2026-06-16T07-10-43Z_pgvector-XS-latency-r2
pgvectorStufe XS · 410 MBtopkStatus: ok
Metriken
Throughput
449.1 QPS
Latenz ⌀
2.20 ms
Latenz p50
2.19 ms
Latenz p95
2.68 ms
Latenz p99
2.94 ms
Recall@1
89.50%
Recall@10
86.53%
Recall@100
62.92%
Precision@10
86.53%
NDCG@10
90.90%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T07-10-43Z_pgvector-XS-latency-r2/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T07-10-43Z_pgvector-XS-latency-r2/config.jsonDatensatz · 410 MB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-XS-latency
- DB-Version
- —
- Image
- —
- Index-Typ
- hnsw
- Index-Params
- {"m":16,"ef_construction":128,"ef_search":64}
- Dataset
- XS · 150.000 Vektoren · dim 1024 · Variante A · 410 MB
- Queries
- 2.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 09:10:43
- Beendet
- 16.06.2026, 09:10:53
- Dauer
- 7210s
- Index-Bauzeit
- 101.29s
- Index-Größe
- 1158.1 MB
- CPU ⌀ / Peak
- 0.73 / 1.01 cores
- RAM ⌀ / Peak
- 2212 / 2230 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 16 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: 2026-06-16T07:10:24Z ingest_config: pgvector-XS-latency insert_time_s: 72.57 n_vectors_actual: 150000 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: 2026-06-16T07-10-25Z_pgvector-XS-latency repeat_index: 2 repeat_total: 6