Want to import data from TXT file to MySQL?
Try Withdata FileToDB, a desktop TXT to MySQL converter for Windows, MacOS, and Linux, Convert TXT 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 TXT file(s) to online services.
- Support Windows, Linux, and macOS.
Import data from TXT file to MySQL
Login to MySQL -> Choose TXT file -> Set MySQL table -> Import TXT to MySQL
Choose MySQL and logon.

Click “Wizard – 1 File To 1 Table” at task dialog.

Select the “TXT” file type.

then show the wizard.
1. Open a TXT file.
Support large ( > 4GB ) TXT 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 TXT data to MySQL.

View imported data in MySQL table

Import TXT to MySQL in command line
Save “TXT to MySQL” session, then you can:
- Import TXT to MySQL in Windows command line.
- Import TXT to MySQL in Linux command line.
- Import TXT to MySQL in macOS command line.
Set scheduled tasks for importing TXT to MySQL
You can schedule and automate this “TXT to MySQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to MySQL” conversion.
- Set scheduled task for “TXT to MySQL” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import TXT data to MySQL?
Is it safe to import TXT data to MySQL using FileToDB?
Can I import TXT data to MySQL on Linux, Mac OS?
Can I import TXT data to MySQL in command line?
More about Withdata FileToDB – TXT to MySQL converter
See also:
TXT → MySQL reference
Type mapping
| Value kind | in TXT | in MySQL |
|---|---|---|
| Int | 1234, or right-aligned in a fixed-width column | INT |
| Bigint | 9007199254740993 | BIGINT |
| Decimal | 1234.56 | DECIMAL(p,s) |
| Float | 1.234e+10 | DOUBLE |
| Text | written as-is; padding depends on the chosen layout | VARCHAR(n) |
| Long text | written as-is | LONGTEXT |
| Date | whatever the writer chose | DATE |
| Datetime | whatever the writer chose | DATETIME |
| Binary | not representable | LONGBLOB |
| Boolean | Y / N, or 1 / 0, or TRUE / FALSE | TINYINT(1) |
| JSON | written as-is | JSON |
Dialect differences
TXT 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 TXT | in MySQL |
|---|---|---|
| port | — | 3306 |
| identifiers | None by convention | `backtick` |
| row limit | — | LIMIT n |
| dates | Whatever the writer produced; no convention is guaranteed | DATETIME, TIMESTAMP, DATE, TIME |
| long text | — | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | Not supported | BLOB / TINYBLOB / LONGBLOB |
| separator | Whatever was chosen - often fixed column widths | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Free form; a parser has to be told the layout | Tables of rows and columns |
| ceiling | No formal limit | — |
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.
