Copy FoxPro table data to Oracle

Want to transfer data from FoxPro table to Oracle ?

Try Withdata DBCopier, a FoxPro to Oracle converter for Windows, Mac, and Linux, Copy FoxPro data to Oracle, Easy and Fast.

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Transfer data from FoxPro table To Oracle table

Login to FoxPro and Oracle -> Choose source FoxPro table -> Set target Oracle table -> Copy FoxPro data to Oracle

Choose source FoxPro database and logon.

convert FoxPro data to Oracle data - Choose FoxPro and logon

Choose target Oracle database and logon.

convert FoxPro data to Oracle data - Choose Oracle and logon

Click “Convert From Table” at task dialog.

Import data from FoxPro table to Oracle table - Task Window

then show the wizard.

1. Open a source FoxPro table.

Convert data from FoxPro table to Oracle table - Open Source

2. Select a destination Oracle table and config fields.

Extract FoxPro table data to Oracle table - select table

3. Preview data.

Migrage data from FoxPro table to Oracle table - preview

4. Import FoxPro data to Oracle.

Import data from FoxPro table to Oracle table - import


More about FoxPro to Oracle converter

See also:

FoxPro → Oracle reference

Type mapping

Value kindin FoxProin Oracle
IntNumeric(10,0)NUMBER(10)
BigintNumeric(19,0)NUMBER(19)
DecimalNumeric(p,s)NUMBER(p,s)
FloatFloatBINARY_DOUBLE
TextCharacter(n)VARCHAR2(n)
Long textMemoCLOB
DateDateDATE
Datetime(none)TIMESTAMP
BinaryGeneralBLOB
BooleanLogicalNUMBER(1)
JSON(none)CLOB

Dialect differences

Both FoxPro and Oracle are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.

Propertyin FoxProin Oracle
port(file-based)1521
identifiers—"double quotes"
row limit(driver dependent)FETCH FIRST n ROWS ONLY
datesDate (D)DATE, TIMESTAMP
long textMemo (M)CLOB, NCLOB
binaryGeneral (G)BLOB, BFILE

Command line

SideCommand
Oracleexp / 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 JSON – it has to be flattened or dropped.

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