2026-06-16T10-54-18Z_pgvector-S0-tune-ivfprobes-p001-r4
pgvectorStufe S0 · 2.00 GBtopkStatus: ok
Metriken
Throughput
473.9 QPS
Latenz ⌀
2.08 ms
Latenz p50
1.97 ms
Latenz p95
3.14 ms
Latenz p99
3.89 ms
Recall@1
28.50%
Recall@10
25.67%
Recall@100
20.91%
Precision@10
25.67%
NDCG@10
36.36%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T10-54-18Z_pgvector-S0-tune-ivfprobes-p001-r4/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-16T10-54-18Z_pgvector-S0-tune-ivfprobes-p001-r4/config.jsonDatensatz · 2.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- pgvector-S0-tune-ivfprobes-p001
- DB-Version
- —
- Image
- —
- Index-Typ
- ivfflat
- Index-Params
- {"lists":500,"probes":1}
- Dataset
- S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
- Queries
- 1.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 12:54:18
- Beendet
- 16.06.2026, 12:54:27
- Dauer
- 7209s
- Index-Bauzeit
- 40.8s
- Index-Größe
- 4300.8 MB
- CPU ⌀ / Peak
- 0.26 / 0.27 cores
- RAM ⌀ / Peak
- 5015 / 5034 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 82 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: 2026-06-16T10:53:19Z ingest_config: pgvector-S0-tune-ivfprobes-p010 insert_time_s: 201.13 n_vectors_actual: 550000 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: 2026-06-16T10-53-19Z_pgvector-S0-tune-ivfprobes-p001 repeat_index: 4 repeat_total: 6