Want to sync data from DBF to PostgreSQL ?
Try Withdata DBCopier, a DBF to PostgreSQL converter for Windows, Mac, and Linux, Synchronize DBF 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.
Synchronize data from DBF to PostgreSQL
Login to DBF and target PostgreSQL -> Select source DBF tables -> Set target PostgreSQL tables -> Sync DBF data 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. Select source DBF tables to sync.
2. List target PostgreSQL tables.
Set “Import Type” to “Replace”, it will do a full synchronization.
Or set “Import Type” to “Upsert”, it will do a upsert synchronization.
3. Select PostgreSQL tables to sync.
4. Sync DBF data to PostgreSQL.
More about DBF to PostgreSQL converter
Download Withdata DBCopier
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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