Want to migrate from FoxPro to Redshift?
Try Withdata DBCopier, a FoxPro to Redshift converter for Windows, Mac, and Linux, Migrate FoxPro to Redshift, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create Redshift tables with auto mapping data types. Create Redshift indexes.
Migrate from FoxPro to Redshift
Login to FoxPro -> Login to Redshift -> Select tables to migrate -> Migrate from FoxPro to Redshift
Choose source FoxPro database and logon.
Choose target Redshift database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source FoxPro.
2. Set “Import Type”.
3. Select Redshift tables to migrate.
4. Migrate from FoxPro to Redshift.
Create Redshift tables. Copy FoxPro data to Redshift. Create Redshift indexes.
FAQ
More about FoxPro to Redshift converter
Download Withdata DBCopier
See also:
FoxPro → Redshift reference
Type mapping
| Value kind | in FoxPro | in Redshift |
|---|---|---|
| Int | Numeric(10,0) | integer |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | numeric(p,s) |
| Float | Float | double precision |
| Text | Character(n) | varchar(n) |
| Long text | Memo | varchar(max) |
| Date | Date | date |
| Datetime | (none) | timestamp |
| Binary | General | (none) |
| Boolean | Logical | boolean |
| JSON | (none) | super |
Dialect differences
Both FoxPro and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxPro | in Redshift |
|---|---|---|
| port | (file-based) | 5439 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | timestamp, date |
| long text | Memo (M) | VARCHAR(MAX) |
| binary | General (G) | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Redshift has no equivalent for Date and time – it has to be flattened or dropped.
- FoxPro values of kind Binary have nowhere to go in Redshift.
- Redshift has no equivalent for JSON – it has to be flattened or dropped.
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