2026-06-17T08-42-27Z_pgvector-S-tune-ivfprobes-p100-r3
pgvectorStufe S · 10.00 GBtopkStatus: ok
Metriken
Throughput
0.7 QPS
Latenz ⌀
1338.25 ms
Latenz p50
1303.60 ms
Latenz p95
1993.83 ms
Latenz p99
2318.47 ms
Recall@1
94.70%
Recall@10
93.75%
Recall@100
91.40%
Precision@10
93.75%
NDCG@10
95.91%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-17T08-42-27Z_pgvector-S-tune-ivfprobes-p100-r3/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-17T08-42-27Z_pgvector-S-tune-ivfprobes-p100-r3/config.jsonDatensatz · 10.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S-tune-ivfprobes-p100
- DB-Version
- —
- Image
- —
- Index-Typ
- ivfflat
- Index-Params
- {"lists":2400,"probes":100}
- Dataset
- S · 2.650.000 Vektoren · dim 1024 · Variante A · 10.00 GB
- Queries
- 1.000 (Concurrency 1)
Lauf
- Gestartet
- 17.06.2026, 10:42:27
- Beendet
- 17.06.2026, 11:27:09
- Dauer
- 9882s
- Index-Bauzeit
- 266.75s
- Index-Größe
- 20710.9 MB
- CPU ⌀ / Peak
- 0.51 / 0.54 cores
- RAM ⌀ / Peak
- 7452 / 7530 MB
- Disk read (Paging)
- 1743158 MB
- Disk write
- 4126 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: 2026-06-17T07-12-01Z_pgvector-S-tune-ivfprobes-p100 repeat_index: 3 repeat_total: 6