Want to migrate from dBase to PostgreSQL ?
Try Withdata DBCopier, a dBase to PostgreSQL converter for Windows, Mac, and Linux, Migrate dBase 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 dBase to PostgreSQL
Login to dBase -> Login to PostgreSQL -> Select tables to migrate -> Migrate from dBase to PostgreSQL
Choose source dBase database and logon.
Choose target PostgreSQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source dBase.
2. Set “Import Type”.
3. Select PostgreSQL tables to migrate.
4. Migrate from dBase to PostgreSQL.
Create PostgreSQL tables. Copy dBase data to PostgreSQL. Create PostgreSQL indexes.
FAQ
More about dBase to PostgreSQL converter
Download Withdata DBCopier
See also:
dBase → PostgreSQL reference
Type mapping
| Value kind | in dBase | 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 dBase and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | 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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