Want to migrate from FoxPro to PostgreSQL ?
Try Withdata DBCopier, a FoxPro to PostgreSQL converter for Windows, Mac, and Linux, Migrate 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 FoxPro to PostgreSQL
Login to FoxPro -> Login to PostgreSQL -> Select tables to migrate -> Migrate from FoxPro to PostgreSQL
Choose source 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 FoxPro.
2. Set “Import Type”.
3. Select PostgreSQL tables to migrate.
4. Migrate from FoxPro to PostgreSQL.
Create PostgreSQL tables. Copy FoxPro data to PostgreSQL. Create PostgreSQL indexes.
FAQ
More about FoxPro to PostgreSQL converter
Download Withdata DBCopier
See also:
FoxPro → PostgreSQL reference
Type mapping
| Value kind | in 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 | (none) | timestamp |
| Binary | General | bytea |
| Boolean | Logical | boolean |
| JSON | (none) | jsonb |
Dialect differences
Both FoxPro and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxPro | in PostgreSQL |
|---|---|---|
| port | (file-based) | 5432 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | 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 Date and time – it has to be flattened or dropped.
- PostgreSQL has no equivalent for JSON – it has to be flattened or dropped.
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