2026-06-09T21-03-45Z_weaviate-S0-throughput-c16-r2
weaviateStufe S0 · 2.00 GBbatchStatus: ok
Metriken
Throughput
941.7 QPS
Latenz ⌀
16.78 ms
Latenz p50
16.15 ms
Latenz p95
27.88 ms
Latenz p99
31.87 ms
Recall@1
85.90%
Recall@10
84.31%
Recall@100
70.38%
Precision@10
84.31%
NDCG@10
89.24%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-09T21-03-45Z_weaviate-S0-throughput-c16-r2/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-09T21-03-45Z_weaviate-S0-throughput-c16-r2/config.jsonDatensatz · 2.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- weaviate-S0-throughput-c16
- DB-Version
- —
- Image
- —
- Index-Typ
- hnsw
- Index-Params
- {"ef":64,"ef_construction":128,"M":16}
- Dataset
- S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
- Queries
- 10.000 (Concurrency 16)
Lauf
- Gestartet
- 09.06.2026, 23:03:45
- Beendet
- 09.06.2026, 23:11:08
- Dauer
- 7643s
- Index-Bauzeit
- 1.03s
- Index-Größe
- 3605.5 MB
- CPU ⌀ / Peak
- 1.89 / 2.00 cores
- RAM ⌀ / Peak
- 3969 / 6108 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 19834 MB
- Pod-RAM-Limit
- Default
- Warmup-Queries
- 1.000
- K8s
- v1.31.4+k3s1
- Nodes
- 4
Notizen
pre_run_reset: rollout-restart timeout_s: 180 insert_time_s: 408.76 n_vectors_actual: 550000 has_metadata: true gt_file: ground_truth_ids.npy measured: in-cluster n_queries_executed: 1000 n_warmup: 1000 mode: real repeat_group: 2026-06-09T20-56-14Z_weaviate-S0-throughput-c16 repeat_index: 2 repeat_total: 3