Want to migrate from Visual FoxPro to SQL Server ?
Try Withdata DBCopier, a Visual FoxPro to SQL Server converter for Windows, Mac, and Linux, Migrate Visual FoxPro to SQL Server, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create SQL Server tables with auto mapping data types. Create SQL Server indexes.
Migrate from Visual FoxPro to SQL Server
Login to Visual FoxPro -> Login to SQL Server -> Select tables to migrate -> Migrate from Visual FoxPro to SQL Server
Choose source Visual FoxPro database and logon.
Choose target SQL Server database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Visual FoxPro.
2. Set “Import Type”.
3. Select SQL Server tables to migrate.
4. Migrate from Visual FoxPro to SQL Server.
Create SQL Server tables. Copy Visual FoxPro data to SQL Server. Create SQL Server indexes.
FAQ
More about Visual FoxPro to SQL Server converter
Download Withdata DBCopier
See also:
Visual FoxPro → SQL Server reference
Type mapping
| Value kind | in Visual FoxPro | in SQL Server |
|---|---|---|
| Int | Numeric(10,0) | int |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | decimal(p,s) |
| Float | Float | float |
| Text | Character(n) | nvarchar(n) |
| Long text | Memo | nvarchar(max) |
| Date | Date | date |
| Datetime | DateTime | datetime2 |
| Binary | General | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both Visual FoxPro and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in SQL Server |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D), DateTime (T) | datetime, datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | General (G) | varbinary(max) |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
No counterpart
- SQL Server has no equivalent for JSON – it has to be flattened or dropped.
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