Want to migrate from Clipper to MySQL ?
Try Withdata DBCopier, a Clipper to MySQL converter for Windows, Mac, and Linux, Migrate Clipper 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 Clipper to MySQL
Login to Clipper -> Login to MySQL -> Select tables to migrate -> Migrate from Clipper to MySQL
Choose source Clipper database and logon.
Choose target MySQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Clipper.
2. Set “Import Type”.
3. Select MySQL tables to migrate.
4. Migrate from Clipper to MySQL.
Create MySQL tables. Copy Clipper data to MySQL. Create MySQL indexes.
FAQ
More about Clipper to MySQL converter
Download Withdata DBCopier
See also:
Clipper → MySQL reference
Type mapping
| Value kind | in Clipper | 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 Clipper and MySQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Clipper | 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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