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2026-06-12T20-39-30Z_weaviate-S-filtered-r3

weaviateStufe S · 10.00 GBfilteredStatus: ok

Metriken

Throughput
63.8 QPS
Latenz ⌀
15.63 ms
Latenz p50
10.99 ms
Latenz p95
35.43 ms
Latenz p99
96.58 ms
Recall@1
84.30%
Recall@10
83.40%
Recall@100
70.93%
Precision@10
83.40%
NDCG@10
88.52%

Rohdaten

Konfiguration

Config-Name
weaviate-S-filtered
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":3000000,"query_vector_cache_max_objects":1000000}
Dataset
S · 2.650.000 Vektoren · dim 1024 · Variante A · 10.00 GB
Queries
10.000 (Concurrency 1)

Lauf

Gestartet
12.06.2026, 22:39:30
Beendet
12.06.2026, 22:40:37
Dauer
7267s
Index-Bauzeit
3179.43s
Index-Größe
16177.8 MB
CPU ⌀ / Peak
0.65 / 1.15 cores
RAM ⌀ / Peak
3872 / 6586 MB
Disk read (Paging)
1357 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: 2026-06-12T19:56:41Z
ingest_config: weaviate-S-latency
insert_time_s: 1401.53
n_vectors_actual: 2650000
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_filter_rating_gte_4_ids.npy
server_latency_ms: {"source":"weaviate_prometheus","metric":"queries_durations_ms","class_name":"Bench","count":1000,"mean_ms":14.217,"windowed":true,"p50_ms":8.666,"p95_ms":47.677,"p99_ms":97.222}
mode: measure-only
repeat_group: 2026-06-12T20-25-29Z_weaviate-S-filtered
repeat_index: 3
repeat_total: 3