A Configurable Buffered I/O Library for Efficient Batch Processing
BufIO is a generic, configurable, and storage-agnostic buffered input/output library designed to improve the performance of systems that process high-frequency background jobs. Inspired by the widely used write-behind caching strategy in operating systems, file systems, databases, and distributed caches, BufIO optimizes throughput by buffering records and processing them in batches at configurable intervals.
BufIO decouples record ingestion from processing, allowing you to push records quickly without immediately writing to a database or external service. This design reduces resource consumption, lowers connection churn, and increases system scalability.
- Push-based API for fast record ingestion.
- Configurable batch size and flush interval.
- Pluggable storage system (in-memory, database, file, etc.).
- Pluggable worker processor (e.g., DB insert, API call).
- Extensible: supports backpressure, priority queues, and retries (future roadmap).
- Built on proven write-behind caching principles.
- Background job batching
- Database write optimization
- Buffered API calls
- Log processing
- Metrics aggregation
yarn add @risemaxi/bufioimport { BufIO, MemoryStorage } from '@risemaxi/bufio';
const memory = new MemoryStorage<RecordType>();
const worker = {
async work(records: RecordType[]) {
await db.batchInsert(records); // Example batch write
return records;
}
};
const bufio = new BufIO({
storage: memory,
worker,
batchSize: 50,
flushInterval: 3000
});
bufio.start();
// Push records (e.g., in a job consumer)
queueConsumer.on('job', (job) => {
bufio.push(job.payload);
});| Option | Description | Default |
|---|---|---|
batchSize |
Number of records to flush per batch | 100 |
flushInterval |
Interval (ms) to flush buffered records | 5000 ms |
Job Producer
|
v
bufio.push(record)
|
v
User-provided Storage <--- flush() ---> Worker.process(records)
BufIO acts as a write-behind buffer, periodically flushing stored records in configurable batches.
BufIO addresses a common bottleneck in high-throughput systems: frequent individual writes to databases or services. By buffering records and processing them in batches, BufIO improves system efficiency and scalability while remaining decoupled and easy to integrate into any architecture.
Contributions are welcome! Please open issues, suggest features, or submit pull requests as we continue to develop BufIO into a stable, open-source library.
MIT License