Common Query Patterns in MQL (Mongo Query Language)
summary
Practical guide to MQL aggregation that shows actual patterns and pipelines rather than theory: identifies three document shapes (flat/set/nest patterns), maps them to pipeline roles (gather → assemble → finish), and walks through concrete operators ($match, $group, $unwind, $project, $sort, $skip/$limit, $merge, $sample). Demonstrations include paging, grouping averages and maxima, unwinding arrays, and renaming fields. Performance advice is specific: prefer index‑assisted gathers, trim docs before $group to avoid the 100 MB memory limit (or force disk swap), and prefer incremental $merge for large analytics.
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chapters (9)
- 0:00Start
- 2:16Behavior Chain
- 2:50Pattern as Trigger
- 9:44Pipeline Sequence Archtype
- 15:38Frequently Used Stages
- 18:14Moderately Used Stages
- 41:08Kata 2 Pipeline Stages
- 48:00Kata 4 Pipeline Stages
- 55:11Where to Optimize?
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