Ddoc $(COMMUNITY D Strings vs C++ Strings, Why have strings built-in to the core language of D rather than entirely in a library as in C++ Strings? What's the point? Where's the improvement?

Concatenation Operator

$(P C++ Strings are stuck with overloading existing operators. The obvious choice for concatenation is += and +. But someone just looking at the code will see + and think "addition". He'll have to look up the types (and types are frequently buried behind multiple typedef's) to see that it's a string type, and it's not adding strings but concatenating them. ) $(P Additionally, if one has an array of floats, is $(SINGLEQUOTE +) overloaded to be the same as a vector addition, or an array concatenation? ) $(P In D, these problems are avoided by introducing a new binary operator ~ as the concatenation operator. It works with arrays (of which strings are a subset). ~= is the corresponding append operator. ~ on arrays of floats would concatenate them, + would imply a vector add. Adding a new operator makes it possible for orthogonality and consistency in the treatment of arrays. (In D, strings are simply arrays of characters, not a special type.) )

Interoperability With C String Syntax

$(P Overloading of operators only really works if one of the operands is overloadable. So the C++ string class cannot consistently handle arbitrary expressions containing strings. Consider: ) $(CCODE const char abc[5] = "world"; string str = "hello" + abc; ) $(P That isn't going to work. But it does work when the core language knows about strings: ) $(CCODE const char[5] abc = "world"; char[] str = "hello" ~ abc; )

Consistency With C String Syntax

$(P There are three ways to find the length of a string in C++: ) $(CCODE const char abc[] = "world"; : sizeof(abc)/sizeof(abc[0])-1 : strlen(abc) string str; : str.length() ) $(P That kind of inconsistency makes it hard to write generic templates. Consider D: ) ----------------------- char[5] abc = "world"; : abc.length char[] str : str.length -----------------------

Checking For Empty Strings

$(P C++ strings use a function to determine if a string is empty: ) $(CCODE string str; if (str.empty()) // string is empty ) $(P In D, an empty string has zero length: ) ----------------------- char[] str; if (!str.length) // string is empty -----------------------

Resizing Existing String

$(P C++ handles this with the resize() member function: ) $(CCODE string str; str.resize(newsize); ) $(P D takes advantage of knowing that str is an array, and so resizing it is just changing the length property: ) ----------------------- char[] str; str.length = newsize; -----------------------

Slicing a String

$(P C++ slices an existing string using a special constructor: ) $(CCODE string s1 = "hello world"; string s2(s1, 6, 5); // s2 is "world" ) $(P D has the array slice syntax, not possible with C++: ) ----------------------- string s1 = "hello world"; string s2 = s1[6 .. 11]; // s2 is "world" ----------------------- $(P Slicing, of course, works with any array in D, not just strings. )

Copying a String

$(P C++ copies strings with the replace function: ) $(CCODE string s1 = "hello world"; string s2 = "goodbye "; s2.replace(8, 5, s1, 6, 5); // s2 is "goodbye world" ) $(P D uses the slice syntax as an lvalue: ) ----------------------- char[] s1 = "hello world".dup; char[] s2 = "goodbye ".dup; s2[8..13] = s1[6..11]; // s2 is "goodbye world" ----------------------- $(P The $(CODE .dup) is needed because string literals are read-only in D, the $(CODE .dup) will create a copy that is writable. )

Conversions to C Strings

$(P This is needed for compatibility with C API's. In C++, this uses the c_str() member function: ) $(CCODE void foo(const char *); string s1; foo(s1.c_str()); ) $(P In D, strings can be converted to char* using the .ptr property: ) ----------------------- void foo(char*); char[] s1; foo(s1.ptr); ----------------------- $(P although for this to work where $(TT foo) expects a 0 terminated string, $(TT s1) must have a terminating 0. Alternatively, the function $(TT std.string.toStringz) will ensure it:) ----------------------- void foo(char*); char[] s1; foo(std.string.$(B toStringz)(s1)); -----------------------

Array Bounds Checking

$(P In C++, string array bounds checking for [] is not done. In D, array bounds checking is on by default and it can be turned off with a compiler switch after the program is debugged. )

String Switch Statements

$(P Are not possible in C++, nor is there any way to add them by adding more to the library. In D, they take the obvious syntactical forms: ) ----------------------- switch (str) { case "hello": case "world": ... } ----------------------- $(P where str can be any of literal "string"s, fixed string arrays like char[10], or dynamic strings like char[]. A quality implementation can, of course, explore many strategies of efficiently implementing this based on the contents of the case strings. )

Filling a String

$(P In C++, this is done with the replace() member function: ) $(CCODE string str = "hello"; str.replace(1,2,2,'?'); // str is "h??lo" ) $(P In D, use the array slicing syntax in the natural manner: ) ----------------------- char[5] str = "hello"; str[1..3] = '?'; // str is "h??lo" -----------------------

Value vs Reference

$(P C++ strings, as implemented by STLport, are by value and are 0-terminated. [The latter is an implementation choice, but STLport seems to be the most popular implementation.] This, coupled with no garbage collection, has some consequences. First of all, any string created must make its own copy of the string data. The $(SINGLEQUOTE owner) of the string data must be kept track of, because when the owner is deleted all references become invalid. If one tries to avoid the dangling reference problem by treating strings as value types, there will be a lot of overhead of memory allocation, data copying, and memory deallocation. Next, the 0-termination implies that strings cannot refer to other strings. String data in the data segment, stack, etc., cannot be referred to. ) $(P D strings are reference types, and the memory is garbage collected. This means that only references need to be copied, not the string data. D strings can refer to data in the static data segment, data on the stack, data inside other strings, objects, file buffers, etc. There's no need to keep track of the $(SINGLEQUOTE owner) of the string data. ) $(P The obvious question is if multiple D strings refer to the same string data, what happens if the data is modified? All the references will now point to the modified data. This can have its own consequences, which can be avoided if the copy-on-write convention is followed. All copy-on-write is is that if a string is written to, an actual copy of the string data is made first. ) $(P The result of D strings being reference only and garbage collected is that code that does a lot of string manipulating, such as an lzw compressor, can be a lot more efficient in terms of both memory consumption and speed. )

Benchmark

$(P Let's take a look at a small utility, wordcount, that counts up the frequency of each word in a text file. In D, it looks like this: ) ----------------------- import std.file; import std.stdio; int main (char[][] args) { int w_total; int l_total; int c_total; int[char[]] dictionary; writefln(" lines words bytes file"); for (int i = 1; i < args.length; ++i) { char[] input; int w_cnt, l_cnt, c_cnt; int inword; int wstart; input = cast(char[])std.file.read(args[i]); for (int j = 0; j < input.length; j++) { char c; c = input[j]; if (c == '\n') ++l_cnt; if (c >= '0' && c <= '9') { } else if (c >= 'a' && c <= 'z' || c >= 'A' && c <= 'Z') { if (!inword) { wstart = j; inword = 1; ++w_cnt; } } else if (inword) { char[] word = input[wstart .. j]; dictionary[word]++; inword = 0; } ++c_cnt; } if (inword) { char[] w = input[wstart .. input.length]; dictionary[w]++; } writefln("%8s%8s%8s %s", l_cnt, w_cnt, c_cnt, args[i]); l_total += l_cnt; w_total += w_cnt; c_total += c_cnt; } if (args.length > 2) { writefln("--------------------------------------%8s%8s%8s total", l_total, w_total, c_total); } writefln("--------------------------------------"); foreach (char[] word1; dictionary.keys.sort) { writefln("%3d %s", dictionary[word1], word1); } return 0; } ----------------------- $(P (An $(LINK2 wc.html, alternate implementation) that uses buffered file I/O to handle larger files.)) $(P Two people have written C++ implementations using the C++ standard template library, wccpp1 and $(LINK2 #wccpp2, wccpp2). The input file $(LINK2 http://www.gutenberg.org/dirs/etext91/alice30.txt, alice30.txt) is the text of "Alice in Wonderland." The D compiler, dmd, and the C++ compiler, dmc, share the same optimizer and code generator, which provides a more apples to apples comparison of the efficiency of the semantics of the languages rather than the optimization and code generator sophistication. Tests were run on a Win XP machine. dmc uses STLport for the template implementation. ) $(TABLE1 $(TR $(TH Program) $(TH Compile) $(TH Compile Time) $(TH Run) $(TH Run Time) ) $(TR $(TD D wc) $(TD dmd wc -O -release) $(TD 0.0719) $(TD wc alice30.txt >log) $(TD 0.0326) ) $(TR $(TD C++ wccpp1) $(TD dmc wccpp1 -o -I\dm\stlport\stlport) $(TD 2.1917) $(TD wccpp1 alice30.txt >log) $(TD 0.0944) ) $(TR $(TD C++ wccpp2) $(TD dmc wccpp2 -o -I\dm\stlport\stlport) $(TD 2.0463) $(TD wccpp2 alice30.txt >log) $(TD 0.1012) ) ) $(P The following tests were run on linux, again comparing a D compiler ($(LINK2 http://home.earthlink.net/~dvdfrdmn/d, gdc)) and a C++ compiler ($(B g++)) that share a common optimizer and code generator. The system is Pentium III 800MHz running RedHat Linux 8.0 and gcc 3.4.2. The Digital Mars D compiler for linux ($(B dmd)) is included for comparison. ) $(TABLE1 $(TR $(TH Program) $(TH Compile) $(TH Compile Time) $(TH Run) $(TH Run Time) ) $(TR $(TD D wc) $(TD gdc -O2 -frelease -o wc wc.d) $(TD 0.326) $(TD wc alice30.txt > /dev/null) $(TD 0.041) ) $(TR $(TD D wc) $(TD dmd wc -O -release) $(TD 0.235) $(TD wc alice30.txt > /dev/null) $(TD 0.041) ) $(TR $(TD C++ wccpp1) $(TD g++ -O2 -o wccpp1 wccpp1.cc) $(TD 2.874) $(TD wccpp1 alice30.txt > /dev/null) $(TD 0.086) ) $(TR $(TD C++ wccpp2) $(TD g++ -O2 -o wccpp2 wccpp2.cc) $(TD 2.886) $(TD wccpp2 alice30.txt > /dev/null) $(TD 0.095) ) ) $(P These tests compare gdc with g++ on a PowerMac G5 2x2.0GHz running MacOS X 10.3.5 and gcc 3.4.2. (Timings are a little less accurate.) ) $(TABLE1 $(TR $(TH Program) $(TH Compile) $(TH Compile Time) $(TH Run) $(TH Run Time) ) $(TR $(TD D wc) $(TD gdc -O2 -frelease -o wc wc.d) $(TD 0.28) $(TD wc alice30.txt > /dev/null) $(TD 0.03) ) $(TR $(TD C++ wccpp1) $(TD g++ -O2 -o wccpp1 wccpp1.cc) $(TD 1.90) $(TD wccpp1 alice30.txt > /dev/null) $(TD 0.07) ) $(TR $(TD C++ wccpp2) $(TD g++ -O2 -o wccpp2 wccpp2.cc) $(TD 1.88) $(TD wccpp2 alice30.txt > /dev/null) $(TD 0.08) ) )

wccpp2 by Allan Odgaard

$(CCODE #include <algorithm> #include <cstdio> #include <fstream> #include <iterator> #include <map> #include <vector> bool isWordStartChar (char c) { return isalpha(c); } bool isWordEndChar (char c) { return !isalnum(c); } int main (int argc, char const* argv[]) { using namespace std; printf("Lines Words Bytes File:\n"); map<string, int> dict; int tLines = 0, tWords = 0, tBytes = 0; for(int i = 1; i < argc; i++) { ifstream file(argv[i]); istreambuf_iterator<char> from(file.rdbuf()), to; vector<char> v(from, to); vector<char>::iterator first = v.begin(), last = v.end(), bow, eow; int numLines = count(first, last, '\n'); int numWords = 0; int numBytes = last - first; for(eow = first; eow != last; ) { bow = find_if(eow, last, isWordStartChar); eow = find_if(bow, last, isWordEndChar); if(bow != eow) ++dict[string(bow, eow)], ++numWords; } printf("%5d %5d %5d %s\n", numLines, numWords, numBytes, argv[i]); tLines += numLines; tWords += numWords; tBytes += numBytes; } if(argc > 2) printf("-----------------------\n%5d %5d %5d\n", tLines, tWords, tBytes); printf("-----------------------\n\n"); for(map<string, int>::const_iterator it = dict.begin(); it != dict.end(); ++it) printf("%5d %s\n", it->second, it->first.c_str()); return 0; } ) ) Macros: TITLE=D Strings vs C++ Strings WIKI=CPPstrings