Communitygithub.com

Patrones de Exposed en Kotlin

Patrones integrales para acceso a bases de datos con JetBrains Exposed ORM, incluyendo consultas DSL, DAO, transacciones, pooling de conexiones HikariCP, migraciones Flyway y patrón repositorio. Útil al trabajar con Exposed ORM, ya sea con consultas DSL o DAO, transacciones, pooling o migraciones.

¿Qué es Patrones de Exposed en Kotlin?

Este conjunto de habilidades proporciona una guía completa y práctica para implementar el acceso a bases de datos en Kotlin utilizando JetBrains Exposed ORM. Está diseñado para desarrolladores que trabajan con Exposed, ya sea con su estilo de consultas DSL (similar a SQL) o el patrón DAO para gestión del ciclo de vida de entidades. Incluye configuraciones de pooling de conexiones con HikariCP para entornos de producción, migraciones de base de datos con Flyway para mantener el esquema sincronizado, y transacciones seguras con corrutinas mediante `newSuspendedTransaction`. Además, promueve el patrón repositorio para desacoplar la lógica de negocio de la capa de datos, facilitando las pruebas con bases de datos en memoria como H2. Cubre operaciones CRUD básicas, consultas avanzadas con joins y agregaciones, paginación, operaciones por lotes, manejo de columnas JSON, y niveles de aislamiento de transacciones, todo con ejemplos de código Kotlin listos para usar en plataformas como Claude Code, Cursor y Codex.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/kotlin-exposed-patterns

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

¿Qué hace Patrones de Exposed en Kotlin?

Patrones integrales para acceso a bases de datos con JetBrains Exposed ORM, incluyendo consultas DSL, DAO, transacciones y configuración lista para producción.

Cuándo Usar

  • Configurando acceso a bases de datos con Exposed
  • Escribiendo consultas SQL usando DSL o DAO de Exposed
  • Configurando pooling de conexiones con HikariCP
  • Creando migraciones de base de datos con Flyway
  • Implementando el patrón repositorio con Exposed
  • Manejando columnas JSON y consultas complejas

Cómo Funciona

Exposed ofrece dos estilos de consulta: DSL para expresiones similares a SQL directas y DAO para la gestión del ciclo de vida de entidades. HikariCP gestiona un pool de conexiones reutilizables configurado mediante HikariConfig. Flyway ejecuta scripts de migración SQL versionados al inicio para mantener el esquema sincronizado. Todas las operaciones de base de datos se ejecutan dentro de bloques newSuspendedTransaction para seguridad de corrutinas y atomicidad. El patrón repositorio envuelve las consultas de Exposed detrás de una interfaz, de modo que la lógica de negocio permanezca desacoplada de la capa de datos y las pruebas puedan usar una base de datos H2 en memoria.

Ejemplos

Consulta DSL

suspend fun findUserById(id: UUID): UserRow? =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where { UsersTable.id eq id }
            .map { it.toUser() }
            .singleOrNull()
    }

Uso de Entidad DAO

suspend fun createUser(request: CreateUserRequest): User =
    newSuspendedTransaction {
        UserEntity.new {
            name = request.name
            email = request.email
            role = request.role
        }.toModel()
    }

Configuración de HikariCP

val hikariConfig = HikariConfig().apply {
    driverClassName = config.driver
    jdbcUrl = config.url
    username = config.username
    password = config.password
    maximumPoolSize = config.maxPoolSize
    isAutoCommit = false
    transactionIsolation = "TRANSACTION_READ_COMMITTED"
    validate()
}

Configuración de Base de Datos

Pooling de Conexiones con HikariCP

// DatabaseFactory.kt
object DatabaseFactory {
    fun create(config: DatabaseConfig): Database {
        val hikariConfig = HikariConfig().apply {
            driverClassName = config.driver
            jdbcUrl = config.url
            username = config.username
            password = config.password
            maximumPoolSize = config.maxPoolSize
            isAutoCommit = false
            transactionIsolation = "TRANSACTION_READ_COMMITTED"
            validate()
        }

        return Database.connect(HikariDataSource(hikariConfig))
    }
}

data class DatabaseConfig(
    val url: String,
    val driver: String = "org.postgresql.Driver",
    val username: String = "",
    val password: String = "",
    val maxPoolSize: Int = 10,
)

Migraciones de Flyway

// FlywayMigration.kt
fun runMigrations(config: DatabaseConfig) {
    Flyway.configure()
        .dataSource(config.url, config.username, config.password)
        .locations("classpath:db/migration")
        .baselineOnMigrate(true)
        .load()
        .migrate()
}

// Inicio de la aplicación
fun Application.module() {
    val config = DatabaseConfig(
        url = environment.config.property("database.url").getString(),
        username = environment.config.property("database.username").getString(),
        password = environment.config.property("database.password").getString(),
    )
    runMigrations(config)
    val database = DatabaseFactory.create(config)
    // ...
}

Archivos de Migración

-- src/main/resources/db/migration/V1__create_users.sql
CREATE TABLE users (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    name VARCHAR(100) NOT NULL,
    email VARCHAR(255) NOT NULL UNIQUE,
    role VARCHAR(20) NOT NULL DEFAULT 'USER',
    metadata JSONB,
    created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);

CREATE INDEX idx_users_email ON users(email);
CREATE INDEX idx_users_role ON users(role);

Definiciones de Tablas

Tablas Estilo DSL

// tables/UsersTable.kt
object UsersTable : UUIDTable("users") {
    val name = varchar("name", 100)
    val email = varchar("email", 255).uniqueIndex()
    val role = enumerationByName<Role>("role", 20)
    val metadata = jsonb<UserMetadata>("metadata", Json.Default).nullable()
    val createdAt = timestampWithTimeZone("created_at").defaultExpression(CurrentTimestampWithTimeZone)
    val updatedAt = timestampWithTimeZone("updated_at").defaultExpression(CurrentTimestampWithTimeZone)
}

object OrdersTable : UUIDTable("orders") {
    val userId = uuid("user_id").references(UsersTable.id)
    val status = enumerationByName<OrderStatus>("status", 20)
    val totalAmount = long("total_amount")
    val currency = varchar("currency", 3)
    val createdAt = timestampWithTimeZone("created_at").defaultExpression(CurrentTimestampWithTimeZone)
}

object OrderItemsTable : UUIDTable("order_items") {
    val orderId = uuid("order_id").references(OrdersTable.id, onDelete = ReferenceOption.CASCADE)
    val productId = uuid("product_id")
    val quantity = integer("quantity")
    val unitPrice = long("unit_price")
}

Tablas Compuestas

object UserRolesTable : Table("user_roles") {
    val userId = uuid("user_id").references(UsersTable.id, onDelete = ReferenceOption.CASCADE)
    val roleId = uuid("role_id").references(RolesTable.id, onDelete = ReferenceOption.CASCADE)
    override val primaryKey = PrimaryKey(userId, roleId)
}

Consultas DSL

CRUD Básico

// Insertar
suspend fun insertUser(name: String, email: String, role: Role): UUID =
    newSuspendedTransaction {
        UsersTable.insertAndGetId {
            it[UsersTable.name] = name
            it[UsersTable.email] = email
            it[UsersTable.role] = role
        }.value
    }

// Seleccionar por ID
suspend fun findUserById(id: UUID): UserRow? =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where { UsersTable.id eq id }
            .map { it.toUser() }
            .singleOrNull()
    }

// Seleccionar con condiciones
suspend fun findActiveAdmins(): List<UserRow> =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where { (UsersTable.role eq Role.ADMIN) }
            .orderBy(UsersTable.name)
            .map { it.toUser() }
    }

// Actualizar
suspend fun updateUserEmail(id: UUID, newEmail: String): Boolean =
    newSuspendedTransaction {
        UsersTable.update({ UsersTable.id eq id }) {
            it[email] = newEmail
            it[updatedAt] = CurrentTimestampWithTimeZone
        } > 0
    }

// Eliminar
suspend fun deleteUser(id: UUID): Boolean =
    newSuspendedTransaction {
        UsersTable.deleteWhere { UsersTable.id eq id } > 0
    }

// Mapeo de filas
private fun ResultRow.toUser() = UserRow(
    id = this[UsersTable.id].value,
    name = this[UsersTable.name],
    email = this[UsersTable.email],
    role = this[UsersTable.role],
    metadata = this[UsersTable.metadata],
    createdAt = this[UsersTable.createdAt],
    updatedAt = this[UsersTable.updatedAt],
)

Consultas Avanzadas

// Consultas con join
suspend fun findOrdersWithUser(userId: UUID): List<OrderWithUser> =
    newSuspendedTransaction {
        (OrdersTable innerJoin UsersTable)
            .selectAll()
            .where { OrdersTable.userId eq userId }
            .orderBy(OrdersTable.createdAt, SortOrder.DESC)
            .map { row ->
                OrderWithUser(
                    orderId = row[OrdersTable.id].value,
                    status = row[OrdersTable.status],
                    totalAmount = row[OrdersTable.totalAmount],
                    userName = row[UsersTable.name],
                )
            }
    }

// Agregaciones
suspend fun countUsersByRole(): Map<Role, Long> =
    newSuspendedTransaction {
        UsersTable
            .select(UsersTable.role, UsersTable.id.count())
            .groupBy(UsersTable.role)
            .associate { row ->
                row[UsersTable.role] to row[UsersTable.id.count()]
            }
    }

// Subconsultas
suspend fun findUsersWithOrders(): List<UserRow> =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where {
                UsersTable.id inSubQuery
                    OrdersTable.select(OrdersTable.userId).withDistinct()
            }
            .map { it.toUser() }
    }

// LIKE y coincidencia de patrones — siempre escapar la entrada del usuario para evitar inyección de comodines
private fun escapeLikePattern(input: String): String =
    input.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")

suspend fun searchUsers(query: String): List<UserRow> =
    newSuspendedTransaction {
        val sanitized = escapeLikePattern(query.lowercase())
        UsersTable.selectAll()
            .where {
                (UsersTable.name.lowerCase() like "%${sanitized}%") or
                    (UsersTable.email.lowerCase() like "%${sanitized}%")
            }
            .map { it.toUser() }
    }

Paginación

data class Page<T>(
    val data: List<T>,
    val total: Long,
    val page: Int,
    val limit: Int,
) {
    val totalPages: Int get() = ((total + limit - 1) / limit).toInt()
    val hasNext: Boolean get() = page < totalPages
    val hasPrevious: Boolean get() = page > 1
}

suspend fun findUsersPaginated(page: Int, limit: Int): Page<UserRow> =
    newSuspendedTransaction {
        val total = UsersTable.selectAll().count()
        val data = UsersTable.selectAll()
            .orderBy(UsersTable.createdAt, SortOrder.DESC)
            .limit(limit)
            .offset(((page - 1) * limit).toLong())
            .map { it.toUser() }

        Page(data = data, total = total, page = page, limit = limit)
    }

Operaciones por Lote

// Inserción por lote
suspend fun insertUsers(users: List<CreateUserRequest>): List<UUID> =
    newSuspendedTransaction {
        UsersTable.batchInsert(users) { user ->
            this[UsersTable.name] = user.name
            this[UsersTable.email] = user.email
            this[UsersTable.role] = user.role
        }.map { it[UsersTable.id].value }
    }

// Upsert (insertar o actualizar en conflicto)
suspend fun upsertUser(id: UUID, name: String, email: String) {
    newSuspendedTransaction {
        UsersTable.upsert(UsersTable.email) {
            it[UsersTable.id] = EntityID(id, UsersTable)
            it[UsersTable.name] = name
            it[UsersTable.email] = email
            it[updatedAt] = CurrentTimestampWithTimeZone
        }
    }
}

Patrón DAO

Definiciones de Entidades

// entities/UserEntity.kt
class UserEntity(id: EntityID<UUID>) : UUIDEntity(id) {
    companion object : UUIDEntityClass<UserEntity>(UsersTable)

    var name by UsersTable.name
    var email by UsersTable.email
    var role by UsersTable.role
    var metadata by UsersTable.metadata
    var createdAt by UsersTable.createdAt
    var updatedAt by UsersTable.updatedAt

    val orders by OrderEntity referrersOn OrdersTable.userId

    fun toModel(): User = User(
        id = id.value,
        name = name,
        email = email,
        role = role,
        metadata = metadata,
        createdAt = createdAt,
        updatedAt = updatedAt,
    )
}

class OrderEntity(id: EntityID<UUID>) : UUIDEntity(id) {
    companion object : UUIDEntityClass<OrderEntity>(OrdersTable)

    var user by UserEntity referencedOn OrdersTable.userId
    var status by OrdersTable.status
    var totalAmount by OrdersTable.totalAmount
    var currency by OrdersTable.currency
    var createdAt by OrdersTable.createdAt

    val items by OrderItemEntity referrersOn OrderItemsTable.orderId
}

Operaciones DAO

suspend fun findUserByEmail(email: String): User? =
    newSuspendedTransaction {
        UserEntity.find { UsersTable.email eq email }
            .firstOrNull()
            ?.toModel()
    }

suspend fun createUser(request: CreateUserRequest): User =
    newSuspendedTransaction {
        UserEntity.new {
            name = request.name
            email = request.email
            role = request.role
        }.toModel()
    }

suspend fun updateUser(id: UUID, request: UpdateUserRequest): User? =
    newSuspendedTransaction {
        UserEntity.findById(id)?.apply {
            request.name?.let { name = it }
            request.email?.let { email = it }
            updatedAt = OffsetDateTime.now(ZoneOffset.UTC)
        }?.toModel()
    }

Transacciones

Soporte de Transacciones Suspendidas

// Bueno: Usar newSuspendedTransaction para soporte de corrutinas
suspend fun performDatabaseOperation(): Result<User> =
    runCatching {
        newSuspendedTransaction {
            val user = UserEntity.new {
                name = "Alice"
                email = "[email protected]"
            }
            // Todas las operaciones en este bloque son atómicas
            user.toModel()
        }
    }

// Bueno: Transacciones anidadas con puntos de guardado
suspend fun transferFunds(fromId: UUID, toId: UUID, amount: Long) {
    newSuspendedTransaction {
        val from = UserEntity.findById(fromId) ?: throw NotFoundException("Usuario $fromId no encontrado")
        val to = UserEntity.findById(toId) ?: throw NotFoundException("Usuario $toId no encontrado")

        // Débito
        from.balance -= amount
        // Crédito
        to.balance += amount

        // Ambas operaciones tienen éxito o ambas fallan
    }
}

Aislamiento de Transacciones

suspend fun readCommittedQuery(): List<User> =
    newSuspendedTransaction(transactionIsolation = Connection.TRANSACTION_READ_COMMITTED) {
        UserEntity.all().map { it.toModel() }
    }

suspend fun serializableOperation() {
    newSuspendedTransaction(transactionIsolation = Connection.TRANSACTION_SERIALIZABLE) {
        // Nivel de aislamiento más estricto para operaciones críticas
    }
}

Patrón Repositorio

Definición de Interfaz

interface UserRepository {
    suspend fun findById(id: UUID): User?
    suspend fun findByEmail(email: String): User?
    suspend fun findPaginated(page: Int, limit: Int): Page<User>
    suspend fun save(user: User): User
    suspend fun delete(id: UUID): Boolean
}

Implementación con DSL

class UserRepositoryImpl(
    private val db: Database,
) : UserRepository {
    override suspend fun findById(id: UUID): User? =
        newSuspendedTransaction(db) {
            UsersTable.selectAll()
                .where { UsersTable.id eq id }
                .map { it.toUser() }
                .singleOrNull()
        }

    override suspend fun findByEmail(email: String): User? =
        newSuspendedTransaction(db) {
            UsersTable.selectAll()
                .where { UsersTable.email eq email }
                .map { it.toUser() }
                .firstOrNull()
        }

    override suspend fun findPaginated(page: Int, limit: Int): Page<User> {
        val offset = ((page - 1) * limit).toLong()
        return newSuspendedTransaction(db) {
            val total = UsersTable.selectAll().count()
            val data = UsersTable.selectAll()
                .orderBy(UsersTable.createdAt, SortOrder.DESC)
                .limit(limit)
                .offset(offset)
                .map { it.toUser() }
            Page(data = data, total = total, page = page, limit = limit)
        }
    }

    override suspend fun save(user: User): User =
        newSuspendedTransaction(db) {
            val entity = if (user.id != null) {
                UserEntity.findById(user.id)?.apply {
                    name = user.name
                    email = user.email
                    role = user.role
                    updatedAt = OffsetDateTime.now(ZoneOffset.UTC)
                } ?: throw NotFoundException("Usuario con id ${user.id} no encontrado")
            } else {
                UserEntity.new {
                    name = user.name
                    email = user.email
                    role = user.role
                }
            }
            entity.toModel()
        }

    override suspend fun delete(id: UUID): Boolean =
        newSuspendedTransaction(db) {
            UsersTable.deleteWhere { UsersTable.id eq id } > 0
        }
}

Columnas JSON

Definición

// Soporte de columnas JSONB
object UsersTable : UUIDTable("users") {
    val metadata = jsonb<UserMetadata>("metadata", Json.Default).nullable()
}

Clases de Datos para JSON

@Serializable
data class UserMetadata(
    val department: String? = null,
    val location: String? = null,
    val preferences: Map<String, String> = emptyMap(),
    val tags: List<String> = emptyList(),
)

Consultas JSON

// Leer columna JSON
suspend fun getUserMetadata(userId: UUID): UserMetadata? =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where { UsersTable.id eq userId }
            .map { it[UsersTable.metadata] }
            .singleOrNull()
    }

// Actualizar columna JSON
suspend fun updateUserMetadata(userId: UUID, metadata: UserMetadata) {
    newSuspendedTransaction {
        UsersTable.update({ UsersTable.id eq userId }) {
            it[UsersTable.metadata] = metadata
            it[updatedAt] = CurrentTimestampWithTimeZone
        }
    }
}

// Filtrar por campo JSON (PostgreSQL jsonb operators)
suspend fun findUsersByDepartment(department: String): List<UserRow> =
    newSuspendedTransaction {
        UsersTable.selectAll()
            .where { UsersTable.metadata.jsonField<UserMetadata, String?>("department") eq department }
            .map { it.toUser() }
    }

Pruebas con H2 en Memoria

// DatabaseTest.kt
class UserRepositoryTest {
    private val db = Database.connect(
        url = "jdbc:h2:mem:test;DB_CLOSE_DELAY=-1",
        driver = "org.h2.Driver",
    )

    @BeforeEach
    fun setup() {
        transaction(db) {
            SchemaUtils.create(UsersTable)
        }
    }

    @AfterEach
    fun cleanup() {
        transaction(db) {
            SchemaUtils.drop(UsersTable)
        }
    }

    @Test
    fun `debería crear y encontrar usuario`() = runTest {
        val repository = UserRepositoryImpl(db)

        val created = repository.save(
            User(
                name = "Juan",
                email = "[email protected]",
                role = Role.USER,
            )
        )

        assertNotNull(created.id)
        assertEquals("[email protected]", created.email)

        val found = repository.findByEmail("[email protected]")
        assertNotNull(found)
        assertEquals(created.id, found.id)
    }
}

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

Skills relacionados