Batch copy HiperSix tables to PostgreSQL

Want to batch copy data from HiperSix tables to PostgreSQL ?

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Batch copy data from HiperSix tables to PostgreSQL tables

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

Choose source HiperSix database and logon.

convert HiperSix data to PostgreSQL data - Choose HiperSix and logon

Choose target PostgreSQL database and logon.

convert HiperSix data to PostgreSQL data - Choose PostgreSQL and logon

Click “Convert All Tables” at task dialog.

Batch import data from HiperSix tables to PostgreSQL tables - Task Window

then show the wizard.

1. Select source HiperSix tables.

Batch convert data from HiperSix tables to PostgreSQL tables - Open Source schema

2. List target PostgreSQL tables.

Batch extract data from HiperSix tables to PostgreSQL tables - select destination schema

3. Select PostgreSQL tables to import.

Batch import data from HiperSix tables to PostgreSQL tables - select tables

4. Transfer data from HiperSix tables to PostgreSQL.

Batch copy data from HiperSix tables to PostgreSQL tables - batch 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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