Want to schedule and automate from Visual FoxPro to MariaDB copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled Visual FoxPro to MariaDB copy data task easily, just a few mouse clicks!
Let computer automate repetitive Visual FoxPro to MariaDB transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate Visual FoxPro to MariaDB data task
1. Select and run a task from follow list:
- Merge multiple similar Visual FoxPro tables to 1 MariaDB table
- Batch copy Visual FoxPro tables to MariaDB
- Copy Visual FoxPro query results to MariaDB table
- Copy Visual FoxPro table data to MariaDB
- Migrate Visual FoxPro to MariaDB
- Sync data from Visual FoxPro to MariaDB
- Convert Visual FoxPro To MariaDB
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy Visual FoxPro data to MariaDB
Visual FoxPro → MariaDB reference
Type mapping
| Value kind | in Visual FoxPro | in MariaDB |
|---|---|---|
| Int | Numeric(10,0) | INT |
| Bigint | Numeric(19,0) | BIGINT |
| Decimal | Numeric(p,s) | DECIMAL(p,s) |
| Float | Float | DOUBLE |
| Text | Character(n) | VARCHAR(n) |
| Long text | Memo | LONGTEXT |
| Date | Date | DATE |
| Datetime | DateTime | DATETIME |
| Binary | General | LONGBLOB |
| Boolean | Logical | TINYINT(1) |
| JSON | (none) | JSON |
Dialect differences
Both Visual FoxPro and MariaDB are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in MariaDB |
|---|---|---|
| port | (file-based) | 3306 |
| identifiers | — | `backtick` |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D), DateTime (T) | DATETIME, TIMESTAMP, DATE, TIME |
| long text | Memo (M) | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | General (G) | BLOB / TINYBLOB / LONGBLOB |
Command line
| Side | Command |
|---|---|
| MariaDB | mariadb-dump |
| MariaDB (load) | mariadb-import, or LOAD DATA INFILE |
No counterpart
- MariaDB has no equivalent for JSON – it has to be flattened or dropped.
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