Want to convert data from FoxBase to Oracle ?
Try Withdata DBCopier, a FoxBase to Oracle converter for Windows, Mac, and Linux, Convert FoxBase to Oracle, 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 Oracle
Login to FoxBase and Oracle -> Select source FoxBase tables -> Set target Oracle tables -> Convert FoxBase to Oracle
Choose source FoxBase database and logon.
Choose target Oracle database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source FoxBase.
2. List target Oracle tables.
3. Select Oracle tables to import.
4. Convert data from FoxBase to Oracle.
More about FoxBase to Oracle converter
Download Withdata DBCopier
See also:
FoxBase → Oracle reference
Type mapping
| Value kind | in FoxBase | in Oracle |
|---|---|---|
| Int | Numeric(10,0) | NUMBER(10) |
| Bigint | Numeric(19,0) | NUMBER(19) |
| Decimal | Numeric(p,s) | NUMBER(p,s) |
| Float | Float | BINARY_DOUBLE |
| Text | Character(n) | VARCHAR2(n) |
| Long text | Memo | CLOB |
| Date | Date | DATE |
| Datetime | (none) | TIMESTAMP |
| Binary | (none) | BLOB |
| Boolean | Logical | NUMBER(1) |
| JSON | (none) | CLOB |
Dialect differences
Both FoxBase and Oracle are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxBase | in Oracle |
|---|---|---|
| port | (file-based) | 1521 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | FETCH FIRST n ROWS ONLY |
| dates | Date (D) | DATE, TIMESTAMP |
| long text | Memo (M) | CLOB, NCLOB |
| binary | — | BLOB, BFILE |
Command line
| Side | Command |
|---|---|
| Oracle | exp / expdp |
| Oracle (load) | sqlldr (SQL*Loader) |
No counterpart
- Oracle has no equivalent for Date and time – it has to be flattened or dropped.
- Oracle has no equivalent for Binary – it has to be flattened or dropped.
- Oracle has no equivalent for JSON – it has to be flattened or dropped.
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