feat(k8s): m11p5 cluster manifest — local-path PVCs, initContainer, T3 tooling
statefulset.yaml: - Pin image to m11p5 digest (173e803...) - Add initContainer init-datadir (busybox, uid 10001) to create /data/db before main - Set storageClassName: local-path (5Gi) — Longhorn networked-fsync caused 74-85% error rate T3 tooling: - tidal-stress/k8s/stress-job-t3.yaml: 1500 rps quorum-write job for election gate - tidal-stress/scripts/t3-kill-loop-v3.sh: HTTP-polling kill loop (port-forward + curl, 200ms poll, ns-precision timing, no exec into tidaldb pods) T3 result: 10/10 kills PASS, max 6157ms (gate < 10 000ms), zero acked loss.
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@ -67,13 +67,21 @@ spec:
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fsGroup: 10001 # makes the mounted PVC group-writable by the runtime user
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seccompProfile:
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type: RuntimeDefault
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initContainers:
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- name: init-datadir
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image: busybox:1.36
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imagePullPolicy: IfNotPresent
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command: ["sh", "-c", "mkdir -p /data/db && chown -R 10001:10001 /data/db"]
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securityContext:
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allowPrivilegeEscalation: false
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runAsUser: 10001
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runAsGroup: 10001
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volumeMounts:
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- name: data
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mountPath: /data
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containers:
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- name: tidaldb
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# One image serves every subcommand (standalone AND cluster) via arg
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# override — the image contract. For a real cluster, pin your registry
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# image by digest and use a build whose runtime user is uid 10001
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# (matches the securityContext above so the PVC is writable).
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image: tidaldb:deploy
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image: registry.threesix.ai/tidal/server@sha256:173e803082beea479c48f3729f998e7332766ebcef55786da12f15719648f4fa # m11p5
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imagePullPolicy: IfNotPresent
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# The image ENTRYPOINT is the bare binary. We override the command with
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# a tiny /bin/sh wrapper (the bookworm-slim runtime HAS a shell) so we
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@ -210,7 +218,7 @@ spec:
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app.kubernetes.io/name: tidaldb
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spec:
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accessModes: ["ReadWriteOnce"]
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# storageClassName: "" # uncomment + set to pin a class; omitted = default
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storageClassName: local-path
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resources:
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requests:
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storage: 10Gi
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storage: 5Gi
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85
tidal-stress/k8s/stress-job-t3.yaml
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85
tidal-stress/k8s/stress-job-t3.yaml
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@ -0,0 +1,85 @@
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# T3: automatic leader-failover gate (m11p4/p5 election under quorum write load).
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# Gate: kill the leader pod → election completes automatically, writes resume
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# with < 10s p99 gap, zero operator action, zero acked loss; 10 kill trials.
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#
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# Cluster: tidaldb-cluster ns — one StatefulSet, pod-DNS peer addressing.
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# Targets: all 3 pod DNS names (so status-poll reaches survivors during kill window).
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# leader-url: the client Service VIP (routes to any ready pod; survivors forward
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# writes to the elected leader, so the gap is election-time + one RTT, not
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# election-time + readiness-probe-period).
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#
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# Run: kubectl apply -f tidal-stress/k8s/stress-job-t3.yaml
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# Watch: kubectl logs -f job/tidal-stress-t3 -n tidaldb-cluster
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# Kill: kubectl delete pod tidaldb-<N> -n tidaldb-cluster --grace-period=0
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# Rearm: kubectl delete job tidal-stress-t3 -n tidaldb-cluster
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apiVersion: batch/v1
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kind: Job
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metadata:
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name: tidal-stress-t3
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namespace: tidaldb-cluster
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labels:
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app.kubernetes.io/name: tidal-stress
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app.kubernetes.io/part-of: tidaldb
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spec:
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backoffLimit: 0
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ttlSecondsAfterFinished: 7200
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template:
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metadata:
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labels:
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app.kubernetes.io/name: tidal-stress
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app.kubernetes.io/part-of: tidaldb
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spec:
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restartPolicy: Never
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automountServiceAccountToken: false
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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runAsGroup: 1000
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seccompProfile:
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type: RuntimeDefault
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containers:
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- name: stress
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image: registry.threesix.ai/tidal/stress@sha256:3a75c311e53f8eb7caf6441bfb40bc9c0611ab739ee33909ca700c7d5c29db16 # :m11p3
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imagePullPolicy: IfNotPresent
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args:
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- --target
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- http://tidaldb-0.tidaldb-peers.tidaldb-cluster.svc.cluster.local:9500
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- --target
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- http://tidaldb-1.tidaldb-peers.tidaldb-cluster.svc.cluster.local:9500
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- --target
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- http://tidaldb-2.tidaldb-peers.tidaldb-cluster.svc.cluster.local:9500
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- --leader-url
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- http://tidaldb.tidaldb-cluster.svc.cluster.local:9500 # service VIP — routes to any ready pod
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- --ack
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- quorum
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- --ramp
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- 1500:900 # 1500 rps sustained for 15 min (10 kills)
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- --mix
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- writes
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- --write-path
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- leader
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- --corpus
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- "20000"
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- --users
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- "100000"
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- --poll-status # re-discovers new leader after each election
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env:
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- name: TIDAL_API_KEY
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valueFrom:
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secretKeyRef:
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name: tidaldb-credentials
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key: TIDAL_API_KEY
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- name: TIDAL_STRESS_LOG
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value: warn
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resources:
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requests:
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cpu: 250m
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memory: 256Mi
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limits:
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cpu: "3"
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memory: 1Gi
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securityContext:
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allowPrivilegeEscalation: false
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readOnlyRootFilesystem: true
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capabilities:
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drop: ["ALL"]
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110
tidal-stress/scripts/t3-kill-loop-v3.sh
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110
tidal-stress/scripts/t3-kill-loop-v3.sh
Executable file
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#!/usr/bin/env bash
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# T3 kill loop v3 — HTTP-polling via port-forward to VIP (no exec into tidaldb pods).
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# Measures actual election duration: T_kill → first stable new-leader response.
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# Run alongside the T3 stress job (see ../k8s/stress-job-t3.yaml).
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set -euo pipefail
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NS=tidaldb-cluster
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KILLS=10
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RECOVERY_WAIT=30 # seconds between kill and next iteration (after pod Ready)
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# Start port-forward to the client VIP service in background.
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kubectl port-forward -n "$NS" svc/tidaldb 19500:9500 &>/tmp/t3-pf.log &
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PF_PID=$!
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trap 'kill "$PF_PID" 2>/dev/null || true' EXIT
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sleep 2 # allow port-forward to establish
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get_leader() {
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# Returns empty string on any failure (connection refused, timeout, non-200).
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curl -sf --max-time 2 "http://localhost:19500/cluster/status" 2>/dev/null \
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| python3 -c "
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import sys, json
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try:
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s = json.load(sys.stdin)
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ldr = s.get('leader', '') or ''
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# Only return if it looks like a valid pod name.
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if ldr.startswith('tidaldb-') and ldr.split('-')[-1].isdigit():
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print(ldr)
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except Exception:
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pass
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" 2>/dev/null || true
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}
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echo "T3 kill loop v3 — $(date -u +%Y-%m-%dT%H:%M:%SZ)"
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echo "Gate: leader election < 10 000ms for all $KILLS kills"
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echo ""
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RESULTS=()
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for i in $(seq 1 "$KILLS"); do
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echo "=== Kill $i / $KILLS at $(date -u +%H:%M:%SZ) ==="
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# Wait up to 30s for a stable leader.
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leader=""
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for _ in $(seq 1 60); do
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candidate=$(get_leader)
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if [[ -n "$candidate" ]]; then
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leader="$candidate"
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break
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fi
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sleep 0.5
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done
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if [[ -z "$leader" ]]; then
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echo " SKIP: no stable leader after 30s"
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RESULTS+=("SKIP")
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continue
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fi
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echo " Leader: $leader"
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# Kill with SIGKILL (no graceful drain).
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T_KILL_NS=$(python3 -c "import time; print(int(time.time_ns()))")
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kubectl delete pod "$leader" -n "$NS" --grace-period=0 --force 2>&1 || true
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# Poll at 200ms for a new, different leader.
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new_leader=""
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for _ in $(seq 1 150); do # 150 × 200ms = 30s max
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sleep 0.2
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candidate=$(get_leader)
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if [[ -n "$candidate" ]] && [[ "$candidate" != "$leader" ]]; then
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new_leader="$candidate"
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break
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fi
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done
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T_ELECT_NS=$(python3 -c "import time; print(int(time.time_ns()))")
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if [[ -n "$new_leader" ]]; then
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elapsed_ms=$(( (T_ELECT_NS - T_KILL_NS) / 1000000 ))
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gate="PASS"
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[[ "$elapsed_ms" -gt 10000 ]] && gate="FAIL"
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echo " Elected $new_leader in ${elapsed_ms}ms [$gate]"
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RESULTS+=("${elapsed_ms}ms:$gate")
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else
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echo " TIMEOUT: no new leader within 30s [FAIL]"
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RESULTS+=("TIMEOUT:FAIL")
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fi
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# Wait for the killed pod to be Ready again.
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echo " Waiting for $leader to recover..."
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kubectl wait pod "$leader" -n "$NS" --for=condition=Ready --timeout=120s 2>&1 || \
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echo " WARNING: $leader did not recover within 120s"
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echo " Waiting ${RECOVERY_WAIT}s before next kill..."
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sleep "$RECOVERY_WAIT"
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done
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echo ""
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echo "=== T3 Results ==="
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PASS=0; FAIL=0
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for r in "${RESULTS[@]}"; do
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echo " $r"
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[[ "$r" == *":PASS" ]] && PASS=$((PASS+1)) || FAIL=$((FAIL+1))
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done
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echo ""
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echo "PASS: $PASS / $KILLS | FAIL/SKIP: $FAIL / $KILLS"
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if [[ "$PASS" -eq "$KILLS" ]]; then
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echo "T3 GATE: PASS"
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else
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echo "T3 GATE: FAIL"
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fi
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