Withdata Software

Import TXT (pipe delimited text) into MySQL

Want to import data from TXT (“|” pipe delimited text) file to MySQL?

Try Withdata FileToDB, a desktop TXT to MySQL converter for Windows, MacOS, and Linux, Convert TXT to MySQL, Easy and Fast.

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

Import data from TXT (“|” pipe delimited text) 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 (“|” pipe delimited text) 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:

Set scheduled tasks for importing TXT to MySQL

You can schedule and automate this “TXT to MySQL” conversion task by:

  1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to MySQL” conversion.
  2. Set scheduled task for “TXT to MySQL” conversion.

FAQ

What is Withdata FileToDB?

Withdata FileToDB is an ETL software can import TXT (“|” pipe delimited text) data to MySQL. Download Withdata FileToDB

How long does it take to import TXT (“|” pipe delimited text) data to MySQL?

FileToDB works fast. It convert millions of rows within a minute.

Is it safe to import TXT (“|” pipe delimited text) data to MySQL using FileToDB?

Of course! FileToDB import TXT (“|” pipe delimited text) data to MySQL locally, absolutely safe.

Can I import TXT (“|” pipe delimited text) data to MySQL on Linux, Mac OS?

Yes, you can. FileToDB has Linux, Mac OS, and Windows version.

Can I import TXT (“|” pipe delimited text) data to MySQL in command line?

Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


More about Withdata FileToDB – TXT (“|” pipe delimited text) to MySQL converter

See also:

Pipe-delimited text → MySQL reference

Type mapping

Value kindin Pipe-delimited textin MySQL
Int1234INT
Bigint9007199254740993BIGINT
Decimal1234.56DECIMAL(p,s)
Float1.234e+10DOUBLE
Textquoted only when it contains a pipe or a quoteVARCHAR(n)
Long textmust be quoted; line breaks inside force multi-line recordsLONGTEXT
Date2026-09-18DATE
Datetime2026-09-18 14:30:00DATETIME
Binarynot representable - base64 or hex stringLONGBLOB
BooleanTRUE / FALSE, or 1 / 0 depending on the writerTINYINT(1)
JSONthe whole JSON value quoted, with internal quotes doubledJSON

Dialect differences

Pipe-delimited text 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.

Propertyin Pipe-delimited textin MySQL
port—3306
identifiersDouble quotes; a literal quote is doubled ("" )`backtick`
row limit—LIMIT n
datesConventional text: 2026-09-18 or 2026-09-18 14:30:00DATETIME, TIMESTAMP, DATE, TIME
long text—TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT
binaryNot supportedBLOB / TINYBLOB / LONGBLOB
separatorPipe "|"—
encodingNo declaration - UTF-8 works only with a BOM—
typingNone - every field is text—
shapeFlat table, optional header rowTables of rows and columns
ceilingNo formal limit; row count bounded by memory—

Command line

SideCommand
MySQLmysqldump, or mysql -e "SELECT ..." > out.csv
MySQL (load)mysqlimport, or LOAD DATA INFILE

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