Want to import data from TXT (“|” pipe delimited text) file to HiperSix?
Try Withdata FileToDB, a desktop TXT to HiperSix converter for Windows, MacOS, and Linux, Convert TXT to HiperSix, 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.
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 HiperSix
Login to HiperSix -> Choose TXT file -> Set HiperSix table -> Import TXT to HiperSix
Choose HiperSix 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 HiperSix table and config fields.
3. Preview data will be in HiperSix table.
4. Import TXT data to HiperSix.
View imported data in HiperSix table
Import TXT to HiperSix in command line
Save “TXT to HiperSix” session, then you can:
- Import TXT to HiperSix in Windows command line.
- Import TXT to HiperSix in Linux command line.
- Import TXT to HiperSix in macOS command line.
Set scheduled tasks for importing TXT to HiperSix
You can schedule and automate this “TXT to HiperSix” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to HiperSix” conversion.
- Set scheduled task for “TXT to HiperSix” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import TXT (“|” pipe delimited text) data to HiperSix?
Is it safe to import TXT (“|” pipe delimited text) data to HiperSix using FileToDB?
Can I import TXT (“|” pipe delimited text) data to HiperSix on Linux, Mac OS?
Can I import TXT (“|” pipe delimited text) data to HiperSix in command line?
More about Withdata FileToDB – TXT (“|” pipe delimited text) to HiperSix converter
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
See also:
Pipe-delimited text → HiperSix reference
Type mapping
| Value kind | in Pipe-delimited text | in HiperSix |
|---|---|---|
| Int | 1234 | Numeric(10,0) |
| Bigint | 9007199254740993 | Numeric(19,0) |
| Decimal | 1234.56 | Numeric(p,s) |
| Float | 1.234e+10 | Float |
| Text | quoted only when it contains a pipe or a quote | Character(n) |
| Long text | must be quoted; line breaks inside force multi-line records | Memo |
| Date | 2026-09-18 | Date |
| Datetime | 2026-09-18 14:30:00 | (none) |
| Binary | not representable - base64 or hex string | (none) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | Logical |
| JSON | the whole JSON value quoted, with internal quotes doubled | (none) |
Dialect differences
Pipe-delimited text is a file format and HiperSix 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 Pipe-delimited text | in HiperSix |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; a literal quote is doubled ("" ) | — |
| row limit | — | (driver dependent) |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | Date (D) |
| long text | — | Memo (M) |
| binary | Not supported | — |
| separator | Pipe "|" | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
No counterpart
- Pipe-delimited text values of kind Date and time have nowhere to go in HiperSix.
- Pipe-delimited text values of kind Binary have nowhere to go in HiperSix.
- Pipe-delimited text values of kind JSON have nowhere to go in HiperSix.
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.