perf(metrics): index plugin_metrics for host/dashboard reads
plugin_metrics had only a PK on id, so every host-detail, full-metrics, and dashboard-widget load sequentially scanned the entire time-series table — which grows by (sources × resources × sample cadence), so the host views got slower over time (operator-reported "blocked/slow" loads). monitor_results was already indexed, so the uptime aggregation wasn't the bottleneck. Add two composite indexes matching the hot query shapes: - (source_module, resource_name, recorded_at) — history range scans, fleet/ widget queries, and the 'host:%' sub-resource prefix. - (source_module, resource_name, metric_name, recorded_at) — the latest-value- per-metric group-by/self-join. Model __table_args__ + core migration 0023. Integration lane validates the migration via `alembic upgrade head`. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
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@@ -1,7 +1,7 @@
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from __future__ import annotations
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import uuid
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from datetime import datetime, timezone
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from sqlalchemy import DateTime, Float, String
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from sqlalchemy import DateTime, Float, Index, String
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from sqlalchemy.orm import Mapped, mapped_column
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from .base import Base
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@@ -17,3 +17,14 @@ class PluginMetric(Base):
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recorded_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), nullable=False, default=lambda: datetime.now(timezone.utc)
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)
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# This time-series table grows by (sources × resources × sample cadence); every
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# host-detail / full-metrics / dashboard-widget read filters by
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# (source_module, resource_name) over a recorded_at range. Without these it's a
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# full sequential scan on every load.
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__table_args__ = (
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Index("ix_plugin_metrics_module_resource_recorded",
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"source_module", "resource_name", "recorded_at"),
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Index("ix_plugin_metrics_module_resource_metric_recorded",
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"source_module", "resource_name", "metric_name", "recorded_at"),
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)
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