Batch copy Azure tables to dBase

Want to batch copy data from Azure tables to dBase?

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Batch copy data from Azure tables to dBase tables

Login to Azure and dBase -> Select source Azure tables -> Set target dBase tables -> Copy Azure data to dBase

Choose source Azure database and logon.

convert Azure data to dBase data - Choose Azure and logon

Choose target dBase database and logon.

convert Azure data to dBase data - Choose dBase and logon

Click “Convert All Tables” at task dialog.

Batch import data from Azure tables to dBase tables - Task Window

then show the wizard.

1. Select source Azure tables.

Batch convert data from Azure tables to dBase tables - Open Source schema

2. List target dBase tables.

Batch extract data from Azure tables to dBase tables - select destination schema

3. Select dBase tables to import.

Batch import data from Azure tables to dBase tables - select tables

4. Transfer data from Azure tables to dBase.

Batch copy data from Azure tables to dBase tables - batch import


More about Azure to dBase converter

See also:

Azure SQL → dBase reference

Type mapping

Value kindin Azure SQLin dBase
IntintNumeric(10,0)
BigintbigintNumeric(19,0)
Decimaldecimal(p,s)Numeric(p,s)
FloatfloatFloat
Textnvarchar(n)Character(n)
Long textnvarchar(max)Memo
DatedateDate
Datetimedatetime2(none)
Binaryvarbinary(max)(none)
BooleanbitLogical
JSONnvarchar(max)(none)

Dialect differences

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

Propertyin Azure SQLin dBase
port1433(file-based)
identifiers[square brackets]—
row limitSELECT TOP n(driver dependent)
datesdatetime2, date, timeDate (D)
long textnvarchar(max)Memo (M)
binaryvarbinary(max)—

Command line

SideCommand
Azure SQLbcp
Azure SQL (load)bcp, or BULK INSERT

No counterpart

  • Azure SQL values of kind Date and time have nowhere to go in dBase.
  • Azure SQL values of kind Binary have nowhere to go in dBase.
  • Azure SQL values of kind JSON have nowhere to go in dBase.

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