Want to migrate from FoxPro to SQL Server ?
Try Withdata DBCopier, a FoxPro to SQL Server converter for Windows, Mac, and Linux, Migrate 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 FoxPro to SQL Server
Login to FoxPro -> Login to SQL Server -> Select tables to migrate -> Migrate from FoxPro to SQL Server
Choose source 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 FoxPro.
2. Set “Import Type”.
3. Select SQL Server tables to migrate.
4. Migrate from FoxPro to SQL Server.
Create SQL Server tables. Copy FoxPro data to SQL Server. Create SQL Server indexes.
FAQ
More about FoxPro to SQL Server converter
Download Withdata DBCopier
See also:
FoxPro → SQL Server reference
Type mapping
| Value kind | in 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 | (none) | datetime2 |
| Binary | General | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both 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 FoxPro | in SQL Server |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | 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 Date and time – it has to be flattened or dropped.
- SQL Server has no equivalent for JSON – it has to be flattened or dropped.
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