2026-06-15T22-05-37Z_pgvector-S0-latency-r4
pgvectorStufe S0 · 2.00 GBtopkStatus: ok
Metriken
Throughput
360.8 QPS
Latenz ⌀
2.74 ms
Latenz p50
2.72 ms
Latenz p95
3.37 ms
Latenz p99
3.67 ms
Recall@1
88.10%
Recall@10
83.80%
Recall@100
60.72%
Precision@10
83.80%
NDCG@10
88.91%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-15T22-05-37Z_pgvector-S0-latency-r4/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-15T22-05-37Z_pgvector-S0-latency-r4/config.jsonDatensatz · 2.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S0-latency
- DB-Version
- —
- Image
- —
- Index-Typ
- hnsw
- Index-Params
- {"m":16,"ef_construction":128,"ef_search":64}
- Dataset
- S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
- Queries
- 2.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 00:05:37
- Beendet
- 16.06.2026, 00:05:49
- Dauer
- 7212s
- Index-Bauzeit
- 666.04s
- Index-Größe
- 4249.4 MB
- CPU ⌀ / Peak
- 0.29 / 0.30 cores
- RAM ⌀ / Peak
- 6815 / 6820 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 48 MB
- Pod-RAM-Limit
- Default
- Warmup-Queries
- 1.000
- K8s
- v1.31.4+k3s1
- Nodes
- 4
Notizen
measured: in-cluster decoupled: true ingested_at: 2026-06-15T22:04:31Z ingest_config: pgvector-S0-latency insert_time_s: 224.37 n_vectors_actual: 550000 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: 2026-06-15T22-04-31Z_pgvector-S0-latency repeat_index: 4 repeat_total: 6