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Create 0027_user_logs_agent_lookup_idx.py
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"""0027 index the per-agent log lookups so /api/get_user_logs stops timing out.
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The per-agent Logs timeline filters ``user_logs`` on two JSONB keys
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(``data->>'api_key'`` / ``data->>'agent_id'``) and ``stack_logs`` on
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``(agent_id OR api_key)``. None of those had a usable index, so both branches
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seq-scanned.
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``user_logs`` is the expensive one, and not for the obvious reason: its heap is
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only ~107 MB but ``data`` is a ~1.16 GB TOAST, and filtering on a JSONB key
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forces a detoast of *every* row. Measured on prod (99,535 rows): **618,809
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buffer accesses to return 6,012 rows — 4.5 s warm, >90 s cold**, against a 30 s
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``STATEMENT_TIMEOUT_MS``. That warm/cold spread is why the endpoint failed
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intermittently rather than always. (``stack_logs`` seq-scans too but stays
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~38 ms: its filter columns live in the heap, so its own 1.9 GB TOAST is never
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touched.)
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The two expression indexes turn that detoast scan into a direct lookup. They
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also give the planner statistics on the expressions, which it badly lacked —
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it estimated 974 rows where the truth was 6,012.
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``stack_logs (api_key)`` matters for a subtler reason: 0026 added
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``ix_stack_logs_agent_id`` and it works well in isolation (1,759 buffers /
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11.6 ms), but the query ORs it against the unindexed ``api_key`` and Postgres
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cannot BitmapOr when only one side is indexed — so the new index was being
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bypassed entirely. Indexing the second arm is what actually activates it.
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Indexes are built ``CONCURRENTLY`` in autocommit blocks (following 0018): a
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plain CREATE INDEX would take an ACCESS EXCLUSIVE lock on a 1.3 GB table on a
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live database. The ``user_logs`` builds each detoast the full ~1.16 GB once, so
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they are not instant; CONCURRENTLY keeps them non-blocking. Idempotent both
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ways.
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Revision ID: 0027_user_logs_agent_lookup_idx
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Revises: 0026_stack_logs_agent_id
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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: str = "0027_user_logs_agent_lookup_idx"
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down_revision: Union[str, None] = "0026_stack_logs_agent_id"
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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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# Partial: only rows that actually carry the key are ever looked up by it, and
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# most user_logs rows (owner chats) carry neither, so this keeps the indexes
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# small without changing which rows they can answer for.
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_INDEXES = (
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(
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"user_logs_data_api_key_idx",
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"user_logs ((data->>'api_key'))",
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"(data->>'api_key') IS NOT NULL",
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),
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(
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"user_logs_data_agent_id_idx",
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"user_logs ((data->>'agent_id'))",
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"(data->>'agent_id') IS NOT NULL",
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),
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(
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"stack_logs_api_key_idx",
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"stack_logs (api_key)",
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"api_key IS NOT NULL",
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),
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)
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def upgrade() -> None:
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# CONCURRENTLY can't run inside a transaction; the autocommit block lets
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# each build run without locking out writers on a multi-GB live table.
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for name, target, predicate in _INDEXES:
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with op.get_context().autocommit_block():
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op.execute(
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f"CREATE INDEX CONCURRENTLY IF NOT EXISTS {name} "
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f"ON {target} WHERE {predicate};"
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)
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def downgrade() -> None:
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for name, _target, _predicate in reversed(_INDEXES):
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with op.get_context().autocommit_block():
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op.execute(f"DROP INDEX CONCURRENTLY IF EXISTS {name};")
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