31ee612f27
Scale write throughput across data-shard groups while keeping a single unified read surface: - scatter_gather.rs: pooled fan-out across shard groups (replaces per-request client construction); cross-shard query results merged on one node - cluster/node.rs: cross-shard read routing — a read on any node gathers from every shard group's leader and unions results - cluster/forward.rs: fix h2 204 forward-relay bug (relay_forwarded skips body for 1xx/204/304 — synthesized JSON body on a 204 triggered HTTP/2 RST_STREAM on the real mTLS plane) - dto.rs: cross-shard query/result DTOs - k8s/cluster/: enable 3-group `shards:` topology (statefulset, service-peers, topology-configmap) - k8s/cluster-local-kind/: local-kind overlay to run the T5 gate without Ref-A - tidal-stress/k8s/stress-job-t5.yaml: 2-generator sharded throughput job - tests: cluster_cross_shard_reads.rs + multiproc support; ran real on kind - docs/profiling/m12p4-t5-sharded-throughput.md: T5 throughput findings |
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| .. | ||
| stress-job-1536-peach.yaml | ||
| stress-job-m11p6-baseline.yaml | ||
| stress-job-t2a.yaml | ||
| stress-job-t2b.yaml | ||
| stress-job-t3.yaml | ||
| stress-job-t5.yaml | ||
| stress-job.yaml | ||