Description:*
Allow producers to batch multiple messages into a single network request, and brokers to batch messages for storage. Improves throughput, reduces latency, and lowers network overhead.
Why It's Essential:
- Throughput: Process more messages per second
- Latency: Reduce per-message overhead
- Network Efficiency: Fewer round trips
- Storage Efficiency: Batch writes to WAL and cloud storage
- Cost Reduction: Lower cloud API call costs
Implementation Requirements:
- Producer-side batching with configurable size/time thresholds
producer.send_batch([messages]) API- Automatic flush on batch size or time limit
- Configurable batch settings (max_messages, max_bytes, max_delay_ms)
- Atomic batch publishing
- Batch delivery to consumers
Use Cases:
- High-frequency sensor data ingestion
- Log aggregation pipelines
- Bulk data migration
- Analytics event streams
Description:*
Allow producers to batch multiple messages into a single network request, and brokers to batch messages for storage. Improves throughput, reduces latency, and lowers network overhead.
Why It's Essential:
Implementation Requirements:
producer.send_batch([messages])APIUse Cases: