Eclipse Cyclone DDS project
Eclipse Cyclone DDS is a very performant and robust open-source DDS implementation. Cyclone DDS is developed completely in the open as an Eclipse IoT project (see eclipse-cyclone-dds) with a growing list of adopters (if you're one of them, please add your logo). It is a tier-1 middleware for the Robot Operating System ROS 2.
Consult the roadmap for a high-level overview of upcoming features.
In order to build Cyclone DDS you need a Linux, Mac or Windows 10 machine (or, with some caveats, a *BSD, OpenIndiana or a Solaris 2.6 one) with the following installed on your host:
ENABLE_SSL=NO, which is very useful for reducing the footprint or when the FindOpenSSL CMake script gives you trouble;
apt install bisonshould do the trick for getting Bison installed, and the rest should already be there. On Windows, installing chocolatey and
choco install winflexbison3should get you a long way. On macOS,
brew install bisonis easiest.
To obtain Eclipse Cyclone DDS, do
$ git clone https://github.com/eclipse-cyclonedds/cyclonedds.git $ cd cyclonedds $ mkdir build
Depending on whether you want to develop applications using Cyclone DDS or contribute to it you can follow different procedures
To build and install the required libraries needed to develop your own applications using Cyclone DDS requires a few simple steps. There are some small differences between Linux and macOS on the one hand, and Windows on the other. For Linux or macOS:
$ cd build $ cmake -DCMAKE_INSTALL_PREFIX= -DBUILD_EXAMPLES=ON .. $ cmake --build .
and for Windows:
$ cd build $ cmake -G "" -DCMAKE_INSTALL_PREFIX= -DBUILD_EXAMPLES=ON .. $ cmake --build .
where you should replaceby the directory under which you would like to install Cyclone DDS and by one of the ways CMake generators offer for generating build files. For example, "Visual Studio 15 2017 Win64" would target a 64-bit build using Visual Studio 2017.
To install it after a successful build, do:
$ cmake --build . --target install
which will copy everything to:
Depending on the installation location you may need administrator privileges.
At this point you are ready to use Eclipse Cyclone DDS in your own projects.
Note that the default build type is a release build with debug information included (RelWithDebInfo), which is generally the most convenient type of build to use from applications because of a good mix between performance and still being able to debug things. If you'd rather have a Debug or pure Release build, set
We very much welcome all contributions to the project, whether that is questions, examples, bug fixes, enhancements or improvements to the documentation, or anything else really. When considering contributing code, it might be good to know that build configurations for Travis CI and AppVeyor are present in the repository and that there is a test suite using CTest and CUnit that can be built locally if desired. To build it, set the cmake variable
BUILD_TESTINGto on when configuring, e.g.:
$ cd build $ cmake -DCMAKE_BUILD_TYPE=Debug -DBUILD_TESTING=ON .. $ cmake --build . $ ctest
Such a build requires the presence of CUnit. You can install this yourself, or you can choose to instead rely on the Conan packaging system that the CI build infrastructure also uses. In that case, install Conan and do:
$ conan install .. --build missing
in the build directory prior to running cmake.
For Windows, depending on the generator, you might also need to add switches to select the architecture and build type, e.g.,
conan install -s arch=x86_64 -s build_type=Debug ..This will automatically download and/or build CUnit (and, at the moment, OpenSSL).
The documentation is still rather limited, and at the moment only available in the sources (in the form of restructured text files in
docsand Doxygen comments in the header files), or as a PDF. The intent is to automate the process of building the documentation and have them available in more convenient formats and in the usual locations.
We will show you how to build and run an example program that measures latency. The examples are built automatically when you build Cyclone DDS, so you don't need to follow these steps to be able to run the program, it is merely to illustrate the process.
$ mkdir roundtrip $ cd roundtrip $ cmake /share/CycloneDDS/examples/roundtrip $ cmake --build .
On one terminal start the application that will be responding to pings:
On another terminal, start the application that will be sending the pings:
$ ./RoundtripPing 0 0 0 # payloadSize: 0 | numSamples: 0 | timeOut: 0 # Waiting for startup jitter to stabilise # Warm up complete. # Latency measurements (in us) # Latency [us] Write-access time [us] Read-access time [us] # Seconds Count median min 99% max Count median min Count median min 1 28065 17 16 23 87 28065 8 6 28065 1 0 2 28115 17 16 23 46 28115 8 6 28115 1 0 3 28381 17 16 22 46 28381 8 6 28381 1 0 4 27928 17 16 24 127 27928 8 6 27928 1 0 5 28427 17 16 20 47 28427 8 6 28427 1 0 6 27685 17 16 26 51 27685 8 6 27685 1 0 7 28391 17 16 23 47 28391 8 6 28391 1 0 8 27938 17 16 24 63 27938 8 6 27938 1 0 9 28242 17 16 24 132 28242 8 6 28242 1 0 10 28075 17 16 23 46 28075 8 6 28075 1 0
The numbers above were measured on Mac running a 4.2 GHz Intel Core i7 on December 12th 2018. From these numbers you can see how the roundtrip is very stable and the minimal latency is now down to 17 micro-seconds (used to be 25 micro-seconds) on this HW.
Reliable message throughput is over 1MS/s for very small samples and is roughly 90% of GbE with 100 byte samples, and latency is about 30us when measured using ddsperf between two Intel(R) Xeon(R) CPU E3-1270 V2 @ 3.50GHz (that's 2012 hardware ...) running Ubuntu 16.04, with the executables built on Ubuntu 18.04 using gcc 7.4.0 for a default (i.e., "RelWithDebInfo") build.
This is with the subscriber in listener mode, using asynchronous delivery for the throughput test. The configuration is a marginally tweaked out-of-the-box configuration: an increased maximum message size and fragment size, and an increased high-water mark for the reliability window on the writer side. For details, see the scripts directory, the environment details and the throughput and latency data underlying the graphs. These also include CPU usage (throughput and latency) and memory usage.
The out-of-the-box configuration should usually be fine, but there are a great many options that can be tweaked by creating an XML file with the desired settings and defining the
CYCLONEDDS_URIto point to it. E.g. (on Linux):
$ cat cyclonedds.xml auto default 65500B 4000B 500kB config stdout $ export CYCLONEDDS_URI=file://$PWD/cyclonedds.xml
(on Windows, one would have to use
This example shows a few things:
NetworkInterfaceAddresscan be used to override the interface selected by default (you can use the address or the interface name). Proper use of multiple network interfaces simultaneously will come, but is not there yet.
AllowMulticastconfigures the circumstances under which multicast will be used. If the selected interface doesn't support it, it obviously won't be used (
false); but if it does support it, the type of the network adapter determines the default value. For a wired network, it will use multicast for initial discovery as well as for data when there are multiple peers that the data needs to go to (
true); but on a WiFi network it will use it only for initial discovery (
spdp), because multicast on WiFi is very unreliable.
Verbosityallows control over the tracing, "config" dumps the configuration to the trace output (which defaults to "cyclonedds.log"). Which interface is used, what multicast settings are used, etc., is all in the trace. Setting the verbosity to "finest" gives way more output on the inner workings, and there are various other levels as well.
FragmentSizecontrol the maximum size of the RTPS messages (basically the size of the UDP payload), and the size of the fragments into which very large samples get split (which needs to be "a bit" less). Large values such as these typically improve performance over the (current) default values.
WhcHighdetermines when the sender will wait for acknowledgements from the readers because it has buffered too much unacknowledged data. There is some auto-tuning, the (current) default value is a bit small to get really high throughput.
"Eclipse Cyclone DDS" and "Cyclone DDS" are trademarks of the Eclipse Foundation.
"DDS" is a trademark of the Object Management Group, Inc.
"ROS" is a trademark of Open Source Robotics Foundation, Inc.