Want to migrate from FoxBase to MySQL ?
Try Withdata DBCopier, a FoxBase to MySQL converter for Windows, Mac, and Linux, Migrate FoxBase 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 FoxBase to MySQL
Login to FoxBase -> Login to MySQL -> Select tables to migrate -> Migrate from FoxBase to MySQL
Choose source FoxBase database and logon.
Choose target MySQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source FoxBase.
2. Set “Import Type”.
3. Select MySQL tables to migrate.
4. Migrate from FoxBase to MySQL.
Create MySQL tables. Copy FoxBase data to MySQL. Create MySQL indexes.
FAQ
More about FoxBase to MySQL converter
Download Withdata DBCopier
See also:
FoxBase → MySQL reference
Type mapping
| Value kind | in FoxBase | 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 | (none) | DATETIME |
| Binary | (none) | LONGBLOB |
| Boolean | Logical | TINYINT(1) |
| JSON | (none) | JSON |
Dialect differences
Both FoxBase and MySQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxBase | in MySQL |
|---|---|---|
| port | (file-based) | 3306 |
| identifiers | — | `backtick` |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | DATETIME, TIMESTAMP, DATE, TIME |
| long text | Memo (M) | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | — | 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 Date and time – it has to be flattened or dropped.
- MySQL has no equivalent for Binary – it has to be flattened or dropped.
- MySQL has no equivalent for JSON – it has to be flattened or dropped.
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