Want to import multiple TXT (“|” pipe delimited text) files into a single Redshift table?
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 files to online services.
- Support Windows, Linux, and macOS.
Import multiple TXT (“|” pipe delimited text) files into a single Redshift table
Login to Redshift -> Choose TXT files -> Set Redshift table -> Import TXT files to Redshift table
Choose Redshift 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 Redshift table and config fields.
4. Preview data will be in Redshift table.
5. Import multiple TXT (“|” pipe delimited text) files to the Redshift table.
View imported data in Redshift table
Import multiple TXT (“|” pipe delimited text) files to Redshift in command line
Save “multiple TXT (“|” pipe delimited text) files to Redshift” session, then you can:
- Import multiple TXT (“|” pipe delimited text) files to Redshift in Windows command line.
- Import multiple TXT (“|” pipe delimited text) files to Redshift in Linux command line.
- Import multiple TXT (“|” pipe delimited text) files to Redshift in macOS command line.
Set scheduled tasks for importing multiple TXT (“|” pipe delimited text) files to Redshift
You can schedule and automate this converting 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
More about Withdata FileToDB – TXT (“|” pipe delimited text) to Redshift converter
Download Withdata FileToDB
See also:
Pipe-delimited text → Redshift reference
What is a pipe-delimited file?
A pipe-delimited file (also called pipe-separated values, PSV) is a plain-text file where each line is one record and a vertical bar | separates the fields. It works like CSV but uses | instead of ,, so a value that contains commas needs no quoting.
Name|Age|City
Alice|30|New York
Bob|41|San FranciscoTo open it in Excel: Data → From Text/CSV, then set the delimiter to | (or Text to Columns → Other = |).
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.
