feat(trace-pipeline): memory triage, async job queue, and NDJSON streaming

Three proposals addressing the 2026-02-25 trace pipeline OOM crash (114K CIDs):

1. trace-events-memory-triage: fetchmany iterator (read_sql_df_slow_iter),
   admission control (50K CID limit for non-MSD), cache skip for large queries,
   early memory release with gc.collect()

2. trace-async-job-queue: RQ-based async jobs for queries >20K CIDs,
   separate worker process with isolated memory, frontend polling via
   useTraceProgress composable, systemd service + deploy scripts

3. trace-streaming-response: chunked Redis storage (TRACE_STREAM_BATCH_SIZE=5000),
   NDJSON stream endpoint (GET /api/trace/job/<id>/stream), frontend
   ReadableStream consumer for progressive rendering, backward-compatible
   with legacy single-key storage

All three proposals archived. 1101 tests pass, frontend builds clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

deploy/mes-dashboard-trace-worker.service

@@ -0,0 +1,37 @@
+[Unit]
+Description=MES Dashboard Trace Worker (RQ, Conda Runtime)
+Documentation=https://github.com/your-org/mes-dashboard
+After=network.target redis-server.service
+Requires=redis-server.service
+
+[Service]
+Type=simple
+User=www-data
+Group=www-data
+WorkingDirectory=/opt/mes-dashboard
+EnvironmentFile=-/opt/mes-dashboard/.env
+Environment="PYTHONPATH=/opt/mes-dashboard/src"
+
+ExecStart=/usr/bin/env bash -lc 'exec "${CONDA_BIN:-/opt/miniconda3/bin/conda}" run --no-capture-output -n "${CONDA_ENV_NAME:-mes-dashboard}" rq worker "${TRACE_WORKER_QUEUE:-trace-events}" --url "${REDIS_URL:-redis://localhost:6379/0}"'
+
+KillSignal=SIGTERM
+TimeoutStopSec=60
+Restart=always
+RestartSec=10
+
+StandardOutput=journal
+StandardError=journal
+SyslogIdentifier=mes-dashboard-trace-worker
+
+# Memory protection: trace worker handles large queries independently.
+# MemoryMax prevents single large job from killing the VM.
+MemoryHigh=3G
+MemoryMax=4G
+
+NoNewPrivileges=yes
+PrivateTmp=yes
+ProtectSystem=strict
+ReadWritePaths=/opt/mes-dashboard/logs
+
+[Install]
+WantedBy=multi-user.target