tests/e2e: record the Phase 1 gate measurement
Reproduce with bash tests/e2e/compare-run.sh 1g 16k. Without a stored baseline the phase gates in the plan are not checkable and the projected numbers are not falsifiable.
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34
tests/e2e/results/phase1.txt
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34
tests/e2e/results/phase1.txt
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# Phase 1 gate — mongo-lite vs MongoDB 8.3.7, 1g dataset / ~16k docs
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# ratio < 1.0 = mongo-lite faster. Reproduce: bash tests/e2e/compare-run.sh 1g 16k
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# commit: 9eecb50
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benchmark mongo-lite mongodb ratio
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insertOne (sequential) x200 0.19 ms 5.1 ms 0.0x
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bulk insert throughput 755.6 MB/s 688.7 MB/s 1.1x
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docs loaded 65,536 65,536 1.0x
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createIndex({k: 1}) 60.2 ms 80.6 ms 0.7x
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countDocuments({}) 2.1 ms 13.8 ms 0.2x
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findOne({_id: <ObjectId>}) 0.53 ms 0.84 ms 0.6x
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findOne({k: 500}) (indexed) 0.55 ms 1.7 ms 0.3x
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find({p: {$gte,$lt}}).count() (scan) 20.5 ms 13.1 ms 1.6x
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find({}).sort({_id:-1}).limit(20) 6.7 ms 2.5 ms 2.7x
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find({}, {proj}).limit(1000) 3.5 ms 4.4 ms 0.8x
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aggregate $group by k 10.3 ms 12.9 ms 0.8x
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updateOne({_id}) x50 0.14 ms 0.19 ms 0.7x
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updateMany({k: 7}, {$inc}) 16.2 ms 6.5 ms 2.5x
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deleteOne({_id}) + insertOne 0.61 ms 5.0 ms 0.1x
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node client RSS 152 MB 156 MB 1.0x
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server RSS 1975 MB 1379 MB
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kill -9 reopen 0.8s 1.3s
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db on disk 1025MB 92MB
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# Baseline before Phase 1, for reference:
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# bulk insert 267 MB/s | createIndex 0.66s | sort+limit 40ms
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# range-scan 25ms | updateMany 20ms | reopen 3.8s | disk 1.0GB | RSS 2.0GB
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#
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# Remaining gaps and where they are addressed:
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# db on disk 11x -> Phase 3 (block-compressed log)
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# sort+limit 2.7x -> Phase 2 (index-ordered scan, _id as an ordered index)
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# updateMany 2.5x -> Phase 2 (B+tree: remove_id is a linear scan per index)
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# range-scan 1.6x -> 1.9 (per-field-per-doc allocation in the matcher)
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# server RSS 1.4x -> Phase 4 (per-document arena -> byte storage)
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