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@liuzicheng1987 liuzicheng1987 merged commit 8350955 into main Sep 7, 2025
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@liuzicheng1987 liuzicheng1987 deleted the liuzicheng1987-patch-1 branch September 7, 2025 13:21
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Summary of Changes

Hello @liuzicheng1987, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the project's documentation by integrating information about CSV (Comma Separated Values) support. It clarifies the library's capabilities for handling tabular data, making it easier for users to understand and utilize CSV serialization.

Highlights

  • Documentation of CSV Support: The README.md has been updated to reflect the reflect-cpp library's support for CSV serialization.
  • Updated Tabular Data Section: The "Tabular data" section now explicitly mentions CSV as a supported format alongside Parquet.
  • CSV Example Added: A new code example demonstrating how to write data to CSV using rfl::csv::write and the expected output format has been included.
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Code Review

This pull request adds documentation for CSV serialization to the main README.md file. The additions are helpful for discoverability. However, the new code example for CSV has several inconsistencies related to the data structure being used, the code itself, and the sample output provided. I have left specific comments to address these issues, including a typo, to ensure the documentation is clear and accurate for users.

.age = 45,
.email = "homer@simpson.com"}});

const auto csv_string = rfl::csv::write(people);

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high

This CSV serialization example has some inconsistencies with the surrounding documentation that could be confusing for users:

  1. The code block above is missing the required #include <rfl/csv.hpp>.
  2. The Person struct being serialized here is implicitly the one from the "More Comprehensive Example". That struct is not compatible with the CSV output shown below because it uses rfl::Rename to produce camelCase names (e.g., firstName) and contains a std::vector<Person> children field, which is not supported in tabular formats.

To improve clarity, it would be best to define a new, flat Person struct for this tabular data section that is compatible with CSV and matches the generated output.

const auto bytestring = rfl::parquet::write(people);
```
This will resulting CSV will look like this:

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medium

There is a small typo in this sentence.

Suggested change
This will resulting CSV will look like this:
The resulting CSV will look like this:

Comment on lines +279 to +284
"first_name";"last_name";"town";"birthday";"age";"email"
"Bart";"Simpson";"Springfield";1987-04-19;10;"bart@simpson.com"
"Lisa";"Simpson";"Springfield";1987-04-19;8;"lisa@simpson.com"
"Maggie";"Simpson";"Springfield";1987-04-19;0;"maggie@simpson.com"
"Homer";"Simpson";"Springfield";1987-04-19;45;"homer@simpson.com"
```

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medium

The CSV output shown here uses semicolons (;) as delimiters. However, the code rfl::csv::write(people) uses default settings, which will produce standard comma-separated values. This mismatch could be confusing. To make the example consistent, please change the delimiter in the output to a comma.

Suggested change
"first_name";"last_name";"town";"birthday";"age";"email"
"Bart";"Simpson";"Springfield";1987-04-19;10;"bart@simpson.com"
"Lisa";"Simpson";"Springfield";1987-04-19;8;"lisa@simpson.com"
"Maggie";"Simpson";"Springfield";1987-04-19;0;"maggie@simpson.com"
"Homer";"Simpson";"Springfield";1987-04-19;45;"homer@simpson.com"
```
"first_name","last_name","town","birthday","age","email"
"Bart","Simpson","Springfield",1987-04-19,10,"bart@simpson.com"
"Lisa","Simpson","Springfield",1987-04-19,8,"lisa@simpson.com"
"Maggie","Simpson","Springfield",1987-04-19,0,"maggie@simpson.com"
"Homer","Simpson","Springfield",1987-04-19,45,"homer@simpson.com"

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