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Export FoxPro table to SQL using dynamic filename with current date

Want to export data from FoxPro table to SQL using current date as file name?

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

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Export data from FoxPro table to SQL file using dynamic filename with date and time

Login to FoxPro -> Choose FoxPro table -> Set SQL filename template including date -> Export FoxPro to SQL using current date as file name

Choose FoxPro and logon.

“Export From Table” for “SQL to FoxPro“.

Select SQL file type.

1. Choose FoxPro table.

2. Set SQL file options. Enter filename template, including date, #yyyy# is for current year, #mm# month, #dd# day, #hh# hour, #mi# minute, #ss# second.

3. Set rows options.

4. Export FoxPro table data to SQL file. Dynamically created SQL file name using present system time.

After exporting, you can view output SQL files.


More about FoxPro to SQL converter

FoxPro → SQL reference

Type mapping

Value kindin 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
Datetime(none)TIMESTAMP
BinaryGeneralBLOB / BYTEA
BooleanLogicalBOOLEAN / SMALLINT
JSON(none)JSON / TEXT

Dialect differences

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 FoxProin SQL
port(file-based)—
identifiers—Two competing conventions: single-quoted literals and diale...
row limit(driver dependent)—
datesDate (D)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 Date and time - it has to be flattened or dropped.
  • SQL has no equivalent for JSON - it has to be flattened or dropped.

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