Want to schedule and automate from Clipper to PostgreSQL copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled Clipper to PostgreSQL copy data task easily, just a few mouse clicks!
Let computer automate repetitive Clipper to PostgreSQL transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate Clipper to PostgreSQL data task
1. Select and run a task from follow list:
- Merge multiple similar Clipper tables to 1 PostgreSQL table
- Batch copy Clipper tables to PostgreSQL
- Copy Clipper query results to PostgreSQL table
- Copy Clipper table data to PostgreSQL
- Migrate Clipper to PostgreSQL
- Sync data from Clipper to PostgreSQL
- Convert Clipper To PostgreSQL
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy Clipper data to PostgreSQL
Clipper → PostgreSQL reference
Type mapping
| Value kind | in Clipper | 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 Clipper and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Clipper | 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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