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