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new documentation on type inferring with fq #13807

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@evanevanevanevannnn evanevanevanevannnn requested a review from a team as a code owner January 24, 2025 11:36
@github-actions github-actions bot added the documentation Improvements or additions to documentation label Jan 24, 2025
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@@ -61,7 +61,33 @@ WHERE
Year Int32 NOT NULL
```

Если поле данных помечено, как обязательное, `NOT NULL`, но это поле отсутствует в обрабатываемом файле, то работа с таким файлом будет завершена с ошибкой. Если поле помечено как необязательное, `NULL`, то при отсутствии поля в обрабатываемом файле не будет возникать ошибки, но поле при этом примет значение `NULL`.
Если поле данных помечено как обязательное, `NOT NULL`, но это поле отсутствует в обрабатываемом файле, то работа с таким файлом будет завершена с ошибкой. Если поле помечено как необязательное, `NULL`, то при отсутствии поля в обрабатываемом файле не будет возникать ошибки, но поле при этом примет значение `NULL`. Ключевое слово `NULL` в необязательных полях опционально.
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В duckdb например подробно описывают как типы выводятся, какие приоритеты, форматы у типов должны быть. Мы не хотим подробнее описать как он будет выводить типы? https://duckdb.org/docs/data/csv/auto_detection


* `object_storage_connection_name` — название внешнего источника данных, ведущего на бакет с S3 ({{ objstorage-full-name }}).
* `file_path` — путь к файлу или файлам внутри бакета. Поддерживаются wildcards `*`, подробнее [в разделе](#path_format).
* `file_format`[формат данных](formats.md#formats) в файлах.
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Может имеет смысл еще тут добавить информацию что raw и json_as_string не поддерживается. А почему мы raw кстати не поддержали, можешь напомнить?

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