perf(analytics): analytics_event 活跃口径复合索引 (event,page,user_id,created_at)
active_event_condition 按 (event=show & page=home) ∪ 比价 ∪ 领券 过滤后 group by user_id、 max(created_at),是 worker 清零/预警 + admin 最近活跃的热点聚合;page 原无索引、show 又高频。 加覆盖索引 ix_analytics_event_active 让该聚合走 index-only。 ⚠️ 分支迁移树既有多头(135e79414fd0 与 phone_rebind_log 同从 comparison_llm_cost 分叉, `alembic upgrade head` 会多头报错)——既有问题、与本次无关。本迁移挂在 135e79414fd0 一侧, dev 用 `alembic upgrade analytics_active_idx` 应用;集成 main 时需 alembic merge 合并 phone_rebind_log 头。 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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"""analytics_event 活跃口径复合索引
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Revision ID: analytics_active_idx
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Revises: 135e79414fd0
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Create Date: 2026-07-18 17:35:00.000000
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给 analytics_event 加活跃口径热点复合索引 (event, page, user_id, created_at):
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activity.active_event_condition 按 (event=show & page=home) ∪ 比价 ∪ 领券 过滤后
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group by user_id、max(created_at)。覆盖索引让该聚合走 index-only,避免高频 show 事件全表扫。
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⚠️ 本分支迁移树有**既有多头**:135e79414fd0(不活跃两表)与 phone_rebind_log 同从
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comparison_llm_cost 分叉,`alembic upgrade head` 会多头报错。本迁移挂在 135e79414fd0
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一侧;集成到 main 时需 `alembic merge` 合并 phone_rebind_log 那个头(与本迁移无关的既有问题)。
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"""
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from typing import Sequence, Union
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from alembic import op
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# revision identifiers, used by Alembic.
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revision: str = "analytics_active_idx"
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down_revision: Union[str, Sequence[str], None] = "135e79414fd0"
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branch_labels: Union[str, Sequence[str], None] = None
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depends_on: Union[str, Sequence[str], None] = None
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def upgrade() -> None:
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op.create_index(
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"ix_analytics_event_active",
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"analytics_event",
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["event", "page", "user_id", "created_at"],
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unique=False,
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)
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def downgrade() -> None:
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op.drop_index("ix_analytics_event_active", table_name="analytics_event")
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@@ -15,7 +15,7 @@ from __future__ import annotations
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from datetime import datetime
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from sqlalchemy import JSON, BigInteger, DateTime, Integer, String, func
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from sqlalchemy import JSON, BigInteger, DateTime, Index, Integer, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from app.db.base import Base
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@@ -23,6 +23,12 @@ from app.db.base import Base
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class AnalyticsEvent(Base):
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__tablename__ = "analytics_event"
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__table_args__ = (
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# 活跃口径聚合热点(activity.active_event_condition + last_active_subqueries):
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# 按 (event,page) 过滤 首页可见(show/home)∪比价∪领券,再 group by user_id 取
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# max(created_at)。覆盖索引 → 该聚合走 index-only,避免高频 show 事件全表扫。
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Index("ix_analytics_event_active", "event", "page", "user_id", "created_at"),
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)
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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