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.


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