Want to batch copy data from DBF tables to MySQL ?
Try Withdata DBCopier, a DBF to MySQL converter for Windows, Mac, and Linux, Bulk copy DBF 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.
Batch copy data from DBF tables to MySQL tables
Login to DBF and MySQL -> Select source DBF tables -> Set target MySQL tables -> Copy DBF data to MySQL
Choose source DBF database and logon.
Choose target MySQL database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source DBF tables.
2. List target MySQL tables.
3. Select MySQL tables to import.
4. Transfer data from DBF tables to MySQL.
More about DBF to MySQL converter
Download Withdata DBCopier
See also:
- Copy DBF table data to MySQL
- Copy DBF query results to MySQL table
- Merge multiple similar DBF tables to 1 MySQL table
DBF → MySQL reference
Type mapping
| Value kind | in DBF | 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 DBF and MySQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | 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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