Want to migrate from DBF to PostgreSQL ?
Try Withdata DBCopier, a DBF to PostgreSQL converter for Windows, Mac, and Linux, Migrate DBF 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 DBF to PostgreSQL
Login to DBF -> Login to PostgreSQL -> Select tables to migrate -> Migrate from DBF to PostgreSQL
Choose source DBF database and logon.
Choose target PostgreSQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source DBF.
2. Set “Import Type”.
3. Select PostgreSQL tables to migrate.
4. Migrate from DBF to PostgreSQL.
Create PostgreSQL tables. Copy DBF data to PostgreSQL. Create PostgreSQL indexes.
FAQ
More about DBF to PostgreSQL converter
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See also:
DBF → PostgreSQL reference
Type mapping
| Value kind | in DBF | 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 | (none) | bytea |
| Boolean | Logical | boolean |
| JSON | (none) | jsonb |
Dialect differences
Both DBF and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | 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 | — | 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 Binary – it has to be flattened or dropped.
- PostgreSQL has no equivalent for JSON – it has to be flattened or dropped.
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