Pure C++ implementations for reading and writing several common data formats based on Google protocol-buffers. Currently supports 'rexp.proto' for serialized R objects, 'geobuf.proto' for binary geojson, and 'mvt.proto' for vector tiles. This package uses the auto-generated C++ code by protobuf-compiler, hence the entire serialization is optimized at compile time. The 'RProtoBuf' package on the other hand uses the protobuf runtime library to provide a general- purpose toolkit for reading and writing arbitrary protocol-buffer data in R.
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 objectlibrary(protolite)buf <- serialize_pb(iris)out <- unserialize_pb(buf)stopifnot(identical(iris, out))# Fully compatible with RProtoBufbuf <- RProtoBuf::serialize_pb(iris, NULL)out <- protolite::unserialize_pb(buf)stopifnot(identical(iris, out))# Other way aroundbuf <- protolite::serialize_pb(mtcars, NULL)out <- RProtoBuf::unserialize_pb(buf)stopifnot(identical(mtcars, out))
Use the countries.geo.json example data:
# Example datadownload.file("","countries.geo.json")# Convert geojson to geobufbuf <- json2geobuf("countries.geo.json")writeBin(buf, "countries.buf")# The other way aroundgeobuf2json(buf) #either in memorygeobuf2json("countries.buf") #or from disk# Read directly from geobufmydata <- read_geobuf("countries.buf")
Binary packages for OS-X or Windows can be installed directly from CRAN:
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