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Benchmarks: the served ArcadeDB arms leave -Xms unset, like the embedded arms - #456
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…ded arms (#455) ARCADEDB_OPTS_MEMORY on every served ArcadeDB arm is -Xmx{heap} only, so both deployments run one JVM configuration again (G1, -Xmx half the cell's memory, no -Xms), as ArcadeDB's maintainers advise for a container with a fixed memory budget. The generated image-defaults sentence reads the main arm's initial heap from the rows, PROTOCOL gains a table of each JVM engine's vendor-recommended setting and what its memory column shows, and the docs and tests follow. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
… what the harness sets, and where they differ (#455) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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…marks/experiments tests in CI (#474) #456 merged with test_export_client_twin.py failing because nothing in CI ran benchmarks/experiments/test_*.py. The assertion now names both deployments, as the exporter's sentence does. New workflow: standard ubuntu runner, only for changes under benchmarks/, cancel in progress, uv run --no-project --with ... (about 75 s). Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Closes #455
The served ArcadeDB arms now pass
ARCADEDB_OPTS_MEMORY=-Xmx{heap}instead of-Xms{heap} -Xmx{heap}, so they leave the JVM's initial heap unset like the embedded arms since #429. G1 and the 50% heap budget stay, so both deployments run one JVM configuration again, and it matches the maintainers' guidance for Docker (ArcadeData#9167, arcadedb-docs "JVM settings in a fixed memory budget"). Embedded evidence (ab.py, 10 clean pairs,heap-pin-ab-20261022): unset versus pinned peak RSS about 1.4 versus 2.4 GB, committed heap about 1 GB versus 4096 MiB, total wall pinned 1-7% worse, GC count and time better pinned, vector build pinned 2-9% worse, ingest and graph pinned 2-11% better. The decision is DECISIONS #200.What changes:
runner.py(five served arms, comments),export_web.py(the generated image-defaults sentence reads the main arm's initial heap from the rows, so rows measured before this change keep the old wording and new rows say the main arm sets no initial heap size; thejvm_heappage declaration now says Elasticsearch and Neo4j pin and ArcadeDB, embedded and served, does not; the served main arm is named in the "starts with no initial heap size" memory clause from its own JVM report),fairness_check.pycomments, PROTOCOL, FAIRNESS, CAMPAIGN, PAGE-SPEC and the bindings protocol page. PROTOCOL section 7 also gets a table of each JVM engine's heap setting, whether the initial heap is pinned, the vendor source with its sentence, and what the memory column shows. Verified against the current docs: Neo4j recommends initial equal to max, Elasticsearch requires the minimum and maximum to be the same, and QuestDB's configuration page has no JVM heap recommendation, so Neo4j, Elasticsearch and QuestDB are unchanged. Their pinned heaps read toward the cap in the memory columns, which is the cost of the vendors' recommended setups and is reported as such.Existing rows are not edited; the ArcadeDB served arms run in the Nov 5-12 pass, after this change, so the comparator subset is unaffected. Tests:
test_instrument_method.pyasserts no ArcadeDB arm pins-Xmsand the served arms keep-Xmx{heap},test_jvm_defaults_arm.pycovers both wordings of the generated sentence and every served arm's env, andtest_index_before_load_note.pyfollows the new declaration. The branch is rebased on #461 (Neo4j and Elasticsearch follow their vendors' memory rules, DECISIONS #202), and the "Beyond the heap" rows for the Neo4j page cache and the Elasticsearch heap ceiling now say match.Untimed served memory check, one container per run, no speed claim (probe and raw rows in the notes repo, DECISIONS #200):
UNTIMED. arcadedata/arcadedb:26.10.2, -m 8g, -Xmx4g, G1, 400000 documents + query mix, MiB, runs in order (median).
JVM read-back (InitialHeapSize, MaxHeapSize, GC, -Xm flags): {'pinned': [('4294967296', '4294967296', 'G1', '-Xms4g -Xmx4g')], 'unset': [('134217728', '4294967296', 'G1', '-Xmx4g')]}
runs ok 6 of 6
Tests, run after the rebase on the head of this branch (
.venvpython -m pytest, benchmarks/experiments):test_instrument_method.py,test_jvm_defaults_arm.py,test_index_before_load_note.py,test_instrument_selector.py,test_overrides.pyandtest_strict_durability.py, 232 passed. I did not run the full benchmark suite.🤖 Generated with Claude Code