Skip to content

wjandy/streamingpro

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MLSQL

MLSQL is a SQL-Based language, and it's also a distributed compute engine based on Spark. The design goal of the MLSQL is to unify Big Data and Machine Learning, one language, one platform.

Official WebSite

http://www.mlsql.tech

Find more examples on our user guide.

  1. 中文文档
  2. English Docs

Get PreBuild Distribution

  • The lasted version is MLSQL v1.3.0
  • You can download from MLSQL Website
  • Spark 2.3.2/2.4.3 are tested

Run PreBuild Distribution:

cp streamingpro-spark_2.x-x.x.x.tar.gz /tmp
cd /tmp && tar xzvf  streamingpro-spark_2.x-x.x.x.tar.gz
cd /tmp/streamingpro-spark_2.x-x.x.x

## make sure spark distribution is available
## visit http://127.0.0.1:9003
export SPARK_HOME="....." ; ./start-local.sh

Build Distribution

# clone project
git clone https://github.com/allwefantasy/streamingpro .
cd streamingpro

## configure build envs
export MLSQL_SPARK_VERSIOIN=2.4
export DRY_RUN=false 
export DISTRIBUTION=false

## build  
./dev/package.sh

Fork and Contribute

If you are planning to contribute to this repository, we first request you to create an issue at our Issue page even if the topic is not related to source code itself (e.g., documentation, new idea and proposal).

This is an active open source project for everyone, and we are always open to people who want to use this system or contribute to it. This guide document introduce how to contribute to MLSQL.

RoadMap

  1. Versioning Policy

Contributors

  • Zhu William/allwefantasy#gmail.com
  • Chen Fu/cfmcgrady#gmail.com
  • Geng Yifei/pigeongeng#gmail.com
  • wanp1989/wanp1989#126.com
  • chenliang613
  • RebieKong
  • CoderOverflow
  • ghsuzzy
  • xubo245
  • zhuohuwu0603
  • liyubin117
  • 9bbword

HitCount


ChatRoom

About

Unify Big Data and Machine Learning.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • JavaScript 50.4%
  • CSS 16.6%
  • Scala 12.4%
  • HTML 9.5%
  • Java 9.5%
  • Python 1.3%
  • Other 0.3%