Copy DBF query results to MySQL table

Want to transfer data from DBF query results to MySQL table?

Try Withdata DBCopier, a DBF to MySQL converter for Windows, Mac, and Linux, Copy DBF query to MySQL, Easy and Fast.

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Transfer data from DBF query To MySQL table

Login to DBF and MySQL -> Enter source DBF query -> Set target MySQL table -> Copy DBF query data to MySQL table

Choose source DBF database and logon.

convert DBF query to MySQL table - Choose DBF and logon

Choose target MySQL database and logon.

save DBF query results to MySQL table - Choose MySQL and logon

Click “Convert From Query” at task dialog.

Import data from DBF query results to MySQL table - Task Window

then show the wizard.

1. Set a DBF query.

Convert data from DBF query results to MySQL table - open query results

2. Select a destination MySQL table and config fields.

Extract DBF query results data to MySQL table - select table

3. Preview data.

Migrage data from DBF query results to MySQL table - preview

4. Transfer data from DBF query result to MySQL table.

save data from DBF query results to MySQL table - import


More about DBF to MySQL converter

See also:

DBF → MySQL reference

Type mapping

Value kindin DBFin MySQL
IntNumeric(10,0)INT
BigintNumeric(19,0)BIGINT
DecimalNumeric(p,s)DECIMAL(p,s)
FloatFloatDOUBLE
TextCharacter(n)VARCHAR(n)
Long textMemoLONGTEXT
DateDateDATE
Datetime(none)DATETIME
Binary(none)LONGBLOB
BooleanLogicalTINYINT(1)
JSON(none)JSON

Dialect differences

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

Propertyin DBFin MySQL
port(file-based)3306
identifiers—`backtick`
row limit(driver dependent)LIMIT n
datesDate (D)DATETIME, TIMESTAMP, DATE, TIME
long textMemo (M)TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT
binary—BLOB / TINYBLOB / LONGBLOB

Command line

SideCommand
MySQLmysqldump, or mysql -e "SELECT ..." > out.csv
MySQL (load)mysqlimport, or LOAD DATA INFILE

No counterpart

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

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