2026-06-16T09-28-40Z_pgvector-S0-tune-hnsw-high-r5
pgvectorStufe S0 · 2.00 GBtopkStatus: ok
Metriken
Throughput
206.1 QPS
Latenz ⌀
4.82 ms
Latenz p50
4.80 ms
Latenz p95
5.84 ms
Latenz p99
6.40 ms
Recall@1
94.00%
Recall@10
91.65%
Recall@100
81.98%
Precision@10
91.65%
NDCG@10
94.45%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T09-28-40Z_pgvector-S0-tune-hnsw-high-r5/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T09-28-40Z_pgvector-S0-tune-hnsw-high-r5/config.jsonDatensatz · 2.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S0-tune-hnsw-high
- DB-Version
- —
- Image
- —
- Index-Typ
- hnsw
- Index-Params
- {"M":32,"ef_construction":256,"ef_search":128}
- Dataset
- S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
- Queries
- 1.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 11:28:40
- Beendet
- 16.06.2026, 11:28:56
- Dauer
- 7216s
- Index-Bauzeit
- 1196.39s
- Index-Größe
- 4249.4 MB
- CPU ⌀ / Peak
- 0.43 / 0.51 cores
- RAM ⌀ / Peak
- 7109 / 7109 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 0 MB
- Pod-RAM-Limit
- 8 GiB
- Warmup-Queries
- 1.000
- K8s
- v1.31.4+k3s1
- Nodes
- 4
Notizen
measured: in-cluster decoupled: true ingested_at: 2026-06-16T09:26:57Z ingest_config: pgvector-S0-tune-hnsw-high insert_time_s: 207.02 n_vectors_actual: 550000 has_metadata: true mem_limit_gb: 8 pre_run_reset: skipped (decoupled, warmup-discard) n_queries_executed: 1000 n_warmup: 1000 gt_file: ground_truth_ids.npy mode: measure-only repeat_group: 2026-06-16T09-26-57Z_pgvector-S0-tune-hnsw-high repeat_index: 5 repeat_total: 6