Want to schedule and automate from Clipper to SQL Server copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled Clipper to SQL Server copy data task easily, just a few mouse clicks!
Let computer automate repetitive Clipper to SQL Server transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate Clipper to SQL Server data task
1. Select and run a task from follow list:
- Merge multiple similar Clipper tables to 1 SQL Server table
- Batch copy Clipper tables to SQL Server
- Copy Clipper query results to SQL Server table
- Copy Clipper table data to SQL Server
- Migrate Clipper to SQL Server
- Sync data from Clipper to SQL Server
- Convert Clipper To SQL Server
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy Clipper data to SQL Server
Clipper → SQL Server reference
Type mapping
| Value kind | in Clipper | 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 Clipper and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Clipper | 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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