R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library implementing ‘Scalability Protocols’, a reliable, high-performance standard for common communications patterns including publish/subscribe, request/reply and service discovery, over in-process, IPC, TCP, WebSocket and secure TLS transports.
As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing, with intuitive ‘aio’ objects which resolve automatically upon completion of asynchronous operations, and synchronisation primitives allowing R to wait upon events signalled by concurrent threads.
Designed for performance and reliability, nanonext
is a lightweight wrapper around the NNG C library, and is itself
implemented almost entirely in C.
Provides the interface for code and processes to communicate with each other - receive data generated in Python, perform analysis in R, and send results to a C++ program – on the same computer or across networks spanning the globe.
Implemented scalability protocols:
Supported transports:
Development of the TLS implementation was generously supported by the
.
Web utilities:
messenger()
- console-based instant messaging with
authenticationnanonext
offers 2 equivalent interfaces: a functional
interface, and an object-oriented interface.
The primary object in the functional interface is the Socket. Use
socket()
to create a socket and dial or listen at an
address. The socket is then passed as the first argument of subsequent
actions such as send()
or recv()
.
Example using Request/Reply (REQ/REP) protocol with inproc
transport:
(The inproc transport uses zero-copy where
possible for a much faster solution than alternatives)
Create sockets:
library(nanonext)
<- socket("req", listen = "inproc://nanonext")
socket1 <- socket("rep", dial = "inproc://nanonext") socket2
Send message from ‘socket1’:
send(socket1, "hello world!")
#> [1] 0
Receive message using ‘socket2’:
recv(socket2)
#> [1] "hello world!"
The primary object in the object-oriented interface is the nano
object. Use nano()
to create a nano object which
encapsulates a Socket and Dialer/Listener. Methods such as
$send()
or $recv()
can then be accessed
directly from the object.
Example using Pipeline (Push/Pull) protocol with TCP/IP transport:
Create nano objects:
library(nanonext)
<- nano("push", listen = "tcp://127.0.0.1:5555")
nano1 <- nano("pull", dial = "tcp://127.0.0.1:5555") nano2
Send message from ‘nano1’:
$send("hello world!")
nano1#> [1] 0
Receive message using ‘nano2’:
$recv()
nano2#> [1] "hello world!"
Please refer to the nanonext vignette for full package functionality.
This may be accessed within R by:
vignette("nanonext", package = "nanonext")
Install the latest release from CRAN or R-multiverse:
install.packages("nanonext")
The current development version is available from R-universe:
install.packages("nanonext", repos = "https://shikokuchuo.r-universe.dev")
Installation from source requires ‘libnng’ >= v1.6.0 and ‘libmbedtls’ >= 2.5.0 (suitable installations are automatically detected), or else ‘cmake’ to compile ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 included within the package sources.
It is recommended for optimal performance and stability to
let the package automatically compile bundled versions of ‘libmbedtls’
and ‘libnng’ during installation. To ensure the libraries are
compiled from source even if system installations are present, set the
NANONEXT_LIBS
environment variable prior to installation
e.g. by Sys.setenv(NANONEXT_LIBS = 1)
.
As system libraries, ‘libnng’ is available as libnng-dev (deb) or
nng-devel (rpm), and ‘libmbedtls’ as libmbedtls-dev (deb) or
libmbedtls-devel (rpm). The INCLUDE_DIR
and
LIB_DIR
environment variables may be set prior to package
installation to specify a custom location for ‘libmbedtls’ or ‘libnng’
other than the standard filesystem locations.
Additional requirements for Solaris: (i) the ‘xz’ package - available on OpenCSW, and (ii) a more recent version of ‘cmake’ than available on OpenCSW - refer to the ‘cmake’ website for the latest source file.
For R >= 4.2 using the ‘Rtools42’ or newer toolchains, ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 will be automatically compiled from the package sources during installation.
For previous R versions, pre-compiled ‘libnng’ v1.8.0 (patched) and ‘libmbedtls’ v3.5.2 libraries are downloaded and used for installation instead.
We would like to acknowledge in particular:
nanonext
.nanonext
with later
to
support the next generation of completely event-driven ‘promises’.Links:
◈ nanonext R package: https://shikokuchuo.net/nanonext/
nanonext is listed in CRAN Task Views:
NNG: https://nng.nanomsg.org/
Mbed TLS: https://www.trustedfirmware.org/projects/mbed-tls/
–
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.