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Export multiple similar Visual FoxPro tables to one SQL file

Want to export data from multiple similar Visual FoxPro tables to one SQL file?

Try Withdata DBToFile, a Visual FoxPro to SQL converter for Windows, Linux, and macOS, Export Visual FoxPro data to SQL, Easy and Fast.

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MacOS 64 bit

Export multiple similar Visual FoxPro tables to a single SQL file

Login to Visual FoxPro -> Select Visual FoxPro tables -> Set SQL file options -> Export Visual FoxPro to SQL

Choose Visual FoxPro and logon.

Click “Export Similar Tables” at task dialog.

Select SQL file type.

1. Select similar Visual FoxPro tables.

2. Set SQL file options.

3. Set rows options.

4. Export multiple similar Visual FoxPro tables to a single SQL file.

After exporting, you can view output SQL file.


More about Visual FoxPro to SQL converter

See also:

Visual FoxPro → SQL reference

Type mapping

Value kindin Visual FoxProin SQL
IntNumeric(10,0)INT
BigintNumeric(19,0)BIGINT
DecimalNumeric(p,s)DECIMAL(p,s)
FloatFloatDOUBLE PRECISION
TextCharacter(n)VARCHAR(n)
Long textMemoTEXT / CLOB
DateDateDATE
DatetimeDateTimeTIMESTAMP
BinaryGeneralBLOB / BYTEA
BooleanLogicalBOOLEAN / SMALLINT
JSON(none)JSON / TEXT

Dialect differences

Visual FoxPro is a database server and SQL is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin Visual FoxProin SQL
port(file-based)—
identifiers—Two competing conventions: single-quoted literals and diale...
row limit(driver dependent)—
datesDate (D), DateTime (T)Depends on the dialect: DATE literals, TO_DATE(), or plain ...
long textMemo (M)—
binaryGeneral (G)Dialect-specific: X-quoted literal, 0x hex, or decode()
separator—Statement terminators (;)
encoding—No declaration
typing—Types belong to the target database, and they differ betwee...
shapeTables of rows and columnsStatements; a dump usually means CREATE TABLE plus INSERT rows
ceiling—No formal limit, but a single INSERT statement has to fit i...

No counterpart

  • SQL has no equivalent for JSON - it has to be flattened or dropped.

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