Package 'sparsepp'

Title: 'Rcpp' Interface to 'sparsepp'
Description: Provides interface to 'sparsepp' - fast, memory efficient hash map. It is derived from Google's excellent 'sparsehash' implementation. We believe 'sparsepp' provides an unparalleled combination of performance and memory usage, and will outperform your compiler's unordered_map on both counts. Only Google's 'dense_hash_map' is consistently faster, at the cost of much greater memory usage (especially when the final size of the map is not known in advance).
Authors: Gregory Popovitch [aut, cph], Google Inc [aut, cph], Dmitriy Selivanov [cre]
Maintainer: Dmitriy Selivanov <[email protected]>
License: BSD_3_clause + file LICENSE
Version: 1.22
Built: 2024-11-21 02:48:07 UTC
Source: https://github.com/dselivanov/r-sparsepp

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sparsepp

Description

sparsepp provides bindings to the sparsepp - fast, memory efficient hash map for C++. sparsepp is an open source C++ library derived from Google's excellent sparsehash implementation, but considerably outperform it - https://github.com/greg7mdp/sparsepp/blob/master/bench.md. It aims to achieve the following objectives:

  • A drop-in alternative for unordered_map and unordered_set.

  • Extremely low memory usage (typically about one byte overhead per entry).

  • Very efficient, typically faster than your compiler's unordered map/set or Boost's.

  • C++11 support (if supported by compiler).

  • Single header implementation - just copy sparsepp.h to your project and include it.

  • Tested on Windows (vs2010-2015, g++), linux (g++, clang++) and MacOS (clang++).

Author(s)

Maintainer: Dmitriy Selivanov [email protected]

Authors:

See Also

Useful links:

Examples

## Not run: 
library(Rcpp)
code = "
// [[Rcpp::plugins(cpp11)]]
#include <Rcpp.h>
using namespace std;
using namespace Rcpp;
// drop-in replacement for unordered_map
//#include <unordered_map>
#include <sparsepp/spp.h>
//[[Rcpp::depends(sparsepp)]]
using spp::sparse_hash_map;
// @export
// [[Rcpp::export]]
IntegerVector word_count(CharacterVector v) {
  //unordered_map<string, int> smap;
  sparse_hash_map<string, int> smap;
  for(auto x: v) {
    smap[as<string>(x)] ++;
  }
  IntegerVector res(smap.size());
  int i = 0;
  for(auto s:smap) {
    res[i]=s.second;
    i++;
  }
  return(res);
}"
f = tempfile(, fileext = ".cpp")
writeLines(code, f)
sourceCpp(f)
unlink(f)
word_count(sample(letters, 100, T))

## End(Not run)