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10 changes: 10 additions & 0 deletions play-java-websocket-example/.gitignore
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logs
target
build
/.idea
/.idea_modules
/.classpath
/.project
/.gradle
/.settings
/RUNNING_PID
27 changes: 27 additions & 0 deletions play-java-websocket-example/.mergify.yml
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pull_request_rules:
- name: automatic merge on CI success require review
conditions:
- status-success=Travis CI - Pull Request
- "#approved-reviews-by>=1"
- "#changes-requested-reviews-by=0"
- label!=block-merge
actions:
merge:
method: squash
strict: smart

- name: automatic merge on CI success for TemplateControl
conditions:
- status-success=Travis CI - Pull Request
- label=merge-when-green
- label!=block-merge
actions:
merge:
method: squash
strict: smart

- name: delete branch after merge
conditions:
- merged
actions:
delete_head_branch: {}
50 changes: 50 additions & 0 deletions play-java-websocket-example/.travis.yml
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language: scala
scala:
- 2.12.8

before_install:
- curl -sL https://github.com/shyiko/jabba/raw/master/install.sh | bash && . ~/.jabba/jabba.sh

env:
global:
- JABBA_HOME=$HOME/.jabba
matrix:
# There is no concise way to specify multi-dimensional build matrix:
# https://github.com/travis-ci/travis-ci/issues/1519
- SCRIPT=scripts/test-sbt [email protected]
- SCRIPT=scripts/test-sbt [email protected]
- SCRIPT=scripts/test-gradle [email protected]
- SCRIPT=scripts/test-gradle [email protected]

# Exclude some combinations from build matrix. See:
# https://docs.travis-ci.com/user/customizing-the-build/#Build-Matrix
matrix:
fast_finish: true
allow_failures:
# Current release of Gradle still does not supports Play 2.7.x releases
# As soon as there is a release of Gradle that fixes that, we can then
# remove this allowed failure.
- env: SCRIPT=scripts/test-gradle [email protected]
- env: SCRIPT=scripts/test-gradle [email protected]
# Java 11 is still not fully supported. It is good that we are already
# testing our sample applications to better discover possible problems
# but we can allow failures here too.
- env: SCRIPT=scripts/test-sbt [email protected]

install:
- $JABBA_HOME/bin/jabba install $TRAVIS_JDK
- unset _JAVA_OPTIONS
- export JAVA_HOME="$JABBA_HOME/jdk/$TRAVIS_JDK" && export PATH="$JAVA_HOME/bin:$PATH" && java -Xmx32m -version

script:
- $SCRIPT

before_cache:
- find $HOME/.ivy2 -name "ivydata-*.properties" -delete
- find $HOME/.sbt -name "*.lock" -delete

cache:
directories:
- "$HOME/.ivy2/cache"
- "$HOME/.gradle/caches"
- "$HOME/.jabba/jdk"
116 changes: 116 additions & 0 deletions play-java-websocket-example/LICENSE
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8 changes: 8 additions & 0 deletions play-java-websocket-example/NOTICE
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Written by Lightbend <[email protected]>

To the extent possible under law, the author(s) have dedicated all copyright and
related and neighboring rights to this software to the public domain worldwide.
This software is distributed without any warranty.

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85 changes: 85 additions & 0 deletions play-java-websocket-example/README.md
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# play-websocket-java-example

[![Build Status](https://travis-ci.org/playframework/play-java-websocket-example.svg?branch=2.6.x)](https://travis-ci.org/playframework/play-java-websocket-example) [![GitHub issues](https://img.shields.io/github/issues/playframework/play-websocket-java.svg?style=flat)](https://github.com/playframework/play-websocket-java/issues) [![GitHub forks](https://img.shields.io/github/forks/playframework/play-websocket-java.svg?style=flat)](https://github.com/playframework/play-websocket-java/network) [![GitHub stars](https://img.shields.io/github/stars/playframework/play-websocket-java.svg?style=flat)](https://github.com/playframework/play-websocket-java/stargazers)

This is an example Play application that shows how to use Play's Websocket API in Java, by showing a series of stock tickers updated using WebSocket.

The Websocket API is built on Akka Streams, and so is async, non-blocking, and backpressure aware. Using Akka Streams also means that interacting with Akka Actors is simple.

There are also tests showing how Junit and Akka Testkit are used to test actors and flows.

## Reactive Push

This application uses a WebSocket to push data to the browser in real-time. To create a WebSocket connection in Play, first a route must be defined in the `routes` file. Here is the route which will be used to setup the WebSocket connection:

```routes
GET /ws controllers.Application.ws
```

The `ws` method in the HomeController.java controller handles the request and does the protocol upgrade to the WebSocket connection. The `UserActor` stores the handle to the WebSocket connection.

Once the `UserActor` is created, the default stocks (defined in `application.conf`) are added to the user's list of watched stocks.

Each stock symbol has its own `StockActor` defined in StockActor.java. This actor holds the last 50 prices for the stock. Using a `FetchHistory` message the whole history can be retrieved. A `FetchLatest` message will generate a new price. Every `StockActor` sends itself a `FetchLatest` message every 75 milliseconds. Once a new price is generated it is added to the history and then a message is sent to each `UserActor` that is watching the stock. The `UserActor` then serializes the data as JSON and pushes it to the client using the WebSocket.

Underneath the covers, resources (threads) are only allocated to the Actors and WebSockets when they are needed. This is why Reactive Push is scalable with Play and Akka.

## Reactive UI - Real-time Chart

On the client-side, a Reactive UI updates the stock charts every time a message is received. The `index.scala.html` file produces the web page at <http://localhost:9000> and loads the JavaScript and CSS needed render the page and setup the UI.

The JavaScript for the page is compiled from the index.coffee file which is written in CoffeeScript (an elegant way to write JavaScript). Using jQuery, a page ready handler sets up the WebSocket connection and sets up functions which will be called when the server sends a message to the client through the WebSocket:

```coffee
$ ->
ws = new WebSocket $("body").data("ws-url")
ws.onmessage = (event) ->
message = JSON.parse event.data
```

The message is parsed and depending on whether the message contains the stock history or a stock update, a stock chart is either created or updated. The charts are created using the **Flot** JavaScript charting library. Using CoffeeScript, jQuery, and Flot makes it easy to build Reactive UI in the browser that can receive WebSocket push events and update the UI in real-time.

## Reactive Requests

When a web server gets a request, it allocates a thread to handle the request and produce a response. In a typical model the thread is allocated for the entire duration of the request and response, even if the web request is waiting for some other resource. A Reactive Request is a typical web request and response, but handled in an asynchronous and non-blocking way on the server. This means that when the thread for a web request is not actively being used, it can be released and reused for something else.

In the Reactive Stocks application the service which determines the stock sentiments is a Reactive Request. The route is defined in the `routes` file:

```routes
GET /sentiment/:symbol controllers.StockSentiment.get(symbol)
```

A `GET` request to `/sentiment/GOOG` will call `get("GOOG")` on the StockSentiment.java controller. That method begins with:

```scala
def get(symbol: String): Action[AnyContent] = Action.async {
```

The `async` block indicates that the controller will return a `Future[Result]` which is a handle to something that will produce a `Result` in the future. The `Future` provides a way to do asynchronous handling but doesn't necessarily have to be non-blocking. Often times web requests need to talk to other systems (databases, web services, etc). If a thread can't be deallocated while waiting for those other systems to respond, then it is blocking.

In this case a request is made to Twitter and then for each tweet, another request is made to a sentiment service. All of these requests, including the request from the browser, are all handled as Reactive Requests so that the entire pipeline is Reactive (asynchronous and non-blocking). This is called Reactive Composition.

## Reactive Composition

Combining multiple Reactive Requests together is Reactive Composition. The StockSentiment controller does Reactive Composition since it receives a request, makes a request to Twitter for tweets about a stock, and then for each tweet it makes a request to a sentiment service. All of these requests are Reactive Requests. None use threads when they are waiting for a response. Scala's **for comprehensions** make it very easy and elegant to do Reactive Composition. The basic structure is:

```scala
for {
tweets <- tweetsFuture
sentiments <- Future.sequence(futuresForTweetSentiment(tweets))
} yield Ok(sentiments)
```

Because the web client library in Play, `WS`, is asynchronous and non-blocking, all of the requests needed to get a stock's sentiments are Reactive Requests. Combined together these Reactive Requests are Reactive Composition.

## Reactive UI - Sentiments

The client-side of Reactive Requests and Reactive Composition is no different than the non-Reactive model. The browser makes an Ajax request to the server and then calls a JavaScript function when it receives a response. In the Reactive Stocks application, when a stock chart is flipped over it makes the request for the stock's sentiments. That is done using jQuery's `ajax` method in the index.coffee file. When the request returns data the `success` handler updates the UI.

## Further Learning

For more information, please see the documentation for Websockets and Akka Streams:

* <https://www.playframework.com/documentation/latest/JavaWebSockets>
* <http://doc.akka.io/docs/akka/current/java/stream/stream-flows-and-basics.html#stream-materialization>
* <http://doc.akka.io/docs/akka/current/java/stream/stream-integrations.html#integrating-with-actors>
13 changes: 13 additions & 0 deletions play-java-websocket-example/app/Module.java
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import actors.*;
import com.google.inject.AbstractModule;
import play.libs.akka.AkkaGuiceSupport;

@SuppressWarnings("unused")
public class Module extends AbstractModule implements AkkaGuiceSupport {
@Override
protected void configure() {
bindActor(StocksActor.class, "stocksActor");
bindActor(UserParentActor.class, "userParentActor");
bindActorFactory(UserActor.class, UserActor.Factory.class);
}
}
45 changes: 45 additions & 0 deletions play-java-websocket-example/app/actors/Messages.java
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package actors;

import stocks.Stock;

import java.util.Set;

import static java.util.Objects.requireNonNull;

public final class Messages {

public static final class WatchStocks {
final Set<String> symbols;

public WatchStocks(Set<String> symbols) {
this.symbols = requireNonNull(symbols);
}

@Override
public String toString() {
return "WatchStocks(" + symbols.toString() + ")";
}
}

public static final class UnwatchStocks {
final Set<String> symbols;

public UnwatchStocks(Set<String> symbols) {
this.symbols = requireNonNull(symbols);
}

@Override
public String toString() {
return "UnwatchStocks(" + symbols.toString() + ")";
}
}

public static class Stocks {
final Set<Stock> stocks;

public Stocks(Set<Stock> stocks) {
this.stocks = requireNonNull(stocks);
}
}
}

34 changes: 34 additions & 0 deletions play-java-websocket-example/app/actors/StocksActor.java
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package actors;

import akka.actor.AbstractActor;
import akka.event.Logging;
import akka.event.LoggingAdapter;
import stocks.Stock;

import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collector;
import java.util.stream.Collectors;

/**
* This actor contains a set of stocks internally that may be used by
* all websocket clients.
*/
public class StocksActor extends AbstractActor {

private final Map<String, Stock> stocksMap = new HashMap<>();

private final LoggingAdapter log = Logging.getLogger(getContext().system(), this);

@Override
public Receive createReceive() {
return receiveBuilder()
.match(Messages.WatchStocks.class, watchStocks -> {
Set<Stock> stocks = watchStocks.symbols.stream()
.map(symbol -> stocksMap.compute(symbol, (k, v) -> new Stock(k)))
.collect(Collectors.toSet());
sender().tell(new Messages.Stocks(stocks), self());
}).build();
}
}
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