Batch copy FoxPro tables to SQLite

Want to batch copy data from FoxPro tables to SQLite ?

Try Withdata DBCopier, a FoxPro to SQLite converter for Windows, Mac, and Linux, Bulk copy FoxPro to SQLite, Easy and Fast.

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Batch copy data from FoxPro tables to SQLite tables

Login to FoxPro and SQLite -> Select source FoxPro tables -> Set target SQLite tables -> Copy FoxPro data to SQLite

Choose source FoxPro database and logon.

convert FoxPro data to SQLite data - Choose FoxPro and logon

Choose target SQLite database and logon.

convert FoxPro data to SQLite data - Choose SQLite and logon

Click “Convert All Tables” at task dialog.

Batch import data from FoxPro tables to SQLite tables - Task Window

then show the wizard.

1. Select source FoxPro tables.

Batch convert data from FoxPro tables to SQLite tables - Open Source schema

2. List target SQLite tables.

Batch extract data from FoxPro tables to SQLite tables - select destination schema

3. Select SQLite tables to import.

Batch import data from FoxPro tables to SQLite tables - select tables

4. Transfer data from FoxPro tables to SQLite.

Batch copy data from FoxPro tables to SQLite tables - batch import


More about FoxPro to SQLite converter

See also:

FoxPro → SQLite reference

Type mapping

Value kindin FoxProin SQLite
IntNumeric(10,0)INTEGER
BigintNumeric(19,0)INTEGER
DecimalNumeric(p,s)NUMERIC
FloatFloatREAL
TextCharacter(n)TEXT
Long textMemoTEXT
DateDateTEXT
Datetime(none)TEXT
BinaryGeneralBLOB
BooleanLogicalINTEGER

Dialect differences

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

Propertyin FoxProin SQLite
identifiers—"double quotes" or [brackets]
row limit(driver dependent)LIMIT n
datesDate (D)TEXT (no date type)
long textMemo (M)TEXT
binaryGeneral (G)BLOB

Command line

SideCommand
SQLitesqlite3 .dump
SQLite (load).import (sqlite3)

No counterpart

  • SQLite has no equivalent for Date and time – it has to be flattened or dropped.
  • SQLite has no equivalent for JSON – it has to be flattened or dropped.

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