Spring系列学习之Spring Cloud Stream App Starters 应用程序启动器

英文原文：https://cloud.spring.io/spring-cloud-stream-app-starters/

目录

Spring Cloud Stream App Starters

特性

可用应用

快速开始

使用Spring Boot 1.5.x + Spring Cloud Stream 1.3.x：

使用Spring Boot 2.0.x + Spring Cloud Stream 2.0.x:

使用Spring Boot 2.1.x + Spring Cloud Stream 2.1.x:

HTTP Repository Location for Apps

RabbitMQ Apps

Apache Kafka Apps

发布版本

相关项目

---

Spring Cloud Stream App Starters

Spring Cloud Stream Application Starters是基于Spring Boot的Spring Integration应用程序，可提供与外部系统的集成。 Spring Cloud Stream应用程序可与Spring Cloud Data Flow一起使用，以创建，部署和编排消息驱动的微服务应用程序。

Spring Cloud Stream Application Starters是独立的可执行应用程序，可通过Apache Kafka和RabbitMQ等消息传递中间件进行通信。 这些应用程序可以在各种运行时平台上独立运行，包括：Cloud Foundry，Apache Yarn，Apache Mesos，Kubernetes，Docker，甚至可以在您的笔记本电脑上运行。

特性

•      独立运行作为Spring Boot应用程序
•      将微服务组合为Spring Cloud Data Flow中的流管道
•      将微服务应用程序用作maven或docker工件
•      通过命令行，环境变量或YAML文件覆盖配置参数
•      提供基础架构以单独测试应用程序
•      从此版本的Spring Initializr下载为初学者

可用应用

Source	Processor	Sink
file	aggregator	aggregate-counter
ftp	bridge	cassandra
gemfire	filter	counter
gemfire-cq	groovy-filter	field-value-counter
http	groovy-transform	file
jdbc	header-enricher	ftp
jms	httpclient	gemfire
load-generator	pmml	gpfdist
loggregator	python-http	hdfs
mail	python-jython	hdfs-dataset
mongodb	scriptable-transform	jdbc
mqtt	splitter	log
rabbit	tasklaunchrequest-transform	mongodb
s3	tcp-client	mqtt
sftp	tensorflow	pgcopy
syslog	transform	rabbit
tcp	twitter-sentiment	redis-pubsub
tcp-client	grpc	router
time		s3
trigger		sftp
triggertask		task-launcher-cloudfoundry
twitterstream		task-launcher-local
		task-launcher-dataflow
		task-launcher-yarn
		tcp
		throughput
		websocket

 

快速开始

第1步 - 从这里下载最新的基于Kafka 10的时间源应用程序[例如：/1.3.0.RELEASE/time-source-kafka-10-1.3.0.RELEASE.jar]

第2步 - 从这里下载最新的基于Kafka 10的日志接收器应用程序[例如：/1.3.0.RELEASE/log-sink-kafka-10-1.3.0.RELEASE.jar]

第3步 - 启动Kafka 0.10.1.1

第4步 - 运行时间源并绑定到ticktock主题

java -jar time-source-kafka-***.jar --spring.cloud.stream.bindings.output.destination=ticktock

第5步 - 运行Log Sink并绑定到ticktock主题

java -jar log-sink-kafka-***.jar --spring.cloud.stream.bindings.input.destination=ticktock

第6步- 在控制台中验证ticktock日志
流应用程序启动器和Spring云数据流（**）

使用Spring Boot 1.5.x + Spring Cloud Stream 1.3.x：

Artifact Type	Stable Release	Snapshot/Milestone Release
RabbitMQ + Maven	http://bit.ly/Celsius-SR3-stream-applications-rabbit-maven	http://bit.ly/Celsius-BUILD-SNAPSHOT-stream-applications-rabbit-maven
RabbitMQ + Docker	http://bit.ly/Celsius-SR3-stream-applications-rabbit-docker	http://bit.ly/Celsius-BUILD-SNAPSHOT-stream-applications-rabbit-docker
Apache Kafka 0.10 + Maven	http://bit.ly/Celsius-SR3-stream-applications-kafka-10-maven	http://bit.ly/Celsius-BUILD-SNAPSHOT-stream-applications-kafka-10-maven
Apache Kafka 0.10 + Docker	http://bit.ly/Celsius-SR3-stream-applications-kafka-10-docker	http://bit.ly/Celsius-BUILD-SNAPSHOT-stream-applications-kafka-10-docker

使用Spring Boot 2.0.x + Spring Cloud Stream 2.0.x:

Artifact Type	Stable Release	Snapshot/Milestone Release
RabbitMQ + Maven	http://bit.ly/Darwin-SR3-stream-applications-rabbit-maven	http://bit.ly/Darwin-BUILD-SNAPSHOT-stream-applications-rabbit-maven
RabbitMQ + Docker	http://bit.ly/Darwin-SR3-stream-applications-rabbit-docker	http://bit.ly/Darwin-BUILD-SNAPSHOT-stream-applications-rabbit-docker
Apache Kafka + Maven	http://bit.ly/Darwin-SR3-stream-applications-kafka-maven	http://bit.ly/Darwin-BUILD-SNAPSHOT-stream-applications-kafka-maven
Apache Kafka + Docker	http://bit.ly/Darwin-SR3-stream-applications-kafka-docker	http://bit.ly/Darwin-BUILD-SNAPSHOT-stream-applications-kafka-docker

使用Spring Boot 2.1.x + Spring Cloud Stream 2.1.x:

Artifact Type	Milestone Release	Snapshot Release
RabbitMQ + Maven	http://bit.ly/Einstein-M1-stream-applications-rabbit-maven	http://bit.ly/Einstein-BUILD-SNAPSHOT-stream-applications-rabbit-maven
RabbitMQ + Docker	http://bit.ly/Einstein-M1-stream-applications-rabbit-docker	http://bit.ly/Einstein-BUILD-SNAPSHOT-stream-applications-rabbit-docker
Apache Kafka + Maven	http://bit.ly/Einstein-M1-stream-applications-kafka-maven	http://bit.ly/Einstein-BUILD-SNAPSHOT-stream-applications-kafka-maven
Apache Kafka + Docker	http://bit.ly/Einstein-M1-stream-applications-kafka-docker	http://bit.ly/Einstein-BUILD-SNAPSHOT-stream-applications-kafka-docker

 （**）通过查看参考指南中的应用程序注册部分，了解如何在Spring Cloud Data Flow中使用app-starters

HTTP Repository Location for Apps

RabbitMQ Apps

With Spring Boot 1.5.x:

• Stable Release
• Latest Snapshot

With Spring Boot 2.0.x:

• Stable Release
• Latest Snapshot

Apache Kafka Apps

With Spring Boot 1.5.x:

• Stable Release
• Latest Snapshot

With Spring Boot 2.0.x:

• Stable Release
• Latest Snapshot

With Spring Boot 2.1.x:

• Milestone Release
• Latest Snapshot

 

发布版本

Spring Cloud Stream App Starters

Release

Documentation

Einstein M1

Reference API

Einstein

Reference API

Darwin SR3

Reference API

Darwin

Reference API

Celsius SR3

Reference API

相关项目

• Spring Cloud Stream
• Spring Cloud Data Flow
• Spring Cloud Task