Want to transfer data from multiple similar Redshift tables to 1 DBF table?
Try Withdata DBCopier, a Redshift to DBF converter for Windows, Mac, and Linux, Copy Redshift data to DBF, 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.
- Support Windows, Linux, and macOS.
Transfer data from multiple similar Redshift tables to a single DBF table
Login to Redshift and DBF -> Select source Redshift tables -> Set the target DBF table -> Copy Redshift data to DBF
Choose source Redshift database and logon.
Choose target DBF database and logon.
Click “Convert Similar Tables” at task dialog.
then show the wizard.
1. Select similar Redshift tables.
2. Select a destination DBF table and config fields.
3. Preview data.
4. Import data from multiple similar Redshift tables to a single DBF table.
More about Redshift to DBF converter
Download Withdata DBCopier
See also:
- Copy Redshift table data to DBF
- Copy Redshift query results to DBF table
- Batch copy Redshift tables to DBF
Redshift → DBF reference
Type mapping
| Value kind | in Redshift | in DBF |
|---|---|---|
| Int | integer | Numeric(10,0) |
| Bigint | bigint | Numeric(19,0) |
| Decimal | numeric(p,s) | Numeric(p,s) |
| Float | double precision | Float |
| Text | varchar(n) | Character(n) |
| Long text | varchar(max) | Memo |
| Date | date | Date |
| Datetime | timestamp | (none) |
| Boolean | boolean | Logical |
| JSON | super | (none) |
Dialect differences
Both Redshift and DBF are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Redshift | in DBF |
|---|---|---|
| port | 5439 | (file-based) |
| identifiers | "double quotes" | — |
| row limit | LIMIT n | (driver dependent) |
| dates | timestamp, date | Date (D) |
| long text | VARCHAR(MAX) | Memo (M) |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Redshift values of kind Date and time have nowhere to go in DBF.
- Redshift values of kind JSON have nowhere to go in DBF.
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