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2026-06-14T07-50-47Z_weaviate-M-filtered-r1

weaviateStufe M · 20.00 GBfilteredStatus: ok

Metriken

Throughput
1.9 QPS
Latenz ⌀
520.26 ms
Latenz p50
290.33 ms
Latenz p95
1531.09 ms
Latenz p99
4497.53 ms
Recall@1
71.00%
Recall@10
68.40%
Recall@100
59.47%
Precision@10
68.40%
NDCG@10
77.65%

Rohdaten

Konfiguration

Config-Name
weaviate-M-filtered
DB-Version
Image
Index-Typ
hnsw
Index-Params
{"ef":64,"ef_construction":128,"M":16,"vector_cache_max_objects":4500000,"query_vector_cache_max_objects":1000000}
Dataset
M · 5.250.000 Vektoren · dim 1024 · Variante A · 20.00 GB
Queries
2.000 (Concurrency 1)

Lauf

Gestartet
14.06.2026, 09:50:47
Beendet
14.06.2026, 10:09:45
Dauer
8338s
Index-Bauzeit
28802.4s
Index-Größe
34719.6 MB
CPU ⌀ / Peak
0.70 / 1.46 cores
RAM ⌀ / Peak
9691 / 12631 MB
Disk read (Paging)
527779 MB
Disk write
5 MB
Pod-RAM-Limit
20 GiB
Warmup-Queries
1.000
K8s
v1.31.4+k3s1
Nodes
4

Notizen

measured: in-cluster
decoupled: true
ingested_at: 2026-06-13T10:53:08Z
ingest_config: weaviate-M-latency
insert_time_s: 2726.32
n_vectors_actual: 5250000
has_metadata: true
mem_limit_gb: 20
pre_run_reset: rollout-restart
timeout_s: 180
gomemlimit_mib: 18000
query_mem_gb: 20
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":517.717,"windowed":true,"p50_ms":347.595,"p95_ms":3157.303,"p99_ms":4955.056}
mode: measure-only
repeat_group: 2026-06-14T07-50-47Z_weaviate-M-filtered
repeat_index: 1
repeat_total: 3