Fast, header-only, C++11 CSV parser.
You initialize the parser by passing it any input stream of characters. For example, you can read from a file
std::ifstream f("some_file.csv");
CsvParser parser(f);
or you can read from stdin
CsvParser parser(std::cin);
Moreover, you can configure the parser by chaining configuration methods like
CsvParser parser = CsvParser(std::cin)
.delimiter(';') // delimited by ; instead of ,
.quote('\'') // quoted fields use ' instead of "
.terminator('\0'); // terminated by \0 instead of by \r\n, \n, or \r
You can read from the CSV using a range based for loop. Each row of the CSV
is represented as a std::vector<std::string>
.
#include <iostream>
#include "../parser.hpp"
using namespace aria::csv;
int main() {
std::ifstream f("some_file.csv");
CsvParser parser(f);
for (auto& row : parser) {
for (auto& field : row) {
std::cout << field << " | ";
}
std::cout << std::endl;
}
}
Behind the scenes, when using the range based for, the parser only ever allocates as much memory as needed to represent a single row of your CSV. If that's too much, you can step down to a lower level, where you read from the CSV a field at a time, which only allocates the amount of memory needed for a single field.
#include <iostream>
#include "./parser.hpp"
using namespace aria::csv;
int main() {
CsvParser parser(std::cin);
for (;;) {
auto field = parser.next_field();
if (field.type == FieldType::DATA) {
std::cout << *field.data << " | ";
} else if (field.type == FieldType::ROW_END) {
std::cout << std::endl;
} else {
std::cout << std::endl;
break;
}
}
}