Want to schedule and automate from dBase to PostgreSQL copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled dBase to PostgreSQL copy data task easily, just a few mouse clicks!
Let computer automate repetitive dBase to PostgreSQL transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate dBase to PostgreSQL data task
1. Select and run a task from follow list:
- Merge multiple similar dBase tables to 1 PostgreSQL table
- Batch copy dBase tables to PostgreSQL
- Copy dBase query results to PostgreSQL table
- Copy dBase table data to PostgreSQL
- Migrate dBase to PostgreSQL
- Sync data from dBase to PostgreSQL
- Convert dBase To PostgreSQL
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy dBase data to PostgreSQL
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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