2026-06-16T20-27-27Z_pgvector-S-B-hybrid-r4
pgvectorStufe S · 10.00 GBhybridStatus: ok
Metriken
Throughput
3.6 QPS
Latenz ⌀
275.49 ms
Latenz p50
232.28 ms
Latenz p95
429.37 ms
Latenz p99
874.06 ms
Recall@1
11.80%
Recall@10
27.70%
Recall@100
32.22%
Precision@10
27.70%
NDCG@10
38.30%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T20-27-27Z_pgvector-S-B-hybrid-r4/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T20-27-27Z_pgvector-S-B-hybrid-r4/config.jsonDatensatz · 10.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S-B-hybrid
- DB-Version
- —
- Image
- —
- Index-Typ
- ivfflat
- Index-Params
- {"lists":1000,"probes":10}
- Dataset
- S · 2.650.000 Vektoren · dim 1024 · Variante B · 10.00 GB
- Queries
- 2.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 22:27:27
- Beendet
- 16.06.2026, 22:36:50
- Dauer
- 7763s
- Index-Bauzeit
- 256.48s
- Index-Größe
- 20710.9 MB
- CPU ⌀ / Peak
- 0.51 / 1.60 cores
- RAM ⌀ / Peak
- 7455 / 7532 MB
- Disk read (Paging)
- 167700 MB
- Disk write
- 117 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: 2026-06-16T18:58:00Z ingest_config: pgvector-S-B-ivfflat insert_time_s: 915.51 n_vectors_actual: 2650000 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_hybrid_alpha_50_ids.npy mode: measure-only repeat_group: 2026-06-16T19-59-53Z_pgvector-S-B-hybrid repeat_index: 4 repeat_total: 6