Withdata Software

MySQL import multiple TXT (pipe delimited text) files into a single table in one go

Want to import multiple TXT (“|” pipe delimited text) files into a single MySQL table?

Using Withdata software File To DB, a TXT to MySQL converter for Windows, MacOS, and Linux, you can import multiple TXT (“|” pipe delimited text) files into a single MySQL (MariaDB, Percona) table in one go.

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Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Import multiple TXT (“|” pipe delimited text) files into a single MySQL (MariaDB, Percona) table

Login to MySQL -> Choose TXT files -> Set MySQL table -> Import TXT files to MySQL table

Choose MySQL and logon.

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

Select the “TXT” file type.

then show the wizard.

1. Select a folder that constains TXT (“|” pipe delimited text) files.

Support large ( > 4GB ) TXT (“|” pipe delimited text) files.

2. Config first TXT (“|” pipe delimited text) file importing options.

3. Select a MySQL table and config fields.

4. Preview data will be in MySQL table.

5. Import multiple TXT (“|” pipe delimited text) files to the MySQL table.

View imported data in MySQL table

Import multiple TXT (“|” pipe delimited text) files to MySQL in command line

Save “multiple TXT (“|” pipe delimited text) files to MySQL” session, then you can:

Set scheduled tasks for importing multiple TXT (“|” pipe delimited text) files to MySQL

You can schedule and automate this converting task by:

1) Save session and create .bat (Windows) or .sh (Linux/macOS)

2) Set scheduled task.

FAQ

How long does it take to import PIPE data to MySQL?
FileToDB works fast. It convert millions of rows within a minute.
Is it safe to import PIPE data to MySQL using FileToDB?
Of course! FileToDB import PIPE data to MySQL locally, absolutely safe.
Can I import PIPE data to MySQL on Linux, Mac OS?
Yes, you can. FileToDB has Linux, Mac OS, and Windows version.
Can I import PIPE 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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