docs: add DuckLake vs Iceberg benchmark report - #79
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| "flush_count": 100, | ||
| "final_rows": 90000, | ||
| "data_objects": 101, | ||
| "delete_objects": 406, |
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Recompute delete-object counts from filenames
For every delete-10pct and mixed-append-update-delete sample, delete_objects is inflated to total_objects—for example, Iceberg COW reports 406 delete objects here despite using copy-on-write. The generating helper at test/integration/lakehouse_feature_benchmark_test.go:400 classifies any full key containing delete, but the sample prefix itself contains the scenario name, so every data and metadata object matches. These committed object-count results should be regenerated after classification is restricted to the filename or actual object type.
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| Run the benchmark with the integration stack: | ||
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| ```bash | ||
| docker compose -f test/integration/docker-compose.yml up -d --wait || true |
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Do not mask integration-stack startup failures
When Compose fails to start or health-check MinIO, || true converts that failure into success; Bash's help true documents that it “Return[s] a successful result” and “Always succeeds.” The subsequent benchmark then calls skipIfMinIOUnavailable and exits successfully via t.Skip, so this documented sequence can appear to complete normally without running the benchmark or producing the requested JSON output.
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Closes #70.
Adds benchmark documentation and committed baseline result snapshots for the DuckLake vs Iceberg benchmark harness that was merged in #75.
Included:
docs/benchmarks/ducklake-vs-iceberg.mddocs/benchmarks/results/*.jsonThe benchmark harness itself already exists at:
test/integration/lakehouse_feature_benchmark_test.goValidation: