Want to import data from TXT (“|” pipe delimited text) file to Percona?
Try Withdata FileToDB, a desktop TXT to Percona converter for Windows, MacOS, and Linux, Convert TXT to Percona, 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 Percona
Login to Percona -> Choose TXT file -> Set Percona table -> Import TXT to Percona
Choose Percona 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 Percona table and config fields.
3. Preview data will be in Percona table.
4. Import TXT data to Percona.
View imported data in Percona table
Import TXT to Percona in command line
Save “TXT to Percona” session, then you can:
- Import TXT to Percona in Windows command line.
- Import TXT to Percona in Linux command line.
- Import TXT to Percona in macOS command line.
Set scheduled tasks for importing TXT to Percona
You can schedule and automate this “TXT to Percona” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to Percona” conversion.
- Set scheduled task for “TXT to Percona” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import TXT (“|” pipe delimited text) data to Percona?
Is it safe to import TXT (“|” pipe delimited text) data to Percona using FileToDB?
Can I import TXT (“|” pipe delimited text) data to Percona on Linux, Mac OS?
Can I import TXT (“|” pipe delimited text) data to Percona in command line?
More about Withdata FileToDB – TXT (“|” pipe delimited text) to Percona 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 → Percona reference
Type mapping
| Value kind | in Pipe-delimited text | in Percona |
|---|---|---|
| Int | 1234 | INT |
| Bigint | 9007199254740993 | BIGINT |
| Decimal | 1234.56 | DECIMAL(p,s) |
| Float | 1.234e+10 | DOUBLE |
| 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 | LONGTEXT |
| Date | 2026-09-18 | DATE |
| Datetime | 2026-09-18 14:30:00 | DATETIME |
| Binary | not representable - base64 or hex string | LONGBLOB |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | TINYINT(1) |
| JSON | the whole JSON value quoted, with internal quotes doubled | JSON |
Dialect differences
Pipe-delimited text is a file format and Percona 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 Percona |
|---|---|---|
| port | — | 3306 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | `backtick` |
| row limit | — | LIMIT n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | DATETIME, TIMESTAMP, DATE, TIME |
| long text | — | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | Not supported | BLOB / TINYBLOB / LONGBLOB |
| 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 |
|---|---|
| Percona | mysqldump |
| Percona (load) | mysqlimport, or LOAD DATA INFILE |
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.