Want to import data from TXT (“|” pipe delimited text) file to Redshift?
Try Withdata FileToDB, a desktop TXT to Redshift converter for Windows, MacOS, and Linux, Convert TXT to Redshift, 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 Redshift
Login to Redshift -> Choose TXT file -> Set Redshift table -> Import TXT to Redshift
Choose Redshift 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 Redshift table and config fields.
3. Preview data will be in Redshift table.
4. Import TXT data to Redshift.
View imported data in Redshift table
Import TXT to Redshift in command line
Save “TXT to Redshift” session, then you can:
- Import TXT to Redshift in Windows command line.
- Import TXT to Redshift in Linux command line.
- Import TXT to Redshift in macOS command line.
Set scheduled tasks for importing TXT to Redshift
You can schedule and automate this “TXT to Redshift” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to Redshift” conversion.
- Set scheduled task for “TXT to Redshift” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import TXT (“|” pipe delimited text) data to Redshift?
Is it safe to import TXT (“|” pipe delimited text) data to Redshift using FileToDB?
Can I import TXT (“|” pipe delimited text) data to Redshift on Linux, Mac OS?
Can I import TXT (“|” pipe delimited text) data to Redshift in command line?
More about Withdata FileToDB – TXT (“|” pipe delimited text) to Redshift 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 → Redshift reference
Type mapping
| Value kind | in Pipe-delimited text | in Redshift |
|---|---|---|
| Int | 1234 | integer |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | numeric(p,s) |
| Float | 1.234e+10 | double precision |
| Text | quoted only when it contains a pipe or a quote | varchar(n) |
| Long text | must be quoted; line breaks inside force multi-line records | varchar(max) |
| Date | 2026-09-18 | date |
| Datetime | 2026-09-18 14:30:00 | timestamp |
| Binary | not representable - base64 or hex string | (none) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | boolean |
| JSON | the whole JSON value quoted, with internal quotes doubled | super |
Dialect differences
Pipe-delimited text is a file format and Redshift 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 Redshift |
|---|---|---|
| port | — | 5439 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | "double quotes" |
| row limit | — | LIMIT n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | timestamp, date |
| long text | — | VARCHAR(MAX) |
| 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 | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Pipe-delimited text values of kind Binary have nowhere to go in Redshift.
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.