Want to convert data from FoxBase to MySQL ?
Try Withdata DBCopier, a FoxBase to MySQL converter for Windows, Mac, and Linux, Convert FoxBase to MySQL, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Support Windows, Linux, and macOS.
Convert data from FoxBase to MySQL
Login to FoxBase and MySQL -> Select source FoxBase tables -> Set target MySQL tables -> Convert 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. List target MySQL tables.
3. Select MySQL tables to import.
4. Convert data from FoxBase to MySQL.
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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