Want to migrate from HiperSix to PostgreSQL ?
Try Withdata DBCopier, a HiperSix to PostgreSQL converter for Windows, Mac, and Linux, Migrate HiperSix to PostgreSQL, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create PostgreSQL tables with auto mapping data types. Create PostgreSQL indexes.
Migrate from HiperSix to PostgreSQL
Login to HiperSix -> Login to PostgreSQL -> Select tables to migrate -> Migrate from HiperSix to PostgreSQL
Choose source HiperSix database and logon.
Choose target PostgreSQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source HiperSix.
2. Set “Import Type”.
3. Select PostgreSQL tables to migrate.
4. Migrate from HiperSix to PostgreSQL.
Create PostgreSQL tables. Copy HiperSix data to PostgreSQL. Create PostgreSQL indexes.
FAQ
More about HiperSix to PostgreSQL converter
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See also:
HiperSix → PostgreSQL reference
Type mapping
| Value kind | in HiperSix | in PostgreSQL |
|---|---|---|
| Int | Numeric(10,0) | integer |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | numeric(p,s) |
| Float | Float | double precision |
| Text | Character(n) | varchar(n) |
| Long text | Memo | text |
| Date | Date | date |
| Datetime | (none) | timestamp |
| Binary | (none) | bytea |
| Boolean | Logical | boolean |
| 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.
| Property | in HiperSix | in PostgreSQL |
|---|---|---|
| port | (file-based) | 5432 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | timestamp, timestamptz, date, time |
| long text | Memo (M) | TEXT |
| binary | — | BYTEA |
Command line
| Side | Command |
|---|---|
| PostgreSQL | pg_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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