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[![GitHub license](https://img.shields.io/github/license/cas-bigdatalab/piflow.svg)](https://github.com/cas-bigdatalab/piflow/blob/master/LICENSE)
πFlow is an easy to use, powerful big data pipeline system.
Try with: http://piflow.cstcloud.cn/piflow-web/
Try PiFlow v0.6 with: http://piflow.cstcloud.cn/piflow-web/
## Table of Contents
- [Features](#features)
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## Architecture
![](https://github.com/cas-bigdatalab/piflow/blob/master/doc/architecture.png)
## Requirements
* JDK 1.8 or newer
* JDK 1.8
* Scala-2.11.8
* Apache Maven 3.1.0 or newer
* Git Client (used during build process by 'bower' plugin)
* Spark-2.1.0
* Spark-2.1.0、 Spark-2.2.0、 Spark-2.3.0
* Hadoop-2.6.0
* Hive-1.2.1
## Getting Started
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- `run piflow server on intellij`:
- edit config.properties
- build piflow to generate piflow-server.jar
- build piflow to generate piflow-server-0.9.jar
- main class is cn.piflow.api.Main(remember to set SPARK_HOME)
- `run piflow server by release version`:
- download piflow.tar.gz: https://github.com/cas-bigdatalab/piflow/releases/download/v0.5/piflow.tar.gz
- unzip piflow.tar.gz: tar -zxvf piflow.tar.gz
- download piflow.tar.gz:
https://github.com/cas-bigdatalab/piflow/releases/download/v0.5/piflow.tar.gz
https://github.com/cas-bigdatalab/piflow/releases/download/v0.6/piflow-server-v0.6.tar.gz
https://github.com/cas-bigdatalab/piflow/releases/download/v0.7/piflow-server-v0.7.tar.gz
- unzip piflow.tar.gz:
tar -zxvf piflow.tar.gz
- edit config.properties
- run start.sh
- run start.sh、stop.sh、 restart.sh、 status.sh
- `how to configure config.properties`
#spark and yarn config
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To Run Piflow Web
- https://github.com/cas-bigdatalab/piflow-web
To Use
Use with command line
- command line
- flow config example
{
"flow":{
"name":"test",