2026-06-16T07-22-50Z_pgvector-XS-ivfflat-r6
pgvectorStufe XS · 410 MBtopkStatus: ok
Metriken
Throughput
94.8 QPS
Latenz ⌀
10.52 ms
Latenz p50
10.48 ms
Latenz p95
12.80 ms
Latenz p99
13.84 ms
Recall@1
83.80%
Recall@10
80.69%
Recall@100
74.70%
Precision@10
80.69%
NDCG@10
86.82%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T07-22-50Z_pgvector-XS-ivfflat-r6/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T07-22-50Z_pgvector-XS-ivfflat-r6/config.jsonDatensatz · 410 MB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-XS-ivfflat
- DB-Version
- —
- Image
- —
- Index-Typ
- ivfflat
- Index-Params
- {"lists":100,"probes":10}
- Dataset
- XS · 150.000 Vektoren · dim 1024 · Variante A · 410 MB
- Queries
- 2.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 09:22:50
- Beendet
- 16.06.2026, 09:23:17
- Dauer
- 7227s
- Index-Bauzeit
- 12.16s
- Index-Größe
- 1172.7 MB
- CPU ⌀ / Peak
- 0.65 / 0.94 cores
- RAM ⌀ / Peak
- 2222 / 2222 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: 2026-06-16T07:20:02Z ingest_config: pgvector-XS-ivfflat insert_time_s: 58.44 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: 2026-06-16T07-20-03Z_pgvector-XS-ivfflat repeat_index: 6 repeat_total: 6