CSV to SQL Converter

Alat online gratis bagi pengembang untuk secara instan membuat pernyataan SQL INSERT atau UPDATE dari file CSV. Menghemat waktu dan mengurangi kesalahan manusia saat memigrasi data dari spreadsheet ke database.

Proses konversi sepenuhnya dilakukan di browser Anda. Meskipun file CSV berisi data sensitif, tidak akan pernah dikirim ke server eksternal, memastikan keamanan penuh.

CSV (Comma-Separated Values)

Format file teks sederhana yang menggunakan koma untuk memisahkan nilai.

SQL (Structured Query Language)

Bahasa standar untuk mendefinisikan dan memanipulasi data dalam database relasional.

Pernyataan INSERT

Perintah SQL untuk menambahkan baris baru ke tabel.

Pernyataan UPDATE

Perintah SQL yang digunakan untuk mengubah data yang sudah ada, biasanya dikombinasikan dengan klausa WHERE.

Escaping (Karakter Escape)

Proses untuk memastikan karakter khusus seperti tanda kutip diperlakukan sebagai teks biasa.

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.