Want to transfer data from Clipper query results to Access table?
Try Withdata DBCopier, a Clipper to Access converter for Windows, Mac, and Linux, Copy Clipper query to Access, 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.
Transfer data from Clipper query To Access table
Login to Clipper and Access -> Enter source Clipper query -> Set target Access table -> Copy Clipper query data to Access table
Choose source Clipper database and logon.
Choose target Access database and logon.
Click “Convert From Query” at task dialog.
then show the wizard.
1. Set a Clipper query.
2. Select a destination Access table and config fields.
3. Preview data.
4. Transfer data from Clipper query result to Access table.
More about Clipper to Access converter
Download Withdata DBCopier
See also:
- Copy Clipper table data to Access
- Merge multiple similar Clipper tables to 1 Access table
- Batch copy Clipper tables to Access
Clipper → Access reference
Type mapping
| Value kind | in Clipper | in Access |
|---|---|---|
| Int | Numeric(10,0) | Long Integer |
| Bigint | Numeric(19,0) | Long Integer |
| Decimal | Numeric(p,s) | Decimal |
| Float | Float | Double |
| Text | Character(n) | Text(n) |
| Long text | Memo | Long Text |
| Date | Date | Date/Time |
| Datetime | (none) | Date/Time |
| Binary | (none) | OLE Object |
| Boolean | Logical | Yes/No |
| JSON | (none) | Long Text |
Dialect differences
Both Clipper and Access are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Clipper | in Access |
|---|---|---|
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | Date/Time |
| long text | Memo (M) | MEMO |
| binary | — | OLE Object |
No counterpart
- Access has no equivalent for Date and time – it has to be flattened or dropped.
- Access has no equivalent for Binary – it has to be flattened or dropped.
- Access has no equivalent for JSON – it has to be flattened or dropped.
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