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2026-06-15T22-35-31Z_weaviate-S0-filtered-r4

weaviateStufe S0 · 2.00 GBfilteredStatus: ok

Metriken

Throughput
253.5 QPS
Latenz ⌀
3.91 ms
Latenz p50
2.97 ms
Latenz p95
9.02 ms
Latenz p99
18.22 ms
Recall@1
88.40%
Recall@10
85.99%
Recall@100
73.37%
Precision@10
85.99%
NDCG@10
90.42%

Rohdaten

Konfiguration

Config-Name
weaviate-S0-filtered
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
2.000 (Concurrency 1)

Lauf

Gestartet
16.06.2026, 00:35:31
Beendet
16.06.2026, 00:36:07
Dauer
7236s
Index-Bauzeit
441.49s
Index-Größe
3454.8 MB
CPU ⌀ / Peak
0.47 / 0.47 cores
RAM ⌀ / Peak
3737 / 3737 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: 2026-06-15T22:29:39Z
ingest_config: weaviate-S0-latency
insert_time_s: 201.37
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_filter_rating_gte_4_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":2.905,"windowed":true,"p50_ms":5.165,"p95_ms":9.814,"p99_ms":37.5}
mode: measure-only
repeat_group: 2026-06-15T22-33-28Z_weaviate-S0-filtered
repeat_index: 4
repeat_total: 6