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2026-06-12T20-55-44Z_weaviate-S-throughput-c16-r1

weaviateStufe S · 10.00 GBbatchStatus: ok

Metriken

Throughput
665.5 QPS
Latenz ⌀
23.74 ms
Latenz p50
22.36 ms
Latenz p95
44.78 ms
Latenz p99
66.01 ms
Recall@1
81.90%
Recall@10
80.79%
Recall@100
67.98%
Precision@10
80.79%
NDCG@10
86.55%

Rohdaten

Konfiguration

Config-Name
weaviate-S-throughput-c16
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 16)

Lauf

Gestartet
12.06.2026, 22:55:44
Beendet
12.06.2026, 22:56:32
Dauer
7248s
Index-Bauzeit
3179.43s
Index-Größe
16177.8 MB
CPU ⌀ / Peak
0.16 / 0.71 cores
RAM ⌀ / Peak
1502 / 4907 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: 2026-06-12T19:56:41Z
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_ids.npy
server_latency_ms: {"source":"weaviate_prometheus","metric":"queries_durations_ms","class_name":"Bench","count":1000,"mean_ms":8.67,"windowed":true,"p50_ms":6.821,"p95_ms":42.755,"p99_ms":48.792}
mode: measure-only
repeat_group: 2026-06-12T20-55-44Z_weaviate-S-throughput-c16
repeat_index: 1
repeat_total: 3