Batch copy xBase tables to Redshift

Want to batch copy data from xBase tables to Redshift?

Try Withdata DBCopier, a xBase to Redshift converter for Windows, Mac, and Linux, Bulk copy xBase to Redshift, Easy and Fast.

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Batch copy data from xBase tables to Redshift tables

Login to xBase and Redshift -> Select source xBase tables -> Set target Redshift tables -> Copy xBase data to Redshift

Choose source xBase database and logon.

convert xBase data to Redshift data - Choose xBase and logon

Choose target Redshift database and logon.

convert xBase data to Redshift data - Choose Redshift and logon

Click “Convert All Tables” at task dialog.

Batch import data from xBase tables to Redshift tables - Task Window

then show the wizard.

1. Select source xBase tables.

Batch convert data from xBase tables to Redshift tables - Open Source schema

2. List target Redshift tables.

Batch extract data from xBase tables to Redshift tables - select destination schema

3. Select Redshift tables to import.

Batch import data from xBase tables to Redshift tables - select tables

4. Transfer data from xBase tables to Redshift.

Batch copy data from xBase tables to Redshift tables - batch import


More about xBase to Redshift converter

See also:

xBase → Redshift reference

Type mapping

Value kindin xBasein Redshift
IntNumeric(10,0)integer
BigintNumeric(19,0)bigint
DecimalNumeric(p,s)numeric(p,s)
FloatFloatdouble precision
TextCharacter(n)varchar(n)
Long textMemovarchar(max)
DateDatedate
Datetime(none)timestamp
BooleanLogicalboolean
JSON(none)super

Dialect differences

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

Propertyin xBasein Redshift
port(file-based)5439
identifiers—"double quotes"
row limit(driver dependent)LIMIT n
datesDate (D)timestamp, date
long textMemo (M)VARCHAR(MAX)

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

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

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