Question 1

How to read a large CSV file with csv2 in C++?

Accepted Answer

Use the csv2::Reader class with the mmap method for file input, then iterate over rows and cells using range-based for loops. The README provides a clear example with configurable parameters like delimiters and trimming.

Question 2

csv2 vs fast-cpp-csv-parser: which is faster for big data?

Accepted Answer

csv2 excels with memory-mapped files for maximum speed on large, static datasets, as shown in benchmarks. fast-cpp-csv-parser might use different I/O methods; choose based on your file access patterns and performance needs.

Question 3

How to write a CSV file using csv2?

Accepted Answer

Use the csv2::Writer class with an std::ofstream, passing containers like vectors of strings. However, it's basic and best for simple cases—lack streaming or incremental write support for very large outputs.

Question 4

Does csv2 handle escaped quotes and newlines in CSV cells?

Accepted Answer

Yes, the Cell::read_value method handles escaped content, such as converting """foo""" to ""foo"", as mentioned in the API documentation for proper CSV parsing.

Question 5

What C++ version do I need for csv2?

Accepted Answer

csv2 requires C++11 or later due to its use of modern features like template parameters, range-based iteration, and auto type deduction, so ensure your compiler supports it.

Question 6

How to customize delimiter and quote character in csv2 parsing?

Accepted Answer

Configure through template parameters like delimiter<','> and quote_character<'"'> when declaring the Reader, allowing easy adaptation to TSV or other CSV variants without code changes.

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