Want to convert data from FoxPro to PostgreSQL ?
Try Withdata DBCopier, a FoxPro to PostgreSQL converter for Windows, Mac, and Linux, Convert FoxPro to PostgreSQL, 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.
Convert data from FoxPro to PostgreSQL
Login to FoxPro and PostgreSQL -> Select source FoxPro tables -> Set target PostgreSQL tables -> Convert 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. List target PostgreSQL tables.
3. Select PostgreSQL tables to import.
4. Convert data from FoxPro to PostgreSQL.
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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