Want to bulk import CSV files into MySQL tables at one time?
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 files to online services.
- Support Windows, Linux, and macOS.
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Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Bulk import CSV files into MySQL tables
Login to MySQL -> Choose CSV files -> Set MySQL tables -> Import CSV files to MySQL tables
Choose MySQL and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Select a folder that constains CSV files.
Support large ( > 4GB ) CSV files.
2. Config first CSV file importing options.
3. Set “Import Type”.
4. Map MySQL tables to CSV files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import CSV files to MySQL tables, 1 file to 1 table, one by one.
View imported data in MySQL table
Bulk import CSV files into MySQL tables in command line
Save “bulk CSV files to MySQL tables” session, then you can:
- Bulk import CSV files into MySQL tables in Windows command line.
- Bulk import CSV files into MySQL tables in Linux command line.
- Bulk import CSV files into MySQL tables in macOS command line.
Set scheduled tasks for bulk importing CSV files into MySQL tables
You can schedule and automate this converting 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
More about Withdata FileToDB – CSV to MySQL converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
See Video: MySQL bulk import CSV files into tables in one go
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.