Want to migrate from Visual FoxPro to MySQL ?
Try Withdata DBCopier, a Visual FoxPro to MySQL converter for Windows, Mac, and Linux, Migrate Visual FoxPro to MySQL, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create MySQL tables with auto mapping data types. Create MySQL indexes.
Migrate from Visual FoxPro to MySQL
Login to Visual FoxPro -> Login to MySQL -> Select tables to migrate -> Migrate from Visual FoxPro to MySQL
Choose source Visual FoxPro database and logon.
Choose target MySQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Visual FoxPro.
2. Set “Import Type”.
3. Select MySQL tables to migrate.
4. Migrate from Visual FoxPro to MySQL.
Create MySQL tables. Copy Visual FoxPro data to MySQL. Create MySQL indexes.
FAQ
More about Visual FoxPro to MySQL converter
Download Withdata DBCopier
See also:
Visual FoxPro → MySQL reference
Type mapping
| Value kind | in Visual FoxPro | in MySQL |
|---|---|---|
| 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 MySQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in MySQL |
|---|---|---|
| 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 |
|---|---|
| MySQL | mysqldump, or mysql -e "SELECT ..." > out.csv |
| MySQL (load) | mysqlimport, or LOAD DATA INFILE |
No counterpart
- MySQL has no equivalent for JSON – it has to be flattened or dropped.
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