stringfish
                                
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                        stringfish
stringfish is a framework for performing string and sequence
operations using the ALTREP system to speed up the computation of common
string operations.
The ultimate goal of the package is to unify ALTREP string implementations under a common framework.
The ALTREP system (new as of R 3.5.0) allows package developers to
represent R objects using their own custom memory layout, completely
invisible to the user. stringfish represents string data as a simple
C++/STL vector, which is very fast and lightweight.
Using normal R functions to process string data (e.g. substr, gsub,
paste, etc.) causes “materialization” of ALTREP vectors to normal R
data, which can be a slow process. Therefore, in order to take full
advantage of the ALTREP framework, string processing functions need to
be re-written to be ALTREP aware. This package hopes to fulfill that
purpose.
Installation
install.packages("stringfish", type="source", configure.args="--with-simd=AVX2")
Benchmark
The simplest way to show the utility of the ALTREP framework is through
a quick benchmark comparing stringfish and base R.

Yes you are reading the graph correctly: some functions in stringfish
are more than an order of magnitude faster than vectorized base R
operations (and even faster with some build in multithreading). On large
text datasets, this can turn minutes of computation into seconds.
Currently implemented functions
A list of implemented stringfish functions and analogous base R
functions:
- sf_iconv(- iconv)
- sf_nchar(- nchar)
- sf_substr(- substr)
- sf_paste(- paste0)
- sf_collapse(- paste0)
- sf_readLines(- readLines)
- sf_writeLines(- writeLines)
- sf_grepl(- grepl)
- sf_gsub(- gsub)
- sf_toupper(- toupper)
- sf_tolower(- tolower)
- sf_starts(- startsWith)
- sf_ends(- endsWith)
- sf_trim(- trimws)
- sf_split(- strsplit)
- sf_match(- matchfor strings only)
- sf_compare/- sf_equals(- ==, ALTREP-aware string equality)
Utility functions:
- sf_vector– creates a new and empty- stringfishvector
- sf_assign– assign strings into a- stringfishvector in place (like- x[i] <- "mystring")
- sf_convert/- convert_to_sf– converts a character vector to a- stringfishvector
- get_string_type– determines string type (whether ALTREP or normal)
- materialize– converts any ALTREP object into a normal R object
- random_strings– creates random strings as either a- stringfishor normal R vector
- string_identical– like- identicalfor strings but also requires identical encoding (i.e. latin1 and UTF-8 strings will not match)
In addition, many R operations in base R and other packages are already ALTREP-aware (i.e. they don’t cause materialization). Functions that subset or index into string vectors generally do not materialize.
- sample
- head
- tail
- [– e.g.- x[20:30]
- dplyr::filter– e.g.- dplyr::filter(df, sf_starts("a"))
- Etc.
stringfish functions are not intended to exactly replicate their base
R analogues. One difference is that subject parameters are always the
first argument, which is easier to use with pipes (%>%). E.g.,
gsub(pattern, replacement, subject) becomes sf_gsub(subject, pattern, replacement).
Extensibility
stringfish as a framework is intended to be easily extensible.
Stringfish vectors can be worked into Rcpp scripts or even into other
packages (see the qs package for an example).
Below is a detailed Rcpp script that creates a function to alternate
upper and lower case of strings.
// [[Rcpp::plugins(cpp11)]]
// [[Rcpp::depends(stringfish)]]
#include <Rcpp.h>
#include "sf_external.h"
using namespace Rcpp;
// [[Rcpp::export]]
SEXP sf_alternate_case(SEXP x) {
  // Iterate through a character vector using the RStringIndexer class
  // If the input vector x is a stringfish character vector it will do so without materialization
  RStringIndexer r(x);
  size_t len = r.size();
  
  // Create an output stringfish vector
  // Like all R objects, it must be protected from garbage collection
  SEXP output = PROTECT(sf_vector(len));
  
  // Obtain a reference to the underlying output data
  sf_vec_data & output_data = sf_vec_data_ref(output);
  
  // You can use range based for loop via an iterator class that returns RStringIndexer::rstring_info e
  // rstring info is a struct containing const char * ptr (null terminated), int len, and cetype_t enc
  // a NA string is represented by a nullptr
  // Alternatively, access the data via the function r.getCharLenCE(i)
  size_t i = 0;
  for(auto e : r) {
    // check if string is NA and go to next if it is
    if(e.ptr == nullptr) {
      i++; // increment output index
      continue;
    }
    // create a temporary output string and process the results
    std::string temp(e.len, '\0');
    bool case_switch = false;
    for(int j=0; j<e.len; j++) {
      if((e.ptr[j] >= 65) & (e.ptr[j] <= 90)) { // char j is upper case
        if((case_switch = !case_switch)) { // check if we should convert to lower case
          temp[j] = e.ptr[j] + 32;
          continue;
        }
      } else if((e.ptr[j] >= 97) & (e.ptr[j] <= 122)) { // char j is lower case
        if(!(case_switch = !case_switch)) { // check if we should convert to upper case
          temp[j] = e.ptr[j] - 32;
          continue;
        }
      } else if(e.ptr[j] == 32) {
        case_switch = false;
      }
      temp[j] = e.ptr[j];
    }
    
    // Create a new vector element sfstring and insert the processed string into the stringfish vector
    // sfstring has three constructors, 1) taking a std::string and encoding, 
    // 2) a char pointer and encoding, or 3) a CHARSXP object (e.g. sfstring(NA_STRING))
    output_data[i] = sfstring(temp, e.enc);
    i++; // increment output index
  }
  // Finally, call unprotect and return result
  UNPROTECT(1);
  return output;
}
Example function call:
sf_alternate_case("hello world") 
[1] "hElLo wOrLd"
To do
- Additional functions
- ICU library functions