Want to import data from CSV file to MySQL?
Try Withdata FileToDB, a desktop CSV to MySQL converter for Windows, MacOS, and Linux, Convert CSV to MySQL, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert locally and privately, avoid uploading large or private CSV file(s) to online services.
- Support Windows, Linux, and macOS.
Import data from CSV file to MySQL
Login to MySQL -> Choose CSV file -> Set MySQL table -> Import CSV to MySQL
Choose MySQL and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Open a CSV file.
Support large ( > 4GB ) CSV file.
Here is the file’s content.
2. Select a MySQL table and config fields.
3. Preview data will be in MySQL table.
4. Import CSV data to MySQL.
View imported data in MySQL table
Import CSV to MySQL in command line
Save “CSV to MySQL” session, then you can:
- Import CSV to MySQL in Windows command line.
- Import CSV to MySQL in Linux command line.
- Import CSV to MySQL in macOS command line.
Set scheduled tasks for importing CSV to MySQL
You can schedule and automate this “CSV to MySQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to MySQL” conversion.
- Set scheduled task for “CSV to MySQL” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import CSV data to MySQL?
Is it safe to import CSV data to MySQL using FileToDB?
Can I import CSV data to MySQL on Linux, Mac OS?
Can I import CSV data to MySQL in command line?
More about Withdata FileToDB – CSV to MySQL converter
Download Withdata FileToDB
See Video: Import data from CSV file into MySQL table in a few clicks
See also:
CSV → MySQL reference
Type mapping
| Value kind | in CSV | in MySQL |
|---|---|---|
| Int | 1234 | INT |
| Bigint | 9007199254740993 | BIGINT |
| Decimal | 1234.56 | DECIMAL(p,s) |
| Float | 1.234e+10 | DOUBLE |
| Text | quoted only when it contains a comma or a quote | VARCHAR(n) |
| Long text | must be quoted; line breaks inside force multi-line records | LONGTEXT |
| Date | 2026-09-18 | DATE |
| Datetime | 2026-09-18 14:30:00 | DATETIME |
| Binary | not representable - base64 or hex string | LONGBLOB |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | TINYINT(1) |
| JSON | the whole JSON value quoted, with internal quotes doubled | JSON |
Dialect differences
CSV is a file format and MySQL is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in CSV | in MySQL |
|---|---|---|
| port | — | 3306 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | `backtick` |
| row limit | — | LIMIT n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | DATETIME, TIMESTAMP, DATE, TIME |
| long text | — | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | Not supported | BLOB / TINYBLOB / LONGBLOB |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
Command line
| Side | Command |
|---|---|
| MySQL | mysqldump, or mysql -e "SELECT ..." > out.csv |
| MySQL (load) | mysqlimport, or LOAD DATA INFILE |
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
