Want to migrate from Visual FoxPro to PostgreSQL ?
Try Withdata DBCopier, a Visual FoxPro to PostgreSQL converter for Windows, Mac, and Linux, Migrate Visual FoxPro to PostgreSQL, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create PostgreSQL tables with auto mapping data types. Create PostgreSQL indexes.
Migrate from Visual FoxPro to PostgreSQL
Login to Visual FoxPro -> Login to PostgreSQL -> Select tables to migrate -> Migrate from Visual FoxPro to PostgreSQL
Choose source Visual FoxPro database and logon.
Choose target PostgreSQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Visual FoxPro.
2. Set “Import Type”.
3. Select PostgreSQL tables to migrate.
4. Migrate from Visual FoxPro to PostgreSQL.
Create PostgreSQL tables. Copy Visual FoxPro data to PostgreSQL. Create PostgreSQL indexes.
FAQ
More about Visual FoxPro to PostgreSQL converter
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See also:
Visual FoxPro → PostgreSQL reference
Type mapping
| Value kind | in Visual FoxPro | in PostgreSQL |
|---|---|---|
| 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 | text |
| Date | Date | date |
| Datetime | DateTime | timestamp |
| Binary | General | bytea |
| Boolean | Logical | boolean |
| JSON | (none) | jsonb |
Dialect differences
Both Visual FoxPro and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in PostgreSQL |
|---|---|---|
| port | (file-based) | 5432 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D), DateTime (T) | timestamp, timestamptz, date, time |
| long text | Memo (M) | TEXT |
| binary | General (G) | BYTEA |
Command line
| Side | Command |
|---|---|
| PostgreSQL | pg_dump or COPY ... TO |
| PostgreSQL (load) | COPY ... FROM |
No counterpart
- PostgreSQL has no equivalent for JSON – it has to be flattened or dropped.
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