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benchmarks: the PostgreSQL-family and QuestDB arms use the vendor's documented client paths (autocommit, binary COPY, binary cursors) - #251
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…ocumented client paths (#250) PostgresTPC (and postgres_tuned) runs the timed calls in autocommit, new-order and payment keep BEGIN..COMMIT through cx.transaction(), build() stays one transaction. The pgvector dense and PG+AGE product loads use binary COPY with pgvector-python's types (import is lazy). The six QuestDB reads use binary=True. CAMPAIGN.md section 7 row 76 tracks the image pins that land at the tier 1 to tier 2 rebuild, PROTOCOL.md section 7 records the three client paths. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ubz3m6QXHESerCkehC1qgi
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Closes #250. Changes only
benchmarks/experiments:l1_tpc.py,l3d_dense.py,e2_hybrid.py,l4_tsbs.py,CAMPAIGN.md(section 7 row 76), andPROTOCOL.md(section 7, three rows).PostgresTPC(andpostgres_tuned) runs the timed calls in autocommit, set after the final commit ofbuild(), which stays one transaction. The four CRUD calls and the analytics reads send one message each. New-order and payment keep BEGIN, three statements, COMMIT throughwith self.cx.transaction():. psycopg pipeline mode is not used (measured slower, 0.82x and 0.88x).PgVector.connectandPgAgeE2.__init__callregister_vector(self.cx), and the dense and product loads use binary COPY withcp.set_types([...])and numpy rows. The pgvector import is lazy, inside those two methods, so a stage that never touches pgvector never needs the package. The sparse pgvector load is untouched (1.09x, a null).QuestTSreads go through a_qhelper that passesbinary=True.Effects, from the G3 laptop A/B (12 interleaved repetitions, E cores 8-11): CRUD calls 1.83x to 1.96x faster, pgvector ingest column 9.1x to 13.2x faster, QuestDB q_high 1.34x and the other five reads null. None of it flatters ArcadeDB. The 1.9x CRUD figure still needs a mini confirmation before it is printed.
Safety for the live campaign: tier 1 (ArcadeDB only) stages do import these four modules, so the check before merging is real, but nothing changed at module level (no new top-level import, constant, or call): only the bodies of the
PostgresTPC,PgVector,PgAgeE2, andQuestTSmethods changed, and no ArcadeDB arm runs them.build_images.shis not touched. Thepgvector==0.5.0andneo4j-rust-ext==6.3.1.0pins are tracked as a pending TODO row (76) in CAMPAIGN.md section 7 and land with the tier 1 to tier 2 image rebuild. Until then apgvector_denseorpg_age_e2cell on the currentclientimage fails at connect with an ImportError, loudly and by design.Gates run:
compile()on all four touched modules; import ofl1_tpc,l3d_dense,e2_hybrid,l4_tsbsin a venv with psycopg 3.3.6 and pgvector 0.5.0; the fullbenchmarks/experimentspytest suite, whose failure and error set (1 failed, 45 errors, 580 passed, 20 skipped) is identical on origin/main f6190b2 because those tests needresults/and.notesdata that a worktree lacks; pre-commit hooks;comparator_pins_check,structure_check, andversion_pin_checkidentical to origin/main. Laptop smoke through the lane classes against real PostgreSQL 18.6 (digest7341002d), pgvector 0.8.6 (1d50c689),dbbench:pg-age, and QuestDB (931af415), origin/main against this branch: documents (crud, orders, stock, payments, q6) digests identical; dense 20,000 SIFT vectors stored rows and search digests identical; e2 5,000 products stored rows and view counts identical (the retrieval top-k differs between two HNSW builds of the same table, and origin/main against itself differs the same way); QuestDB 300,000 points, six answers identical.Merge only after checking that no stage on mini is importing the touched modules at that moment.
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