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Formattatori e Codice

Aiutante per la Migrazione da NoSQL a SQL

MongoDB document shape → relational schema sketch.

Runs in your browser
MongoDB-style document · source
lines: 21chars: 312size: 312 B
Suggested SQL schema · result
lines: 16chars: 295size: 295 B
live

Nota dell'editore

Understanding · Documents into rows — the migration nobody wants twice.

Questo capitolo approfondito è attualmente disponibile solo in inglese. Lo strumento di conversione qui sopra funziona nella tua lingua; il lungo articolo esplicativo non è stato ancora tradotto.

Domande frequenti

Quick answers.

How does it determine SQL data types?

The tool inspects the values in your JSON document. Strings are mapped to `VARCHAR`, integers to `INT` or `BIGINT`, and floating point numbers to `DECIMAL` or `FLOAT`.

What happens to nested objects and arrays?

Nested objects are typically flattened or suggested as separate tables with foreign keys. For modern SQL dialects like PostgreSQL, you can also choose to treat them as `JSONB` columns.

Does it support complex BSON types?

Yes, common BSON types like `ObjectId`, `ISODate`, and `NumberDecimal` are recognised and converted to their relational equivalents like `UUID`, `TIMESTAMP`, and `NUMERIC`.

Is my data sent to a server for processing?

No. All mapping and schema generation happens locally within your browser session. Your document structure and data never leave your device.

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