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Foojay.io0 Hot0 comments13 min read
Aggregation Optimization in MongoDB: A Case Study From the Field (Part 1)
A MongoDB expert walks through a real-world design review where a team modeled their data in an RDBMS-like fashion, resulting in 11.8-second query times. The post details a video streaming service use case with profiles, devices, and mappings collections, explaining each stage of a 10-stage aggregation pipeline ($match, $lookup, $unwind, $group, $sort, $skip, $limit). The initial pipeline suffered from poor performance despite proper indexing. Through data model and pipeline redesign, query time was reduced from 11.8 seconds to 14 milliseconds — an 800x improvement. Part 1 focuses on understanding the initial pipeline design before optimizations are introduced in subsequent parts.
Source: https://foojay.io/today/aggregation-optimization-in-mongodb-a-case-study-from-the-field-part-1. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
