Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Spring Cloud Data Flow是一个用于构建数据集成和实时数据处理的管道的工具。
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics.
管道由使用Spring Cloud Stream或Spring Cloud Task微服务框架构建的Spring Boot应用组成。使得Spring Cloud Data Flow适用于一些数据处理案例，从导入/导出到事件流和预测分析。
Overview
The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy pipelines onto modern runtimes such as Cloud Foundry, Kubernetes, Apache Mesos or Apache YARN.
A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation.
Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
A simple stream pipeline DSL makes it easy to specify which apps to deploy and how to connect outputs and inputs. A new composed task DSL was added in v1.2.
The dashboard offers a graphical editor for building new pipelines interactively, as well as views of deployable apps and running apps with metrics.
The Spring Could Data Flow server exposes a REST API for composing and deploying data pipelines. A separate shell makes it easy to work with the API from the command line.
database
数据库相关脚本在spring-cloud-dataflow-server-core-1.6.2.RELEASE.jar/schemas/目录下，比如：batch_task_indexes.sql、common.sql、deployment.sql、jpa.sql、streams.sql和tasks.sql。
共计7张表：
DEPLOYMENT_IDS
APP_REGISTRATION
hibernate_sequence
STREAM_DEFINITIONS
STREAM_DEPLOYMENTS
TASK_DEFINITIONS
URI_REGISTRY