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2026-06-16T14-16-19Z_weaviate-S0-tune-efsweep-ef016-r6

weaviateStufe S0 · 2.00 GBtopkStatus: ok

Metriken

Throughput
353.6 QPS
Latenz ⌀
2.80 ms
Latenz p50
2.79 ms
Latenz p95
3.16 ms
Latenz p99
3.46 ms
Recall@1
85.80%
Recall@10
84.09%
Recall@100
70.51%
Precision@10
84.09%
NDCG@10
89.10%

Rohdaten

Konfiguration

Config-Name
weaviate-S0-tune-efsweep-ef016
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"M":16,"ef_construction":128,"ef":16}
Dataset
S0 · 550.000 Vektoren · dim 1024 · Variante A · 2.00 GB
Queries
1.000 (Concurrency 1)

Lauf

Gestartet
16.06.2026, 16:16:19
Beendet
16.06.2026, 16:16:52
Dauer
7233s
Index-Bauzeit
426.47s
Index-Größe
3449.5 MB
CPU ⌀ / Peak
0.39 / 0.40 cores
RAM ⌀ / Peak
2803 / 3351 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: 2026-06-16T14:12:58Z
ingest_config: weaviate-S0-tune-efsweep-ef064
insert_time_s: 198.18
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":1.703,"windowed":true,"p50_ms":5,"p95_ms":9.5,"p99_ms":9.9}
mode: measure-only
repeat_group: 2026-06-16T14-12-58Z_weaviate-S0-tune-efsweep-ef016
repeat_index: 6
repeat_total: 6