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

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

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

The core queryhub object is a lightweight wrapper that manages the lifecycle of your event stream.

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Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

stream.pipe(map(e => e.data), buffer(100, 5000), flatMap(batch => fetch('/api/bulk',  body: JSON.stringify(batch) ))).catch(console.error);

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

See also

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