🔗 Building a producer–consumer pipeline in Go using goroutines and channels

When working with large volumes of SVG files, processing them in parallel while writing their metadata into SQLite can be challenging.

SQLite provides strong transactional guarantees, but it allows only one writer at a time.

If multiple goroutines write concurrently, the database becomes a bottleneck, producing contention, slowdowns, or lock timeouts.

To address this constraint, I implemented a producer–consumer pattern in Go.

The design dedicates multiple CPU cores to heavy CPU-bound work—SVG processing—and isolates all database writes into a single, linearized consumer stage.

This ensures high throughput without overloading SQLite.