2026-06-15T22-32-51Z_weaviate-S0-latency-r6
weaviateStufe S0 · 2.00 GBtopkStatus: ok
Metriken
Throughput
398.4 QPS
Latenz ⌀
2.48 ms
Latenz p50
2.47 ms
Latenz p95
2.80 ms
Latenz p99
2.95 ms
Recall@1
85.80%
Recall@10
84.24%
Recall@100
70.52%
Precision@10
84.24%
NDCG@10
89.22%
Rohdaten
summary.json ↗Vollständige Run-Metrikenhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-15T22-32-51Z_weaviate-S0-latency-r6/summary.jsonconfig.json ↗Eingesetzte Konfigurationhttps://raw.githubusercontent.com/unrealshape/bachelor-db-benchmark/main/results/2026-06-15T22-32-51Z_weaviate-S0-latency-r6/config.jsonDatensatz · 2.00 GB ↗Generator + Bauanleitung im RepoRun-Ordner auf GitHub ↗Beide Rohdateien im Verzeichnis
Konfiguration
- Config-Name
- weaviate-S0-latency
- 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
- 2.000 (Concurrency 1)
Lauf
- Gestartet
- 16.06.2026, 00:32:51
- Beendet
- 16.06.2026, 00:33:22
- Dauer
- 7231s
- Index-Bauzeit
- 441.49s
- Index-Größe
- 3454.8 MB
- CPU ⌀ / Peak
- 0.22 / 0.22 cores
- RAM ⌀ / Peak
- 1378 / 1378 MB
- Disk read (Paging)
- 0 MB
- Disk write
- 0 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: 2026-06-15T22:29:39Z
ingest_config: weaviate-S0-latency
insert_time_s: 201.37
n_vectors_actual: 550000
has_metadata: true
mem_limit_gb: 8
pre_run_reset: rollout-restart
timeout_s: 180
gomemlimit_mib: 7000
query_mem_gb: 8
n_queries_executed: 1000
n_warmup: 1000
gt_file: ground_truth_ids.npy
server_latency_ms: {"source":"weaviate_prometheus","metric":"queries_durations_ms","class_name":"Bench","query_type":"get_graphql","count":1000,"count_all_types":1000,"mean_ms":1.483,"windowed":true,"p50_ms":5,"p95_ms":9.5,"p99_ms":9.9}
mode: measure-only
repeat_group: 2026-06-15T22-29-39Z_weaviate-S0-latency
repeat_index: 6
repeat_total: 6