# Java ORM test

## Initial assumptions

- JPA is f\*\*\*ing slow, due too many layers of abstraction
- NO xml and other shit-styled non-code-like sources must be needed
- no additional tools to work (only boxed with technology set or none is applicable)
<!-- - Current solution does not provide accurated integration path for jWick-kernel (and/or ᛏᚨᛒᛟᚱd-itself) -->

## Initila list of techs

- [Apache Cayenne](https://github.com/apache/cayenne)
- [Ebean](https://github.com/ebean-orm/ebean)
- [jOOQ](https://github.com/jOOQ/jOOQ)
- [speedment](https://github.com/speedment/speedment)
- [ORMLite Core](https://github.com/j256/ormlite-core)
- [EclipseLink](https://github.com/eclipse-ee4j/eclipselink)
- [MyBatis](https://github.com/mybatis/mybatis-3)
- [Querydsl](https://github.com/querydsl/querydsl)
- [Hibernate](https://github.com/hibernate/hibernate-orm) (as JPA representative - zero mark)

## Initial criteria

Must:

- encrypted columns
- no raw SQL for simple CRUD operations
- support for PostgreSQL

Good to see if:

- support for MariaDB
- support extended PostgreSQL features (including json and array)
- "N+1" problem automatic solutions (as much as possible)
- ability to generate raw SQL (to be executed elsewhere)
- support for binary (BLOB) storage and extraction (10Mb per record max)

## Test plan

- postgres version 14 & 14-alpine (test database performance baseline)
- two databases (one with partitioning, one without)
- tables per database
  - xxs _[50 records]_
  - xs _[500 records]_
  - s _[5000 records]_
  - m _[50000 records]_
  - l _[500000 records]_
  - xl _[5000000 records]_
  - xxl _[50000000 records]_
- each test module starts a fresh copy of database
- database content is procedure-generated
- random sequences must be pregenerated to be exactly same for all tests (to eliminate test-path diviations)
- random sequence for each test is unique and not intersect (to eliminate postgresql optimizations)

## Requests plan

- search
  - random get by id
  - find by integer equals
  - find by string equals
  - find by date equals
  - find by integer more X & less Y
  - find by float more X & less Y
  - find by date after X & before Y
  <!-- - update
  - random by id
  -
- insert
  - with correct data
  - with unique constrain
- update
  - random by id
  - by
- delete
  - random by id
  - by criteria -->

## Documentation analysis

**MyBatis** out of competitions, due to ass-whipping-xml notation.