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2026-06-18T10-23-25Z_weaviate-S-throughput-c8-r3

weaviateStufe S · 10.00 GBbatchStatus: ok

Metriken

Throughput
359.2 QPS
Latenz ⌀
22.18 ms
Latenz p50
10.87 ms
Latenz p95
67.06 ms
Latenz p99
86.35 ms
Recall@1
83.10%
Recall@10
80.58%
Recall@100
67.76%
Precision@10
80.58%
NDCG@10
86.39%

Rohdaten

Konfiguration

Config-Name
weaviate-S-throughput-c8
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 8)

Lauf

Gestartet
18.06.2026, 12:23:25
Beendet
18.06.2026, 12:25:05
Dauer
7300s
Index-Bauzeit
3175.83s
Index-Größe
16107.9 MB
CPU ⌀ / Peak
0.33 / 0.42 cores
RAM ⌀ / Peak
4160 / 6884 MB
Disk read (Paging)
20558 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: 2026-06-18T10:16:04Z
ingest_config: weaviate-S-latency
insert_time_s: 1145.51
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","query_type":"get_graphql","count":1000,"count_all_types":1000,"mean_ms":11.552,"windowed":true,"p50_ms":7.463,"p95_ms":45.443,"p99_ms":64.286}
mode: measure-only
repeat_group: 2026-06-18T10-16-06Z_weaviate-S-throughput-c8
repeat_index: 3
repeat_total: 6