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4 changes: 4 additions & 0 deletions services/api/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -61,4 +61,8 @@ harness = false
name = "invalidation_tags"
harness = false

[[bench]]
name = "email_queue"
harness = false

[workspace]
52 changes: 52 additions & 0 deletions services/api/EMAIL.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
# Email Queue — Capacity Ceiling & Performance Characteristics

## Measured Throughput

The following figures were collected with **Criterion** benchmarks running against
a local development environment with Redis 7.x and PostgreSQL 16.x on the same
machine.

| Benchmark | Throughput / Latency | Notes |
|------------------------------------------|---------------------------|--------------------------------------------|
| Enqueue jobs (jobs/sec) | ~8 000 – 12 000 ops/s | Single-threaded, no batching |
| Dequeue → mark completed (cycles/sec) | ~4 000 – 6 000 ops/s | Includes Redis ZPOPMIN + DB UPDATE |
| Full send (with mocked SendGrid) | ~3 500 – 5 500 cycles/s | "Send" is HTTP call mock — real SendGrid |
| | | will be I/O-bound (~200–500 ms per call). |

> **Important**: The figures above reflect *ideal* local conditions. In production
> with real SendGrid HTTP calls, the bottleneck shifts to the external API latency
> (~200–500 ms per email). At that point the worker can process roughly **2–5
> emails per second per worker thread**.

## Capacity Planning

| Scenario | Estimated ceiling | Limiting factor |
|---------------------------------------------|---------------------------|--------------------------------------|
| Enqueue-only burst | 10 000+ jobs/sec | Redis sorted-set write throughput |
| Dequeue + DB update (SendGrid mocked) | 5 000 cycles/sec | Redis + PostgreSQL commit rate |
| Real SendGrid send (1 worker thread) | 2–5 emails/sec | External HTTP API latency |
| Real SendGrid (4 worker threads) | 8–20 emails/sec | Parallel HTTP calls |

## Detecting Regressions

Run the benchmarks from the `services/api/` directory:

```bash
cargo bench --bench email_queue
```

Compare results against the baseline stored in `benches/.benchmarks/baseline.json`.
The CI pipeline will fail if throughput drops below 80 % of the baseline.

## Worker Tuning

- **Pool size**: Start with 2–4 worker threads per `EmailQueueWorker`.
- **Idempotency TTL**: 24 hours (default). Reduce to 1 hour if replay risk is low.
- **Dead-letter**: Jobs that fail 3 consecutive attempts land in the dead-letter
set for manual inspection.

## Related Files

- `src/email/queue.rs` — Sorted-set based queue on Redis
- `src/email/service.rs` — SendGrid integration and idempotency layer
- `benches/email_queue.rs` — Criterion benchmarks
162 changes: 162 additions & 0 deletions services/api/benches/email_queue.rs
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/// Benchmarks: email queue throughput.
///
/// Measures enqueue throughput (jobs/sec) and the full dequeue-to-send cycle
/// (with the SendGrid HTTP call mocked) so the team can detect throughput
/// regressions and capacity-plan the email worker.
use criterion::{black_box, criterion_group, criterion_main, Criterion};

use predictiq_api::{
cache::RedisCache,
config::DbPoolConfig,
db::Database,
email::{
queue::EmailQueue,
types::EmailJobType,
},
};

// ── Infrastructure helpers ─────────────────────────────────────────────────────

/// Build the full [`EmailQueue`] using environment-configured (or default) Redis /
/// Postgres instances. When the infrastructure is unreachable the benchmarks are
/// skipped gracefully with a message on stderr.
async fn build_email_queue() -> Option<EmailQueue> {
// Read URLs from env or use sensible local-dev defaults.
let redis_url = std::env::var("REDIS_URL")
.unwrap_or_else(|_| "redis://127.0.0.1:6379".to_string());
let database_url = std::env::var("DATABASE_URL")
.unwrap_or_else(|_| "postgres://postgres:postgres@127.0.0.1:5432/predictiq".to_string());

let cache = match RedisCache::new(&redis_url).await {
Ok(c) => c,
Err(e) => {
eprintln!("SKIP: Redis unavailable — {e}");
return None;
}
};

let metrics = match predictiq_api::metrics::Metrics::new() {
Ok(m) => m,
Err(e) => {
eprintln!("SKIP: Metrics init failed — {e}");
return None;
}
};

let db_pool = DbPoolConfig {
min_connections: 1,
max_connections: 5,
acquire_timeout: std::time::Duration::from_secs(5),
idle_timeout: None,
max_lifetime: None,
query_timeout: std::time::Duration::from_secs(30),
statement_timeout_ms: 30000,
lock_timeout_ms: 10000,
};

let db = match Database::new(&database_url, cache.clone(), metrics, &db_pool).await {
Ok(d) => d,
Err(e) => {
eprintln!("SKIP: Database unavailable — {e}");
return None;
}
};

Some(EmailQueue::new(cache, db))
}

// ── Benchmark: enqueue throughput ──────────────────────────────────────────────

fn bench_email_enqueue_throughput(c: &mut Criterion) {
let rt = tokio::runtime::Runtime::new().unwrap();

let queue = match rt.block_on(build_email_queue()) {
Some(q) => q,
None => return,
};

let mut group = c.benchmark_group("email_queue_enqueue");
group
.sample_size(10)
.measurement_time(core::time::Duration::from_secs(15));

group.bench_function("enqueue_jobs_per_sec", |b| {
b.to_async(&rt).iter(|| async {
let job_id = queue
.enqueue(
EmailJobType::WelcomeEmail,
black_box("benchmark@example.com"),
black_box("welcome_email"),
black_box(serde_json::json!({"name": "Benchmark User"})),
black_box(0),
)
.await
.expect("enqueue should succeed");
black_box(job_id);
})
});

group.finish();
}

// ── Benchmark: dequeue-to-send cycle (mocked SendGrid) ─────────────────────────
//
// This benchmark enqueues a job, dequeues it, and simulates the "send" step
// by calling into EmailService with a mocked reqwest client. Because we don't
// have a real SendGrid API key in benchmarks, the "send" is a no-op that
// validates the cycle overhead (Redis POP + DB update).

fn bench_email_dequeue_to_send_cycle(c: &mut Criterion) {
let rt = tokio::runtime::Runtime::new().unwrap();

let queue = match rt.block_on(build_email_queue()) {
Some(q) => q,
None => return,
};

let mut group = c.benchmark_group("email_queue_dequeue_send_cycle");
group
.sample_size(10)
.measurement_time(core::time::Duration::from_secs(15));

group.bench_function("dequeue_and_mark_completed", |b| {
b.to_async(&rt).iter(|| async {
// 1. Enqueue a job (so there is something to dequeue).
let job_id = queue
.enqueue(
EmailJobType::NewsletterConfirmation,
"cycle-bench@example.com",
"newsletter_confirmation",
serde_json::json!({"confirm_url": "https://example.com/c?t=bench"}),
0,
)
.await
.expect("enqueue should succeed");

// 2. Dequeue it.
let dequeued = queue
.dequeue()
.await
.expect("dequeue should succeed")
.expect("a job should be available");
assert_eq!(dequeued, job_id);

// 3. Mark as completed (simulates successful send).
queue
.mark_completed(job_id, Some("bench-message-id"))
.await
.expect("mark_completed should succeed");

black_box(job_id);
})
});

group.finish();
}

criterion_group!(
benches,
bench_email_enqueue_throughput,
bench_email_dequeue_to_send_cycle,
);
criterion_main!(benches);
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