Declarative workflows for building Spark Streaming / Spark batch programe / Spark SQL Server

Spark Streaming

Spark Streaming is an extension of the core Spark API that enables stream processing from a variety of sources. Spark is a extensible and programmable framework for massive distributed processing of datasets, called Resilient Distributed Datasets (RDD). Spark Streaming receives input data streams and divides the data into batches, which are then processed by the Spark engine to generate the results.

Spark Streaming data is organized into a sequence of DStreams, represented internally as a sequence of RDDs.

StreamingPro

StreamingPro is not only a complete application, but also a extensible and programmable framework for spark streaming (also include spark,storm) that can easily be used to build your streaming application.

StreamingPro also make it possible that all you should do to build streaming program is assembling components(eg. SQL Component) in configuration file.

Features

• Pure Spark Streaming(Or normal Spark) program (Storm in future)
• No need of coding, only declarative workflows
• Rest API for interactive
• SQL-Oriented workflows support
• Data continuously streamed in & processed in near real-time
• dynamically CURD of workflows at runtime via Rest API
• Flexible workflows (input, output, parsers, etc...)
• High performance
• Scalable

downloads

Precomile version based on Spark 1.6.1 ： http://share.weiyun.com/1bc7116e6dedc61962131558f4de62eb

Precomile version based on Spark 1.5.1 ： http://share.weiyun.com/ae04f46d42af3025be00ebf0d83e8a53

Precomile version based on Spark 2.0.0: http://share.weiyun.com/7b767c1efb4c342c523facda9b70783e

Spark 2.0 based on Scala 2.10

Documents

• Three steps to run your first application
• 三步跑起你的第一个应用
• 利用StreamingPro实现SQL-交互式查询
• 使用Spark SQL 构建流式处理程序
• 使用Spark SQL构建批处理程序
• 流式计算常见模块用法说明
• 用线性回归无编码实现文章浏览数预测
• Properties
• Build
• Run your first application
• Submit application
• dynamically CURD of workflows at runtime via Rest API
• Recovery
• Useful modules introduction
• Other runtime support

Architecture

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Declarative workflows for building Spark Streaming

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Implementation

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