Streaming

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.

Streaming

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.

const client = new querydb.Client( auth: 'Bearer token', retry: true, timeout: 30000 );

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.