Want to schedule and automate from DBF to SQL Server copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled DBF to SQL Server copy data task easily, just a few mouse clicks!
Let computer automate repetitive DBF to SQL Server transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate DBF to SQL Server data task
1. Select and run a task from follow list:
- Merge multiple similar DBF tables to 1 SQL Server table
- Batch copy DBF tables to SQL Server
- Copy DBF query results to SQL Server table
- Copy DBF table data to SQL Server
- Migrate DBF to SQL Server
- Sync data from DBF to SQL Server
- Convert DBF To SQL Server
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy DBF data to SQL Server
DBF → SQL Server reference
Type mapping
| Value kind | in DBF | 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 | (none) | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both DBF and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | 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 | — | 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 Binary – 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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