Spring Cloud Data Flow Reference Guide
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Spring Cloud Data Flow Reference Guide

Sabby Anandan, Marius Bogoevici, Eric Bottard, Mark Fisher, Ilayaperumal Gopinathan, Gunnar Hillert, Mark Pollack, Patrick Peralta, Glenn Renfro, Thomas Risberg, Dave Syer, David Turanski, Janne Valkealahti

1.0.0.M1

Copies of this document may be made for your own use and for distribution to others, provided that you do not charge any fee for such copies and further provided that each copy contains this Copyright Notice, whether distributed in print or electronically.

Table of Contents

I. Spring Cloud Data Flow Overview

1. About the documentation

2. Getting help

3. Introducing Spring Cloud Data Flow

3.1. Features

4. Spring Cloud Data Flow Architecture

4.1. Components

II. Getting started

5. System Requirements

6. Building Spring Cloud Data Flow

7. Deploying Spring Cloud Data Flow

7.1. Deploying 'local'
7.2. Deploying on Lattice
7.3. Deploying on Cloud Foundry
7.4. Deploying on YARN

III. Spring Cloud Stream Overview

8. Introducing Spring Cloud Stream

8.1. Multiple Input or Output Channels

8.2. Samples

8.3. Module or App

8.3.1. Fat JAR

8.4. Making Standalone Modules Talk to Each Other

IV. Using Spring Cloud Stream Modules

9. Sources

9.1. FTP (ftp)

9.1.1. Options

9.2. HTTP (http)

9.3. Time (time)

9.4. Twitter Stream (twitterstream)

10. Processors

10.1. Filter (filter)

10.1.1. Filter with SpEL expression

10.2. groovy-filter

10.3. groovy-transform

10.4. Transform (transform)

10.4.1. Transform with SpEL expression

11. Sinks

11.1. Counter (counter)

11.2. Hadoop (HDFS) (hdfs)

11.2.1. Options

11.2.2. Partition Path Expression

Accessing Properties
Custom Methods

11.3. Log (log)

11.4. Redis (redis)

11.4.1. Options

12. Tasks

12.1. Timestamp (timestamp)