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https://github.com/CopernicaMarketingSoftware/AMQP-CPP
C++ library for asynchronous non-blocking communication with RabbitMQ
https://github.com/CopernicaMarketingSoftware/AMQP-CPP
Last synced: about 2 months ago
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C++ library for asynchronous non-blocking communication with RabbitMQ
- Host: GitHub
- URL: https://github.com/CopernicaMarketingSoftware/AMQP-CPP
- Owner: CopernicaMarketingSoftware
- License: apache-2.0
- Created: 2014-01-04T11:38:24.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2024-07-08T18:15:17.000Z (3 months ago)
- Last Synced: 2024-07-08T23:03:16.101Z (3 months ago)
- Language: C++
- Homepage:
- Size: 1.97 MB
- Stars: 865
- Watchers: 72
- Forks: 335
- Open Issues: 67
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-code-for-gamedev - amqpcpp
README
AMQP-CPP
========
[](https://travis-ci.org/CopernicaMarketingSoftware/AMQP-CPP)
[](https://ci.appveyor.com/project/copernica/amqp-cpp/branch/master)
AMQP-CPP is a C++ library for communicating with a RabbitMQ message broker.
The library can be used to parse incoming data from, and generate frames to, a RabbitMQ server.
OVERVIEW
========
**Are you upgrading from AMQP-CPP 3 to AMQP-CPP 4?** [Please read the upgrade instructions](#upgrading)
**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](#tcp-connections).
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 an interface
defined by AMQP-CPP, passing it to the AMQP-CPP library to use for IO operations.
Intercepting this network layer is optional. The AMQP-CPP library 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/receive the (possibly encrypted) data.
This layered architecture makes the library 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 [other unusual communication layer](https://tools.ietf.org/html/rfc1149),
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++17 features, so if you intend to use it, please make
sure that your compiler is up-to-date and supports C++17.
TABLE OF CONTENTS
=================
* [Overview](#overview)
* [About](#about)
* [How to install](#how-to-install)
* [How to use AMQP-CPP](#how-to-use-amqp-cpp)
* [Parsing incoming data](#parsing-incoming-data)
* [TCP connections](#tcp-connections)
* [Secure connections](#secure-connections)
* [Existing event loops](#existing-event-loops)
* [Heartbeats](#heartbeats)
* [Channels](#channels)
* [Channel callbacks](#channel-callbacks)
* [Channel errors](#channel-errors)
* [Flags and Tables](#flags-and-tables)
* [Publishing messages](#publishing-messages)
* [Publisher confirms](#publishing-confirms)
* [Consuming messages](#consuming-messages)
* [Upgrading](#upgrading)
* [Work in progress](#work-in-progress)
ABOUT
=====
[Back to Table of Contents](#table-of-contents)
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:
* Copernica Marketing Suite (www.copernica.com)
* MailerQ on-premise MTA (www.mailerq.com)
* Responsive Email web service (www.responsiveemail.com)
* SMTPeter cloud based SMTP server (www.smtpeter.com)
* PHP-CPP bridge between PHP and C++ (www.php-cpp.com)
* PHP-JS bridge between PHP and Javascript (www.php-js.com)
* Yothalot big data processor (www.yothalot.com)
HOW TO INSTALL
==============
[Back to Table of Contents](#table-of-contents)
Start by cloning the repository and navigating to the `AMQP-CPP` directory.
```bash
git clone https://github.com/CopernicaMarketingSoftware/AMQP-CPP.git
cd AMQP-CPP
```
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.
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`.
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.
## Using cmake
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:
```bash
mkdir build
cd build
cmake .. [-DAMQP-CPP_BUILD_SHARED=ON] [-DAMQP-CPP_LINUX_TCP=ON]
cmake --build . --target install
```
Option | Default | Meaning
-------------------------|---------|-----------------------------------------------------------------------
AMQP-CPP_BUILD_SHARED | OFF | OFF for static lib, ON for shared lib. Shared is not supported on Windows.
AMQP-CPP_LINUX_TCP | OFF | ON to build TCP module. TCP module is supported for Linux only.
## Using make
Compiling and installing AMQP-CPP with make is as easy as running:
```bash
make
make install
```
This will install the full version of AMQP-CPP, including
the system specific TCP module.
To install without the TCP module (so that you can handle
network connection yourself), run:
```bash
make pure
make install
```
## Compiling a program
When you compile an application that uses the AMQP-CPP library, remember to link
with the library. For gcc and clang the linker flag is `-lamqpcpp`.
If you use the TCP module, you also need to pass the `-lpthread` and `-ldl`
linker flags. 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.
An example compilation command for an application using the TCP module:
```bash
g++ -g -Wall -lamqcpp -lpthread -ldl my-amqp-cpp.c -o my-amqp-cpp
```
HOW TO USE AMQP-CPP
===================
[Back to Table of Contents](#table-of-contents)
AMQP-CPP operates in a network-agnostic fashion. It does not do IO by itself.
An object must be provided that defines the IO operations. We have provided the
`ConnectionHandler` base class for you to extend from and create your own object.
This class defines a number of methods called by the library any time it wants
to send data, or if it wants to notify you an error has occurred.
````c++
#include
// You'll need to extend the ConnectionHandler class and make your own, like this
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 occurred
* @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
}
};
````
Even though `ConnectionHandler` methods are not marked `noexcept` explicitly,
you are not expected to throw from them, and the behaviour is undefined if you
do so.
After you've implemented the `ConnectionHandler` class the way you like,
you can start using the library by creating a `Connection` object, and one
or more `Channel` objects:
````c++
// 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. You may notice that we've
created all objects on the stack. You are also free to create them
on the heap with the C++ operator `new`. That works just as well, and
in a real project you will likely want to keep your `Handler`, `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 other operations are
not permitted (like opening a channel or declaring a queue).
It would be better practice to wait for the connection to be ready
(implementing the `MyConnectionHandler::OnReady()` method) and creating the
`Channel` object only then.
However, this is not strictly necessary. Methods called during a handshake
are cached by the AMQP library, and will be executed the moment the handshake
is completed and the connection becomes ready for use.
PARSING INCOMING DATA
=====================
[Back to Table of Contents](#table-of-contents)
The `ConnectionHandler` class has a method `onData()` that is called by the library
every time that it wants to send data. The `onData` method is implemented by you, the user.
For example, you might make system calls to `send()` or `write()` to send data to
the RabbitMQ server. But what about data in the other direction? How does the
library receive data from RabbitMQ?
In this raw setup, the AMQP-CPP library does not do IO by itself, and so does not
receive any data from a socket. You will have to create a socket that connects to
the RabbitMQ server yourself.
Inside your event loop, after checking the socket is 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.
````c++
/**
* 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.
TCP CONNECTIONS
===============
[Back to Table of Contents](#table-of-contents)
Although the AMQP-CPP library gives you extreme flexibility by letting you setup
your own network connections, the reality is that virtually all AMQP connections
use the TCP protocol. To help you out, the library also comes with a
TCP module that takes care of setting up the network connections, and sending
and receiving the data.
With the 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. The `AMQP::ConnectionHandler` goes unused here as well;
In a TCP connection, you create a class that extends 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.
What does need to be implemented by the user is the `monitor()` method,
as that is needed by the AMQP-CPP library to interact with the main event loop.
````c++
#include
#include
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 certificate). 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 occurred
* after the TCP connection was established) and onDetached().
* @param connection The connection on which the error occurred
* @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 its 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. You do not have to
create the sockets and connections yourself, nor do you handle buffering the data.
The example that we gave above looks slightly different if you make use of the TCP module:
````c++
// 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");
````
SECURE CONNECTIONS
==================
[Back to Table of Contents](#table-of-contents)
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:
````c++
// 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
initialization must take place before you 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 it to your
application, 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:
````c++
// 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:
AMQP-CPP will simply permit the connection. 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:
````c++
#include
#include
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.
EXISTING EVENT LOOPS
====================
[Back to Table of Contents](#table-of-contents)
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:
````c++
#include
#include
#include
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 |
HEARTBEATS
==========
[Back to Table of Contents](#table-of-contents)
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.
````c++
#include
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 occurred
* @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.
CHANNELS
========
[Back to Table of Contents](#table-of-contents)
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 successful 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.
````c++
// 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.
CHANNEL CALLBACKS
=================
[Back to Table of Contents](#table-of-contents)
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 do 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.
````c++
// 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.
CHANNEL ERRORS
==============
[Back to Table of Contents](#table-of-contents)
If a channel ever sees an error, the entire channel is invalidated, including
subsequent instructions that were already sent. This means that if you call
multiple methods in a row, and the first method fails, all subsequent methods
will not be executed:
````c++
Channel myChannel(&connection);
myChannel.declareQueue("my-queue"); // If this method fails...
myChannel.declareExchange("my-exchange"); // ...this method will not execute.
````
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 became invalid at the first instruction.
You can overcome this by using multiple channels:
````c++
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:
````c++
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");
}
````
FLAGS AND TABLES
================
[Back to Table of Contents](#table-of-contents)
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.
````c++
/**
* 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); // This version is the most extensive
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:
````c++
// 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(std::move(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.
````c++
// 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
===================
[Back to Table of Contents](#table-of-contents)
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 RabbitMQ ignores most
of them, but the AMQP protocol defines them and 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:
````c++
/**
* 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.
````c++
// 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.
PUBLISHER CONFIRMS
===================
[Back to Table of Contents](#table-of-contents)
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:
````c++
// 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_t 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, 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:
````c++
// 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)
}).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.
}).onError([](const char *message) {
// a channel-error occurred before any ack or nack was received, and the
// message is probably lost (which you might want to handle)
});
````
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. Call `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 is not great
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, etc). 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`:
````c++
// 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:
````c++
// create a channel
AMQP::TcpChannel mychannel(connection);
// create a throttle that allows reliable-publishing
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").onAck([]() {
// @todo add your own code
}).onLost([]() {
// @todo add your own code
});
}
````
For more information, see http://www.rabbitmq.com/confirms.html.
CONSUMING MESSAGES
==================
[Back to Table of Contents](#table-of-contents)
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:
````c++
/**
* 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.
````c++
// 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);
};
// callback that is called when the consumer is cancelled by RabbitMQ (this only happens in
// rare situations, for example when someone removes the queue that you are consuming from)
auto cancelledCb = [](const std::string &consumertag) {
std::cout << "consume operation cancelled by the RabbitMQ server" << std::endl;
};
// start consuming from the queue, and install the callbacks
channel.consume("my-queue")
.onReceived(messageCb)
.onSuccess(startCb)
.onCancelled(cancelledCb)
.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, the consumer also stops.
In some (rare) situations, the consume operation can also be cancelled by the RabbitMQ
server. This for example happens when a queue is removed or becomes unavailable. To
handle this scenario you can install a "onCancelled" callback.
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()`.
UPGRADING
=========
[Back to Table of Contents](#table-of-contents)
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:
- `ConnectionHandler::onConnected` has been renamed to `ConnectionHandler::onReady`
- `TcpHandler::onConnected` is now called sooner: when the TCP connection is
established, instead of when the AMQP connection is ready for instructions.
- The new method `TcpHandler::onReady` is called when the AMQP connection is
ready to be used (this is the old behavior of `TcpHandler::onConnected`)
- `TcpHandler::onError` is no longer the last method that is called (`TcpHandler::onLost`
could be called and `TcpHandler::onDetached` will be called after the error too)
- `TcpHandler::onClosed` is now called to indicate the graceful end of the
AMQP protocol, and not the end of TCP connection.
- `TcpHandler::onLost` is called when the TCP connection is lost or closed.
- The new method `TcpHandler::onDetached` is a better alternative for cleanup
code instead of `TcpHandler::onClosed` and/or `TcpHandler::onError`.
WORK IN PROGRESS
================
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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.