2026-06-17T04-54-32Z_pgvector-S-tune-ivfprobes-p001-r6
pgvectorStufe S · 10.00 GBtopkStatus: ok
Metriken
Throughput
20.7 QPS
Latenz ⌀
48.35 ms
Latenz p50
46.04 ms
Latenz p95
89.29 ms
Latenz p99
107.79 ms
Recall@1
30.00%
Recall@10
26.55%
Recall@100
21.92%
Precision@10
26.55%
NDCG@10
36.46%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-17T04-54-32Z_pgvector-S-tune-ivfprobes-p001-r6/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-17T04-54-32Z_pgvector-S-tune-ivfprobes-p001-r6/config.jsonDatensatz · 10.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S-tune-ivfprobes-p001
- DB-Version
- —
- Image
- —
- Index-Typ
- ivfflat
- Index-Params
- {"lists":2400,"probes":1}
- Dataset
- S · 2.650.000 Vektoren · dim 1024 · Variante A · 10.00 GB
- Queries
- 1.000 (Concurrency 1)
Lauf
- Gestartet
- 17.06.2026, 06:54:32
- Beendet
- 17.06.2026, 06:56:12
- Dauer
- 7300s
- Index-Bauzeit
- 266.75s
- Index-Größe
- 20710.9 MB
- CPU ⌀ / Peak
- 0.24 / 0.29 cores
- RAM ⌀ / Peak
- 7444 / 7446 MB
- Disk read (Paging)
- 18747 MB
- Disk write
- 0 MB
- Pod-RAM-Limit
- Default
- Warmup-Queries
- 1.000
- K8s
- v1.31.4+k3s1
- Nodes
- 4
Notizen
measured: in-cluster decoupled: true ingested_at: 2026-06-17T04:47:06Z ingest_config: pgvector-S-ivfflat insert_time_s: 1062.59 n_vectors_actual: 2650000 has_metadata: true mem_limit_gb: null 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: 2026-06-17T04-47-06Z_pgvector-S-tune-ivfprobes-p001 repeat_index: 6 repeat_total: 6