[SERVER-83897] Collscan benchmarks - run tests on collections of small sizes Created: 05/Dec/23 Updated: 14/Dec/23 Resolved: 14/Dec/23 |
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| Status: | Closed |
| Project: | Core Server |
| Component/s: | None |
| Affects Version/s: | None |
| Fix Version/s: | 7.3.0-rc0 |
| Type: | Task | Priority: | Major - P3 |
| Reporter: | Anton Korshunov | Assignee: | Henri Nikku |
| Resolution: | Fixed | Votes: | 0 |
| Labels: | M3 | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
| Issue Links: |
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| Backwards Compatibility: | Fully Compatible | ||||||||||||||||
| Sprint: | QO 2023-12-25 | ||||||||||||||||
| Participants: | |||||||||||||||||
| Description |
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For tests over 1M document collection add versions of the queries for smaller collection sizes (100 and 10K documents).
We have wide $and and $or queries with many terms on a single level. In Genny: MatchOrWithManyChildClausesTemplate: runs $or with 50, 100, and 200 clauses, 1M documents. MatchAndWithManyChildClausesTemplate: runs $and with 50, 100, and 200 terms over the same array field, equalities, 1M documents. There are few queries with DNF and mixed predicates, up to 3 levels, 1M documents: MatchExpressionDeepPredicate MatchExpressionMixedPredicate Recently MatchWithLargeExpression added DNF queries with 2 levels and up to 50000 clauses, 10 documents.
There are several queries with $elemMatch: MatchElemMatchObject: $or with 4 terms, 1M documents MatchElemMatchObjectWide: $or with 28 terms, 1M documents |
| Comments |
| Comment by Githook User [ 13/Dec/23 ] |
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Author: {'name': 'Henri Nikku', 'email': 'henri.nikku@mongodb.com', 'username': 'henrinikku'}Message: |