💾 Datenbank
📖 Was ist Exposed?
Exposed ist eine SQL-Bibliothek für Kotlin. Sie ermöglicht es Ihnen, Datenbankoperationen einfach und sicher mit einer typsicheren DSL durchzuführen!
💡 Konfiguration
build.gradle.kts
dependencies {
implementation("org.jetbrains.exposed:exposed-core:0.44.0")
implementation("org.jetbrains.exposed:exposed-dao:0.44.0")
implementation("org.jetbrains.exposed:exposed-jdbc:0.44.0")
// H2 데이터베이스 (개발용)
implementation("com.h2database:h2:2.2.224")
// PostgreSQL (프로덕션용)
// implementation("org.postgresql:postgresql:42.6.0")
}
🎯 Grundlegende Verwendung
Tabellendefinition
import org.jetbrains.exposed.sql.*
import org.jetbrains.exposed.sql.transactions.transaction
object Users : Table() {
val id = integer("id").autoIncrement()
val name = varchar("name", 50)
val email = varchar("email", 100)
override val primaryKey = PrimaryKey(id)
}
fun main() {
// 데이터베이스 연결
Database.connect(
url = "jdbc:h2:mem:test;DB_CLOSE_DELAY=-1",
driver = "org.h2.Driver"
)
transaction {
// 로깅 활성화
addLogger(StdOutSqlLogger)
// 테이블 생성
SchemaUtils.create(Users)
// 데이터 삽입
Users.insert {
it[name] = "홍길동"
it[email] = "hong@example.com"
}
// 조회
Users.selectAll().forEach {
println("${it[Users.name]}: ${it[Users.email]}")
}
}
}
🎨 CRUD-Operationen
Create (Erstellen)
transaction {
// 단건 삽입
Users.insert {
it[name] = "김철수"
it[email] = "kim@example.com"
}
// ID 받기
val userId = Users.insert {
it[name] = "이영희"
it[email] = "lee@example.com"
} get Users.id
println("생성된 ID: $userId")
}
Read (Lesen)
transaction {
// 전체 조회
val allUsers = Users.selectAll()
allUsers.forEach { row ->
println("${row[Users.id]}: ${row[Users.name]}")
}
// 조건 조회
val user = Users.select { Users.email eq "hong@example.com" }
.singleOrNull()
if (user != null) {
println("찾음: ${user[Users.name]}")
}
// 여러 조건
Users.select {
(Users.name like "김%") and (Users.email like "%example.com")
}.forEach {
println(it[Users.name])
}
}
Update (Aktualisieren)
transaction {
// 조건에 맞는 행 수정
Users.update({ Users.email eq "hong@example.com" }) {
it[name] = "홍길동(수정)"
}
// 전체 수정
Users.update {
it[email] = concat(email, stringLiteral("_old"))
}
}
Delete (Löschen)
transaction {
// 조건 삭제
Users.deleteWhere { Users.id eq 1 }
// 여러 조건
Users.deleteWhere {
(Users.name like "test%") or (Users.email eq "temp@example.com")
}
}
🔧 Praktisches Beispiel
Benutzerverwaltungssystem
object Users : Table() {
val id = integer("id").autoIncrement()
val name = varchar("name", 50)
val email = varchar("email", 100).uniqueIndex()
val age = integer("age")
val createdAt = long("created_at")
override val primaryKey = PrimaryKey(id)
}
class UserService {
fun createUser(name: String, email: String, age: Int): Int {
return transaction {
Users.insert {
it[Users.name] = name
it[Users.email] = email
it[Users.age] = age
it[createdAt] = System.currentTimeMillis()
} get Users.id
}
}
fun findById(id: Int): UserData? {
return transaction {
Users.select { Users.id eq id }
.singleOrNull()
?.let {
UserData(
id = it[Users.id],
name = it[Users.name],
email = it[Users.email],
age = it[Users.age]
)
}
}
}
fun findAll(): List<UserData> {
return transaction {
Users.selectAll().map {
UserData(
id = it[Users.id],
name = it[Users.name],
email = it[Users.email],
age = it[Users.age]
)
}
}
}
fun updateUser(id: Int, name: String?, email: String?, age: Int?): Boolean {
return transaction {
val updated = Users.update({ Users.id eq id }) {
name?.let { value -> it[Users.name] = value }
email?.let { value -> it[Users.email] = value }
age?.let { value -> it[Users.age] = value }
}
updated > 0
}
}
fun deleteUser(id: Int): Boolean {
return transaction {
Users.deleteWhere { Users.id eq id } > 0
}
}
}
data class UserData(
val id: Int,
val name: String,
val email: String,
val age: Int
)
🎯 Relationale Daten
1:N-Beziehung
object Posts : Table() {
val id = integer("id").autoIncrement()
val userId = integer("user_id").references(Users.id)
val title = varchar("title", 200)
val content = text("content")
override val primaryKey = PrimaryKey(id)
}
fun getUserWithPosts(userId: Int): UserWithPosts? {
return transaction {
val user = Users.select { Users.id eq userId }
.singleOrNull() ?: return@transaction null
val posts = Posts.select { Posts.userId eq userId }
.map {
PostData(
id = it[Posts.id],
title = it[Posts.title],
content = it[Posts.content]
)
}
UserWithPosts(
id = user[Users.id],
name = user[Users.name],
posts = posts
)
}
}
data class PostData(val id: Int, val title: String, val content: String)
data class UserWithPosts(val id: Int, val name: String, val posts: List<PostData>)
JOIN-Abfragen
fun getPostsWithAuthors(): List<PostWithAuthor> {
return transaction {
(Posts innerJoin Users)
.selectAll()
.map {
PostWithAuthor(
postId = it[Posts.id],
title = it[Posts.title],
authorName = it[Users.name]
)
}
}
}
data class PostWithAuthor(
val postId: Int,
val title: String,
val authorName: String
)
🔥 Erweiterte Funktionen
Transaktionen
fun transferMoney(fromId: Int, toId: Int, amount: Int) {
transaction {
// 출금
Accounts.update({ Accounts.id eq fromId }) {
it[balance] = balance - amount
}
// 입금
Accounts.update({ Accounts.id eq toId }) {
it[balance] = balance + amount
}
// 예외 발생 시 자동 롤백
}
}
Batch-Einfügung
fun createMultipleUsers(users: List<NewUser>) {
transaction {
Users.batchInsert(users) { user ->
this[Users.name] = user.name
this[Users.email] = user.email
this[Users.age] = user.age
}
}
}
data class NewUser(val name: String, val email: String, val age: Int)
Paginierung
fun getUsersPage(page: Int, size: Int): List<UserData> {
return transaction {
Users.selectAll()
.limit(size, offset = ((page - 1) * size).toLong())
.orderBy(Users.id)
.map {
UserData(
id = it[Users.id],
name = it[Users.name],
email = it[Users.email],
age = it[Users.age]
)
}
}
}
🛠️ Ktor-Integration
Datenbankinitialisierung
fun Application.configureDatabases() {
Database.connect(
url = "jdbc:h2:mem:test;DB_CLOSE_DELAY=-1",
driver = "org.h2.Driver"
)
transaction {
SchemaUtils.create(Users, Posts)
}
}
fun Application.module() {
configureDatabases()
val userService = UserService()
install(ContentNegotiation) {
json()
}
routing {
route("/users") {
get {
val users = userService.findAll()
call.respond(users)
}
get("/{id}") {
val id = call.parameters["id"]?.toIntOrNull()
val user = id?.let { userService.findById(it) }
if (user != null) {
call.respond(user)
} else {
call.respond(HttpStatusCode.NotFound)
}
}
post {
val request = call.receive<CreateUserRequest>()
val userId = userService.createUser(
request.name,
request.email,
request.age
)
call.respond(HttpStatusCode.Created, mapOf("id" to userId))
}
}
}
}
🤔 Häufig gestellte Fragen
F1. H2 vs PostgreSQL?
A: H2 für Entwicklung, PostgreSQL für Produktion!
// H2 (개발 - 메모리)
Database.connect(
url = "jdbc:h2:mem:test;DB_CLOSE_DELAY=-1",
driver = "org.h2.Driver"
)
// PostgreSQL (프로덕션)
Database.connect(
url = "jdbc:postgresql://localhost:5432/mydb",
driver = "org.postgresql.Driver",
user = "user",
password = "password"
)
F2. Was ist mit Migration?
A: Verwendung von Flyway oder Liquibase wird empfohlen!
// Flyway
dependencies {
implementation("org.flywaydb:flyway-core:9.22.0")
}
val flyway = Flyway.configure()
.dataSource(url, user, password)
.load()
flyway.migrate()
F3. Leistungsoptimierung?
A: Verwenden Sie Connection Pools!
dependencies {
implementation("com.zaxxer:HikariCP:5.0.1")
}
val config = HikariConfig().apply {
jdbcUrl = "jdbc:postgresql://localhost:5432/mydb"
username = "user"
password = "password"
maximumPoolSize = 10
}
val dataSource = HikariDataSource(config)
Database.connect(dataSource)
🎬 Abschließend
Sichere Datenbankoperationen mit Exposed!
Wichtigste Punkte:
✅ Typsichere SQL-DSL
✅ Einfache CRUD-Operationen
✅ Transaktionsunterstützung
✅ JOIN und relationale Daten
✅ Einfache Ktor-Integration
Nächster Schritt: Erfahren Sie unter Deployment, wie Sie Ihren Server in einer Produktionsumgebung bereitstellen!