120 lines
4.3 KiB
Markdown
120 lines
4.3 KiB
Markdown
# 19 - Database Transactions
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OxiCloud uses explicit transactions on PostgreSQL to guarantee data integrity. All transactional operations follow ACID properties:
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- **Atomicity** -- all-or-nothing. If any part fails, the entire transaction fails.
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- **Consistency** -- the database moves from one valid state to another.
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- **Isolation** -- concurrent transactions behave as if sequential.
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- **Durability** -- once committed, the transaction survives system failures.
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## Implementation
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The **with_transaction** helper wraps the standard pattern: begin, execute, commit on success, rollback on error.
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### Transaction Utility
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Located in `src/infrastructure/repositories/pg/transaction_utils.rs`:
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```rust
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/// Helper function to execute database operations in a transaction
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pub async fn with_transaction<F, T, E>(
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pool: &Arc<PgPool>,
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operation_name: &str,
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operation: F,
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) -> Result<T, E>
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where
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F: for<'c> FnOnce(&'c mut Transaction<'_, Postgres>) -> futures::future::BoxFuture<'c, Result<T, E>>,
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E: From<SqlxError> + std::fmt::Display
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{ ... }
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```
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This function takes a connection pool and a closure with operations, handles begin/commit/rollback automatically, and provides detailed logging of the transaction lifecycle.
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### Repository Usage Example
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```rust
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// Creación de un usuario con transacción explícita
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async fn create_user(&self, user: User) -> UserRepositoryResult<User> {
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with_transaction(
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&self.pool,
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"create_user",
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|tx| {
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Box::pin(async move {
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// Operación principal - insertar usuario
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sqlx::query("INSERT INTO auth.users ...")
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.bind(...)
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.execute(&mut **tx)
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.await?;
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// Operaciones adicionales dentro de la misma transacción
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// ...
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Ok(user_clone)
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})
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}
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).await
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}
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```
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## Use Cases
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### UserPgRepository
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1. **User creation** -- guarantees all insert operations are atomic. Allows related operations (like permission setup) to be bundled.
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2. **User update** -- ensures modifications apply fully or not at all. Supports combined operations like profile info and preference updates.
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### SessionPgRepository
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1. **Session creation** -- inserts the session and updates the user's last-access timestamp in a single transaction. Keeps sessions and user data consistent.
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2. **Session revocation** -- ensures revoking one or all sessions for a user is atomic. Allows logging security events within the same transaction.
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## Isolation Levels
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OxiCloud supports different transaction isolation levels via **with_transaction_isolation**:
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```rust
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// Ejemplo de uso con nivel de aislamiento específico
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with_transaction_isolation(
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&pool,
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"operacion_critica",
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sqlx::postgres::PgIsolationLevel::Serializable,
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|tx| { ... }
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).await
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```
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Available isolation levels:
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1. **Read Committed** (default) -- guarantees reads see only committed data. Does not prevent non-repeatable or phantom reads.
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2. **Repeatable Read** -- guarantees consistent reads throughout the transaction. Prevents non-repeatable reads but not phantom reads.
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3. **Serializable** -- highest isolation level. Transactions behave as if executed serially. Can cause serialization errors that require retry.
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## Best Practices
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1. **Transaction duration** -- keep transactions as short as possible. Avoid long-running operations inside them.
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2. **Error handling** -- errors inside a transaction trigger automatic rollback. Use proper logging to diagnose failures.
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3. **Transaction boundaries** -- define clearly where transactions begin and end. Group related operations into a single transaction.
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4. **Appropriate isolation** -- use the lowest isolation level that fits the use case. Consider serializable for critical operations with conflict potential.
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## Benefits
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- **Data integrity** -- ACID guarantees for complex operations, prevents inconsistent states.
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- **Error handling** -- automatic rollback on failure, predictable behavior.
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- **Safe concurrency** -- proper handling of simultaneous operations, prevents race conditions.
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- **Performance** -- fewer round-trips to the database, batch operations for better efficiency.
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## Performance Considerations
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Transactions add some overhead. Performance can be affected by:
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- Transaction duration
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- Isolation level
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- Number of affected records
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- Lock contention
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