README

qs2 is the successor to the qs package that introduces two new formats: qs2 and qdata. The goal is to have reliable and fast performance for saving and loading objects in R.

The qs2 format directly uses R serialization (via the R_Serialize/R_Unserialize C API) while improving underlying compression and disk IO patterns. If you are familiar with the qs package, the benefits and usage are the same.

qs_save(data, "myfile.qs2")
data <- qs_read("myfile.qs2")

Use the file extension qs2 to distinguish it from the original qs package. It is not compatible with the original qs format.

Installation

install.packages("qs2")

On x64 Mac or Linux (x86 only), you can gain a little more performance with the following configure flag:

remotes::install_cran("qs2", type = "source", configure.args = "--with-simd=AVX2")

Multi-threading in qs2 uses the Intel Thread Building Blocks framework via the RcppParallel package.

Converting qs2 to RDS

Because the qs2 format directly uses R serialization, you can convert it to RDS and vice versa.

file_qs2 <- tempfile(fileext = ".qs2")
file_rds <- tempfile(fileext = ".RDS")
x <- runif(1e6)

# save `x` with qs_save
qs_save(x, file_qs2)

# convert the file to RDS
qs_to_rds(input_file = file_qs2, output_file = file_rds)

# read `x` back in with `readRDS`
xrds <- readRDS(file_rds)
stopifnot(identical(x, xrds))

Validating file integrity

The qs2 format saves an internal checksum. This can be used to test for file corruption before deserialization via the validate_checksum parameter, but has a minor performance penalty.

qs_save(data, "myfile.qs2")
data <- qs_read("myfile.qs2", validate_checksum = TRUE)

Bindings to ZSTD compression library

The package exposes the ZSTD compression library for both in memory data and file workflows.

In memory compression and decompression

Use these functions when you already have raw vectors in memory and want direct control of compression.

x <- serialize(mtcars, connection = NULL)
xz <- zstd_compress_raw(x, compress_level = 3)
x2 <- zstd_decompress_raw(xz)
stopifnot(identical(x, x2))

File compression

These functions mirror typical file compression tools and keep the workflow simple when you want explicit input and output files.

infile <- tempfile()
writeBin(as.raw(1:5), infile)
zfile <- tempfile(fileext = ".zst")
zstd_compress_file(infile, zfile, compress_level = 1)
outfile <- tempfile()
zstd_decompress_file(zfile, outfile)
stopifnot(identical(readBin(infile, "raw", 5), readBin(outfile, "raw", 5)))

zstd_in and zstd_out

These generic wrappers substitute a zstd compressed file for a normal file path, so you can add zstd compression support to existing functions for reading and writing data.

# library(data.table)
save_file <- tempfile(fileext = ".csv.zst")

# write out zstd compressed table
zstd_out(data.table::fwrite, mtcars, file = save_file)

# read in zstd compressed table
dt <- zstd_in(data.table::fread, file = save_file)

The qdata format

The package also introduces the qdata format which has its own serialization layout and works with only data types (vectors, lists, data frames, matrices).

It will replace internal types (functions, promises, external pointers, environments, objects) with NULL. The qdata format differs from the qs2 format in that it is not general, but is more performant.

qd_save(data, "myfile.qdata")
data <- qd_read("myfile.qdata")

For the upcoming CRAN release, qdata does not use ALTREP but should be restored in the release after.

Usage in C/C++

Serialization functions can be accessed in compiled code. Below is an example using Rcpp.

// [[Rcpp::depends(qs2)]]
#include <Rcpp.h>
#include "qs2_external.h"
using namespace Rcpp;

// [[Rcpp::export]]
SEXP test_qs_serialize(SEXP x) {
  SEXP buffer = qs_serialize(x, 10, true, 4);
  return qs_deserialize(buffer, false, 4);
}

// [[Rcpp::export]]
SEXP test_qd_serialize(SEXP x) {
  SEXP buffer = qd_serialize(x, 10, true, true, 4);
  return qd_deserialize(buffer, false, false, 4);
}

// [[Rcpp::export]]
SEXP test_qs_save(SEXP x, const std::string& path) {
  qs_save(x, path, 10, true, 4);
  return qs_read(path, false, 4);
}

// [[Rcpp::export]]
SEXP test_qd_save(SEXP x, const std::string& path) {
  qd_save(x, path, 10, true, true, 4);
  return qd_read(path, false, false, 4);
}

/*** R
x <- runif(1e7)
stopifnot(identical(test_qs_serialize(x), x))
stopifnot(identical(test_qd_serialize(x), x))
stopifnot(identical(test_qs_save(x, tempfile(fileext = ".qs2")), x))
stopifnot(identical(test_qd_save(x, tempfile(fileext = ".qd")), x))
*/

qdata-cpp external wrappers

You can serialize and de-serialize qdata format outside the R API. Functions for doing so are exported in qdata_cpp_external.h.

You can also compile these independently in inst/include/qdata-cpp and include in a standalone C++ project.

// [[Rcpp::depends(qs2)]]
#include <Rcpp.h>
#include "qdata_cpp_external.h"

// [[Rcpp::export]]
Rcpp::IntegerVector qdata_ext_roundtrip() {
  std::vector<std::int32_t> x{1, 2, 3, 4};
  auto bytes = qdata_ext::serialize(x);
  qdata_ext::object out = qdata_ext::deserialize(bytes);
  const auto& ints = qdata_ext::get<qdata_ext::integer_vector>(out).values;
  return Rcpp::IntegerVector(ints.begin(), ints.end());
}

// [[Rcpp::export]]
Rcpp::IntegerVector qdata_ext_file_roundtrip(const std::string& path) {
  std::vector<std::int32_t> x{1, 2, 3, 4};
  qdata_ext::save(path, x);
  qdata_ext::object out = qdata_ext::read(path);
  const auto& ints = qdata_ext::get<qdata_ext::integer_vector>(out).values;
  return Rcpp::IntegerVector(ints.begin(), ints.end());
}

/*** R
stopifnot(identical(qdata_ext_roundtrip(), 1:4))
stopifnot(identical(qdata_ext_file_roundtrip(tempfile(fileext = ".qdata")), 1:4))
*/

Global Options for qs2

The following global options control the behavior of the qs2 functions. These global options can be queried or modified using qopt function.