoint`, resume from `savepoint` * Various companies and organizations use `StreamX` for production and commercial products. * Flame graph * Notebook * Project configuration and dependency version management * Task backup and rollback * Manage dependencies * UDF * Flink SQL WebIDE * Catalog、Hive * Full support from task `development` to `deployment` * ... ![](https://user-images.githubusercontent.com/13284744/142746863-856ef1cd-fa0e-4010-b359-c16ca2ad2fb7.png) ![](https://user-images.githubusercontent.com/13284744/142746864-d807d728-423f-41c3-b90d-45ce2c21936b.png) ## 🏳‍🌈 Components `Streamx` consists of three parts,`streamx-core`,`streamx-pump` and `streamx-console` ![](https://user-images.githubusercontent.com/13284744/142746859-f6a4dedc-ec42-4ed5-933b-c27d559b9988.png) ### 1️⃣ streamx-core `streamx-core` is a framework that focuses on coding, standardizes configuration, and develops in a way that is better than configuration by convention. Also it provides a development-time `RunTime Content` and a series of `Connector` out of the box. At the same time, it extends `DataStream` some methods, and integrates `DataStream` and `Flink sql` api to simplify tedious operations, focus on the business itself, and improve development efficiency and development experience. ### 2️⃣ streamx-pump `streamx-pump` is a planned data extraction component, similar to `flinkx`. Based on the various `connector` provided in `streamx-core`, the purpose is to create a convenient, fast, out-of-the-box real-time data extraction and migration component for big data, and it will be integrated into the `streamx-console`. ### 3️⃣ streamx-console `streamx-console` is a stream processing and `Low Code` platform, capable of managing `Flink` tasks, integrating project compilation, deploy, configuration, startup, `savepoint`, `flame graph`, `Flink SQL`, monitoring and many other features. Simplify the daily operation and maintenance of the `Flink` task. Our ultimate goal is to build a one-stop big data solution integrating stream processing, batch processing, data warehouse and data laker. * [Apache Flink](http://flink.apache.org) * [Apache YARN](http://hadoop.apache.org) * [Spring Boot](https://spring.io/projects/spring-boot/) * [Mybatis](http://www.mybatis.org) * [Mybatis-Plus](http://mp.baomidou.com) * [Flame Graph](http://www.brendangregg.com/FlameGraphs) * [JVM-Profiler](https://github.com/uber-common/jvm-profiler) * [Vue](https://cn.vuejs.org/) * [VuePress](https://vuepress.vuejs.org/) * [Ant Design of Vue](https://antdv.com/) * [ANTD PRO VUE](https://pro.antdv) * [xterm.js](https://xtermjs.org/) * [Monaco Editor](https://microsoft.github.io/monaco-editor/) * ... Thanks to the above excellent open source projects and many outstanding open source projects that are not mentioned, for giving the greatest respect,Thanks to [Apache Flink](http://flink.apache.org) for creating a great project! Thanks to the [Apache Zeppelin](http://zeppelin.apache.org) project for the early inspiration. ### 🚀 Quick Start ``` git clone https://github.com/streamxhub/streamx.git cd streamx ./mvnw clean install -DskipTests -Denv=prod ``` click [Document](http://www.streamxhub.com/zh/doc/) for more information ## 👻 Why not...❓ ### Apache Zeppelin [Apache Zeppelin](https://zeppelin.apache.org) is a Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Java, Scala and more. At the same time we also need a one-stop tool that can cover `development`, `test`, `package`, `deploy`, and `start`. `streamx-console` solves these pain points very well, positioning is a one-stop stream processing platform, and has developed more exciting features (such as `Flink SQL WebIDE`, `dependency isolation`, `task rollback `, `flame diagram` etc.) ### FlinkX [FlinkX](http://github.com/DTStack/flinkx) is a distributed offline and real-time data synchronization framework based on flink widely used in DTStack, which realizes efficient data migration between multiple heterogeneous data sources. `StreamX` focuses on the management of development phases and tasks. The `streamx-pump` module is also under planning, dedicated to solving data source migration, and will eventually be integrated into the `streamx-console`. ## 🤝 Contributing [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](https://github.com/streamxhub/streamx/pulls) You can submit any ideas as [pull requests](https://github.com/streamxhub/streamx/pulls) or as [GitHub issues](https://github.com/streamxhub/streamx/issues/new/choose). > If you're new to posting issues, we ask that you read [*How To Ask Questions The Smart Way*](http://www.catb.org/~esr/faqs/smart-questions.html) (**This guide does not provide actual support services for this project!**), [How to Report Bugs Effectively](http://www.chiark.greenend.org.uk/~sgtatham/bugs.html) prior to posting. Well written bug reports help us help you! Thanks to [JetBrains](https://www.jetbrains.com/?from=streamx) for supporting us free open source licenses. [![JetBrains](https://img.alicdn.com/tfs/TB1sSomo.z1gK0jSZLeXXb9kVXa-120-130.svg)](https://www.jetbrains.com/?from=streamx) ## 💰 Donation Are you **enjoying this project** ? 👋 If you like this framework, and appreciate the work done for it to exist, you can still support the developers by donating ☀️ 👊 | WeChat Pay | Alipay | |:----------|:----------| | Buy Me A Coffee | Buy Me A Coffee | ## 🏆 My sponsors (Coffee Suppliers) ### 💜 Monthly Supplier Welcome individuals and enterprises to sponsor, your support will help us better develop the project ### 🥇 Gold Supplier

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### 🏅 Backers Thank you to all our backers! ## 💬 Join us [StreamX]((http://www.streamxhub.com/#/)) enters the high-speed development stage, we need your contribution.
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