Achieving At Least An Order Of Magnitude Aggregation Performance Improvement By Scaling & Parallelism
Read OriginalThe article details an experiment to improve MongoDB aggregation performance by an order of magnitude. It revisits an old project, testing how splitting a full-collection-scan aggregation into parallel jobs across a sharded Atlas cluster reduces completion time. It covers the test setup, data, aggregation pipeline, and a custom Python tool for parallel execution.
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