From 1f57b20f472a4258a64392210659a8d81d912a08 Mon Sep 17 00:00:00 2001 From: buildmaster Date: Fri, 22 Nov 2019 11:18:16 +0000 Subject: [PATCH] Sync docs from v3.0.0.RELEASE to gh-pages --- .../3.0.0.RELEASE/reference/html/README.html | 737 ++++++++ .../reference/html/aws-intro.html | 354 ++++ .../reference/html/aws-readme.html | 361 ++++ .../3.0.0.RELEASE/reference/html/aws.html | 478 +++++ .../reference/html/azure-intro.html | 305 ++++ .../reference/html/azure-readme.html | 322 ++++ .../3.0.0.RELEASE/reference/html/azure.html | 315 ++++ .../reference/html/css/spring.css | 1 + .../3.0.0.RELEASE/reference/html/favicon.ico | Bin 0 -> 111804 bytes .../reference/html/functional.html | 312 ++++ .../reference/html/getting-started.html | 152 ++ .../reference/html/images/remove.txt | 1 + .../3.0.0.RELEASE/reference/html/index.html | 178 ++ .../html/js/highlight/highlight.min.js | 2 + .../js/highlight/styles/a11y-dark.min.css | 99 ++ .../js/highlight/styles/an-old-hope.min.css | 89 + 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spring-cloud-function/3.0.0.RELEASE/reference/htmlsingle/js/tocbot/tocbot.min.js diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/README.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/README.html new file mode 100644 index 00000000..f52cd1e3 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/README.html @@ -0,0 +1,737 @@ + + + + + + + +Introduction + + + + + + + + + + +
+
+
+
+
+Build Status +
+
+
+
+
+

Introduction

+
+
+

Spring Cloud Function is a project with the following high-level goals:

+
+
+
    +
  • +

    Promote the implementation of business logic via functions.

    +
    • +
  • +

    Decouple the development lifecycle of business logic from any specific runtime target so that the same code can run as a web endpoint, a stream processor, or a task.

    +
    • +
  • +

    Support a uniform programming model across serverless providers, as well as the ability to run standalone (locally or in a PaaS).

    +
    • +
  • +

    Enable Spring Boot features (auto-configuration, dependency injection, metrics) on serverless providers.

    +
    • +
+
+
+

It abstracts away all of the transport details and +infrastructure, allowing the developer to keep all the familiar tools +and processes, and focus firmly on business logic.

+
+
+

Here’s a complete, executable, testable Spring Boot application +(implementing a simple string manipulation):

+
+
+
+
@SpringBootApplication
+public class Application {
+
+  @Bean
+  public Function<Flux<String>, Flux<String>> uppercase() {
+    return flux -> flux.map(value -> value.toUpperCase());
+  }
+
+  public static void main(String[] args) {
+    SpringApplication.run(Application.class, args);
+  }
+}
+
+
+
+

It’s just a Spring Boot application, so it can be built, run and +tested, locally and in a CI build, the same way as any other Spring +Boot application. The Function is from java.util and Flux is a +Reactive Streams Publisher from +Project Reactor. The function can be +accessed over HTTP or messaging.

+
+
+

Spring Cloud Function has 4 main features:

+
+
+

In the nutshell Spring Cloud Function provides the following features: +1. Wrappers for @Beans of type Function, Consumer and +Supplier, exposing them to the outside world as either HTTP +endpoints and/or message stream listeners/publishers with RabbitMQ, Kafka etc.

+
+
+
    +
  • +

    Choice of programming styles - reactive, imperative or hybrid.

    +
    • +
  • +

    Function composition and adaptation (e.g., composing imperative functions with reactive).

    +
    • +
  • +

    Support for reactive function with multiple inputs and outputs allowing merging, joining and other complex streaming operation to be handled by functions.

    +
    • +
  • +

    Transparent type conversion of inputs and outputs.

    +
    • +
  • +

    Packaging functions for deployments, specific to the target platform (e.g., Project Riff, AWS Lambda and more)

    +
    • +
  • +

    Adapters to expose function to the outside world as HTTP endpoints etc.

    +
    • +
  • +

    Deploying a JAR file containing such an application context with an isolated classloader, so that you can pack them together in a single JVM.

    +
    • +
  • +

    Compiling strings which are Java function bodies into bytecode, and then turning them into @Beans that can be wrapped as above.

    +
    • +
  • +

    Adapters for AWS Lambda, Azure, Apache OpenWhisk and possibly other "serverless" service providers.

    +
    • +
+
+
+
+
+

Getting Started

+
+
+

Build from the command line (and "install" the samples):

+
+
+
+
$ ./mvnw clean install
+
+
+
+

(If you like to YOLO add -DskipTests.)

+
+
+

Run one of the samples, e.g.

+
+
+
+
$ java -jar spring-cloud-function-samples/function-sample/target/*.jar
+
+
+
+

This runs the app and exposes its functions over HTTP, so you can +convert a string to uppercase, like this:

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d Hello
+HELLO
+
+
+
+

You can convert multiple strings (a Flux<String>) by separating them +with new lines

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d 'Hello
+> World'
+HELLOWORLD
+
+
+
+

(You can use QJ in a terminal to insert a new line in a literal +string like that.)

+
+
+
+
+

Building

+
+
+

Basic Compile and Test

+
+

To build the source you will need to install JDK 1.7.

+
+
+

Spring Cloud uses Maven for most build-related activities, and you +should be able to get off the ground quite quickly by cloning the +project you are interested in and typing

+
+
+
+
$ ./mvnw install
+
+
+
+ + + + + +
+ + +You can also install Maven (>=3.3.3) yourself and run the mvn command +in place of ./mvnw in the examples below. If you do that you also +might need to add -P spring if your local Maven settings do not +contain repository declarations for spring pre-release artifacts. +
+
+
+ + + + + +
+ + +Be aware that you might need to increase the amount of memory +available to Maven by setting a MAVEN_OPTS environment variable with +a value like -Xmx512m -XX:MaxPermSize=128m. We try to cover this in +the .mvn configuration, so if you find you have to do it to make a +build succeed, please raise a ticket to get the settings added to +source control. +
+
+
+

For hints on how to build the project look in .travis.yml if there +is one. There should be a "script" and maybe "install" command. Also +look at the "services" section to see if any services need to be +running locally (e.g. mongo or rabbit). Ignore the git-related bits +that you might find in "before_install" since they’re related to setting git +credentials and you already have those.

+
+
+

The projects that require middleware generally include a +docker-compose.yml, so consider using +Docker Compose to run the middeware servers +in Docker containers. See the README in the +scripts demo +repository for specific instructions about the common cases of mongo, +rabbit and redis.

+
+
+ + + + + +
+ + +If all else fails, build with the command from .travis.yml (usually +./mvnw install). +
+
+
+
+

Documentation

+
+

The spring-cloud-build module has a "docs" profile, and if you switch +that on it will try to build asciidoc sources from +src/main/asciidoc. As part of that process it will look for a +README.adoc and process it by loading all the includes, but not +parsing or rendering it, just copying it to ${main.basedir} +(defaults to ${basedir}, i.e. the root of the project). If there are +any changes in the README it will then show up after a Maven build as +a modified file in the correct place. Just commit it and push the change.

+
+
+
+

Working with the code

+
+

If you don’t have an IDE preference we would recommend that you use +Spring Tools Suite or +Eclipse when working with the code. We use the +m2eclipse eclipse plugin for maven support. Other IDEs and tools +should also work without issue as long as they use Maven 3.3.3 or better.

+
+
+

Importing into eclipse with m2eclipse

+
+

We recommend the m2eclipse eclipse plugin when working with +eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse +marketplace".

+
+
+ + + + + +
+ + +Older versions of m2e do not support Maven 3.3, so once the +projects are imported into Eclipse you will also need to tell +m2eclipse to use the right profile for the projects. If you +see many different errors related to the POMs in the projects, check +that you have an up to date installation. If you can’t upgrade m2e, +add the "spring" profile to your settings.xml. Alternatively you can +copy the repository settings from the "spring" profile of the parent +pom into your settings.xml. +
+
+
+
+

Importing into eclipse without m2eclipse

+
+

If you prefer not to use m2eclipse you can generate eclipse project metadata using the +following command:

+
+
+
+
$ ./mvnw eclipse:eclipse
+
+
+
+

The generated eclipse projects can be imported by selecting import existing projects +from the file menu.

+
+
+
+
+
+
+

Contributing

+
+
+

Spring Cloud is released under the non-restrictive Apache 2.0 license, +and follows a very standard Github development process, using Github +tracker for issues and merging pull requests into master. If you want +to contribute even something trivial please do not hesitate, but +follow the guidelines below.

+
+
+

Sign the Contributor License Agreement

+
+

Before we accept a non-trivial patch or pull request we will need you to sign the +Contributor License Agreement. +Signing the contributor’s agreement does not grant anyone commit rights to the main +repository, but it does mean that we can accept your contributions, and you will get an +author credit if we do. Active contributors might be asked to join the core team, and +given the ability to merge pull requests.

+
+
+
+

Code of Conduct

+
+

This project adheres to the Contributor Covenant code of +conduct. By participating, you are expected to uphold this code. Please report +unacceptable behavior to spring-code-of-conduct@pivotal.io.

+
+
+
+

Code Conventions and Housekeeping

+
+

None of these is essential for a pull request, but they will all help. They can also be +added after the original pull request but before a merge.

+
+
+
    +
  • +

    Use the Spring Framework code format conventions. If you use Eclipse +you can import formatter settings using the +eclipse-code-formatter.xml file from the +Spring +Cloud Build project. If using IntelliJ, you can use the +Eclipse Code Formatter +Plugin to import the same file.

    +
    • +
  • +

    Make sure all new .java files to have a simple Javadoc class comment with at least an +@author tag identifying you, and preferably at least a paragraph on what the class is +for.

    +
    • +
  • +

    Add the ASF license header comment to all new .java files (copy from existing files +in the project)

    +
    • +
  • +

    Add yourself as an @author to the .java files that you modify substantially (more +than cosmetic changes).

    +
    • +
  • +

    Add some Javadocs and, if you change the namespace, some XSD doc elements.

    +
    • +
  • +

    A few unit tests would help a lot as well — someone has to do it.

    +
    • +
  • +

    If no-one else is using your branch, please rebase it against the current master (or +other target branch in the main project).

    +
    • +
  • +

    When writing a commit message please follow these conventions, +if you are fixing an existing issue please add Fixes gh-XXXX at the end of the commit +message (where XXXX is the issue number).

    +
    • +
+
+
+
+

Checkstyle

+
+

Spring Cloud Build comes with a set of checkstyle rules. You can find them in the spring-cloud-build-tools module. The most notable files under the module are:

+
+
+
spring-cloud-build-tools/
+
+
└── src
+    ├── checkstyle
+    │   └── checkstyle-suppressions.xml (3)
+    └── main
+        └── resources
+            ├── checkstyle-header.txt (2)
+            └── checkstyle.xml (1)
+
+
+
+ + + + + + + + + + + + + +
1Default Checkstyle rules
2File header setup
3Default suppression rules
+
+
+

Checkstyle configuration

+
+

Checkstyle rules are disabled by default. To add checkstyle to your project just define the following properties and plugins.

+
+
+
pom.xml
+
+
<properties>
+<maven-checkstyle-plugin.failsOnError>true</maven-checkstyle-plugin.failsOnError> (1)
+        <maven-checkstyle-plugin.failsOnViolation>true
+        </maven-checkstyle-plugin.failsOnViolation> (2)
+        <maven-checkstyle-plugin.includeTestSourceDirectory>true
+        </maven-checkstyle-plugin.includeTestSourceDirectory> (3)
+</properties>
+
+<build>
+        <plugins>
+            <plugin> (4)
+                <groupId>io.spring.javaformat</groupId>
+                <artifactId>spring-javaformat-maven-plugin</artifactId>
+            </plugin>
+            <plugin> (5)
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-checkstyle-plugin</artifactId>
+            </plugin>
+        </plugins>
+
+    <reporting>
+        <plugins>
+            <plugin> (5)
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-checkstyle-plugin</artifactId>
+            </plugin>
+        </plugins>
+    </reporting>
+</build>
+
+
+
+ + + + + + + + + + + + + + + + + + + + + +
1Fails the build upon Checkstyle errors
2Fails the build upon Checkstyle violations
3Checkstyle analyzes also the test sources
4Add the Spring Java Format plugin that will reformat your code to pass most of the Checkstyle formatting rules
5Add checkstyle plugin to your build and reporting phases
+
+
+

If you need to suppress some rules (e.g. line length needs to be longer), then it’s enough for you to define a file under ${project.root}/src/checkstyle/checkstyle-suppressions.xml with your suppressions. Example:

+
+
+
projectRoot/src/checkstyle/checkstyle-suppresions.xml
+
+
<?xml version="1.0"?>
+<!DOCTYPE suppressions PUBLIC
+		"-//Puppy Crawl//DTD Suppressions 1.1//EN"
+		"https://www.puppycrawl.com/dtds/suppressions_1_1.dtd">
+<suppressions>
+	<suppress files=".*ConfigServerApplication\.java" checks="HideUtilityClassConstructor"/>
+	<suppress files=".*ConfigClientWatch\.java" checks="LineLengthCheck"/>
+</suppressions>
+
+
+
+

It’s advisable to copy the ${spring-cloud-build.rootFolder}/.editorconfig and ${spring-cloud-build.rootFolder}/.springformat to your project. That way, some default formatting rules will be applied. You can do so by running this script:

+
+
+
+
$ curl https://raw.githubusercontent.com/spring-cloud/spring-cloud-build/master/.editorconfig -o .editorconfig
+$ touch .springformat
+
+
+
+
+
+

IDE setup

+
+

Intellij IDEA

+
+

In order to setup Intellij you should import our coding conventions, inspection profiles and set up the checkstyle plugin. +The following files can be found in the Spring Cloud Build project.

+
+
+
spring-cloud-build-tools/
+
+
└── src
+    ├── checkstyle
+    │   └── checkstyle-suppressions.xml (3)
+    └── main
+        └── resources
+            ├── checkstyle-header.txt (2)
+            ├── checkstyle.xml (1)
+            └── intellij
+                ├── Intellij_Project_Defaults.xml (4)
+                └── Intellij_Spring_Boot_Java_Conventions.xml (5)
+
+
+
+ + + + + + + + + + + + + + + + + + + + + +
1Default Checkstyle rules
2File header setup
3Default suppression rules
4Project defaults for Intellij that apply most of Checkstyle rules
5Project style conventions for Intellij that apply most of Checkstyle rules
+
+
+
+Code style +
+
Figure 1. Code style
+
+
+

Go to File → Settings → Editor → Code style. There click on the icon next to the Scheme section. There, click on the Import Scheme value and pick the Intellij IDEA code style XML option. Import the spring-cloud-build-tools/src/main/resources/intellij/Intellij_Spring_Boot_Java_Conventions.xml file.

+
+
+
+Code style +
+
Figure 2. Inspection profiles
+
+
+

Go to File → Settings → Editor → Inspections. There click on the icon next to the Profile section. There, click on the Import Profile and import the spring-cloud-build-tools/src/main/resources/intellij/Intellij_Project_Defaults.xml file.

+
+
+
Checkstyle
+

To have Intellij work with Checkstyle, you have to install the Checkstyle plugin. It’s advisable to also install the Assertions2Assertj to automatically convert the JUnit assertions

+
+
+
+Checkstyle +
+
+
+

Go to File → Settings → Other settings → Checkstyle. There click on the + icon in the Configuration file section. There, you’ll have to define where the checkstyle rules should be picked from. In the image above, we’ve picked the rules from the cloned Spring Cloud Build repository. However, you can point to the Spring Cloud Build’s GitHub repository (e.g. for the checkstyle.xml : https://raw.githubusercontent.com/spring-cloud/spring-cloud-build/master/spring-cloud-build-tools/src/main/resources/checkstyle.xml). We need to provide the following variables:

+
+
+ +
+
+ + + + + +
+ + +Remember to set the Scan Scope to All sources since we apply checkstyle rules for production and test sources. +
+
+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-intro.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-intro.html new file mode 100644 index 00000000..95194676 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-intro.html @@ -0,0 +1,354 @@ + + + + + + + +AWS Lambda + + + + + + + + + + +
+
+

AWS Lambda

+
+

The AWS adapter takes a Spring Cloud Function app and converts it to a form that can run in AWS Lambda.

+
+
+

The adapter has a couple of generic request handlers that you can use. The most generic is SpringBootStreamHandler, which uses a Jackson ObjectMapper provided by Spring Boot to serialize and deserialize the objects in the function. There is also a SpringBootRequestHandler which you can extend, and provide the input and output types as type parameters (enabling AWS to inspect the class and do the JSON conversions itself).

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name (e.g. as FUNCTION_NAME environment variable in AWS). The functions are extracted from the Spring Cloud FunctionCatalog (searching first for Function then Consumer and finally Supplier).

+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web or Stream adapter at runtime in Lambda, so you might +need to exclude those before you create the JAR you send to AWS. A Lambda application has to be +shaded, but a Spring Boot standalone application does not, so you can run the same app using 2 +separate jars (as per the sample). The sample app creates 2 jar files, one with an aws +classifier for deploying in Lambda, and one executable (thin) jar that includes spring-cloud-function-web +at runtime. Spring Cloud Function will try and locate a "main class" for you from the JAR file +manifest, using the Start-Class attribute (which will be added for you by the Spring Boot +tooling if you use the starter parent). If there is no Start-Class in your manifest you can +use an environment variable or system property MAIN_CLASS when you deploy the function to AWS.

+
+
+

If you are not using the functional bean definitions but relying on Spring Boot’s auto-configuration, +then additional transformers must be configured as part of the maven-shade-plugin execution.

+
+
+
+
<plugin>
+	<groupId>org.apache.maven.plugins</groupId>
+	<artifactId>maven-shade-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-maven-plugin</artifactId>
+		</dependency>
+	</dependencies>
+	<configuration>
+		<createDependencyReducedPom>false</createDependencyReducedPom>
+		<shadedArtifactAttached>true</shadedArtifactAttached>
+		<shadedClassifierName>aws</shadedClassifierName>
+		<transformers>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.handlers</resource>
+			</transformer>
+			<transformer implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
+				<resource>META-INF/spring.factories</resource>
+			</transformer>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.schemas</resource>
+			</transformer>
+		</transformers>
+	</configuration>
+</plugin>
+
+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on AWS Lambda, you can leverage Maven or Gradle + plugins offered by the cloud platform provider.

+
+
+
Maven
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-aws</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

As pointed out in the Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Maven Shade Plugin for that. +The example of the setup can be found above.

+
+
+

You can use theSpring Boot Maven Plugin to generate the thin jar.

+
+
+
+
<plugin>
+	<groupId>org.springframework.boot</groupId>
+	<artifactId>spring-boot-maven-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot.experimental</groupId>
+			<artifactId>spring-boot-thin-layout</artifactId>
+			<version>${wrapper.version}</version>
+		</dependency>
+	</dependencies>
+</plugin>
+
+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to AWS Lambda with Maven here.

+
+
+
+
Gradle
+
+

In order to use the adapter plugin for Gradle, add the dependency to your build.gradle file:

+
+
+
+
dependencies {
+	compile("org.springframework.cloud:spring-cloud-function-adapter-aws:${version}")
+}
+
+
+
+

As pointed out in Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Gradle Shadow Plugin for that:

+
+
+
+
buildscript {
+	dependencies {
+		classpath "com.github.jengelman.gradle.plugins:shadow:${shadowPluginVersion}"
+	}
+}
+apply plugin: 'com.github.johnrengelman.shadow'
+
+assemble.dependsOn = [shadowJar]
+
+import com.github.jengelman.gradle.plugins.shadow.transformers.*
+
+shadowJar {
+	classifier = 'aws'
+	dependencies {
+		exclude(
+			dependency("org.springframework.cloud:spring-cloud-function-web:${springCloudFunctionVersion}"))
+	}
+	// Required for Spring
+	mergeServiceFiles()
+	append 'META-INF/spring.handlers'
+	append 'META-INF/spring.schemas'
+	append 'META-INF/spring.tooling'
+	transform(PropertiesFileTransformer) {
+		paths = ['META-INF/spring.factories']
+		mergeStrategy = "append"
+	}
+}
+
+
+
+

You can use the Spring Boot Gradle Plugin and Spring Boot Thin Gradle Plugin to generate +the thin jar.

+
+
+
+
buildscript {
+	dependencies {
+		classpath("org.springframework.boot.experimental:spring-boot-thin-gradle-plugin:${wrapperVersion}")
+		classpath("org.springframework.boot:spring-boot-gradle-plugin:${springBootVersion}")
+	}
+}
+apply plugin: 'org.springframework.boot'
+apply plugin: 'org.springframework.boot.experimental.thin-launcher'
+assemble.dependsOn = [thinJar]
+
+
+
+

You can find the entire sample build.gradle file for deploying Spring Cloud Function +applications to AWS Lambda with Gradle here.

+
+
+
+
+

Upload

+
+

Build the sample under spring-cloud-function-samples/function-sample-aws and upload the -aws jar file to Lambda. The handler can be example.Handler or org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler (FQN of the class, not a method reference, although Lambda does accept method references).

+
+
+
+
./mvnw -U clean package
+
+
+
+

Using the AWS command line tools it looks like this:

+
+
+
+
aws lambda create-function --function-name Uppercase --role arn:aws:iam::[USERID]:role/service-role/[ROLE] --zip-file fileb://function-sample-aws/target/function-sample-aws-2.0.0.BUILD-SNAPSHOT-aws.jar --handler org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler --description "Spring Cloud Function Adapter Example" --runtime java8 --region us-east-1 --timeout 30 --memory-size 1024 --publish
+
+
+
+

The input type for the function in the AWS sample is a Foo with a single property called "value". So you would need this to test it:

+
+
+
+
{
+  "value": "test"
+}
+
+
+
+ + + + + +
+ + +The AWS sample app is written in the "functional" style (as an ApplicationContextInitializer). This is much faster on startup in Lambda than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+

Type Conversion

+
+

Spring Cloud Function will attempt to transparently handle type conversion between the raw +input stream and types declared by your function.

+
+
+

For example, if your function signature is as such Function<Foo, Bar> we will attempt to convert +incoming stream event to an instance of Foo.

+
+
+

In the event type is not known or can not be determined (e.g., Function<?, ?>) we will attempt to +convert an incoming stream event to a generic Map.

+
+
+
Raw Input
+
+

There are times when you may want to have access to a raw input. In this case all you need is to declare your +function signature to accept InputStream. For example, Function<InputStream, ?>. In this case +we will not attempt any conversion and will pass the raw input directly to a function.

+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-readme.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-readme.html new file mode 100644 index 00000000..f1db0b66 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws-readme.html @@ -0,0 +1,361 @@ + + + + + + + +AWS Lambda + + + + + + + + + + +
+
+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto AWS Lambda. You can write an app with a single @Bean of type Function, Consumer or Supplier and it will be deployable in AWS if you get the JAR file laid out right. The best way to make it work is to include spring-cloud-function-context as a dependency, but not the higher level adapters (e.g. spring-cloud-function-stream).

+
+
+
+
+

AWS Lambda

+
+

The AWS adapter takes a Spring Cloud Function app and converts it to a form that can run in AWS Lambda.

+
+
+

The adapter has a couple of generic request handlers that you can use. The most generic is SpringBootStreamHandler, which uses a Jackson ObjectMapper provided by Spring Boot to serialize and deserialize the objects in the function. There is also a SpringBootRequestHandler which you can extend, and provide the input and output types as type parameters (enabling AWS to inspect the class and do the JSON conversions itself).

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name (e.g. as FUNCTION_NAME environment variable in AWS). The functions are extracted from the Spring Cloud FunctionCatalog (searching first for Function then Consumer and finally Supplier).

+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web or Stream adapter at runtime in Lambda, so you might +need to exclude those before you create the JAR you send to AWS. A Lambda application has to be +shaded, but a Spring Boot standalone application does not, so you can run the same app using 2 +separate jars (as per the sample). The sample app creates 2 jar files, one with an aws +classifier for deploying in Lambda, and one executable (thin) jar that includes spring-cloud-function-web +at runtime. Spring Cloud Function will try and locate a "main class" for you from the JAR file +manifest, using the Start-Class attribute (which will be added for you by the Spring Boot +tooling if you use the starter parent). If there is no Start-Class in your manifest you can +use an environment variable or system property MAIN_CLASS when you deploy the function to AWS.

+
+
+

If you are not using the functional bean definitions but relying on Spring Boot’s auto-configuration, +then additional transformers must be configured as part of the maven-shade-plugin execution.

+
+
+
+
<plugin>
+	<groupId>org.apache.maven.plugins</groupId>
+	<artifactId>maven-shade-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-maven-plugin</artifactId>
+		</dependency>
+	</dependencies>
+	<configuration>
+		<createDependencyReducedPom>false</createDependencyReducedPom>
+		<shadedArtifactAttached>true</shadedArtifactAttached>
+		<shadedClassifierName>aws</shadedClassifierName>
+		<transformers>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.handlers</resource>
+			</transformer>
+			<transformer implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
+				<resource>META-INF/spring.factories</resource>
+			</transformer>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.schemas</resource>
+			</transformer>
+		</transformers>
+	</configuration>
+</plugin>
+
+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on AWS Lambda, you can leverage Maven or Gradle + plugins offered by the cloud platform provider.

+
+
+
Maven
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-aws</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

As pointed out in the Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Maven Shade Plugin for that. +The example of the setup can be found above.

+
+
+

You can use theSpring Boot Maven Plugin to generate the thin jar.

+
+
+
+
<plugin>
+	<groupId>org.springframework.boot</groupId>
+	<artifactId>spring-boot-maven-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot.experimental</groupId>
+			<artifactId>spring-boot-thin-layout</artifactId>
+			<version>${wrapper.version}</version>
+		</dependency>
+	</dependencies>
+</plugin>
+
+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to AWS Lambda with Maven here.

+
+
+
+
Gradle
+
+

In order to use the adapter plugin for Gradle, add the dependency to your build.gradle file:

+
+
+
+
dependencies {
+	compile("org.springframework.cloud:spring-cloud-function-adapter-aws:${version}")
+}
+
+
+
+

As pointed out in Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Gradle Shadow Plugin for that:

+
+
+
+
buildscript {
+	dependencies {
+		classpath "com.github.jengelman.gradle.plugins:shadow:${shadowPluginVersion}"
+	}
+}
+apply plugin: 'com.github.johnrengelman.shadow'
+
+assemble.dependsOn = [shadowJar]
+
+import com.github.jengelman.gradle.plugins.shadow.transformers.*
+
+shadowJar {
+	classifier = 'aws'
+	dependencies {
+		exclude(
+			dependency("org.springframework.cloud:spring-cloud-function-web:${springCloudFunctionVersion}"))
+	}
+	// Required for Spring
+	mergeServiceFiles()
+	append 'META-INF/spring.handlers'
+	append 'META-INF/spring.schemas'
+	append 'META-INF/spring.tooling'
+	transform(PropertiesFileTransformer) {
+		paths = ['META-INF/spring.factories']
+		mergeStrategy = "append"
+	}
+}
+
+
+
+

You can use the Spring Boot Gradle Plugin and Spring Boot Thin Gradle Plugin to generate +the thin jar.

+
+
+
+
buildscript {
+	dependencies {
+		classpath("org.springframework.boot.experimental:spring-boot-thin-gradle-plugin:${wrapperVersion}")
+		classpath("org.springframework.boot:spring-boot-gradle-plugin:${springBootVersion}")
+	}
+}
+apply plugin: 'org.springframework.boot'
+apply plugin: 'org.springframework.boot.experimental.thin-launcher'
+assemble.dependsOn = [thinJar]
+
+
+
+

You can find the entire sample build.gradle file for deploying Spring Cloud Function +applications to AWS Lambda with Gradle here.

+
+
+
+
+

Upload

+
+

Build the sample under spring-cloud-function-samples/function-sample-aws and upload the -aws jar file to Lambda. The handler can be example.Handler or org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler (FQN of the class, not a method reference, although Lambda does accept method references).

+
+
+
+
./mvnw -U clean package
+
+
+
+

Using the AWS command line tools it looks like this:

+
+
+
+
aws lambda create-function --function-name Uppercase --role arn:aws:iam::[USERID]:role/service-role/[ROLE] --zip-file fileb://function-sample-aws/target/function-sample-aws-2.0.0.BUILD-SNAPSHOT-aws.jar --handler org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler --description "Spring Cloud Function Adapter Example" --runtime java8 --region us-east-1 --timeout 30 --memory-size 1024 --publish
+
+
+
+

The input type for the function in the AWS sample is a Foo with a single property called "value". So you would need this to test it:

+
+
+
+
{
+  "value": "test"
+}
+
+
+
+ + + + + +
+ + +The AWS sample app is written in the "functional" style (as an ApplicationContextInitializer). This is much faster on startup in Lambda than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+

Type Conversion

+
+

Spring Cloud Function will attempt to transparently handle type conversion between the raw +input stream and types declared by your function.

+
+
+

For example, if your function signature is as such Function<Foo, Bar> we will attempt to convert +incoming stream event to an instance of Foo.

+
+
+

In the event type is not known or can not be determined (e.g., Function<?, ?>) we will attempt to +convert an incoming stream event to a generic Map.

+
+
+
Raw Input
+
+

There are times when you may want to have access to a raw input. In this case all you need is to declare your +function signature to accept InputStream. For example, Function<InputStream, ?>. In this case +we will not attempt any conversion and will pass the raw input directly to a function.

+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/aws.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws.html new file mode 100644 index 00000000..0c585ea1 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/aws.html @@ -0,0 +1,478 @@ + + + + + + + +Introduction + + + + + + + + + + +
+
+
+
+

3.0.0.RELEASE

+
+
+

The AWS adapter takes a Spring Cloud Function app and converts it to a form that can run in AWS Lambda.

+
+
+
+
+

Introduction

+
+
+

AWS Lambda

+
+

The AWS adapter takes a Spring Cloud Function app and converts it to a form that can run in AWS Lambda.

+
+
+

The adapter has a couple of generic request handlers that you can use. The most generic is SpringBootStreamHandler, which uses a Jackson ObjectMapper provided by Spring Boot to serialize and deserialize the objects in the function. There is also a SpringBootRequestHandler which you can extend, and provide the input and output types as type parameters (enabling AWS to inspect the class and do the JSON conversions itself).

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name (e.g. as FUNCTION_NAME environment variable in AWS). The functions are extracted from the Spring Cloud FunctionCatalog (searching first for Function then Consumer and finally Supplier).

+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web or Stream adapter at runtime in Lambda, so you might +need to exclude those before you create the JAR you send to AWS. A Lambda application has to be +shaded, but a Spring Boot standalone application does not, so you can run the same app using 2 +separate jars (as per the sample). The sample app creates 2 jar files, one with an aws +classifier for deploying in Lambda, and one executable (thin) jar that includes spring-cloud-function-web +at runtime. Spring Cloud Function will try and locate a "main class" for you from the JAR file +manifest, using the Start-Class attribute (which will be added for you by the Spring Boot +tooling if you use the starter parent). If there is no Start-Class in your manifest you can +use an environment variable or system property MAIN_CLASS when you deploy the function to AWS.

+
+
+

If you are not using the functional bean definitions but relying on Spring Boot’s auto-configuration, +then additional transformers must be configured as part of the maven-shade-plugin execution.

+
+
+
+
<plugin>
+	<groupId>org.apache.maven.plugins</groupId>
+	<artifactId>maven-shade-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-maven-plugin</artifactId>
+		</dependency>
+	</dependencies>
+	<configuration>
+		<createDependencyReducedPom>false</createDependencyReducedPom>
+		<shadedArtifactAttached>true</shadedArtifactAttached>
+		<shadedClassifierName>aws</shadedClassifierName>
+		<transformers>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.handlers</resource>
+			</transformer>
+			<transformer implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
+				<resource>META-INF/spring.factories</resource>
+			</transformer>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.schemas</resource>
+			</transformer>
+		</transformers>
+	</configuration>
+</plugin>
+
+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on AWS Lambda, you can leverage Maven or Gradle + plugins offered by the cloud platform provider.

+
+
+
Maven
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-aws</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

As pointed out in the Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Maven Shade Plugin for that. +The example of the setup can be found above.

+
+
+

You can use theSpring Boot Maven Plugin to generate the thin jar.

+
+
+
+
<plugin>
+	<groupId>org.springframework.boot</groupId>
+	<artifactId>spring-boot-maven-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot.experimental</groupId>
+			<artifactId>spring-boot-thin-layout</artifactId>
+			<version>${wrapper.version}</version>
+		</dependency>
+	</dependencies>
+</plugin>
+
+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to AWS Lambda with Maven here.

+
+
+
+
Gradle
+
+

In order to use the adapter plugin for Gradle, add the dependency to your build.gradle file:

+
+
+
+
dependencies {
+	compile("org.springframework.cloud:spring-cloud-function-adapter-aws:${version}")
+}
+
+
+
+

As pointed out in Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Gradle Shadow Plugin for that:

+
+
+
+
buildscript {
+	dependencies {
+		classpath "com.github.jengelman.gradle.plugins:shadow:${shadowPluginVersion}"
+	}
+}
+apply plugin: 'com.github.johnrengelman.shadow'
+
+assemble.dependsOn = [shadowJar]
+
+import com.github.jengelman.gradle.plugins.shadow.transformers.*
+
+shadowJar {
+	classifier = 'aws'
+	dependencies {
+		exclude(
+			dependency("org.springframework.cloud:spring-cloud-function-web:${springCloudFunctionVersion}"))
+	}
+	// Required for Spring
+	mergeServiceFiles()
+	append 'META-INF/spring.handlers'
+	append 'META-INF/spring.schemas'
+	append 'META-INF/spring.tooling'
+	transform(PropertiesFileTransformer) {
+		paths = ['META-INF/spring.factories']
+		mergeStrategy = "append"
+	}
+}
+
+
+
+

You can use the Spring Boot Gradle Plugin and Spring Boot Thin Gradle Plugin to generate +the thin jar.

+
+
+
+
buildscript {
+	dependencies {
+		classpath("org.springframework.boot.experimental:spring-boot-thin-gradle-plugin:${wrapperVersion}")
+		classpath("org.springframework.boot:spring-boot-gradle-plugin:${springBootVersion}")
+	}
+}
+apply plugin: 'org.springframework.boot'
+apply plugin: 'org.springframework.boot.experimental.thin-launcher'
+assemble.dependsOn = [thinJar]
+
+
+
+

You can find the entire sample build.gradle file for deploying Spring Cloud Function +applications to AWS Lambda with Gradle here.

+
+
+
+
+

Upload

+
+

Build the sample under spring-cloud-function-samples/function-sample-aws and upload the -aws jar file to Lambda. The handler can be example.Handler or org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler (FQN of the class, not a method reference, although Lambda does accept method references).

+
+
+
+
./mvnw -U clean package
+
+
+
+

Using the AWS command line tools it looks like this:

+
+
+
+
aws lambda create-function --function-name Uppercase --role arn:aws:iam::[USERID]:role/service-role/[ROLE] --zip-file fileb://function-sample-aws/target/function-sample-aws-2.0.0.BUILD-SNAPSHOT-aws.jar --handler org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler --description "Spring Cloud Function Adapter Example" --runtime java8 --region us-east-1 --timeout 30 --memory-size 1024 --publish
+
+
+
+

The input type for the function in the AWS sample is a Foo with a single property called "value". So you would need this to test it:

+
+
+
+
{
+  "value": "test"
+}
+
+
+
+ + + + + +
+ + +The AWS sample app is written in the "functional" style (as an ApplicationContextInitializer). This is much faster on startup in Lambda than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+

Type Conversion

+
+

Spring Cloud Function will attempt to transparently handle type conversion between the raw +input stream and types declared by your function.

+
+
+

For example, if your function signature is as such Function<Foo, Bar> we will attempt to convert +incoming stream event to an instance of Foo.

+
+
+

In the event type is not known or can not be determined (e.g., Function<?, ?>) we will attempt to +convert an incoming stream event to a generic Map.

+
+
+
Raw Input
+
+

There are times when you may want to have access to a raw input. In this case all you need is to declare your +function signature to accept InputStream. For example, Function<InputStream, ?>. In this case +we will not attempt any conversion and will pass the raw input directly to a function.

+
+
+
+
+
+
+
+

Functional Bean Definitions

+
+
+

Your functions will start much quicker if you can use functional bean definitions instead of @Bean. To do this make your main class +an ApplicationContextInitializer<GenericApplicationContext> and use the registerBean() methods in GenericApplicationContext to +create all the beans you need. You function need to be registered as a bean of type FunctionRegistration so that the input and +output types can be accessed by the framework. There is an example in github (the AWS sample is written in this style). It would +look something like this:

+
+
+
+
@SpringBootApplication
+public class FuncApplication implements ApplicationContextInitializer<GenericApplicationContext> {
+
+	public static void main(String[] args) throws Exception {
+		FunctionalSpringApplication.run(FuncApplication.class, args);
+	}
+
+	public Function<Foo, Bar> function() {
+		return value -> new Bar(value.uppercase()));
+	}
+
+	@Override
+	public void initialize(GenericApplicationContext context) {
+		context.registerBean("function", FunctionRegistration.class,
+			() -> new FunctionRegistration<Function<Foo, Bar>>(function())
+				.type(FunctionType.from(Foo.class).to(Bar.class).getType()));
+	}
+
+}
+
+
+
+
+
+

Platform Specific Features

+
+
+

HTTP and API Gateway

+
+

AWS has some platform-specific data types, including batching of messages, which is much more efficient than processing each one individually. To make use of these types you can write a function that depends on those types. Or you can rely on Spring to extract the data from the AWS types and convert it to a Spring Message. To do this you tell AWS that the function is of a specific generic handler type (depending on the AWS service) and provide a bean of type Function<Message<S>,Message<T>>, where S and T are your business data types. If there is more than one bean of type Function you may also need to configure the Spring Boot property function.name to be the name of the target bean (e.g. use FUNCTION_NAME as an environment variable).

+
+
+

The supported AWS services and generic handler types are listed below:

+
+ ++++++ + + + + + + + + + + + + + + + + + + + + + + +
ServiceAWS TypesGeneric Handler

API Gateway

APIGatewayProxyRequestEvent, APIGatewayProxyResponseEvent

org.springframework.cloud.function.adapter.aws.SpringBootApiGatewayRequestHandler

Kinesis

KinesisEvent

org.springframework.cloud.function.adapter.aws.SpringBootKinesisEventHandler

+
+

For example, to deploy behind an API Gateway, use --handler org.springframework.cloud.function.adapter.aws.SpringBootApiGatewayRequestHandler in your AWS command line (in via the UI) and define a @Bean of type Function<Message<Foo>,Message<Bar>> where Foo and Bar are POJO types (the data will be marshalled and unmarshalled by AWS using Jackson).

+
+
+
+
+
+

Custom Runtime

+
+
+

An AWS Lambda custom runtime can be created really easily using the HTTP export features in Spring Cloud Function Web. To make this work just add Spring Cloud Function AWS and Spring Cloud Function Web as dependencies in your project and set the following in your application.properties:

+
+
+
+
spring.cloud.function.web.export.enabled=true
+
+
+
+

Set the handler name in AWS to the name of your function. Then provide a bootstrap script in the root of your zip/jar that runs the Spring Boot application. The functional bean definition style works for custom runtimes too, and is faster than the @Bean style, so the example FuncApplication above would work. A custom runtime can start up much quicker even than a functional bean implementation of a Java lambda - it depends mostly on the number of classes you need to load at runtime. Spring doesn’t do very much here, so you can reduce the cold start time by only using primitive types in your function, for instance, and not doing any work in custom @PostConstruct initializers.

+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-intro.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-intro.html new file mode 100644 index 00000000..2fc20c37 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-intro.html @@ -0,0 +1,305 @@ + + + + + + + +Microsoft Azure + + + + + + + + + + +
+
+

Microsoft Azure

+
+

The Azure adapter bootstraps a Spring Cloud Function context and channels function calls from the Azure framework into the user functions, using Spring Boot configuration where necessary. Azure Functions has quite a unique, but invasive programming model, involving annotations in user code that are specific to the platform. The easiest way to use it with Spring Cloud is to extend a base class and write a method in it with the @FunctionName annotation which delegates to a base class method.

+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto Azure. +You can write an app with a single @Bean of type Function and it will be deployable in Azure if you get the JAR file laid out right.

+
+
+

There is an AzureSpringBootRequestHandler which you must extend, and provide the input and output types as annotated method parameters (enabling Azure to inspect the class and create JSON bindings). The base class has two useful methods (handleRequest and handleOutput) to which you can delegate the actual function call, so mostly the function will only ever have one line.

+
+
+

Example:

+
+
+
+
public class FooHandler extends AzureSpringBootRequestHandler<Foo, Bar> {
+	@FunctionName("uppercase")
+	public Bar execute(
+			@HttpTrigger(name = "req", methods = { HttpMethod.GET,
+					HttpMethod.POST }, authLevel = AuthorizationLevel.ANONYMOUS)
+                    Foo foo,
+			ExecutionContext context) {
+		return handleRequest(foo, context);
+	}
+}
+
+
+
+

This Azure handler will delegate to a Function<Foo,Bar> bean (or a Function<Publisher<Foo>,Publisher<Bar>>). Some Azure triggers (e.g. @CosmosDBTrigger) result in a input type of List and in that case you can bind to List in the Azure handler, or String (the raw JSON). The List input delegates to a Function with input type Map<String,Object>, or Publisher or List of the same type. The output of the Function can be a List (one-for-one) or a single value (aggregation), and the output binding in the Azure declaration should match.

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name. Or if you make the @FunctionName in the Azure handler method match the function name it should work that way (also for function apps with multiple functions). The functions are extracted from the Spring Cloud FunctionCatalog so the default function names are the same as the bean names.

+
+
+

Accessing Azure ExecutionContext

+
+

Some time there is a need to access the target execution context provided by Azure runtime in the form of com.microsoft.azure.functions.ExecutionContext. +For example one of such needs is logging, so it can appear in the Azure console.

+
+
+

For that purpose Spring Cloud Function will register ExecutionContext as bean in the Application context, so it could be injected into your function. +For example

+
+
+
+
@Bean
+public Function<Foo, Bar> uppercase(ExecutionContext targetContext) {
+	return foo -> {
+		targetContext.getLogger().info("Invoking 'uppercase' on " + foo.getValue());
+		return new Bar(foo.getValue().toUpperCase());
+	};
+}
+
+
+
+

Normally type-based injection should suffice, however if need to you can also utilise the bean name under which it is registered which is targetExecutionContext.

+
+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web at runtime in Azure, so you can exclude this +before you create the JAR you deploy to Azure, but it won’t be used if you include it, so +it doesn’t hurt to leave it in. A function application on Azure is an archive generated by + the Maven plugin. The function lives in the JAR file generated by this project. + The sample creates it as an executable jar, using the thin layout, so that Azure can find + the handler classes. If you prefer you can just use a regular flat JAR file. + The dependencies should not be included.

+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on Microsoft Azure, you can leverage the Maven +plugin offered by the cloud platform provider.

+
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-azure</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

Then, configure the plugin. You will need to provide Azure-specific configuration for your +application, specifying the resourceGroup, appName and other optional properties, and + add the package goal execution so that the function.json file required by Azure is + generated for you. Full plugin documentation can be found in the plugin repository.

+
+
+
+
<plugin>
+	<groupId>com.microsoft.azure</groupId>
+	<artifactId>azure-functions-maven-plugin</artifactId>
+	<configuration>
+		<resourceGroup>${functionResourceGroup}</resourceGroup>
+		<appName>${functionAppName}</appName>
+	</configuration>
+	<executions>
+		<execution>
+			<id>package-functions</id>
+			<goals>
+				<goal>package</goal>
+			</goals>
+		</execution>
+	</executions>
+</plugin>
+
+
+
+

You will also have to ensure that the files to be scanned by the plugin can be found in the +Azure functions staging directory (see the plugin repository + for more details on the staging directory and it’s default location).

+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to Microsoft Azure with Maven here.

+
+
+ + + + + +
+ + +As of yet, only Maven plugin is available. Gradle plugin has not been created by +the cloud platform provider. +
+
+
+
+

Build

+
+
+
./mvnw -U clean package
+
+
+
+
+

Running the sample

+
+

You can run the sample locally, just like the other Spring Cloud Function samples:

+
+
+
+
+

and curl -H "Content-Type: text/plain" localhost:8080/function -d '{"value": "hello foobar"}'.

+
+
+

You will need the az CLI app (see https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-java-maven for more detail). To deploy the function on Azure runtime:

+
+
+
+
$ az login
+$ mvn azure-functions:deploy
+
+
+
+

On another terminal try this: curl https://<azure-function-url-from-the-log>/api/uppercase -d '{"value": "hello foobar!"}'. Please ensure that you use the right URL for the function above. Alternatively you can test the function in the Azure Dashboard UI (click on the function name, go to the right hand side and click "Test" and to the bottom right, "Run").

+
+
+

The input type for the function in the Azure sample is a Foo with a single property called "value". So you need this to test it with something like below:

+
+
+
+
{
+  "value": "foobar"
+}
+
+
+
+ + + + + +
+ + +The Azure sample app is written in the "non-functional" style (using @Bean). The functional style (with just Function or ApplicationContextInitializer) is much faster on startup in Azure than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-readme.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-readme.html new file mode 100644 index 00000000..a7c3d632 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure-readme.html @@ -0,0 +1,322 @@ + + + + + + + +Microsoft Azure + + + + + + + + + + +
+
+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto Azure. +You can write an app with a single @Bean of type Function and it will be deployable in Azure if you get the JAR file laid out right.

+
+
+
+
+

Microsoft Azure

+
+

The Azure adapter bootstraps a Spring Cloud Function context and channels function calls from the Azure framework into the user functions, using Spring Boot configuration where necessary. Azure Functions has quite a unique, but invasive programming model, involving annotations in user code that are specific to the platform. The easiest way to use it with Spring Cloud is to extend a base class and write a method in it with the @FunctionName annotation which delegates to a base class method.

+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto Azure. +You can write an app with a single @Bean of type Function and it will be deployable in Azure if you get the JAR file laid out right.

+
+
+

There is an AzureSpringBootRequestHandler which you must extend, and provide the input and output types as annotated method parameters (enabling Azure to inspect the class and create JSON bindings). The base class has two useful methods (handleRequest and handleOutput) to which you can delegate the actual function call, so mostly the function will only ever have one line.

+
+
+

Example:

+
+
+
+
public class FooHandler extends AzureSpringBootRequestHandler<Foo, Bar> {
+	@FunctionName("uppercase")
+	public Bar execute(
+			@HttpTrigger(name = "req", methods = { HttpMethod.GET,
+					HttpMethod.POST }, authLevel = AuthorizationLevel.ANONYMOUS)
+                    Foo foo,
+			ExecutionContext context) {
+		return handleRequest(foo, context);
+	}
+}
+
+
+
+

This Azure handler will delegate to a Function<Foo,Bar> bean (or a Function<Publisher<Foo>,Publisher<Bar>>). Some Azure triggers (e.g. @CosmosDBTrigger) result in a input type of List and in that case you can bind to List in the Azure handler, or String (the raw JSON). The List input delegates to a Function with input type Map<String,Object>, or Publisher or List of the same type. The output of the Function can be a List (one-for-one) or a single value (aggregation), and the output binding in the Azure declaration should match.

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name. Or if you make the @FunctionName in the Azure handler method match the function name it should work that way (also for function apps with multiple functions). The functions are extracted from the Spring Cloud FunctionCatalog so the default function names are the same as the bean names.

+
+
+

Accessing Azure ExecutionContext

+
+

Some time there is a need to access the target execution context provided by Azure runtime in the form of com.microsoft.azure.functions.ExecutionContext. +For example one of such needs is logging, so it can appear in the Azure console.

+
+
+

For that purpose Spring Cloud Function will register ExecutionContext as bean in the Application context, so it could be injected into your function. +For example

+
+
+
+
@Bean
+public Function<Foo, Bar> uppercase(ExecutionContext targetContext) {
+	return foo -> {
+		targetContext.getLogger().info("Invoking 'uppercase' on " + foo.getValue());
+		return new Bar(foo.getValue().toUpperCase());
+	};
+}
+
+
+
+

Normally type-based injection should suffice, however if need to you can also utilise the bean name under which it is registered which is targetExecutionContext.

+
+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web at runtime in Azure, so you can exclude this +before you create the JAR you deploy to Azure, but it won’t be used if you include it, so +it doesn’t hurt to leave it in. A function application on Azure is an archive generated by + the Maven plugin. The function lives in the JAR file generated by this project. + The sample creates it as an executable jar, using the thin layout, so that Azure can find + the handler classes. If you prefer you can just use a regular flat JAR file. + The dependencies should not be included.

+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on Microsoft Azure, you can leverage the Maven +plugin offered by the cloud platform provider.

+
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-azure</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

Then, configure the plugin. You will need to provide Azure-specific configuration for your +application, specifying the resourceGroup, appName and other optional properties, and + add the package goal execution so that the function.json file required by Azure is + generated for you. Full plugin documentation can be found in the plugin repository.

+
+
+
+
<plugin>
+	<groupId>com.microsoft.azure</groupId>
+	<artifactId>azure-functions-maven-plugin</artifactId>
+	<configuration>
+		<resourceGroup>${functionResourceGroup}</resourceGroup>
+		<appName>${functionAppName}</appName>
+	</configuration>
+	<executions>
+		<execution>
+			<id>package-functions</id>
+			<goals>
+				<goal>package</goal>
+			</goals>
+		</execution>
+	</executions>
+</plugin>
+
+
+
+

You will also have to ensure that the files to be scanned by the plugin can be found in the +Azure functions staging directory (see the plugin repository + for more details on the staging directory and it’s default location).

+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to Microsoft Azure with Maven here.

+
+
+ + + + + +
+ + +As of yet, only Maven plugin is available. Gradle plugin has not been created by +the cloud platform provider. +
+
+
+
+

Build

+
+
+
./mvnw -U clean package
+
+
+
+
+

Running the sample

+
+

You can run the sample locally, just like the other Spring Cloud Function samples:

+
+
+
+
+

and curl -H "Content-Type: text/plain" localhost:8080/function -d '{"value": "hello foobar"}'.

+
+
+

You will need the az CLI app (see https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-java-maven for more detail). To deploy the function on Azure runtime:

+
+
+
+
$ az login
+$ mvn azure-functions:deploy
+
+
+
+

On another terminal try this: curl https://<azure-function-url-from-the-log>/api/uppercase -d '{"value": "hello foobar!"}'. Please ensure that you use the right URL for the function above. Alternatively you can test the function in the Azure Dashboard UI (click on the function name, go to the right hand side and click "Test" and to the bottom right, "Run").

+
+
+

The input type for the function in the Azure sample is a Foo with a single property called "value". So you need this to test it with something like below:

+
+
+
+
{
+  "value": "foobar"
+}
+
+
+
+ + + + + +
+ + +The Azure sample app is written in the "non-functional" style (using @Bean). The functional style (with just Function or ApplicationContextInitializer) is much faster on startup in Azure than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+
+

Sample Function

+
+
+

Go to the function-sample-azure to learn about how the sample works, and how to run and test it.

+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/azure.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure.html new file mode 100644 index 00000000..2d120bce --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/azure.html @@ -0,0 +1,315 @@ + + + + + + + +Microsoft Azure + + + + + + + + + + +
+
+
+
+

3.0.0.RELEASE

+
+
+

The Azure adapter bootstraps a Spring Cloud Function context and channels function calls from the Azure framework into the user functions, using Spring Boot configuration where necessary. Azure Functions has quite a unique, but invasive programming model, involving annotations in user code that are specific to the platform. The easiest way to use it with Spring Cloud is to extend a base class and write a method in it with the @FunctionName annotation which delegates to a base class method.

+
+
+
+
+

Microsoft Azure

+
+

The Azure adapter bootstraps a Spring Cloud Function context and channels function calls from the Azure framework into the user functions, using Spring Boot configuration where necessary. Azure Functions has quite a unique, but invasive programming model, involving annotations in user code that are specific to the platform. The easiest way to use it with Spring Cloud is to extend a base class and write a method in it with the @FunctionName annotation which delegates to a base class method.

+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto Azure. +You can write an app with a single @Bean of type Function and it will be deployable in Azure if you get the JAR file laid out right.

+
+
+

There is an AzureSpringBootRequestHandler which you must extend, and provide the input and output types as annotated method parameters (enabling Azure to inspect the class and create JSON bindings). The base class has two useful methods (handleRequest and handleOutput) to which you can delegate the actual function call, so mostly the function will only ever have one line.

+
+
+

Example:

+
+
+
+
public class FooHandler extends AzureSpringBootRequestHandler<Foo, Bar> {
+	@FunctionName("uppercase")
+	public Bar execute(
+			@HttpTrigger(name = "req", methods = { HttpMethod.GET,
+					HttpMethod.POST }, authLevel = AuthorizationLevel.ANONYMOUS)
+                    Foo foo,
+			ExecutionContext context) {
+		return handleRequest(foo, context);
+	}
+}
+
+
+
+

This Azure handler will delegate to a Function<Foo,Bar> bean (or a Function<Publisher<Foo>,Publisher<Bar>>). Some Azure triggers (e.g. @CosmosDBTrigger) result in a input type of List and in that case you can bind to List in the Azure handler, or String (the raw JSON). The List input delegates to a Function with input type Map<String,Object>, or Publisher or List of the same type. The output of the Function can be a List (one-for-one) or a single value (aggregation), and the output binding in the Azure declaration should match.

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name. Or if you make the @FunctionName in the Azure handler method match the function name it should work that way (also for function apps with multiple functions). The functions are extracted from the Spring Cloud FunctionCatalog so the default function names are the same as the bean names.

+
+
+

Accessing Azure ExecutionContext

+
+

Some time there is a need to access the target execution context provided by Azure runtime in the form of com.microsoft.azure.functions.ExecutionContext. +For example one of such needs is logging, so it can appear in the Azure console.

+
+
+

For that purpose Spring Cloud Function will register ExecutionContext as bean in the Application context, so it could be injected into your function. +For example

+
+
+
+
@Bean
+public Function<Foo, Bar> uppercase(ExecutionContext targetContext) {
+	return foo -> {
+		targetContext.getLogger().info("Invoking 'uppercase' on " + foo.getValue());
+		return new Bar(foo.getValue().toUpperCase());
+	};
+}
+
+
+
+

Normally type-based injection should suffice, however if need to you can also utilise the bean name under which it is registered which is targetExecutionContext.

+
+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web at runtime in Azure, so you can exclude this +before you create the JAR you deploy to Azure, but it won’t be used if you include it, so +it doesn’t hurt to leave it in. A function application on Azure is an archive generated by + the Maven plugin. The function lives in the JAR file generated by this project. + The sample creates it as an executable jar, using the thin layout, so that Azure can find + the handler classes. If you prefer you can just use a regular flat JAR file. + The dependencies should not be included.

+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on Microsoft Azure, you can leverage the Maven +plugin offered by the cloud platform provider.

+
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-azure</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

Then, configure the plugin. You will need to provide Azure-specific configuration for your +application, specifying the resourceGroup, appName and other optional properties, and + add the package goal execution so that the function.json file required by Azure is + generated for you. Full plugin documentation can be found in the plugin repository.

+
+
+
+
<plugin>
+	<groupId>com.microsoft.azure</groupId>
+	<artifactId>azure-functions-maven-plugin</artifactId>
+	<configuration>
+		<resourceGroup>${functionResourceGroup}</resourceGroup>
+		<appName>${functionAppName}</appName>
+	</configuration>
+	<executions>
+		<execution>
+			<id>package-functions</id>
+			<goals>
+				<goal>package</goal>
+			</goals>
+		</execution>
+	</executions>
+</plugin>
+
+
+
+

You will also have to ensure that the files to be scanned by the plugin can be found in the +Azure functions staging directory (see the plugin repository + for more details on the staging directory and it’s default location).

+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to Microsoft Azure with Maven here.

+
+
+ + + + + +
+ + +As of yet, only Maven plugin is available. Gradle plugin has not been created by +the cloud platform provider. +
+
+
+
+

Build

+
+
+
./mvnw -U clean package
+
+
+
+
+

Running the sample

+
+

You can run the sample locally, just like the other Spring Cloud Function samples:

+
+
+
+
+

and curl -H "Content-Type: text/plain" localhost:8080/function -d '{"value": "hello foobar"}'.

+
+
+

You will need the az CLI app (see https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-java-maven for more detail). To deploy the function on Azure runtime:

+
+
+
+
$ az login
+$ mvn azure-functions:deploy
+
+
+
+

On another terminal try this: curl https://<azure-function-url-from-the-log>/api/uppercase -d '{"value": "hello foobar!"}'. Please ensure that you use the right URL for the function above. Alternatively you can test the function in the Azure Dashboard UI (click on the function name, go to the right hand side and click "Test" and to the bottom right, "Run").

+
+
+

The input type for the function in the Azure sample is a Foo with a single property called "value". So you need this to test it with something like below:

+
+
+
+
{
+  "value": "foobar"
+}
+
+
+
+ + + + + +
+ + +The Azure sample app is written in the "non-functional" style (using @Bean). The functional style (with just Function or ApplicationContextInitializer) is much faster on startup in Azure than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+
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z+`5^Uj?YY`rJeK8kV)>MXvFcdZF%;pVIi2P!hyAf{xR*7l%8*#&8d?;Ev){t4t|bF zPrE|%7jw|6_S~)WC;e&g2M5mN^=-xFn>pv;barK~nf4>S1=}_$gxPm>9x>~k;y`b1apT5? zb$&R!`ownDmynOGXY!aYNSZ&4IWvEr`FV`jhK9b!&0p>i!uhLbv-Y%$2b>c>v|1sc Pn5$L + + + + + + +Comparing Functional with Traditional Bean Definitions + + + + + + + + + + +
+
+
+
+

Spring Cloud Function supports a "functional" style of bean declarations for small apps where you need fast startup. The functional style of bean declaration was a feature of Spring Framework 5.0 with significant enhancements in 5.1.

+
+
+
+
+

Comparing Functional with Traditional Bean Definitions

+
+
+

Here’s a vanilla Spring Cloud Function application from with the +familiar @Configuration and @Bean declaration style:

+
+
+
+
@SpringBootApplication
+public class DemoApplication {
+
+  @Bean
+  public Function<String, String> uppercase() {
+    return value -> value.toUpperCase();
+  }
+
+  public static void main(String[] args) {
+    SpringApplication.run(DemoApplication.class, args);
+  }
+
+}
+
+
+
+

You can run the above in a serverless platform, like AWS Lambda or Azure Functions, or you can run it in its own HTTP server just by including spring-cloud-function-starter-web on the classpath. Running the main method would expose an endpoint that you can use to ping that uppercase function:

+
+
+
+
$ curl localhost:8080 -d foo
+FOO
+
+
+
+

The web adapter in spring-cloud-function-starter-web uses Spring MVC, so you needed a Servlet container. You can also use Webflux where the default server is netty (even though you can still use Servlet containers if you want to) - just include the spring-cloud-starter-function-webflux dependency instead. The functionality is the same, and the user application code can be used in both.

+
+
+

Now for the functional beans: the user application code can be recast into "functional" +form, like this:

+
+
+
+
@SpringBootConfiguration
+public class DemoApplication implements ApplicationContextInitializer<GenericApplicationContext> {
+
+  public static void main(String[] args) {
+    FunctionalSpringApplication.run(DemoApplication.class, args);
+  }
+
+  public Function<String, String> uppercase() {
+    return value -> value.toUpperCase();
+  }
+
+  @Override
+  public void initialize(GenericApplicationContext context) {
+    context.registerBean("demo", FunctionRegistration.class,
+        () -> new FunctionRegistration<>(uppercase())
+            .type(FunctionType.from(String.class).to(String.class)));
+  }
+
+}
+
+
+
+

The main differences are:

+
+
+
    +
  • +

    The main class is an ApplicationContextInitializer.

    +
    • +
  • +

    The @Bean methods have been converted to calls to context.registerBean()

    +
    • +
  • +

    The @SpringBootApplication has been replaced with +@SpringBootConfiguration to signify that we are not enabling Spring +Boot autoconfiguration, and yet still marking the class as an "entry +point".

    +
    • +
  • +

    The SpringApplication from Spring Boot has been replaced with a +FunctionalSpringApplication from Spring Cloud Function (it’s a +subclass).

    +
    • +
+
+
+

The business logic beans that you register in a Spring Cloud Function app are of type FunctionRegistration. This is a wrapper that contains both the function and information about the input and output types. In the @Bean form of the application that information can be derived reflectively, but in a functional bean registration some of it is lost unless we use a FunctionRegistration.

+
+
+

An alternative to using an ApplicationContextInitializer and FunctionRegistration is to make the application itself implement Function (or Consumer or Supplier). Example (equivalent to the above):

+
+
+
+
@SpringBootConfiguration
+public class DemoApplication implements Function<String, String> {
+
+  public static void main(String[] args) {
+    FunctionalSpringApplication.run(DemoApplication.class, args);
+  }
+
+  @Override
+  public String uppercase(String value) {
+    return value.toUpperCase();
+  }
+
+}
+
+
+
+

It would also work if you add a separate, standalone class of type Function and register it with the SpringApplication using an alternative form of the run() method. The main thing is that the generic type information is available at runtime through the class declaration.

+
+
+

The app runs in its own HTTP server if you add spring-cloud-starter-function-webflux (it won’t work with the MVC starter at the moment because the functional form of the embedded Servlet container hasn’t been implemented). The app also runs just fine in AWS Lambda or Azure Functions, and the improvements in startup time are dramatic.

+
+
+ + + + + +
+ + +The "lite" web server has some limitations for the range of Function signatures - in particular it doesn’t (yet) support Message input and output, but POJOs and any kind of Publisher should be fine. +
+
+
+
+
+

Testing Functional Applications

+
+
+

Spring Cloud Function also has some utilities for integration testing that will be very familiar to Spring Boot users. For example, here is an integration test for the HTTP server wrapping the app above:

+
+
+
+
@RunWith(SpringRunner.class)
+@FunctionalSpringBootTest
+@AutoConfigureWebTestClient
+public class FunctionalTests {
+
+	@Autowired
+	private WebTestClient client;
+
+	@Test
+	public void words() throws Exception {
+		client.post().uri("/").body(Mono.just("foo"), String.class).exchange()
+				.expectStatus().isOk().expectBody(String.class).isEqualTo("FOO");
+	}
+
+}
+
+
+
+

This test is almost identical to the one you would write for the @Bean version of the same app - the only difference is the @FunctionalSpringBootTest annotation, instead of the regular @SpringBootTest. All the other pieces, like the @Autowired WebTestClient, are standard Spring Boot features.

+
+
+

Or you could write a test for a non-HTTP app using just the FunctionCatalog. For example:

+
+
+
+
@RunWith(SpringRunner.class)
+@FunctionalSpringBootTest
+public class FunctionalTests {
+
+	@Autowired
+	private FunctionCatalog catalog;
+
+	@Test
+	public void words() throws Exception {
+		Function<Flux<String>, Flux<String>> function = catalog.lookup(Function.class,
+				"function");
+		assertThat(function.apply(Flux.just("foo")).blockFirst()).isEqualTo("FOO");
+	}
+
+}
+
+
+
+

(The FunctionCatalog always returns functions from Flux to Flux, even if the user declares them with a simpler signature.)

+
+
+
+
+

Limitations of Functional Bean Declaration

+
+
+

Most Spring Cloud Function apps have a relatively small scope compared to the whole of Spring Boot, so we are able to adapt it to these functional bean definitions easily. If you step outside that limited scope, you can extend your Spring Cloud Function app by switching back to @Bean style configuration, or by using a hybrid approach. If you want to take advantage of Spring Boot autoconfiguration for integrations with external datastores, for example, you will need to use @EnableAutoConfiguration. Your functions can still be defined using the functional declarations if you want (i.e. the "hybrid" style), but in that case you will need to explicitly switch off the "full functional mode" using spring.functional.enabled=false so that Spring Boot can take back control.

+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/getting-started.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/getting-started.html new file mode 100644 index 00000000..d720d742 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/getting-started.html @@ -0,0 +1,152 @@ + + + + + + + +Untitled + + + + + + + + + + +
+
+
+
+

Build from the command line (and "install" the samples):

+
+
+
+
$ ./mvnw clean install
+
+
+
+

(If you like to YOLO add -DskipTests.)

+
+
+

Run one of the samples, e.g.

+
+
+
+
$ java -jar spring-cloud-function-samples/function-sample/target/*.jar
+
+
+
+

This runs the app and exposes its functions over HTTP, so you can +convert a string to uppercase, like this:

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d Hello
+HELLO
+
+
+
+

You can convert multiple strings (a Flux<String>) by separating them +with new lines

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d 'Hello
+> World'
+HELLOWORLD
+
+
+
+

(You can use QJ in a terminal to insert a new line in a literal +string like that.)

+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/images/remove.txt b/spring-cloud-function/3.0.0.RELEASE/reference/html/images/remove.txt new file mode 100644 index 00000000..bbd40769 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/images/remove.txt @@ -0,0 +1 @@ +please remove once this directory is not empty \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/index.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/index.html new file mode 100644 index 00000000..5a765332 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/index.html @@ -0,0 +1,178 @@ + + + + + + + + +Spring Cloud Function Reference Documentation + + + + + + + + + + +
+
+
+
+

3.0.0.RELEASE

+
+
+

The reference documentation consists of the following sections:

+
+
+ + + + + + + + + + + + + + + + + +
+Reference Guide + +

Spring Cloud Function Reference

+
+AWS Adapter + +

AWS Adapter Reference

+
+Azure Adapter + +

Azure Adapter Reference

+
+Apache OpenWhisk Adapter + +

Apache OpenWhisk Adapter Reference

+
+
+
+

Relevant Links:

+
+
+ + + + + + + + + +
+Reactor + +

Project Reactor

+
+riff + +

Project riff

+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/highlight.min.js b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/highlight.min.js new file mode 100644 index 00000000..dcbbb4c7 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/highlight.min.js @@ -0,0 +1,2 @@ +/*! highlight.js v9.13.1 | BSD3 License | git.io/hljslicense */ +!function(e){var n="object"==typeof window&&window||"object"==typeof self&&self;"undefined"!=typeof exports?e(exports):n&&(n.hljs=e({}),"function"==typeof define&&define.amd&&define([],function(){return n.hljs}))}(function(e){function n(e){return e.replace(/&/g,"&").replace(//g,">")}function t(e){return e.nodeName.toLowerCase()}function r(e,n){var t=e&&e.exec(n);return t&&0===t.index}function a(e){return k.test(e)}function i(e){var n,t,r,i,o=e.className+" ";if(o+=e.parentNode?e.parentNode.className:"",t=M.exec(o))return 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+} diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/monokai.min.css b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/monokai.min.css new file mode 100644 index 00000000..775d53f9 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/monokai.min.css @@ -0,0 +1,70 @@ +/* +Monokai style - ported by Luigi Maselli - http://grigio.org +*/ + +.hljs { + display: block; + overflow-x: auto; + padding: 0.5em; + background: #272822; color: #ddd; +} + +.hljs-tag, +.hljs-keyword, +.hljs-selector-tag, +.hljs-literal, +.hljs-strong, +.hljs-name { + color: #f92672; +} + +.hljs-code { + color: #66d9ef; +} + +.hljs-class .hljs-title { + color: white; +} + +.hljs-attribute, +.hljs-symbol, +.hljs-regexp, +.hljs-link { + color: #bf79db; +} + +.hljs-string, +.hljs-bullet, +.hljs-subst, +.hljs-title, +.hljs-section, +.hljs-emphasis, +.hljs-type, +.hljs-built_in, +.hljs-builtin-name, +.hljs-selector-attr, +.hljs-selector-pseudo, +.hljs-addition, +.hljs-variable, +.hljs-template-tag, +.hljs-template-variable { + color: #a6e22e; +} + +.hljs-comment, +.hljs-quote, +.hljs-deletion, +.hljs-meta { + color: #75715e; +} + +.hljs-keyword, +.hljs-selector-tag, +.hljs-literal, +.hljs-doctag, +.hljs-title, +.hljs-section, +.hljs-type, +.hljs-selector-id { + font-weight: bold; +} diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/solarized-light.min.css b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/solarized-light.min.css new file mode 100644 index 00000000..fdcfcc72 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/solarized-light.min.css @@ -0,0 +1,84 @@ +/* + +Orginal Style from ethanschoonover.com/solarized (c) Jeremy Hull + +*/ + +.hljs { + display: block; + overflow-x: auto; + padding: 0.5em; + background: #fdf6e3; + color: #657b83; +} + +.hljs-comment, +.hljs-quote { + color: #93a1a1; +} + +/* Solarized Green */ +.hljs-keyword, +.hljs-selector-tag, +.hljs-addition { + color: #859900; +} + +/* Solarized Cyan */ +.hljs-number, +.hljs-string, +.hljs-meta .hljs-meta-string, +.hljs-literal, +.hljs-doctag, +.hljs-regexp { + color: #2aa198; +} + +/* Solarized Blue */ +.hljs-title, +.hljs-section, +.hljs-name, +.hljs-selector-id, +.hljs-selector-class { + color: #268bd2; +} + +/* Solarized Yellow */ +.hljs-attribute, +.hljs-attr, +.hljs-variable, +.hljs-template-variable, +.hljs-class .hljs-title, +.hljs-type { + color: #b58900; +} + +/* Solarized Orange */ +.hljs-symbol, +.hljs-bullet, +.hljs-subst, +.hljs-meta, +.hljs-meta .hljs-keyword, +.hljs-selector-attr, +.hljs-selector-pseudo, +.hljs-link { + color: #cb4b16; +} + +/* Solarized Red */ +.hljs-built_in, +.hljs-deletion { + color: #dc322f; +} + +.hljs-formula { + background: #eee8d5; +} + +.hljs-emphasis { + font-style: italic; +} + +.hljs-strong { + font-weight: bold; +} diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/zenburn.min.css b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/zenburn.min.css new file mode 100644 index 00000000..07be5020 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/highlight/styles/zenburn.min.css @@ -0,0 +1,80 @@ +/* + +Zenburn style from voldmar.ru (c) Vladimir Epifanov +based on dark.css by Ivan Sagalaev + +*/ + +.hljs { + display: block; + overflow-x: auto; + padding: 0.5em; + background: #3f3f3f; + color: #dcdcdc; +} + +.hljs-keyword, +.hljs-selector-tag, +.hljs-tag { + color: #e3ceab; +} + +.hljs-template-tag { + color: #dcdcdc; +} + +.hljs-number { + color: #8cd0d3; +} + +.hljs-variable, +.hljs-template-variable, +.hljs-attribute { + color: #efdcbc; +} + +.hljs-literal { + color: #efefaf; +} + +.hljs-subst { + color: #8f8f8f; +} + +.hljs-title, +.hljs-name, +.hljs-selector-id, +.hljs-selector-class, +.hljs-section, +.hljs-type { + color: #efef8f; +} + +.hljs-symbol, +.hljs-bullet, +.hljs-link { + color: #dca3a3; +} + +.hljs-deletion, +.hljs-string, +.hljs-built_in, +.hljs-builtin-name { + color: #cc9393; +} + +.hljs-addition, +.hljs-comment, +.hljs-quote, +.hljs-meta { + color: #7f9f7f; +} + + +.hljs-emphasis { + font-style: italic; +} + +.hljs-strong { + font-weight: bold; +} diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/js/toc.js b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/toc.js new file mode 100644 index 00000000..a6e933bf --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/js/toc.js @@ -0,0 +1,107 @@ +var toctitle = document.getElementById('toctitle'); +var path = window.location.pathname; +if (toctitle != null) { + var oldtoc = toctitle.nextElementSibling; + var newtoc = document.createElement('div'); + newtoc.setAttribute('id', 'tocbot'); + newtoc.setAttribute('class', 'js-toc desktop-toc'); + oldtoc.setAttribute('class', 'mobile-toc'); + oldtoc.parentNode.appendChild(newtoc); + tocbot.init({ + contentSelector: '#content', + headingSelector: 'h1, h2, h3, h4, h5', + positionFixedSelector: 'body', + fixedSidebarOffset: 90, + smoothScroll: false + }); + if (!path.endsWith("index.html") && !path.endsWith("/")) { + var link = document.createElement("a"); + link.setAttribute("href", "index.html"); + link.innerHTML = " Back to index"; + var block = document.createElement("div"); + block.setAttribute('class', 'back-action'); + block.appendChild(link); + var toc = document.getElementById('toc'); + var next = document.getElementById('toctitle').nextElementSibling; + toc.insertBefore(block, next); + } +} + +var headerHtml = '
\n' + + '

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n(e){s=e-i,window.scrollTo(0,c.easing(s,r,u,d)),s + + + + + + +Untitled + + + + + + + + + + +
+
+
+
+

Implement a POF (be sure to use the functions package):

+
+
+
+
package functions;
+
+import java.util.function.Function;
+
+public class Uppercase implements Function<String, String> {
+
+	public String apply(String input) {
+		return input.toUpperCase();
+	}
+}
+
+
+
+

Install it into your local Maven repository:

+
+
+
+
./mvnw clean install
+
+
+
+

Create a function.properties file that provides its Maven coordinates. For example:

+
+
+
+
dependencies.function: com.example:pof:0.0.1-SNAPSHOT
+
+
+
+

Copy the openwhisk runner JAR to the working directory (same directory as the properties file):

+
+
+
+
cp spring-cloud-function-adapters/spring-cloud-function-adapter-openwhisk/target/spring-cloud-function-adapter-openwhisk-2.0.0.BUILD-SNAPSHOT.jar runner.jar
+
+
+
+

Generate a m2 repo from the --thin.dryrun of the runner JAR with the above properties file:

+
+
+
+
java -jar -Dthin.root=m2 runner.jar --thin.name=function --thin.dryrun
+
+
+
+

Use the following Dockerfile:

+
+
+
+
FROM openjdk:8-jdk-alpine
+VOLUME /tmp
+COPY m2 /m2
+ADD runner.jar .
+ADD function.properties .
+ENV JAVA_OPTS=""
+ENTRYPOINT [ "java", "-Djava.security.egd=file:/dev/./urandom", "-jar", "runner.jar", "--thin.root=/m2", "--thin.name=function", "--function.name=uppercase"]
+EXPOSE 8080
+
+
+
+
+
+ + + + + +
+ + +you could use a Spring Cloud Function app, instead of just a jar with a POF in it, in which case you would have to change the way the app runs in the container so that it picks up the main class as a source file. For example, you could change the ENTRYPOINT above and add --spring.main.sources=com.example.SampleApplication. +
+
+
+
+
+

Build the Docker image:

+
+
+
+
docker build -t [username/appname] .
+
+
+
+

Push the Docker image:

+
+
+
+
docker push [username/appname]
+
+
+
+

Use the OpenWhisk CLI (e.g. after vagrant ssh) to create the action:

+
+
+
+
wsk action create example --docker [username/appname]
+
+
+
+

Invoke the action:

+
+
+
+
wsk action invoke example --result --param payload foo
+{
+    "result": "FOO"
+}
+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk-readme.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk-readme.html new file mode 100644 index 00000000..79b746eb --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk-readme.html @@ -0,0 +1,252 @@ + + + + + + + +Quick Start + + + + + + + + + + +
+
+

Quick Start

+
+
+

Implement a POF (be sure to use the functions package):

+
+
+
+
package functions;
+
+import java.util.function.Function;
+
+public class Uppercase implements Function<String, String> {
+
+	public String apply(String input) {
+		return input.toUpperCase();
+	}
+}
+
+
+
+

Install it into your local Maven repository:

+
+
+
+
./mvnw clean install
+
+
+
+

Create a function.properties file that provides its Maven coordinates. For example:

+
+
+
+
dependencies.function: com.example:pof:0.0.1-SNAPSHOT
+
+
+
+

Copy the openwhisk runner JAR to the working directory (same directory as the properties file):

+
+
+
+
cp spring-cloud-function-adapters/spring-cloud-function-adapter-openwhisk/target/spring-cloud-function-adapter-openwhisk-2.0.0.BUILD-SNAPSHOT.jar runner.jar
+
+
+
+

Generate a m2 repo from the --thin.dryrun of the runner JAR with the above properties file:

+
+
+
+
java -jar -Dthin.root=m2 runner.jar --thin.name=function --thin.dryrun
+
+
+
+

Use the following Dockerfile:

+
+
+
+
FROM openjdk:8-jdk-alpine
+VOLUME /tmp
+COPY m2 /m2
+ADD runner.jar .
+ADD function.properties .
+ENV JAVA_OPTS=""
+ENTRYPOINT [ "java", "-Djava.security.egd=file:/dev/./urandom", "-jar", "runner.jar", "--thin.root=/m2", "--thin.name=function", "--function.name=uppercase"]
+EXPOSE 8080
+
+
+
+
+
+ + + + + +
+ + +you could use a Spring Cloud Function app, instead of just a jar with a POF in it, in which case you would have to change the way the app runs in the container so that it picks up the main class as a source file. For example, you could change the ENTRYPOINT above and add --spring.main.sources=com.example.SampleApplication. +
+
+
+
+
+

Build the Docker image:

+
+
+
+
docker build -t [username/appname] .
+
+
+
+

Push the Docker image:

+
+
+
+
docker push [username/appname]
+
+
+
+

Use the OpenWhisk CLI (e.g. after vagrant ssh) to create the action:

+
+
+
+
wsk action create example --docker [username/appname]
+
+
+
+

Invoke the action:

+
+
+
+
wsk action invoke example --result --param payload foo
+{
+    "result": "FOO"
+}
+
+
+
+
+
+

Examples

+
+
+

The following examples are built based on the details and explanations above, on how to deploy Spring Cloud Functions on to OpenWhisk

+
+
+ +
+
+

The base docker images used for above examples is available here.

+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk.html new file mode 100644 index 00000000..9a645ba8 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/openwhisk.html @@ -0,0 +1,240 @@ + + + + + + + +Quick Start + + + + + + + + + + +
+
+
+
+

3.0.0.RELEASE

+
+
+

The OpenWhisk adapter is in the form of an executable jar that can be used in a a docker image to be deployed to Openwhisk. The platform works in request-response mode, listening on port 8080 on a specific endpoint, so the adapter is a simple Spring MVC application.

+
+
+
+
+

Quick Start

+
+
+

Implement a POF (be sure to use the functions package):

+
+
+
+
package functions;
+
+import java.util.function.Function;
+
+public class Uppercase implements Function<String, String> {
+
+	public String apply(String input) {
+		return input.toUpperCase();
+	}
+}
+
+
+
+

Install it into your local Maven repository:

+
+
+
+
./mvnw clean install
+
+
+
+

Create a function.properties file that provides its Maven coordinates. For example:

+
+
+
+
dependencies.function: com.example:pof:0.0.1-SNAPSHOT
+
+
+
+

Copy the openwhisk runner JAR to the working directory (same directory as the properties file):

+
+
+
+
cp spring-cloud-function-adapters/spring-cloud-function-adapter-openwhisk/target/spring-cloud-function-adapter-openwhisk-2.0.0.BUILD-SNAPSHOT.jar runner.jar
+
+
+
+

Generate a m2 repo from the --thin.dryrun of the runner JAR with the above properties file:

+
+
+
+
java -jar -Dthin.root=m2 runner.jar --thin.name=function --thin.dryrun
+
+
+
+

Use the following Dockerfile:

+
+
+
+
FROM openjdk:8-jdk-alpine
+VOLUME /tmp
+COPY m2 /m2
+ADD runner.jar .
+ADD function.properties .
+ENV JAVA_OPTS=""
+ENTRYPOINT [ "java", "-Djava.security.egd=file:/dev/./urandom", "-jar", "runner.jar", "--thin.root=/m2", "--thin.name=function", "--function.name=uppercase"]
+EXPOSE 8080
+
+
+
+
+
+ + + + + +
+ + +you could use a Spring Cloud Function app, instead of just a jar with a POF in it, in which case you would have to change the way the app runs in the container so that it picks up the main class as a source file. For example, you could change the ENTRYPOINT above and add --spring.main.sources=com.example.SampleApplication. +
+
+
+
+
+

Build the Docker image:

+
+
+
+
docker build -t [username/appname] .
+
+
+
+

Push the Docker image:

+
+
+
+
docker push [username/appname]
+
+
+
+

Use the OpenWhisk CLI (e.g. after vagrant ssh) to create the action:

+
+
+
+
wsk action create example --docker [username/appname]
+
+
+
+

Invoke the action:

+
+
+
+
wsk action invoke example --result --param payload foo
+{
+    "result": "FOO"
+}
+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/sagan-index.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/sagan-index.html new file mode 100644 index 00000000..966609aa --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/sagan-index.html @@ -0,0 +1,219 @@ + + + + + + + +Features + + + + + + + + + + +
+
+
+
+

Spring Cloud Function is a project with the following high-level goals:

+
+
+
    +
  • +

    Promote the implementation of business logic via functions.

    +
    • +
  • +

    Decouple the development lifecycle of business logic from any specific runtime target so that the same code can run as a web endpoint, a stream processor, or a task.

    +
    • +
  • +

    Support a uniform programming model across serverless providers, as well as the ability to run standalone (locally or in a PaaS).

    +
    • +
  • +

    Enable Spring Boot features (auto-configuration, dependency injection, metrics) on serverless providers.

    +
    • +
+
+
+

It abstracts away all of the transport details and infrastructure, allowing the developer to keep all the familiar tools and processes, and focus firmly on business logic.

+
+
+
+
+

Features

+
+
+

Spring Cloud Function features:

+
+
+
    +
  • +

    Choice of programming styles - reactive, imperative or hybrid.

    +
    • +
  • +

    Function composition and adaptation (e.g., composing imperative functions with reactive).

    +
    • +
  • +

    Support for reactive function with multiple inputs and outputs allowing merging, joining and other complex streaming operation to be handled by functions.

    +
    • +
  • +

    Transparent type conversion of inputs and outputs.

    +
    • +
  • +

    Packaging functions for deployments, specific to the target platform (e.g., Project Riff, AWS Lambda and more)

    +
    • +
  • +

    Adapters to expose function to the outside world as HTTP endpoints etc.

    +
    • +
  • +

    Deploying a JAR file containing such an application context with an isolated classloader, so that you can pack them together in a single JVM.

    +
    • +
  • +

    Compiling strings which are Java function bodies into bytecode, and then turning them into @Beans that can be wrapped as above.

    +
    • +
  • +

    Adapters for AWS Lambda, Microsoft Azure, Apache OpenWhisk and possibly other "serverless" service providers.

    +
    • +
+
+
+

Here’s a complete, executable, testable Spring Boot application (implementing a simple string manipulation):

+
+
+
+
@SpringBootApplication
+public class Application {
+  public static void main(String[] args) {
+    SpringApplication.run(Application.class, args);
+  }
+
+  @Bean
+  public Function<Flux<String>, Flux<String>> uppercase() {
+    return flux -> flux.map(value -> value.toUpperCase());
+  }
+}
+
+
+
+

Sample Projects

+
+ +
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/html/spring-cloud-function.html b/spring-cloud-function/3.0.0.RELEASE/reference/html/spring-cloud-function.html new file mode 100644 index 00000000..fffc51cc --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/html/spring-cloud-function.html @@ -0,0 +1,1572 @@ + + + + + + + +Spring Cloud Function + + + + + + + + + + +
+
+
+
+

Mark Fisher, Dave Syer, Oleg Zhurakousky, Anshul Mehra

+
+
+

3.0.0.RELEASE

+
+
+
+
+
+

Introduction

+
+
+

Spring Cloud Function is a project with the following high-level goals:

+
+
+
    +
  • +

    Promote the implementation of business logic via functions.

    +
    • +
  • +

    Decouple the development lifecycle of business logic from any specific runtime target so that the same code can run as a web endpoint, a stream processor, or a task.

    +
    • +
  • +

    Support a uniform programming model across serverless providers, as well as the ability to run standalone (locally or in a PaaS).

    +
    • +
  • +

    Enable Spring Boot features (auto-configuration, dependency injection, metrics) on serverless providers.

    +
    • +
+
+
+

It abstracts away all of the transport details and +infrastructure, allowing the developer to keep all the familiar tools +and processes, and focus firmly on business logic.

+
+
+

Here’s a complete, executable, testable Spring Boot application +(implementing a simple string manipulation):

+
+
+
+
@SpringBootApplication
+public class Application {
+
+  @Bean
+  public Function<Flux<String>, Flux<String>> uppercase() {
+    return flux -> flux.map(value -> value.toUpperCase());
+  }
+
+  public static void main(String[] args) {
+    SpringApplication.run(Application.class, args);
+  }
+}
+
+
+
+

It’s just a Spring Boot application, so it can be built, run and +tested, locally and in a CI build, the same way as any other Spring +Boot application. The Function is from java.util and Flux is a +Reactive Streams Publisher from +Project Reactor. The function can be +accessed over HTTP or messaging.

+
+
+

Spring Cloud Function has 4 main features:

+
+
+

In the nutshell Spring Cloud Function provides the following features: +1. Wrappers for @Beans of type Function, Consumer and +Supplier, exposing them to the outside world as either HTTP +endpoints and/or message stream listeners/publishers with RabbitMQ, Kafka etc.

+
+
+
    +
  • +

    Choice of programming styles - reactive, imperative or hybrid.

    +
    • +
  • +

    Function composition and adaptation (e.g., composing imperative functions with reactive).

    +
    • +
  • +

    Support for reactive function with multiple inputs and outputs allowing merging, joining and other complex streaming operation to be handled by functions.

    +
    • +
  • +

    Transparent type conversion of inputs and outputs.

    +
    • +
  • +

    Packaging functions for deployments, specific to the target platform (e.g., Project Riff, AWS Lambda and more)

    +
    • +
  • +

    Adapters to expose function to the outside world as HTTP endpoints etc.

    +
    • +
  • +

    Deploying a JAR file containing such an application context with an isolated classloader, so that you can pack them together in a single JVM.

    +
    • +
  • +

    Compiling strings which are Java function bodies into bytecode, and then turning them into @Beans that can be wrapped as above.

    +
    • +
  • +

    Adapters for AWS Lambda, Azure, Apache OpenWhisk and possibly other "serverless" service providers.

    +
    • +
+
+
+ + + + + +
+ + +Spring Cloud is released under the non-restrictive Apache 2.0 license. If you would like to contribute to this section of the documentation or if you find an error, please find the source code and issue trackers in the project at github. +
+
+
+
+
+

Getting Started

+
+
+

Build from the command line (and "install" the samples):

+
+
+
+
$ ./mvnw clean install
+
+
+
+

(If you like to YOLO add -DskipTests.)

+
+
+

Run one of the samples, e.g.

+
+
+
+
$ java -jar spring-cloud-function-samples/function-sample/target/*.jar
+
+
+
+

This runs the app and exposes its functions over HTTP, so you can +convert a string to uppercase, like this:

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d Hello
+HELLO
+
+
+
+

You can convert multiple strings (a Flux<String>) by separating them +with new lines

+
+
+
+
$ curl -H "Content-Type: text/plain" localhost:8080/uppercase -d 'Hello
+> World'
+HELLOWORLD
+
+
+
+

(You can use QJ in a terminal to insert a new line in a literal +string like that.)

+
+
+
+
+

Programming model

+
+
+

Function Catalog and Flexible Function Signatures

+
+

One of the main features of Spring Cloud Function is to adapt and support a range of type signatures for user-defined functions, +while providing a consistent execution model. +That’s why all user defined functions are transformed into a canonical representation by FunctionCatalog.

+
+
+

While users don’t normally have to care about the FunctionCatalog at all, it is useful to know what +kind of functions are supported in user code.

+
+
+

It is also important to understand that Spring Cloud Function provides first class support for reactive API +provided by Project Reactor allowing reactive primitives such as Mono and Flux +to be used as types in user defined functions providing greater flexibility when choosing programming model for +your function implementation. +Reactive programming model also enables functional support for features that would be otherwise difficult to impossible to implement +using imperative programming style. For more on this please read Function Arity section.

+
+
+
+

Java 8 function support

+
+

Spring Cloud Function embraces and builds on top of the 3 core functional interfaces defined by Java +and available to us since Java 8.

+
+
+
    +
  • +

    Supplier<O>

    +
    • +
  • +

    Function<I, O>

    +
    • +
  • +

    Consumer<I>

    +
    • +
+
+
+

Supplier

+
+

Supplier can be reactive - Supplier<Flux<T>> +or imperative - Supplier<T>. From the invocation standpoint this should make no difference +to the implementor of such Supplier. However, when used within frameworks +(e.g., Spring Cloud Stream), Suppliers, especially reactive, +often used to represent the source of the stream, therefore they are invoked once to get the stream (e.g., Flux) +to which consumers can subscribe to. In other words such suppliers represent an equivalent of an infinite stream. +However, the same reactive suppliers can also represent finite stream(s) (e.g., result set on the polled JDBC data). +In those cases such reactive suppliers must be hooked up to some polling mechanism of the underlying framework.

+
+
+

To assist with that Spring Cloud Function provides a marker annotation +org.springframework.cloud.function.context.PollableSupplier to signal that such supplier produces a +finite stream and may need to be polled again. That said, it is important to understand that Spring Cloud Function itself +provides no behavior for this annotation.

+
+
+

In addition PollableSupplier annotation exposes a splittable attribute to signal that produced stream +needs to be split (see Splitter EIP)

+
+
+

Here is the example:

+
+
+
+
@PollableSupplier(splittable = true)
+public Supplier<Flux<String>> someSupplier() {
+	return () -> {
+		String v1 = String.valueOf(System.nanoTime());
+		String v2 = String.valueOf(System.nanoTime());
+		String v3 = String.valueOf(System.nanoTime());
+		return Flux.just(v1, v2, v3);
+	};
+}
+
+
+
+
+

Function

+
+

Function can also be written in imperative or reactive way, yet unlike Supplier and Consumer there are +no special considerations for the implementor other then understanding that when used within frameworks +such as Spring Cloud Stream and others, reactive function is +invoked only once to pass a reference to the stream (Flux or Mono) and imperative is invoked once per event.

+
+
+
+

Consumer

+
+

Consumer is a little bit special because it has a void return type, +which implies blocking, at least potentially. Most likely you will not +need to write Consumer<Flux<?>>, but if you do need to do that, +remember to subscribe to the input flux. If you declare a Consumer +of a non publisher type (which is normal), it will be converted to a +function that returns a publisher, so that it can be subscribed to in +a controlled way.

+
+
+
+
+

Function Composition

+
+

Function Composition is a feature that allows one to compose several functions into one. +The core support is based on function composition feature available with Function.andThen(..) +support available since Java 8. However on top of it, we provide few additional features.

+
+
+

Declarative Function Composition

+
+

This feature allows you to provide composition instruction in a declarative way using | (pipe) or , (comma) delimiter +when providing spring.cloud.function.definition property.

+
+
+

For example

+
+
+
+
--spring.cloud.function.definition=uppercase|reverse
+
+
+
+

Here we effectively provided a definition of a single function which itself is a composition of +function uppercase and function reverse. In fact that is one of the reasons why the property name is definition and not name, +since the definition of a function can be a composition of several named functions. +And as mentioned you can use , instead of pipe (such as …​definition=uppercase,reverse).

+
+
+
+

Composing non-Functions

+
+

Spring Cloud Function also supports composing Supplier with Consumer or Function as well as Function with Consumer. +What’s important here is to understand the end product of such definitions. +Composing Supplier with Function still results in Supplier while composing Supplier with Consumer will effectively render Runnable. +Following the same logic composing Function with Consumer will result in Consumer.

+
+
+

And of course you can’t compose uncomposable such as Consumer and Function, Consumer and Supplier etc.

+
+
+
+
+

Function Routing

+
+

Since version 2.2 Spring Cloud Function provides routing feature allowing +you to invoke a single function which acts as a router to an actual function you wish to invoke +This feature is very useful in certain FAAS environments where maintaining configurations +for several functions could be cumbersome or exposing more then one function is not possible.

+
+
+

The RoutingFunction is registered in FunctionCatalog under the name functionRouter. For simplicity +and consistency you can also refer to RoutingFunction.FUNCTION_NAME constant.

+
+
+

This function has the following signature:

+
+
+
+
public class RoutingFunction implements Function<Object, Object> {
+. . .
+}
+
+
+
+

The routing instructions could be communicated in several ways;

+
+
+

Message Headers

+
+
+

If the input argument is of type Message<?>, you can communicate routing instruction by setting one of +spring.cloud.function.definition or spring.cloud.function.routing-expression Message headers. +For more static cases you can use spring.cloud.function.definition header which allows you to provide +the name of a single function (e.g., …​definition=foo) or a composition instruction (e.g., …​definition=foo|bar|baz). +For more dynamic cases you can use spring.cloud.function.routing-expression header which allows +you to use Spring Expression Language (SpEL) and provide SpEL expression that should resolve +into definition of a function (as described above).

+
+
+ + + + + +
+ + +SpEL evaluation context’s root object is the +actual input argument, so in he case of Message<?> you can construct expression that has access +to both payload and headers (e.g., spring.cloud.function.routing-expression=headers.function_name). +
+
+
+

In specific execution environments/models the adapters are responsible to translate and communicate +spring.cloud.function.definition and/or spring.cloud.function.routing-expression via Message header. +For example, when using spring-cloud-function-web you can provide spring.cloud.function.definition as an HTTP +header and the framework will propagate it as well as other HTTP headers as Message headers.

+
+
+

Application Properties

+
+
+

Routing instruction can also be communicated via spring.cloud.function.definition +or spring.cloud.function.routing-expression as application properties. The rules described in the +previous section apply here as well. The only difference is you provide these instructions as +application properties (e.g., --spring.cloud.function.definition=foo).

+
+
+ + + + + +
+ + +When dealing with reactive inputs (e.g., Publisher), routing instructions must only be provided via Function properties. This is +due to the nature of the reactive functions which are invoked only once to pass a Publisher and the rest +is handled by the reactor, hence we can not access and/or rely on the routing instructions communicated via individual +values (e.g., Message). +
+
+
+
+

Function Arity

+
+

There are times when a stream of data needs to be categorized and organized. For example, +consider a classic big-data use case of dealing with unorganized data containing, let’s say, +‘orders’ and ‘invoices’, and you want each to go into a separate data store. +This is where function arity (functions with multiple inputs and outputs) support +comes to play.

+
+
+

Let’s look at an example of such a function (full implementation details are available +here),

+
+
+
+
@Bean
+public Function<Flux<Integer>, Tuple2<Flux<String>, Flux<String>>> organise() {
+	return flux -> ...;
+}
+
+
+
+

Given that Project Reactor is a core dependency of SCF, we are using its Tuple library. +Tuples give us a unique advantage by communicating to us both cardinality and type information. +Both are extremely important in the context of SCSt. Cardinality lets us know +how many input and output bindings need to be created and bound to the corresponding +inputs and outputs of a function. Awareness of the type information ensures proper type +conversion.

+
+
+

Also, this is where the ‘index’ part of the naming convention for binding +names comes into play, since, in this function, the two output binding +names are organise-out-0 and organise-out-1.

+
+
+ + + + + +
+ + +IMPORTANT: At the moment, function arity is only supported for reactive functions +(Function<TupleN<Flux<?>…​>, TupleN<Flux<?>…​>>) centered on Complex event processing +where evaluation and computation on confluence of events typically requires view into a +stream of events rather than single event. +
+
+
+
+

Kotlin Lambda support

+
+

We also provide support for Kotlin lambdas (since v2.0). +Consider the following:

+
+
+
+
@Bean
+open fun kotlinSupplier(): () -> String {
+    return  { "Hello from Kotlin" }
+}
+
+@Bean
+open fun kotlinFunction(): (String) -> String {
+    return  { it.toUpperCase() }
+}
+
+@Bean
+open fun kotlinConsumer(): (String) -> Unit {
+    return  { println(it) }
+}
+
+
+
+

The above represents Kotlin lambdas configured as Spring beans. The signature of each maps to a Java equivalent of +Supplier, Function and Consumer, and thus supported/recognized signatures by the framework. +While mechanics of Kotlin-to-Java mapping are outside of the scope of this documentation, it is important to understand that the +same rules for signature transformation outlined in "Java 8 function support" section are applied here as well.

+
+
+

To enable Kotlin support all you need is to add spring-cloud-function-kotlin module to your classpath which contains the appropriate +autoconfiguration and supporting classes.

+
+
+
+

Function Component Scan

+
+

Spring Cloud Function will scan for implementations of Function, +Consumer and Supplier in a package called functions if it +exists. Using this feature you can write functions that have no +dependencies on Spring - not even the @Component annotation is +needed. If you want to use a different package, you can set +spring.cloud.function.scan.packages. You can also use +spring.cloud.function.scan.enabled=false to switch off the scan +completely.

+
+
+
+
+
+

Standalone Web Applications

+
+
+

The spring-cloud-function-web module has autoconfiguration that +activates when it is included in a Spring Boot web application (with +MVC support). There is also a spring-cloud-starter-function-web to +collect all the optional dependencies in case you just want a simple +getting started experience.

+
+
+

With the web configurations activated your app will have an MVC +endpoint (on "/" by default, but configurable with +spring.cloud.function.web.path) that can be used to access the +functions in the application context. The supported content types are +plain text and JSON.

+
+ +++++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
MethodPathRequestResponseStatus

GET

/{supplier}

-

Items from the named supplier

200 OK

POST

/{consumer}

JSON object or text

Mirrors input and pushes request body into consumer

202 Accepted

POST

/{consumer}

JSON array or text with new lines

Mirrors input and pushes body into consumer one by one

202 Accepted

POST

/{function}

JSON object or text

The result of applying the named function

200 OK

POST

/{function}

JSON array or text with new lines

The result of applying the named function

200 OK

GET

/{function}/{item}

-

Convert the item into an object and return the result of applying the function

200 OK

+
+

As the table above shows the behaviour of the endpoint depends on the method and also the type of incoming request data. When the incoming data is single valued, and the target function is declared as obviously single valued (i.e. not returning a collection or Flux), then the response will also contain a single value. +For multi-valued responses the client can ask for a server-sent event stream by sending `Accept: text/event-stream".

+
+
+

If there is only a single function (consumer etc.) in the catalog, the name in the path is optional. +Composite functions can be addressed using pipes or commas to separate function names (pipes are legal in URL paths, but a bit awkward to type on the command line).

+
+
+

For cases where there is more then a single function in catalog and you want to map a specific function to the root +path (e.g., "/"), or you want to compose several functions and then map to the root path you can do so by providing +spring.cloud.function.definition property which essentially used by spring-=cloud-function-web module to provide +default mapping for cases where there is some type of a conflict (e.g., more then one function available etc).

+
+
+

For example,

+
+
+
+
--spring.cloud.function.definition=foo|bar
+
+
+
+

The above property will compose 'foo' and 'bar' function and map the composed function to the "/" path.

+
+
+

Functions and consumers that are declared with input and output in Message<?> will see the request headers on the input messages, and the output message headers will be converted to HTTP headers.

+
+
+

When POSTing text the response format might be different with Spring Boot 2.0 and older versions, depending on the content negotiation (provide content type and accpt headers for the best results).

+
+
+
+
+

Standalone Streaming Applications

+
+
+

To send or receive messages from a broker (such as RabbitMQ or Kafka) you can leverage spring-cloud-stream project and it’s integration with Spring Cloud Function. +Please refer to Spring Cloud Function section of the Spring Cloud Stream reference manual for more details and examples.

+
+
+
+
+

Deploying a Packaged Function

+
+
+

Spring Cloud Function provides a "deployer" library that allows you to launch a jar file (or exploded archive, or set of jar files) with an isolated class loader and expose the functions defined in it. This is quite a powerful tool that would allow you to, for instance, adapt a function to a range of different input-output adapters without changing the target jar file. Serverless platforms often have this kind of feature built in, so you could see it as a building block for a function invoker in such a platform (indeed the Riff Java function invoker uses this library).

+
+
+

The standard entry point is to add spring-cloud-function-deployer to the classpath, the deployer kicks in and looks for some configuration to tell it where to find the function jar.

+
+
+
+
<dependency>
+	<groupId>org.springframework.cloud</groupId>
+	<artifactId>spring-cloud-function-deployer</artifactId>
+	<version>${spring.cloud.function.version}</version>
+</dependency>
+
+
+
+

At a minimum the user has to provide a spring.cloud.function.location which is a URL or resource location for the archive containing the functions. It can optionally use a maven: prefix to locate the artifact via a dependency lookup (see FunctionProperties for complete details). A Spring Boot application is bootstrapped from the jar file, using the MANIFEST.MF to locate a start class, so that a standard Spring Boot fat jar works well, for example. If the target jar can be launched successfully then the result is a function registered in the main application’s FunctionCatalog. The registered function can be applied by code in the main application, even though it was created in an isolated class loader (by deault).

+
+
+

Here is the example of deploying a JAR which contains an 'uppercase' function and invoking it .

+
+
+
+
@SpringBootApplication
+public class DeployFunctionDemo {
+
+	public static void main(String[] args) {
+		ApplicationContext context = SpringApplication.run(DeployFunctionDemo.class,
+				"--spring.cloud.function.location=..../target/uppercase-0.0.1-SNAPSHOT.jar",
+				"--spring.cloud.function.definition=uppercase");
+
+		FunctionCatalog catalog = context.getBean(FunctionCatalog.class);
+		Function<String, String> function = catalog.lookup("uppercase");
+		System.out.println(function.apply("hello"));
+	}
+}
+
+
+
+
+
+

Functional Bean Definitions

+
+
+

Spring Cloud Function supports a "functional" style of bean declarations for small apps where you need fast startup. The functional style of bean declaration was a feature of Spring Framework 5.0 with significant enhancements in 5.1.

+
+
+

Comparing Functional with Traditional Bean Definitions

+
+

Here’s a vanilla Spring Cloud Function application from with the +familiar @Configuration and @Bean declaration style:

+
+
+
+
@SpringBootApplication
+public class DemoApplication {
+
+  @Bean
+  public Function<String, String> uppercase() {
+    return value -> value.toUpperCase();
+  }
+
+  public static void main(String[] args) {
+    SpringApplication.run(DemoApplication.class, args);
+  }
+
+}
+
+
+
+

You can run the above in a serverless platform, like AWS Lambda or Azure Functions, or you can run it in its own HTTP server just by including spring-cloud-function-starter-web on the classpath. Running the main method would expose an endpoint that you can use to ping that uppercase function:

+
+
+
+
$ curl localhost:8080 -d foo
+FOO
+
+
+
+

The web adapter in spring-cloud-function-starter-web uses Spring MVC, so you needed a Servlet container. You can also use Webflux where the default server is netty (even though you can still use Servlet containers if you want to) - just include the spring-cloud-starter-function-webflux dependency instead. The functionality is the same, and the user application code can be used in both.

+
+
+

Now for the functional beans: the user application code can be recast into "functional" +form, like this:

+
+
+
+
@SpringBootConfiguration
+public class DemoApplication implements ApplicationContextInitializer<GenericApplicationContext> {
+
+  public static void main(String[] args) {
+    FunctionalSpringApplication.run(DemoApplication.class, args);
+  }
+
+  public Function<String, String> uppercase() {
+    return value -> value.toUpperCase();
+  }
+
+  @Override
+  public void initialize(GenericApplicationContext context) {
+    context.registerBean("demo", FunctionRegistration.class,
+        () -> new FunctionRegistration<>(uppercase())
+            .type(FunctionType.from(String.class).to(String.class)));
+  }
+
+}
+
+
+
+

The main differences are:

+
+
+
    +
  • +

    The main class is an ApplicationContextInitializer.

    +
    • +
  • +

    The @Bean methods have been converted to calls to context.registerBean()

    +
    • +
  • +

    The @SpringBootApplication has been replaced with +@SpringBootConfiguration to signify that we are not enabling Spring +Boot autoconfiguration, and yet still marking the class as an "entry +point".

    +
    • +
  • +

    The SpringApplication from Spring Boot has been replaced with a +FunctionalSpringApplication from Spring Cloud Function (it’s a +subclass).

    +
    • +
+
+
+

The business logic beans that you register in a Spring Cloud Function app are of type FunctionRegistration. This is a wrapper that contains both the function and information about the input and output types. In the @Bean form of the application that information can be derived reflectively, but in a functional bean registration some of it is lost unless we use a FunctionRegistration.

+
+
+

An alternative to using an ApplicationContextInitializer and FunctionRegistration is to make the application itself implement Function (or Consumer or Supplier). Example (equivalent to the above):

+
+
+
+
@SpringBootConfiguration
+public class DemoApplication implements Function<String, String> {
+
+  public static void main(String[] args) {
+    FunctionalSpringApplication.run(DemoApplication.class, args);
+  }
+
+  @Override
+  public String uppercase(String value) {
+    return value.toUpperCase();
+  }
+
+}
+
+
+
+

It would also work if you add a separate, standalone class of type Function and register it with the SpringApplication using an alternative form of the run() method. The main thing is that the generic type information is available at runtime through the class declaration.

+
+
+

The app runs in its own HTTP server if you add spring-cloud-starter-function-webflux (it won’t work with the MVC starter at the moment because the functional form of the embedded Servlet container hasn’t been implemented). The app also runs just fine in AWS Lambda or Azure Functions, and the improvements in startup time are dramatic.

+
+
+ + + + + +
+ + +The "lite" web server has some limitations for the range of Function signatures - in particular it doesn’t (yet) support Message input and output, but POJOs and any kind of Publisher should be fine. +
+
+
+
+

Testing Functional Applications

+
+

Spring Cloud Function also has some utilities for integration testing that will be very familiar to Spring Boot users. For example, here is an integration test for the HTTP server wrapping the app above:

+
+
+
+
@RunWith(SpringRunner.class)
+@FunctionalSpringBootTest
+@AutoConfigureWebTestClient
+public class FunctionalTests {
+
+	@Autowired
+	private WebTestClient client;
+
+	@Test
+	public void words() throws Exception {
+		client.post().uri("/").body(Mono.just("foo"), String.class).exchange()
+				.expectStatus().isOk().expectBody(String.class).isEqualTo("FOO");
+	}
+
+}
+
+
+
+

This test is almost identical to the one you would write for the @Bean version of the same app - the only difference is the @FunctionalSpringBootTest annotation, instead of the regular @SpringBootTest. All the other pieces, like the @Autowired WebTestClient, are standard Spring Boot features.

+
+
+

Or you could write a test for a non-HTTP app using just the FunctionCatalog. For example:

+
+
+
+
@RunWith(SpringRunner.class)
+@FunctionalSpringBootTest
+public class FunctionalTests {
+
+	@Autowired
+	private FunctionCatalog catalog;
+
+	@Test
+	public void words() throws Exception {
+		Function<Flux<String>, Flux<String>> function = catalog.lookup(Function.class,
+				"function");
+		assertThat(function.apply(Flux.just("foo")).blockFirst()).isEqualTo("FOO");
+	}
+
+}
+
+
+
+

(The FunctionCatalog always returns functions from Flux to Flux, even if the user declares them with a simpler signature.)

+
+
+
+

Limitations of Functional Bean Declaration

+
+

Most Spring Cloud Function apps have a relatively small scope compared to the whole of Spring Boot, so we are able to adapt it to these functional bean definitions easily. If you step outside that limited scope, you can extend your Spring Cloud Function app by switching back to @Bean style configuration, or by using a hybrid approach. If you want to take advantage of Spring Boot autoconfiguration for integrations with external datastores, for example, you will need to use @EnableAutoConfiguration. Your functions can still be defined using the functional declarations if you want (i.e. the "hybrid" style), but in that case you will need to explicitly switch off the "full functional mode" using spring.functional.enabled=false so that Spring Boot can take back control.

+
+
+
+
+
+

Dynamic Compilation

+
+
+

There is a sample app that uses the function compiler to create a +function from a configuration property. The vanilla "function-sample" +also has that feature. And there are some scripts that you can run to +see the compilation happening at run time. To run these examples, +change into the scripts directory:

+
+
+
+
cd scripts
+
+
+
+

Also, start a RabbitMQ server locally (e.g. execute rabbitmq-server).

+
+
+

Start the Function Registry Service:

+
+
+
+
./function-registry.sh
+
+
+
+

Register a Function:

+
+
+
+
./registerFunction.sh -n uppercase -f "f->f.map(s->s.toString().toUpperCase())"
+
+
+
+

Run a REST Microservice using that Function:

+
+
+
+
./web.sh -f uppercase -p 9000
+curl -H "Content-Type: text/plain" -H "Accept: text/plain" localhost:9000/uppercase -d foo
+
+
+
+

Register a Supplier:

+
+
+
+
./registerSupplier.sh -n words -f "()->Flux.just(\"foo\",\"bar\")"
+
+
+
+

Run a REST Microservice using that Supplier:

+
+
+
+
./web.sh -s words -p 9001
+curl -H "Accept: application/json" localhost:9001/words
+
+
+
+

Register a Consumer:

+
+
+
+
./registerConsumer.sh -n print -t String -f "System.out::println"
+
+
+
+

Run a REST Microservice using that Consumer:

+
+
+
+
./web.sh -c print -p 9002
+curl -X POST -H "Content-Type: text/plain" -d foo localhost:9002/print
+
+
+
+

Run Stream Processing Microservices:

+
+
+

First register a streaming words supplier:

+
+
+
+
./registerSupplier.sh -n wordstream -f "()->Flux.interval(Duration.ofMillis(1000)).map(i->\"message-\"+i)"
+
+
+
+

Then start the source (supplier), processor (function), and sink (consumer) apps +(in reverse order):

+
+
+
+
./stream.sh -p 9103 -i uppercaseWords -c print
+./stream.sh -p 9102 -i words -f uppercase -o uppercaseWords
+./stream.sh -p 9101 -s wordstream -o words
+
+
+
+

The output will appear in the console of the sink app (one message per second, converted to uppercase):

+
+
+
+
MESSAGE-0
+MESSAGE-1
+MESSAGE-2
+MESSAGE-3
+MESSAGE-4
+MESSAGE-5
+MESSAGE-6
+MESSAGE-7
+MESSAGE-8
+MESSAGE-9
+...
+
+
+
+
+
+

Serverless Platform Adapters

+
+
+

As well as being able to run as a standalone process, a Spring Cloud +Function application can be adapted to run one of the existing +serverless platforms. In the project there are adapters for +AWS +Lambda, +Azure, +and +Apache +OpenWhisk. The Oracle Fn platform +has its own Spring Cloud Function adapter. And +Riff supports Java functions and its +Java Function +Invoker acts natively is an adapter for Spring Cloud Function jars.

+
+
+

AWS Lambda

+
+

The AWS adapter takes a Spring Cloud Function app and converts it to a form that can run in AWS Lambda.

+
+
+

The adapter has a couple of generic request handlers that you can use. The most generic is SpringBootStreamHandler, which uses a Jackson ObjectMapper provided by Spring Boot to serialize and deserialize the objects in the function. There is also a SpringBootRequestHandler which you can extend, and provide the input and output types as type parameters (enabling AWS to inspect the class and do the JSON conversions itself).

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name (e.g. as FUNCTION_NAME environment variable in AWS). The functions are extracted from the Spring Cloud FunctionCatalog (searching first for Function then Consumer and finally Supplier).

+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web or Stream adapter at runtime in Lambda, so you might +need to exclude those before you create the JAR you send to AWS. A Lambda application has to be +shaded, but a Spring Boot standalone application does not, so you can run the same app using 2 +separate jars (as per the sample). The sample app creates 2 jar files, one with an aws +classifier for deploying in Lambda, and one executable (thin) jar that includes spring-cloud-function-web +at runtime. Spring Cloud Function will try and locate a "main class" for you from the JAR file +manifest, using the Start-Class attribute (which will be added for you by the Spring Boot +tooling if you use the starter parent). If there is no Start-Class in your manifest you can +use an environment variable or system property MAIN_CLASS when you deploy the function to AWS.

+
+
+

If you are not using the functional bean definitions but relying on Spring Boot’s auto-configuration, +then additional transformers must be configured as part of the maven-shade-plugin execution.

+
+
+
+
<plugin>
+	<groupId>org.apache.maven.plugins</groupId>
+	<artifactId>maven-shade-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-maven-plugin</artifactId>
+		</dependency>
+	</dependencies>
+	<configuration>
+		<createDependencyReducedPom>false</createDependencyReducedPom>
+		<shadedArtifactAttached>true</shadedArtifactAttached>
+		<shadedClassifierName>aws</shadedClassifierName>
+		<transformers>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.handlers</resource>
+			</transformer>
+			<transformer implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
+				<resource>META-INF/spring.factories</resource>
+			</transformer>
+			<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
+				<resource>META-INF/spring.schemas</resource>
+			</transformer>
+		</transformers>
+	</configuration>
+</plugin>
+
+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on AWS Lambda, you can leverage Maven or Gradle + plugins offered by the cloud platform provider.

+
+
+
Maven
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-aws</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

As pointed out in the Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Maven Shade Plugin for that. +The example of the setup can be found above.

+
+
+

You can use theSpring Boot Maven Plugin to generate the thin jar.

+
+
+
+
<plugin>
+	<groupId>org.springframework.boot</groupId>
+	<artifactId>spring-boot-maven-plugin</artifactId>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot.experimental</groupId>
+			<artifactId>spring-boot-thin-layout</artifactId>
+			<version>${wrapper.version}</version>
+		</dependency>
+	</dependencies>
+</plugin>
+
+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to AWS Lambda with Maven here.

+
+
+
+
Gradle
+
+

In order to use the adapter plugin for Gradle, add the dependency to your build.gradle file:

+
+
+
+
dependencies {
+	compile("org.springframework.cloud:spring-cloud-function-adapter-aws:${version}")
+}
+
+
+
+

As pointed out in Notes on JAR Layout, you wil need a shaded jar in order to upload it +to AWS Lambda. You can use the Gradle Shadow Plugin for that:

+
+
+
+
buildscript {
+	dependencies {
+		classpath "com.github.jengelman.gradle.plugins:shadow:${shadowPluginVersion}"
+	}
+}
+apply plugin: 'com.github.johnrengelman.shadow'
+
+assemble.dependsOn = [shadowJar]
+
+import com.github.jengelman.gradle.plugins.shadow.transformers.*
+
+shadowJar {
+	classifier = 'aws'
+	dependencies {
+		exclude(
+			dependency("org.springframework.cloud:spring-cloud-function-web:${springCloudFunctionVersion}"))
+	}
+	// Required for Spring
+	mergeServiceFiles()
+	append 'META-INF/spring.handlers'
+	append 'META-INF/spring.schemas'
+	append 'META-INF/spring.tooling'
+	transform(PropertiesFileTransformer) {
+		paths = ['META-INF/spring.factories']
+		mergeStrategy = "append"
+	}
+}
+
+
+
+

You can use the Spring Boot Gradle Plugin and Spring Boot Thin Gradle Plugin to generate +the thin jar.

+
+
+
+
buildscript {
+	dependencies {
+		classpath("org.springframework.boot.experimental:spring-boot-thin-gradle-plugin:${wrapperVersion}")
+		classpath("org.springframework.boot:spring-boot-gradle-plugin:${springBootVersion}")
+	}
+}
+apply plugin: 'org.springframework.boot'
+apply plugin: 'org.springframework.boot.experimental.thin-launcher'
+assemble.dependsOn = [thinJar]
+
+
+
+

You can find the entire sample build.gradle file for deploying Spring Cloud Function +applications to AWS Lambda with Gradle here.

+
+
+
+
+

Upload

+
+

Build the sample under spring-cloud-function-samples/function-sample-aws and upload the -aws jar file to Lambda. The handler can be example.Handler or org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler (FQN of the class, not a method reference, although Lambda does accept method references).

+
+
+
+
./mvnw -U clean package
+
+
+
+

Using the AWS command line tools it looks like this:

+
+
+
+
aws lambda create-function --function-name Uppercase --role arn:aws:iam::[USERID]:role/service-role/[ROLE] --zip-file fileb://function-sample-aws/target/function-sample-aws-2.0.0.BUILD-SNAPSHOT-aws.jar --handler org.springframework.cloud.function.adapter.aws.SpringBootStreamHandler --description "Spring Cloud Function Adapter Example" --runtime java8 --region us-east-1 --timeout 30 --memory-size 1024 --publish
+
+
+
+

The input type for the function in the AWS sample is a Foo with a single property called "value". So you would need this to test it:

+
+
+
+
{
+  "value": "test"
+}
+
+
+
+ + + + + +
+ + +The AWS sample app is written in the "functional" style (as an ApplicationContextInitializer). This is much faster on startup in Lambda than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+

Type Conversion

+
+

Spring Cloud Function will attempt to transparently handle type conversion between the raw +input stream and types declared by your function.

+
+
+

For example, if your function signature is as such Function<Foo, Bar> we will attempt to convert +incoming stream event to an instance of Foo.

+
+
+

In the event type is not known or can not be determined (e.g., Function<?, ?>) we will attempt to +convert an incoming stream event to a generic Map.

+
+
+
Raw Input
+
+

There are times when you may want to have access to a raw input. In this case all you need is to declare your +function signature to accept InputStream. For example, Function<InputStream, ?>. In this case +we will not attempt any conversion and will pass the raw input directly to a function.

+
+
+
+
+
+

Microsoft Azure

+
+

The Azure adapter bootstraps a Spring Cloud Function context and channels function calls from the Azure framework into the user functions, using Spring Boot configuration where necessary. Azure Functions has quite a unique, but invasive programming model, involving annotations in user code that are specific to the platform. The easiest way to use it with Spring Cloud is to extend a base class and write a method in it with the @FunctionName annotation which delegates to a base class method.

+
+
+

This project provides an adapter layer for a Spring Cloud Function application onto Azure. +You can write an app with a single @Bean of type Function and it will be deployable in Azure if you get the JAR file laid out right.

+
+
+

There is an AzureSpringBootRequestHandler which you must extend, and provide the input and output types as annotated method parameters (enabling Azure to inspect the class and create JSON bindings). The base class has two useful methods (handleRequest and handleOutput) to which you can delegate the actual function call, so mostly the function will only ever have one line.

+
+
+

Example:

+
+
+
+
public class FooHandler extends AzureSpringBootRequestHandler<Foo, Bar> {
+	@FunctionName("uppercase")
+	public Bar execute(
+			@HttpTrigger(name = "req", methods = { HttpMethod.GET,
+					HttpMethod.POST }, authLevel = AuthorizationLevel.ANONYMOUS)
+                    Foo foo,
+			ExecutionContext context) {
+		return handleRequest(foo, context);
+	}
+}
+
+
+
+

This Azure handler will delegate to a Function<Foo,Bar> bean (or a Function<Publisher<Foo>,Publisher<Bar>>). Some Azure triggers (e.g. @CosmosDBTrigger) result in a input type of List and in that case you can bind to List in the Azure handler, or String (the raw JSON). The List input delegates to a Function with input type Map<String,Object>, or Publisher or List of the same type. The output of the Function can be a List (one-for-one) or a single value (aggregation), and the output binding in the Azure declaration should match.

+
+
+

If your app has more than one @Bean of type Function etc. then you can choose the one to use by configuring function.name. Or if you make the @FunctionName in the Azure handler method match the function name it should work that way (also for function apps with multiple functions). The functions are extracted from the Spring Cloud FunctionCatalog so the default function names are the same as the bean names.

+
+
+

Accessing Azure ExecutionContext

+
+

Some time there is a need to access the target execution context provided by Azure runtime in the form of com.microsoft.azure.functions.ExecutionContext. +For example one of such needs is logging, so it can appear in the Azure console.

+
+
+

For that purpose Spring Cloud Function will register ExecutionContext as bean in the Application context, so it could be injected into your function. +For example

+
+
+
+
@Bean
+public Function<Foo, Bar> uppercase(ExecutionContext targetContext) {
+	return foo -> {
+		targetContext.getLogger().info("Invoking 'uppercase' on " + foo.getValue());
+		return new Bar(foo.getValue().toUpperCase());
+	};
+}
+
+
+
+

Normally type-based injection should suffice, however if need to you can also utilise the bean name under which it is registered which is targetExecutionContext.

+
+
+
+

Notes on JAR Layout

+
+

You don’t need the Spring Cloud Function Web at runtime in Azure, so you can exclude this +before you create the JAR you deploy to Azure, but it won’t be used if you include it, so +it doesn’t hurt to leave it in. A function application on Azure is an archive generated by + the Maven plugin. The function lives in the JAR file generated by this project. + The sample creates it as an executable jar, using the thin layout, so that Azure can find + the handler classes. If you prefer you can just use a regular flat JAR file. + The dependencies should not be included.

+
+
+
+

Build file setup

+
+

In order to run Spring Cloud Function applications on Microsoft Azure, you can leverage the Maven +plugin offered by the cloud platform provider.

+
+
+

In order to use the adapter plugin for Maven, add the plugin dependency to your pom.xml +file:

+
+
+
+
<dependencies>
+	<dependency>
+		<groupId>org.springframework.cloud</groupId>
+		<artifactId>spring-cloud-function-adapter-azure</artifactId>
+	</dependency>
+</dependencies>
+
+
+
+

Then, configure the plugin. You will need to provide Azure-specific configuration for your +application, specifying the resourceGroup, appName and other optional properties, and + add the package goal execution so that the function.json file required by Azure is + generated for you. Full plugin documentation can be found in the plugin repository.

+
+
+
+
<plugin>
+	<groupId>com.microsoft.azure</groupId>
+	<artifactId>azure-functions-maven-plugin</artifactId>
+	<configuration>
+		<resourceGroup>${functionResourceGroup}</resourceGroup>
+		<appName>${functionAppName}</appName>
+	</configuration>
+	<executions>
+		<execution>
+			<id>package-functions</id>
+			<goals>
+				<goal>package</goal>
+			</goals>
+		</execution>
+	</executions>
+</plugin>
+
+
+
+

You will also have to ensure that the files to be scanned by the plugin can be found in the +Azure functions staging directory (see the plugin repository + for more details on the staging directory and it’s default location).

+
+
+

You can find the entire sample pom.xml file for deploying Spring Cloud Function +applications to Microsoft Azure with Maven here.

+
+
+ + + + + +
+ + +As of yet, only Maven plugin is available. Gradle plugin has not been created by +the cloud platform provider. +
+
+
+
+

Build

+
+
+
./mvnw -U clean package
+
+
+
+
+

Running the sample

+
+

You can run the sample locally, just like the other Spring Cloud Function samples:

+
+
+
+
+

and curl -H "Content-Type: text/plain" localhost:8080/function -d '{"value": "hello foobar"}'.

+
+
+

You will need the az CLI app (see https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-java-maven for more detail). To deploy the function on Azure runtime:

+
+
+
+
$ az login
+$ mvn azure-functions:deploy
+
+
+
+

On another terminal try this: curl https://<azure-function-url-from-the-log>/api/uppercase -d '{"value": "hello foobar!"}'. Please ensure that you use the right URL for the function above. Alternatively you can test the function in the Azure Dashboard UI (click on the function name, go to the right hand side and click "Test" and to the bottom right, "Run").

+
+
+

The input type for the function in the Azure sample is a Foo with a single property called "value". So you need this to test it with something like below:

+
+
+
+
{
+  "value": "foobar"
+}
+
+
+
+ + + + + +
+ + +The Azure sample app is written in the "non-functional" style (using @Bean). The functional style (with just Function or ApplicationContextInitializer) is much faster on startup in Azure than the traditional @Bean style, so if you don’t need @Beans (or @EnableAutoConfiguration) it’s a good choice. Warm starts are not affected. +
+
+
+
+
+
+
+ + + + + + + \ No newline at end of file diff --git a/spring-cloud-function/3.0.0.RELEASE/reference/htmlsingle/css/spring.css b/spring-cloud-function/3.0.0.RELEASE/reference/htmlsingle/css/spring.css new file mode 100644 index 00000000..40821db3 --- /dev/null +++ b/spring-cloud-function/3.0.0.RELEASE/reference/htmlsingle/css/spring.css @@ -0,0 +1 @@ +@import url("https://fonts.googleapis.com/css?family=Karla:400,700|Montserrat:400,700");/*! normalize.css v2.1.2 | MIT License | git.io/normalize */article,aside,details,figcaption,figure,footer,header,hgroup,main,nav,section,summary{display:block}audio,canvas,video{display:inline-block}audio:not([controls]){display:none;height:0}[hidden],template{display:none}script{display:none !important}html,body{font-size:100%}html{font-family:Karla, 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