Want to bulk import TXT files into Redshift tables at one time?
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.
Bulk import TXT files into Redshift tables
Login to Redshift -> Choose TXT files -> Set Redshift tables -> Import TXT files to Redshift tables
Choose Redshift and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “TXT” file type.
then show the wizard.
1. Select a folder that constains TXT files.
Support large ( > 4GB ) TXT files.
2. Config first TXT file importing options.
3. Set “Import Type”.
4. Map Redshift tables to TXT files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import TXT files to Redshift tables, 1 file to 1 table, one by one.
View imported data in Redshift table
Bulk import TXT files into Redshift tables in command line
Save “bulk TXT files to Redshift tables” session, then you can:
- Bulk import TXT files into Redshift tables in Windows command line.
- Bulk import TXT files into Redshift tables in Linux command line.
- Bulk import TXT files into Redshift tables in macOS command line.
Set scheduled tasks for bulk importing TXT files into Redshift tables
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 to Redshift converter
Download Withdata FileToDB
See also:
TXT → Redshift reference
Type mapping
| Value kind | in TXT | in Redshift |
|---|---|---|
| Int | 1234, or right-aligned in a fixed-width column | integer |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | numeric(p,s) |
| Float | 1.234e+10 | double precision |
| Text | written as-is; padding depends on the chosen layout | varchar(n) |
| Long text | written as-is | varchar(max) |
| Date | whatever the writer chose | date |
| Datetime | whatever the writer chose | timestamp |
| Binary | not representable | (none) |
| Boolean | Y / N, or 1 / 0, or TRUE / FALSE | boolean |
| JSON | written as-is | super |
Dialect differences
TXT 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 TXT | in Redshift |
|---|---|---|
| port | — | 5439 |
| identifiers | None by convention | "double quotes" |
| row limit | — | LIMIT n |
| dates | Whatever the writer produced; no convention is guaranteed | timestamp, date |
| long text | — | VARCHAR(MAX) |
| binary | Not supported | — |
| separator | Whatever was chosen - often fixed column widths | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Free form; a parser has to be told the layout | Tables of rows and columns |
| ceiling | No formal limit | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- TXT 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.
