mirror of
https://github.com/fawney19/Aether.git
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69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
"""add usage table composite indexes for query optimization
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Revision ID: b2c3d4e5f6g7
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Revises: a1b2c3d4e5f6
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Create Date: 2025-12-20 15:00:00.000000+00:00
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"""
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from alembic import op
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from sqlalchemy import inspect, text
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# revision identifiers, used by Alembic.
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revision = 'b2c3d4e5f6g7'
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down_revision = 'a1b2c3d4e5f6'
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branch_labels = None
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depends_on = None
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def index_exists(table_name: str, index_name: str) -> bool:
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"""检查索引是否存在"""
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bind = op.get_bind()
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inspector = inspect(bind)
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indexes = [idx['name'] for idx in inspector.get_indexes(table_name)]
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return index_name in indexes
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def upgrade() -> None:
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"""为 usage 表添加复合索引以优化常见查询
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使用 CONCURRENTLY 创建索引以避免锁表，
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但需要在 AUTOCOMMIT 模式下执行（不能在事务内）
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"""
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conn = op.get_bind()
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engine = conn.engine
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# 使用新连接并设置 AUTOCOMMIT 模式以支持 CREATE INDEX CONCURRENTLY
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with engine.connect().execution_options(isolation_level="AUTOCOMMIT") as autocommit_conn:
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# 1. user_id + created_at 复合索引 (用户用量查询)
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if not index_exists('usage', 'idx_usage_user_created'):
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autocommit_conn.execute(text(
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"CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_usage_user_created "
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"ON usage (user_id, created_at)"
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))
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# 2. api_key_id + created_at 复合索引 (API Key 用量查询)
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if not index_exists('usage', 'idx_usage_apikey_created'):
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autocommit_conn.execute(text(
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"CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_usage_apikey_created "
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"ON usage (api_key_id, created_at)"
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))
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# 3. provider + model + created_at 复合索引 (模型统计查询)
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if not index_exists('usage', 'idx_usage_provider_model_created'):
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autocommit_conn.execute(text(
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"CREATE INDEX CONCURRENTLY IF NOT EXISTS idx_usage_provider_model_created "
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"ON usage (provider, model, created_at)"
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))
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def downgrade() -> None:
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"""删除复合索引"""
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if index_exists('usage', 'idx_usage_provider_model_created'):
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op.drop_index('idx_usage_provider_model_created', table_name='usage')
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if index_exists('usage', 'idx_usage_apikey_created'):
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op.drop_index('idx_usage_apikey_created', table_name='usage')
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if index_exists('usage', 'idx_usage_user_created'):
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op.drop_index('idx_usage_user_created', table_name='usage')
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