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Merge multiple similar HiperSix tables to 1 SQL Server table

Want to transfer data from multiple similar HiperSix tables to 1 SQL Server table?

Try Withdata DBCopier, a HiperSix to SQL Server converter for Windows, Mac, and Linux, Copy HiperSix data to SQL Server, Easy and Fast.

Download Withdata DBCopier
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Transfer data from multiple similar HiperSix tables to a single SQL Server table

Login to HiperSix and SQL Server -> Select source HiperSix tables -> Set the target SQL Server table -> Copy HiperSix data to SQL Server

Choose source HiperSix database and logon.

Choose target SQL Server database and logon.

Click “Convert Similar Tables” at task dialog.

then show the wizard.

1. Select similar HiperSix tables.

2. Select a destination SQL Server table and config fields.

3. Preview data.

4. Import data from multiple similar HiperSix tables to a single SQL Server table.


More about HiperSix to SQL Server converter

See also:

HiperSix → SQL Server reference

Type mapping

Value kindin HiperSixin SQL Server
IntNumeric(10,0)int
BigintNumeric(19,0)bigint
DecimalNumeric(p,s)decimal(p,s)
FloatFloatfloat
TextCharacter(n)nvarchar(n)
Long textMemonvarchar(max)
DateDatedate
Datetime(none)datetime2
Binary(none)varbinary(max)
BooleanLogicalbit
JSON(none)nvarchar(max)

Dialect differences

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

Propertyin HiperSixin SQL Server
port(file-based)1433
identifiers—[square brackets]
row limit(driver dependent)SELECT TOP n
datesDate (D)datetime, datetime2, date, time
long textMemo (M)nvarchar(max)
binary—varbinary(max)

Command line

SideCommand
SQL Serverbcp
SQL Server (load)bcp, or BULK INSERT

No counterpart

  • SQL Server has no equivalent for Date and time - it has to be flattened or dropped.
  • SQL Server has no equivalent for Binary - it has to be flattened or dropped.
  • SQL Server has no equivalent for JSON - it has to be flattened or dropped.

Convert your data online, free

Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.