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2026-06-18T08-25-34Z_weaviate-S0-throughput-c8-r5

weaviateStufe S0 · 2.00 GBbatchStatus: ok

Metriken

Throughput
986.6 QPS
Latenz ⌀
8.03 ms
Latenz p50
7.62 ms
Latenz p95
12.43 ms
Latenz p99
15.13 ms
Recall@1
86.70%
Recall@10
84.29%
Recall@100
70.66%
Precision@10
84.29%
NDCG@10
89.24%

Rohdaten

Konfiguration

Config-Name
weaviate-S0-throughput-c8
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 8)

Lauf

Gestartet
18.06.2026, 10:25:34
Beendet
18.06.2026, 10:26:06
Dauer
7232s
Index-Bauzeit
446.49s
Index-Größe
3463.2 MB
CPU ⌀ / Peak
0.59 / 0.59 cores
RAM ⌀ / Peak
3732 / 3732 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: 2026-06-18T08:22:52Z
ingest_config: weaviate-S0-latency
insert_time_s: 216.14
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":2.803,"windowed":true,"p50_ms":5,"p95_ms":9.5,"p99_ms":9.9}
mode: measure-only
repeat_group: 2026-06-18T08-22-53Z_weaviate-S0-throughput-c8
repeat_index: 5
repeat_total: 6