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Export Clipper table to SQL

Want to export data from Clipper table to SQL file?

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

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Windows 64 bit
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Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Export data from Clipper table to SQL file

Connect to Clipper -> Choose Clipper table -> Set SQL file options -> Export Clipper to SQL

Choose Clipper and connect.

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

Select SQL file type.

1. Choose Clipper table.

2. Set SQL file options.

3. Set rows options.

4. Export Clipper data to SQL file.

After exporting, you can view output SQL files.


More about Clipper to SQL converter

See also:

Clipper → SQL reference

Type mapping

Value kindin Clipperin 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
Binary(none)BLOB / BYTEA
BooleanLogicalBOOLEAN / SMALLINT
JSON(none)JSON / TEXT

Dialect differences

Clipper 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 Clipperin 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)—
binary—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 Binary - it has to be flattened or dropped.
  • SQL has no equivalent for JSON - it has to be flattened or dropped.

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