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2026-06-14T11-15-35Z_weaviate-M-throughput-c16-r2

weaviateStufe M · 20.00 GBbatchStatus: ok

Metriken

Throughput
12.8 QPS
Latenz ⌀
1241.98 ms
Latenz p50
1204.64 ms
Latenz p95
2143.35 ms
Latenz p99
2654.27 ms
Recall@1
68.40%
Recall@10
65.90%
Recall@100
56.69%
Precision@10
65.90%
NDCG@10
75.60%

Rohdaten

Konfiguration

Config-Name
weaviate-M-throughput-c16
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 16)

Lauf

Gestartet
14.06.2026, 13:15:35
Beendet
14.06.2026, 13:23:04
Dauer
7649s
Index-Bauzeit
28802.4s
Index-Größe
34719.6 MB
CPU ⌀ / Peak
1.39 / 1.84 cores
RAM ⌀ / Peak
13314 / 19501 MB
Disk read (Paging)
66418 MB
Disk write
1 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_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":1071.3,"windowed":true,"p50_ms":1219.282,"p95_ms":4621.928,"p99_ms":4924.386}
mode: measure-only
repeat_group: 2026-06-14T11-07-46Z_weaviate-M-throughput-c16
repeat_index: 2
repeat_total: 3