Optimized, permissively licensed C++ implementations for reading and writing protocol-buffers. Currently supports rexp.proto for serializing R objects and geobuf.proto for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R.
This small package contains optimized C++ implementations for reading and writing protocol-buffers. Currently it supports rexp.proto
for serializing R objects and geobuf.proto
for geojson data. To extend the package with additional formats, put your .proto
file in the src
directory. The package configure script will automatically generate the code and header file to include in your C++ bindings.
The protolite package is much faster than RProtoBuf because it binds directly to generated C++ code from the protoc
compiler. RProtoBuf on the other hand uses the more flexible but slower reflection-based interface, which parses the descriptors at runtime. With RProtoBuf you can create new protocol buffers of a schema, read in arbitrary .proto files, manipulate fields, and generate / parse .prototext ascii format protocol buffers. For more details have a look at our paper: RProtoBuf: Efficient Cross-Language Data Serialization in R.
# Serialize and unserialize an object
library(protolite)
buf <- serialize_pb(iris)
out <- unserialize_pb(buf)
stopifnot(identical(iris, out))
# Fully compatible with RProtoBuf
buf <- RProtoBuf::serialize_pb(iris, NULL)
out <- protolite::unserialize_pb(buf)
stopifnot(identical(iris, out))
# Other way around
buf <- protolite::serialize_pb(mtcars, NULL)
out <- RProtoBuf::unserialize_pb(buf)
stopifnot(identical(mtcars, out))
Use the countries.geo.json example data:
# Example data
download.file("https://github.com/johan/world.geo.json/raw/master/countries.geo.json",
"countries.geo.json")
# Convert geojson to geobuf
buf <- json2geobuf("countries.geo.json")
writeBin(buf, "countries.buf")
# The other way around
geobuf2json(buf) #either in memory
geobuf2json("countries.buf") #or from disk
# Read directly from geobuf
mydata <- read_geobuf("countries.buf")
Binary packages for OS-X or Windows can be installed directly from CRAN:
install.packages("protolite")
Installation from source on Linux or OSX requires Google's Protocol Buffers library. On Debian or Ubuntu install libprotobuf-dev and protobuf-compiler:
sudo apt-get install -y libprotobuf-dev protobuf-compiler
On Fedora we need protobuf-devel:
sudo yum install protobuf-devel
On CentOS / RHEL we install protobuf-devel via EPEL:
sudo yum install epel-release
sudo yum install protobuf-devel
On OS-X use protobuf from Homebrew:
brew install protobuf