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AMQP-CPP is a C++ library for communicating with a RabbitMQ message broker. The library can be used to parse incoming data from a RabbitMQ server, and to generate frames that can be sent to a RabbitMQ server.
This library has a layered architecture, and allows you - if you like - to completely take care of the network layer. If you want to set up and manage the network connections yourself, the AMQP-CPP library will not make a connection to RabbitMQ by itself, nor will it create sockets and/or perform IO operations. As a user of this library, you create the socket connection and implement a certain interface that you pass to the AMQP-CPP library and that the library will use for IO operations.
Intercepting this network layer is however optional, the AMQP-CPP library also comes with a predefined TCP and TLS module that can be used if you trust the AMQP library to take care of the network (and optional TLS) handling. In that case, the AMQP-CPP library does all the system and library calls to set up network connections and send and receive the (possibly encrypted) data.
This layered architecture makes the library extremely flexible and portable: it does not necessarily rely on operating system specific IO calls, and can be easily integrated into any kind of event loop. If you want to implement the AMQP protocol on top of some unusual other communication layer, this library can be used for that - but if you want to use it with regular TCP connections, setting it up is just as easy.
AMQP-CPP is fully asynchronous and does not do any blocking (system) calls, so it can be used in high performance applications without the need for threads.
The AMQP-CPP library uses C++11 features, so if you intend to use it, please make sure that your compiler is up-to-date and supports C++11.
Note for the reader: This readme file has a peculiar structure. We start explaining the pure and hard core low level interface in which you have to take care of opening socket connections yourself. In reality, you probably want to use the simpler TCP interface that is being described later on.
This library is created and maintained by Copernica (www.copernica.com), and is used inside the MailerQ (www.mailerq.com) and Yothalot (www.yothalot.com) applications. MailerQ is a tool for sending large volumes of email, using AMQP message queues, and Yothalot is a big data processing map/reduce framework.
Do you appreciate our work and are you looking for high quality email solutions? Then check out our other commercial and open source solutions:
AMQP-CPP comes with an optional Linux-only TCP module that takes care of the
network part required for the AMQP-CPP core library. If you use this module, you
are required to link with pthread and dl.
There are two methods to compile AMQP-CPP: CMake and Make. CMake is platform portable and works on all systems, while the Makefile only works on Linux. The two methods create both a shared and a static version of the AMQP-CPP library. Building of a shared library is currently not supported on Windows.
After building there are two relevant files to #include when you use the library.
| File | Include when? |
|---|---|
| amqpcpp.h | Always needed for the core features |
| amqpcpp/linux_tcp.h | If using the Linux-only TCP module |
On Windows you are required to define NOMINMAX when compiling code that includes public AMQP-CPP header files.
The CMake file supports both building and installing. You can choose not to use
the install functionality, and instead manually use the build output at build/bin/. Keep
in mind that the TCP module is only supported for Linux. An example install method
would be:
mkdir build
cd build
cmake .. [-DAMQP-CPP_BUILD_SHARED] [-DAMQP-CPP_LINUX_TCP]
cmake --build . --target install
| Option | Default | Meaning |
|---|---|---|
| AMQP-CPP_BUILD_SHARED | OFF | Static lib(ON) or shared lib(OFF)? Shared is not supported on Windows. |
| AMQP-CPP_LINUX_TCP | OFF | Should the Linux-only TCP module be built? |
Compiling and installing AMQP-CPP with make is as easy as running make and
then make install. This will install the full version of AMQP-CPP, including
the system specific TCP module. If you do not need the additional TCP module
(because you take care of handling the network stuff yourself), you can also
compile a pure form of the library. Use make pure and make install for that.
When you compile an application that uses the AMQP-CPP library, do not forget to link with the library. For gcc and clang the linker flag is -lamqpcpp. If you use the fullblown version of AMQP-CPP (with the TCP module), you also need to pass the -lpthread and -ldl linker flags, because the TCP module uses a thread for running an asynchronous and non-blocking DNS hostname lookup, and it must be linked with the "dl" library to allow dynamic lookups for functions from the openssl library if a secure connection to RabbitMQ has to be set up.
As we mentioned above, the library can be used in a network-agnostic fashion. It then does not do any IO by itself, and you need to pass an object to the library that the library can use for IO. So, before you start using the library, you first need to create a class that extends from the ConnectionHandler base class. This is a class with a number of methods that are called by the library every time it wants to send out data, or when it needs to inform you that an error occured.
#include <amqpcpp.h>
class MyConnectionHandler : public AMQP::ConnectionHandler
{
/**
* Method that is called by the AMQP library every time it has data
* available that should be sent to RabbitMQ.
* @param connection pointer to the main connection object
* @param data memory buffer with the data that should be sent to RabbitMQ
* @param size size of the buffer
*/
virtual void onData(AMQP::Connection *connection, const char *data, size_t size)
{
// @todo
// Add your own implementation, for example by doing a call to the
// send() system call. But be aware that the send() call may not
// send all data at once, so you also need to take care of buffering
// the bytes that could not immediately be sent, and try to send
// them again when the socket becomes writable again
}
/**
* Method that is called by the AMQP library when the login attempt
* succeeded. After this method has been called, the connection is ready
* to use.
* @param connection The connection that can now be used
*/
virtual void onReady(AMQP::Connection *connection)
{
// @todo
// add your own implementation, for example by creating a channel
// instance, and start publishing or consuming
}
/**
* Method that is called by the AMQP library when a fatal error occurs
* on the connection, for example because data received from RabbitMQ
* could not be recognized.
* @param connection The connection on which the error occured
* @param message A human readable error message
*/
virtual void onError(AMQP::Connection *connection, const char *message)
{
// @todo
// add your own implementation, for example by reporting the error
// to the user of your program, log the error, and destruct the
// connection object because it is no longer in a usable state
}
/**
* Method that is called when the connection was closed. This is the
* counter part of a call to Connection::close() and it confirms that the
* AMQP connection was correctly closed.
*
* @param connection The connection that was closed and that is now unusable
*/
virtual void onClosed(AMQP::Connection *connection)
{
// @todo
// add your own implementation, for example by closing down the
// underlying TCP connection too
}
};
After you've implemented the ConnectionHandler class (which is entirely up to you), you can start using the library by creating a Connection object, and one or more Channel objects:
// create an instance of your own connection handler
MyConnectionHandler myHandler;
// create a AMQP connection object
AMQP::Connection connection(&myHandler, AMQP::Login("guest","guest"), "/");
// and create a channel
AMQP::Channel channel(&connection);
// use the channel object to call the AMQP method you like
channel.declareExchange("my-exchange", AMQP::fanout);
channel.declareQueue("my-queue");
channel.bindQueue("my-exchange", "my-queue", "my-routing-key");
A number of remarks about the example above. First you may have noticed that we've created all objects on the stack. You are of course also free to create them on the heap with the C++ operator 'new'. That works just as well, and is in real life code probably more useful as you normally want to keep your handlers, connection and channel objects around for a longer time.
But more importantly, you can see in the example above that we instantiated the channel object directly after we made the connection object, and we also started declaring exchanges and queues right away. However, under the hood, a handshake protocol is executed between the server and the client when the Connection object is first created. During this handshake procedure it is not permitted to send other instructions (like opening a channel or declaring a queue). It would therefore have been better if we had first waited for the connection to be ready (implement the MyConnectionHandler::onReady() method), and create the channel object only then. But this is not strictly necessary. The methods that are called before the handshake is completed are cached by the AMQP library and will be executed the moment the handshake is completed and the connection becomes ready for use.
The ConnectionHandler class has a method onData() that is called by the library every time that it wants to send out data. We've explained that it is up to you to implement that method. Inside your ConnectionHandler::onData() method, you can for example call the "send()" or "write()" system call to send out the data to the RabbitMQ server. But what about data in the other direction? How does the library receive data back from RabbitMQ?
In this raw setup, the AMQP-CPP library does not do any IO by itself and it is therefore also not possible for the library to receive data from a socket. It is again up to you to do this. If, for example, you notice in your event loop that the socket that is connected with the RabbitMQ server becomes readable, you should read out that socket (for example by using the recv() system call), and pass the received bytes to the AMQP-CPP library. This is done by calling the parse() method in the Connection object.
The Connection::parse() method gets two parameters, a pointer to a buffer of data that you just read from the socket, and a parameter that holds the size of this buffer. The code snippet below comes from the Connection.h C++ header file.
/**
* Parse data that was received from RabbitMQ
*
* Every time that data comes in from RabbitMQ, you should call this method to parse
* the incoming data, and let it handle by the AMQP-CPP library. This method returns
* the number of bytes that were processed.
*
* If not all bytes could be processed because it only contained a partial frame,
* you should call this same method later on when more data is available. The
* AMQP-CPP library does not do any buffering, so it is up to the caller to ensure
* that the old data is also passed in that later call.
*
* @param buffer buffer to decode
* @param size size of the buffer to decode
* @return number of bytes that were processed
*/
size_t parse(char *buffer, size_t size)
{
return _implementation.parse(buffer, size);
}
You should do all the book keeping for the buffer yourselves. If you for example call the Connection::parse() method with a buffer of 100 bytes, and the method returns that only 60 bytes were processed, you should later call the method again, with a buffer filled with the remaining 40 bytes. If the method returns 0, you should make a new call to parse() when more data is available, with a buffer that contains both the old data, and the new data.
To optimize your calls to the parse() method, you could use the Connection::expected() and Connection::maxFrame() methods. The expected() method returns the number of bytes that the library prefers to receive next. It is pointless to call the parse() method with a smaller buffer, and it is best to call the method with a buffer of exactly this size. The maxFrame() returns the max frame size for AMQP messages. If you read your messages into a reusable buffer, you could allocate this buffer up to this size, so that you never will have to reallocate.
Although the AMQP-CPP library gives you extreme flexibility by letting you setup your own network connections, the reality is that most if not all AMQP connections use the TCP protocol. To help you out, the library therefore also comes with a TCP module that takes care of setting up the network connections, and sending and receiving the data.
If you want to use this TCP module, you should not use the AMQP::Connection and AMQP::Channel classes that you saw above, but the alternative AMQP::TcpConnection and AMQP::TcpChannel classes instead. You also do not have to create your own class that implements the "AMQP::ConnectionHandler" interface - but a class that inherits from "AMQP::TcpHandler" instead. This AMQP::TcpHandler class contains a set of methods that you can override to intercept all sort of events that occur during the TCP and AMQP connection lifetime. Overriding these methods is mostly optional, because almost all have a default implementation. But you do need to implement the "monitor()" method, as that is needed by the AMQP-CPP library to interact with the main event loop:
#include <amqpcpp.h>
#include <amqpcpp/linux_tcp.h>
class MyTcpHandler : public AMQP::TcpHandler
{
/**
* Method that is called by the AMQP library when a new connection
* is associated with the handler. This is the first call to your handler
* @param connection The connection that is attached to the handler
*/
virtual void onAttached(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation, for example initialize things
// to handle the connection.
}
/**
* Method that is called by the AMQP library when the TCP connection
* has been established. After this method has been called, the library
* still has take care of setting up the optional TLS layer and of
* setting up the AMQP connection on top of the TCP layer., This method
* is always paired with a later call to onLost().
* @param connection The connection that can now be used
*/
virtual void onConnected(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation (probably not needed)
}
/**
* Method that is called when the secure TLS connection has been established.
* This is only called for amqps:// connections. It allows you to inspect
* whether the connection is secure enough for your liking (you can
* for example check the server certicate). The AMQP protocol still has
* to be started.
* @param connection The connection that has been secured
* @param ssl SSL structure from openssl library
* @return bool True if connection can be used
*/
virtual bool onSecured(AMQP::TcpConnection *connection, const SSL *ssl) override
{
// @todo
// add your own implementation, for example by reading out the
// certificate and check if it is indeed yours
return true;
}
/**
* Method that is called by the AMQP library when the login attempt
* succeeded. After this the connection is ready to use.
* @param connection The connection that can now be used
*/
virtual void onReady(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation, for example by creating a channel
// instance, and start publishing or consuming
}
/**
* Method that is called by the AMQP library when a fatal error occurs
* on the connection, for example because data received from RabbitMQ
* could not be recognized, or the underlying connection is lost. This
* call is normally followed by a call to onLost() (if the error occured
* after the TCP connection was established) and onDetached().
* @param connection The connection on which the error occured
* @param message A human readable error message
*/
virtual void onError(AMQP::TcpConnection *connection, const char *message) override
{
// @todo
// add your own implementation, for example by reporting the error
// to the user of your program and logging the error
}
/**
* Method that is called when the AMQP protocol is ended. This is the
* counter-part of a call to connection.close() to graceful shutdown
* the connection. Note that the TCP connection is at this time still
* active, and you will also receive calls to onLost() and onDetached()
* @param connection The connection over which the AMQP protocol ended
*/
virtual void onClosed(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation (probably not necessary, but it could
// be useful if you want to do some something immediately after the
// amqp connection is over, but do not want to wait for the tcp
// connection to shut down
}
/**
* Method that is called when the TCP connection was closed or lost.
* This method is always called if there was also a call to onConnected()
* @param connection The connection that was closed and that is now unusable
*/
virtual void onLost(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation (probably not necessary)
}
/**
* Final method that is called. This signals that no further calls to your
* handler will be made about the connection.
* @param connection The connection that can be destructed
*/
virtual void onDetached(AMQP::TcpConnection *connection) override
{
// @todo
// add your own implementation, like cleanup resources or exit the application
}
/**
* Method that is called by the AMQP-CPP library when it wants to interact
* with the main event loop. The AMQP-CPP library is completely non-blocking,
* and only make "write()" or "read()" system calls when it knows in advance
* that these calls will not block. To register a filedescriptor in the
* event loop, it calls this "monitor()" method with a filedescriptor and
* flags telling whether the filedescriptor should be checked for readability
* or writability.
*
* @param connection The connection that wants to interact with the event loop
* @param fd The filedescriptor that should be checked
* @param flags Bitwise or of AMQP::readable and/or AMQP::writable
*/
virtual void monitor(AMQP::TcpConnection *connection, int fd, int flags) override
{
// @todo
// add your own implementation, for example by adding the file
// descriptor to the main application event loop (like the select() or
// poll() loop). When the event loop reports that the descriptor becomes
// readable and/or writable, it is up to you to inform the AMQP-CPP
// library that the filedescriptor is active by calling the
// connection->process(fd, flags) method.
}
};
You see that there are many methods in TcpHandler that you can implement. The most important one is "monitor()". This method is used to integrate the AMQP filedescriptors in your application's event loop. For some popular event loops (libev, libuv, libevent), we have already added example handler objects (see the next section for that). All the other methods are optional to override. It often is a good idea to override the onError() method to log or report errors and onDetached() for cleaning up stuff. AMQP-CPP has it's own buffers if you send instructions prematurely, but if you intend to send a lot of data over the connection, it also is a good idea to implement the onReady() method and delay your calls until the AMQP connection has been fully set up.
Using the TCP module of the AMQP-CPP library is easier than using the raw AMQP::Connection and AMQP::Channel objects, because you do not have to create the sockets and connections yourself, and you also do not have to take care of buffering network data. The example that we gave above, looks slightly different if you make use of the TCP module:
// create an instance of your own tcp handler
MyTcpHandler myHandler;
// address of the server
AMQP::Address address("amqp://guest:guest@localhost/vhost");
// create a AMQP connection object
AMQP::TcpConnection connection(&myHandler, address);
// and create a channel
AMQP::TcpChannel channel(&connection);
// use the channel object to call the AMQP method you like
channel.declareExchange("my-exchange", AMQP::fanout);
channel.declareQueue("my-queue");
channel.bindQueue("my-exchange", "my-queue", "my-routing-key");
The TCP module of AMQP-CPP also supports setting up secure connections. If your RabbitMQ server accepts SSL connections, you can specify the address to your server using the amqps:// protocol:
// init the SSL library (this works for openssl 1.1, for openssl 1.0 use SSL_library_init())
OPENSSL_init_ssl(0, NULL);
// address of the server (secure!)
AMQP::Address address("amqps://guest:guest@localhost/vhost");
// create a AMQP connection object
AMQP::TcpConnection connection(&myHandler, address);
There are two things to take care of if you want to create a secure connection: (1) you must link your application with the -lssl flag (or use dlopen()), and (2) you must initialize the openssl library by calling OPENSSL_init_ssl(). This initializating must take place before you let you application connect to RabbitMQ. This is necessary because AMQP-CPP needs access to the openssl library to set up secure connections. It can only access this library if you have linked your application with this library, or if you have loaded this library at runtime using dlopen()).
Linking openssl is the normal thing to do. You just have to add the -lssl flag
to your linker. If you however do not want to link your application with openssl,
you can also load the openssl library at runtime, and pass in the pointer to the
handle to AMQP-CPP:
// dynamically open the openssl library
void *handle = dlopen("/path/to/openssl.so", RTLD_LAZY);
// tell AMQP-CPP library where the handle to openssl can be found
AMQP::openssl(handle);
// @todo call functions to initialize openssl, and create the AMQP connection
// (see exampe above)
By itself, AMQP-CPP does not check if the created TLS connection is sufficient secure. Whether the certificate is expired, self-signed, missing or invalid: for AMQP-CPP it all doesn't matter and the connection is simply permitted. If you want to be more strict (for example: if you want to verify the server's certificate), you must do this yourself by implementing the "onSecured()" method in your handler object:
#include <amqpcpp.h>
#include <amqpcpp/linux_tcp.h>
class MyTcpHandler : public AMQP::TcpHandler
{
/**
* Method that is called right after the TLS connection has been created.
* In this method you can check the connection properties (like the certificate)
* and return false if you find it not secure enough
* @param connection the connection that has just completed the tls handshake
* @param ssl SSL structure from the openssl library
* @return bool true if connection is secure enough to start the AMQP protocol
*/
virtual bool onSecured(AMQP::TcpConnection *connection, const SSL *ssl) override
{
// @todo call functions from the openssl library to check the certificate,
// like SSL_get_peer_certificate() or SSL_get_verify_result().
// For now we always allow the connection to proceed
return true;
}
/**
* All other methods (like onConnected(), onError(), etc) are left out of this
* example, but would be here if this was an actual user space handler class.
*/
};
The SSL pointer that is passed to the onSecured() method refers to the "SSL" structure from the openssl library.
Both the pure AMQP::Connection as well as the easier AMQP::TcpConnection class allow you to integrate AMQP-CPP in your own event loop. Whether you take care of running the event loop yourself (for example by using the select() system call), or if you use an existing library for it (like libevent, libev or libuv), you can implement the "monitor()" method to watch the file descriptors and hand over control back to AMQP-CPP when one of the sockets become active.
For libev, libuv and libevent users, we have even implemented an example implementation, so that you do not even have to do this. Instead of implementing the monitor() method yourself, you can use the AMQP::LibEvHandler, AMQP::LibUvHandler or AMQP:LibEventHandler classes instead:
#include <ev.h>
#include <amqpcpp.h>
#include <amqpcpp/libev.h>
int main()
{
// access to the event loop
auto *loop = EV_DEFAULT;
// handler for libev (so we don't have to implement AMQP::TcpHandler!)
AMQP::LibEvHandler handler(loop);
// make a connection
AMQP::TcpConnection connection(&handler, AMQP::Address("amqp://localhost/"));
// we need a channel too
AMQP::TcpChannel channel(&connection);
// create a temporary queue
channel.declareQueue(AMQP::exclusive).onSuccess([&connection](const std::string &name, uint32_t messagecount, uint32_t consumercount) {
// report the name of the temporary queue
std::cout << "declared queue " << name << std::endl;
// now we can close the connection
connection.close();
});
// run the loop
ev_run(loop, 0);
// done
return 0;
}
The AMQP::LibEvHandler and AMQP::LibEventHandler classes are extended AMQP::TcpHandler classes, with an implementation of the monitor() method that simply adds the filedescriptor to the event loop. If you use this class, it is recommended not to instantiate it directly (like we did in the example), but to create your own "MyHandler" class that extends from it, and in which you also implement the onError() method to report possible connection errors to your end users.
Currently, we have example TcpHandler implementations for libev, libuv, libevent, and Boost's asio. For other event loops we do not yet have such examples. The quality of the libboostasio is however debatable: it was not developed and is not maintained by the original AMQP-CPP developers, and it has a couple of open issues.
| TCP Handler Impl | Header File Location | Sample File Location |
|---|---|---|
| Boost asio (io_service) | include/libboostasio.h | examples/libboostasio.cpp |
| libev | include/libev.h | examples/libev.cpp |
| libevent | include/libevent.h | examples/libevent.cpp |
| libuv | include/libuv.h | examples/libuv.cpp |
The AMQP protocol supports heartbeats. If this heartbeat feature is enabled, the client and the server negotiate a heartbeat interval during connection setup, and they agree to send at least some kind of data over the connection during every iteration of that interval. The normal data that is sent over the connection (like publishing or consuming messages) is normally sufficient to keep the connection alive, but if the client or server was idle during the negotiated interval time, a dummy heartbeat message must be sent instead.
The default behavior of the AMQP-CPP library is to disable heartbeats. The proposed heartbeat interval of the server during connection setup (the server normally suggests an interval of 60 seconds) is vetoed by the AMQP-CPP library so no heartbeats are ever needed to be sent over the connection. This means that you can safely keep your AMQP connection idle for as long as you like, and/or run long lasting algorithms after you've consumed a message from RabbitMQ, without having to worry about the connection being idle for too long.
You can however choose to enable these heartbeats. If you want to enable heartbeats, you should implement the onNegotiate() method inside your ConnectionHandler or TcpHandler class and have it return the interval that you find appropriate.
#include <amqpcpp.h>
class MyTcpHandler : public AMQP::TcpHandler
{
/**
* Method that is called when the server tries to negotiate a heartbeat
* interval, and that is overridden to get rid of the default implementation
* (which vetoes the suggested heartbeat interval), and accept the interval
* instead.
* @param connection The connection on which the error occured
* @param interval The suggested interval in seconds
*/
virtual uint16_t onNegotiate(AMQP::TcpConnection *connection, uint16_t interval)
{
// we accept the suggestion from the server, but if the interval is smaller
// that one minute, we will use a one minute interval instead
if (interval < 60) interval = 60;
// @todo
// set a timer in your event loop, and make sure that you call
// connection->heartbeat() every _interval_ seconds if no other
// instruction was sent in that period.
// return the interval that we want to use
return interval;
}
};
If you enable heartbeats, it is your own responsibility to ensure that the
connection->heartbeat() method is called at least once during this period,
or that you call one of the other channel or connection methods to send data
over the connection. Heartbeats are sent by the server too, RabbitMQ also ensures
that some data is sent over the connection from the server to the client
during the heartbeat interval. It is also your responnsibility to shutdown
the connection if you find out that the server stops sending data during
this period.
If you use the AMQP::LibEvHandler event loop implementation, heartbeats are enabled by default, and all these checks are automatically performed.
In the above example we created a channel object. A channel is a sort of virtual connection, and it is possible to create many channels that all use the same connection.
AMQP instructions are always sent over a channel, so before you can send the first command to the RabbitMQ server, you first need a channel object. The channel object has many methods to send instructions to the RabbitMQ server. It for example has methods to declare queues and exchanges, to bind and unbind them, and to publish and consume messages. You can best take a look at the channel.h C++ header file for a list of all available methods. Every method in it is well documented.
All operations that you can perform on a channel are non-blocking. This means that it is not possible for a method (like Channel::declareExchange()) to immediately return 'true' or 'false'. Instead, almost every method of the Channel class returns an instance of the 'Deferred' class. This 'Deferred' object can be used to install handlers that will be called in case of success or failure.
For example, if you call the channel.declareExchange() method, the AMQP-CPP library will send a message to the RabbitMQ message broker to ask it to declare the queue. However, because all operations in the library are asynchronous, the declareExchange() method can not return 'true' or 'false' to inform you whether the operation was succesful or not. Only after a while, after the instruction has reached the RabbitMQ server, and the confirmation from the server has been sent back to the client, the library can report the result of the declareExchange() call.
To prevent any blocking calls, the channel.declareExchange() method returns a 'Deferred' result object, on which you can set callback functions that will be called when the operation succeeds or fails.
// create a channel (or use TcpChannel if you're using the Tcp module)
Channel myChannel(&connection);
// declare an exchange, and install callbacks for success and failure
myChannel.declareExchange("my-exchange")
.onSuccess([]() {
// by now the exchange is created
})
.onError([](const char *message) {
// something went wrong creating the exchange
});
As you can see in the above example, we call the declareExchange() method, and treat its return value as an object, on which we immediately install a lambda callback function to handle success, and to handle failure.
Installing the callback methods is optional. If you're not interested in the result of an operation, you do not have to install a callback for it. Next to the onSuccess() and onError() callbacks that can be installed, you can also install a onFinalize() method that gets called directly after the onSuccess() and onError() methods, and that can be used to set a callback that should run in either case: when the operation succeeds or when it fails.
The signature for the onError() method is always the same: it gets one parameter with a human readable error message. The onSuccess() function has a different signature depending on the method that you call. Most onSuccess() functions (like the one we showed for the declareExchange() method) do not get any parameters at all. Some specific onSuccess callbacks receive extra parameters with additional information.
As explained, most channel methods return a 'Deferred' object on which you can install callbacks using the Deferred::onError() and Deferred::onSuccess() methods.
The callbacks that you install on a Deferred object, only apply to one specific operation. If you want to install a generic error callback for the entire channel, you can so so by using the Channel::onError() method. Next to the Channel::onError() method, you can also install a callback to be notified when the channel is ready for sending the first instruction to RabbitMQ.
// create a channel (or use TcpChannel if you use the Tcp module)
Channel myChannel(&connection);
// install a generic channel-error handler that will be called for every
// error that occurs on the channel
myChannel.onError([](const char *message) {
// report error
std::cout << "channel error: " << message << std::endl;
});
// install a generic callback that will be called when the channel is ready
// for sending the first instruction
myChannel.onReady([]() {
// send the first instructions (like publishing messages)
});
In theory, you should wait for the onReady() callback to be called before you send any other instructions over the channel. In practice however, the AMQP library caches all instructions that were sent too early, so that you can use the channel object right after it was constructed.
It is important to realize that any error that occurs on a channel, invalidates the entire channel, including all subsequent instructions that were already sent over it. This means that if you call multiple methods in a row, and the first method fails, all subsequent methods will not be executed either:
Channel myChannel(&connection);
myChannel.declareQueue("my-queue");
myChannel.declareExchange("my-exchange");
If the first declareQueue() call fails in the example above, the second myChannel.declareExchange() method will not be executed, even when this second instruction was already sent to the server. The second instruction will be ignored by the RabbitMQ server because the channel was already in an invalid state after the first failure.
You can overcome this by using multiple channels:
Channel channel1(&connection);
Channel channel2(&connection);
channel1.declareQueue("my-queue");
channel2.declareExchange("my-exchange");
Now, if an error occurs with declaring the queue, it will not have consequences for the other call. But this comes at a small price: setting up the extra channel requires and extra instruction to be sent to the RabbitMQ server, so some extra bytes are sent over the network, and some additional resources in both the client application and the RabbitMQ server are used (although this is all very limited).
If possible, it is best to make use of this feature. For example, if you have an important AMQP connection that you use for consuming messages, and at the same time you want to send another instruction to RabbitMQ (like declaring a temporary queue), it is best to set up a new channel for this 'declare' instruction. If the declare fails, it will not stop the consumer, because it was sent over a different channel.
The AMQP-CPP library allows you to create channels on the stack. It is not a problem if a channel object gets destructed before the instruction was received by the RabbitMQ server:
void myDeclareMethod(AMQP::Connection *connection)
{
// create temporary channel to declare a queue
AMQP::Channel channel(connection);
// declare the queue (the channel object is destructed before the
// instruction reaches the server, but the AMQP-CPP library can deal
// with this)
channel.declareQueue("my-new-queue");
}
Let's take a closer look at one method in the Channel object to explain two other concepts of this AMQP-CPP library: flags and tables. The method that we will be looking at is the Channel::declareQueue() method - but we could've picked a different method too because flags and tables are used by many methods.
/**
* Declare a queue
*
* If you do not supply a name, a name will be assigned by the server.
*
* The flags can be a combination of the following values:
*
* - durable queue survives a broker restart
* - autodelete queue is automatically removed when all connected consumers are gone
* - passive only check if the queue exist
* - exclusive the queue only exists for this connection, and is automatically removed when connection is gone
*
* @param name name of the queue
* @param flags combination of flags
* @param arguments optional arguments
*/
DeferredQueue &declareQueue(const std::string &name, int flags, const Table &arguments);
DeferredQueue &declareQueue(const std::string &name, const Table &arguments);
DeferredQueue &declareQueue(const std::string &name, int flags = 0);
DeferredQueue &declareQueue(int flags, const Table &arguments);
DeferredQueue &declareQueue(const Table &arguments);
DeferredQueue &declareQueue(int flags = 0);
As you can see, the method comes in many forms, and it is up to you to choose the one that is most appropriate. We now take a look at the most complete one, the method with three parameters.
All above methods returns a 'DeferredQueue' object. The DeferredQueue class extends from the AMQP::Deferred class and allows you to install a more powerful onSuccess() callback function. The 'onSuccess' method for the declareQueue() function gets three arguments:
// create a custom callback
auto callback = [](const std::string &name, int msgcount, int consumercount) {
// @todo add your own implementation
};
// declare the queue, and install the callback that is called on success
channel.declareQueue("myQueue").onSuccess(callback);
Just like many others methods in the Channel class, the declareQueue() method accepts an integer parameter named 'flags'. This is a variable in which you can set method-specific options, by summing up all the options that are described in the documentation above the method. If you for example want to create a durable, auto-deleted queue, you can pass in the value AMQP::durable + AMQP::autodelete.
The declareQueue() method also accepts a parameter named 'arguments', which is of type Table. This Table object can be used as an associative array to send additional options to RabbitMQ, that are often custom RabbitMQ extensions to the AMQP standard. For a list of all supported arguments, take a look at the documentation on the RabbitMQ website. With every new RabbitMQ release more features, and supported arguments are added.
The Table class is a very powerful class that enables you to build complicated, deeply nested structures full of strings, arrays and even other tables. In reality, you only need strings and integers.
// custom options that are passed to the declareQueue call
AMQP::Table arguments;
arguments["x-dead-letter-exchange"] = "some-exchange";
arguments["x-message-ttl"] = 3600 * 1000;
arguments["x-expires"] = 7200 * 1000;
// declare the queue
channel.declareQueue("my-queue-name", AMQP::durable + AMQP::autodelete, arguments);
Publishing messages is easy, and the Channel class has a list of methods that can all be used for it. The most simple one takes three arguments: the name of the exchange to publish to, the routing key to use, and the actual message that you're publishing - all these parameters are standard C++ strings.
More extended versions of the publish() method exist that accept additional arguments, and that enable you to publish entire Envelope objects. An envelope is an object that contains the message plus a list of optional meta properties like the content-type, content-encoding, priority, expire time and more. None of these meta fields are interpreted by this library, and also the RabbitMQ ignores most of them, but the AMQP protocol defines them, and they are free for you to use. For an extensive list of the fields that are supported, take a look at the MetaData.h header file (MetaData is the base class for Envelope). You should also check the RabbitMQ documentation to find out if an envelope header is interpreted by the RabbitMQ server (at the time of this writing, only the expire time is being used).
The following snippet is copied from the Channel.h header file and lists all available publish() methods. As you can see, you can call the publish() method in almost any form:
/**
* Publish a message to an exchange
*
* You have to supply the name of an exchange and a routing key. RabbitMQ will then try
* to send the message to one or more queues. With the optional flags parameter you can
* specify what should happen if the message could not be routed to a queue. By default,
* unroutable message are silently discarded.
*
* If you set the 'mandatory' and/or 'immediate' flag, messages that could not be handled
* are returned to the application. Make sure that you have called the recall()-method and
* have set up all appropriate handlers to process these returned messages before you start
* publishing.
*
* The following flags can be supplied:
*
* - mandatory If set, server returns messages that are not sent to a queue
* - immediate If set, server returns messages that can not immediately be forwarded to a consumer.
*
* @param exchange the exchange to publish to
* @param routingkey the routing key
* @param envelope the full envelope to send
* @param message the message to send
* @param size size of the message
* @param flags optional flags
*/
bool publish(const std::string &exchange, const std::string &routingKey, const Envelope &envelope, int flags = 0) { return _implementation->publish(exchange, routingKey, envelope, flags); }
bool publish(const std::string &exchange, const std::string &routingKey, const std::string &message, int flags = 0) { return _implementation->publish(exchange, routingKey, Envelope(message.data(), message.size()), flags); }
bool publish(const std::string &exchange, const std::string &routingKey, const char *message, size_t size, int flags = 0) { return _implementation->publish(exchange, routingKey, Envelope(message, size), flags); }
bool publish(const std::string &exchange, const std::string &routingKey, const char *message, int flags = 0) { return _implementation->publish(exchange, routingKey, Envelope(message, strlen(message)), flags); }
Published messages are normally not confirmed by the server, and the RabbitMQ will not send a report back to inform you whether the message was successfully published or not. But with the flags you can instruct RabbitMQ to send back the message if it was undeliverable. In you use these flags you must also install callbacks that will process these bounced messages.
You can also use transactions to ensure that your messages get delivered. Let's say that you are publishing many messages in a row. If you get an error halfway through there is no way to know for sure how many messages made it to the broker and how many should be republished. If this is important, you can wrap the publish commands inside a transaction. In this case, if an error occurs, the transaction is automatically rolled back by RabbitMQ and none of the messages are actually published.
// start a transaction
channel.startTransaction();
// publish a number of messages
channel.publish("my-exchange", "my-key", "my first message");
channel.publish("my-exchange", "my-key", "another message");
// commit the transactions, and set up callbacks that are called when
// the transaction was successful or not
channel.commitTransaction()
.onSuccess([]() {
// all messages were successfully published
})
.onError([](const char *message) {
// none of the messages were published
// now we have to do it all over again
});
Note that AMQP transactions are not as powerful as transactions that are knows in the database world. It is not possible to wrap all sort of operations in a transaction, they are only meaningful for publishing and consuming.
RabbitMQ supports a lightweight method of confirming that broker received and processed a message. When you enable this, RabbitMQ sends back an 'ack' or 'nack' for each publish-operation. For this to work, the channel needs to be put in confirm mode. This is done using the confirmSelect() method. When the channel is successfully put in confirm mode, the server starts counting the received messages (starting from 1) and sends acknowledgments for every message it processed (it can also acknowledge multiple message at once).
If server is unable to process a message, it will send send negative acknowledgments. Both positive and negative acknowledgments handling are passed to callbacks that you can install on the object that is returned by the confirmSelect() method:
// setup confirm mode and ack/nack callbacks (from this moment onwards
// ack/nack confirmations are coming in)
channel.confirmSelect().onSuccess([&]() {
// publish the first message (this will be acked/nacked with deliveryTag=1)
channel.publish("my-exchange", "my-key", "my first message");
// publish the second message (this will be acked/nacked with deliveryTag=2)
channel.publish("my-exchange", "my-key", "my second message");
}).onAck([&](uint64_t deliveryTag, bool multiple) {
// deliveryTag is message number
// multiple is set to true, if all messages UP TO deliveryTag have been processed
}).onNack([&](uint64 deliveryTag, bool multiple, bool requeue) {
// deliveryTag is message number
// multiple is set to true, if all messages UP TO deliveryTag have not been processed
// requeue is to be ignored
});
If you use this feature, you will have to implement your own bookkeeping to track which messages have already been acked/nacked, and which messages are still being handled. For your convenience however, the AMQP-CPP library comes with a number of helper classes that can take over this responsibility.
The AMQP::Reliable class is an optional wrapper around channels. When you use it, your underlying channel is automatically put it confirm method, and all publish operations are individually acknowledged:
// create a channel
AMQP::TcpChannel mychannel(connection);
// wrap the channel into a reliable-object so that publish-opertions are
// individually confirmed (after wrapping the channel, it is recommended
// to no longer make direct calls to the channel)
AMQP::Reliable reliable(mychannel);
// publish a message via the reliable-channel
reliable.publish("my-exchange", "my-key", "my first message").onAck([]() {
// the message has been acknowledged by RabbitMQ (in your application
// code you can now safely discard the message as it has been picked up)
}).onNack([]() {
// the message has _explicitly_ been nack'ed by RabbitMQ (in your application
// code you probably want to log or handle this to avoid data-loss)
}).onError([](const char *message) {
// a channel-error occured before any ack or nack was received, and the
// message is probably lost too (which you want to handle)
}).onLost([]() {
// because the implementation for onNack() and onError() will be the same
// in many applications, you can also choose to install a onLost() handler,
// which is called when the message has either been nack'ed, or lost.
});
In the above example we have implemented four callback methods. In a real life application, implementing the onAck() and onLost() is normally sufficient.
Publisher-confirms are often useful in situations where you need reliability. If you want to have certainty about whether your message was handled by RabbitMQ or not, you can enable this feature, either by explicitly calling channel.confirmSelect() if you want to do your own bookkeeping, or using AMQP::Reliable for a simpler API.
But it also is useful for flood prevention. RabbitMQ turns out not to be very good at handling big loads of publish-operations. If you publish messages faster than RabbitMQ can handle, a server-side buffer builds up, and RabbitMQ gets slow (which causes the buffer to build up even further, et cetera). With publish-confirms you can keep the messages in your own application, and only proceed with publishing them when your previous messages have been handled. With this approach you prevent that RabbitMQ gets overloaded. We call it throttling.
You can build your own throttling mechanism using the confirmSelect() approach or the AMQP::Reliable class. Or you use AMQP::Throttle:
// create a channel
AMQP::TcpChannel mychannel(connection);
// create a throttle (do not publish more than 20 messages at once) (after
// wrapping the channel in a throttle you should no longer call any of the
// channel-methods directly)
AMQP::Throttle throttle(connection, 20);
// publish way more messages than RabbitMQ can handle (the Throttle class
// will make sure that messages are buffered inside your application if
// there are more than 20 unacked messages)
for (size_t i = 0; i < 100000; ++i)
{
// publish a message
throttle.publish("my-exchange", "my-key", "my first message");
}
The AMQP::Reliable and AMQP::Throttle classes both wrap around a channel. But what if you want to use both? You want to throttle messages, but also like to install your own callbacks for onAck and onLost? This is possible too:
// create a channel
AMQP::TcpChannel mychannel(connection);
// create a throttle that allows reliable-publishing
AMQP::Throttle<AMQP::Reliable> throttle(connection, 20);
// publish way more messages than RabbitMQ can handle (the Throttle class
// will make sure that messages are buffered inside your application if
// there are more than 20 unacked messages)
for (size_t i = 0; i < 100000; ++i)
{
// publish a message
throttle.publish("my-exchange", "my-key", "my first message").onAck([]() {
// @todo add your own code
}).onLost([]() {
// @todo add your own code
});
}
For more information, see http://www.rabbitmq.com/confirms.html.
Fetching messages from RabbitMQ is called consuming, and can be started by calling the method Channel::consume(). After you've called this method, RabbitMQ starts delivering messages to you.
Just like the publish() method that we just described, the consume() method also comes in many forms. The first parameter is always the name of the queue you like to consume from. The subsequent parameters are an optional consumer tag, flags and a table with custom arguments. The first additional parameter, the consumer tag, is nothing more than a string identifier that you can use when you want to stop consuming.
The full documentation from the C++ Channel.h headerfile looks like this:
/**
* Tell the RabbitMQ server that we're ready to consume messages
*
* After this method is called, RabbitMQ starts delivering messages to the client
* application. The consume tag is a string identifier that will be passed to
* each received message, so that you can associate incoming messages with a
* consumer. If you do not specify a consumer tag, the server will assign one
* for you.
*
* The following flags are supported:
*
* - nolocal if set, messages published on this channel are
* not also consumed
*
* - noack if set, consumed messages do not have to be acked,
* this happens automatically
*
* - exclusive request exclusive access, only this consumer can
* access the queue
*
* The callback registered with DeferredConsumer::onSuccess() will be called when the
* consumer has started.
*
* @param queue the queue from which you want to consume
* @param tag a consumer tag that will be associated with this consume operation
* @param flags additional flags
* @param arguments additional arguments
* @return bool
*/
DeferredConsumer &consume(const std::string &queue, const std::string &tag, int flags, const AMQP::Table &arguments);
DeferredConsumer &consume(const std::string &queue, const std::string &tag, int flags = 0);
DeferredConsumer &consume(const std::string &queue, const std::string &tag, const AMQP::Table &arguments);
DeferredConsumer &consume(const std::string &queue, int flags, const AMQP::Table &arguments);
DeferredConsumer &consume(const std::string &queue, int flags = 0);
DeferredConsumer &consume(const std::string &queue, const AMQP::Table &arguments);
As you can see, the consume method returns a DeferredConsumer. This object is a regular Deferred, with additions. The onSuccess() method of a DeferredConsumer is slightly different than the onSuccess() method of a regular Deferred object: one extra parameter will be supplied to your callback function with the consumer tag.
The onSuccess() callback will be called when the consume operation has started, but not when messages are actually consumed. For this you will have to install a different callback, using the onReceived() method.
// callback function that is called when the consume operation starts
auto startCb = [](const std::string &consumertag) {
std::cout << "consume operation started" << std::endl;
};
// callback function that is called when the consume operation failed
auto errorCb = [](const char *message) {
std::cout << "consume operation failed" << std::endl;
};
// callback operation when a message was received
auto messageCb = [&channel](const AMQP::Message &message, uint64_t deliveryTag, bool redelivered) {
std::cout << "message received" << std::endl;
// acknowledge the message
channel.ack(deliveryTag);
};
// start consuming from the queue, and install the callbacks
channel.consume("my-queue")
.onReceived(messageCb)
.onSuccess(startCb)
.onError(errorCb);
The Message object holds all information of the delivered message: the actual content, all meta information from the envelope (in fact, the Message class is derived from the Envelope class), and even the name of the exchange and the routing key that were used when the message was originally published. For a full list of all information in the Message class, you best have a look at the message.h, envelope.h and metadata.h header files.
Another important parameter to the onReceived() method is the deliveryTag parameter. This is a unique identifier that you need to acknowledge an incoming message. RabbitMQ only removes the message after it has been acknowledged, so that if your application crashes while it was busy processing the message, the message does not get lost but remains in the queue. But this means that after you've processed the message, you must inform RabbitMQ about it by calling the Channel:ack() method. This method is very simple and takes in its simplest form only one parameter: the deliveryTag of the message.
Consuming messages is a continuous process. RabbitMQ keeps sending messages, until you stop the consumer, which can be done by calling the Channel::cancel() method. If you close the channel, or the entire TCP connection, consuming also stops.
RabbitMQ throttles the number of messages that are delivered to you, to prevent that your application is flooded with messages from the queue, and to spread out the messages over multiple consumers. This is done with a setting called quality-of-service (QOS). The QOS setting is a numeric value which holds the number of unacknowledged messages that you are allowed to have. RabbitMQ stops sending additional messages when the number of unacknowledges messages has reached this limit, and only sends additional messages when an earlier message gets acknowledged. To change the QOS, you can simple call Channel::setQos().
AMQP-CPP 4.* is not always compatible with previous versions. Especially some virtual methods in the ConnectionHandler and TcpHandler classes have been renamed or are called during a different stage in the connection lifetime. Check out this README file and the comments inside the connectionhandler.h and tcphandler.h files to find out if your application has to be changed. You should especially check the following:
Almost all AMQP features have been implemented. But the following things might need additional attention:
- ability to set up secure connections (or is this fully done on the IO level)
- login with other protocols than login/password
We also need to add more safety checks so that strange or invalid data from RabbitMQ does not break the library (although in reality RabbitMQ only sends valid data). Also, when we now receive an answer from RabbitMQ that does not match the request that we sent before, we do not report an error (this is also an issue that only occurs in theory).
It would be nice to have sample implementations for the ConnectionHandler class that can be directly plugged into libev, libevent and libuv event loops.
For performance reasons, we need to investigate if we can limit the number of times an incoming or outgoing messages is copied.
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