Convert HiperSix To PostgreSQL

Want to convert data from HiperSix to PostgreSQL ?

Try Withdata DBCopier, a HiperSix to PostgreSQL converter for Windows, Mac, and Linux, Convert HiperSix to PostgreSQL, Easy and Fast.

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Convert data from HiperSix to PostgreSQL

Login to HiperSix and PostgreSQL -> Select source HiperSix tables -> Set target PostgreSQL tables -> Convert HiperSix to PostgreSQL

Choose source HiperSix database and logon.

Convert data from HiperSix to PostgreSQL - Choose HiperSix and logon

Choose target PostgreSQL database and logon.

Convert data from HiperSix to PostgreSQL - Choose PostgreSQL and logon

Click “Wizard – Import All Tables” at task dialog.

Convert data from HiperSix to PostgreSQL - Task Window

then show the wizard.

1. Open source HiperSix.

Convert data from HiperSix to PostgreSQL - Open source database

2. List target PostgreSQL tables.

Convert data from HiperSix to PostgreSQL - list target tables

3. Select PostgreSQL tables to import.

Convert data from HiperSix to PostgreSQL - select tables

4. Convert data from HiperSix to PostgreSQL.

Convert data from HiperSix to PostgreSQL - import


More about HiperSix to PostgreSQL converter

See also:

HiperSix → PostgreSQL reference

Type mapping

Value kindin HiperSixin PostgreSQL
IntNumeric(10,0)integer
BigintNumeric(19,0)bigint
DecimalNumeric(p,s)numeric(p,s)
FloatFloatdouble precision
TextCharacter(n)varchar(n)
Long textMemotext
DateDatedate
Datetime(none)timestamp
Binary(none)bytea
BooleanLogicalboolean
JSON(none)jsonb

Dialect differences

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

Propertyin HiperSixin PostgreSQL
port(file-based)5432
identifiers—"double quotes"
row limit(driver dependent)LIMIT n
datesDate (D)timestamp, timestamptz, date, time
long textMemo (M)TEXT
binary—BYTEA

Command line

SideCommand
PostgreSQLpg_dump or COPY ... TO
PostgreSQL (load)COPY ... FROM

No counterpart

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

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