CSV to SQL Converter

Un outil en ligne gratuit pour les développeurs permettant de générer instantanément des requêtes SQL INSERT ou UPDATE à partir de fichiers CSV. Gagnez du temps et réduisez les erreurs lors de la migration de données.

Le processus de conversion est effectué entièrement dans votre navigateur. Même si le fichier CSV contient des informations sensibles, il ne sera jamais envoyé à un serveur externe.

CSV (Valeurs séparées par des virgules)

Format de fichier texte simple utilisant des virgules pour séparer les valeurs.

SQL (Structured Query Language)

Langage de programmation standard pour manipuler les bases de données relationnelles.

Requête INSERT

Commande SQL pour ajouter de nouvelles lignes dans une table.

Requête UPDATE

Commande SQL utilisée pour modifier des enregistrements existants.

Échappement

Processus garantissant que les caractères spéciaux en SQL sont traités comme de simples chaînes.

Q.Is the CSV data I enter saved on external servers?

No, all input data is processed strictly within your PC or smartphone's browser. There is no transmission or storage of data to external servers, making it completely safe to use even with CSV files containing customer lists or sensitive information.

Q.Can it convert huge CSV files with tens of thousands of rows?

Yes, it can, but it depends on your browser's memory and processing power. Processing a few thousand to tens of thousands of rows usually completes in seconds. However, for extremely large files exceeding 100,000 rows, we recommend splitting the file before conversion to prevent browser freezing.

Q.How are numeric and string data distinguished?

The tool automatically analyzes the value of each cell internally. If it consists only of numbers (or numbers with a decimal point), it is treated as a number and quotes are removed. This automatic inference can also be disabled in the options, allowing you to force all values to be quoted as strings if required.

Q.How are NULL values or empty cells handled?

Empty cells or the string 'NULL' are output to SQL as `NULL` without quotes so that they are treated as official NULLs in the database. If you intentionally want them registered as empty strings (`''`), please adjust the CSV data beforehand or manually tweak the generated SQL.

Q.Can I use the output with both MySQL and PostgreSQL?

Yes, the basic INSERT and UPDATE statements are generated using standard SQL syntax, so you can use them directly in major relational databases like MySQL, PostgreSQL, SQLite, and SQL Server. If specific functions or dialects are required, please replace them in the output SQL using a text editor.