2026-06-16T19-12-03Z_pgvector-S-B-ivfflat-r4
pgvectorStufe S · 10.00 GBtopkStatus: ok
Metriken
Throughput
7.5 QPS
Latenz ⌀
132.98 ms
Latenz p50
120.08 ms
Latenz p95
256.26 ms
Latenz p99
345.57 ms
Recall@1
68.70%
Recall@10
66.41%
Recall@100
59.16%
Precision@10
66.41%
NDCG@10
75.80%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T19-12-03Z_pgvector-S-B-ivfflat-r4/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T19-12-03Z_pgvector-S-B-ivfflat-r4/config.jsonDatensatz · 10.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S-B-ivfflat
- 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, 21:12:03
- Beendet
- 16.06.2026, 21:16:35
- Dauer
- 7472s
- Index-Bauzeit
- 256.48s
- Index-Größe
- 20710.9 MB
- CPU ⌀ / Peak
- 0.46 / 0.49 cores
- RAM ⌀ / Peak
- 7447 / 7467 MB
- Disk read (Paging)
- 128681 MB
- Disk write
- 59 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_ids.npy mode: measure-only repeat_group: 2026-06-16T18-58-00Z_pgvector-S-B-ivfflat repeat_index: 4 repeat_total: 6