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https://github.com/touk/krush
Idiomatic persistence layer for Kotlin
https://github.com/touk/krush
jpa kotlin lightweight sql
Last synced: about 20 hours ago
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Idiomatic persistence layer for Kotlin
- Host: GitHub
- URL: https://github.com/touk/krush
- Owner: TouK
- License: apache-2.0
- Created: 2019-12-30T09:46:17.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-08-30T09:09:12.000Z (over 1 year ago)
- Last Synced: 2024-12-17T12:06:17.926Z (8 days ago)
- Topics: jpa, kotlin, lightweight, sql
- Language: Kotlin
- Homepage:
- Size: 750 KB
- Stars: 248
- Watchers: 23
- Forks: 13
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
## Krush
[](https://sputnik.ci/app#/builds/TouK/krush)
**Krush** is a lightweight persistence layer for Kotlin based on [Exposed SQL DSL](https://github.com/JetBrains/Exposed/wiki/DSL). It’s similar to [Requery](http://requery.io) and [Micronaut-data jdbc](https://micronaut-projects.github.io/micronaut-data/latest/guide/#jdbc), but designed to work idiomatically with Kotlin and immutable data classes.
It’s based on a compile-time JPA annotation processor that generates Exposed DSL table and objects mappings for you. This lets you instantly start writing type-safe SQL queries without need to write boilerplate infrastructure code.
### Rationale
* **(type-safe) SQL-first** - use type-safe SQL-like DSL in your queries, no string or method name parsing
* **Minimal changes to your domain model** - no need to extend external interfaces and used special types - just add annotations to your existing domain model
* **Explicit fetching** - you specify explicitly in query what data you want to fetch, no additional fetching after data is loaded
* **No runtime magic** - no proxies, lazy loading, just data classes containing data fetched from DB
* **Pragmatic** - easy to start, but powerful even in not trivial cases (associations, grouping queries)
### Example
Given a simple `Book` class:
```kotlin
data class Book(
val id: Long? = null,
val isbn: String,
val title: String,
val author: String,
val publishDate: LocalDate
)
```
we can turn it into **Krush** entity by adding `@Entity` and `@Id` annotations:
```kotlin
@Entity
data class Book(
@Id @GeneratedValue
val id: Long? = null,
val isbn: String,
val title: String,
val author: String,
val publishDate: LocalDate
)
```
When we build the project we’ll have `BookTable` mapping generated for us. So we can persist the `Book`:
```kotlin
val book = Book(
isbn = "1449373321", publishDate = LocalDate.of(2017, Month.APRIL, 11),
title = "Designing Data-Intensive Applications", author = "Martin Kleppmann"
)
// insert method is generated by Krush
val persistedBook = BookTable.insert(book)
assertThat(persistedBook.id).isNotNull()
```
So we have now a `Book` persisted in DB with autogenerated `Book.id` field.
And now we can use type-safe SQL DSL to query the `BookTable`:
```kotlin
val bookId = book.id ?: throw IllegalArgumentException()
// toBook method is generated by Krush
val fetchedBook = BookTable.select { BookTable.id eq bookId }.singleOrNull()?.toBook()
assertThat(fetchedBook).isEqualTo(book)
// toBookList method is generated by Krush
val selectedBooks = (BookTable)
.select { BookTable.author like "Martin K%" }
.toBookList()
assertThat(selectedBooks).containsOnly(persistedBook)
```
### Installation
Gradle Groovy:
```groovy
repositories {
mavenCentral()
}
apply plugin: 'kotlin-kapt'
dependencies {
api "pl.touk.krush:krush-annotation-processor:$krushVersion"
kapt "pl.touk.krush:krush-annotation-processor:$krushVersion"
api "pl.touk.krush:krush-runtime:$krushVersion"
}
```
Gradle Kotlin:
```kotlin
repositories {
mavenCentral()
}
plugins {
kotlin("kapt") version "$kotlinVersion"
}
dependencies {
api("pl.touk.krush:krush-annotation-processor:$krushVersion")
kapt("pl.touk.krush:krush-annotation-processor:$krushVersion")
api("pl.touk.krush:krush-runtime:$krushVersion")
}
```
Maven:
```xml
pl.touk.krush
krush-runtime
${krush.version}
...
org.jetbrains.kotlin
kotlin-maven-plugin
kapt
kapt
...
pl.touk.krush
krush-annotation-processor
${krush.version}
...
```
### Dependencies
* [JetBrains Exposed](https://github.com/JetBrains/Exposed)
* JPA annotations 2.1
### Features
* generates table mappings and functions for mapping from/to data classes
* type-safe SQL DSL without reading schema from existing database (code-first)
* explicit association fetching (via `leftJoin` / `innerJoin`)
* multiple data types support, including type aliases
* custom data type support (with `@Converter`), also for wrapped auto-generated ids
* you can still persist associations not directly reflected in domain model (eq. article favorites)
However, **Krush** is not a full-blown ORM library. This means following JPA features are not supported:
* lazy association fetching
* dirty checking
* caching
* versioning / optimistic locking
### Updating
Given following entity:
```kotlin
@Entity
data class Reservation(
@Id
val uid: UUID = UUID.randomUUID(),
@Enumerated(EnumType.STRING)
val status: Status = Status.FREE,
val reservedAt: LocalDateTime? = null,
val freedAt: LocalDateTime? = null
) {
fun reserve() = copy(status = Status.RESERVED, reservedAt = LocalDateTime.now())
fun free() = copy(status = Status.FREE, freedAt = LocalDateTime.now())
}
enum class Status { FREE, RESERVED }
```
you can call Exposed `update` with generated `from` metod to overwrite it's data:
```kotlin
val reservation = Reservation().reserve().let(ReservationTable::insert)
val freedReservation = reservation.free()
ReservationTable.update({ ReservationTable.uid eq reservation.uid }) { it.from(freedReservation) }
val updatedReservation = ReservationTable.select({ ReservationTable.uid eq reservation.uid }).singleOrNull()?.toReservation()
assertThat(updatedReservation?.status).isEqualTo(Status.FREE)
assertThat(updatedReservation?.reservedAt).isEqualTo(reservation.reservedAt)
assertThat(updatedReservation?.freedAt).isEqualTo(freedReservation.freedAt)
```
For simple cases you can still use Exposed native update syntax:
```kotlin
val freedAt = LocalDateTime.now()
ReservationTable.update({ ReservationTable.uid eq reservation.uid }) {
it[ReservationTable.status] = Status.FREE
it[ReservationTable.freedAt] = freedAt
}
```
Other Exposed features are supported as well, like, `replace`:
```kotlin
val reservation = Reservation().reserve()
ReservationTable.replace { it.from(reservation) }
val freedReservation = reservation.free()
ReservationTable.replace { it.from(freedReservation) }
val allReservations = ReservationTable.selectAll().toReservationList()
assertThat(allReservations).containsExactly(freedReservation)
```
and `batchInsert`/`batchReplace`:
```kotlin
val reservation1 = Reservation().reserve()
val reservation2 = Reservation().reserve()
ReservationTable.batchInsert(
listOf(reservation1, reservation2), body = { this.from(it) }
)
val allReservations = ReservationTable.selectAll().toReservationList()
assertThat(allReservations)
.containsExactly(reservation1, reservation2)
}
```
[Complete example](https://github.com/TouK/krush-example/blob/master/src/test/kotlin/pl/touk/krush/ReservationTest.kt)
### Associations
```kotlin
@Entity
@Table(name = "articles")
data class Article(
@Id @GeneratedValue
val id: Long? = null,
@Column(name = "title")
val title: String,
@ManyToMany
@JoinTable(name = "article_tags")
val tags: List = emptyList()
)
@Entity
@Table(name = "tags")
data class Tag(
@Id @GeneratedValue
val id: Long? = null,
@Column(name = "name")
val name: String
)
```
Persisting
```kotlin
val tag1 = Tag(name = "jvm")
val tag2 = Tag(name = "spring")
val tags = listOf(tag1, tag2).map(TagTable::insert)
val article = Article(title = "Spring for dummies", tags = tags)
val persistedArticle = ArticleTable.insert(article)
```
Querying and fetching
```kotlin
val (selectedArticle) = (ArticleTable leftJoin ArticleTagsTable leftJoin TagTable)
.select { TagTable.name inList listOf("jvm", "spring") }
.toArticleList()
assertThat(selectedArticle).isEqualTo(persistedArticle)
```
Update logic for associations not implemented (yet!) - you have to manually add/remove records from `ArticleTagsTable`.
### Custom column wrappers
Krush exposes some helpful wrappers for user classes to easily convert them to specific columns in database, e.g.
```kotlin
@JvmInline
value class MyStringId(val raw: String)
@JvmInline
value class MyUUID(val raw: UUID)
@JvmInline
value class MyVersion(val raw: Int)
enum class MyState { ACTIVE, INACTIVE }
fun Table.myStringId(name: String) = stringWrapper(name, ::MyStringId) { it.raw }
fun Table.myUUID(name: String) = uuidWrapper(name, ::MyUUID) { it.raw }
fun Table.myVersion(name: String) = integerWrapper(name, ::MyVersion) { it.raw }
fun Table.myState(name: String) = booleanWrapper(name, { if (it) MyState.ACTIVE else MyState.INACTIVE }) {
when (it) {
MyState.ACTIVE -> true
MyState.INACTIVE -> false
}
}
object MyTable : Table("test") {
val id = myStringId("my_id").nullable()
val uuid = myUUID("my_uuid").nullable()
val version = myVersion("my_version").nullable()
val state = myState("my_state").nullable()
}
```
### Support for Postgresql `distinct on (...)`
Postgresql allows usage of nonstandard clause [`DISTINCT ON` in queries](https://www.postgresql.org/docs/current/sql-select.html).
Krush provides custom `distinctOn` extension method which can be used as first parameter in custom `slice` extension method.
**Postgresql specific extensions needs `krush-runtime-postgresql` dependency in maven or gradle**
Example code:
```kotlin
@JvmInline
value class MyStringId(val raw: String)
@JvmInline
value class MyVersion(val raw: Int)
fun Table.myStringId(name: String) = stringWrapper(name, ::MyStringId) { it.raw }
fun Table.myVersion(name: String) = integerWrapper(name, ::MyVersion) { it.raw }
object MyTable : Table("test") {
val id = myStringId("my_id").nullable()
val version = myVersion("my_version").nullable()
val content = jsonb("content").nullable()
}
fun findNewestContentVersion(id: MyStringId): String? =
MyTable
.slice(MyTable.id.distinctOn(), MyTable.content)
.select { MyTable.id eq id }
.orderBy(MyTable.id to SortOrder.ASC, MyTable.version to SortOrder.DESC)
.map { it[MyTable.content] }
.firstOrNull()
```
when `findNewestContentVersion(MyStringId("123"))` is called will generate SQL:
```postgresql
SELECT DISTINCT ON (test.my_id) TRUE, test.my_id, test."content"
FROM test
WHERE test.my_id = '123'
ORDER BY test.my_id ASC, test.my_version DESC
```
### Example projects
* [https://github.com/TouK/kotlin-exposed-realworld](https://github.com/TouK/kotlin-exposed-realworld)
* [https://github.com/TouK/krush-example](https://github.com/TouK/krush-example)
### Contributors
* [Mateusz Śledź](https://github.com/mateuszsledz)
* [Piotr Jagielski](https://github.com/pjagielski)
* [Namnodorel](https://github.com/Namnodorel)
* [Dominik Przybysz](https://github.com/alien11689)
Special thanks to [Łukasz Jędrzejewski](https://github.com/jedrz) for original idea of using Exposed in our projects.
### Licence
**Krush** is published under Apache License 2.0.