Core modules

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Vert.x Core Manual

At the heart of Vert.x is a set of Java APIs that we call Vert.x Core

Vert.x core provides functionality for things like:

Writing TCP clients and servers
Writing HTTP clients and servers including support for WebSockets
The Event bus
Shared data - local maps and clustered distributed maps
Periodic and delayed actions
Deploying and undeploying Verticles
Datagram Sockets
DNS client
File system access
High availability
Native transports
Clustering

The functionality in core is fairly low level - you won’t find stuff like database access, authorisation or high level web functionality here - that kind of stuff you’ll find in Vert.x ext (extensions).

Vert.x core is small and lightweight. You just use the parts you want. It’s also entirely embeddable in your existing applications - we don’t force you to structure your applications in a special way just so you can use Vert.x.

You can use core from any of the other languages that Vert.x supports. But here’s a cool bit - we don’t force you to use the Java API directly from, say, JavaScript or Ruby - after all, different languages have different conventions and idioms, and it would be odd to force Java idioms on Ruby developers (for example). Instead, we automatically generate an idiomatic equivalent of the core Java APIs for each language.

From now on we’ll just use the word core to refer to Vert.x core.

If you are using Maven or Gradle, add the following dependency to the dependencies section of your project descriptor to access the Vert.x Core API:

Maven (in your pom.xml):

<dependency>
 <groupId>io.vertx</groupId>
 <artifactId>vertx-core</artifactId>
 <version>4.4.9</version>
</dependency>

Gradle (in your build.gradle file):

dependencies {
 compile 'io.vertx:vertx-core:4.4.9'
}

Let’s discuss the different concepts and features in core.

In the beginning there was Vert.x

You can’t do much in Vert.x-land unless you can communicate with a Vertx object!

It’s the control centre of Vert.x and is how you do pretty much everything, including creating clients and servers, getting a reference to the event bus, setting timers, as well as many other things.

So how do you get an instance?

If you’re embedding Vert.x then you simply create an instance as follows:

Vertx vertx = Vertx.vertx();

Most applications will only need a single Vert.x instance, but it’s possible to create multiple Vert.x instances if you require, for example, isolation between the event bus or different groups of servers and clients.

Specifying options when creating a Vertx object

When creating a Vert.x object you can also specify options if the defaults aren’t right for you:

Vertx vertx = Vertx.vertx(new VertxOptions().setWorkerPoolSize(40));

The VertxOptions object has many settings and allows you to configure things like clustering, high availability, pool sizes and various other settings.

Creating a clustered Vert.x object

If you’re creating a clustered Vert.x (See the section on the event bus for more information on clustering the event bus), then you will normally use the asynchronous variant to create the Vertx object.

This is because it usually takes some time (maybe a few seconds) for the different Vert.x instances in a cluster to group together. During that time, we don’t want to block the calling thread, so we give the result to you asynchronously.

Are you fluent?

You may have noticed that in the previous examples a fluent API was used.

A fluent API is where multiple methods calls can be chained together. For example:

request.response().putHeader("Content-Type", "text/plain").end("some text");

This is a common pattern throughout Vert.x APIs, so get used to it.

Chaining calls like this allows you to write code that’s a little bit less verbose. Of course, if you don’t like the fluent approach we don’t force you to do it that way, you can happily ignore it if you prefer and write your code like this:

HttpServerResponse response = request.response();
response.putHeader("Content-Type", "text/plain");
response.write("some text");
response.end();

Don’t call us, we’ll call you.

The Vert.x APIs are largely event driven. This means that when things happen in Vert.x that you are interested in, Vert.x will call you by sending you events.

Some example events are:

a timer has fired
some data has arrived on a socket,
some data has been read from disk
an exception has occurred
an HTTP server has received a request

You handle events by providing handlers to the Vert.x APIs. For example to receive a timer event every second you would do:

vertx.setPeriodic(1000, id -> {
  // This handler will get called every second
  System.out.println("timer fired!");
});

Or to receive an HTTP request:

server.requestHandler(request -> {
  // This handler will be called every time an HTTP request is received at the server
  request.response().end("hello world!");
});

Some time later when Vert.x has an event to pass to your handler Vert.x will call it asynchronously.

This leads us to some important concepts in Vert.x:

Don’t block me!

With very few exceptions (i.e. some file system operations ending in 'Sync'), none of the APIs in Vert.x block the calling thread.

If a result can be provided immediately, it will be returned immediately, otherwise you will usually provide a handler to receive events some time later.

Because none of the Vert.x APIs block threads that means you can use Vert.x to handle a lot of concurrency using just a small number of threads.

With a conventional blocking API the calling thread might block when:

Reading data from a socket
Writing data to disk
Sending a message to a recipient and waiting for a reply.
… Many other situations

In all the above cases, when your thread is waiting for a result it can’t do anything else - it’s effectively useless.

This means that if you want a lot of concurrency using blocking APIs then you need a lot of threads to prevent your application grinding to a halt.

Threads have overhead in terms of the memory they require (e.g. for their stack) and in context switching.

For the levels of concurrency required in many modern applications, a blocking approach just doesn’t scale.

Reactor and Multi-Reactor

We mentioned before that Vert.x APIs are event driven - Vert.x passes events to handlers when they are available.

In most cases Vert.x calls your handlers using a thread called an event loop.

As nothing in Vert.x or your application blocks, the event loop can merrily run around delivering events to different handlers in succession as they arrive.

Because nothing blocks, an event loop can potentially deliver huge amounts of events in a short amount of time. For example a single event loop can handle many thousands of HTTP requests very quickly.

We call this the Reactor Pattern.

You may have heard of this before - for example Node.js implements this pattern.

In a standard reactor implementation there is a single event loop thread which runs around in a loop delivering all events to all handlers as they arrive.

The trouble with a single thread is it can only run on a single core at any one time, so if you want your single threaded reactor application (e.g. your Node.js application) to scale over your multi-core server you have to start up and manage many different processes.

Vert.x works differently here. Instead of a single event loop, each Vertx instance maintains several event loops. By default we choose the number based on the number of available cores on the machine, but this can be overridden.

This means a single Vertx process can scale across your server, unlike Node.js.

We call this pattern the Multi-Reactor Pattern to distinguish it from the single threaded reactor pattern.

Even though a Vertx instance maintains multiple event loops, any particular handler will never be executed concurrently, and in most cases (with the exception of worker verticles) will always be called using the exact same event loop.

The Golden Rule - Don’t Block the Event Loop

We already know that the Vert.x APIs are non blocking and won’t block the event loop, but that’s not much help if you block the event loop yourself in a handler.

If you do that, then that event loop will not be able to do anything else while it’s blocked. If you block all of the event loops in Vertx instance then your application will grind to a complete halt!

So don’t do it! You have been warned.

Examples of blocking include:

Thread.sleep()
Waiting on a lock
Waiting on a mutex or monitor (e.g. synchronized section)
Doing a long lived database operation and waiting for a result
Doing a complex calculation that takes some significant time.
Spinning in a loop

If any of the above stop the event loop from doing anything else for a significant amount of time then you should go immediately to the naughty step, and await further instructions.

So… what is a significant amount of time?

How long is a piece of string? It really depends on your application and the amount of concurrency you require.

If you have a single event loop, and you want to handle 10000 http requests per second, then it’s clear that each request can’t take more than 0.1 ms to process, so you can’t block for any more time than that.

The maths is not hard and shall be left as an exercise for the reader.

If your application is not responsive it might be a sign that you are blocking an event loop somewhere. To help you diagnose such issues, Vert.x will automatically log warnings if it detects an event loop hasn’t returned for some time. If you see warnings like these in your logs, then you should investigate.

Thread vertx-eventloop-thread-3 has been blocked for 20458 ms

Vert.x will also provide stack traces to pinpoint exactly where the blocking is occurring.

If you want to turn off these warnings or change the settings, you can do that in the VertxOptions object before creating the Vertx object.

Future results

Vert.x 4 use futures to represent asynchronous results.

Any asynchronous method returns a Future object for the result of the call: a success or a failure.

You cannot interact directly with the result of a future, instead you need to set a handler that will be called when the future completes and the result is available, like any other kind of event.

FileSystem fs = vertx.fileSystem();

Future<FileProps> future = fs.props("/my_file.txt");

future.onComplete((AsyncResult<FileProps> ar) -> {
  if (ar.succeeded()) {
    FileProps props = ar.result();
    System.out.println("File size = " + props.size());
  } else {
    System.out.println("Failure: " + ar.cause().getMessage());
  }
});

Vert.x 3 provides a callback-only model. To allow an easy migration to Vert.x 4 we decided that each asynchronous method has also a callback version. The props method above has also a version props with a callback as method argument.

Do not confuse futures with promises.

If futures represent the "read-side" of an asynchronous result, promises are the "write-side". They allow you to defer the action of providing a result.

In most cases, you don’t need to create promises yourself in a Vert.x application. Future composition and Future coordination provide you with the tools to transform and merge asynchronous results.

However, if, in your codebase, you have legacy methods which use callbacks, you can leverage the fact that a promise extends io.vertx.core.Handler<io.vertx.core.AsyncResult>:

Promise<String> promise = Promise.promise();
legacyGreetAsync(promise);
Future<String> greeting = promise.future();

Terminal operations like onSuccess, onFailure and onComplete provide no guarantee whatsoever regarding the invocation order of callbacks.

Consider a future on which 2 callbacks are registered:

future.onComplete(ar -> {
  // Do something
});
future.onComplete(ar -> {
  // May be invoked first
});

It is possible that the second callback is invoked before the first one.

If you need such guarantee, consider using Future composition with andThen.

Future composition

compose can be used for chaining futures:

when the current future succeeds, apply the given function, that returns a future. When this returned future completes, the composition succeeds.
when the current future fails, the composition fails

FileSystem fs = vertx.fileSystem();

Future<Void> future = fs
  .createFile("/foo")
  .compose(v -> {
    // When the file is created (fut1), execute this:
    return fs.writeFile("/foo", Buffer.buffer());
  })
  .compose(v -> {
    // When the file is written (fut2), execute this:
    return fs.move("/foo", "/bar");
  });

In this example, 3 operations are chained together:

a file is created
data is written in this file
the file is moved

When these 3 steps are successful, the final future (future) will succeed. However, if one of the steps fails, the final future will fail.

Beyond this, Future offers more: map, recover, otherwise, andThen and even a flatMap which is an alias of compose

Future coordination

Coordination of multiple futures can be achieved with Vert.x futures. It supports concurrent composition (run several async operations in parallel) and sequential composition (chain async operations).

Future.all takes several futures arguments (up to 6) and returns a future that is succeeded when all the futures are succeeded and failed when at least one of the futures is failed:

Future<HttpServer> httpServerFuture = httpServer.listen();

Future<NetServer> netServerFuture = netServer.listen();

Future.all(httpServerFuture, netServerFuture).onComplete(ar -> {
  if (ar.succeeded()) {
    // All servers started
  } else {
    // At least one server failed
  }
});

The operations run concurrently, the Handler attached to the returned future is invoked upon completion of the composition. When one of the operation fails (one of the passed future is marked as a failure), the resulting future is marked as failed too. When all the operations succeed, the resulting future is completed with a success.

On success, the resultAt method guarantees the results in the same order specified in the call to Future.all. In the example above, regardless of which item completed first, the httpServer result can be accessed using resultAt(0) and the netServer result can be accessed using resultAt(1).

Alternatively, you can pass a list (potentially empty) of futures:

Future.all(Arrays.asList(future1, future2, future3));

While the all composition waits until all futures are successful (or one fails), the any composition waits for the first succeeded future. Future.any takes several futures arguments (up to 6) and returns a future that is succeeded when one of the futures is, and failed when all the futures are failed:

Future.any(future1, future2).onComplete(ar -> {
  if (ar.succeeded()) {
    // At least one is succeeded
  } else {
    // All failed
  }
});

A list of futures can be used also:

Future.any(Arrays.asList(f1, f2, f3));

The join composition waits until all futures are completed, either with a success or a failure. Future.join takes several futures arguments (up to 6) and returns a future that is succeeded when all the futures are succeeded, and failed when all the futures are completed and at least one of them is failed:

Future.join(future1, future2, future3).onComplete(ar -> {
  if (ar.succeeded()) {
    // All succeeded
  } else {
    // All completed and at least one failed
  }
});

A list of futures can be used also:

Future.join(Arrays.asList(future1, future2, future3));

CompletionStage interoperability

The Vert.x Future API offers compatibility from and to CompletionStage which is the JDK interface for composable asynchronous operations.

We can go from a Vert.x Future to a CompletionStage using the toCompletionStage method, as in:

Future<String> future = vertx.createDnsClient().lookup("vertx.io");
future.toCompletionStage().whenComplete((ip, err) -> {
  if (err != null) {
    System.err.println("Could not resolve vertx.io");
    err.printStackTrace();
  } else {
    System.out.println("vertx.io => " + ip);
  }
});

We can conversely go from a CompletionStage to Vert.x Future using Future.fromCompletionStage. There are 2 variants:

the first variant takes just a CompletionStage and calls the Future methods from the thread that resolves the CompletionStage instance, and
the second variant takes an extra Context parameter to call the Future methods on a Vert.x context.

In most cases the variant with a CompletionStage and a Context is the one you will want to use to respect the Vert.x threading model, since Vert.x Future are more likely to be used with Vert.x code, libraries and clients.

Here is an example of going from a CompletionStage to a Vert.x Future and dispatching on a context:

Future.fromCompletionStage(completionStage, vertx.getOrCreateContext())
  .flatMap(str -> {
    String key = UUID.randomUUID().toString();
    return storeInDb(key, str);
  })
  .onSuccess(str -> {
    System.out.println("We have a result: " + str);
  })
  .onFailure(err -> {
    System.err.println("We have a problem");
    err.printStackTrace();
  });

Verticles

Vert.x comes with a simple, scalable, actor-like deployment and concurrency model out of the box that you can use to save you writing your own.

This model is entirely optional and Vert.x does not force you to create your applications in this way if you don’t want to..

The model does not claim to be a strict actor-model implementation, but it does share similarities especially with respect to concurrency, scaling and deployment.

To use this model, you write your code as set of verticles.

Verticles are chunks of code that get deployed and run by Vert.x. A Vert.x instance maintains N event loop threads (where N by default is core*2) by default. Verticles can be written in any of the languages that Vert.x supports and a single application can include verticles written in multiple languages.

You can think of a verticle as a bit like an actor in the Actor Model.

An application would typically be composed of many verticle instances running in the same Vert.x instance at the same time. The different verticle instances communicate with each other by sending messages on the event bus.

Writing Verticles

Verticle classes must implement the Verticle interface.

They can implement it directly if you like but usually it’s simpler to extend the abstract class AbstractVerticle.

Here’s an example verticle:

public class MyVerticle extends AbstractVerticle {

 // Called when verticle is deployed
 public void start() {
 }

 // Optional - called when verticle is undeployed
 public void stop() {
 }

}

Normally you would override the start method like in the example above.

When Vert.x deploys the verticle it will call the start method, and when the method has completed the verticle will be considered started.

You can also optionally override the stop method. This will be called by Vert.x when the verticle is undeployed and when the method has completed the verticle will be considered stopped.

Asynchronous Verticle start and stop

Sometimes you want to do something in your verticle start-up which takes some time and you don’t want the verticle to be considered deployed until that happens. For example you might want to start an HTTP server in the start method and propagate the asynchronous result of the server listen method.

You can’t block waiting for the HTTP server to bind in your start method as that would break the Golden Rule.

So how can you do this?

The way to do it is to implement the asynchronous start method. This version of the method takes a Future as a parameter. When the method returns the verticle will not be considered deployed.

Some time later, after you’ve done everything you need to do (e.g. start the HTTP server), you can call complete on the Future (or fail) to signal that you’re done.

Here’s an example:

public class MyVerticle extends AbstractVerticle {

 private HttpServer server;

 public void start(Promise<Void> startPromise) {
   server = vertx.createHttpServer().requestHandler(req -> {
     req.response()
       .putHeader("content-type", "text/plain")
       .end("Hello from Vert.x!");
     });

   // Now bind the server:
   server.listen(8080, res -> {
     if (res.succeeded()) {
       startPromise.complete();
     } else {
       startPromise.fail(res.cause());
     }
   });
 }
}

Similarly, there is an asynchronous version of the stop method too. You use this if you want to do some verticle cleanup that takes some time.

public class MyVerticle extends AbstractVerticle {

 public void start() {
   // Do something
 }

 public void stop(Promise<Void> stopPromise) {
   obj.doSomethingThatTakesTime(res -> {
     if (res.succeeded()) {
       stopPromise.complete();
     } else {
       stopPromise.fail();
     }
   });
 }
}

INFO: You don’t need to manually stop the HTTP server started by a verticle, in the verticle’s stop method. Vert.x will automatically stop any running server when the verticle is undeployed.

Verticle Types

There are two different types of verticles:

Standard Verticles: These are the most common and useful type - they are always executed using an event loop thread. We’ll discuss this more in the next section.
Worker Verticles: These run using a thread from the worker pool. An instance is never executed concurrently by more than one thread.

Standard verticles

Standard verticles are assigned an event loop thread when they are created and the start method is called with that event loop. When you call any other methods that takes a handler on a core API from an event loop then Vert.x will guarantee that those handlers, when called, will be executed on the same event loop.

This means we can guarantee that all the code in your verticle instance is always executed on the same event loop (as long as you don’t create your own threads and call it!).

This means you can write all the code in your application as single threaded and let Vert.x worry about the threading and scaling. No more worrying about synchronized and volatile any more, and you also avoid many other cases of race conditions and deadlock so prevalent when doing hand-rolled 'traditional' multi-threaded application development.

Worker verticles

A worker verticle is just like a standard verticle but it’s executed using a thread from the Vert.x worker thread pool, rather than using an event loop.

Worker verticles are designed for calling blocking code, as they won’t block any event loops.

If you don’t want to use a worker verticle to run blocking code, you can also run inline blocking code directly while on an event loop.

If you want to deploy a verticle as a worker verticle you do that with setWorker.

DeploymentOptions options = new DeploymentOptions().setWorker(true);
vertx.deployVerticle("com.mycompany.MyOrderProcessorVerticle", options);

Worker verticle instances are never executed concurrently by Vert.x by more than one thread, but can executed by different threads at different times.

Deploying verticles programmatically

You can deploy a verticle using one of the deployVerticle method, specifying a verticle name or you can pass in a verticle instance you have already created yourself.

Deploying Verticle instances is Java only.

Verticle myVerticle = new MyVerticle();
vertx.deployVerticle(myVerticle);

You can also deploy verticles by specifying the verticle name.

The verticle name is used to look up the specific VerticleFactory that will be used to instantiate the actual verticle instance(s).

Different verticle factories are available for instantiating verticles in different languages and for various other reasons such as loading services and getting verticles from Maven at run-time.

This allows you to deploy verticles written in any language from any other language that Vert.x supports.

Here’s an example of deploying some different types of verticles:

vertx.deployVerticle("com.mycompany.MyOrderProcessorVerticle");

// Deploy a JavaScript verticle
vertx.deployVerticle("verticles/myverticle.js");

// Deploy a Ruby verticle verticle
vertx.deployVerticle("verticles/my_verticle.rb");

Rules for mapping a verticle name to a verticle factory

When deploying verticle(s) using a name, the name is used to select the actual verticle factory that will instantiate the verticle(s).

Verticle names can have a prefix - which is a string followed by a colon, which if present will be used to look-up the factory, e.g.

js:foo.js // Use the JavaScript verticle factory
groovy:com.mycompany.SomeGroovyCompiledVerticle // Use the Groovy verticle factory
service:com.mycompany:myorderservice // Uses the service verticle factory

If no prefix is present, Vert.x will look for a suffix and use that to lookup the factory, e.g.

foo.js // Will also use the JavaScript verticle factory
SomeScript.groovy // Will use the Groovy verticle factory

If no prefix or suffix is present, Vert.x will assume it’s a Java fully qualified class name (FQCN) and try and instantiate that.

How are Verticle Factories located?

Most Verticle factories are loaded from the classpath and registered at Vert.x startup.

You can also programmatically register and unregister verticle factories using registerVerticleFactory and unregisterVerticleFactory if you wish.

Waiting for deployment to complete

Verticle deployment is asynchronous and may complete some time after the call to deploy has returned.

If you want to be notified when deployment is complete you can deploy specifying a completion handler:

vertx
  .deployVerticle("com.mycompany.MyOrderProcessorVerticle")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Deployment id is: " + res.result());
    } else {
      System.out.println("Deployment failed!");
    }
  });

The completion handler will be passed a result containing the deployment ID string, if deployment succeeded.

This deployment ID can be used later if you want to undeploy the deployment.

Undeploying verticle deployments

Deployments can be undeployed with undeploy.

Un-deployment is itself asynchronous so if you want to be notified when un-deployment is complete you can deploy specifying a completion handler:

vertx
  .undeploy(deploymentID)
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Undeployed ok");
    } else {
      System.out.println("Undeploy failed!");
    }
  });

Specifying number of verticle instances

When deploying a verticle using a verticle name, you can specify the number of verticle instances that you want to deploy:

DeploymentOptions options = new DeploymentOptions().setInstances(16);
vertx.deployVerticle("com.mycompany.MyOrderProcessorVerticle", options);

This is useful for scaling easily across multiple cores. For example you might have a web-server verticle to deploy and multiple cores on your machine, so you want to deploy multiple instances to utilise all the cores.

Passing configuration to a verticle

Configuration in the form of JSON can be passed to a verticle at deployment time:

JsonObject config = new JsonObject().put("name", "tim").put("directory", "/blah");
DeploymentOptions options = new DeploymentOptions().setConfig(config);
vertx.deployVerticle("com.mycompany.MyOrderProcessorVerticle", options);

This configuration is then available via the Context object or directly using the config method. The configuration is returned as a JSON object so you can retrieve data as follows:

System.out.println("Configuration: " + config().getString("name"));

Accessing environment variables in a Verticle

Environment variables and system properties are accessible using the Java API:

System.getProperty("prop");
System.getenv("HOME");

High Availability

Verticles can be deployed with High Availability (HA) enabled. In that context, when a verticle is deployed on a vert.x instance that dies abruptly, the verticle is redeployed on another vert.x instance from the cluster.

To run an verticle with the high availability enabled, just append the -ha switch:

vertx run my-verticle.js -ha

When enabling high availability, no need to add -cluster.

More details about the high availability feature and configuration in the High Availability and Fail-Over section.

Running Verticles from the command line

You can use Vert.x directly in your Maven or Gradle projects in the normal way by adding a dependency to the Vert.x core library and hacking from there.

However you can also run Vert.x verticles directly from the command line if you wish.

To do this you need to download and install a Vert.x distribution, and add the bin directory of the installation to your PATH environment variable. Also make sure you have a Java JDK on your PATH.

Vert.x supports Java from 8 to 17.

The JDK is required to support on the fly compilation of Java code.

You can now run verticles by using the vertx run command. Here are some examples:

# Run a JavaScript verticle
vertx run my_verticle.js

# Run a Ruby verticle
vertx run a_n_other_verticle.rb

# Run a Groovy script verticle, clustered
vertx run FooVerticle.groovy -cluster

You can even run Java source verticles without compiling them first!

vertx run SomeJavaSourceFile.java

Vert.x will compile the Java source file on the fly before running it. This is really useful for quickly prototyping verticles and great for demos. No need to set-up a Maven or Gradle build first to get going!

For full information on the various options available when executing vertx on the command line, type vertx at the command line.

Causing Vert.x to exit

Threads maintained by Vert.x instances are not daemon threads so they will prevent the JVM from exiting.

If you are embedding Vert.x and you have finished with it, you can call close to close it down.

This will shut-down all internal thread pools and close other resources, and will allow the JVM to exit.

The Context object

When Vert.x provides an event to a handler or calls the start or stop methods of a Verticle, the execution is associated with a Context. Usually a context is an event-loop context and is tied to a specific event loop thread. So executions for that context always occur on that exact same event loop thread. In the case of worker verticles and running inline blocking code a worker context will be associated with the execution which will use a thread from the worker thread pool.

To retrieve the context, use the getOrCreateContext method:

Context context = vertx.getOrCreateContext();

If the current thread has a context associated with it, it reuses the context object. If not a new instance of context is created. You can test the type of context you have retrieved:

Context context = vertx.getOrCreateContext();
if (context.isEventLoopContext()) {
  System.out.println("Context attached to Event Loop");
} else if (context.isWorkerContext()) {
  System.out.println("Context attached to Worker Thread");
} else if (! Context.isOnVertxThread()) {
  System.out.println("Context not attached to a thread managed by vert.x");
}

When you have retrieved the context object, you can run code in this context asynchronously. In other words, you submit a task that will be eventually run in the same context, but later:

vertx.getOrCreateContext().runOnContext( (v) -> {
  System.out.println("This will be executed asynchronously in the same context");
});

When several handlers run in the same context, they may want to share data. The context object offers methods to store and retrieve data shared in the context. For instance, it lets you pass data to some action run with runOnContext:

final Context context = vertx.getOrCreateContext();
context.put("data", "hello");
context.runOnContext((v) -> {
  String hello = context.get("data");
});

The context object also let you access verticle configuration using the config method. Check the Passing configuration to a verticle section for more details about this configuration.

Executing periodic and delayed actions

It’s very common in Vert.x to want to perform an action after a delay, or periodically.

In standard verticles you can’t just make the thread sleep to introduce a delay, as that will block the event loop thread.

Instead you use Vert.x timers. Timers can be one-shot or periodic. We’ll discuss both

One-shot Timers

A one shot timer calls an event handler after a certain delay, expressed in milliseconds.

To set a timer to fire once you use setTimer method passing in the delay and a handler

long timerID = vertx.setTimer(1000, id -> {
  System.out.println("And one second later this is printed");
});

System.out.println("First this is printed");

The return value is a unique timer id which can later be used to cancel the timer. The handler is also passed the timer id.

Periodic Timers

You can also set a timer to fire periodically by using setPeriodic.

There will be an initial delay equal to the period.

The return value of setPeriodic is a unique timer id (long). This can be later used if the timer needs to be cancelled.

The argument passed into the timer event handler is also the unique timer id:

Keep in mind that the timer will fire on a periodic basis. If your periodic treatment takes a long amount of time to proceed, your timer events could run continuously or even worse : stack up.

In this case, you should consider using setTimer instead. Once your treatment has finished, you can set the next timer.

long timerID = vertx.setPeriodic(1000, id -> {
  System.out.println("And every second this is printed");
});

System.out.println("First this is printed");

Cancelling timers

To cancel a periodic timer, call cancelTimer specifying the timer id. For example:

vertx.cancelTimer(timerID);

Automatic clean-up in verticles

If you’re creating timers from inside verticles, those timers will be automatically closed when the verticle is undeployed.

Verticle worker pool

Verticles use the Vert.x worker pool for executing blocking actions, i.e executeBlocking or worker verticle.

A different worker pool can be specified in deployment options:

vertx.deployVerticle("the-verticle", new DeploymentOptions().setWorkerPoolName("the-specific-pool"));

The Event Bus

The event bus is the nervous system of Vert.x.

There is a single event bus instance for every Vert.x instance and it is obtained using the method eventBus.

The event bus allows different parts of your application to communicate with each other, irrespective of what language they are written in, and whether they’re in the same Vert.x instance, or in a different Vert.x instance.

It can even be bridged to allow client-side JavaScript running in a browser to communicate on the same event bus.

The event bus forms a distributed peer-to-peer messaging system spanning multiple server nodes and multiple browsers.

The event bus supports publish/subscribe, point-to-point, and request-response messaging.

The event bus API is very simple. It basically involves registering handlers, unregistering handlers and sending and publishing messages.

First some theory:

The Theory

Addressing

Messages are sent on the event bus to an address.

Vert.x doesn’t bother with any fancy addressing schemes. In Vert.x an address is simply a string. Any string is valid. However, it is wise to use some kind of scheme, e.g. using periods to demarcate a namespace.

Some examples of valid addresses are europe.news.feed1, acme.games.pacman, sausages, and X.

Handlers

Messages are received by handlers. You register a handler at an address.

Many different handlers can be registered at the same address.

A single handler can be registered at many different addresses.

Publish / subscribe messaging

The event bus supports publishing messages.

Messages are published to an address. Publishing means delivering the message to all handlers that are registered at that address.

This is the familiar publish/subscribe messaging pattern.

Point-to-point and Request-Response messaging

The event bus also supports point-to-point messaging.

Messages are sent to an address. Vert.x will then route them to just one of the handlers registered at that address.

If there is more than one handler registered at the address, one will be chosen using a non-strict round-robin algorithm.

With point-to-point messaging, an optional reply handler can be specified when sending the message.

When a message is received by a recipient, and has been handled, the recipient can optionally decide to reply to the message. If they do so, the reply handler will be called.

When the reply is received back by the sender, it too can be replied to. This can be repeated ad infinitum, and allows a dialog to be set up between two different verticles.

This is a common messaging pattern called the request-response pattern.

Best-effort delivery

Vert.x does its best to deliver messages and won’t consciously throw them away. This is called best-effort delivery.

However, in case of failure of all or parts of the event bus, there is a possibility messages might be lost.

If your application cares about lost messages, you should code your handlers to be idempotent, and your senders to retry after recovery.

Types of messages

Out of the box Vert.x allows any primitive/simple type, String, or buffers to be sent as messages.

However, it’s a convention and common practice in Vert.x to send messages as JSON

JSON is very easy to create, read and parse in all the languages that Vert.x supports, so it has become a kind of lingua franca for Vert.x.

However, you are not forced to use JSON if you don’t want to.

The event bus is very flexible and also supports sending arbitrary objects over the event bus. You can do this by defining a codec for the objects you want to send.

The Event Bus API

Let’s jump into the API.

Getting the event bus

You get a reference to the event bus as follows:

EventBus eb = vertx.eventBus();

There is a single instance of the event bus per Vert.x instance.

Registering Handlers

This simplest way to register a handler is using consumer. Here’s an example:

EventBus eb = vertx.eventBus();

eb.consumer("news.uk.sport", message -> {
  System.out.println("I have received a message: " + message.body());
});

When a message arrives for your handler, your handler will be called, passing in the message.

The object returned from call to consumer() is an instance of MessageConsumer.

This object can subsequently be used to unregister the handler, or use the handler as a stream.

Alternatively you can use consumer to return a MessageConsumer with no handler set, and then set the handler on that. For example:

EventBus eb = vertx.eventBus();

MessageConsumer<String> consumer = eb.consumer("news.uk.sport");
consumer.handler(message -> {
  System.out.println("I have received a message: " + message.body());
});

When registering a handler on a clustered event bus, it can take some time for the registration to reach all nodes of the cluster.

If you want to be notified when this has completed, you can register a completion handler on the MessageConsumer object.

consumer.completionHandler(res -> {
  if (res.succeeded()) {
    System.out.println("The handler registration has reached all nodes");
  } else {
    System.out.println("Registration failed!");
  }
});

Un-registering Handlers

To unregister a handler, call unregister.

If you are on a clustered event bus, un-registering can take some time to propagate across the nodes. If you want to be notified when this is complete, use unregister.

consumer
  .unregister()
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("The handler un-registration has reached all nodes");
    } else {
      System.out.println("Un-registration failed!");
    }
  });

Publishing messages

Publishing a message is simple. Just use publish specifying the address to publish it to.

eventBus.publish("news.uk.sport", "Yay! Someone kicked a ball");

That message will then be delivered to all handlers registered against the address news.uk.sport.

Sending messages

Sending a message will result in only one handler registered at the address receiving the message. This is the point-to-point messaging pattern. The handler is chosen in a non-strict round-robin fashion.

You can send a message with send.

eventBus.send("news.uk.sport", "Yay! Someone kicked a ball");

Setting headers on messages

Messages sent over the event bus can also contain headers. This can be specified by providing a DeliveryOptions when sending or publishing:

DeliveryOptions options = new DeliveryOptions();
options.addHeader("some-header", "some-value");
eventBus.send("news.uk.sport", "Yay! Someone kicked a ball", options);

Message ordering

Vert.x will deliver messages to any particular handler in the same order they were sent from any particular sender.

The Message object

The object you receive in a message handler is a Message.

The body of the message corresponds to the object that was sent or published.

The headers of the message are available with headers.

Acknowledging messages / sending replies

When using send the event bus attempts to deliver the message to a MessageConsumer registered with the event bus.

In some cases it’s useful for the sender to know when the consumer has received the message and "processed" it using request-response pattern.

To acknowledge that the message has been processed, the consumer can reply to the message by calling reply.

When this happens it causes a reply to be sent back to the sender and the reply handler is invoked with the reply.

An example will make this clear:

The receiver:

MessageConsumer<String> consumer = eventBus.consumer("news.uk.sport");
consumer.handler(message -> {
  System.out.println("I have received a message: " + message.body());
  message.reply("how interesting!");
});

The sender:

eventBus
  .request("news.uk.sport", "Yay! Someone kicked a ball across a patch of grass")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      System.out.println("Received reply: " + ar.result().body());
    }
  });

The reply can contain a message body which can contain useful information.

What the "processing" actually means is application-defined and depends entirely on what the message consumer does and is not something that the Vert.x event bus itself knows or cares about.

Some examples:

A simple message consumer which implements a service which returns the time of the day would acknowledge with a message containing the time of day in the reply body
A message consumer which implements a persistent queue, might acknowledge with true if the message was successfully persisted in storage, or false if not.
A message consumer which processes an order might acknowledge with true when the order has been successfully processed so it can be deleted from the database

Sending with timeouts

When sending a message with a reply handler, you can specify a timeout in the DeliveryOptions.

If a reply is not received within that time, the reply handler will be called with a failure.

The default timeout is 30 seconds.

Send Failures

Message sends can fail for other reasons, including:

There are no handlers available to send the message to
The recipient has explicitly failed the message using fail

In all cases, the reply handler will be called with the specific failure.

Message Codecs

You can send any object you like across the event bus if you define and register a message codec for it.

Message codecs have a name and you specify that name in the DeliveryOptions when sending or publishing the message:

eventBus.registerCodec(myCodec);

DeliveryOptions options = new DeliveryOptions().setCodecName(myCodec.name());

eventBus.send("orders", new MyPOJO(), options);

If you always want the same codec to be used for a particular type then you can register a default codec for it, then you don’t have to specify the codec on each send in the delivery options:

eventBus.registerDefaultCodec(MyPOJO.class, myCodec);

eventBus.send("orders", new MyPOJO());

You unregister a message codec with unregisterCodec.

Message codecs don’t always have to encode and decode as the same type. For example you can write a codec that allows a MyPOJO class to be sent, but when that message is sent to a handler it arrives as a MyOtherPOJO class.

Vert.x has built-in codecs for certain data types:

basic types (string, byte array, byte, int, long, double, boolean, short, char), or
some Vert.x data types (buffers, JSON array, JSON objects), or
types implementing the ClusterSerializable interface, or
types implementing the java.io.Serializable interface.

In clustered mode, ClusterSerializable and java.io.Serializable objects are rejected by default, for security reasons.

You can define which classes are allowed for encoding and decoding by providing functions which inspect the name of the class:

EventBus.clusterSerializableChecker(), and
EventBus.serializableChecker().

Clustered Event Bus

The event bus doesn’t just exist in a single Vert.x instance. By clustering different Vert.x instances together on your network they can form a single, distributed event bus.

Clustering programmatically

If you’re creating your Vert.x instance programmatically you get a clustered event bus by configuring the Vert.x instance as clustered;

VertxOptions options = new VertxOptions();
Vertx
  .clusteredVertx(options)
  .onComplete(res -> {
    if (res.succeeded()) {
      Vertx vertx = res.result();
      EventBus eventBus = vertx.eventBus();
      System.out.println("We now have a clustered event bus: " + eventBus);
    } else {
      System.out.println("Failed: " + res.cause());
    }
  });

You should also make sure you have a ClusterManager implementation on your classpath, for example the Hazelcast cluster manager.

Clustering on the command line

You can run Vert.x clustered on the command line with

vertx run my-verticle.js -cluster

Automatic clean-up in verticles

If you’re registering event bus handlers from inside verticles, those handlers will be automatically unregistered when the verticle is undeployed.

Configuring the event bus

The event bus can be configured. It is particularly useful when the event bus is clustered. Under the hood the event bus uses TCP connections to send and receive messages, so the EventBusOptions let you configure all aspects of these TCP connections. As the event bus acts as a server and client, the configuration is close to NetClientOptions and NetServerOptions.

VertxOptions options = new VertxOptions()
    .setEventBusOptions(new EventBusOptions()
        .setSsl(true)
        .setKeyStoreOptions(new JksOptions().setPath("keystore.jks").setPassword("wibble"))
        .setTrustStoreOptions(new JksOptions().setPath("keystore.jks").setPassword("wibble"))
        .setClientAuth(ClientAuth.REQUIRED)
    );

Vertx
  .clusteredVertx(options)
  .onComplete(res -> {
    if (res.succeeded()) {
      Vertx vertx = res.result();
      EventBus eventBus = vertx.eventBus();
      System.out.println("We now have a clustered event bus: " + eventBus);
    } else {
      System.out.println("Failed: " + res.cause());
    }
  });

The previous snippet depicts how you can use SSL connections for the event bus, instead of plain TCP connections.

WARNING: to enforce the security in clustered mode, you must configure the cluster manager to use encryption or enforce security. Refer to the documentation of the cluster manager for further details.

The event bus configuration needs to be consistent in all the cluster nodes.

The EventBusOptions also lets you specify whether or not the event bus is clustered, the port and host.

When used in containers, you can also configure the public host and port:

VertxOptions options = new VertxOptions()
    .setEventBusOptions(new EventBusOptions()
        .setClusterPublicHost("whatever")
        .setClusterPublicPort(1234)
    );

Vertx
  .clusteredVertx(options)
  .onComplete(res -> {
    if (res.succeeded()) {
      Vertx vertx = res.result();
      EventBus eventBus = vertx.eventBus();
      System.out.println("We now have a clustered event bus: " + eventBus);
    } else {
      System.out.println("Failed: " + res.cause());
    }
  });

JSON

Unlike some other languages, Java does not have first class support for JSON so we provide two classes to make handling JSON in your Vert.x applications a bit easier.

JSON objects

The JsonObject class represents JSON objects.

A JSON object is basically just a map which has string keys and values can be of one of the JSON supported types (string, number, boolean).

JSON objects also support null values.

Creating JSON objects

Empty JSON objects can be created with the default constructor.

You can create a JSON object from a string JSON representation as follows:

String jsonString = "{\"foo\":\"bar\"}";
JsonObject object = new JsonObject(jsonString);

You can create a JSON object from a map as follows:

Map<String, Object> map = new HashMap<>();
map.put("foo", "bar");
map.put("xyz", 3);
JsonObject object = new JsonObject(map);

Putting entries into a JSON object

Use the put methods to put values into the JSON object.

The method invocations can be chained because of the fluent API:

JsonObject object = new JsonObject();
object.put("foo", "bar").put("num", 123).put("mybool", true);

Getting values from a JSON object

You get values from a JSON object using the getXXX methods, for example:

String val = jsonObject.getString("some-key");
int intVal = jsonObject.getInteger("some-other-key");

Mapping between JSON objects and Java objects

You can create a JSON object from the fields of a Java object as follows:

You can instantiate a Java object and populate its fields from a JSON object as follows:

request.bodyHandler(buff -> {
  JsonObject jsonObject = buff.toJsonObject();
  User javaObject = jsonObject.mapTo(User.class);
});

Note that both of the above mapping directions use Jackson’s ObjectMapper#convertValue() to perform the mapping. See the Jackson documentation for information on the impact of field and constructor visibility, caveats on serialization and deserialization across object references, etc.

However, in the simplest case, both mapFrom and mapTo should succeed if all fields of the Java class are public (or have public getters/setters), and if there is a public default constructor (or no defined constructors).

Referenced objects will be transitively serialized/deserialized to/from nested JSON objects as long as the object graph is acyclic.

Encoding a JSON object to a String

You use encode to encode the object to a String form.

JSON arrays

The JsonArray class represents JSON arrays.

A JSON array is a sequence of values (string, number, boolean).

JSON arrays can also contain null values.

Creating JSON arrays

Empty JSON arrays can be created with the default constructor.

You can create a JSON array from a string JSON representation as follows:

String jsonString = "[\"foo\",\"bar\"]";
JsonArray array = new JsonArray(jsonString);

Adding entries into a JSON array

You add entries to a JSON array using the add methods.

JsonArray array = new JsonArray();
array.add("foo").add(123).add(false);

Getting values from a JSON array

You get values from a JSON array using the getXXX methods, for example:

String val = array.getString(0);
Integer intVal = array.getInteger(1);
Boolean boolVal = array.getBoolean(2);

Encoding a JSON array to a String

You use encode to encode the array to a String form.

Creating arbitrary JSON

Creating JSON object and array assumes you are using valid string representation.

When you are unsure of the string validity then you should use instead Json.decodeValue

Object object = Json.decodeValue(arbitraryJson);
if (object instanceof JsonObject) {
  // That's a valid json object
} else if (object instanceof JsonArray) {
  // That's a valid json array
} else if (object instanceof String) {
  // That's valid string
} else {
  // etc...
}

Json Pointers

Vert.x provides an implementation of Json Pointers from RFC6901. You can use pointers both for querying and for writing. You can build your JsonPointer using a string, a URI or manually appending paths:

JsonPointer pointer1 = JsonPointer.from("/hello/world");
// Build a pointer manually
JsonPointer pointer2 = JsonPointer.create()
  .append("hello")
  .append("world");

After instantiating your pointer, use queryJson to query a JSON value. You can update a Json Value using writeJson:

Object result1 = objectPointer.queryJson(jsonObject);
// Query a JsonArray
Object result2 = arrayPointer.queryJson(jsonArray);
// Write starting from a JsonObject
objectPointer.writeJson(jsonObject, "new element");
// Write starting from a JsonObject
arrayPointer.writeJson(jsonArray, "new element");

You can use Vert.x Json Pointer with any object model by providing a custom implementation of JsonPointerIterator

Buffers

Most data is shuffled around inside Vert.x using buffers.

A buffer is a sequence of zero or more bytes that can read from or written to and which expands automatically as necessary to accommodate any bytes written to it. You can perhaps think of a buffer as smart byte array.

Creating buffers

Buffers can create by using one of the static Buffer.buffer methods.

Buffers can be initialised from strings or byte arrays, or empty buffers can be created.

Here are some examples of creating buffers:

Create a new empty buffer:

Buffer buff = Buffer.buffer();

Create a buffer from a String. The String will be encoded in the buffer using UTF-8.

Buffer buff = Buffer.buffer("some string");

Create a buffer from a String: The String will be encoded using the specified encoding, e.g:

Buffer buff = Buffer.buffer("some string", "UTF-16");

Create a buffer from a byte[]

byte[] bytes = new byte[] {1, 3, 5};
Buffer buff = Buffer.buffer(bytes);

Create a buffer with an initial size hint. If you know your buffer will have a certain amount of data written to it you can create the buffer and specify this size. This makes the buffer initially allocate that much memory and is more efficient than the buffer automatically resizing multiple times as data is written to it.

Note that buffers created this way are empty. It does not create a buffer filled with zeros up to the specified size.

Buffer buff = Buffer.buffer(10000);

Writing to a Buffer

There are two ways to write to a buffer: appending, and random access. In either case buffers will always expand automatically to encompass the bytes. It’s not possible to get an IndexOutOfBoundsException with a buffer.

Appending to a Buffer

To append to a buffer, you use the appendXXX methods. Append methods exist for appending various different types.

The return value of the appendXXX methods is the buffer itself, so these can be chained:

Buffer buff = Buffer.buffer();

buff.appendInt(123).appendString("hello\n");

socket.write(buff);

Random access buffer writes

You can also write into the buffer at a specific index, by using the setXXX methods. Set methods exist for various different data types. All the set methods take an index as the first argument - this represents the position in the buffer where to start writing the data.

The buffer will always expand as necessary to accommodate the data.

Buffer buff = Buffer.buffer();

buff.setInt(1000, 123);
buff.setString(0, "hello");

Reading from a Buffer

Data is read from a buffer using the getXXX methods. Get methods exist for various datatypes. The first argument to these methods is an index in the buffer from where to get the data.

Buffer buff = Buffer.buffer();
for (int i = 0; i < buff.length(); i += 4) {
  System.out.println("int value at " + i + " is " + buff.getInt(i));
}

Working with unsigned numbers

Unsigned numbers can be read from or appended/set to a buffer with the getUnsignedXXX, appendUnsignedXXX and setUnsignedXXX methods. This is useful when implementing a codec for a network protocol optimized to minimize bandwidth consumption.

In the following example, value 200 is set at specified position with just one byte:

Buffer buff = Buffer.buffer(128);
int pos = 15;
buff.setUnsignedByte(pos, (short) 200);
System.out.println(buff.getUnsignedByte(pos));

The console shows '200'.

Buffer length

Use length to obtain the length of the buffer. The length of a buffer is the index of the byte in the buffer with the largest index + 1.

Copying buffers

Use copy to make a copy of the buffer

Slicing buffers

A sliced buffer is a new buffer which backs onto the original buffer, i.e. it does not copy the underlying data. Use slice to create a sliced buffers

Buffer re-use

After writing a buffer to a socket or other similar place, they cannot be re-used.

Writing TCP servers and clients

Vert.x allows you to easily write non blocking TCP clients and servers.

Creating a TCP server

The simplest way to create a TCP server, using all default options is as follows:

NetServer server = vertx.createNetServer();

Configuring a TCP server

If you don’t want the default, a server can be configured by passing in a NetServerOptions instance when creating it:

NetServerOptions options = new NetServerOptions().setPort(4321);
NetServer server = vertx.createNetServer(options);

Start the Server Listening

To tell the server to listen for incoming requests you use one of the listen alternatives.

To tell the server to listen at the host and port as specified in the options:

NetServer server = vertx.createNetServer();
server.listen();

Or to specify the host and port in the call to listen, ignoring what is configured in the options:

NetServer server = vertx.createNetServer();
server.listen(1234, "localhost");

The default host is 0.0.0.0 which means 'listen on all available addresses' and the default port is 0, which is a special value that instructs the server to find a random unused local port and use that.

The actual bind is asynchronous, so the server might not actually be listening until some time after the call to listen has returned.

If you want to be notified when the server is actually listening you can provide a handler to the listen call. For example:

NetServer server = vertx.createNetServer();
server
  .listen(1234, "localhost")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Server is now listening!");
    } else {
      System.out.println("Failed to bind!");
    }
  });

Listening on a random port

If 0 is used as the listening port, the server will find an unused random port to listen on.

To find out the real port the server is listening on you can call actualPort.

NetServer server = vertx.createNetServer();
server
  .listen(0, "localhost")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Server is now listening on actual port: " + server.actualPort());
    } else {
      System.out.println("Failed to bind!");
    }
  });

Getting notified of incoming connections

To be notified when a connection is made you need to set a connectHandler:

NetServer server = vertx.createNetServer();
server.connectHandler(socket -> {
  // Handle the connection in here
});

When a connection is made the handler will be called with an instance of NetSocket.

This is a socket-like interface to the actual connection, and allows you to read and write data as well as do various other things like close the socket.

Reading data from the socket

To read data from the socket you set the handler on the socket.

This handler will be called with an instance of Buffer every time data is received on the socket.

NetServer server = vertx.createNetServer();
server.connectHandler(socket -> {
  socket.handler(buffer -> {
    System.out.println("I received some bytes: " + buffer.length());
  });
});

Writing data to a socket

You write to a socket using one of write.

Buffer buffer = Buffer.buffer().appendFloat(12.34f).appendInt(123);
socket.write(buffer);

// Write a string in UTF-8 encoding
socket.write("some data");

// Write a string using the specified encoding
socket.write("some data", "UTF-16");

Write operations are asynchronous and may not occur until some time after the call to write has returned.

Closed handler

If you want to be notified when a socket is closed, you can set a closeHandler on it:

socket.closeHandler(v -> {
  System.out.println("The socket has been closed");
});

Handling exceptions

You can set an exceptionHandler to receive any exceptions that happen on the socket.

You can set an exceptionHandler to receive any exceptions that happens before the connection is passed to the connectHandler , e.g during the TLS handshake.

Event bus write handler

Every socket can register a handler on the event bus, and when any buffers are received in this handler, it writes them to itself. Those are local subscriptions, not reachable from other clustered nodes.

This enables you to write data to a socket which is potentially in a completely different verticle by sending the buffer to the address of that handler.

This feature is disabled by default, however you can enable it using setRegisterWriteHandler or setRegisterWriteHandler.

The address of the handler is given by writeHandlerID.

Local and remote addresses

The local address of a NetSocket can be retrieved using localAddress.

The remote address, (i.e. the address of the other end of the connection) of a NetSocket can be retrieved using remoteAddress.

Sending files or resources from the classpath

Files and classpath resources can be written to the socket directly using sendFile. This can be a very efficient way to send files, as it can be handled by the OS kernel directly where supported by the operating system.

Please see the chapter about serving files from the classpath for restrictions of the classpath resolution or disabling it.

socket.sendFile("myfile.dat");

Streaming sockets

Instances of NetSocket are also ReadStream and WriteStream instances, so they can be used to pipe data to or from other read and write streams.

See the chapter on streams for more information.

Upgrading connections to SSL/TLS

A non SSL/TLS connection can be upgraded to SSL/TLS using upgradeToSsl.

The server or client must be configured for SSL/TLS for this to work correctly. Please see the chapter on SSL/TLS for more information.

Closing a TCP Server

Call close to close the server. Closing the server closes any open connections and releases all server resources.

The close is actually asynchronous and might not complete until some time after the call has returned. If you want to be notified when the actual close has completed then you can pass in a handler.

This handler will then be called when the close has fully completed.

server
  .close()
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Server is now closed");
    } else {
      System.out.println("close failed");
    }
  });

Automatic clean-up in verticles

If you’re creating TCP servers and clients from inside verticles, those servers and clients will be automatically closed when the verticle is undeployed.

Scaling - sharing TCP servers

The handlers of any TCP server are always executed on the same event loop thread.

This means that if you are running on a server with a lot of cores, and you only have this one instance deployed then you will have at most one core utilised on your server.

In order to utilise more cores of your server you will need to deploy more instances of the server.

You can instantiate more instances programmatically in your code:

class MyVerticle extends AbstractVerticle {

  NetServer server;

  @Override
  public void start() throws Exception {
    server = vertx.createNetServer();
    server.connectHandler(socket -> {
      socket.handler(buffer -> {
        // Just echo back the data
        socket.write(buffer);
      });
    });
    server.listen(1234, "localhost");
  }
}

// Create a few instances so we can utilise cores
vertx.deployVerticle(MyVerticle.class, new DeploymentOptions().setInstances(10));

or, you can simply deploy more instances of your server verticle by using the -instances option on the command line:

>  vertx run com.mycompany.MyVerticle -instances 10

Once you do this you will find the echo server works functionally identically to before, but all your cores on your server can be utilised and more work can be handled.

At this point you might be asking yourself 'How can you have more than one server listening on the same host and port? Surely you will get port conflicts as soon as you try and deploy more than one instance?'

Vert.x does a little magic here.*

When you deploy another server on the same host and port as an existing server it doesn’t actually try and create a new server listening on the same host/port.

Instead it internally maintains just a single server, and, as incoming connections arrive it distributes them in a round-robin fashion to any of the connect handlers.

Consequently Vert.x TCP servers can scale over available cores while each instance remains single threaded.

Creating a TCP client

The simplest way to create a TCP client, using all default options is as follows:

NetClient client = vertx.createNetClient();

Configuring a TCP client

If you don’t want the default, a client can be configured by passing in a NetClientOptions instance when creating it:

NetClientOptions options = new NetClientOptions().setConnectTimeout(10000);
NetClient client = vertx.createNetClient(options);

Making connections

To make a connection to a server you use connect, specifying the port and host of the server and a handler that will be called with a result containing the NetSocket when connection is successful or with a failure if connection failed.

NetClientOptions options = new NetClientOptions().setConnectTimeout(10000);
NetClient client = vertx.createNetClient(options);
client
  .connect(4321, "localhost")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Connected!");
      NetSocket socket = res.result();
    } else {
      System.out.println("Failed to connect: " + res.cause().getMessage());
    }
  });

Configuring connection attempts

A client can be configured to automatically retry connecting to the server in the event that it cannot connect. This is configured with setReconnectInterval and setReconnectAttempts.

Currently, Vert.x will not attempt to reconnect if a connection fails, reconnect attempts and interval only apply to creating initial connections.

NetClientOptions options = new NetClientOptions().
  setReconnectAttempts(10).
  setReconnectInterval(500);

NetClient client = vertx.createNetClient(options);

By default, multiple connection attempts are disabled.

Logging network activity

For debugging purposes, network activity can be logged:

NetServerOptions options = new NetServerOptions().setLogActivity(true);

NetServer server = vertx.createNetServer(options);

Here is the output of a simple HTTP server

id: 0x359e3df6, L:/127.0.0.1:8080 - R:/127.0.0.1:65351] READ: 78B
        +-------------------------------------------------+
        |  0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f |
+--------+-------------------------------------------------+----------------+
|00000000| 47 45 54 20 2f 20 48 54 54 50 2f 31 2e 31 0d 0a |GET / HTTP/1.1..|
|00000010| 48 6f 73 74 3a 20 6c 6f 63 61 6c 68 6f 73 74 3a |Host: localhost:|
|00000020| 38 30 38 30 0d 0a 55 73 65 72 2d 41 67 65 6e 74 |8080..User-Agent|
|00000030| 3a 20 63 75 72 6c 2f 37 2e 36 34 2e 31 0d 0a 41 |: curl/7.64.1..A|
|00000040| 63 63 65 70 74 3a 20 2a 2f 2a 0d 0a 0d 0a       |ccept: */*....  |
+--------+-------------------------------------------------+----------------+
[id: 0x359e3df6, L:/127.0.0.1:8080 - R:/127.0.0.1:65351] WRITE: 50B
        +-------------------------------------------------+
        |  0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f |
+--------+-------------------------------------------------+----------------+
|00000000| 48 54 54 50 2f 31 2e 31 20 32 30 30 20 4f 4b 0d |HTTP/1.1 200 OK.|
|00000010| 0a 63 6f 6e 74 65 6e 74 2d 6c 65 6e 67 74 68 3a |.content-length:|
|00000020| 20 31 31 0d 0a 0d 0a 48 65 6c 6c 6f 20 57 6f 72 | 11....Hello Wor|
|00000030| 6c 64                                           |ld              |
+--------+-------------------------------------------------+----------------+
[id: 0x359e3df6, L:/127.0.0.1:8080 - R:/127.0.0.1:65351] READ COMPLETE
[id: 0x359e3df6, L:/127.0.0.1:8080 - R:/127.0.0.1:65351] FLUSH

By default, binary data is logged in hex format.

You can reduce the data format verbosity to only print the buffer length instead of the entire data by setting the log data fomat.

NetServerOptions options = new NetServerOptions()
  .setLogActivity(true)
  .setActivityLogDataFormat(ByteBufFormat.SIMPLE);

NetServer server = vertx.createNetServer(options);

Here is the same output with simple buffer format

[id: 0xda8d41dc, L:/127.0.0.1:8080 - R:/127.0.0.1:65399] READ: 78B
[id: 0xda8d41dc, L:/127.0.0.1:8080 - R:/127.0.0.1:65399] WRITE: 50B
[id: 0xda8d41dc, L:/127.0.0.1:8080 - R:/127.0.0.1:65399] READ COMPLETE
[id: 0xda8d41dc, L:/127.0.0.1:8080 - R:/127.0.0.1:65399] FLUSH
[id: 0xda8d41dc, L:/127.0.0.1:8080 - R:/127.0.0.1:65399] READ COMPLETE
[id: 0xda8d41dc, L:/127.0.0.1:8080 ! R:/127.0.0.1:65399] INACTIVE
[id: 0xda8d41dc, L:/127.0.0.1:8080 ! R:/127.0.0.1:65399] UNREGISTERED

Clients can also log network activity

NetClientOptions options = new NetClientOptions().setLogActivity(true);

NetClient client = vertx.createNetClient(options);

Network activity is logged by Netty with the DEBUG level and with the io.netty.handler.logging.LoggingHandler name. When using network activity logging there are a few things to keep in mind:

logging is not performed by Vert.x logging but by Netty
this is not a production feature

You should read the Netty logging section.

Throttling inbound and outbound bandwidth of TCP connections

TCP server (Net/Http) can be configured with traffic shaping options to enable bandwidth limiting. Both inbound and outbound bandwidth can be limited through TrafficShapingOptions. For NetServer, traffic shaping options can be set through NetServerOptions and for HttpServer it can be set through HttpServerOptions.

NetServerOptions options = new NetServerOptions() .setHost("localhost") .setPort(1234) .setTrafficShapingOptions(new TrafficShapingOptions() .setInboundGlobalBandwidth(64 * 1024) .setOutboundGlobalBandwidth(128 * 1024)); NetServer server = vertx.createNetServer(options);

HttpServerOptions options = new HttpServerOptions() .setHost("localhost") .setPort(1234) .setTrafficShapingOptions(new TrafficShapingOptions() .setInboundGlobalBandwidth(64 * 1024) .setOutboundGlobalBandwidth(128 * 1024));

HttpServer server = vertx.createHttpServer(options);

Configuring servers and clients to work with SSL/TLS

TCP clients and servers can be configured to use Transport Layer Security - earlier versions of TLS were known as SSL.

The APIs of the servers and clients are identical whether or not SSL/TLS is used, and it’s enabled by configuring the NetClientOptions or NetServerOptions instances used to create the servers or clients.

Enabling SSL/TLS on the server

SSL/TLS is enabled with ssl.

By default it is disabled.

Specifying key/certificate for the server

SSL/TLS servers usually provide certificates to clients in order verify their identity to clients.

Certificates/keys can be configured for servers in several ways:

The first method is by specifying the location of a Java key-store which contains the certificate and private key.

Java key stores can be managed with the keytool utility which ships with the JDK.

The password for the key store should also be provided:

NetServerOptions options = new NetServerOptions().setSsl(true).setKeyStoreOptions(
  new JksOptions().
    setPath("/path/to/your/server-keystore.jks").
    setPassword("password-of-your-keystore")
);
NetServer server = vertx.createNetServer(options);

Alternatively you can read the key store yourself as a buffer and provide that directly:

Buffer myKeyStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/server-keystore.jks");
JksOptions jksOptions = new JksOptions().
  setValue(myKeyStoreAsABuffer).
  setPassword("password-of-your-keystore");
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(jksOptions);
NetServer server = vertx.createNetServer(options);

Key/certificate in PKCS#12 format (http://en.wikipedia.org/wiki/PKCS_12), usually with the .pfx or the .p12 extension can also be loaded in a similar fashion than JKS key stores:

NetServerOptions options = new NetServerOptions().setSsl(true).setPfxKeyCertOptions(
  new PfxOptions().
    setPath("/path/to/your/server-keystore.pfx").
    setPassword("password-of-your-keystore")
);
NetServer server = vertx.createNetServer(options);

Buffer configuration is also supported:

Buffer myKeyStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/server-keystore.pfx");
PfxOptions pfxOptions = new PfxOptions().
  setValue(myKeyStoreAsABuffer).
  setPassword("password-of-your-keystore");
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setPfxKeyCertOptions(pfxOptions);
NetServer server = vertx.createNetServer(options);

Another way of providing server private key and certificate separately using .pem files.

NetServerOptions options = new NetServerOptions().setSsl(true).setPemKeyCertOptions(
  new PemKeyCertOptions().
    setKeyPath("/path/to/your/server-key.pem").
    setCertPath("/path/to/your/server-cert.pem")
);
NetServer server = vertx.createNetServer(options);

Buffer configuration is also supported:

Buffer myKeyAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/server-key.pem");
Buffer myCertAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/server-cert.pem");
PemKeyCertOptions pemOptions = new PemKeyCertOptions().
  setKeyValue(myKeyAsABuffer).
  setCertValue(myCertAsABuffer);
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setPemKeyCertOptions(pemOptions);
NetServer server = vertx.createNetServer(options);

Vert.x supports reading of unencrypted RSA and/or ECC based private keys from PKCS8 PEM files. RSA based private keys can also be read from PKCS1 PEM files. X.509 certificates can be read from PEM files containing a textual encoding of the certificate as defined by RFC 7468, Section 5.

Keep in mind that the keys contained in an unencrypted PKCS8 or a PKCS1 PEM file can be extracted by anybody who can read the file. Thus, make sure to put proper access restrictions on such PEM files in order to prevent misuse.

Finally, you can also load generic Java keystore, it is useful for using other KeyStore implementations like Bouncy Castle:

NetServerOptions options = new NetServerOptions().setSsl(true).setKeyCertOptions(
  new KeyStoreOptions().
    setType("BKS").
    setPath("/path/to/your/server-keystore.bks").
    setPassword("password-of-your-keystore")
);
NetServer server = vertx.createNetServer(options);

Specifying trust for the server

SSL/TLS servers can use a certificate authority in order to verify the identity of the clients.

Certificate authorities can be configured for servers in several ways:

Java trust stores can be managed with the keytool utility which ships with the JDK.

The password for the trust store should also be provided:

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setTrustStoreOptions(
    new JksOptions().
      setPath("/path/to/your/truststore.jks").
      setPassword("password-of-your-truststore")
  );
NetServer server = vertx.createNetServer(options);

Alternatively you can read the trust store yourself as a buffer and provide that directly:

Buffer myTrustStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/truststore.jks");
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setTrustStoreOptions(
    new JksOptions().
      setValue(myTrustStoreAsABuffer).
      setPassword("password-of-your-truststore")
  );
NetServer server = vertx.createNetServer(options);

Certificate authority in PKCS#12 format (http://en.wikipedia.org/wiki/PKCS_12), usually with the .pfx or the .p12 extension can also be loaded in a similar fashion than JKS trust stores:

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setPfxTrustOptions(
    new PfxOptions().
      setPath("/path/to/your/truststore.pfx").
      setPassword("password-of-your-truststore")
  );
NetServer server = vertx.createNetServer(options);

Buffer configuration is also supported:

Buffer myTrustStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/truststore.pfx");
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setPfxTrustOptions(
    new PfxOptions().
      setValue(myTrustStoreAsABuffer).
      setPassword("password-of-your-truststore")
  );
NetServer server = vertx.createNetServer(options);

Another way of providing server certificate authority using a list .pem files.

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setPemTrustOptions(
    new PemTrustOptions().
      addCertPath("/path/to/your/server-ca.pem")
  );
NetServer server = vertx.createNetServer(options);

Buffer configuration is also supported:

Buffer myCaAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/server-ca.pfx");
NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setClientAuth(ClientAuth.REQUIRED).
  setPemTrustOptions(
    new PemTrustOptions().
      addCertValue(myCaAsABuffer)
  );
NetServer server = vertx.createNetServer(options);

Enabling SSL/TLS on the client

Net Clients can also be easily configured to use SSL. They have the exact same API when using SSL as when using standard sockets.

To enable SSL on a NetClient the function setSSL(true) is called.

Client trust configuration

If the trustALl is set to true on the client, then the client will trust all server certificates. The connection will still be encrypted but this mode is vulnerable to 'man in the middle' attacks. I.e. you can’t be sure who you are connecting to. Use this with caution. Default value is false.

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setTrustAll(true);
NetClient client = vertx.createNetClient(options);

If trustAll is not set then a client trust store must be configured and should contain the certificates of the servers that the client trusts.

By default, host verification is disabled on the client. To enable host verification, set the algorithm to use on your client (only HTTPS and LDAPS is currently supported):

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setHostnameVerificationAlgorithm("HTTPS");
NetClient client = vertx.createNetClient(options);

Likewise server configuration, the client trust can be configured in several ways:

The first method is by specifying the location of a Java trust-store which contains the certificate authority.

It is just a standard Java key store, the same as the key stores on the server side. The client trust store location is set by using the function path on the jks options. If a server presents a certificate during connection which is not in the client trust store, the connection attempt will not succeed.

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setTrustStoreOptions(
    new JksOptions().
      setPath("/path/to/your/truststore.jks").
      setPassword("password-of-your-truststore")
  );
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myTrustStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/truststore.jks");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setTrustStoreOptions(
    new JksOptions().
      setValue(myTrustStoreAsABuffer).
      setPassword("password-of-your-truststore")
  );
NetClient client = vertx.createNetClient(options);

Certificate authority in PKCS#12 format (http://en.wikipedia.org/wiki/PKCS_12), usually with the .pfx or the .p12 extension can also be loaded in a similar fashion than JKS trust stores:

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPfxTrustOptions(
    new PfxOptions().
      setPath("/path/to/your/truststore.pfx").
      setPassword("password-of-your-truststore")
  );
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myTrustStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/truststore.pfx");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPfxTrustOptions(
    new PfxOptions().
      setValue(myTrustStoreAsABuffer).
      setPassword("password-of-your-truststore")
  );
NetClient client = vertx.createNetClient(options);

Another way of providing server certificate authority using a list .pem files.

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPemTrustOptions(
    new PemTrustOptions().
      addCertPath("/path/to/your/ca-cert.pem")
  );
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myTrustStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/ca-cert.pem");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPemTrustOptions(
    new PemTrustOptions().
      addCertValue(myTrustStoreAsABuffer)
  );
NetClient client = vertx.createNetClient(options);

Specifying key/certificate for the client

If the server requires client authentication then the client must present its own certificate to the server when connecting. The client can be configured in several ways:

The first method is by specifying the location of a Java key-store which contains the key and certificate. Again it’s just a regular Java key store. The client keystore location is set by using the function path on the jks options.

NetClientOptions options = new NetClientOptions().setSsl(true).setKeyStoreOptions(
  new JksOptions().
    setPath("/path/to/your/client-keystore.jks").
    setPassword("password-of-your-keystore")
);
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myKeyStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/client-keystore.jks");
JksOptions jksOptions = new JksOptions().
  setValue(myKeyStoreAsABuffer).
  setPassword("password-of-your-keystore");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setKeyStoreOptions(jksOptions);
NetClient client = vertx.createNetClient(options);

Key/certificate in PKCS#12 format (http://en.wikipedia.org/wiki/PKCS_12), usually with the .pfx or the .p12 extension can also be loaded in a similar fashion than JKS key stores:

NetClientOptions options = new NetClientOptions().setSsl(true).setPfxKeyCertOptions(
  new PfxOptions().
    setPath("/path/to/your/client-keystore.pfx").
    setPassword("password-of-your-keystore")
);
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myKeyStoreAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/client-keystore.pfx");
PfxOptions pfxOptions = new PfxOptions().
  setValue(myKeyStoreAsABuffer).
  setPassword("password-of-your-keystore");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPfxKeyCertOptions(pfxOptions);
NetClient client = vertx.createNetClient(options);

Another way of providing server private key and certificate separately using .pem files.

NetClientOptions options = new NetClientOptions().setSsl(true).setPemKeyCertOptions(
  new PemKeyCertOptions().
    setKeyPath("/path/to/your/client-key.pem").
    setCertPath("/path/to/your/client-cert.pem")
);
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myKeyAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/client-key.pem");
Buffer myCertAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/client-cert.pem");
PemKeyCertOptions pemOptions = new PemKeyCertOptions().
  setKeyValue(myKeyAsABuffer).
  setCertValue(myCertAsABuffer);
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setPemKeyCertOptions(pemOptions);
NetClient client = vertx.createNetClient(options);

Keep in mind that pem configuration, the private key is not crypted.

Updating SSL/TLS configuration

You can use the updateSSLOptions method to update the key/certifications or trust on a TCP server or client (e.g. to implement certificate rotation).

Future<Void> fut = server.updateSSLOptions(new SSLOptions()
  .setKeyCertOptions(
    new JksOptions()
      .setPath("/path/to/your/server-keystore.jks").
      setPassword("password-of-your-keystore")));

When the update succeeds the new SSL configuration is used, otherwise the previous configuration is kept.

Self-signed certificates for testing and development purposes

Do not use this in production settings, and note that the generated keys are very insecure.

It is very often the case that self-signed certificates are required, be it for unit / integration tests or for running a development version of an application.

SelfSignedCertificate can be used to provide self-signed PEM certificate helpers and give KeyCertOptions and TrustOptions configurations:

SelfSignedCertificate certificate = SelfSignedCertificate.create();

NetServerOptions serverOptions = new NetServerOptions()
  .setSsl(true)
  .setKeyCertOptions(certificate.keyCertOptions())
  .setTrustOptions(certificate.trustOptions());

vertx.createNetServer(serverOptions)
  .connectHandler(socket -> socket.end(Buffer.buffer("Hello!")))
  .listen(1234, "localhost");

NetClientOptions clientOptions = new NetClientOptions()
  .setSsl(true)
  .setKeyCertOptions(certificate.keyCertOptions())
  .setTrustOptions(certificate.trustOptions());

NetClient client = vertx.createNetClient(clientOptions);
client
  .connect(1234, "localhost")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      ar.result().handler(buffer -> System.out.println(buffer));
    } else {
      System.err.println("Woops: " + ar.cause().getMessage());
    }
  });

The client can also be configured to trust all certificates:

NetClientOptions clientOptions = new NetClientOptions()
  .setSsl(true)
  .setTrustAll(true);

Note that self-signed certificates also work for other TCP protocols like HTTPS:

SelfSignedCertificate certificate = SelfSignedCertificate.create();

vertx.createHttpServer(new HttpServerOptions()
  .setSsl(true)
  .setKeyCertOptions(certificate.keyCertOptions())
  .setTrustOptions(certificate.trustOptions()))
  .requestHandler(req -> req.response().end("Hello!"))
  .listen(8080);

Revoking certificate authorities

Trust can be configured to use a certificate revocation list (CRL) for revoked certificates that should no longer be trusted. The crlPath configures the crl list to use:

NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setTrustStoreOptions(trustOptions).
  addCrlPath("/path/to/your/crl.pem");
NetClient client = vertx.createNetClient(options);

Buffer configuration is also supported:

Buffer myCrlAsABuffer = vertx.fileSystem().readFileBlocking("/path/to/your/crl.pem");
NetClientOptions options = new NetClientOptions().
  setSsl(true).
  setTrustStoreOptions(trustOptions).
  addCrlValue(myCrlAsABuffer);
NetClient client = vertx.createNetClient(options);

Configuring the Cipher suite

By default, the TLS configuration will use the list of Cipher suites of the SSL engine:

JDK SSL engine when JdkSSLEngineOptions is used
OpenSSL engine when OpenSSLEngineOptions is used

This Cipher suite can be configured with a suite of enabled ciphers:

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions).
  addEnabledCipherSuite("ECDHE-RSA-AES128-GCM-SHA256").
  addEnabledCipherSuite("ECDHE-ECDSA-AES128-GCM-SHA256").
  addEnabledCipherSuite("ECDHE-RSA-AES256-GCM-SHA384").
  addEnabledCipherSuite("CDHE-ECDSA-AES256-GCM-SHA384");
NetServer server = vertx.createNetServer(options);

When the enabled cipher suites is defined (i.e not empty), it takes precedence over the default cipher suites of the SSL engine.

Cipher suite can be specified on the NetServerOptions or NetClientOptions configuration.

Configuring TLS protocol versions

By default, the default TLS configuration enables the following protocols: TLSv1.2 and TLSv1.3. Protocol versions can be enabled by explicitly adding them:

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions).
  addEnabledSecureTransportProtocol("TLSv1.1");
NetServer server = vertx.createNetServer(options);

They can also be removed:

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions).
  removeEnabledSecureTransportProtocol("TLSv1.2");
NetServer server = vertx.createNetServer(options);

Protocol versions can be specified on the NetServerOptions or NetClientOptions configuration.

TLS 1.0 (TLSv1) and TLS 1.1 (TLSv1.1) are widely deprecated and have been disabled by default since Vert.x 4.4.0.

SSL engine

The engine implementation can be configured to use OpenSSL instead of the JDK implementation. Before JDK started to use hardware intrinsics (CPU instructions) for AES in Java 8 and for RSA in Java 9, OpenSSL provided much better performances and CPU usage than the JDK engine.

The engine options to use is

the getSslEngineOptions options when it is set
otherwise JdkSSLEngineOptions

NetServerOptions options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions);

// Use JDK SSL engine explicitly
options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions).
  setJdkSslEngineOptions(new JdkSSLEngineOptions());

// Use OpenSSL engine
options = new NetServerOptions().
  setSsl(true).
  setKeyStoreOptions(keyStoreOptions).
  setOpenSslEngineOptions(new OpenSSLEngineOptions());

Server Name Indication (SNI)

Server Name Indication (SNI) is a TLS extension by which a client specifies a hostname attempting to connect: during the TLS handshake the client gives a server name and the server can use it to respond with a specific certificate for this server name instead of the default deployed certificate. If the server requires client authentication the server can use a specific trusted CA certificate depending on the indicated server name.

When SNI is active the server uses

the certificate CN or SAN DNS (Subject Alternative Name with DNS) to do an exact match, e.g www.example.com
the certificate CN or SAN DNS certificate to match a wildcard name, e.g *.example.com
otherwise the first certificate when the client does not present a server name or the presented server name cannot be matched

When the server additionally requires client authentication:

if JksOptions were used to set the trust options (options) then an exact match with the trust store alias is done
otherwise the available CA certificates are used in the same way as if no SNI is in place

You can enable SNI on the server by setting setSni to true and configured the server with multiple key/certificate pairs.

Java KeyStore files or PKCS12 files can store multiple key/cert pairs out of the box.

JksOptions keyCertOptions = new JksOptions().setPath("keystore.jks").setPassword("wibble");

NetServer netServer = vertx.createNetServer(new NetServerOptions()
    .setKeyStoreOptions(keyCertOptions)
    .setSsl(true)
    .setSni(true)
);

PemKeyCertOptions can be configured to hold multiple entries:

PemKeyCertOptions keyCertOptions = new PemKeyCertOptions()
    .setKeyPaths(Arrays.asList("default-key.pem", "host1-key.pem", "etc..."))
    .setCertPaths(Arrays.asList("default-cert.pem", "host2-key.pem", "etc...")
    );

NetServer netServer = vertx.createNetServer(new NetServerOptions()
    .setPemKeyCertOptions(keyCertOptions)
    .setSsl(true)
    .setSni(true)
);

The client implicitly sends the connecting host as an SNI server name for Fully Qualified Domain Name (FQDN).

You can provide an explicit server name when connecting a socket

NetClient client = vertx.createNetClient(new NetClientOptions()
    .setTrustStoreOptions(trustOptions)
    .setSsl(true)
);

// Connect to 'localhost' and present 'server.name' server name
client
  .connect(1234, "localhost", "server.name")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Connected!");
      NetSocket socket = res.result();
    } else {
      System.out.println("Failed to connect: " + res.cause().getMessage());
    }
  });

It can be used for different purposes:

present a server name different than the server host
present a server name while connecting to an IP
force to present a server name when using shortname

Application-Layer Protocol Negotiation (ALPN)

Application-Layer Protocol Negotiation (ALPN) is a TLS extension for application layer protocol negotiation. It is used by HTTP/2: during the TLS handshake the client gives the list of application protocols it accepts and the server responds with a protocol it supports.

Java TLS supports ALPN (Java 8 with the most recent versions).

OpenSSL ALPN support

OpenSSL also supports (native) ALPN.

OpenSSL requires to configure setOpenSslEngineOptions and use netty-tcnative jar on the classpath. Using tcnative may require OpenSSL to be installed on your OS depending on the tcnative implementation.

Using a proxy for client connections

The NetClient supports either a HTTP/1.x CONNECT, SOCKS4a or SOCKS5 proxy.

The proxy can be configured in the NetClientOptions by setting a ProxyOptions object containing proxy type, hostname, port and optionally username and password.

Here’s an example:

NetClientOptions options = new NetClientOptions()
  .setProxyOptions(new ProxyOptions().setType(ProxyType.SOCKS5)
    .setHost("localhost").setPort(1080)
    .setUsername("username").setPassword("secret"));
NetClient client = vertx.createNetClient(options);

The DNS resolution is always done on the proxy server, to achieve the functionality of a SOCKS4 client, it is necessary to resolve the DNS address locally.

You can use setNonProxyHosts to configure a list of host bypassing the proxy. The lists accepts * wildcard for matching domains:

NetClientOptions options = new NetClientOptions()
  .setProxyOptions(new ProxyOptions().setType(ProxyType.SOCKS5)
    .setHost("localhost").setPort(1080)
    .setUsername("username").setPassword("secret"))
  .addNonProxyHost("*.foo.com")
  .addNonProxyHost("localhost");
NetClient client = vertx.createNetClient(options);

Using HA PROXY protocol

HA PROXY protocol provides a convenient way to safely transport connection information such as a client’s address across multiple layers of NAT or TCP proxies.

HA PROXY protocol can be enabled by setting the option setUseProxyProtocol and adding the following dependency in your classpath:

<dependency>
 <groupId>io.netty</groupId>
 <artifactId>netty-codec-haproxy</artifactId>
 <!--<version>Should align with netty version that Vert.x uses</version>-->
</dependency>

NetServerOptions options = new NetServerOptions().setUseProxyProtocol(true);
NetServer server = vertx.createNetServer(options);
server.connectHandler(so -> {
  // Print the actual client address provided by the HA proxy protocol instead of the proxy address
  System.out.println(so.remoteAddress());

  // Print the address of the proxy
  System.out.println(so.localAddress());
});

Writing HTTP servers and clients

Vert.x allows you to easily write non blocking HTTP clients and servers.

Vert.x supports the HTTP/1.0, HTTP/1.1 and HTTP/2 protocols.

The base API for HTTP is the same for HTTP/1.x and HTTP/2, specific API features are available for dealing with the HTTP/2 protocol.

Creating an HTTP Server

The simplest way to create an HTTP server, using all default options is as follows:

HttpServer server = vertx.createHttpServer();

Configuring an HTTP server

If you don’t want the default, a server can be configured by passing in a HttpServerOptions instance when creating it:

HttpServerOptions options = new HttpServerOptions().setMaxWebSocketFrameSize(1000000);

HttpServer server = vertx.createHttpServer(options);

Configuring an HTTP/2 server

Vert.x supports HTTP/2 over TLS h2 and over TCP h2c.

h2 identifies the HTTP/2 protocol when used over TLS negotiated by Application-Layer Protocol Negotiation (ALPN)
h2c identifies the HTTP/2 protocol when using in clear text over TCP, such connections are established either with an HTTP/1.1 upgraded request or directly

To handle h2 requests, TLS must be enabled along with setUseAlpn:

HttpServerOptions options = new HttpServerOptions()
    .setUseAlpn(true)
    .setSsl(true)
    .setKeyStoreOptions(new JksOptions().setPath("/path/to/my/keystore"));

HttpServer server = vertx.createHttpServer(options);

ALPN is a TLS extension that negotiates the protocol before the client and the server start to exchange data.

Clients that don’t support ALPN will still be able to do a classic SSL handshake.

ALPN will usually agree on the h2 protocol, although http/1.1 can be used if the server or the client decides so.

To handle h2c requests, TLS must be disabled, the server will upgrade to HTTP/2 any request HTTP/1.1 that wants to upgrade to HTTP/2. It will also accept a direct h2c connection beginning with the PRI * HTTP/2.0\r\nSM\r\n preface.

most browsers won’t support h2c, so for serving web sites you should use h2 and not h2c.

When a server accepts an HTTP/2 connection, it sends to the client its initial settings. The settings define how the client can use the connection, the default initial settings for a server are:

getMaxConcurrentStreams: 100 as recommended by the HTTP/2 RFC
the default HTTP/2 settings values for the others

Logging network server activity

For debugging purposes, network activity can be logged.

HttpServerOptions options = new HttpServerOptions().setLogActivity(true);

HttpServer server = vertx.createHttpServer(options);

See the chapter on logging network activity for a detailed explanation.

Start the Server Listening

To tell the server to listen for incoming requests you use one of the listen alternatives.

To tell the server to listen at the host and port as specified in the options:

HttpServer server = vertx.createHttpServer();
server.listen();

Or to specify the host and port in the call to listen, ignoring what is configured in the options:

HttpServer server = vertx.createHttpServer();
server.listen(8080, "myhost.com");

The default host is 0.0.0.0 which means 'listen on all available addresses' and the default port is 80.

The actual bind is asynchronous so the server might not actually be listening until some time after the call to listen has returned.

If you want to be notified when the server is actually listening you can provide a handler to the listen call. For example:

HttpServer server = vertx.createHttpServer();
server
  .listen(8080, "myhost.com")
  .onComplete(res -> {
    if (res.succeeded()) {
      System.out.println("Server is now listening!");
    } else {
      System.out.println("Failed to bind!");
    }
  });

Getting notified of incoming requests

To be notified when a request arrives you need to set a requestHandler:

HttpServer server = vertx.createHttpServer();
server.requestHandler(request -> {
  // Handle the request in here
});

Handling requests

When a request arrives, the request handler is called passing in an instance of HttpServerRequest. This object represents the server side HTTP request.

The handler is called when the headers of the request have been fully read.

If the request contains a body, that body will arrive at the server some time after the request handler has been called.

The server request object allows you to retrieve the uri, path, params and headers, amongst other things.

Each server request object is associated with one server response object. You use response to get a reference to the HttpServerResponse object.

Here’s a simple example of a server handling a request and replying with "hello world" to it.

vertx.createHttpServer().requestHandler(request -> {
  request.response().end("Hello world");
}).listen(8080);

Request version

The version of HTTP specified in the request can be retrieved with version

Request method

Use method to retrieve the HTTP method of the request. (i.e. whether it’s GET, POST, PUT, DELETE, HEAD, OPTIONS, etc).

Request URI

Use uri to retrieve the URI of the request.

Note that this is the actual URI as passed in the HTTP request, and it’s almost always a relative URI.

The URI is as defined in Section 5.1.2 of the HTTP specification - Request-URI

Request path

Use path to return the path part of the URI

For example, if the request URI was `a/b/c/page.html?param1=abc&param2=xyz

Then the path would be /a/b/c/page.html

Request query

Use query to return the query part of the URI

For example, if the request URI was a/b/c/page.html?param1=abc&param2=xyz

Then the query would be param1=abc&param2=xyz

Request headers

Use headers to return the headers of the HTTP request.

This returns an instance of MultiMap - which is like a normal Map or Hash but allows multiple values for the same key - this is because HTTP allows multiple header values with the same key.

It also has case-insensitive keys, that means you can do the following:

MultiMap headers = request.headers();

// Get the User-Agent:
System.out.println("User agent is " + headers.get("user-agent"));

// You can also do this and get the same result:
System.out.println("User agent is " + headers.get("User-Agent"));

Request authority

Use authority to return the authority of the HTTP request.

For HTTP/1.x requests the host header is returned, for HTTP/1 requests the :authority pseudo header is returned.

Request parameters

Use params to return the parameters of the HTTP request.

Just like headers this returns an instance of MultiMap as there can be more than one parameter with the same name.

Request parameters are sent on the request URI, after the path. For example if the URI was /page.html?param1=abc&param2=xyz

Then the parameters would contain the following:

param1: 'abc'
param2: 'xyz

Note that these request parameters are retrieved from the URL of the request. If you have form attributes that have been sent as part of the submission of an HTML form submitted in the body of a multi-part/form-data request then they will not appear in the params here.

Remote address

The address of the sender of the request can be retrieved with remoteAddress.

Absolute URI

The URI passed in an HTTP request is usually relative. If you wish to retrieve the absolute URI corresponding to the request, you can get it with absoluteURI

End handler

The endHandler of the request is invoked when the entire request, including any body has been fully read.

Reading Data from the Request Body

Often an HTTP request contains a body that we want to read. As previously mentioned the request handler is called when just the headers of the request have arrived so the request object does not have a body at that point.

This is because the body may be very large (e.g. a file upload) and we don’t generally want to buffer the entire body in memory before handing it to you, as that could cause the server to exhaust available memory.

To receive the body, you can use the handler on the request, this will get called every time a chunk of the request body arrives. Here’s an example:

request.handler(buffer -> {
  System.out.println("I have received a chunk of the body of length " + buffer.length());
});

The object passed into the handler is a Buffer, and the handler can be called multiple times as data arrives from the network, depending on the size of the body.

In some cases (e.g. if the body is small) you will want to aggregate the entire body in memory, so you could do the aggregation yourself as follows:

Buffer totalBuffer = Buffer.buffer();

request.handler(buffer -> {
  System.out.println("I have received a chunk of the body of length " + buffer.length());
  totalBuffer.appendBuffer(buffer);
});

request.endHandler(v -> {
  System.out.println("Full body received, length = " + totalBuffer.length());
});

This is such a common case, that Vert.x provides a bodyHandler to do this for you. The body handler is called once when all the body has been received:

request.bodyHandler(totalBuffer -> {
  System.out.println("Full body received, length = " + totalBuffer.length());
});

Streaming requests

The request object is a ReadStream so you can pipe the request body to any WriteStream instance.

See the chapter on streams for a detailed explanation.

Handling HTML forms

HTML forms can be submitted with either a content type of application/x-www-form-urlencoded or multipart/form-data.

For url encoded forms, the form attributes are encoded in the url, just like normal query parameters.

For multi-part forms they are encoded in the request body, and as such are not available until the entire body has been read from the wire.

Multi-part forms can also contain file uploads.

If you want to retrieve the attributes of a multi-part form you should tell Vert.x that you expect to receive such a form before any of the body is read by calling setExpectMultipart with true, and then you should retrieve the actual attributes using formAttributes once the entire body has been read:

server.requestHandler(request -> {
  request.setExpectMultipart(true);
  request.endHandler(v -> {
    // The body has now been fully read, so retrieve the form attributes
    MultiMap formAttributes = request.formAttributes();
  });
});

Form attributes have a maximum size of 8192 bytes. When the client submits a form with an attribute size greater than this value, the file upload triggers an exception on HttpServerRequest exception handler. You can set a different maximum size with setMaxFormAttributeSize.

Handling form file uploads

Vert.x can also handle file uploads which are encoded in a multi-part request body.

To receive file uploads you tell Vert.x to expect a multi-part form and set an uploadHandler on the request.

This handler will be called once for every upload that arrives on the server.

The object passed into the handler is a HttpServerFileUpload instance.

server.requestHandler(request -> {
  request.setExpectMultipart(true);
  request.uploadHandler(upload -> {
    System.out.println("Got a file upload " + upload.name());
  });
});

File uploads can be large we don’t provide the entire upload in a single buffer as that might result in memory exhaustion, instead, the upload data is received in chunks:

request.uploadHandler(upload -> {
  upload.handler(chunk -> {
    System.out.println("Received a chunk of the upload of length " + chunk.length());
  });
});

The upload object is a ReadStream so you can pipe the request body to any WriteStream instance. See the chapter on streams for a detailed explanation.

If you just want to upload the file to disk somewhere you can use streamToFileSystem:

request.uploadHandler(upload -> {
  upload.streamToFileSystem("myuploads_directory/" + upload.filename());
});

Make sure you check the filename in a production system to avoid malicious clients uploading files to arbitrary places on your filesystem. See security notes for more information.

Handling cookies

You use getCookie to retrieve a cookie by name, or use cookieMap to retrieve all the cookies.

To remove a cookie, use removeCookie.

To add a cookie use addCookie.

The set of cookies will be written back in the response automatically when the response headers are written so the browser can store them.

Cookies are described by instances of Cookie. This allows you to retrieve the name, value, domain, path and other normal cookie properties.

Same Site Cookies let servers require that a cookie shouldn’t be sent with cross-site (where Site is defined by the registrable domain) requests, which provides some protection against cross-site request forgery attacks. This kind of cookies are enabled using the setter: setSameSite.

Same site cookies can have one of 3 values:

None - The browser will send cookies with both cross-site requests and same-site requests.
Strict - The browser will only send cookies for same-site requests (requests originating from the site that set the cookie). If the request originated from a different URL than the URL of the current location, none of the cookies tagged with the Strict attribute will be included.
Lax - Same-site cookies are withheld on cross-site subrequests, such as calls to load images or frames, but will be sent when a user navigates to the URL from an external site; for example, by following a link.

Here’s an example of querying and adding cookies:

Cookie someCookie = request.getCookie("mycookie");
String cookieValue = someCookie.getValue();

// Do something with cookie...

// Add a cookie - this will get written back in the response automatically
request.response().addCookie(Cookie.cookie("othercookie", "somevalue"));

Handling compressed body

Vert.x can handle compressed body payloads which are encoded by the client with the deflate, gzip or brotli algorithms.

To enable decompression set setDecompressionSupported on the options when creating the server.

You need to have Brotli4j on the classpath to decompress Brotli:

Maven (in your pom.xml):

<dependency>
 <groupId>com.aayushatharva.brotli4j</groupId>
 <artifactId>brotli4j</artifactId>
 <version>${brotli4j.version}</version>
</dependency>

Gradle (in your build.gradle file):

dependencies {
 implementation 'com.aayushatharva.brotli4j:brotli4j:${brotli4j.version}'
 runtimeOnly 'com.aayushatharva.brotli4j:native-$system-and-arch:${brotli4j.version}'
}

When using Gradle, you need to add the runtime native library manually depending on your OS and architecture. See the Gradle section of Brotli4j for more details.

By default, decompression is disabled.

Receiving custom HTTP/2 frames

HTTP/2 is a framed protocol with various frames for the HTTP request/response model. The protocol allows other kind of frames to be sent and received.

To receive custom frames, you can use the customFrameHandler on the request, this will get called every time a custom frame arrives. Here’s an example:

request.customFrameHandler(frame -> {

  System.out.println("Received a frame type=" + frame.type() +
      " payload" + frame.payload().toString());
});

HTTP/2 frames are not subject to flow control - the frame handler will be called immediately when a custom frame is received whether the request is paused or is not

Sending back responses

The server response object is an instance of HttpServerResponse and is obtained from the request with response.

You use the response object to write a response back to the HTTP client.

Setting status code and message

The default HTTP status code for a response is 200, representing OK.

Use setStatusCode to set a different code.

You can also specify a custom status message with setStatusMessage.

If you don’t specify a status message, the default one corresponding to the status code will be used.

for HTTP/2 the status won’t be present in the response since the protocol won’t transmit the message to the client

Writing HTTP responses

To write data to an HTTP response, you use one of the write operations.

These can be invoked multiple times before the response is ended. They can be invoked in a few ways:

With a single buffer:

HttpServerResponse response = request.response();
response.write(buffer);

With a string. In this case the string will encoded using UTF-8 and the result written to the wire.

HttpServerResponse response = request.response();
response.write("hello world!");

With a string and an encoding. In this case the string will encoded using the specified encoding and the result written to the wire.

HttpServerResponse response = request.response();
response.write("hello world!", "UTF-16");

Writing to a response is asynchronous and always returns immediately after write has been queued.

If you are just writing a single string or buffer to the HTTP response you can write it and end the response in a single call to the end

The first call to write results in the response header being written to the response. Consequently, if you are not using HTTP chunking then you must set the Content-Length header before writing to the response, since it will be too late otherwise. If you are using HTTP chunking you do not have to worry.

Ending HTTP responses

Once you have finished with the HTTP response you should end it.

This can be done in several ways:

With no arguments, the response is simply ended.

HttpServerResponse response = request.response();
response.write("hello world!");
response.end();

It can also be called with a string or buffer in the same way write is called. In this case it’s just the same as calling write with a string or buffer followed by calling end with no arguments. For example:

HttpServerResponse response = request.response();
response.end("hello world!");

Closing the underlying connection

You can close the underlying TCP connection with close.

Non keep-alive connections will be automatically closed by Vert.x when the response is ended.

Keep-alive connections are not automatically closed by Vert.x by default. If you want keep-alive connections to be closed after an idle time, then you configure setIdleTimeout.

HTTP/2 connections send a {@literal GOAWAY} frame before closing the response.

Setting response headers

HTTP response headers can be added to the response by adding them directly to the headers:

HttpServerResponse response = request.response();
MultiMap headers = response.headers();
headers.set("content-type", "text/html");
headers.set("other-header", "wibble");

Or you can use putHeader

HttpServerResponse response = request.response();
response.putHeader("content-type", "text/html").putHeader("other-header", "wibble");

Headers must all be added before any parts of the response body are written.

Chunked HTTP responses and trailers

Vert.x supports HTTP Chunked Transfer Encoding.

This allows the HTTP response body to be written in chunks, and is normally used when a large response body is being streamed to a client and the total size is not known in advance.

You put the HTTP response into chunked mode as follows:

HttpServerResponse response = request.response();
response.setChunked(true);

Default is non-chunked. When in chunked mode, each call to one of the write methods will result in a new HTTP chunk being written out.

When in chunked mode you can also write HTTP response trailers to the response. These are actually written in the final chunk of the response.

chunked response has no effect for an HTTP/2 stream

To add trailers to the response, add them directly to the trailers.

HttpServerResponse response = request.response();
response.setChunked(true);
MultiMap trailers = response.trailers();
trailers.set("X-wibble", "woobble").set("X-quux", "flooble");

Or use putTrailer.

HttpServerResponse response = request.response();
response.setChunked(true);
response.putTrailer("X-wibble", "woobble").putTrailer("X-quux", "flooble");

Serving files directly from disk or the classpath

If you were writing a web server, one way to serve a file from disk would be to open it as an AsyncFile and pipe it to the HTTP response.

Or you could load it it one go using readFile and write it straight to the response.

Alternatively, Vert.x provides a method which allows you to serve a file from disk or the filesystem to an HTTP response in one operation. Where supported by the underlying operating system this may result in the OS directly transferring bytes from the file to the socket without being copied through user-space at all.

This is done by using sendFile, and is usually more efficient for large files, but may be slower for small files.

Here’s a very simple web server that serves files from the file system using sendFile:

vertx.createHttpServer().requestHandler(request -> {
  String file = "";
  if (request.path().equals("/")) {
    file = "index.html";
  } else if (!request.path().contains("..")) {
    file = request.path();
  }
  request.response().sendFile("web/" + file);
}).listen(8080);

Sending a file is asynchronous and may not complete until some time after the call has returned. If you want to be notified when the file has been written you can use sendFile

Please see the chapter about serving files from the classpath for restrictions about the classpath resolution or disabling it.

If you use sendFile while using HTTPS it will copy through user-space, since if the kernel is copying data directly from disk to socket it doesn’t give us an opportunity to apply any encryption.

If you’re going to write web servers directly using Vert.x be careful that users cannot exploit the path to access files outside the directory from which you want to serve them or the classpath It may be safer instead to use Vert.x Web.

When there is a need to serve just a segment of a file, say starting from a given byte, you can achieve this by doing:

vertx.createHttpServer().requestHandler(request -> {
  long offset = 0;
  try {
    offset = Long.parseLong(request.getParam("start"));
  } catch (NumberFormatException e) {
    // error handling...
  }

  long end = Long.MAX_VALUE;
  try {
    end = Long.parseLong(request.getParam("end"));
  } catch (NumberFormatException e) {
    // error handling...
  }

  request.response().sendFile("web/mybigfile.txt", offset, end);
}).listen(8080);

You are not required to supply the length if you want to send a file starting from an offset until the end, in this case you can just do:

vertx.createHttpServer().requestHandler(request -> {
  long offset = 0;
  try {
    offset = Long.parseLong(request.getParam("start"));
  } catch (NumberFormatException e) {
    // error handling...
  }

  request.response().sendFile("web/mybigfile.txt", offset);
}).listen(8080);

Piping responses

The server response is a WriteStream so you can pipe to it from any ReadStream, e.g. AsyncFile, NetSocket, WebSocket or HttpServerRequest.

Here’s an example which echoes the request body back in the response for any PUT methods. It uses a pipe for the body, so it will work even if the HTTP request body is much larger than can fit in memory at any one time:

vertx.createHttpServer().requestHandler(request -> {
  HttpServerResponse response = request.response();
  if (request.method() == HttpMethod.PUT) {
    response.setChunked(true);
    request.pipeTo(response);
  } else {
    response.setStatusCode(400).end();
  }
}).listen(8080);

You can also use the send method to send a ReadStream.

Sending a stream is a pipe operation, however as this is a method of HttpServerResponse, it will also take care of chunking the response when the content-length is not set.

vertx.createHttpServer().requestHandler(request -> {
  HttpServerResponse response = request.response();
  if (request.method() == HttpMethod.PUT) {
    response.send(request);
  } else {
    response.setStatusCode(400).end();
  }
}).listen(8080);

Writing HTTP/2 frames

HTTP/2 is a framed protocol with various frames for the HTTP request/response model. The protocol allows other kind of frames to be sent and received.

To send such frames, you can use the writeCustomFrame on the response. Here’s an example:

int frameType = 40;
int frameStatus = 10;
Buffer payload = Buffer.buffer("some data");

// Sending a frame to the client
response.writeCustomFrame(frameType, frameStatus, payload);

These frames are sent immediately and are not subject to flow control - when such frame is sent there it may be done before other {@literal DATA} frames.

Stream reset

HTTP/1.x does not allow a clean reset of a request or a response stream, for example when a client uploads a resource already present on the server, the server needs to accept the entire response.

HTTP/2 supports stream reset at any time during the request/response:

request.response().reset();

By default, the NO_ERROR (0) error code is sent, another code can sent instead:

request.response().reset(8);

The HTTP/2 specification defines the list of error codes one can use.

The request handler are notified of stream reset events with the request handler and response handler:

request.response().exceptionHandler(err -> {
  if (err instanceof StreamResetException) {
    StreamResetException reset = (StreamResetException) err;
    System.out.println("Stream reset " + reset.getCode());
  }
});

Server push

Server push is a new feature of HTTP/2 that enables sending multiple responses in parallel for a single client request.

When a server process a request, it can push a request/response to the client:

HttpServerResponse response = request.response();

// Push main.js to the client
response
  .push(HttpMethod.GET, "/main.js")
  .onComplete(ar -> {

    if (ar.succeeded()) {

      // The server is ready to push the response
      HttpServerResponse pushedResponse = ar.result();

      // Send main.js response
      pushedResponse.
        putHeader("content-type", "application/json").
        end("alert(\"Push response hello\")");
    } else {
      System.out.println("Could not push client resource " + ar.cause());
    }
  });

// Send the requested resource
response.sendFile("<html><head><script src=\"/main.js\"></script></head><body></body></html>");

When the server is ready to push the response, the push response handler is called and the handler can send the response.

The push response handler may receive a failure, for instance the client may cancel the push because it already has main.js in its cache and does not want it anymore.

The push method must be called before the initiating response ends, however the pushed response can be written after.

Handling exceptions

You can set an exceptionHandler to receive any exceptions that happens before the connection is passed to the requestHandler or to the webSocketHandler, e.g. during the TLS handshake.

Handling invalid requests

Vert.x will handle invalid HTTP requests and provides a default handler that will handle the common case appropriately, e.g. it does respond with REQUEST_HEADER_FIELDS_TOO_LARGE when a request header is too long.

You can set your own invalidRequestHandler to process invalid requests. Your implementation can handle specific cases and delegate other cases to to HttpServerRequest.DEFAULT_INVALID_REQUEST_HANDLER.

HTTP Compression

Vert.x comes with support for HTTP Compression out of the box.

This means you are able to automatically compress the body of the responses before they are sent back to the client.

If the client does not support HTTP compression the responses are sent back without compressing the body.

This allows to handle Client that support HTTP Compression and those that not support it at the same time.

To enable compression use can configure it with setCompressionSupported.

By default, compression is not enabled.

When HTTP compression is enabled the server will check if the client includes an Accept-Encoding header which includes the supported compressions. Commonly used are deflate and gzip. Both are supported by Vert.x.

If such a header is found the server will automatically compress the body of the response with one of the supported compressions and send it back to the client.

Whenever the response needs to be sent without compression you can set the header content-encoding to identity:

request.response()
  .putHeader(HttpHeaders.CONTENT_ENCODING, HttpHeaders.IDENTITY)
  .sendFile("/path/to/image.jpg");

Be aware that compression may be able to reduce network traffic but is more CPU-intensive.

To address this latter issue Vert.x allows you to tune the 'compression level' parameter that is native of the gzip/deflate compression algorithms.

Compression level allows to configure gizp/deflate algorithms in terms of the compression ratio of the resulting data and the computational cost of the compress/decompress operation.

The compression level is an integer value ranged from '1' to '9', where '1' means lower compression ratio but fastest algorithm and '9' means maximum compression ratio available but a slower algorithm.

Using compression levels higher that 1-2 usually allows to save just some bytes in size - the gain is not linear, and depends on the specific data to be compressed - but it comports a non-trascurable cost in term of CPU cycles required to the server while generating the compressed response data ( Note that at moment Vert.x doesn’t support any form caching of compressed response data, even for static files, so the compression is done on-the-fly at every request body generation ) and in the same way it affects client(s) while decoding (inflating) received responses, operation that becomes more CPU-intensive the more the level increases.

By default - if compression is enabled via setCompressionSupported - Vert.x will use '6' as compression level, but the parameter can be configured to address any case with setCompressionLevel.

HTTP compression algorithms

Vert.x supports out of the box deflate and gzip.

Brotli and zstandard can also be used.

new HttpServerOptions()
  .addCompressor(io.netty.handler.codec.compression.StandardCompressionOptions.gzip())
  .addCompressor(io.netty.handler.codec.compression.StandardCompressionOptions.deflate())
  .addCompressor(io.netty.handler.codec.compression.StandardCompressionOptions.brotli())
  .addCompressor(io.netty.handler.codec.compression.StandardCompressionOptions.zstd());

use StandardCompressionOptions static methods to create CompressionOptions

Brotli and zstandard libraries need to be added to the classpath.

Maven (in your pom.xml):

<dependency>
 <groupId>com.aayushatharva.brotli4j</groupId>
 <artifactId>brotli4j</artifactId>
 <version>${brotli4j.version}</version>
</dependency>
<dependency>
 <groupId>com.github.luben</groupId>
 <artifactId>zstd-jni</artifactId>
 <version>${zstd-jini.version}</version>
</dependency>

Gradle (in your build.gradle file):

dependencies {
 implementation 'com.aayushatharva.brotli4j:brotli4j:${brotli4j.version}'
 runtimeOnly 'com.aayushatharva.brotli4j:native-$system-and-arch:${brotli4j.version}'
 implementation 'com.github.luben:zstd-jni:${zstd-jini.version}'
}

When using Gradle, you need to add the runtime native library manually depending on your OS and architecture. See the Gradle section of Brotli4j for more details.

You can configure compressors according to your needs

GzipOptions gzip = StandardCompressionOptions.gzip(6, 15, 8);

Creating an HTTP client

You create an HttpClient instance with default options as follows:

HttpClient client = vertx.createHttpClient();

If you want to configure options for the client, you create it as follows:

HttpClientOptions options = new HttpClientOptions().setKeepAlive(false);
HttpClient client = vertx.createHttpClient(options);

Vert.x supports HTTP/2 over TLS h2 and over TCP h2c.

By default, the http client performs HTTP/1.1 requests, to perform HTTP/2 requests the setProtocolVersion must be set to HTTP_2.

For h2 requests, TLS must be enabled with Application-Layer Protocol Negotiation:

HttpClientOptions options = new HttpClientOptions().
    setProtocolVersion(HttpVersion.HTTP_2).
    setSsl(true).
    setUseAlpn(true).
    setTrustAll(true);

HttpClient client = vertx.createHttpClient(options);

For h2c requests, TLS must be disabled, the client will do an HTTP/1.1 requests and try an upgrade to HTTP/2:

HttpClientOptions options = new HttpClientOptions().setProtocolVersion(HttpVersion.HTTP_2);

HttpClient client = vertx.createHttpClient(options);

h2c connections can also be established directly, i.e. connection started with a prior knowledge, when setHttp2ClearTextUpgrade options is set to false: after the connection is established, the client will send the HTTP/2 connection preface and expect to receive the same preface from the server.

The http server may not support HTTP/2, the actual version can be checked with version when the response arrives.

When a clients connects to an HTTP/2 server, it sends to the server its initial settings. The settings define how the server can use the connection, the default initial settings for a client are the default values defined by the HTTP/2 RFC.

Logging network client activity

For debugging purposes, network activity can be logged.

HttpClientOptions options = new HttpClientOptions().setLogActivity(true);
HttpClient client = vertx.createHttpClient(options);

See the chapter on logging network activity for a detailed explanation.

Making requests

The http client is very flexible and there are various ways you can make requests with it.

The first step when making a request is obtaining an HTTP connection to the remote server:

client
  .request(HttpMethod.GET, 8080, "myserver.mycompany.com", "/some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      // Connected to the server
    }
  });

The client will connect to the remote server or reuse an available connection from the client connection pool.

Default host and port

Often you want to make many requests to the same host/port with an http client. To avoid you repeating the host/port every time you make a request you can configure the client with a default host/port:

HttpClientOptions options = new HttpClientOptions().setDefaultHost("wibble.com");

// Can also set default port if you want...
HttpClient client = vertx.createHttpClient(options);
client
  .request(HttpMethod.GET, "/some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      HttpClientRequest request = ar1.result();
      request
        .send()
        .onComplete(ar2 -> {
          if (ar2.succeeded()) {
            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          }
        });
    }
  });

Writing request headers

You can write headers to a request using the HttpHeaders as follows:

HttpClient client = vertx.createHttpClient();

// Write some headers using the headers multi-map
MultiMap headers = HttpHeaders.set("content-type", "application/json").set("other-header", "foo");

client
  .request(HttpMethod.GET, "some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      if (ar1.succeeded()) {
        HttpClientRequest request = ar1.result();
        request.headers().addAll(headers);
        request
          .send()
          .onComplete(ar2 -> {
            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          });
      }
    }
  });

The headers are an instance of MultiMap which provides operations for adding, setting and removing entries. Http headers allow more than one value for a specific key.

You can also write headers using putHeader

request.putHeader("content-type", "application/json")
       .putHeader("other-header", "foo");

If you wish to write headers to the request you must do so before any part of the request body is written.

Writing request and processing response

The HttpClientRequest request methods connects to the remote server or reuse an existing connection. The request instance obtained is pre-populated with some data such like the host or the request URI, but you need to send this request to the server.

You can call send to send a request such as an HTTP GET and process the asynchronous HttpClientResponse.

client
  .request(HttpMethod.GET, 8080, "myserver.mycompany.com", "/some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      HttpClientRequest request = ar1.result();

      // Send the request and process the response
      request
        .send()
        .onComplete(ar -> {
          if (ar.succeeded()) {
            HttpClientResponse response = ar.result();
            System.out.println("Received response with status code " + response.statusCode());
          } else {
            System.out.println("Something went wrong " + ar.cause().getMessage());
          }
        });
    }
  });

You can also send the request with a body.

send with a string, the Content-Length header will be set for you if it was not previously set.

client
  .request(HttpMethod.GET, 8080, "myserver.mycompany.com", "/some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      HttpClientRequest request = ar1.result();

      // Send the request and process the response
      request
        .send("Hello World")
        .onComplete(ar -> {
          if (ar.succeeded()) {
            HttpClientResponse response = ar.result();
            System.out.println("Received response with status code " + response.statusCode());
          } else {
            System.out.println("Something went wrong " + ar.cause().getMessage());
          }
        });
    }
  });

send with a buffer, the Content-Length header will be set for you if it was not previously set.

request
  .send(Buffer.buffer("Hello World"))
  .onComplete(ar -> {
    if (ar.succeeded()) {
      HttpClientResponse response = ar.result();
      System.out.println("Received response with status code " + response.statusCode());
    } else {
      System.out.println("Something went wrong " + ar.cause().getMessage());
    }
  });

send with a stream, if the Content-Length header was not previously set, the request is sent with a chunked Content-Encoding.

request
  .putHeader(HttpHeaders.CONTENT_LENGTH, "1000")
  .send(stream)
  .onComplete(ar -> {
    if (ar.succeeded()) {
      HttpClientResponse response = ar.result();
      System.out.println("Received response with status code " + response.statusCode());
    } else {
      System.out.println("Something went wrong " + ar.cause().getMessage());
    }
  });

Streaming Request body

The send method send requests at once.

Sometimes you’ll want to have low level control on how you write requests bodies.

The HttpClientRequest can be used to write the request body.

Here are some examples of writing a POST request with a body:

HttpClient client = vertx.createHttpClient();

client.request(HttpMethod.POST, "some-uri")
  .onSuccess(request -> {
    request.response().onSuccess(response -> {
      System.out.println("Received response with status code " + response.statusCode());
    });

    // Now do stuff with the request
    request.putHeader("content-length", "1000");
    request.putHeader("content-type", "text/plain");
    request.write(body);

    // Make sure the request is ended when you're done with it
    request.end();
});

Methods exist to write strings in UTF-8 encoding and in any specific encoding and to write buffers:

request.write("some data");

// Write string encoded in specific encoding
request.write("some other data", "UTF-16");

// Write a buffer
Buffer buffer = Buffer.buffer();
buffer.appendInt(123).appendLong(245l);
request.write(buffer);

If you are just writing a single string or buffer to the HTTP request you can write it and end the request in a single call to the end function.

request.end("some simple data");

// Write buffer and end the request (send it) in a single call
Buffer buffer = Buffer.buffer().appendDouble(12.34d).appendLong(432l);
request.end(buffer);

When you’re writing to a request, the first call to write will result in the request headers being written out to the wire.

The actual write is asynchronous and might not occur until some time after the call has returned.

Non-chunked HTTP requests with a request body require a Content-Length header to be provided.

Consequently, if you are not using chunked HTTP then you must set the Content-Length header before writing to the request, as it will be too late otherwise.

If you are calling one of the end methods that take a string or buffer then Vert.x will automatically calculate and set the Content-Length header before writing the request body.

If you are using HTTP chunking a Content-Length header is not required, so you do not have to calculate the size up-front.

Ending streamed HTTP requests

Once you have finished with the HTTP request you must end it with one of the end operations.

Ending a request causes any headers to be written, if they have not already been written and the request to be marked as complete.

Requests can be ended in several ways. With no arguments the request is simply ended:

request.end();

Or a string or buffer can be provided in the call to end. This is like calling write with the string or buffer before calling end with no arguments

request.end("some-data");

// End it with a buffer
Buffer buffer = Buffer.buffer().appendFloat(12.3f).appendInt(321);
request.end(buffer);

Using the request as a stream

An HttpClientRequest instance is also a WriteStream instance.

You can pipe to it from any ReadStream instance.

For, example, you could pipe a file on disk to a http request body as follows:

request.setChunked(true);
file.pipeTo(request);

Chunked HTTP requests

Vert.x supports HTTP Chunked Transfer Encoding for requests.

This allows the HTTP request body to be written in chunks, and is normally used when a large request body is being streamed to the server, whose size is not known in advance.

You put the HTTP request into chunked mode using setChunked.

In chunked mode each call to write will cause a new chunk to be written to the wire. In chunked mode there is no need to set the Content-Length of the request up-front.

request.setChunked(true);

// Write some chunks
for (int i = 0; i < 10; i++) {
  request.write("this-is-chunk-" + i);
}

request.end();

Request timeouts

You can set a timeout for a specific http request using setTimeout or setTimeout.

If the request does not return any data within the timeout period an exception will be passed to the exception handler (if provided) and the request will be closed.

Writing HTTP/2 frames

HTTP/2 is a framed protocol with various frames for the HTTP request/response model. The protocol allows other kind of frames to be sent and received.

To send such frames, you can use the write on the request. Here’s an example:

int frameType = 40;
int frameStatus = 10;
Buffer payload = Buffer.buffer("some data");

// Sending a frame to the server
request.writeCustomFrame(frameType, frameStatus, payload);

Stream reset

HTTP/1.x does not allow a clean reset of a request or a response stream, for example when a client uploads a resource already present on the server, the server needs to accept the entire response.

HTTP/2 supports stream reset at any time during the request/response:

request.reset();

By default the NO_ERROR (0) error code is sent, another code can sent instead:

request.reset(8);

The HTTP/2 specification defines the list of error codes one can use.

The request handler are notified of stream reset events with the request handler and response handler:

request.exceptionHandler(err -> {
  if (err instanceof StreamResetException) {
    StreamResetException reset = (StreamResetException) err;
    System.out.println("Stream reset " + reset.getCode());
  }
});

Handling HTTP responses

You receive an instance of HttpClientResponse into the handler that you specify in of the request methods or by setting a handler directly on the HttpClientRequest object.

You can query the status code and the status message of the response with statusCode and statusMessage.

request
  .send()
  .onComplete(ar2 -> {
    if (ar2.succeeded()) {

      HttpClientResponse response = ar2.result();

      // the status code - e.g. 200 or 404
      System.out.println("Status code is " + response.statusCode());

      // the status message e.g. "OK" or "Not Found".
      System.out.println("Status message is " + response.statusMessage());
    }
  });

Using the response as a stream

The HttpClientResponse instance is also a ReadStream which means you can pipe it to any WriteStream instance.

Response headers and trailers

Http responses can contain headers. Use headers to get the headers.

The object returned is a MultiMap as HTTP headers can contain multiple values for single keys.

String contentType = response.headers().get("content-type");
String contentLength = response.headers().get("content-lengh");

Chunked HTTP responses can also contain trailers - these are sent in the last chunk of the response body.

You use trailers to get the trailers. Trailers are also a MultiMap.

Reading the request body

The response handler is called when the headers of the response have been read from the wire.

If the response has a body this might arrive in several pieces some time after the headers have been read. We don’t wait for all the body to arrive before calling the response handler as the response could be very large and we might be waiting a long time, or run out of memory for large responses.

As parts of the response body arrive, the handler is called with a Buffer representing the piece of the body:

client
  .request(HttpMethod.GET, "some-uri")
  .onComplete(ar1 -> {

    if (ar1.succeeded()) {
      HttpClientRequest request = ar1.result();
      request
        .send()
        .onComplete(ar2 -> {
          HttpClientResponse response = ar2.result();
          response.handler(buffer -> {
            System.out.println("Received a part of the response body: " + buffer);
          });
        });
    }
  });

If you know the response body is not very large and want to aggregate it all in memory before handling it, you can either aggregate it yourself:

request
  .send()
  .onComplete(ar2 -> {

    if (ar2.succeeded()) {

      HttpClientResponse response = ar2.result();

      // Create an empty buffer
      Buffer totalBuffer = Buffer.buffer();

      response.handler(buffer -> {
        System.out.println("Received a part of the response body: " + buffer.length());

        totalBuffer.appendBuffer(buffer);
      });

      response.endHandler(v -> {
        // Now all the body has been read
        System.out.println("Total response body length is " + totalBuffer.length());
      });
    }
  });

Or you can use the convenience body which is called with the entire body when the response has been fully read:

request
  .send()
  .onComplete(ar1 -> {

    if (ar1.succeeded()) {
      HttpClientResponse response = ar1.result();
      response
        .body()
        .onComplete(ar2 -> {

          if (ar2.succeeded()) {
            Buffer body = ar2.result();
            // Now all the body has been read
            System.out.println("Total response body length is " + body.length());
          }
        });
    }
  });

Response end handler

The response endHandler is called when the entire response body has been read or immediately after the headers have been read and the response handler has been called if there is no body.

Request and response composition

The client interface is very simple and follows this pattern:

request a connection
send or write/end the request to the server
handle the beginning of the HttpClientResponse
process the response events

You can use Vert.x future composition methods to make your code simpler, however the API is event driven and you need to understand it otherwise you might experience possible data races (i.e loosing events leading to corrupted data).

Vert.x Web Client is a higher level API alternative (in fact it is built on top of this client) you might consider if this client is too low level for your use cases

The client API intentionally does not return a Future<HttpClientResponse> because setting a completion handler on the future can be racy when this is set outside of the event-loop.

Future<HttpClientResponse> get = client.get("some-uri");

// Assuming we have a client that returns a future response
// assuging this is *not* on the event-loop
// introduce a potential data race for the sake of this example
Thread.sleep(100);

get.onSuccess(response -> {

  // Response events might have happen already
  response
    .body()
    .onComplete(ar -> {

    });
});

Confining the HttpClientRequest usage within a verticle is the easiest solution as the Verticle will ensure that events are processed sequentially avoiding races.

vertx.deployVerticle(() -> new AbstractVerticle() {
 @Override
 public void start() {

   HttpClient client = vertx.createHttpClient();

   Future<HttpClientRequest> future = client.request(HttpMethod.GET, "some-uri");
 }
}, new DeploymentOptions());

When you are interacting with the client possibly outside a verticle then you can safely perform composition as long as you do not delay the response events, e.g processing directly the response on the event-loop.

Future<JsonObject> future = client
  .request(HttpMethod.GET, "some-uri")
  .compose(request -> request
    .send()
    .compose(response -> {
      // Process the response on the event-loop which guarantees no races
      if (response.statusCode() == 200 &&
          response.getHeader(HttpHeaders.CONTENT_TYPE).equals("application/json")) {
        return response
          .body()
          .map(buffer -> buffer.toJsonObject());
      } else {
        return Future.failedFuture("Incorrect HTTP response");
      }
    }));

// Listen to the composed final json result
future.onSuccess(json -> {
  System.out.println("Received json result " + json);
}).onFailure(err -> {
  System.out.println("Something went wrong " + err.getMessage());
});

If you need to delay the response processing then you need to pause the response or use a pipe, this might be necessary when another asynchronous operation is involved.

Future<Void> future = client
  .request(HttpMethod.GET, "some-uri")
  .compose(request -> request
    .send()
    .compose(response -> {
      // Process the response on the event-loop which guarantees no races
      if (response.statusCode() == 200) {

        // Create a pipe, this pauses the response
        Pipe<Buffer> pipe = response.pipe();

        // Write the file on the disk
        return fileSystem
          .open("/some/large/file", new OpenOptions().setWrite(true))
          .onFailure(err -> pipe.close())
          .compose(file -> pipe.to(file));
      } else {
        return Future.failedFuture("Incorrect HTTP response");
      }
    }));

Reading cookies from the response

You can retrieve the list of cookies from a response using cookies.

Alternatively you can just parse the Set-Cookie headers yourself in the response.

30x redirection handling

The client can be configured to follow HTTP redirections provided by the Location response header when the client receives:

a 301, 302, 307 or 308 status code along with a HTTP GET or HEAD method
a 303 status code, in addition the directed request perform an HTTP GET method

Here’s an example:

client
  .request(HttpMethod.GET, "some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {

      HttpClientRequest request = ar1.result();
      request.setFollowRedirects(true);
      request
        .send()
        .onComplete(ar2 -> {
          if (ar2.succeeded()) {

            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          }
        });
    }
  });

The maximum redirects is 16 by default and can be changed with setMaxRedirects.

HttpClient client = vertx.createHttpClient(
    new HttpClientOptions()
        .setMaxRedirects(32));

client
  .request(HttpMethod.GET, "some-uri")
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {

      HttpClientRequest request = ar1.result();
      request.setFollowRedirects(true);
      request
        .send()
        .onComplete(ar2 -> {
          if (ar2.succeeded()) {

            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          }
        });
    }
  });

One size does not fit all and the default redirection policy may not be adapted to your needs.

The default redirection policy can changed with a custom implementation:

client.redirectHandler(response -> {

  // Only follow 301 code
  if (response.statusCode() == 301 && response.getHeader("Location") != null) {

    // Compute the redirect URI
    String absoluteURI = resolveURI(response.request().absoluteURI(), response.getHeader("Location"));

    // Create a new ready to use request that the client will use
    return Future.succeededFuture(new RequestOptions().setAbsoluteURI(absoluteURI));
  }

  // We don't redirect
  return null;
});

The policy handles the original HttpClientResponse received and returns either null or a Future<HttpClientRequest>.

when null is returned, the original response is processed
when a future is returned, the request will be sent on its successful completion
when a future is returned, the exception handler set on the request is called on its failure

The returned request must be unsent so the original request handlers can be sent and the client can send it after.

Most of the original request settings will be propagated to the new request:

request headers, unless if you have set some headers
request body unless the returned request uses a GET method
response handler
request exception handler
request timeout

100-Continue handling

According to the HTTP 1.1 specification a client can set a header Expect: 100-Continue and send the request header before sending the rest of the request body.

The server can then respond with an interim response status Status: 100 (Continue) to signify to the client that it is ok to send the rest of the body.

The idea here is it allows the server to authorise and accept/reject the request before large amounts of data are sent. Sending large amounts of data if the request might not be accepted is a waste of bandwidth and ties up the server in reading data that it will just discard.

Vert.x allows you to set a continueHandler on the client request object

This will be called if the server sends back a Status: 100 (Continue) response to signify that it is ok to send the rest of the request.

This is used in conjunction with `sendHead`to send the head of the request.

Here’s an example:

client.request(HttpMethod.PUT, "some-uri")
  .onSuccess(request -> {
    request.response().onSuccess(response -> {
      System.out.println("Received response with status code " + response.statusCode());
    });

    request.putHeader("Expect", "100-Continue");

    request.continueHandler(v -> {
      // OK to send rest of body
      request.write("Some data");
      request.write("Some more data");
      request.end();
    });

    request.sendHead();
});

On the server side a Vert.x http server can be configured to automatically send back 100 Continue interim responses when it receives an Expect: 100-Continue header.

This is done by setting the option setHandle100ContinueAutomatically.

If you’d prefer to decide whether to send back continue responses manually, then this property should be set to false (the default), then you can inspect the headers and call writeContinue to have the client continue sending the body:

httpServer.requestHandler(request -> {
  if (request.getHeader("Expect").equalsIgnoreCase("100-Continue")) {

    // Send a 100 continue response
    request.response().writeContinue();

    // The client should send the body when it receives the 100 response
    request.bodyHandler(body -> {
      // Do something with body
    });

    request.endHandler(v -> {
      request.response().end();
    });
  }
});

You can also reject the request by sending back a failure status code directly: in this case the body should either be ignored or the connection should be closed (100-Continue is a performance hint and cannot be a logical protocol constraint):

httpServer.requestHandler(request -> {
  if (request.getHeader("Expect").equalsIgnoreCase("100-Continue")) {

    //
    boolean rejectAndClose = true;
    if (rejectAndClose) {

      // Reject with a failure code and close the connection
      // this is probably best with persistent connection
      request.response()
          .setStatusCode(405)
          .putHeader("Connection", "close")
          .end();
    } else {

      // Reject with a failure code and ignore the body
      // this may be appropriate if the body is small
      request.response()
          .setStatusCode(405)
          .end();
    }
  }
});

Creating HTTP tunnels

HTTP tunnels can be created with connect:

client.request(HttpMethod.CONNECT, "some-uri")
  .onSuccess(request -> {

    // Connect to the server
    request
      .connect()
      .onComplete(ar -> {
        if (ar.succeeded()) {
          HttpClientResponse response = ar.result();

          if (response.statusCode() != 200) {
            // Connect failed for some reason
          } else {
            // Tunnel created, raw buffers are transmitted on the wire
            NetSocket socket = response.netSocket();
          }
        }
      });
});

The handler will be called after the HTTP response header is received, the socket will be ready for tunneling and will send and receive buffers.

connect works like send, but it reconfigures the transport to exchange raw buffers.

Client push

Server push is a new feature of HTTP/2 that enables sending multiple responses in parallel for a single client request.

A push handler can be set on a request to receive the request/response pushed by the server:

client.request(HttpMethod.GET, "/index.html")
  .onSuccess(request -> {

    request
      .response().onComplete(response -> {
        // Process index.html response
      });

    // Set a push handler to be aware of any resource pushed by the server
    request.pushHandler(pushedRequest -> {

      // A resource is pushed for this request
      System.out.println("Server pushed " + pushedRequest.path());

      // Set an handler for the response
      pushedRequest.response().onComplete(pushedResponse -> {
        System.out.println("The response for the pushed request");
      });
    });

    // End the request
    request.end();
});

If the client does not want to receive a pushed request, it can reset the stream:

request.pushHandler(pushedRequest -> {
  if (pushedRequest.path().equals("/main.js")) {
    pushedRequest.reset();
  } else {
    // Handle it
  }
});

When no handler is set, any stream pushed will be automatically cancelled by the client with a stream reset (8 error code).

Receiving custom HTTP/2 frames

HTTP/2 is a framed protocol with various frames for the HTTP request/response model. The protocol allows other kind of frames to be sent and received.

To receive custom frames, you can use the customFrameHandler on the request, this will get called every time a custom frame arrives. Here’s an example:

response.customFrameHandler(frame -> {

  System.out.println("Received a frame type=" + frame.type() +
      " payload" + frame.payload().toString());
});

Enabling compression on the client

The http client comes with support for HTTP Compression out of the box.

This means the client can let the remote http server know that it supports compression, and will be able to handle compressed response bodies.

An http server is free to either compress with one of the supported compression algorithms or to send the body back without compressing it at all. So this is only a hint for the Http server which it may ignore at will.

To tell the http server which compression is supported by the client it will include an Accept-Encoding header with the supported compression algorithm as value. Multiple compression algorithms are supported. In case of Vert.x this will result in the following header added:

Accept-Encoding: gzip, deflate

The server will choose then from one of these. You can detect if a server compressed the body by checking for the Content-Encoding header in the response sent back from it.

If the body of the response was compressed via gzip it will include for example the following header:

Content-Encoding: gzip

To enable compression set setTryUseCompression on the options used when creating the client.

By default compression is disabled.

HTTP/1.x pooling and keep alive

Http keep alive allows http connections to be used for more than one request. This can be a more efficient use of connections when you’re making multiple requests to the same server.

For HTTP/1.x versions, the http client supports pooling of connections, allowing you to reuse connections between requests.

For pooling to work, keep alive must be true using setKeepAlive on the options used when configuring the client. The default value is true.

When keep alive is enabled. Vert.x will add a Connection: Keep-Alive header to each HTTP/1.0 request sent. When keep alive is disabled. Vert.x will add a Connection: Close header to each HTTP/1.1 request sent to signal that the connection will be closed after completion of the response.

The maximum number of connections to pool for each server is configured using setMaxPoolSize

When making a request with pooling enabled, Vert.x will create a new connection if there are less than the maximum number of connections already created for that server, otherwise it will add the request to a queue.

Keep alive connections will be closed by the client automatically after a timeout. The timeout can be specified by the server using the keep-alive header:

keep-alive: timeout=30

You can set the default timeout using setKeepAliveTimeout - any connections not used within this timeout will be closed. Please note the timeout value is in seconds not milliseconds.

HTTP/1.1 pipe-lining

The client also supports pipe-lining of requests on a connection.

Pipe-lining means another request is sent on the same connection before the response from the preceding one has returned. Pipe-lining is not appropriate for all requests.

To enable pipe-lining, it must be enabled using setPipelining. By default, pipe-lining is disabled.

When pipe-lining is enabled requests will be written to connections without waiting for previous responses to return.

The number of pipe-lined requests over a single connection is limited by setPipeliningLimit. This option defines the maximum number of http requests sent to the server awaiting for a response. This limit ensures the fairness of the distribution of the client requests over the connections to the same server.

HTTP/2 multiplexing

HTTP/2 advocates to use a single connection to a server, by default the http client uses a single connection for each server, all the streams to the same server are multiplexed over the same connection.

When the clients needs to use more than a single connection and use pooling, the setHttp2MaxPoolSize shall be used.

When it is desirable to limit the number of multiplexed streams per connection and use a connection pool instead of a single connection, setHttp2MultiplexingLimit can be used.

HttpClientOptions clientOptions = new HttpClientOptions().
    setHttp2MultiplexingLimit(10).
    setHttp2MaxPoolSize(3);

// Uses up to 3 connections and up to 10 streams per connection
HttpClient client = vertx.createHttpClient(clientOptions);

The multiplexing limit for a connection is a setting set on the client that limits the number of streams of a single connection. The effective value can be even lower if the server sets a lower limit with the SETTINGS_MAX_CONCURRENT_STREAMS setting.

HTTP/2 connections will not be closed by the client automatically. To close them you can call close or close the client instance.

Alternatively you can set idle timeout using setIdleTimeout - any connections not used within this timeout will be closed. Please note the idle timeout value is in seconds not milliseconds.

HTTP connections

The HttpConnection offers the API for dealing with HTTP connection events, lifecycle and settings.

HTTP/2 implements fully the HttpConnection API.

HTTP/1.x implements partially the HttpConnection API: only the close operation, the close handler and exception handler are implemented. This protocol does not provide semantics for the other operations.

Server connections

The connection method returns the request connection on the server:

HttpConnection connection = request.connection();

A connection handler can be set on the server to be notified of any incoming connection:

HttpServer server = vertx.createHttpServer(http2Options);

server.connectionHandler(connection -> {
  System.out.println("A client connected");
});

Client connections

The connection method returns the request connection on the client:

HttpConnection connection = request.connection();

A connection handler can be set on the client to be notified when a connection has been established happens:

client.connectionHandler(connection -> {
  System.out.println("Connected to the server");
});

Connection settings

The configuration of an HTTP/2 is configured by the Http2Settings data object.

Each endpoint must respect the settings sent by the other side of the connection.

When a connection is established, the client and the server exchange initial settings. Initial settings are configured by setInitialSettings on the client and setInitialSettings on the server.

The settings can be changed at any time after the connection is established:

connection.updateSettings(new Http2Settings().setMaxConcurrentStreams(100));

As the remote side should acknowledge on reception of the settings update, it’s possible to give a callback to be notified of the acknowledgment:

connection
  .updateSettings(new Http2Settings().setMaxConcurrentStreams(100))
  .onSuccess(v -> System.out.println("The settings update has been acknowledged "));

Conversely the remoteSettingsHandler is notified when the new remote settings are received:

connection.remoteSettingsHandler(settings -> {
  System.out.println("Received new settings");
});

this only applies to the HTTP/2 protocol

Connection ping

HTTP/2 connection ping is useful for determining the connection round-trip time or check the connection validity: ping sends a {@literal PING} frame to the remote endpoint:

Buffer data = Buffer.buffer();
for (byte i = 0;i < 8;i++) {
  data.appendByte(i);
}
connection
  .ping(data)
  .onSuccess(pong -> System.out.println("Remote side replied"));

Vert.x will send automatically an acknowledgement when a {@literal PING} frame is received, an handler can be set to be notified for each ping received:

connection.pingHandler(ping -> {
  System.out.println("Got pinged by remote side");
});

The handler is just notified, the acknowledgement is sent whatsoever. Such feature is aimed for implementing protocols on top of HTTP/2.

this only applies to the HTTP/2 protocol

Connection shutdown and go away

Calling shutdown will send a {@literal GOAWAY} frame to the remote side of the connection, asking it to stop creating streams: a client will stop doing new requests and a server will stop pushing responses. After the {@literal GOAWAY} frame is sent, the connection waits some time (30 seconds by default) until all current streams closed and close the connection:

connection.shutdown();

The shutdownHandler notifies when all streams have been closed, the connection is not yet closed.

It’s possible to just send a {@literal GOAWAY} frame, the main difference with a shutdown is that it will just tell the remote side of the connection to stop creating new streams without scheduling a connection close:

connection.goAway(0);

Conversely, it is also possible to be notified when {@literal GOAWAY} are received:

connection.goAwayHandler(goAway -> {
  System.out.println("Received a go away frame");
});

The shutdownHandler will be called when all current streams have been closed and the connection can be closed:

connection.goAway(0);
connection.shutdownHandler(v -> {

  // All streams are closed, close the connection
  connection.close();
});

This applies also when a {@literal GOAWAY} is received.

this only applies to the HTTP/2 protocol

Connection close

Connection close closes the connection:

it closes the socket for HTTP/1.x
a shutdown with no delay for HTTP/2, the {@literal GOAWAY} frame will still be sent before the connection is closed. *

The closeHandler notifies when a connection is closed.

Client sharing

You can share an HTTP client between multiple verticles or instances of the same verticle. Such client should be created outside of a verticle otherwise it will be closed when the verticle that created it is undeployed

HttpClient client = vertx.createHttpClient(new HttpClientOptions().setShared(true));
vertx.deployVerticle(() -> new AbstractVerticle() {
  @Override
  public void start() throws Exception {
    // Use the client
  }
}, new DeploymentOptions().setInstances(4));

You can also create a shared HTTP client in each verticle:

vertx.deployVerticle(() -> new AbstractVerticle() {
  HttpClient client;
  @Override
  public void start() {
    // Get or create a shared client
    // this actually creates a lease to the client
    // when the verticle is undeployed, the lease will be released automaticaly
    client = vertx.createHttpClient(new HttpClientOptions().setShared(true).setName("my-client"));
  }
}, new DeploymentOptions().setInstances(4));

The first time a shared client is created it will create and return a client. Subsequent calls will reuse this client and create a lease to this client. The client is closed after all leases have been disposed.

By default, a client reuses the current event-loop when it needs to create a TCP connection. The HTTP client will therefore randomly use event-loops of verticles using it in a safe fashion.

You can assign a number of event loop a client will use independently of the client using it

vertx.deployVerticle(() -> new AbstractVerticle() {
  HttpClient client;
  @Override
  public void start() {
    // The client creates and use two event-loops for 4 instances
    client = vertx.createHttpClient(new HttpClientOptions().setPoolEventLoopSize(2).setShared(true).setName("my-client"));
  }
}, new DeploymentOptions().setInstances(4));

Server sharing

When several HTTP servers listen on the same port, vert.x orchestrates the request handling using a round-robin strategy.

Let’s take a verticle creating a HTTP server such as:

io.vertx.examples.http.sharing.HttpServerVerticle

vertx.createHttpServer().requestHandler(request -> {
  request.response().end("Hello from server " + this);
}).listen(8080);

This service is listening on the port 8080. So, when this verticle is instantiated multiple times as with: vertx run io.vertx.examples.http.sharing.HttpServerVerticle -instances 2, what’s happening ? If both verticles would bind to the same port, you would receive a socket exception. Fortunately, vert.x is handling this case for you. When you deploy another server on the same host and port as an existing server it doesn’t actually try and create a new server listening on the same host/port. It binds only once to the socket. When receiving a request it calls the server handlers following a round robin strategy.

Let’s now imagine a client such as:

vertx.setPeriodic(100, (l) -> {
  vertx
    .createHttpClient()
    .request(HttpMethod.GET, 8080, "localhost", "/")
    .onComplete(ar1 -> {
      if (ar1.succeeded()) {
        HttpClientRequest request = ar1.result();
        request
          .send()
          .onComplete(ar2 -> {
            if (ar2.succeeded()) {
              HttpClientResponse resp = ar2.result();
              resp.bodyHandler(body -> {
                System.out.println(body.toString("ISO-8859-1"));
              });
            }
          });
      }
    });
});

Vert.x delegates the requests to one of the server sequentially:

Hello from i.v.e.h.s.HttpServerVerticle@1
Hello from i.v.e.h.s.HttpServerVerticle@2
Hello from i.v.e.h.s.HttpServerVerticle@1
Hello from i.v.e.h.s.HttpServerVerticle@2
...

Consequently the servers can scale over available cores while each Vert.x verticle instance remains strictly single threaded, and you don’t have to do any special tricks like writing load-balancers in order to scale your server on your multi-core machine.

You can bind on a shared random ports using a negative port value, the first bind will pick a port randomly, subsequent binds on the same port value will share this random port.

io.vertx.examples.http.sharing.HttpServerVerticle

vertx.createHttpServer().requestHandler(request -> {
  request.response().end("Hello from server " + this);
}).listen(-1);

Using HTTPS with Vert.x

Vert.x http servers and clients can be configured to use HTTPS in exactly the same way as net servers.

Please see configuring net servers to use SSL for more information.

SSL can also be enabled/disabled per request with RequestOptions or when specifying a scheme with setAbsoluteURI method.

client
  .request(new RequestOptions()
    .setHost("localhost")
    .setPort(8080)
    .setURI("/")
    .setSsl(true))
  .onComplete(ar1 -> {
    if (ar1.succeeded()) {
      HttpClientRequest request = ar1.result();
      request
        .send()
        .onComplete(ar2 -> {
          if (ar2.succeeded()) {
            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          }
        });
    }
  });

The setSsl setting acts as the default client setting.

The setSsl overrides the default client setting

setting the value to false will disable SSL/TLS even if the client is configured to use SSL/TLS
setting the value to true will enable SSL/TLS even if the client is configured to not use SSL/TLS, the actual client SSL/TLS (such as trust, key/certificate, ciphers, ALPN, …) will be reused

Likewise setAbsoluteURI scheme also overrides the default client setting.

Server Name Indication (SNI)

Vert.x http servers can be configured to use SNI in exactly the same way as {@linkplain io.vertx.core.net net servers}.

Vert.x http client will present the actual hostname as server name during the TLS handshake.

WebSockets

WebSockets are a web technology that allows a full duplex socket-like connection between HTTP servers and HTTP clients (typically browsers).

Vert.x supports WebSockets on both the client and server-side.

WebSockets on the server

There are two ways of handling WebSockets on the server side.

WebSocket handler

The first way involves providing a webSocketHandler on the server instance.

When a WebSocket connection is made to the server, the handler will be called, passing in an instance of ServerWebSocket.

server.webSocketHandler(webSocket -> {
  System.out.println("Connected!");
});

You can choose to reject the WebSocket by calling reject.

server.webSocketHandler(webSocket -> {
  if (webSocket.path().equals("/myapi")) {
    webSocket.reject();
  } else {
    // Do something
  }
});

You can perform an asynchronous handshake by calling setHandshake with a Future:

server.webSocketHandler(webSocket -> {
  Promise<Integer> promise = Promise.promise();
  webSocket.setHandshake(promise.future());
  authenticate(webSocket.headers(), ar -> {
    if (ar.succeeded()) {
      // Terminate the handshake with the status code 101 (Switching Protocol)
      // Reject the handshake with 401 (Unauthorized)
      promise.complete(ar.result() ? 101 : 401);
    } else {
      // Will send a 500 error
      promise.fail(ar.cause());
    }
  });
});

the WebSocket will be automatically accepted after the handler is called unless the WebSocket’s handshake has been set

Upgrading to WebSocket

The second way of handling WebSockets is to handle the HTTP Upgrade request that was sent from the client, and call toWebSocket on the server request.

server.requestHandler(request -> {
  if (request.path().equals("/myapi")) {

    Future<ServerWebSocket> fut = request.toWebSocket();
    fut.onSuccess(ws -> {
      // Do something
    });

  } else {
    // Reject
    request.response().setStatusCode(400).end();
  }
});

The server WebSocket

The ServerWebSocket instance enables you to retrieve the headers, path, query and URI of the HTTP request of the WebSocket handshake.

WebSockets on the client

The Vert.x HttpClient supports WebSockets.

You can connect a WebSocket to a server using one of the webSocket operations and providing a handler.

The handler will be called with an instance of WebSocket when the connection has been made:

client
  .webSocket("/some-uri")
  .onComplete(res -> {
    if (res.succeeded()) {
      WebSocket ws = res.result();
      System.out.println("Connected!");
    }
  });

By default, the client sets the origin header to the server host, e.g http://www.example.com. Some servers will refuse such request, you can configure the client to not set this header.

WebSocketConnectOptions options = new WebSocketConnectOptions()
  .setHost(host)
  .setPort(port)
  .setURI(requestUri)
  .setAllowOriginHeader(false);
client
  .webSocket(options)
  .onComplete(res -> {
    if (res.succeeded()) {
      WebSocket ws = res.result();
      System.out.println("Connected!");
    }
  });

You can also set a different header:

WebSocketConnectOptions options = new WebSocketConnectOptions()
  .setHost(host)
  .setPort(port)
  .setURI(requestUri)
  .addHeader(HttpHeaders.ORIGIN, origin);
client
  .webSocket(options)
  .onComplete(res -> {
    if (res.succeeded()) {
      WebSocket ws = res.result();
      System.out.println("Connected!");
    }
  });

older versions of the WebSocket protocol use sec-websocket-origin instead

Writing messages to WebSockets

If you wish to write a single WebSocket message to the WebSocket you can do this with writeBinaryMessage or writeTextMessage :

Buffer buffer = Buffer.buffer().appendInt(123).appendFloat(1.23f);
webSocket.writeBinaryMessage(buffer);

// Write a simple text message
String message = "hello";
webSocket.writeTextMessage(message);

If the WebSocket message is larger than the maximum WebSocket frame size as configured with setMaxWebSocketFrameSize then Vert.x will split it into multiple WebSocket frames before sending it on the wire.

Writing frames to WebSockets

A WebSocket message can be composed of multiple frames. In this case the first frame is either a binary or text frame followed by zero or more continuation frames.

The last frame in the message is marked as final.

To send a message consisting of multiple frames you create frames using WebSocketFrame.binaryFrame , WebSocketFrame.textFrame or WebSocketFrame.continuationFrame and write them to the WebSocket using writeFrame.

Here’s an example for binary frames:

WebSocketFrame frame1 = WebSocketFrame.binaryFrame(buffer1, false);
webSocket.writeFrame(frame1);

WebSocketFrame frame2 = WebSocketFrame.continuationFrame(buffer2, false);
webSocket.writeFrame(frame2);

// Write the final frame
WebSocketFrame frame3 = WebSocketFrame.continuationFrame(buffer2, true);
webSocket.writeFrame(frame3);

In many cases you just want to send a WebSocket message that consists of a single final frame, so we provide a couple of shortcut methods to do that with writeFinalBinaryFrame and writeFinalTextFrame.

Here’s an example:

webSocket.writeFinalTextFrame("Geronimo!");

// Send a WebSocket message consisting of a single final binary frame:

Buffer buff = Buffer.buffer().appendInt(12).appendString("foo");

webSocket.writeFinalBinaryFrame(buff);

Reading frames from WebSockets

To read frames from a WebSocket you use the frameHandler.

The frame handler will be called with instances of WebSocketFrame when a frame arrives, for example:

webSocket.frameHandler(frame -> {
  System.out.println("Received a frame of size!");
});

Closing WebSockets

Use close to close the WebSocket connection when you have finished with it.

Piping WebSockets

The WebSocket instance is also a ReadStream and a WriteStream so it can be used with pipes.

When using a WebSocket as a write stream or a read stream it can only be used with WebSockets connections that are used with binary frames that are no split over multiple frames.

Event bus handlers

Every WebSocket can register two handlers on the event bus, and when any data are received in these handlers, it writes the data to itself. Those are local subscriptions, not reachable from other clustered nodes.

This enables you to write data to a WebSocket which is potentially in a completely different verticle sending data to the address of that handler.

This feature is disabled by default, however you can enable it using setRegisterWebSocketWriteHandlers or setRegisterWriteHandlers.

The addresses of the handlers are given by binaryHandlerID and textHandlerID.

Using a proxy for HTTP/HTTPS connections

The http client supports accessing http/https URLs via a HTTP proxy (e.g. Squid) or SOCKS4a or SOCKS5 proxy. The CONNECT protocol uses HTTP/1.x but can connect to HTTP/1.x and HTTP/2 servers.

Connecting to h2c (unencrypted HTTP/2 servers) is likely not supported by http proxies since they will support HTTP/1.1 only.

The proxy can be configured in the HttpClientOptions by setting a ProxyOptions object containing proxy type, hostname, port and optionally username and password.

Here’s an example of using an HTTP proxy:

HttpClientOptions options = new HttpClientOptions()
    .setProxyOptions(new ProxyOptions().setType(ProxyType.HTTP)
        .setHost("localhost").setPort(3128)
        .setUsername("username").setPassword("secret"));
HttpClient client = vertx.createHttpClient(options);

When the client connects to an http URL, it connects to the proxy server and provides the full URL in the HTTP request ("GET http://www.somehost.com/path/file.html HTTP/1.1").

When the client connects to an https URL, it asks the proxy to create a tunnel to the remote host with the CONNECT method.

For a SOCKS5 proxy:

HttpClientOptions options = new HttpClientOptions()
    .setProxyOptions(new ProxyOptions().setType(ProxyType.SOCKS5)
        .setHost("localhost").setPort(1080)
        .setUsername("username").setPassword("secret"));
HttpClient client = vertx.createHttpClient(options);

The DNS resolution is always done on the proxy server, to achieve the functionality of a SOCKS4 client, it is necessary to resolve the DNS address locally.

Proxy options can also be set per request:

client.request(new RequestOptions()
  .setHost("example.com")
  .setProxyOptions(proxyOptions))
  .compose(request -> request
    .send()
    .compose(HttpClientResponse::body))
  .onSuccess(body -> {
    System.out.println("Received response");
  });

client connection pooling is aware of proxies (including authentication), consequently two requests to the same host through different proxies do not share the same pooled connection

You can use setNonProxyHosts to configure a list of host bypassing the proxy. The lists accept * wildcard for matching domains:

HttpClientOptions options = new HttpClientOptions()
  .setProxyOptions(new ProxyOptions().setType(ProxyType.SOCKS5)
    .setHost("localhost").setPort(1080)
    .setUsername("username").setPassword("secret"))
  .addNonProxyHost("*.foo.com")
  .addNonProxyHost("localhost");
HttpClient client = vertx.createHttpClient(options);

Handling of other protocols

The HTTP proxy implementation supports getting ftp:// urls if the proxy supports that.

When the HTTP request URI contains the full URL then the client will not compute a full HTTP url and instead use the full URL specified in the request URI:

HttpClientOptions options = new HttpClientOptions()
    .setProxyOptions(new ProxyOptions().setType(ProxyType.HTTP));
HttpClient client = vertx.createHttpClient(options);
client
  .request(HttpMethod.GET, "ftp://ftp.gnu.org/gnu/")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      HttpClientRequest request = ar.result();
      request
        .send()
        .onComplete(ar2 -> {
          if (ar2.succeeded()) {
            HttpClientResponse response = ar2.result();
            System.out.println("Received response with status code " + response.statusCode());
          }
        });
    }
  });

Using HA PROXY protocol

HA PROXY protocol provides a convenient way to safely transport connection information such as a client’s address across multiple layers of NAT or TCP proxies.

HA PROXY protocol can be enabled by setting the option setUseProxyProtocol and adding the following dependency in your classpath:

<dependency>
 <groupId>io.netty</groupId>
 <artifactId>netty-codec-haproxy</artifactId>
 <!--<version>Should align with netty version that Vert.x uses</version>-->
</dependency>

HttpServerOptions options = new HttpServerOptions()
  .setUseProxyProtocol(true);

HttpServer server = vertx.createHttpServer(options);
server.requestHandler(request -> {
  // Print the actual client address provided by the HA proxy protocol instead of the proxy address
  System.out.println(request.remoteAddress());

  // Print the address of the proxy
  System.out.println(request.localAddress());
});

Automatic clean-up in verticles

If you’re creating http servers and clients from inside verticles, those servers and clients will be automatically closed when the verticle is undeployed.

Using the SharedData API

As its name suggests, the SharedData API allows you to safely share data between:

different parts of your application, or
different applications in the same Vert.x instance, or
different applications across a cluster of Vert.x instances.

In practice, it provides:

synchronous maps (local-only)
asynchronous maps
asynchronous locks
asynchronous counters

The behavior of the distributed data structure depends on the cluster manager you use. Backup (replication) and behavior when a network partition is faced are defined by the cluster manager and its configuration. Please refer to the cluster manager documentation as well as to the underlying framework manual.

Local maps

Local maps allow you to share data safely between different event loops (e.g. different verticles) in the same Vert.x instance.

They only allow certain data types to be used as keys and values:

immutable types (e.g. strings, booleans, … etc), or
types implementing the Shareable interface (buffers, JSON arrays, JSON objects, or your own shareable objects).

In the latter case the key/value will be copied before putting it into the map.

This way we can ensure there is no shared access to mutable state between different threads in your Vert.x application. And you won’t have to worry about protecting that state by synchronising access to it.

As a convenience, objects implementing ClusterSerializable or java.io.Serializable can be used as keys and values too. In this case, the key/value will be copied before putting it into the map by serializing/deserializing. Therefore, it is recommended to consider implementing Shareable instead for better performance.

Here’s an example of using a shared local map:

SharedData sharedData = vertx.sharedData();

LocalMap<String, String> map1 = sharedData.getLocalMap("mymap1");

map1.put("foo", "bar"); // Strings are immutable so no need to copy

LocalMap<String, Buffer> map2 = sharedData.getLocalMap("mymap2");

map2.put("eek", Buffer.buffer().appendInt(123)); // This buffer will be copied before adding to map

// Then... in another part of your application:

map1 = sharedData.getLocalMap("mymap1");

String val = map1.get("foo");

map2 = sharedData.getLocalMap("mymap2");

Buffer buff = map2.get("eek");

Asynchronous shared maps

Asynchronous shared maps allow data to be put in the map and retrieved locally or from any other node.

This makes them really useful for things like storing session state in a farm of servers hosting a Vert.x Web application.

They only allow certain data types to be used as keys and values:

immutable types (e.g. strings, booleans, … etc), or
types implementing the ClusterSerializable interface (buffers, JSON arrays, JSON objects, or your own cluster serializable objects), or
types implementing the java.io.Serializable interface.

Getting the map is asynchronous and the result is returned to you in the handler that you specify. Here’s an example:

SharedData sharedData = vertx.sharedData();

sharedData.
  <String, String>getAsyncMap("mymap")
  .onComplete(res -> {
    if (res.succeeded()) {
      AsyncMap<String, String> map = res.result();
    } else {
      // Something went wrong!
    }
  });

When Vert.x is clustered, data that you put into the map is accessible locally as well as on any of the other cluster members.

In clustered mode, asynchronous shared maps rely on distributed data structures provided by the cluster manager. Beware that the latency relative to asynchronous shared map operations can be much higher in clustered than in local mode.

If your application doesn’t need data to be shared with every other node, you can retrieve a local-only map:

SharedData sharedData = vertx.sharedData();

sharedData.
  <String, String>getLocalAsyncMap("mymap")
  .onComplete(res -> {
    if (res.succeeded()) {
      // Local-only async map
      AsyncMap<String, String> map = res.result();
    } else {
      // Something went wrong!
    }
  });

Putting data in a map

You put data in a map with put.

The actual put is asynchronous and the handler is notified once it is complete:

map
  .put("foo", "bar")
  .onComplete(resPut -> {
    if (resPut.succeeded()) {
      // Successfully put the value
    } else {
      // Something went wrong!
    }
  });

Getting data from a map

You get data from a map with get.

The actual get is asynchronous and the handler is notified with the result some time later:

map
  .get("foo")
  .onComplete(resGet -> {
    if (resGet.succeeded()) {
      // Successfully got the value
      Object val = resGet.result();
    } else {
      // Something went wrong!
    }
  });

Other map operations

You can also remove entries from an asynchronous map, clear them and get the size.

See the API docs for a detailed list of map operations.

Asynchronous locks

Asynchronous locks allow you to obtain exclusive locks locally or across the cluster. This is useful when you want to do something or access a resource on only one node of a cluster at any one time.

Asynchronous locks have an asynchronous API unlike most lock APIs which block the calling thread until the lock is obtained.

To obtain a lock use getLock. This won’t block, but when the lock is available, the handler will be called with an instance of Lock, signalling that you now own the lock.

While you own the lock, no other caller, locally or on the cluster, will be able to obtain the lock.

When you’ve finished with the lock, you call release to release it, so another caller can obtain it:

SharedData sharedData = vertx.sharedData();

sharedData
  .getLock("mylock")
  .onComplete(res -> {
    if (res.succeeded()) {
      // Got the lock!
      Lock lock = res.result();

      // 5 seconds later we release the lock so someone else can get it

      vertx.setTimer(5000, tid -> lock.release());

    } else {
      // Something went wrong
    }
  });

You can also get a lock with a timeout. If it fails to obtain the lock within the timeout the handler will be called with a failure:

SharedData sharedData = vertx.sharedData();

sharedData
  .getLockWithTimeout("mylock", 10000)
  .onComplete(res -> {
    if (res.succeeded()) {
      // Got the lock!
      Lock lock = res.result();

    } else {
      // Failed to get lock
    }
  });

See the API docs for a detailed list of lock operations.

In clustered mode, asynchronous locks rely on distributed data structures provided by the cluster manager. Beware that the latency relative to asynchronous shared lock operations can be much higher in clustered than in local mode.

If your application doesn’t need the lock to be shared with every other node, you can retrieve a local-only lock:

SharedData sharedData = vertx.sharedData();

sharedData
  .getLocalLock("mylock")
  .onComplete(res -> {
    if (res.succeeded()) {
      // Local-only lock
      Lock lock = res.result();

      // 5 seconds later we release the lock so someone else can get it

      vertx.setTimer(5000, tid -> lock.release());

    } else {
      // Something went wrong
    }
  });

Asynchronous counters

It’s often useful to maintain an atomic counter locally or across the different nodes of your application.

You can do this with Counter.

You obtain an instance with getCounter:

SharedData sharedData = vertx.sharedData();

sharedData
  .getCounter("mycounter")
  .onComplete(res -> {
    if (res.succeeded()) {
      Counter counter = res.result();
    } else {
      // Something went wrong!
    }
  });

Once you have an instance you can retrieve the current count, atomically increment it, decrement and add a value to it using the various methods.

See the API docs for a detailed list of counter operations.

In clustered mode, asynchronous counters rely on distributed data structures provided by the cluster manager. Beware that the latency relative to asynchronous shared counter operations can be much higher in clustered than in local mode.

If your application doesn’t need the counter to be shared with every other node, you can retrieve a local-only counter:

SharedData sharedData = vertx.sharedData();

sharedData
  .getLocalCounter("mycounter")
  .onComplete(res -> {
    if (res.succeeded()) {
      // Local-only counter
      Counter counter = res.result();
    } else {
      // Something went wrong!
    }
  });

Using the file system with Vert.x

The Vert.x FileSystem object provides many operations for manipulating the file system.

There is one file system object per Vert.x instance, and you obtain it with fileSystem.

A blocking and a non blocking version of each operation is provided. The non blocking versions take a handler which is called when the operation completes or an error occurs.

Here’s an example of an asynchronous copy of a file:

FileSystem fs = vertx.fileSystem();

// Copy file from foo.txt to bar.txt
fs.copy("foo.txt", "bar.txt")
  .onComplete(res -> {
    if (res.succeeded()) {
      // Copied ok!
    } else {
      // Something went wrong
    }
  });

The blocking versions are named xxxBlocking and return the results or throw exceptions directly. In many cases, depending on the operating system and file system, some of the potentially blocking operations can return quickly, which is why we provide them, but it’s highly recommended that you test how long they take to return in your particular application before using them from an event loop, so as not to break the Golden Rule.

Here’s the copy using the blocking API:

FileSystem fs = vertx.fileSystem();

// Copy file from foo.txt to bar.txt synchronously
fs.copyBlocking("foo.txt", "bar.txt");

Many operations exist to copy, move, truncate, chmod and many other file operations. We won’t list them all here, please consult the API docs for the full list.

Let’s see a couple of examples using asynchronous methods:

vertx.fileSystem()
  .readFile("target/classes/readme.txt")
  .onComplete(result -> {
    if (result.succeeded()) {
      System.out.println(result.result());
    } else {
      System.err.println("Oh oh ..." + result.cause());
    }
  });

// Copy a file
vertx.fileSystem()
  .copy("target/classes/readme.txt", "target/classes/readme2.txt")
  .onComplete(result -> {
    if (result.succeeded()) {
      System.out.println("File copied");
    } else {
      System.err.println("Oh oh ..." + result.cause());
    }
  });

// Write a file
vertx.fileSystem()
  .writeFile("target/classes/hello.txt", Buffer.buffer("Hello"))
  .onComplete(result -> {
    if (result.succeeded()) {
      System.out.println("File written");
    } else {
      System.err.println("Oh oh ..." + result.cause());
    }
  });

// Check existence and delete
vertx.fileSystem()
  .exists("target/classes/junk.txt")
  .compose(exist -> {
    if (exist) {
      return vertx.fileSystem().delete("target/classes/junk.txt");
    } else {
      return Future.failedFuture("File does not exist");
    }
  }).onComplete(result -> {
    if (result.succeeded()) {
      System.out.println("File deleted");
    } else {
      System.err.println("Oh oh ... - cannot delete the file: " + result.cause().getMessage());
    }
  });

Asynchronous files

Vert.x provides an asynchronous file abstraction that allows you to manipulate a file on the file system.

You open an AsyncFile as follows:

OpenOptions options = new OpenOptions();
fileSystem
  .open("myfile.txt", options)
  .onComplete(res -> {
    if (res.succeeded()) {
      AsyncFile file = res.result();
    } else {
      // Something went wrong!
    }
  });

AsyncFile implements ReadStream and WriteStream so you can pipe files to and from other stream objects such as net sockets, http requests and responses, and WebSockets.

They also allow you to read and write directly to them.

Random access writes

To use an AsyncFile for random access writing you use the write method.

The parameters to the method are:

buffer: the buffer to write.
position: an integer position in the file where to write the buffer. If the position is greater or equal to the size of the file, the file will be enlarged to accommodate the offset.
handler: the result handler

Here is an example of random access writes:

vertx.fileSystem()
  .open("target/classes/hello.txt", new OpenOptions())
  .onComplete(result -> {
    if (result.succeeded()) {
      AsyncFile file = result.result();
      Buffer buff = Buffer.buffer("foo");
      for (int i = 0; i < 5; i++) {
        file
          .write(buff, buff.length() * i)
          .onComplete(ar -> {
            if (ar.succeeded()) {
              System.out.println("Written ok!");
              // etc
            } else {
              System.err.println("Failed to write: " + ar.cause());
            }
          });
      }
    } else {
      System.err.println("Cannot open file " + result.cause());
    }
  });

Random access reads

To use an AsyncFile for random access reads you use the read method.

The parameters to the method are:

buffer: the buffer into which the data will be read.
offset: an integer offset into the buffer where the read data will be placed.
position: the position in the file where to read data from.
length: the number of bytes of data to read
handler: the result handler

Here’s an example of random access reads:

vertx.fileSystem()
  .open("target/classes/les_miserables.txt", new OpenOptions())
  .onComplete(result -> {
    if (result.succeeded()) {
      AsyncFile file = result.result();
      Buffer buff = Buffer.buffer(1000);
      for (int i = 0; i < 10; i++) {
        file
          .read(buff, i * 100, i * 100, 100)
          .onComplete(ar -> {
            if (ar.succeeded()) {
              System.out.println("Read ok!");
            } else {
              System.err.println("Failed to write: " + ar.cause());
            }
          });
      }
    } else {
      System.err.println("Cannot open file " + result.cause());
    }
  });

Opening Options

When opening an AsyncFile, you pass an OpenOptions instance. These options describe the behavior of the file access. For instance, you can configure the file permissions with the setRead, setWrite and setPerms methods.

You can also configure the behavior if the open file already exists with setCreateNew and setTruncateExisting.

You can also mark the file to be deleted on close or when the JVM is shutdown with setDeleteOnClose.

Flushing data to underlying storage.

In the OpenOptions, you can enable/disable the automatic synchronisation of the content on every write using setDsync. In that case, you can manually flush any writes from the OS cache by calling the flush method.

This method can also be called with a handler which will be called when the flush is complete.

Using AsyncFile as ReadStream and WriteStream

AsyncFile implements ReadStream and WriteStream. You can then use them with a pipe to pipe data to and from other read and write streams. For example, this would copy the content to another AsyncFile:

final AsyncFile output = vertx.fileSystem().openBlocking("target/classes/plagiary.txt", new OpenOptions());

vertx.fileSystem()
  .open("target/classes/les_miserables.txt", new OpenOptions())
  .compose(file -> file
    .pipeTo(output)
    .eventually(v -> file.close()))
  .onComplete(result -> {
    if (result.succeeded()) {
      System.out.println("Copy done");
    } else {
      System.err.println("Cannot copy file " + result.cause().getMessage());
    }
  });

You can also use the pipe to write file content into HTTP responses, or more generally in any WriteStream.

Accessing files from the classpath

When vert.x cannot find the file on the filesystem it tries to resolve the file from the class path. Note that classpath resource paths never start with a /.

Due to the fact that Java does not offer async access to classpath resources, the file is copied to the filesystem in a worker thread when the classpath resource is accessed the very first time and served from there asynchronously. When the same resource is accessed a second time, the file from the filesystem is served directly from the filesystem. The original content is served even if the classpath resource changes (e.g. in a development system).

This caching behaviour can be set on the setFileCachingEnabled option. The default value of this option is true unless the system property vertx.disableFileCaching is defined.

The path where the files are cached is /tmp/vertx-cache-UUID by default and can be customized by setting the system property vertx.cacheDirBase. When using this property, note that it should refer to a directory prefix in a process read/writeable location, for example: -Dvertx.cacheDirBase=/tmp/my-vertx-cache (Note that there’s no UUID).

Each vert.x process will append it’s own UUID in order to keep caches independently of different applications running on the same machine.

The whole classpath resolving feature can be disabled system-wide by setting the system property vertx.disableFileCPResolving to true.

these system properties are evaluated once when the io.vertx.core.file.FileSystemOptions class is loaded, so these properties should be set before loading this class or as a JVM system property when launching it.

If you want to disable classpath resolving for a particular application but keep it enabled by default system-wide, you can do so via the setClassPathResolvingEnabled option.

Closing an AsyncFile

To close an AsyncFile call the close method. Closing is asynchronous and if you want to be notified when the close has been completed you can specify a handler function as an argument.

Datagram sockets (UDP)

Using User Datagram Protocol (UDP) with Vert.x is a piece of cake.

UDP is a connection-less transport which basically means you have no persistent connection to a remote peer.

Instead, you can send and receive packages and the remote address is contained in each of them.

Beside this UDP is not as safe as TCP to use, which means there are no guarantees that a send Datagram packet will receive it’s endpoint at all.

The only guarantee is that it will either receive complete or not at all.

Also, you usually can’t send data which is bigger then the MTU size of your network interface, this is because each packet will be send as one packet.

But, be aware even if the packet size is smaller then the MTU it may still fail.

At which size it will fail depends on the Operating System etc. So rule of thumb is to try to send small packets.

Because of the nature of UDP it is best fit for Applications where you are allowed to drop packets (like for example a monitoring application).

The benefits are that it has a lot less overhead compared to TCP, which can be handled by the NetServer and NetClient (see above).

Creating a DatagramSocket

To use UDP you first need t create a DatagramSocket. It does not matter here if you only want to send data or send and receive.

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());

The returned DatagramSocket will not be bound to a specific port. This is not a problem if you only want to send data (like a client), but more on this in the next section.

Sending Datagram packets

As mentioned before, User Datagram Protocol (UDP) sends data in packets to remote peers but is not connected to them in a persistent fashion.

This means each packet can be sent to a different remote peer.

Sending packets is as easy as shown here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());
Buffer buffer = Buffer.buffer("content");
// Send a Buffer
socket
  .send(buffer, 1234, "10.0.0.1")
  .onComplete(asyncResult -> System.out.println("Send succeeded? " + asyncResult.succeeded()));
// Send a String
socket
  .send("A string used as content", 1234, "10.0.0.1")
  .onComplete(asyncResult -> System.out.println("Send succeeded? " + asyncResult.succeeded()));

Receiving Datagram packets

If you want to receive packets you need to bind the DatagramSocket by calling listen(…)} on it.

This way you will be able to receive DatagramPacket`s that were sent to the address and port on which the `DatagramSocket listens.

Beside this you also want to set a Handler which will be called for each received DatagramPacket.

The DatagramPacket has the following methods:

sender: The InetSocketAddress which represent the sender of the packet
data: The Buffer which holds the data which was received.

So to listen on a specific address and port you would do something like shown here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());
socket
  .handler(packet -> {
    // Do something with the packet
  })
  .listen(1234, "0.0.0.0")
  .onComplete(asyncResult -> System.out.println("Send succeeded? " + asyncResult.succeeded()));
;

Be aware that even if the {code AsyncResult} is successed it only means it might be written on the network stack, but gives no guarantee that it ever reached or will reach the remote peer at all.

If you need such a guarantee then you want to use TCP with some handshaking logic build on top.

Multicast

Sending Multicast packets

Multicast allows multiple sockets to receive the same packets. This works by having the sockets join the same multicast group to which you can then send packets.

We will look at how you can join a Multicast Group and receive packets in the next section.

Sending multicast packets is not different from sending normal Datagram packets. The difference is that you pass in a multicast group address to the send method.

This is show here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());
Buffer buffer = Buffer.buffer("content");
// Send a Buffer to a multicast address
socket
  .send(buffer, 1234, "230.0.0.1")
  .onComplete(asyncResult -> System.out.println("Send succeeded? " + asyncResult.succeeded()));

All sockets that have joined the multicast group 230.0.0.1 will receive the packet.

Receiving Multicast packets

If you want to receive packets for specific Multicast group you need to bind the DatagramSocket by calling listen(…) on it to join the Multicast group.

This way you will receive DatagramPackets that were sent to the address and port on which the DatagramSocket listens and also to those sent to the Multicast group.

Beside this you also want to set a Handler which will be called for each received DatagramPacket.

The DatagramPacket has the following methods:

sender(): The InetSocketAddress which represent the sender of the packet
data(): The Buffer which holds the data which was received.

So to listen on a specific address and port and also receive packets for the Multicast group 230.0.0.1 you would do something like shown here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());
socket
  .handler(packet -> {
    // Do something with the packet
  })
  .listen(1234, "0.0.0.0")
  .compose(v -> socket.listenMulticastGroup("230.0.0.1")) // join the multicast group
  .onComplete(asyncResult -> System.out.println("Listen succeeded? " + asyncResult.succeeded()));

Unlisten / leave a Multicast group

There are sometimes situations where you want to receive packets for a Multicast group for a limited time.

In this situations you can first start to listen for them and then later unlisten.

This is shown here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());
socket
  .handler(packet -> {
    // Do something with the packet
  })
  .listen(1234, "0.0.0.0")
  .compose(v -> socket.listenMulticastGroup("230.0.0.1")) // join the multicast group
  .onComplete(asyncResult -> {
    if (asyncResult.succeeded()) {
      // will now receive packets for group

      // do some work

      socket.unlistenMulticastGroup("230.0.0.1").onComplete(asyncResult2 -> {
        System.out.println("Unlisten succeeded? " + asyncResult2.succeeded());
      });
    } else {
      System.out.println("Listen failed" + asyncResult.cause());
    }
  });

Blocking multicast

Beside unlisten a Multicast address it’s also possible to just block multicast for a specific sender address.

Be aware this only work on some Operating Systems and kernel versions. So please check the Operating System documentation if it’s supported.

This an expert feature.

To block multicast from a specific address you can call blockMulticastGroup(…) on the DatagramSocket like shown here:

DatagramSocket socket = vertx.createDatagramSocket(new DatagramSocketOptions());

// Some code

// This would block packets which are send from 10.0.0.2
socket
  .blockMulticastGroup("230.0.0.1", "10.0.0.2")
  .onComplete(asyncResult -> System.out.println("block succeeded? " + asyncResult.succeeded()));

DatagramSocket properties

When creating a DatagramSocket there are multiple properties you can set to change it’s behaviour with the DatagramSocketOptions object. Those are listed here:

setSendBufferSize Sets the send buffer size in bytes.
setReceiveBufferSize Sets the TCP receive buffer size in bytes.
setReuseAddress If true then addresses in TIME_WAIT state can be reused after they have been closed.
setTrafficClass
setBroadcast Sets or clears the SO_BROADCAST socket option. When this option is set, Datagram (UDP) packets may be sent to a local interface’s broadcast address.
setMulticastNetworkInterface Sets or clears the IP_MULTICAST_LOOP socket option. When this option is set, multicast packets will also be received on the local interface.
setMulticastTimeToLive Sets the IP_MULTICAST_TTL socket option. TTL stands for "Time to Live," but in this context it specifies the number of IP hops that a packet is allowed to go through, specifically for multicast traffic. Each router or gateway that forwards a packet decrements the TTL. If the TTL is decremented to 0 by a router, it will not be forwarded.

DatagramSocket Local Address

You can find out the local address of the socket (i.e. the address of this side of the UDP Socket) by calling localAddress. This will only return an InetSocketAddress if you bound the DatagramSocket with listen(…) before, otherwise it will return null.

Closing a DatagramSocket

You can close a socket by invoking the close method. This will close the socket and release all resources

DNS client

Often you will find yourself in situations where you need to obtain DNS informations in an asynchronous fashion. Unfortunally this is not possible with the API that is shipped with the Java Virtual Machine itself. Because of this Vert.x offers it’s own API for DNS resolution which is fully asynchronous.

To obtain a DnsClient instance you will create a new via the Vertx instance.

DnsClient client = vertx.createDnsClient(53, "10.0.0.1");

You can also create the client with options and configure the query timeout.

DnsClient client = vertx.createDnsClient(new DnsClientOptions()
  .setPort(53)
  .setHost("10.0.0.1")
  .setQueryTimeout(10000)
);

Creating the client with no arguments or omitting the server address will use the address of the server used internally for non blocking address resolution.

DnsClient client1 = vertx.createDnsClient();

// Just the same but with a different query timeout
DnsClient client2 = vertx.createDnsClient(new DnsClientOptions().setQueryTimeout(10000));

A client uses a single event loop for querying purposes, it can safely be used from any thread, including non Vert.x thread.

lookup

Try to lookup the A (ipv4) or AAAA (ipv6) record for a given name. The first which is returned will be used, so it behaves the same way as you may be used from when using "nslookup" on your operation system.

To lookup the A / AAAA record for "vertx.io" you would typically use it like:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .lookup("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      System.out.println(ar.result());
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

lookup4

Try to lookup the A (ipv4) record for a given name. The first which is returned will be used, so it behaves the same way as you may be used from when using "nslookup" on your operation system.

To lookup the A record for "vertx.io" you would typically use it like:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .lookup4("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      System.out.println(ar.result());
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

lookup6

Try to lookup the AAAA (ipv6) record for a given name. The first which is returned will be used, so it behaves the same way as you may be used from when using "nslookup" on your operation system.

To lookup the A record for "vertx.io" you would typically use it like:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .lookup6("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      System.out.println(ar.result());
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveA

Try to resolve all A (ipv4) records for a given name. This is quite similar to using "dig" on unix like operation systems.

To lookup all the A records for "vertx.io" you would typically do:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveA("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<String> records = ar.result();
      for (String record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveAAAA

Try to resolve all AAAA (ipv6) records for a given name. This is quite similar to using "dig" on unix like operation systems.

To lookup all the AAAAA records for "vertx.io" you would typically do:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveAAAA("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<String> records = ar.result();
      for (String record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveCNAME

Try to resolve all CNAME records for a given name. This is quite similar to using "dig" on unix like operation systems.

To lookup all the CNAME records for "vertx.io" you would typically do:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveCNAME("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<String> records = ar.result();
      for (String record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveMX

Try to resolve all MX records for a given name. The MX records are used to define which Mail-Server accepts emails for a given domain.

To lookup all the MX records for "vertx.io" you would typically do:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveMX("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<MxRecord> records = ar.result();
      for (MxRecord record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

Be aware that the List will contain the MxRecord sorted by the priority of them, which means MX records with smaller priority coming first in the List.

The MxRecord allows you to access the priority and the name of the MX record by offer methods for it like:

record.priority();
record.name();

resolveTXT

Try to resolve all TXT records for a given name. TXT records are often used to define extra information for a domain.

To resolve all the TXT records for "vertx.io" you could use something along these lines:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveTXT("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<String> records = ar.result();
      for (String record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveNS

Try to resolve all NS records for a given name. The NS records specify which DNS Server hosts the DNS informations for a given domain.

To resolve all the NS records for "vertx.io" you could use something along these lines:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveNS("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<String> records = ar.result();
      for (String record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

resolveSRV

Try to resolve all SRV records for a given name. The SRV records are used to define extra information like port and hostname of services. Some protocols need this extra information.

To lookup all the SRV records for "vertx.io" you would typically do:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolveSRV("vertx.io")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      List<SrvRecord> records = ar.result();
      for (SrvRecord record : records) {
        System.out.println(record);
      }
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

Be aware that the List will contain the SrvRecords sorted by the priority of them, which means SrvRecords with smaller priority coming first in the List.

The SrvRecord allows you to access all information contained in the SRV record itself:

record.priority();
record.name();
record.weight();
record.port();
record.protocol();
record.service();
record.target();

Please refer to the API docs for the exact details.

resolvePTR

Try to resolve the PTR record for a given name. The PTR record maps an ipaddress to a name.

To resolve the PTR record for the ipaddress 10.0.0.1 you would use the PTR notion of "1.0.0.10.in-addr.arpa"

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .resolvePTR("1.0.0.10.in-addr.arpa")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      String record = ar.result();
      System.out.println(record);
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

reverseLookup

Try to do a reverse lookup for an ipaddress. This is basically the same as resolve a PTR record, but allows you to just pass in the ipaddress and not a valid PTR query string.

To do a reverse lookup for the ipaddress 10.0.0.1 do something similar like this:

DnsClient client = vertx.createDnsClient(53, "9.9.9.9");
client
  .reverseLookup("10.0.0.1")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      String record = ar.result();
      System.out.println(record);
    } else {
      System.out.println("Failed to resolve entry" + ar.cause());
    }
  });

Error handling

As you saw in previous sections the DnsClient allows you to pass in a Handler which will be notified with an AsyncResult once the query was complete. In case of an error it will be notified with a DnsException which will hole a DnsResponseCode that indicate why the resolution failed. This DnsResponseCode can be used to inspect the cause in more detail.

Possible DnsResponseCodes are:

NOERROR No record was found for a given query
FORMERROR Format error
SERVFAIL Server failure
NXDOMAIN Name error
NOTIMPL Not implemented by DNS Server
REFUSED DNS Server refused the query
YXDOMAIN Domain name should not exist
YXRRSET Resource record should not exist
NXRRSET RRSET does not exist
NOTZONE Name not in zone
BADVERS Bad extension mechanism for version
BADSIG Bad signature
BADKEY Bad key
BADTIME Bad timestamp

All of those errors are "generated" by the DNS Server itself.

You can obtain the DnsResponseCode from the DnsException like:

DnsClient client = vertx.createDnsClient(53, "10.0.0.1");
client
  .lookup("nonexisting.vert.xio")
  .onComplete(ar -> {
    if (ar.succeeded()) {
      String record = ar.result();
      System.out.println(record);
    } else {
      Throwable cause = ar.cause();
      if (cause instanceof DnsException) {
        DnsException exception = (DnsException) cause;
        DnsResponseCode code = exception.code();
        // ...
      } else {
        System.out.println("Failed to resolve entry" + ar.cause());
      }
    }
  });

Streams

There are several objects in Vert.x that allow items to be read from and written.

In Vert.x, write calls return immediately, and writes are queued internally.

It’s not hard to see that if you write to an object faster than it can actually write the data to its underlying resource, then the write queue can grow unbounded - eventually resulting in memory exhaustion.

To solve this problem a simple flow control (back-pressure) capability is provided by some objects in the Vert.x API.

Any flow control aware object that can be written-to implements WriteStream, while any flow control object that can be read-from is said to implement ReadStream.

Let’s take an example where we want to read from a ReadStream then write the data to a WriteStream.

A very simple example would be reading from a NetSocket then writing back to the same NetSocket - since NetSocket implements both ReadStream and WriteStream. Note that this works between any ReadStream and WriteStream compliant object, including HTTP requests, HTTP responses, async files I/O, WebSockets, etc.

A naive way to do this would be to directly take the data that has been read and immediately write it to the NetSocket:

NetServer server = vertx.createNetServer(
    new NetServerOptions().setPort(1234).setHost("localhost")
);
server.connectHandler(sock -> {
  sock.handler(buffer -> {
    // Write the data straight back
    sock.write(buffer);
  });
}).listen();

There is a problem with the example above: if data is read from the socket faster than it can be written back to the socket, it will build up in the write queue of the NetSocket, eventually running out of RAM. This might happen, for example if the client at the other end of the socket wasn’t reading fast enough, effectively putting back-pressure on the connection.

Since NetSocket implements WriteStream, we can check if the WriteStream is full before writing to it:

NetServer server = vertx.createNetServer(
    new NetServerOptions().setPort(1234).setHost("localhost")
);
server.connectHandler(sock -> {
  sock.handler(buffer -> {
    if (!sock.writeQueueFull()) {
      sock.write(buffer);
    }
  });

}).listen();

This example won’t run out of RAM but we’ll end up losing data if the write queue gets full. What we really want to do is pause the NetSocket when the write queue is full:

NetServer server = vertx.createNetServer(
    new NetServerOptions().setPort(1234).setHost("localhost")
);
server.connectHandler(sock -> {
  sock.handler(buffer -> {
    sock.write(buffer);
    if (sock.writeQueueFull()) {
      sock.pause();
    }
  });
}).listen();

We’re almost there, but not quite. The NetSocket now gets paused when the file is full, but we also need to unpause it when the write queue has processed its backlog:

NetServer server = vertx.createNetServer(
    new NetServerOptions().setPort(1234).setHost("localhost")
);
server.connectHandler(sock -> {
  sock.handler(buffer -> {
    sock.write(buffer);
    if (sock.writeQueueFull()) {
      sock.pause();
      sock.drainHandler(done -> {
        sock.resume();
      });
    }
  });
}).listen();

And there we have it. The drainHandler event handler will get called when the write queue is ready to accept more data, this resumes the NetSocket that allows more data to be read.

Wanting to do this is quite common while writing Vert.x applications, so we added the pipeTo method that does all of this hard work for you. You just feed it the WriteStream and use it:

NetServer server = vertx.createNetServer(
  new NetServerOptions().setPort(1234).setHost("localhost")
);
server.connectHandler(sock -> {
  sock.pipeTo(sock);
}).listen();

This does exactly the same thing as the more verbose example, plus it handles stream failures and termination: the destination WriteStream is ended when the pipe completes with success or a failure.

You can be notified when the operation completes:

server.connectHandler(sock -> {

  // Pipe the socket providing an handler to be notified of the result
  sock
    .pipeTo(sock)
    .onComplete(ar -> {
      if (ar.succeeded()) {
        System.out.println("Pipe succeeded");
      } else {
        System.out.println("Pipe failed");
      }
    });
}).listen();

When you deal with an asynchronous destination, you can create a Pipe instance that pauses the source and resumes it when the source is piped to the destination:

server.connectHandler(sock -> {

  // Create a pipe to use asynchronously
  Pipe<Buffer> pipe = sock.pipe();

  // Open a destination file
  fs.open("/path/to/file", new OpenOptions())
    .onComplete(ar -> {
      if (ar.succeeded()) {
        AsyncFile file = ar.result();

        // Pipe the socket to the file and close the file at the end
        pipe.to(file);
      } else {
        sock.close();
      }
  });
}).listen();

When you need to abort the transfer, you need to close it:

vertx.createHttpServer()
  .requestHandler(request -> {

    // Create a pipe that to use asynchronously
    Pipe<Buffer> pipe = request.pipe();

    // Open a destination file
    fs.open("/path/to/file", new OpenOptions())
      .onComplete(ar -> {
        if (ar.succeeded()) {
          AsyncFile file = ar.result();

          // Pipe the socket to the file and close the file at the end
          pipe.to(file);
        } else {
          // Close the pipe and resume the request, the body buffers will be discarded
          pipe.close();

          // Send an error response
          request.response().setStatusCode(500).end();
        }
      });
  }).listen(8080);

When the pipe is closed, the streams handlers are unset and the ReadStream resumed.

As seen above, by default the destination is always ended when the stream completes, you can control this behavior on the pipe object:

endOnFailure controls the behavior when a failure happens
endOnSuccess controls the behavior when the read stream ends
endOnComplete controls the behavior in all cases

Here is a short example:

src.pipe()
  .endOnSuccess(false)
  .to(dst)
  .onComplete(rs -> {
    // Append some text and close the file
    dst.end(Buffer.buffer("done"));
  });

Let’s now look at the methods on ReadStream and WriteStream in more detail:

ReadStream

ReadStream is implemented by HttpClientResponse, DatagramSocket, HttpClientRequest, HttpServerFileUpload, HttpServerRequest, MessageConsumer, NetSocket, WebSocket, AsyncFile.

handler: set a handler which will receive items from the ReadStream.
pause: pause the stream. When paused no items will be received in the handler.
fetch: fetch a specified amount of item from the stream. The handler will be called if any item arrives. Fetches are cumulative.
resume: resume the stream. The handler will be called if any item arrives. Resuming is equivalent of fetching Long.MAX_VALUE items.
exceptionHandler: called when an exception occurs on the ReadStream.
endHandler: called when the end of stream is reached. This might be when EOF is reached if the ReadStream represents a file, or when end of request is reached if it’s an HTTP request, or when the connection is closed if it’s a TCP socket.

A read stream is either in flowing or fetch mode

initially the stream is in <i>flowing</i> mode
when the stream is in flowing mode, elements are delivered to the handler
when the stream is in fetch mode, only the number of requested elements will be delivered to the handler

pause, resume and fetch change the mode

resume() sets the flowing mode
pause() sets the fetch mode and resets the demand to 0
fetch(long) requests a specific amount of elements and adds it to the actual demand

WriteStream

WriteStream is implemented by HttpClientRequest, HttpServerResponse WebSocket, NetSocket and AsyncFile.

Functions:

write: write an object to the WriteStream. This method will never block. Writes are queued internally and asynchronously written to the underlying resource.
setWriteQueueMaxSize: set the number of object at which the write queue is considered full, and the method writeQueueFull returns true. Note that, when the write queue is considered full, if write is called the data will still be accepted and queued. The actual number depends on the stream implementation, for Buffer the size represents the actual number of bytes written and not the number of buffers.
writeQueueFull: returns true if the write queue is considered full.
exceptionHandler: Will be called if an exception occurs on the WriteStream.
drainHandler: The handler will be called if the WriteStream is considered no longer full.

Record Parser

The record parser allows you to easily parse protocols which are delimited by a sequence of bytes, or fixed size records. It transforms a sequence of input buffer to a sequence of buffer structured as configured (either fixed size or separated records).

For example, if you have a simple ASCII text protocol delimited by '\n' and the input is the following:

buffer1:HELLO\nHOW ARE Y
buffer2:OU?\nI AM
buffer3: DOING OK
buffer4:\n

The record parser would produce

buffer1:HELLO
buffer2:HOW ARE YOU?
buffer3:I AM DOING OK

Let’s see the associated code:

final RecordParser parser = RecordParser.newDelimited("\n", h -> {
  System.out.println(h.toString());
});

parser.handle(Buffer.buffer("HELLO\nHOW ARE Y"));
parser.handle(Buffer.buffer("OU?\nI AM"));
parser.handle(Buffer.buffer("DOING OK"));
parser.handle(Buffer.buffer("\n"));

You can also produce fixed sized chunks as follows:

RecordParser.newFixed(4, h -> {
  System.out.println(h.toString());
});

For more details, check out the RecordParser class.

Json Parser

You can easily parse JSON structures but that requires to provide the JSON content at once, but it may not be convenient when you need to parse very large structures.

The non-blocking JSON parser is an event driven parser able to deal with very large structures. It transforms a sequence of input buffer to a sequence of JSON parse events.

JsonParser parser = JsonParser.newParser();

// Set handlers for various events
parser.handler(event -> {
  switch (event.type()) {
    case START_OBJECT:
      // Start an objet
      break;
    case END_OBJECT:
      // End an objet
      break;
    case START_ARRAY:
      // Start an array
      break;
    case END_ARRAY:
      // End an array
      break;
    case VALUE:
      // Handle a value
      String field = event.fieldName();
      if (field != null) {
        // In an object
      } else {
        // In an array or top level
        if (event.isString()) {

        } else {
          // ...
        }
      }
      break;
  }
});

The parser is non-blocking and emitted events are driven by the input buffers.

JsonParser parser = JsonParser.newParser();

// start array event
// start object event
// "firstName":"Bob" event
parser.handle(Buffer.buffer("[{\"firstName\":\"Bob\","));

// "lastName":"Morane" event
// end object event
parser.handle(Buffer.buffer("\"lastName\":\"Morane\"},"));

// start object event
// "firstName":"Luke" event
// "lastName":"Lucky" event
// end object event
parser.handle(Buffer.buffer("{\"firstName\":\"Luke\",\"lastName\":\"Lucky\"}"));

// end array event
parser.handle(Buffer.buffer("]"));

// Always call end
parser.end();

Event driven parsing provides more control but comes at the price of dealing with fine grained events, which can be inconvenient sometimes. The JSON parser allows you to handle JSON structures as values when it is desired:

JsonParser parser = JsonParser.newParser();

parser.objectValueMode();

parser.handler(event -> {
  switch (event.type()) {
    case START_ARRAY:
      // Start the array
      break;
    case END_ARRAY:
      // End the array
      break;
    case VALUE:
      // Handle each object
      break;
  }
});

parser.handle(Buffer.buffer("[{\"firstName\":\"Bob\"},\"lastName\":\"Morane\"),...]"));
parser.end();

The value mode can be set and unset during the parsing allowing you to switch between fine grained events or JSON object value events.

JsonParser parser = JsonParser.newParser();

parser.handler(event -> {
  // Start the object

  switch (event.type()) {
    case START_OBJECT:
      // Set object value mode to handle each entry, from now on the parser won't emit start object events
      parser.objectValueMode();
      break;
    case VALUE:
      // Handle each object
      // Get the field in which this object was parsed
      String id = event.fieldName();
      System.out.println("User with id " + id + " : " + event.value());
      break;
    case END_OBJECT:
      // Set the object event mode so the parser emits start/end object events again
      parser.objectEventMode();
      break;
  }
});

parser.handle(Buffer.buffer("{\"39877483847\":{\"firstName\":\"Bob\"},\"lastName\":\"Morane\"),...}"));
parser.end();

You can do the same with arrays as well

JsonParser parser = JsonParser.newParser();

parser.handler(event -> {
  // Start the object

  switch (event.type()) {
    case START_OBJECT:
      // Set array value mode to handle each entry, from now on the parser won't emit start array events
      parser.arrayValueMode();
      break;
    case VALUE:
      // Handle each array
      // Get the field in which this object was parsed
      System.out.println("Value : " + event.value());
      break;
    case END_OBJECT:
      // Set the array event mode so the parser emits start/end object events again
      parser.arrayEventMode();
      break;
  }
});

parser.handle(Buffer.buffer("[0,1,2,3,4,...]"));
parser.end();

You can also decode POJOs

parser.handler(event -> {
  // Handle each object
  // Get the field in which this object was parsed
  String id = event.fieldName();
  User user = event.mapTo(User.class);
  System.out.println("User with id " + id + " : " + user.firstName + " " + user.lastName);
});

Whenever the parser fails to process a buffer, an exception will be thrown unless you set an exception handler:

JsonParser parser = JsonParser.newParser();

parser.exceptionHandler(err -> {
  // Catch any parsing or decoding error
});

The parser also parses json streams:

concatenated json streams: {"temperature":30}{"temperature":50}
line delimited json streams: {"an":"object"}\r\n3\r\n"a string"\r\nnull

For more details, check out the JsonParser class.

Thread safety

Most Vert.x objects are safe to access from different threads. However performance is optimised when they are accessed from the same context they were created from.

For example if you have deployed a verticle which creates a NetServer which provides NetSocket instances in it’s handler, then it’s best to always access that socket instance from the event loop of the verticle.

If you stick to the standard Vert.x verticle deployment model and avoid sharing objects between verticles then this should be the case without you having to think about it.

Running blocking code

In a perfect world, there will be no war or hunger, all APIs will be written asynchronously and bunny rabbits will skip hand-in-hand with baby lambs across sunny green meadows.

But… the real world is not like that. (Have you watched the news lately?)

Fact is, many, if not most libraries, especially in the JVM ecosystem have synchronous APIs and many of the methods are likely to block. A good example is the JDBC API - it’s inherently synchronous, and no matter how hard it tries, Vert.x cannot sprinkle magic pixie dust on it to make it asynchronous.

We’re not going to rewrite everything to be asynchronous overnight so we need to provide you a way to use "traditional" blocking APIs safely within a Vert.x application.

As discussed before, you can’t call blocking operations directly from an event loop, as that would prevent it from doing any other useful work. So how can you do this?

It’s done by calling executeBlocking with blocking code to execute, as return you get a future completed with the result of the blocking code execution.

vertx.executeBlocking(() -> {
  // Call some blocking API that takes a significant amount of time to return
  return someAPI.blockingMethod("hello");
}).onComplete(res -> {
  System.out.println("The result is: " + res.result());
});

Blocking code should block for a reasonable amount of time (i.e no more than a few seconds). Long blocking operations or polling operations (i.e a thread that spin in a loop polling events in a blocking fashion) are precluded. When the blocking operation lasts more than the 10 seconds, a message will be printed on the console by the blocked thread checker. Long blocking operations should use a dedicated thread managed by the application, which can interact with verticles using the event-bus or runOnContext

By default, if executeBlocking is called several times from the same context (e.g. the same verticle instance) then the different executeBlocking are executed serially (i.e. one after another).

If you don’t care about ordering you can call executeBlocking specifying false as the argument to ordered. In this case any executeBlocking may be executed in parallel on the worker pool.

An alternative way to run blocking code is to use a worker verticle

A worker verticle is always executed with a thread from the worker pool.

By default blocking code is executed on the Vert.x worker pool, configured with setWorkerPoolSize.

Additional pools can be created for different purposes:

WorkerExecutor executor = vertx.createSharedWorkerExecutor("my-worker-pool");
executor.executeBlocking(() -> {
  // Call some blocking API that takes a significant amount of time to return
  return someAPI.blockingMethod("hello");
}).onComplete(res -> {
  System.out.println("The result is: " + res.result());
});

The worker executor must be closed when it’s not necessary anymore:

executor.close();

When several workers are created with the same name, they will share the same pool. The worker pool is destroyed when all the worker executors using it are closed.

When an executor is created in a Verticle, Vert.x will close it automatically for you when the Verticle is undeployed.

Worker executors can be configured when created:

int poolSize = 10;

// 2 minutes
long maxExecuteTime = 2;
TimeUnit maxExecuteTimeUnit = TimeUnit.MINUTES;

WorkerExecutor executor = vertx.createSharedWorkerExecutor("my-worker-pool", poolSize, maxExecuteTime, maxExecuteTimeUnit);

the configuration is set when the worker pool is created

Metrics SPI

By default Vert.x does not record any metrics. Instead it provides an SPI for others to implement which can be added to the classpath. The metrics SPI is an advanced feature which allows implementers to capture events from Vert.x in order to gather metrics. For more information on this, please consult the API Documentation.

You can also specify a metrics factory programmatically if embedding Vert.x using setFactory.

The 'vertx' command line

The vertx command is used to interact with Vert.x from the command line. It’s main use is to run Vert.x verticles. To do this you need to download and install a Vert.x distribution, and add the bin directory of the installation to your PATH environment variable. Also make sure you have a Java JDK on your PATH.

Vert.x supports Java from 8 to 17.

The JDK is required to support on the fly compilation of Java code.

Run verticles

You can run raw Vert.x verticles directly from the command line using vertx run. Here is a couple of examples of the run command:

vertx run my-verticle.js                                 (1)
vertx run my-verticle.groovy                             (2)
vertx run my-verticle.rb                                 (3)

vertx run io.vertx.example.MyVerticle                    (4)
vertx run io.vertx.example.MVerticle -cp my-verticle.jar (5)

vertx run MyVerticle.java                                (6)

Deploys a JavaScript verticle
Deploys a Groovy verticle
Deploys a Ruby verticle
Deploys an already compiled Java verticle. Classpath root is the current directory
Deploys a verticle packaged in a Jar, the jar need to be in the classpath
Compiles the Java source and deploys it

As you can see in the case of Java, the name can either be the fully qualified class name of the verticle, or you can specify the Java Source file directly and Vert.x compiles it for you.

You can also prefix the verticle with the name of the language implementation to use. For example if the verticle is a compiled Groovy class, you prefix it with groovy: so that Vert.x knows it’s a Groovy class not a Java class.

vertx run groovy:io.vertx.example.MyGroovyVerticle

The vertx run command can take a few optional parameters, they are:

-options <options> - Provides the Vert.x options. options is the name of a JSON file that represents the Vert.x options, or a JSON string. This is optional.
-conf <config> - Provides some configuration to the verticle. config is the name of a JSON file that represents the configuration for the verticle, or a JSON string. This is optional.
-cp <path> - The path on which to search for the verticle and any other resources used by the verticle. This defaults to . (current directory). If your verticle references other scripts, classes or other resources (e.g. jar files) then make sure these are on this path. The path can contain multiple path entries separated by : (colon) or ; (semi-colon) depending on the operating system. Each path entry can be an absolute or relative path to a directory containing scripts, or absolute or relative filenames for jar or zip files. An example path might be -cp classes:lib/otherscripts:jars/myjar.jar:jars/otherjar.jar. Always use the path to reference any resources that your verticle requires. Do not put them on the system classpath as this can cause isolation issues between deployed verticles.
-instances <instances> - The number of instances of the verticle to instantiate. Each verticle instance is strictly single threaded so to scale your application across available cores you might want to deploy more than one instance. If omitted a single instance will be deployed.
-worker - This option determines whether the verticle is a worker verticle or not.
-cluster - This option determines whether the Vert.x instance will attempt to form a cluster with other Vert.x instances on the network. Clustering Vert.x instances allows Vert.x to form a distributed event bus with other nodes. Default is false (not clustered).
-cluster-port - If the cluster option has also been specified then this determines which port will be bound for cluster communication with other Vert.x instances. Default is 0 - which means 'choose a free random port'. You don’t usually need to specify this parameter unless you really need to bind to a specific port.
-cluster-host - If the cluster option has also been specified then this determines which host address will be bound for cluster communication with other Vert.x instances. If not set, the clustered eventbus tries to bind to the same host as the underlying cluster manager. As a last resort, an address will be picked among the available network interfaces.
-cluster-public-port - If the cluster option has also been specified then this determines which port will be advertised for cluster communication with other Vert.x instances. Default is -1, which means same as cluster-port.
-cluster-public-host - If the cluster option has also been specified then this determines which host address will be advertised for cluster communication with other Vert.x instances. If not specified, Vert.x uses the value of cluster-host.
-ha - if specified the verticle will be deployed as high availability (HA) deployment. See related section for more details
-quorum - used in conjunction with -ha. It specifies the minimum number of nodes in the cluster for any HA deploymentIDs to be active. Defaults to 0.
-hagroup - used in conjunction with -ha. It specifies the HA group this node will join. There can be multiple HA groups in a cluster. Nodes will only failover to other nodes in the same group. The default value is ` __DEFAULT__`

You can also set system properties using: -Dkey=value.

Here are some more examples:

Run a JavaScript verticle server.js with default settings

vertx run server.js

Run 10 instances of a pre-compiled Java verticle specifying classpath

vertx run com.acme.MyVerticle -cp "classes:lib/myjar.jar" -instances 10

Run 10 instances of a Java verticle by source file

vertx run MyVerticle.java -instances 10

Run 20 instances of a ruby worker verticle

vertx run order_worker.rb -instances 20 -worker

Run two JavaScript verticles on the same machine and let them cluster together with each other and any other servers on the network

vertx run handler.js -cluster
vertx run sender.js -cluster

Run a Ruby verticle passing it some config

vertx run my_verticle.rb -conf my_verticle.conf

Where my_verticle.conf might contain something like:

{
"name": "foo",
"num_widgets": 46
}

The config will be available inside the verticle via the core API.

When using the high-availability feature of vert.x you may want to create a bare instance of vert.x. This instance does not deploy any verticles when launched, but will receive a verticle if another node of the cluster dies. To create a bare instance, launch:

vertx bare

Depending on your cluster configuration, you may have to append the cluster-host and cluster-port parameters.

Executing a Vert.x application packaged as a fat jar

A fat jar is an executable jar embedding its dependencies. This means you don’t have to have Vert.x pre-installed on the machine on which you execute the jar. Like any executable Java jar it can be executed with.

java -jar my-application-fat.jar

There is nothing really Vert.x specific about this, you could do this with any Java application

You can either create your own main class and specify that in the manifest, but it’s recommended that you write your code as verticles and use the Vert.x Launcher class (io.vertx.core.Launcher) as your main class. This is the same main class used when running Vert.x at the command line and therefore allows you to specify command line arguments, such as -instances in order to scale your application more easily.

To deploy your verticle in a fatjar like this you must have a manifest with:

Main-Class set to io.vertx.core.Launcher
Main-Verticle specifying the main verticle (fully qualified class name or script file name)

You can also provide the usual command line arguments that you would pass to vertx run:

java -jar my-verticle-fat.jar -cluster -conf myconf.json
java -jar my-verticle-fat.jar -cluster -conf myconf.json -cp path/to/dir/conf/cluster_xml

Please consult the Maven/Gradle simplest and Maven/Gradle verticle examples in the examples repository for examples of building applications as fatjars.

A fat jar executes the run command, by default.

Displaying version of Vert.x

To display the vert.x version, just launch:

vertx version

Other commands

The vertx command line and the Launcher also provide other commands in addition to run and version:

You can create a bare instance using:

vertx bare
# or
java -jar my-verticle-fat.jar bare

You can also start an application in background using:

java -jar my-verticle-fat.jar start --vertx-id=my-app-name

If my-app-name is not set, a random id will be generated, and printed on the command prompt. You can pass run options to the start command:

java -jar my-verticle-fat.jar start —-vertx-id=my-app-name -cluster

Once launched in background, you can stop it with the stop command:

java -jar my-verticle-fat.jar stop my-app-name

You can also list the vert.x application launched in background using:

java -jar my-verticle-fat.jar list

The start, stop and list command are also available from the vertx tool. The start` command supports a couple of options:

vertx-id : the application id, uses a random UUID if not set
java-opts : the Java Virtual Machine options, uses the JAVA_OPTS environment variable if not set.
redirect-output : redirect the spawned process output and error streams to the parent process streams.

If option values contain spaces, don’t forget to wrap the value between "" (double-quotes).

As the start command spawns a new process, the java options passed to the JVM are not propagated, so you must use java-opts to configure the JVM (-X, -D…). If you use the CLASSPATH environment variable, be sure it contains all the required jars (vertx-core, your jars and all the dependencies).

The set of commands is extensible, refer to the Extending the vert.x Launcher section.

Live Redeploy

When developing it may be convenient to automatically redeploy your application upon file changes. The vertx command line tool and more generally the Launcher class offers this feature. Here are some examples:

vertx run MyVerticle.groovy --redeploy="**/*.groovy" --launcher-class=io.vertx.core.Launcher
vertx run MyVerticle.groovy --redeploy="**/*.groovy,**/*.rb"  --launcher-class=io.vertx.core.Launcher
java io.vertx.core.Launcher run org.acme.MyVerticle --redeploy="**/*.class"  --launcher-class=io.vertx.core
.Launcher -cp ...

The redeployment process is implemented as follows. First your application is launched as a background application (with the start command). On matching file changes, the process is stopped and the application is restarted. This avoids leaks, as the process is restarted.

To enable the live redeploy, pass the --redeploy option to the run command. The --redeploy indicates the set of file to watch. This set can use Ant-style patterns (with **, * and ?). You can specify several sets by separating them using a comma (,). Patterns are relative to the current working directory.

Parameters passed to the run command are passed to the application. Java Virtual Machine options can be configured using --java-opts. For instance, to pass the conf parameter or a system property, you need to use: --java-opts="-conf=my-conf.json -Dkey=value"

The --launcher-class option determine with with main class the application is launcher. It’s generally Launcher, but you have use you own main.

The redeploy feature can be used in your IDE:

Eclipse - create a Run configuration, using the io.vertx.core.Launcher class a main class. In the Program arguments area (in the Arguments tab), write run your-verticle-fully-qualified-name --redeploy=**/*.java --launcher-class=io.vertx.core.Launcher. You can also add other parameters. The redeployment works smoothly as Eclipse incrementally compiles your files on save.
IntelliJ - create a Run configuration (Application), set the Main class to io.vertx.core.Launcher. In the Program arguments write: run your-verticle-fully-qualified-name --redeploy=**/*.class --launcher-class=io.vertx.core.Launcher. To trigger the redeployment, you need to make the project or the module explicitly (Build menu → Make project).

To debug your application, create your run configuration as a remote application and configure the debugger using --java-opts. However, don’t forget to re-plug the debugger after every redeployment as a new process is created every time.

You can also hook your build process in the redeploy cycle:

java -jar target/my-fat-jar.jar --redeploy="**/*.java" --on-redeploy="mvn package"
java -jar build/libs/my-fat-jar.jar --redeploy="src/**/*.java" --on-redeploy='./gradlew shadowJar'

The "on-redeploy" option specifies a command invoked after the shutdown of the application and before the restart. So you can hook your build tool if it updates some runtime artifacts. For instance, you can launch gulp or grunt to update your resources. Don’t forget that passing parameters to your application requires the --java-opts param:

java -jar target/my-fat-jar.jar --redeploy="**/*.java" --on-redeploy="mvn package" --java-opts="-Dkey=val"
java -jar build/libs/my-fat-jar.jar --redeploy="src/**/*.java" --on-redeploy='./gradlew shadowJar' --java-opts="-Dkey=val"

The redeploy feature also supports the following settings:

redeploy-scan-period : the file system check period (in milliseconds), 250ms by default
redeploy-grace-period : the amount of time (in milliseconds) to wait between 2 re-deployments, 1000ms by default
redeploy-termination-period : the amount of time to wait after having stopped the application (before launching user command). This is useful on Windows, where the process is not killed immediately. The time is given in milliseconds. 0 ms by default.

Cluster Managers

In Vert.x a cluster manager is used for various functions including:

Discovery and group membership of Vert.x nodes in a cluster
Maintaining cluster wide topic subscriber lists (so we know which nodes are interested in which event bus addresses)
Distributed Map support
Distributed Locks
Distributed Counters

Cluster managers do not handle the event bus inter-node transport, this is done directly by Vert.x with TCP connections.

The default cluster manager used in the Vert.x distributions is one that uses Hazelcast but this can be easily replaced by a different implementation as Vert.x cluster managers are pluggable.

A cluster manager must implement the interface ClusterManager. Vert.x locates cluster managers at run-time by using the Java Service Loader functionality to locate instances of ClusterManager on the classpath.

If you are using Vert.x at the command line and you want to use clustering you should make sure the lib directory of the Vert.x installation contains your cluster manager jar.

If you are using Vert.x from a Maven or Gradle project just add the cluster manager jar as a dependency of your project.

You can also specify cluster managers programmatically if embedding Vert.x using setClusterManager.

Logging

Vert.x logs using its internal logging API and supports various logging backends.

The logging backend is selected as follows:

the backend denoted by the vertx.logger-delegate-factory-class-name system property if present or,
JDK logging when a vertx-default-jul-logging.properties file is in the classpath or,
a backend present in the classpath, in the following order of preference:
1. SLF4J
2. Log4J2

Otherwise Vert.x defaults to JDK logging.

Configuring with the system property

Set the vertx.logger-delegate-factory-class-name system property to:

io.vertx.core.logging.SLF4JLogDelegateFactory for SLF4J or,
io.vertx.core.logging.Log4j2LogDelegateFactory for Log4J2 or,
io.vertx.core.logging.JULLogDelegateFactory for JDK logging

Automatic configuration

When no vertx.logger-delegate-factory-class-name system property is set, Vert.x will try to find the most appropriate logger:

use SLF4J when available on the classpath with an actual implementation (i.e. LoggerFactory.getILoggerFactory() is not an instance of NOPLoggerFactory)
otherwise use Log4j2 when available on the classpath
otherwise use JUL

Configuring JUL logging

A JUL logging configuration file can be specified in the normal JUL way, by providing a system property named java.util.logging.config.file with the value being your configuration file. For more information on this and the structure of a JUL config file please consult the JDK logging documentation.

Vert.x also provides a slightly more convenient way to specify a configuration file without having to set a system property. Just provide a JUL config file with the name vertx-default-jul-logging.properties on your classpath (e.g. inside your fatjar) and Vert.x will use that to configure JUL.

Netty logging

Netty does not rely on external logging configuration (e.g system properties). Instead, it implements a logging configuration based on the logging libraries visible from the Netty classes:

use SLF4J library if it is visible
otherwise use Log4j if it is visible
otherwise use Log4j2 if it is visible
otherwise fallback to java.util.logging

The eagle eyes among you might have noticed that Vert.x follows the same order of preference.

The logger implementation can be forced to a specific implementation by setting Netty’s internal logger implementation directly on io.netty.util.internal.logging.InternalLoggerFactory:

// Force logging to Log4j 2
InternalLoggerFactory.setDefaultFactory(Log4J2LoggerFactory.INSTANCE);

Troubleshooting

SLF4J warning at startup

If, when you start your application, you see the following message:

SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

It means that you have SLF4J-API in your classpath but no actual binding. Messages logged with SLF4J will be dropped. You should add a binding to your classpath. Check https://www.slf4j.org/manual.html#swapping to pick a binding and configure it.

Be aware that Netty looks for the SLF4-API jar and uses it by default.

Connection reset by peer

If your logs show a bunch of:

io.vertx.core.net.impl.ConnectionBase
SEVERE: java.io.IOException: Connection reset by peer

It means that the client is resetting the HTTP connection instead of closing it. This message also indicates that you may have not consumed the complete payload (the connection was cut before you were able to).

Host name resolution

Vert.x uses an an address resolver for resolving host name into IP addresses instead of the JVM built-in blocking resolver.

An host name resolves to an IP address using:

the hosts file of the operating system
otherwise DNS queries against a list of servers

By default it will use the list of the system DNS server addresses from the environment, if that list cannot be retrieved it will use Google’s public DNS servers "8.8.8.8" and "8.8.4.4".

DNS servers can be also configured when creating a Vertx instance:

Vertx vertx = Vertx.vertx(new VertxOptions().
    setAddressResolverOptions(
        new AddressResolverOptions().
            addServer("192.168.0.1").
            addServer("192.168.0.2:40000"))
);

The default port of a DNS server is 53, when a server uses a different port, this port can be set using a colon delimiter: 192.168.0.2:40000.

sometimes it can be desirable to use the JVM built-in resolver, the JVM system property -Dvertx.disableDnsResolver=true activates this behavior

Failover

When a server does not reply in a timely manner, the resolver will try the next one from the list, the search is limited by setMaxQueries (the default value is 4 queries).

A DNS query is considered as failed when the resolver has not received a correct answer within getQueryTimeout milliseconds (the default value is 5 seconds).

Server list rotation

By default the dns server selection uses the first one, the remaining servers are used for failover.

You can configure setRotateServers to true to let the resolver perform a round-robin selection instead. It spreads the query load among the servers and avoids all lookup to hit the first server of the list.

Failover still applies and will use the next server in the list.

Hosts mapping

The hosts file of the operating system is used to perform an hostname lookup for an ipaddress.

An alternative hosts file can be used instead:

Vertx vertx = Vertx.vertx(new VertxOptions().
    setAddressResolverOptions(
        new AddressResolverOptions().
            setHostsPath("/path/to/hosts"))
);

Search domains

By default the resolver will use the system DNS search domains from the environment. Alternatively an explicit search domain list can be provided:

Vertx vertx = Vertx.vertx(new VertxOptions().
    setAddressResolverOptions(
        new AddressResolverOptions().addSearchDomain("foo.com").addSearchDomain("bar.com"))
);

When a search domain list is used, the threshold for the number of dots is 1 or loaded from /etc/resolv.conf on Linux, it can be configured to a specific value with setNdots.

MacOS configuration

MacOS has a specific native extension to get the name server configuration of the system based on <a href="https://opensource.apple.com/tarballs/mDNSResponder/">Apple’s open source mDNSResponder</a>. When this extension is not present, Netty logs the following warning.

[main] WARN io.netty.resolver.dns.DnsServerAddressStreamProviders - Can not find io.netty.resolver.dns.macos.MacOSDnsServerAddressStreamProvider in the classpath, fallback to system defaults. This may result in incorrect DNS resolutions on MacOS.

This extension is not required as its absence does not prevent Vert.x to execute, yet is recommended.

You can use add it to your classpath to improve the integration and remove the warning.

Intel-based Mac

<profile>
 <id>mac-intel</id>
 <activation>
   <os>
     <family>mac</family>
     <arch>x86_64</arch>
   </os>
 </activation>
 <dependencies>
   <dependency>
     <groupId>io.netty</groupId>
     <artifactId>netty-resolver-dns-native-macos</artifactId>
     <classifier>osx-x86_64</classifier>
     <!--<version>Should align with netty version that Vert.x uses</version>-->
   </dependency>
 </dependencies>
</profile>

M1/M2 Mac

<profile>
 <id>mac-silicon</id>
 <activation>
   <os>
     <family>mac</family>
     <arch>aarch64</arch>
   </os>
 </activation>
 <dependencies>
   <dependency>
     <groupId>io.netty</groupId>
     <artifactId>netty-resolver-dns-native-macos</artifactId>
     <classifier>osx-aarch_64</classifier>
     <!--<version>Should align with netty version that Vert.x uses</version>-->
   </dependency>
 </dependencies>
</profile>

High Availability and Fail-Over

Vert.x allows you to run your verticles with high availability (HA) support. In that case, when a vert.x instance running a verticle dies abruptly, the verticle is migrated to another vertx instance. The vert.x instances must be in the same cluster.

Automatic failover

When vert.x runs with HA enabled, if a vert.x instance where a verticle runs fails or dies, the verticle is redeployed automatically on another vert.x instance of the cluster. We call this verticle fail-over.

To run vert.x with the HA enabled, just add the -ha flag to the command line:

vertx run my-verticle.js -ha

Now for HA to work, you need more than one Vert.x instances in the cluster, so let’s say you have another Vert.x instance that you have already started, for example:

vertx run my-other-verticle.js -ha

If the Vert.x instance that is running my-verticle.js now dies (you can test this by killing the process with kill -9), the Vert.x instance that is running my-other-verticle.js will automatic deploy my-verticle .js so now that Vert.x instance is running both verticles.

the migration is only possible if the second vert.x instance has access to the verticle file (here my-verticle.js).

Please note that cleanly closing a Vert.x instance will not cause failover to occur, e.g. CTRL-C or kill -SIGINT

You can also start bare Vert.x instances - i.e. instances that are not initially running any verticles, they will also failover for nodes in the cluster. To start a bare instance you simply do:

vertx run -ha

When using the -ha switch you do not need to provide the -cluster switch, as a cluster is assumed if you want HA.

depending on your cluster configuration, you may need to customize the cluster manager configuration (Hazelcast by default), and/or add the cluster-host and cluster-port parameters.

HA groups

When running a Vert.x instance with HA you can also optional specify a HA group. A HA group denotes a logical group of nodes in the cluster. Only nodes with the same HA group will failover onto one another. If you don’t specify a HA group the default group __DEFAULT__ is used.

To specify an HA group you use the -hagroup switch when running the verticle, e.g.

vertx run my-verticle.js -ha -hagroup my-group

Let’s look at an example:

In a first terminal:

vertx run my-verticle.js -ha -hagroup g1

In a second terminal, let’s run another verticle using the same group:

vertx run my-other-verticle.js -ha -hagroup g1

Finally, in a third terminal, launch another verticle using a different group:

vertx run yet-another-verticle.js -ha -hagroup g2

If we kill the instance in terminal 1, it will fail over to the instance in terminal 2, not the instance in terminal 3 as that has a different group.

If we kill the instance in terminal 3, it won’t get failed over as there is no other vert.x instance in that group.

Dealing with network partitions - Quorum

The HA implementation also supports quorum. A quorum is the minimum number of votes that a distributed transaction has to obtain in order to be allowed to perform an operation in a distributed system.

When starting a Vert.x instance you can instruct it that it requires a quorum before any HA deployments will be deployed. In this context, a quorum is a minimum number of nodes for a particular group in the cluster. Typically you chose your quorum size to Q = 1 + N/2 where N is the number of nodes in the group. If there are less than Q nodes in the cluster the HA deployments will undeploy. They will redeploy again if/when a quorum is re-attained. By doing this you can prevent against network partitions, a.k.a. split brain.

There is more information on quorum here.

To run vert.x instances with a quorum you specify -quorum on the command line, e.g.

In a first terminal:

vertx run my-verticle.js -ha -quorum 3

At this point the Vert.x instance will start but not deploy the module (yet) because there is only one node in the cluster, not 3.

In a second terminal:

vertx run my-other-verticle.js -ha -quorum 3

At this point the Vert.x instance will start but not deploy the module (yet) because there are only two nodes in the cluster, not 3.

In a third console, you can start another instance of vert.x:

vertx run yet-another-verticle.js -ha -quorum 3

Yay! - we have three nodes, that’s a quorum. At this point the modules will automatically deploy on all instances.

If we now close or kill one of the nodes the modules will automatically undeploy on the other nodes, as there is no longer a quorum.

Quorum can also be used in conjunction with ha groups. In that case, quorum are resolved for each particular group.

Native transports

Vert.x can run with native transports (when available) on BSD (OSX) and Linux:

Vertx vertx = Vertx.vertx(new VertxOptions().
  setPreferNativeTransport(true)
);

// True when native is available
boolean usingNative = vertx.isNativeTransportEnabled();
System.out.println("Running with native: " + usingNative);

preferring native transport will not prevent the application to execute (for example if a JAR is missing). If your application requires native transport, you need to check isNativeTransportEnabled.

Native Linux Transport

You need to add the following dependency in your classpath:

<dependency>
 <groupId>io.netty</groupId>
 <artifactId>netty-transport-native-epoll</artifactId>
 <classifier>linux-x86_64</classifier>
 <!--<version>Should align with netty version that Vert.x uses</version>-->
</dependency>

Native on Linux gives you extra networking options:

SO_REUSEPORT
TCP_QUICKACK
TCP_CORK
TCP_FASTOPEN
TCP_USER_TIMEOUT

vertx.createHttpServer(new HttpServerOptions()
  .setTcpFastOpen(fastOpen)
  .setTcpCork(cork)
  .setTcpQuickAck(quickAck)
  .setReusePort(reusePort)
);

Native BSD Transport

You need to add the following dependency in your classpath:

Intel-based Mac

<dependency>
 <groupId>io.netty</groupId>
 <artifactId>netty-transport-native-kqueue</artifactId>
 <classifier>osx-x86_64</classifier>
 <!--<version>Should align with netty version that Vert.x uses</version>-->
</dependency>

M1/M2 Mac

<dependency>
<groupId>io.netty</groupId>
<artifactId>netty-transport-native-kqueue</artifactId>
<classifier>osx-aarch_64</classifier>
<!--<version>Should align with netty version that Vert.x uses</version>-->
</dependency>

MacOS Sierra and above are supported.

Native on BSD gives you extra networking options:

SO_REUSEPORT

vertx.createHttpServer(new HttpServerOptions().setReusePort(reusePort));

Domain sockets

Natives provide domain sockets support for servers:

vertx.createNetServer().connectHandler(so -> {
  // Handle application
}).listen(SocketAddress.domainSocketAddress("/var/tmp/myservice.sock"));

or for http:

vertx.createHttpServer()
  .requestHandler(req -> {
    // Handle application
  })
  .listen(SocketAddress.domainSocketAddress("/var/tmp/myservice.sock"))
  .onComplete(ar -> {
    if (ar.succeeded()) {
      // Bound to socket
    } else {
      ar.cause().printStackTrace();
    }
  });

As well as clients:

NetClient netClient = vertx.createNetClient();

// Only available on BSD and Linux
SocketAddress addr = SocketAddress.domainSocketAddress("/var/tmp/myservice.sock");

// Connect to the server
netClient
  .connect(addr)
  .onComplete(ar -> {
    if (ar.succeeded()) {
      // Connected
    } else {
      ar.cause().printStackTrace();
    }
  });

or for http:

HttpClient httpClient = vertx.createHttpClient();

// Only available on BSD and Linux
SocketAddress addr = SocketAddress.domainSocketAddress("/var/tmp/myservice.sock");

// Send request to the server
httpClient.request(new RequestOptions()
  .setServer(addr)
  .setHost("localhost")
  .setPort(8080)
  .setURI("/"))
  .onSuccess(request -> {
    request.send().onComplete(response -> {
      // Process response
    });
  });

Security notes

Vert.x is a toolkit, not an opinionated framework where we force you to do things in a certain way. This gives you great power as a developer but with that comes great responsibility.

As with any toolkit, it’s possible to write insecure applications, so you should always be careful when developing your application especially if it’s exposed to the public (e.g. over the internet).

Web applications

If writing a web application it’s highly recommended that you use Vert.x-Web instead of Vert.x core directly for serving resources and handling file uploads.

Vert.x-Web normalises the path in requests to prevent malicious clients from crafting URLs to access resources outside of the web root.

Similarly for file uploads Vert.x-Web provides functionality for uploading to a known place on disk and does not rely on the filename provided by the client in the upload which could be crafted to upload to a different place on disk.

Vert.x core itself does not provide such checks so it would be up to you as a developer to implement them yourself.

Clustered event bus traffic

When clustering the event bus between different Vert.x nodes on a network, the traffic is sent un-encrypted across the wire, so do not use this if you have confidential data to send and your Vert.x nodes are not on a trusted network.

Standard security best practices

Any service can have potentially vulnerabilities whether it’s written using Vert.x or any other toolkit so always follow security best practice, especially if your service is public facing.

For example you should always run them in a DMZ and with an user account that has limited rights in order to limit the extent of damage in case the service was compromised.

Vert.x Command Line Interface API

Vert.x Core provides an API for parsing command line arguments passed to programs. It’s also able to print help messages detailing the options available for a command line tool. Even if such features are far from the Vert.x core topics, this API is used in the Launcher class that you can use in fat-jar and in the vertx command line tools. In addition, it’s polyglot (can be used from any supported language) and is used in Vert.x Shell.

Vert.x CLI provides a model to describe your command line interface, but also a parser. This parser supports different types of syntax:

POSIX like options (ie. tar -zxvf foo.tar.gz)
GNU like long options (ie. du --human-readable --max-depth=1)
Java like properties (ie. java -Djava.awt.headless=true -Djava.net.useSystemProxies=true Foo)
Short options with value attached (ie. gcc -O2 foo.c)
Long options with single hyphen (ie. ant -projecthelp)

Using the CLI api is a 3-steps process:

The definition of the command line interface
The parsing of the user command line
The query / interrogation

Definition Stage

Each command line interface must define the set of options and arguments that will be used. It also requires a name. The CLI API uses the Option and Argument classes to describe options and arguments:

CLI cli = CLI.create("copy")
    .setSummary("A command line interface to copy files.")
    .addOption(new Option()
        .setLongName("directory")
        .setShortName("R")
        .setDescription("enables directory support")
        .setFlag(true))
    .addArgument(new Argument()
        .setIndex(0)
        .setDescription("The source")
        .setArgName("source"))
    .addArgument(new Argument()
        .setIndex(1)
        .setDescription("The destination")
        .setArgName("target"));

As you can see, you can create a new CLI using CLI.create. The passed string is the name of the CLI. Once created you can set the summary and description. The summary is intended to be short (one line), while the description can contain more details. Each option and argument are also added on the CLI object using the addArgument and addOption methods.

Options

An Option is a command line parameter identified by a key present in the user command line. Options must have at least a long name or a short name. Long name are generally used using a -- prefix, while short names are used with a single -. Names are case-sensitive; however, case-insensitive name matching will be used during the Query / Interrogation Stage if no exact match is found. Options can get a description displayed in the usage (see below). Options can receive 0, 1 or several values. An option receiving 0 values is a flag, and must be declared using setFlag. By default, options receive a single value, however, you can configure the option to receive several values using setMultiValued:

CLI cli = CLI.create("some-name")
    .setSummary("A command line interface illustrating the options valuation.")
    .addOption(new Option()
        .setLongName("flag").setShortName("f").setFlag(true).setDescription("a flag"))
    .addOption(new Option()
        .setLongName("single").setShortName("s").setDescription("a single-valued option"))
    .addOption(new Option()
        .setLongName("multiple").setShortName("m").setMultiValued(true)
        .setDescription("a multi-valued option"));

Options can be marked as mandatory. A mandatory option not set in the user command line throws an exception during the parsing:

CLI cli = CLI.create("some-name")
    .addOption(new Option()
        .setLongName("mandatory")
        .setRequired(true)
        .setDescription("a mandatory option"));

Non-mandatory options can have a default value. This value would be used if the user does not set the option in the command line:

CLI cli = CLI.create("some-name")
    .addOption(new Option()
        .setLongName("optional")
        .setDefaultValue("hello")
        .setDescription("an optional option with a default value"));

An option can be hidden using the setHidden method. Hidden option are not listed in the usage, but can still be used in the user command line (for power-users).

If the option value is constrained to a fixed set, you can set the different acceptable choices:

CLI cli = CLI.create("some-name")
    .addOption(new Option()
        .setLongName("color")
        .setDefaultValue("green")
        .addChoice("blue").addChoice("red").addChoice("green")
        .setDescription("a color"));

Options can also be instantiated from their JSON form.

Arguments

Unlike options, arguments do not have a key and are identified by their index. For example, in java com.acme.Foo, com.acme.Foo is an argument.

Arguments do not have a name, there are identified using a 0-based index. The first parameter has the index 0:

CLI cli = CLI.create("some-name")
    .addArgument(new Argument()
        .setIndex(0)
        .setDescription("the first argument")
        .setArgName("arg1"))
    .addArgument(new Argument()
        .setIndex(1)
        .setDescription("the second argument")
        .setArgName("arg2"));

If you don’t set the argument indexes, it computes it automatically by using the declaration order.

CLI cli = CLI.create("some-name")
    // will have the index 0
    .addArgument(new Argument()
        .setDescription("the first argument")
        .setArgName("arg1"))
    // will have the index 1
    .addArgument(new Argument()
        .setDescription("the second argument")
        .setArgName("arg2"));

The argName is optional and used in the usage message.

As options, Argument can:

be hidden using setHidden
be mandatory using setRequired
have a default value using setDefaultValue
receive several values using setMultiValued - only the last argument can be multi-valued.

Arguments can also be instantiated from their JSON form.

Usage generation

Once your CLI instance is configured, you can generate the usage message:

CLI cli = CLI.create("copy")
    .setSummary("A command line interface to copy files.")
    .addOption(new Option()
        .setLongName("directory")
        .setShortName("R")
        .setDescription("enables directory support")
        .setFlag(true))
    .addArgument(new Argument()
        .setIndex(0)
        .setDescription("The source")
        .setArgName("source"))
    .addArgument(new Argument()
        .setIndex(0)
        .setDescription("The destination")
        .setArgName("target"));

StringBuilder builder = new StringBuilder();
cli.usage(builder);

It generates a usage message like this one:

Usage: copy [-R] source target

A command line interface to copy files.

 -R,--directory   enables directory support

If you need to tune the usage message, check the UsageMessageFormatter class.

Parsing Stage

Once your CLI instance is configured, you can parse the user command line to evaluate each option and argument:

CommandLine commandLine = cli.parse(userCommandLineArguments);

The parse method returns a CommandLine object containing the values. By default, it validates the user command line and checks that each mandatory options and arguments have been set as well as the number of values received by each option. You can disable the validation by passing false as second parameter of parse. This is useful if you want to check an argument or option is present even if the parsed command line is invalid.

You can check whether or not the CommandLine is valid using isValid.

Query / Interrogation Stage

Once parsed, you can retrieve the values of the options and arguments from the CommandLine object returned by the parse method:

CommandLine commandLine = cli.parse(userCommandLineArguments);
String opt = commandLine.getOptionValue("my-option");
boolean flag = commandLine.isFlagEnabled("my-flag");
String arg0 = commandLine.getArgumentValue(0);

One of your options can be marked as "help". If a user command line enabled a "help" option, the validation won’t fail, but you have the opportunity to check if the user asks for help:

CLI cli = CLI.create("test")
    .addOption(
        new Option().setLongName("help").setShortName("h").setFlag(true).setHelp(true))
    .addOption(
        new Option().setLongName("mandatory").setRequired(true));

CommandLine line = cli.parse(Collections.singletonList("-h"));

// The parsing does not fail and let you do:
if (!line.isValid() && line.isAskingForHelp()) {
  StringBuilder builder = new StringBuilder();
  cli.usage(builder);
  stream.print(builder.toString());
}

Typed options and arguments

The described Option and Argument classes are untyped, meaning that the only get String values. TypedOption and TypedArgument let you specify a type, so the (String) raw value is converted to the specified type.

Instead of Option and Argument, use TypedOption and TypedArgument in the CLI definition:

CLI cli = CLI.create("copy")
    .setSummary("A command line interface to copy files.")
    .addOption(new TypedOption<Boolean>()
        .setType(Boolean.class)
        .setLongName("directory")
        .setShortName("R")
        .setDescription("enables directory support")
        .setFlag(true))
    .addArgument(new TypedArgument<File>()
        .setType(File.class)
        .setIndex(0)
        .setDescription("The source")
        .setArgName("source"))
    .addArgument(new TypedArgument<File>()
        .setType(File.class)
        .setIndex(0)
        .setDescription("The destination")
        .setArgName("target"));

Then you can retrieve the converted values as follows:

CommandLine commandLine = cli.parse(userCommandLineArguments);
boolean flag = commandLine.getOptionValue("R");
File source = commandLine.getArgumentValue("source");
File target = commandLine.getArgumentValue("target");

The vert.x CLI is able to convert to classes:

having a constructor with a single String argument, such as File or JsonObject
with a static from or fromString method
with a static valueOf method, such as primitive types and enumeration

In addition, you can implement your own Converter and instruct the CLI to use this converter:

CLI cli = CLI.create("some-name")
    .addOption(new TypedOption<Person>()
        .setType(Person.class)
        .setConverter(new PersonConverter())
        .setLongName("person"));

For booleans, the boolean values are evaluated to true: on, yes, 1, true.

If one of your option has an enum as type, it computes the set of choices automatically.

Using annotations

You can also define your CLI using annotations. Definition is done using annotation on the class and on setter methods:

@Name("some-name")
@Summary("some short summary.")
@Description("some long description")
public class AnnotatedCli {

 private boolean flag;
 private String name;
 private String arg;

@Option(shortName = "f", flag = true)
public void setFlag(boolean flag) {
  this.flag = flag;
}

@Option(longName = "name")
public void setName(String name) {
  this.name = name;
}

@Argument(index = 0)
public void setArg(String arg) {
 this.arg = arg;
}
}

Once annotated, you can define the CLI and inject the values using:

CLI cli = CLI.create(AnnotatedCli.class);
CommandLine commandLine = cli.parse(userCommandLineArguments);
AnnotatedCli instance = new AnnotatedCli();
CLIConfigurator.inject(commandLine, instance);

The vert.x Launcher

The vert.x Launcher is used in fat jar as main class, and by the vertx command line utility. It executes a set of commands such as run, bare, start…

Extending the vert.x Launcher

You can extend the set of command by implementing your own Command (in Java only):

@Name("my-command")
@Summary("A simple hello command.")
public class MyCommand extends DefaultCommand {

 private String name;

 @Option(longName = "name", required = true)
 public void setName(String n) {
   this.name = n;
 }

 @Override
 public void run() throws CLIException {
   System.out.println("Hello " + name);
 }
}

You also need an implementation of CommandFactory:

public class HelloCommandFactory extends DefaultCommandFactory<HelloCommand> {
 public HelloCommandFactory() {
  super(HelloCommand.class);
 }
}

Then, create the src/main/resources/META-INF/services/io.vertx.core.spi.launcher.CommandFactory and add a line indicating the fully qualified name of the factory:

io.vertx.core.launcher.example.HelloCommandFactory

Builds the jar containing the command. Be sure to includes the SPI file (META-INF/services/io.vertx.core.spi.launcher.CommandFactory).

Then, place the jar containing the command into the classpath of your fat-jar (or include it inside) or in the lib directory of your vert.x distribution, and you would be able to execute:

vertx hello vert.x
java -jar my-fat-jar.jar hello vert.x

Using the Launcher in fat jars

To use the Launcher class in a fat-jar just set the Main-Class of the MANIFEST to io.vertx.core.Launcher. In addition, set the Main-Verticle MANIFEST entry to the name of your main verticle.

By default, it executed the run command. However, you can configure the default command by setting the Main-Command MANIFEST entry. The default command is used if the fat jar is launched without a command.

Sub-classing the Launcher

You can also create a sub-class of Launcher to start your application. The class has been designed to be easily extensible.

A Launcher sub-class can:

customize the vert.x configuration in beforeStartingVertx
retrieve the vert.x instance created by the "run" or "bare" command by overriding afterStartingVertx
configure the default verticle and command with getMainVerticle and getDefaultCommand
add / remove commands using register and unregister

Launcher and exit code

When you use the Launcher class as main class, it uses the following exit code:

0 if the process ends smoothly, or if an uncaught error is thrown
1 for general purpose error
11 if Vert.x cannot be initialized
12 if a spawn process cannot be started, found or stopped. This error code is used by the start and stop command
14 if the system configuration is not meeting the system requirement (shc as java not found)
15 if the main verticle cannot be deployed

Configuring Vert.x cache

When Vert.x needs to read a file from the classpath (embedded in a fat jar, in a jar form the classpath or a file that is on the classpath), it copies it to a cache directory. The reason behind this is simple: reading a file from a jar or from an input stream is blocking. So to avoid to pay the price every time, Vert.x copies the file to its cache directory and reads it from there every subsequent read. This behavior can be configured.

First, by default, Vert.x uses $CWD/.vertx as cache directory. It creates a unique directory inside this one to avoid conflicts. This location can be configured by using the vertx.cacheDirBase system property. For instance if the current working directory is not writable (such as in an immutable container context), launch your application with:

vertx run my.Verticle -Dvertx.cacheDirBase=/tmp/vertx-cache
# or
java -jar my-fat.jar vertx.cacheDirBase=/tmp/vertx-cache

the directory must be writable.

When you are editing resources such as HTML, CSS or JavaScript, this cache mechanism can be annoying as it serves only the first version of the file (and so you won’t see your edits if you reload your page). To avoid this behavior, launch your application with -Dvertx.disableFileCaching=true. With this setting, Vert.x still uses the cache, but always refresh the version stored in the cache with the original source. So if you edit a file served from the classpath and refresh your browser, Vert.x reads it from the classpath, copies it to the cache directory and serves it from there. Do not use this setting in production, it can kill your performances.

Finally, you can disable completely the cache by using -Dvertx.disableFileCPResolving=true. This setting is not without consequences. Vert.x would be unable to read any files from the classpath (only from the file system). Be very careful when using this settings.

FAQ

Vert.x io_uring