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2026-06-18T08-59-31Z_weaviate-S1-throughput-c8-r1

weaviateStufe S1 · 5.00 GBbatchStatus: ok

Metriken

Throughput
550.5 QPS
Latenz ⌀
14.45 ms
Latenz p50
13.02 ms
Latenz p95
28.51 ms
Latenz p99
40.17 ms
Recall@1
86.20%
Recall@10
81.84%
Recall@100
68.20%
Precision@10
81.84%
NDCG@10
87.44%

Rohdaten

Konfiguration

Config-Name
weaviate-S1-throughput-c8
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":1500000,"query_vector_cache_max_objects":1000000}
Dataset
S1 · 1.350.000 Vektoren · dim 1024 · Variante A · 5.00 GB
Queries
2.000 (Concurrency 8)

Lauf

Gestartet
18.06.2026, 10:59:31
Beendet
18.06.2026, 11:00:16
Dauer
7245s
Index-Bauzeit
1367.45s
Index-Größe
8313.0 MB
CPU ⌀ / Peak
0.40 / 0.51 cores
RAM ⌀ / Peak
1674 / 2702 MB
Disk read (Paging)
3198 MB
Disk write
241 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: 2026-06-18T08:59:30Z
ingest_config: weaviate-S1-latency
insert_time_s: 564.97
n_vectors_actual: 1350000
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":6.491,"windowed":true,"p50_ms":5.76,"p95_ms":34.848,"p99_ms":46.97}
mode: measure-only
repeat_group: 2026-06-18T08-59-31Z_weaviate-S1-throughput-c8
repeat_index: 1
repeat_total: 6