SQL Server 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 SQL Server table?

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

• 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 files to online services.

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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 SQL Server table

Login to SQL Server -> Choose TXT files -> Set SQL Server table -> Import TXT files to SQL Server table

Choose SQL Server 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 SQL Server table and config fields.

4. Preview data will be in SQL Server table.

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

View imported data in SQL Server table

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

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

• Import multiple TXT (“|” pipe delimited text) files to SQL Server in Windows command line.
• Import multiple TXT (“|” pipe delimited text) files to SQL Server in Linux command line.
• Import multiple TXT (“|” pipe delimited text) files to SQL Server in macOS command line.

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

You can schedule and automate this converting task by:

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

2) Set scheduled task.

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