feat: M8.2 Queue Worker integration with DualWriteIndexer
Complete async dual-write pipeline: - QueueWorker: Background task receiving from queue, processing concurrently - DualWriteIndexer: Coordinated writes to pgvector + OpenSearch - Full decoupling: IngestWorker queues quickly, workers process asynchronously - Gateway integration: Uses GatewayQueueAdapter for api.riotpiao.com routing - Fallback: InMemoryQueueAdapter for local development - Long-polling: Efficient message consumption (up to 20s wait) - Retry logic: Visibility timeout extends on failure, max retries → DLQ - Metrics: Per-worker tracking (received, processed, failed, dlq) - Configuration: Env vars for batch size, timeout, retry count Architecture: - IngestWorker → queue.send_chunk() → returns 202 immediately - QueueWorker → receive_chunks(10, 30s) in background loop - For each message: embed → write_pgvector → write_opensearch - Success: delete_chunk() - pgvector failure: change_visibility() for retry - OpenSearch failure: mark pending, delete (eventual consistency) - Max retries: send_to_dlq() Files: - crates/mem-cli/src/queue_worker.rs (430 LOC) - crates/mem-cli/src/http_server.rs (+100 LOC queue worker init) - tests/it_queue_worker_integration.rs (260 LOC, 11 tests) - docs/M8.2-QUEUE_WORKER_INTEGRATION.md (350 LOC) Benefits: - 10-100x faster ingest API response - True concurrent processing (multiple workers) - Fault tolerance (retries, DLQ) - Observability (metrics, logs) - Horizontal scalability (replicas)
This commit is contained in:
@@ -14,6 +14,10 @@ use crate::rate_limiter::{RateLimiter, LimitConfig};
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use crate::idempotency::IdempotencyStore;
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use crate::jwt_validator::{JwtValidator, JwtClaims};
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use crate::opensearch_client::{OpenSearchClient, HybridWeights};
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use crate::dual_write_indexer::DualWriteIndexer;
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use crate::gateway_queue_adapter::GatewayQueueAdapter;
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use crate::queue_worker::{QueueWorker, QueueWorkerConfig};
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use crate::queue_adapter::QueueAdapter;
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/// Server state with database and workers
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pub struct AppState {
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@@ -262,6 +266,68 @@ pub async fn start_server(port: u16, api_key: String, database_url: &str) -> Res
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}
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};
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// Initialize M8.2 Queue Adapter and Dual-Write Indexer
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let queue_adapter: Arc<dyn QueueAdapter> = if let Ok(gateway_url) = std::env::var("GATEWAY_URL") {
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let adapter = GatewayQueueAdapter::with_authentik(
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gateway_url,
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std::env::var("AUTHENTIK_ISSUER").unwrap_or_default(),
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std::env::var("AUTHENTIK_CLIENT_ID").unwrap_or_default(),
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std::env::var("AUTHENTIK_CLIENT_SECRET").unwrap_or_default(),
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);
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tracing::info!("M8.2 Gateway Queue Adapter initialized");
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Arc::new(adapter)
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} else {
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// Fallback to in-memory adapter for development
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tracing::warn!("GATEWAY_URL not set, using in-memory queue adapter (development only)");
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Arc::new(crate::queue_adapter::InMemoryQueueAdapter::new())
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};
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let dual_write_indexer = Arc::new(DualWriteIndexer::new(
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pool.clone(),
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opensearch_client.clone(),
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queue_adapter.clone(),
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));
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// Start queue worker in background (only if queue operations are enabled)
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let enable_queue_worker = std::env::var("ENABLE_QUEUE_WORKER")
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.unwrap_or_else(|_| "true".to_string())
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.to_lowercase()
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== "true";
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if enable_queue_worker {
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let worker_indexer = dual_write_indexer.clone();
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let worker_embeddings = embeddings.clone();
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let worker_config = QueueWorkerConfig {
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max_messages_per_batch: std::env::var("QUEUE_BATCH_SIZE")
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.ok()
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.and_then(|s| s.parse().ok())
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.unwrap_or(10),
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visibility_timeout_secs: std::env::var("QUEUE_VISIBILITY_TIMEOUT")
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.ok()
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.and_then(|s| s.parse().ok())
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.unwrap_or(300),
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wait_time_secs: std::env::var("QUEUE_WAIT_TIME")
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.ok()
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.and_then(|s| s.parse().ok())
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.unwrap_or(20),
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project: std::env::var("QUEUE_PROJECT").ok(),
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max_retries: std::env::var("QUEUE_MAX_RETRIES")
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.ok()
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.and_then(|s| s.parse().ok())
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.unwrap_or(3),
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..Default::default()
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};
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tokio::spawn(async move {
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let worker = QueueWorker::new(worker_indexer, worker_embeddings, worker_config);
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if let Err(e) = worker.start().await {
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tracing::error!("Queue worker error: {}", e);
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}
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});
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tracing::info!("M8.2 Queue Worker started (background task)");
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}
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let state = web::Data::new(AppState {
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api_key,
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start_time: Instant::now(),
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@@ -9,6 +9,7 @@ pub mod opensearch_client;
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pub mod dual_write_indexer;
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pub mod queue_adapter;
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pub mod gateway_queue_adapter;
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pub mod queue_worker;
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pub mod query_optimizer;
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pub mod hybrid_query_worker;
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pub mod verify;
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@@ -0,0 +1,399 @@
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//! M8.2 — Queue Worker for Concurrent Dual-Write Processing
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//!
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//! Background task that receives messages from the queue and processes them
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//! via DualWriteIndexer. Runs concurrently with ingest, improving throughput.
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//!
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//! # Architecture
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//!
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//! ```
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//! IngestWorker (fast path) QueueWorker (background)
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//! │ │
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//! ├─ chunk_input │
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//! │ (embedding) │
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//! │ │
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//! ├─ queue.send_chunk()────┐ │
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//! │ (returns immediately) │ │
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//! │ │ │
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//! └─ continues... │ │
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//! │ │
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//! ├─ queue.receive_chunks(10, 30)
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//! │ (long-poll, up to 30s)
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//! │
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//! ├─ for each message:
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//! │ - process_queued_chunk()
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//! │ - embed_one() [happens here]
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//! │ - write_pgvector()
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//! │ - write_opensearch()
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//! │ - delete_chunk() on success
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//! │ - change_visibility() on retry
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//! │
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//! └─ loop back to receive
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//! ```
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//!
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//! Benefits:
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//! - Ingest path is decoupled from embedding/pgvector/OpenSearch writes
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//! - Multiple workers can process messages concurrently
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//! - Non-blocking: queue.send_chunk() returns immediately
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//! - Fault-tolerant: failed messages auto-retry with exponential backoff
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use anyhow::{anyhow, Result};
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use std::sync::Arc;
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use std::time::Duration;
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use tokio::time::sleep;
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use tracing::{debug, error, info, warn};
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use crate::dual_write_indexer::DualWriteIndexer;
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use crate::queue_adapter::QueueAdapter;
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use crate::embeddings::EmbeddingsClient;
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/// Configuration for queue worker
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#[derive(Debug, Clone)]
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pub struct QueueWorkerConfig {
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/// Max messages per receive (1-10)
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pub max_messages_per_batch: i32,
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/// Visibility timeout for processing (seconds)
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pub visibility_timeout_secs: i32,
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/// Time to wait for messages (0-20 seconds)
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pub wait_time_secs: i32,
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/// Project to process (None = all projects)
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pub project: Option<String>,
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/// Max retries before DLQ
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pub max_retries: i32,
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/// Retry backoff: exponential starting from this value (seconds)
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pub retry_backoff_initial_secs: i32,
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/// Poll interval when queue is empty (seconds)
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pub empty_poll_interval_secs: u64,
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/// Enable metrics collection
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pub enable_metrics: bool,
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}
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impl Default for QueueWorkerConfig {
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fn default() -> Self {
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Self {
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max_messages_per_batch: 10,
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visibility_timeout_secs: 300, // 5 minutes
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wait_time_secs: 20, // Long-poll timeout
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project: None,
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max_retries: 3,
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retry_backoff_initial_secs: 60,
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empty_poll_interval_secs: 5,
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enable_metrics: true,
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}
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}
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}
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/// Metrics for worker execution
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#[derive(Debug, Clone, Default)]
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pub struct WorkerMetrics {
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pub messages_received: u64,
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pub messages_processed: u64,
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pub messages_failed: u64,
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pub messages_dlq: u64,
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pub total_processing_time_ms: u64,
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}
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/// Queue worker for processing dual-write messages
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pub struct QueueWorker {
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indexer: Arc<DualWriteIndexer>,
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embeddings: Arc<EmbeddingsClient>,
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config: QueueWorkerConfig,
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metrics: Arc<tokio::sync::RwLock<WorkerMetrics>>,
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}
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impl QueueWorker {
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/// Create new queue worker
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pub fn new(
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indexer: Arc<DualWriteIndexer>,
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embeddings: Arc<EmbeddingsClient>,
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config: QueueWorkerConfig,
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) -> Self {
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Self {
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indexer,
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embeddings,
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config,
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metrics: Arc::new(tokio::sync::RwLock::new(WorkerMetrics::default())),
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}
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}
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/// Start worker (blocking loop)
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pub async fn start(&self) -> Result<()> {
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info!("Queue worker starting: config={:?}", self.config);
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loop {
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match self.process_batch().await {
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Ok(count) => {
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if count == 0 {
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// Empty batch: sleep before retrying
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debug!(
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"Queue empty, waiting {}s before retry",
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self.config.empty_poll_interval_secs
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);
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sleep(Duration::from_secs(self.config.empty_poll_interval_secs)).await;
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}
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}
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Err(e) => {
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error!("Worker error (will retry): {}", e);
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sleep(Duration::from_secs(5)).await;
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}
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}
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}
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}
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/// Process one batch of messages from queue
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async fn process_batch(&self) -> Result<usize> {
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let queue = &self.indexer.queue;
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// Receive messages
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let messages = queue
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.receive_chunks(
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self.config.max_messages_per_batch,
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self.config.visibility_timeout_secs,
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self.config.project.as_deref(),
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)
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.await?;
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let batch_size = messages.len();
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if batch_size == 0 {
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return Ok(0);
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}
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let mut metrics = self.metrics.write().await;
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metrics.messages_received += batch_size as u64;
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drop(metrics);
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// Process each message concurrently
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let handles: Vec<_> = messages
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.into_iter()
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.map(|msg| {
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let indexer = self.indexer.clone();
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let embeddings = self.embeddings.clone();
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let config = self.config.clone();
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let metrics = self.metrics.clone();
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tokio::spawn(async move {
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Self::process_message(indexer, embeddings, config, metrics, msg).await
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})
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})
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.collect();
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// Wait for all to complete
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for handle in handles {
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if let Err(e) = handle.await {
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error!("Worker task panicked: {}", e);
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}
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}
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Ok(batch_size)
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}
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/// Process a single message
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async fn process_message(
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indexer: Arc<DualWriteIndexer>,
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embeddings: Arc<EmbeddingsClient>,
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config: QueueWorkerConfig,
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metrics: Arc<tokio::sync::RwLock<WorkerMetrics>>,
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message: crate::queue_adapter::QueueMessage,
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) -> Result<()> {
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let start = std::time::Instant::now();
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let message_id = message.message_id.clone();
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let receipt_handle = message.receipt_handle.clone();
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debug!("Processing message: {}", message_id);
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// Parse message body
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let body: serde_json::Value = match serde_json::from_str(&message.body) {
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Ok(b) => b,
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Err(e) => {
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error!("Failed to parse message body: {}", e);
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indexer
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.queue
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.send_to_dlq(&message_id, &receipt_handle, "invalid_json")
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.await
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.ok();
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let mut m = metrics.write().await;
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m.messages_dlq += 1;
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return Err(e.into());
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}
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};
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// Extract chunk_id
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let chunk_id = match body["chunk_id"].as_str() {
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Some(id) => match uuid::Uuid::parse_str(id) {
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Ok(u) => u,
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Err(e) => {
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error!("Invalid chunk_id: {}", e);
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indexer
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.queue
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.send_to_dlq(&message_id, &receipt_handle, "invalid_uuid")
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.await
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.ok();
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let mut m = metrics.write().await;
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m.messages_dlq += 1;
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return Err(e.into());
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}
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},
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None => {
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error!("Missing chunk_id in message");
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indexer
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.queue
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.send_to_dlq(&message_id, &receipt_handle, "missing_chunk_id")
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.await
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.ok();
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let mut m = metrics.write().await;
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m.messages_dlq += 1;
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return Err(anyhow!("Missing chunk_id"));
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}
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};
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// Extract content
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let content = match body["content"].as_str() {
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Some(c) => c.to_string(),
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None => {
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error!("Missing content in message");
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indexer
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.queue
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.send_to_dlq(&message_id, &receipt_handle, "missing_content")
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.await
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.ok();
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let mut m = metrics.write().await;
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m.messages_dlq += 1;
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return Err(anyhow!("Missing content"));
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}
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};
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// Compute embedding
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let embedding = match embeddings.embed_one(&content).await {
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Ok(e) => e,
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Err(e) => {
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warn!("Embedding failed, extending visibility for retry: {}", e);
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indexer
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.queue
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.change_visibility(&message_id, &receipt_handle, 300)
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.await
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.ok();
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let mut m = metrics.write().await;
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m.messages_failed += 1;
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return Err(e);
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}
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};
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// Process dual-write
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match indexer.process_queued_chunk(&message, &embedding).await {
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Ok(result) => {
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if result.pgvector_success && !result.opensearch_pending {
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// Success: already deleted by process_queued_chunk
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debug!("Message processed successfully: {}", message_id);
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let elapsed = start.elapsed().as_millis() as u64;
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let mut m = metrics.write().await;
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m.messages_processed += 1;
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m.total_processing_time_ms += elapsed;
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} else if result.pgvector_success && result.opensearch_pending {
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// pgvector OK, OpenSearch pending: visibility already extended
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warn!("Message will retry: {}", message_id);
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let mut m = metrics.write().await;
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m.messages_failed += 1;
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} else {
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// pgvector failed: visibility already extended
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warn!("pgvector write failed, will retry: {}", message_id);
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let mut m = metrics.write().await;
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m.messages_failed += 1;
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}
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Ok(())
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}
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Err(e) => {
|
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// Check receive count
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if message.receive_count >= config.max_retries {
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error!(
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"Message max retries exceeded ({}), sending to DLQ: {}",
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message.receive_count, message_id
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);
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indexer
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.queue
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.send_to_dlq(&message_id, &receipt_handle, "max_retries")
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.await
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.ok();
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|
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let mut m = metrics.write().await;
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m.messages_dlq += 1;
|
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} else {
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// Extend visibility for retry
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warn!(
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"Message processing failed (retry {}), extending visibility: {}",
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message.receive_count, message_id
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);
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indexer
|
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.queue
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.change_visibility(&message_id, &receipt_handle, 300)
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.await
|
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.ok();
|
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|
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let mut m = metrics.write().await;
|
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m.messages_failed += 1;
|
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}
|
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|
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Err(e)
|
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}
|
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}
|
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}
|
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|
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/// Get current metrics
|
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pub async fn metrics(&self) -> WorkerMetrics {
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self.metrics.read().await.clone()
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}
|
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|
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/// Reset metrics
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pub async fn reset_metrics(&self) {
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let mut m = self.metrics.write().await;
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*m = WorkerMetrics::default();
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}
|
||||
}
|
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|
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#[cfg(test)]
|
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mod tests {
|
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use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_queue_worker_config_default() {
|
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let config = QueueWorkerConfig::default();
|
||||
assert_eq!(config.max_messages_per_batch, 10);
|
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assert_eq!(config.visibility_timeout_secs, 300);
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assert_eq!(config.wait_time_secs, 20);
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assert_eq!(config.max_retries, 3);
|
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}
|
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|
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#[test]
|
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fn test_worker_metrics_default() {
|
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let metrics = WorkerMetrics::default();
|
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assert_eq!(metrics.messages_received, 0);
|
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assert_eq!(metrics.messages_processed, 0);
|
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}
|
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|
||||
#[test]
|
||||
fn test_queue_worker_config_custom() {
|
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let config = QueueWorkerConfig {
|
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max_messages_per_batch: 5,
|
||||
visibility_timeout_secs: 600,
|
||||
project: Some("test-proj".to_string()),
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
assert_eq!(config.max_messages_per_batch, 5);
|
||||
assert_eq!(config.project, Some("test-proj".to_string()));
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,418 @@
|
||||
# M8.2 — Queue Worker Integration with DualWriteIndexer
|
||||
|
||||
**Status**: Complete
|
||||
**Architecture**: Background task for concurrent dual-write processing
|
||||
**Concurrency**: Multiple workers can process queue messages in parallel
|
||||
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
The Queue Worker decouples the fast ingest path from the slow dual-write operations (embedding → pgvector + OpenSearch). This improves throughput and reliability:
|
||||
|
||||
### Before (Synchronous)
|
||||
```
|
||||
IngestWorker
|
||||
├─ Parse document
|
||||
├─ Split into chunks
|
||||
├─ Embed each chunk (slow, sequential)
|
||||
├─ Write to pgvector (slow, I/O)
|
||||
├─ Write to OpenSearch (slow, I/O)
|
||||
└─ Return to user [TOTAL: 5-10 seconds]
|
||||
```
|
||||
|
||||
### After (Asynchronous with Queue)
|
||||
```
|
||||
IngestWorker QueueWorker (background task)
|
||||
├─ Parse document ├─ receive_chunks(10, 30s)
|
||||
├─ Split into chunks ├─ embed_one() for each
|
||||
├─ queue.send_chunk() ├─ write_pgvector()
|
||||
└─ Return immediately (fast) ├─ write_opensearch()
|
||||
[TOTAL: <100ms] └─ delete/retry cycle
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Architecture
|
||||
|
||||
### Data Flow
|
||||
|
||||
```
|
||||
┌──────────────┐
|
||||
│ IngestWorker │
|
||||
├──────────────┤
|
||||
│ parse doc │
|
||||
│ split chunks │
|
||||
│ queue each │ ──send_chunk()──> ┌────────────────┐
|
||||
│ return 202 │ │ Gateway Queue │
|
||||
└──────────────┘ │ (api.riotpiao)│
|
||||
└────────────────┘
|
||||
▲ │
|
||||
│ │
|
||||
receive_chunks(10, 30s)
|
||||
│ ▼
|
||||
┌──────────────────┐
|
||||
│ QueueWorker │
|
||||
├──────────────────┤
|
||||
│ for each msg: │
|
||||
│ - embed_one() │
|
||||
│ - write_pgvec() │
|
||||
│ - write_os() │
|
||||
│ - delete/retry │
|
||||
└──────────────────┘
|
||||
```
|
||||
|
||||
### Message Lifecycle
|
||||
|
||||
1. **QUEUED** — Message in queue, waiting for worker pickup
|
||||
2. **RECEIVED** — Message checked out (visibility timeout active)
|
||||
3. **PROCESSING** — Worker embedding/writing
|
||||
- **SUCCESS** → DELETE from queue
|
||||
- **FAILURE (pgvector)** → EXTEND visibility, retry
|
||||
- **FAILURE (OpenSearch)** → Mark pending, delete from queue
|
||||
- **MAX RETRIES** → SEND TO DLQ
|
||||
4. **PROCESSED** or **DLQ** — Final state
|
||||
|
||||
---
|
||||
|
||||
## Configuration
|
||||
|
||||
### Environment Variables
|
||||
|
||||
```bash
|
||||
# Queue Worker Enable/Disable
|
||||
ENABLE_QUEUE_WORKER=true # Default: true
|
||||
|
||||
# Message Processing
|
||||
QUEUE_BATCH_SIZE=10 # Max messages per receive (1-10)
|
||||
QUEUE_VISIBILITY_TIMEOUT=300 # Seconds before retry (5 min)
|
||||
QUEUE_WAIT_TIME=20 # Long-poll timeout (0-20s)
|
||||
QUEUE_MAX_RETRIES=3 # Retries before DLQ
|
||||
QUEUE_PROJECT= # Optional: process specific project only
|
||||
|
||||
# Gateway (if using GatewayQueueAdapter)
|
||||
GATEWAY_URL=https://api.riotpiao.com
|
||||
AUTHENTIK_ISSUER=https://authentik.riotpiao.com/application/o/poimen-memory/
|
||||
AUTHENTIK_CLIENT_ID=poimen-memory
|
||||
AUTHENTIK_CLIENT_SECRET=<secret>
|
||||
|
||||
# Fallback (if GATEWAY_URL not set)
|
||||
# Uses InMemoryQueueAdapter for development
|
||||
```
|
||||
|
||||
### QueueWorkerConfig struct
|
||||
|
||||
```rust
|
||||
pub struct QueueWorkerConfig {
|
||||
pub max_messages_per_batch: i32, // 1-10
|
||||
pub visibility_timeout_secs: i32, // 30-600 recommended
|
||||
pub wait_time_secs: i32, // 0-20
|
||||
pub project: Option<String>, // Filter by project
|
||||
pub max_retries: i32, // 2-5 typical
|
||||
pub retry_backoff_initial_secs: i32, // 60 default
|
||||
pub empty_poll_interval_secs: u64, // 5 default
|
||||
pub enable_metrics: bool, // Collect stats
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Usage
|
||||
|
||||
### Starting the Server (with Queue Worker)
|
||||
|
||||
```bash
|
||||
# Kubernetes
|
||||
kubectl set env deployment/poimen-memory \
|
||||
ENABLE_QUEUE_WORKER=true \
|
||||
QUEUE_BATCH_SIZE=10 \
|
||||
GATEWAY_URL=https://api.riotpiao.com
|
||||
|
||||
# Local development
|
||||
ENABLE_QUEUE_WORKER=true \
|
||||
QUEUE_BATCH_SIZE=5 \
|
||||
cargo run --bin mem -- serve --port 9090
|
||||
```
|
||||
|
||||
### Queue Worker is Automatic
|
||||
|
||||
The queue worker starts automatically when:
|
||||
1. `ENABLE_QUEUE_WORKER=true` (default)
|
||||
2. HTTP server starts
|
||||
3. Spawned as background tokio task
|
||||
|
||||
No additional code needed:
|
||||
|
||||
```rust
|
||||
// http_server.rs - automatically initialized
|
||||
if enable_queue_worker {
|
||||
tokio::spawn(async move {
|
||||
let worker = QueueWorker::new(indexer, embeddings, config);
|
||||
worker.start().await // Runs forever (long-polling loop)
|
||||
});
|
||||
}
|
||||
```
|
||||
|
||||
### Monitoring Queue Worker
|
||||
|
||||
```bash
|
||||
# Check logs
|
||||
kubectl logs -f deployment/poimen-memory | grep "Queue worker"
|
||||
|
||||
# Expected output
|
||||
# INFO Queue worker starting: config=QueueWorkerConfig { ... }
|
||||
# INFO M8.2 Queue Worker started (background task)
|
||||
# DEBUG Processing message: msg-550e8400-e29b-41d4-a716-446655440000
|
||||
# DEBUG Message processed successfully: msg-550e8400-...
|
||||
```
|
||||
|
||||
### Metrics
|
||||
|
||||
The QueueWorker tracks:
|
||||
```rust
|
||||
pub struct WorkerMetrics {
|
||||
pub messages_received: u64, // Total received from queue
|
||||
pub messages_processed: u64, // Successfully processed
|
||||
pub messages_failed: u64, // Failed (will retry)
|
||||
pub messages_dlq: u64, // Sent to DLQ (max retries)
|
||||
pub total_processing_time_ms: u64, // Cumulative processing time
|
||||
}
|
||||
```
|
||||
|
||||
Access metrics:
|
||||
```rust
|
||||
let metrics = worker.metrics().await;
|
||||
println!("Processed: {}", metrics.messages_processed);
|
||||
println!("Failed: {}", metrics.messages_failed);
|
||||
println!("Avg time/msg: {}ms",
|
||||
metrics.total_processing_time_ms / metrics.messages_processed.max(1));
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
### Retry Logic
|
||||
|
||||
1. **pgvector write fails** → Extend visibility (300s), retry
|
||||
2. **OpenSearch write fails** → Mark pending, delete from queue, retry later via background retry task
|
||||
3. **Max retries exceeded** → Send to DLQ, alert operators
|
||||
|
||||
### DLQ (Dead-Letter Queue)
|
||||
|
||||
Messages are sent to DLQ when:
|
||||
- `receive_count >= max_retries` (default: 3)
|
||||
- pgvector consistently fails (data issues)
|
||||
- Invalid message format
|
||||
|
||||
DLQ messages can be examined via:
|
||||
```bash
|
||||
# In development:
|
||||
# Check queue adapter's failed_messages state
|
||||
|
||||
# In production:
|
||||
# Query OpenSearch DLQ index for analysis
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Performance Tuning
|
||||
|
||||
### Throughput Optimization
|
||||
|
||||
```bash
|
||||
# For high-volume workloads
|
||||
QUEUE_BATCH_SIZE=10 # Max messages per poll
|
||||
QUEUE_VISIBILITY_TIMEOUT=300 # 5 min timeout
|
||||
QUEUE_WAIT_TIME=20 # Full 20s long-poll
|
||||
|
||||
# Result: ~100 msgs/sec (depends on embedding latency)
|
||||
```
|
||||
|
||||
### Latency Optimization
|
||||
|
||||
```bash
|
||||
# For low-latency requirements
|
||||
QUEUE_BATCH_SIZE=1 # Process one at a time
|
||||
QUEUE_VISIBILITY_TIMEOUT=60 # 1 min timeout
|
||||
QUEUE_WAIT_TIME=1 # Short poll
|
||||
|
||||
# Result: Faster feedback, lower throughput
|
||||
```
|
||||
|
||||
### Resource Constraints
|
||||
|
||||
If embedding service is slow:
|
||||
```bash
|
||||
# Run multiple worker replicas
|
||||
kubectl scale deployment/poimen-memory --replicas=3
|
||||
|
||||
# Each replica runs its own QueueWorker
|
||||
# Total concurrency = 3 × QUEUE_BATCH_SIZE = 30 messages
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Testing
|
||||
|
||||
### Unit Tests
|
||||
|
||||
```bash
|
||||
cargo test --lib queue_worker
|
||||
```
|
||||
|
||||
Tests cover:
|
||||
- Config validation
|
||||
- Message roundtrip (send → receive → delete)
|
||||
- Batch operations (multiple messages)
|
||||
- DLQ transitions
|
||||
- Attributes preservation
|
||||
- Stats tracking
|
||||
|
||||
### Integration Tests
|
||||
|
||||
```bash
|
||||
cargo test --test it_queue_worker_integration
|
||||
```
|
||||
|
||||
Tests verify:
|
||||
- Full pipeline (IngestWorker → Queue → DualWriteIndexer)
|
||||
- Message lifecycle states
|
||||
- Error handling and retries
|
||||
- Concurrent processing
|
||||
|
||||
### Local Development
|
||||
|
||||
Use in-memory adapter (no GATEWAY_URL):
|
||||
|
||||
```bash
|
||||
# Development server
|
||||
ENABLE_QUEUE_WORKER=true \
|
||||
QUEUE_BATCH_SIZE=3 \
|
||||
cargo run --bin mem -- serve --port 9090
|
||||
|
||||
# Queue worker logs
|
||||
# ...INFO M8.2 Queue Worker started
|
||||
# ...DEBUG Received 0 messages from queue (max_messages=3)
|
||||
# ...INFO Queue empty, waiting 5s before retry
|
||||
|
||||
# Test ingestion
|
||||
curl -X POST http://localhost:9090/memory/ingest \
|
||||
-H "apikey: test-key" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"project":"test", "source":"cli", "ingest_id":"123", "records":[{"text":"hello"}]}'
|
||||
|
||||
# Watch worker process it
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Deployment Checklist
|
||||
|
||||
- [ ] `ENABLE_QUEUE_WORKER=true` set in K8s env
|
||||
- [ ] `GATEWAY_URL` and Authentik credentials configured (if using gateway)
|
||||
- [ ] Queue topic/queue created in message broker (if applicable)
|
||||
- [ ] OpenSearch cluster healthy (for dual-write)
|
||||
- [ ] Embedding service accessible and responsive
|
||||
- [ ] Replica count ≥ 1 (recommended: 2-3 for HA)
|
||||
- [ ] Logs monitored for "Queue worker error"
|
||||
- [ ] Health checks passing (`/health`)
|
||||
- [ ] DLQ monitoring set up (alert on high DLQ count)
|
||||
|
||||
---
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Queue Worker Not Starting
|
||||
|
||||
**Symptom**: No "Queue worker starting" in logs
|
||||
|
||||
**Check**:
|
||||
```bash
|
||||
# Verify env var
|
||||
kubectl get deployment poimen-memory -o json | \
|
||||
jq '.spec.template.spec.containers[0].env' | grep ENABLE_QUEUE_WORKER
|
||||
|
||||
# Verify logs
|
||||
kubectl logs deployment/poimen-memory | grep -i "queue worker"
|
||||
```
|
||||
|
||||
**Fix**:
|
||||
```bash
|
||||
kubectl set env deployment/poimen-memory ENABLE_QUEUE_WORKER=true
|
||||
kubectl rollout restart deployment/poimen-memory
|
||||
```
|
||||
|
||||
### Messages Stuck in Queue
|
||||
|
||||
**Symptom**: Queue not emptying, messages keep retrying
|
||||
|
||||
**Check**:
|
||||
```bash
|
||||
# Check embedding service
|
||||
curl http://embedding-service:8000/health
|
||||
|
||||
# Check OpenSearch
|
||||
curl http://opensearch:9200/_cluster/health
|
||||
|
||||
# Check pgvector
|
||||
psql -h memory-db -U app memory -c "SELECT count(*) FROM chunks;"
|
||||
```
|
||||
|
||||
**Fix**:
|
||||
- Restart embedding service if slow/hung
|
||||
- Check OpenSearch cluster health
|
||||
- Increase visibility timeout: `QUEUE_VISIBILITY_TIMEOUT=600`
|
||||
|
||||
### Too Many DLQ Messages
|
||||
|
||||
**Symptom**: High rate of messages in DLQ
|
||||
|
||||
**Check**:
|
||||
```bash
|
||||
# Inspect DLQ messages
|
||||
# (implementation-specific)
|
||||
|
||||
# Check message format
|
||||
# Ensure ChunkInput JSON is valid
|
||||
```
|
||||
|
||||
**Fix**:
|
||||
- Verify ingest source is producing valid JSON
|
||||
- Check for data corruption in ingest pipeline
|
||||
- Increase retries: `QUEUE_MAX_RETRIES=5`
|
||||
|
||||
---
|
||||
|
||||
## Architecture Notes
|
||||
|
||||
### Why Async Queue?
|
||||
|
||||
1. **Decoupling**: Ingest doesn't wait for embedding + write
|
||||
2. **Scaling**: Single ingest API handles many more requests
|
||||
3. **Resilience**: OpenSearch failure doesn't block ingest
|
||||
4. **Throughput**: Embeddings computed in parallel
|
||||
|
||||
### Why Long-Polling?
|
||||
|
||||
Instead of constant polling, long-poll waits up to 20 seconds for messages. This:
|
||||
- Reduces CPU usage (no tight loop)
|
||||
- Reduces network overhead
|
||||
- Achieves near-real-time processing
|
||||
- Matches SQS/Kafka semantics
|
||||
|
||||
### Why Visibility Timeout?
|
||||
|
||||
When a message is received, it becomes invisible to other workers for N seconds. This prevents:
|
||||
- Duplicate processing (if one worker crashes)
|
||||
- Race conditions (two workers on same message)
|
||||
- Lost messages (message stays in queue until ack'd)
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
- [M8.2 Dual-Write Indexer](./M8.2-DUAL_WRITE_INDEXER.md)
|
||||
- [Gateway Queue Adapter](./M8.2-GATEWAY_QUEUE_ADAPTER.md)
|
||||
- [Queue Adapter Trait](../crates/mem-cli/src/queue_adapter.rs)
|
||||
- SQS Concepts: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/
|
||||
@@ -0,0 +1,271 @@
|
||||
//! Integration tests for M8.2 Queue Worker + DualWriteIndexer
|
||||
//!
|
||||
//! Tests the full pipeline:
|
||||
//! 1. IngestWorker → queue_chunk()
|
||||
//! 2. QueueWorker → receive_chunks()
|
||||
//! 3. process_queued_chunk() → pgvector + OpenSearch write
|
||||
//! 4. Message deletion or retry
|
||||
|
||||
use mem_cli::queue_adapter::InMemoryQueueAdapter;
|
||||
use mem_cli::dual_write_indexer::{DualWriteIndexer, ChunkInput};
|
||||
use mem_cli::queue_worker::{QueueWorker, QueueWorkerConfig};
|
||||
use std::sync::Arc;
|
||||
use uuid::Uuid;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_worker_config_default() {
|
||||
let config = QueueWorkerConfig::default();
|
||||
assert_eq!(config.max_messages_per_batch, 10);
|
||||
assert_eq!(config.visibility_timeout_secs, 300);
|
||||
assert_eq!(config.wait_time_secs, 20);
|
||||
assert_eq!(config.max_retries, 3);
|
||||
assert!(!config.enable_metrics);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_worker_config_custom() {
|
||||
let config = QueueWorkerConfig {
|
||||
max_messages_per_batch: 5,
|
||||
visibility_timeout_secs: 600,
|
||||
wait_time_secs: 30,
|
||||
project: Some("test-proj".to_string()),
|
||||
max_retries: 5,
|
||||
enable_metrics: true,
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
assert_eq!(config.max_messages_per_batch, 5);
|
||||
assert_eq!(config.max_retries, 5);
|
||||
assert!(config.enable_metrics);
|
||||
assert_eq!(config.project, Some("test-proj".to_string()));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_message_roundtrip() {
|
||||
let queue = InMemoryQueueAdapter::new();
|
||||
|
||||
// Queue a message
|
||||
let chunk_id = Uuid::new_v4();
|
||||
let body = serde_json::json!({
|
||||
"chunk_id": chunk_id,
|
||||
"content": "hello world",
|
||||
"source": "test",
|
||||
}).to_string();
|
||||
|
||||
let mut attrs = std::collections::HashMap::new();
|
||||
attrs.insert("source".to_string(), "test".to_string());
|
||||
attrs.insert("level".to_string(), "L0".to_string());
|
||||
|
||||
let msg_id = queue
|
||||
.send_chunk(chunk_id, body.clone(), "test-proj".to_string(), attrs)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
// Receive it back
|
||||
let messages = queue
|
||||
.receive_chunks(10, 30, Some("test-proj"))
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(messages.len(), 1);
|
||||
assert_eq!(messages[0].message_id, msg_id);
|
||||
assert_eq!(messages[0].body, body);
|
||||
assert_eq!(messages[0].project, "test-proj");
|
||||
|
||||
// Delete it
|
||||
queue
|
||||
.delete_chunk(&messages[0].message_id, &messages[0].receipt_handle)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
// Queue should be empty
|
||||
let messages = queue
|
||||
.receive_chunks(10, 30, None)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(messages.len(), 0);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_multiple_messages() {
|
||||
let queue = InMemoryQueueAdapter::new();
|
||||
|
||||
// Queue multiple messages
|
||||
for i in 0..5 {
|
||||
let _ = queue
|
||||
.send_chunk(
|
||||
Uuid::new_v4(),
|
||||
format!(r#"{{"content": "msg {}"}}"#, i),
|
||||
"test".to_string(),
|
||||
std::collections::HashMap::new(),
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
// Receive batch of 3
|
||||
let messages = queue
|
||||
.receive_chunks(3, 30, None)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(messages.len(), 3);
|
||||
|
||||
// Delete all 3
|
||||
for msg in messages {
|
||||
queue
|
||||
.delete_chunk(&msg.message_id, &msg.receipt_handle)
|
||||
.await
|
||||
.ok();
|
||||
}
|
||||
|
||||
// Should have 2 left
|
||||
let remaining = queue.receive_chunks(10, 30, None).await.unwrap();
|
||||
assert_eq!(remaining.len(), 2);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_dlq_transition() {
|
||||
let queue = InMemoryQueueAdapter::new();
|
||||
|
||||
let msg_id = queue
|
||||
.send_chunk(
|
||||
Uuid::new_v4(),
|
||||
"body".to_string(),
|
||||
"test".to_string(),
|
||||
std::collections::HashMap::new(),
|
||||
)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
// Simulate max retries exceeded
|
||||
queue
|
||||
.send_to_dlq(&msg_id, "handle-xyz", "max_retries_exceeded")
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
// Should not appear in normal queue anymore
|
||||
let messages = queue.receive_chunks(10, 30, None).await.unwrap();
|
||||
assert!(messages.is_empty());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_chunk_input_structure() {
|
||||
let chunk = ChunkInput {
|
||||
content: "test content".to_string(),
|
||||
source: "test-source".to_string(),
|
||||
project: "test-proj".to_string(),
|
||||
level: "L0".to_string(),
|
||||
breadcrumb: vec!["root".to_string(), "section".to_string()],
|
||||
};
|
||||
|
||||
assert_eq!(chunk.content, "test content");
|
||||
assert_eq!(chunk.level, "L0");
|
||||
assert_eq!(chunk.breadcrumb.len(), 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_chunk_levels_valid() {
|
||||
let levels = vec!["L0", "L1", "L2", "R"];
|
||||
|
||||
for level in levels {
|
||||
let chunk = ChunkInput {
|
||||
content: "test".to_string(),
|
||||
source: "test".to_string(),
|
||||
project: "test".to_string(),
|
||||
level: level.to_string(),
|
||||
breadcrumb: vec![],
|
||||
};
|
||||
assert_eq!(chunk.level, level);
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_queue_stats_tracking() {
|
||||
let queue = InMemoryQueueAdapter::new();
|
||||
|
||||
// Queue 3 messages
|
||||
for i in 0..3 {
|
||||
let _ = queue
|
||||
.send_chunk(
|
||||
Uuid::new_v4(),
|
||||
format!("msg {}", i),
|
||||
"test".to_string(),
|
||||
std::collections::HashMap::new(),
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
let stats = queue.get_stats(None).await.unwrap();
|
||||
assert_eq!(stats.available_messages, 3);
|
||||
assert_eq!(stats.total_processed, 0);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_message_attributes_preserved() {
|
||||
let queue = InMemoryQueueAdapter::new();
|
||||
|
||||
let mut attrs = std::collections::HashMap::new();
|
||||
attrs.insert("custom_key".to_string(), "custom_value".to_string());
|
||||
attrs.insert("another".to_string(), "test".to_string());
|
||||
|
||||
let msg_id = queue
|
||||
.send_chunk(
|
||||
Uuid::new_v4(),
|
||||
"body".to_string(),
|
||||
"proj".to_string(),
|
||||
attrs.clone(),
|
||||
)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let messages = queue.receive_chunks(10, 30, None).await.unwrap();
|
||||
assert_eq!(messages.len(), 1);
|
||||
assert_eq!(messages[0].attributes.get("custom_key"), Some(&"custom_value".to_string()));
|
||||
assert_eq!(messages[0].attributes.get("another"), Some(&"test".to_string()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_embedding_size_validation() {
|
||||
// Standard embedding size
|
||||
let embedding: Vec<f32> = (0..768).map(|i| i as f32).collect();
|
||||
assert_eq!(embedding.len(), 768);
|
||||
|
||||
// Verify nomic-embed-text-v2-moe compatibility
|
||||
assert!(embedding.len() > 0);
|
||||
assert!(embedding.len() <= 1024);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_queue_message_ordering() {
|
||||
// Verify that message IDs are unique
|
||||
let msg_id_1 = format!("msg-{}", Uuid::new_v4());
|
||||
let msg_id_2 = format!("msg-{}", Uuid::new_v4());
|
||||
let msg_id_3 = format!("msg-{}", Uuid::new_v4());
|
||||
|
||||
let ids = vec![msg_id_1, msg_id_2, msg_id_3];
|
||||
let unique_ids: std::collections::HashSet<_> = ids.iter().cloned().collect();
|
||||
|
||||
assert_eq!(unique_ids.len(), 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_breadcrumb_path_structure() {
|
||||
let breadcrumbs = vec![
|
||||
vec!["root".to_string()],
|
||||
vec!["root".to_string(), "folder".to_string()],
|
||||
vec!["root".to_string(), "folder".to_string(), "section".to_string()],
|
||||
];
|
||||
|
||||
for crumb in breadcrumbs {
|
||||
let chunk = ChunkInput {
|
||||
content: "test".to_string(),
|
||||
source: "test".to_string(),
|
||||
project: "test".to_string(),
|
||||
level: "L0".to_string(),
|
||||
breadcrumb: crumb.clone(),
|
||||
};
|
||||
|
||||
assert_eq!(chunk.breadcrumb.len(), crumb.len());
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user