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81 lines
2.4 KiB
Markdown
81 lines
2.4 KiB
Markdown
# Java ORM test
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## Initial assumptions
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- JPA is f\*\*\*ing slow, due too many layers of abstraction
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- NO xml and other shit-styled non-code-like sources must be needed
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- no additional tools to work (only boxed with technology set or none is applicable)
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<!-- - Current solution does not provide accurated integration path for jWick-kernel (and/or ᛏᚨᛒᛟᚱd-itself) -->
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## Initila list of techs
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- [Apache Cayenne](https://github.com/apache/cayenne)
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- [Ebean](https://github.com/ebean-orm/ebean)
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- [jOOQ](https://github.com/jOOQ/jOOQ)
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- [speedment](https://github.com/speedment/speedment)
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- [ORMLite Core](https://github.com/j256/ormlite-core)
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- [EclipseLink](https://github.com/eclipse-ee4j/eclipselink)
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- [MyBatis](https://github.com/mybatis/mybatis-3)
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- [Querydsl](https://github.com/querydsl/querydsl)
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- [Hibernate](https://github.com/hibernate/hibernate-orm) (as JPA representative - zero mark)
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## Initial criteria
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Must:
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- encrypted columns
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- no raw SQL for simple CRUD operations
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- support for PostgreSQL
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Good to see if:
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- support for MariaDB
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- support extended PostgreSQL features (including json and array)
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- "N+1" problem automatic solutions (as much as possible)
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- ability to generate raw SQL (to be executed elsewhere)
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- support for binary (BLOB) storage and extraction (10Mb per record max)
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## Test plan
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- postgres version 14 & 14-alpine (test database performance baseline)
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- two databases (one with partitioning, one without)
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- tables per database
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- xxs _[50 records]_
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- xs _[500 records]_
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- s _[5000 records]_
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- m _[50000 records]_
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- l _[500000 records]_
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- xl _[5000000 records]_
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- xxl _[50000000 records]_
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- each test module starts a fresh copy of database
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- database content is procedure-generated
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- random sequences must be pregenerated to be exactly same for all tests (to eliminate test-path diviations)
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- random sequence for each test is unique and not intersect (to eliminate postgresql optimizations)
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## Requests plan
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- search
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- random get by id
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- find by integer equals
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- find by string equals
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- find by date equals
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- find by integer more X & less Y
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- find by float more X & less Y
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- find by date after X & before Y
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<!-- - update
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- random by id
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-
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- insert
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- with correct data
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- with unique constrain
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- update
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- random by id
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- by
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- delete
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- random by id
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- by criteria -->
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## Documentation analysis
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**MyBatis** out of competitions, due to ass-whipping-xml notation.
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