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HIGH PERFORMANCE MICROSERVICES WITH RATPACK AND SPRING BOOT
DAN WOODS
@DANVELOPER
SENIOR
SOFTWARE
ENGINEER
WORKING ON CLOUD &
DEVOPS TOOLING
O'REILLY
AUTHOR, 2016
LEARNING RATPACK
SUPPORT YOUR
COMMUNITY.ALL ROYALTIES FOR LEARNING RATPACK
GO DIRECTLY TO GR8LADIES
HTTP://GR8LADIES.ORG
ROUGH AGENDA
> Brief overview
> Execution model
> Registries
> Registries + Spring
> Microservice example
> Performance numbers
OVERVIEW
Ratpack is a high throughput, non-blocking, asynchronous,
reactive web framework for the JVM
Built on Java 8, has first class support Groovy
Realistically, works great with every JVM language
@Grab('io.ratpack:ratpack-groovy:1.4.0-rc-2')
import static ratpack.groovy.Groovy.ratpack
ratpack {
handlers {
get { render "Hello World!" }
}
}
package app;
import ratpack.server.RatpackServer
public class Main {
public static void main(String args[]) throws Exception {
RatpackServer.start(spec -> spec
.handlers(chain -> chain
.get(ctx -> ctx.render("Hello World!"))
)
);
}
}
No opinions about how you build your application
Make common things as easy as possible
Explicit, no convention-over-configuration
First class concerns: performance, developer experience,
packaging
EXECUTION
MODEL
Asynchronous programming is hard!
Traditionally there is a temporal disconnect between
calling an async function and getting its response.
public void asyncDbCall(Long productId, Consumer callback) {
Product product = ... async db call + future + wait for future
callback.apply(product);
}
Bad things happen!
final List products = new ArrayList();
Long productId = request.pathTokens.productId;
db.asyncDbCall(productId, product -> products.add(product));
Long nextProductId = productId+1;
db.asyncDbCall(nextProductId, product -> products.add(product));
response.send(products);
There is no guarantee as to what order async calls will
be executed!
final List products = new ArrayList();
String productId = request.pathTokens.productId;
db.asyncDbCall(productId, product -> products.add(product)); // call may return first, maybe not!
String nextProductId = productId+1;
db.asyncDbCall(nextProductId, product -> products.add(product)); // call may return second, may not!
response.send(products); // what even is the value of `products` here!
Luckily, Ratpack's execution model provides deterministic
processing of asynchronous calls
An Execution in Ratpack is the equivalent construct to
a continuation
Ratpack Promise type denotes a frame in the
continuation (a.k.a "execution segments")
Execution segments are guaranteed to execute in their
given order.
RATPACK MAINTAINS A SMALL THREAD
POOL FOR ALL ITS PROCESSING
(TYPICALLY 2 * NUM CPU CORES)
While an execution segment is processing, its thread is
able to handle other processing and requests
Ratpack ensures the resources given to your application
are being efficiently utilized
Ratpack's RxJava integration provides a scheduler that
fits Observable into the execution model
Provides an implementation of Reactive Streams, which
also fits into the execution model
REGISTRIES
Abstraction over dependency injection
Provides a basic component binding infrastructure
REGISTRIES ARE
EVERYWHERE IN
RATPACK
CAN BE BACKED BY ANY COMPONENT-
PROVIDING SYSTEM
SPRING BOOT AND GUICE NATIVELY SUPPORTED
Can quickly prototype without any DI system
public static void main(String[] args) throws Exception {
RatpackServer.start(spec -> spec
.registryOf(r -> r.add(new MyAsyncDbService())) // bind my service in the registry
.handlers(chain -> chain
.get(ctx -> {
MyAsyncDbService db = ctx.get(MyAsyncDbService.class); // retrieve it later
// ...
})
)
);
}
Integrate with Spring Boot when you're ready!
@SpringBootApplication // Spring Boot!!
public class Main {
@Bean
public MyAsyncDbService myAsyncDbService() { // bind it as a bean!
return new MyAsyncDbService();
}
public static void main(String[] args) {
// turn Spring Boot into a Ratpack registry!
Registry registry = ratpack.spring.Spring.spring(Main.class);
RatpackServer.start(spec -> spec
.registry(registry)
.handlers(chain -> chain
.get(ctx -> {
MyAsyncDbService db = ctx.get(MyAsyncDbService.class); // retrieve your service!
// ...
})
)
)
}
}
Architect your application using all the helpful aspects
of Spring Boot, while using Ratpack under the hood for
high throughput, reactive, async, non-blocking
processing
MICROSERVICE EXAMPLE
CODE: HTTPS://GITHUB.COM/DANVELOPER/S1P-HIGH-PERF-MICROSERVICES
PERFORMANCE
NUMBERS
A quick tirade about performance testing...
Generalizing performance numbers for all use cases is
impossible
The numbers provided should be used as a guide, not the
word of law
"YOU SHOULDN'T
TEST ON THE
CLOUD!!"
Unrealistic.
Modern performance testing needs to be about how much
burst traffic can be sustained, without your service
falling over, before you can horizontally scale it.
PERFORMANCE NUMBERS
HTTPS://GITHUB.COM/DANVELOPER/S1P-HIGH-PERF-MICROSERVICES/BLOB/MASTER/README.MD
FUTURE
POSSIBILITIES
Spring 5 will be all reactive; will be possible to
integrate Spring controllers into Ratpack
Provide a scheduler to Project Reactor so that Flex
and Mono types can utilize the execution model
Questions?

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