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2026-06-14T20-03-17Z_weaviate-S1-B-throughput-c16-r2

weaviateStufe S1 · 5.00 GBbatchStatus: ok

Metriken

Throughput
817.2 QPS
Latenz ⌀
19.34 ms
Latenz p50
18.75 ms
Latenz p95
32.65 ms
Latenz p99
37.54 ms
Recall@1
84.90%
Recall@10
81.70%
Recall@100
68.47%
Precision@10
81.70%
NDCG@10
87.33%

Rohdaten

Konfiguration

Config-Name
weaviate-S1-B-throughput-c16
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 B · 5.00 GB
Queries
2.000 (Concurrency 16)

Lauf

Gestartet
14.06.2026, 22:03:17
Beendet
14.06.2026, 22:03:57
Dauer
7240s
Index-Bauzeit
1287.53s
Index-Größe
9330.8 MB
CPU ⌀ / Peak
0.15 / 0.57 cores
RAM ⌀ / Peak
1011 / 3471 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: 2026-06-14T19:47:59Z
ingest_config: weaviate-S1-B-latency
insert_time_s: 653.75
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":"BenchVecs","query_type":"get_graphql","count":1000,"count_all_types":1000,"mean_ms":6.521,"windowed":true,"p50_ms":5.741,"p95_ms":34.496,"p99_ms":46.899}
mode: measure-only
repeat_group: 2026-06-14T20-02-40Z_weaviate-S1-B-throughput-c16
repeat_index: 2
repeat_total: 3