Developer Refactors Link View Tracking System to Fix N+1 and Duplicate Count Bugs

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A developer has refactored the view-tracking system in their open-source link tool, which previously cached link views in Redis and flushed them every 10 seconds using a manual loop. The old approach suffered from an N+1 problem, where each link ID triggered a separate database update, risking resource exhaustion under heavy traffic. It also caused duplicate view counts because cached data was never cleared after flushing, and wasted resources by running updates even when no data existed. The new system uses Redis's hGetAll to fetch all views at once, validates that data exists before proceeding, and batches all updates into a single bulkWrite database operation. Cached views are only deleted after the database acknowledges the write, ensuring no data is lost if the server crashes mid-process.

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