perf(bq): pool DuckDB BQ extension sessions to amortize INSTALL/LOAD/ATTACH cost
Each BqAccess.duckdb_session() acquire previously created a fresh
in-memory DuckDB conn and ran INSTALL bigquery; LOAD bigquery;
CREATE SECRET; ATTACH on it -- costing ~0.5 s per request even before
any BQ work. Add a process-local pool (deque + lock) of pre-warmed
sessions; acquire reuses a warm entry when available, refreshing the
auth SECRET so a long-lived pool entry doesn't keep a stale GCE
metadata token past its TTL. Liveness probe (cheap SELECT 1) drops
broken entries before handing them to callers.
On exception inside the with-block the conn is closed instead of
returned to pool (session may carry dirty state). Pool size is
data_source.bigquery.session_pool_size (default 4; sentinel 0
disables pooling). Process-cached, not fork-safe (single uvicorn
worker is the supported deployment shape per CLAUDE.md).
All call sites get faster automatically: /api/query, /api/v2/{scan,
sample,schema}, materialize, the orchestrator's remote-attach, and
the BQ dry-run cap-guard.
This commit is contained in:
parent
b2c1ff143c
commit
83209f32b0
4 changed files with 466 additions and 28 deletions
13
CHANGELOG.md
13
CHANGELOG.md
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@ -10,6 +10,19 @@ CalVer image tags (`stable-YYYY.MM.N`, `dev-YYYY.MM.N`) are produced for every C
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## [Unreleased]
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### Performance
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- **DuckDB BigQuery-extension session pool**
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(`connectors/bigquery/access.py`). `BqAccess.duckdb_session()` now acquires
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pre-warmed connections from a bounded process-local pool instead of running
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`INSTALL bigquery; LOAD bigquery; CREATE SECRET; ATTACH …` on every request.
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Each acquire saves the ~0.5 s extension-load + secret-creation cost when
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the pool has a warm entry; auth SECRET is refreshed on acquire so a
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long-lived pooled entry doesn't keep a stale GCE metadata token past its
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TTL. Pool size is configurable via `data_source.bigquery.session_pool_size`
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(default 4; sentinel `0` disables pooling). Affects every BQ-touching path
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— `/api/query`, `/api/v2/scan`, `/api/v2/sample`, `/api/v2/schema`,
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materialize, and the orchestrator's remote-attach.
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### Fixed
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- **`/api/query` (and `agnes query --remote`) now rewrites user SQL referencing
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`query_mode='remote'` BigQuery rows into a single `bigquery_query()` call
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@ -135,6 +135,13 @@ data_source:
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# # view-backed datasets -- bumped to 600 000 ms = 10 min by default.
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# # Set 0 to fall through to the extension default. Configurable via
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# # /admin/server-config UI.
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# session_pool_size: 4
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# # Number of pre-warmed DuckDB+bigquery-extension sessions kept
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# # in a process-local pool. Each acquire amortizes the
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# # ~0.5 s INSTALL/LOAD/CREATE-SECRET cost across requests; a fresh
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# # build only happens when the pool is empty. Default 4. Set 0
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# # to disable pooling (every acquire builds + closes a fresh
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# # session; matches pre-pool behavior).
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# --- OpenMetadata catalog (optional) ---
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# Enriches table and column metadata from OpenMetadata REST API.
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@ -8,6 +8,8 @@ from __future__ import annotations
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import functools
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import logging
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import threading
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from collections import deque
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from contextlib import contextmanager
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from dataclasses import dataclass
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from typing import Callable, Iterator, Literal
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@ -196,15 +198,40 @@ def _default_client_factory(projects: BqProjects):
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)
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@contextmanager
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def _default_duckdb_session_factory(projects: BqProjects):
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"""Yield an in-memory DuckDB conn with bigquery extension loaded + SECRET set
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from get_metadata_token(). Auto-cleanup. Translates auth/install failures
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to BqAccessError(kind='auth_failed' or 'bq_lib_missing').
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def _default_pool_size() -> int:
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"""Resolve the BQ DuckDB-extension session pool size from instance.yaml.
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Note: `projects.billing` is not used by this factory directly — bigquery_query()
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callers pass it themselves as the first positional arg to identify the billing
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project. The factory keeps the parameter for symmetry with _default_client_factory.
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Reads ``data_source.bigquery.session_pool_size`` (default 4). Sentinel
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``0`` disables pooling (every acquire builds + closes a fresh session;
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matches pre-pool behavior). Negative / non-numeric values fall back to
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the default — the pool is a perf optimization, not a correctness
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boundary, so an unparseable config shouldn't fail-stop the app.
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"""
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try:
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from app.instance_config import get_value
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except Exception:
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return 4
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raw = get_value("data_source", "bigquery", "session_pool_size", default=4)
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try:
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n = int(raw) if raw is not None else 4
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except (TypeError, ValueError):
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logger.warning(
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"BQ session_pool_size=%r is not an int; falling back to default 4",
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raw,
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)
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return 4
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if n < 0:
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return 4
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return n
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def _build_fresh_bq_session():
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"""Build a single fresh in-memory DuckDB conn with the bigquery extension
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INSTALL/LOAD'd, the auth SECRET created from get_metadata_token(), and
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per-session settings applied. Translates auth / install failures to
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BqAccessError. Caller owns the close.
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Used internally by the pool; also used directly when pooling is disabled.
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"""
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import duckdb # type: ignore
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from connectors.bigquery.auth import get_metadata_token, BQMetadataAuthError
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@ -219,7 +246,6 @@ def _default_duckdb_session_factory(projects: BqProjects):
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)
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conn = duckdb.connect(":memory:")
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try:
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try:
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conn.execute("INSTALL bigquery FROM community; LOAD bigquery;")
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escaped = token.replace("'", "''")
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@ -227,15 +253,154 @@ def _default_duckdb_session_factory(projects: BqProjects):
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f"CREATE OR REPLACE SECRET bq_s (TYPE bigquery, ACCESS_TOKEN '{escaped}')"
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)
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except Exception as e:
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# Build failed — must close the half-initialised conn, otherwise it
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# leaks across the pool's lifetime.
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try:
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conn.close()
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except Exception:
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pass
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raise BqAccessError(
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"bq_lib_missing",
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f"failed to install/load BigQuery DuckDB extension: {e}",
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details={"original": str(e)},
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)
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apply_bq_session_settings(conn)
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return conn
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def _refresh_bq_secret(conn) -> None:
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"""Refresh the auth SECRET on a pooled connection so token rotation
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(default GCE metadata token TTL ~1 hr) doesn't break long-lived
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pooled entries.
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Cheap when the token cache is warm (a few µs). Failures are
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non-fatal here — the pool's liveness probe + per-acquire build
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fallback will catch genuinely-broken entries.
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"""
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from connectors.bigquery.auth import get_metadata_token
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try:
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token = get_metadata_token()
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escaped = token.replace("'", "''")
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conn.execute(
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f"CREATE OR REPLACE SECRET bq_s (TYPE bigquery, ACCESS_TOKEN '{escaped}')"
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)
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except Exception as e:
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# Bubble up so the pool drops this entry and rebuilds.
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raise BqAccessError(
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"auth_failed",
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f"could not refresh BQ secret on pooled session: {e}",
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details={"original": str(e)},
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)
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def _is_pool_entry_alive(conn) -> bool:
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"""Cheap liveness probe — `SELECT 1`. Returns False on any error so
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the pool reaper drops the entry and builds a fresh one."""
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try:
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result = conn.execute("SELECT 1").fetchone()
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return result is not None and result[0] == 1
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except Exception:
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return False
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# Module-level pool state. Process-cached (mirrors get_bq_access's lifetime).
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# Not fork-safe — single uvicorn worker process is the supported deployment
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# shape per CLAUDE.md.
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_pool: deque = deque()
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_pool_lock = threading.Lock()
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def _reset_session_pool_for_tests() -> None:
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"""Drop and close every pooled entry. Test helper — production code
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should not call this. Exposed so test fixtures + the existing
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test_bq_access tests can pin pre-test pool state to empty."""
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with _pool_lock:
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while _pool:
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entry = _pool.popleft()
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try:
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entry.close()
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except Exception:
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pass
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@contextmanager
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def _default_duckdb_session_factory(projects: BqProjects):
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"""Yield a pooled in-memory DuckDB conn with bigquery extension loaded
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+ SECRET set from get_metadata_token(). Translates auth / install
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failures to BqAccessError(kind='auth_failed' or 'bq_lib_missing').
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Pooling: amortizes the ~0.5 s INSTALL/LOAD/ATTACH cost across requests
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by keeping pre-warmed connections in a bounded deque. Acquire reuses
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an existing entry when available (refreshing its auth SECRET so
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token rotation doesn't break long-lived entries) and probes liveness
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cheaply via ``SELECT 1`` before handing it to the caller. On normal
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exit the connection returns to the pool; on exception it's closed
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instead (the underlying session may carry dirty state).
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Pool size is ``data_source.bigquery.session_pool_size`` (default 4;
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sentinel ``0`` disables pooling entirely, matching pre-pool
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behavior). Process-cached, not fork-safe.
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Note: `projects.billing` is not used by this factory directly — bigquery_query()
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callers pass it themselves as the first positional arg to identify the billing
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project. The factory keeps the parameter for symmetry with _default_client_factory.
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"""
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pool_size = _default_pool_size()
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# Acquire: prefer a warm entry, fall back to fresh build.
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conn = None
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if pool_size > 0:
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while True:
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with _pool_lock:
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entry = _pool.popleft() if _pool else None
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if entry is None:
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break
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if not _is_pool_entry_alive(entry):
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# Reaper: drop broken entries.
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try:
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entry.close()
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except Exception:
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pass
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continue
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try:
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# Refresh the auth SECRET so a long-lived pool entry
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# doesn't keep a stale token past its TTL. Cheap when
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# the token cache is warm.
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_refresh_bq_secret(entry)
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except BqAccessError:
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try:
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entry.close()
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except Exception:
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pass
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continue
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conn = entry
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break
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if conn is None:
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conn = _build_fresh_bq_session()
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try:
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yield conn
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finally:
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except Exception:
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# Caller saw an exception — the conn may be in a dirty state.
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# Don't return to pool; close to release native resources.
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try:
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conn.close()
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except Exception:
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pass
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raise
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else:
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# Normal exit — return to pool if there's room.
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if pool_size > 0:
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with _pool_lock:
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if len(_pool) < pool_size:
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_pool.append(conn)
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return
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# Pool disabled or full — close.
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try:
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conn.close()
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except Exception:
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pass
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def apply_bq_session_settings(conn) -> None:
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@ -1,5 +1,6 @@
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"""Tests for connectors/bigquery/access.py — the BqAccess facade."""
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import pytest
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import threading
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class TestBqProjects:
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@ -208,8 +209,21 @@ class TestDefaultClientFactory:
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class TestDefaultDuckdbSessionFactory:
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def test_yields_duckdb_conn_with_secret_then_closes(self, monkeypatch):
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from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
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def test_yields_duckdb_conn_with_secret_set_via_pool(self, monkeypatch):
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"""The pool's first acquire on an empty pool runs the full
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INSTALL/LOAD/SECRET sequence. After the with-block exits the
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connection is RETURNED to the pool (not closed) so the next
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acquire amortizes the extension-load cost.
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Pre-pool semantics (close-on-exit) are preserved on broken
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entries + on the explicit pool-reset path; covered in
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TestBqSessionPool.
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"""
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from connectors.bigquery.access import (
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_default_duckdb_session_factory, BqProjects,
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_reset_session_pool_for_tests,
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)
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_reset_session_pool_for_tests()
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executed_sql = []
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@ -218,7 +232,10 @@ class TestDefaultDuckdbSessionFactory:
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self.closed = False
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def execute(self, sql, params=None):
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executed_sql.append((sql, params))
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return self
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class _Result:
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def fetchone(self_inner):
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return (1,)
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return _Result()
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def close(self):
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self.closed = True
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@ -228,19 +245,36 @@ class TestDefaultDuckdbSessionFactory:
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with _default_duckdb_session_factory(BqProjects(billing="b", data="d")) as conn:
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assert conn is fake_conn
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assert fake_conn.closed is True
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# Pool retains the conn — close happens at pool reset / shutdown.
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assert fake_conn.closed is False
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# Verify INSTALL/LOAD/SECRET sequence ran
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assert any("INSTALL bigquery" in sql for sql, _ in executed_sql)
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assert any("LOAD bigquery" in sql for sql, _ in executed_sql)
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assert any("CREATE OR REPLACE SECRET" in sql and "tok123" in sql for sql, _ in executed_sql)
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# Explicit pool reset closes the retained entry.
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_reset_session_pool_for_tests()
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assert fake_conn.closed is True
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def test_closes_on_exception_inside_with_block(self, monkeypatch):
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from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
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"""Exceptions inside the with-block leave the underlying conn in
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an unknown state (half-completed query, dirty session); the pool
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treats it as broken and closes it rather than returning to pool.
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"""
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from connectors.bigquery.access import (
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_default_duckdb_session_factory, BqProjects,
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_reset_session_pool_for_tests,
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)
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_reset_session_pool_for_tests()
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class FakeConn:
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closed = False
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def execute(self, *a, **kw): return self
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def execute(self, *a, **kw):
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class _Result:
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def fetchone(self_inner):
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return (1,)
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return _Result()
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def close(self): self.closed = True
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fake_conn = FakeConn()
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@ -449,3 +483,222 @@ class TestGetBqAccess:
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assert a is b
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assert isinstance(a, BqAccess)
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assert a.projects.billing == ""
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# ---------------------------------------------------------------------------
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# DuckDB BQ-extension session pool — amortizes the ~0.5 s INSTALL/LOAD/ATTACH
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# cost across requests by keeping pre-warmed DuckDB connections in a
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# bounded pool. Each acquire reuses an existing connection (refreshing the
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# auth SECRET so token rotation doesn't break long-lived entries) instead
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# of spinning up a fresh DuckDB+extension load every time.
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# ---------------------------------------------------------------------------
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class _PoolFakeConn:
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"""Fake DuckDB connection that records executed SQL and supports
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``close()``. Used across pool tests so we can pin behavior without
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booting the real BigQuery extension."""
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_serial = 0
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def __init__(self):
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type(self)._serial += 1
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self.id = type(self)._serial
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self.closed = False
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self.executed: list[str] = []
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def execute(self, sql, params=None):
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self.executed.append(sql)
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# Liveness probe: SELECT 1 returns something fetchable.
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class _Result:
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def fetchone(self_inner):
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return (1,)
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def fetchall(self_inner):
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return [(1,)]
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return _Result()
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def close(self):
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self.closed = True
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@pytest.fixture
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def reset_pool(monkeypatch):
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"""Reset the BQ session pool singleton between tests so leak-detection
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assertions don't carry state."""
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from connectors.bigquery import access as bq_access_mod
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if hasattr(bq_access_mod, "_reset_session_pool_for_tests"):
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bq_access_mod._reset_session_pool_for_tests()
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monkeypatch.setattr(
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"connectors.bigquery.auth.get_metadata_token",
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lambda: "tok-pool",
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)
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yield
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if hasattr(bq_access_mod, "_reset_session_pool_for_tests"):
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bq_access_mod._reset_session_pool_for_tests()
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class TestBqSessionPool:
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def test_pool_reuses_connections_across_acquires(self, monkeypatch, reset_pool):
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"""Acquiring a session, releasing, then acquiring again must return
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the SAME underlying DuckDB connection — no INSTALL/LOAD overhead on
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the second request. This is the whole point of the pool."""
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from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
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# Each duckdb.connect() yields a fresh _PoolFakeConn so we can tell
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# them apart by id.
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connections_made = []
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def fake_connect(_path):
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c = _PoolFakeConn()
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connections_made.append(c)
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return c
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monkeypatch.setattr("duckdb.connect", fake_connect)
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# First acquire: pool is empty, factory builds a new entry.
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with _default_duckdb_session_factory(BqProjects(billing="b", data="d")) as conn1:
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id1 = conn1.id
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# Second acquire: pool has a warm entry, must hand back the same conn.
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with _default_duckdb_session_factory(BqProjects(billing="b", data="d")) as conn2:
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id2 = conn2.id
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assert id1 == id2, (
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"expected the same pooled connection across two acquires; "
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f"got id1={id1}, id2={id2}"
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)
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# And we must NOT have re-INSTALLed/LOADed the extension on reuse —
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# only one duckdb.connect() call ever happened.
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assert len(connections_made) == 1, (
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f"pool re-built the conn on second acquire; created {len(connections_made)}"
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)
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def test_pool_size_is_configurable(self, monkeypatch, reset_pool):
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"""``data_source.bigquery.session_pool_size`` controls the upper
|
||||
bound on warm entries. Above the cap, releasing extra entries
|
||||
closes them rather than retaining."""
|
||||
from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
|
||||
|
||||
def fake_get_value(*keys, default=None):
|
||||
if keys == ("data_source", "bigquery", "session_pool_size"):
|
||||
return 2 # tiny pool
|
||||
if keys == ("data_source", "bigquery", "query_timeout_ms"):
|
||||
return 0 # don't try to SET timeout in tests
|
||||
return default
|
||||
|
||||
monkeypatch.setattr("app.instance_config.get_value", fake_get_value)
|
||||
monkeypatch.setattr("duckdb.connect", lambda _: _PoolFakeConn())
|
||||
|
||||
# Acquire 3 in parallel to force 3 simultaneous entries.
|
||||
cm1 = _default_duckdb_session_factory(BqProjects(billing="b", data="d"))
|
||||
c1 = cm1.__enter__()
|
||||
cm2 = _default_duckdb_session_factory(BqProjects(billing="b", data="d"))
|
||||
c2 = cm2.__enter__()
|
||||
cm3 = _default_duckdb_session_factory(BqProjects(billing="b", data="d"))
|
||||
c3 = cm3.__enter__()
|
||||
|
||||
# Release all three. The 3rd release should close the conn since
|
||||
# the pool already has 2.
|
||||
cm1.__exit__(None, None, None)
|
||||
cm2.__exit__(None, None, None)
|
||||
cm3.__exit__(None, None, None)
|
||||
|
||||
# At least one of the three connections must be closed (pool overflow).
|
||||
closed_count = sum(1 for c in (c1, c2, c3) if c.closed)
|
||||
assert closed_count >= 1, (
|
||||
"pool retained more than its configured size; expected at least "
|
||||
f"one close. closed_count={closed_count}"
|
||||
)
|
||||
# Pool retained at most `size` entries, so total live + closed = 3,
|
||||
# closed >= 1 means pool size <= 2.
|
||||
assert closed_count == 1
|
||||
|
||||
def test_pool_replaces_broken_connection(self, monkeypatch, reset_pool):
|
||||
"""If a pooled entry's liveness check fails on acquire (the
|
||||
underlying DuckDB conn was closed externally, BQ extension state
|
||||
corrupted, etc.), the pool must drop it and build a fresh entry —
|
||||
not hand the broken one to the caller."""
|
||||
from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
|
||||
|
||||
# First acquire creates entry #1; we'll then mark it broken.
|
||||
all_conns: list[_PoolFakeConn] = []
|
||||
def fake_connect(_path):
|
||||
c = _PoolFakeConn()
|
||||
all_conns.append(c)
|
||||
return c
|
||||
monkeypatch.setattr("duckdb.connect", fake_connect)
|
||||
|
||||
with _default_duckdb_session_factory(BqProjects(billing="b", data="d")) as conn1:
|
||||
id1 = conn1.id
|
||||
# Simulate corruption: make execute() raise on next call.
|
||||
def broken_execute(*a, **kw):
|
||||
raise RuntimeError("connection broken")
|
||||
conn1.execute = broken_execute # type: ignore[assignment]
|
||||
|
||||
# Second acquire must skip the broken entry and build a fresh one.
|
||||
with _default_duckdb_session_factory(BqProjects(billing="b", data="d")) as conn2:
|
||||
id2 = conn2.id
|
||||
|
||||
assert id1 != id2, (
|
||||
f"expected a fresh conn after broken-pool reaper; both acquires "
|
||||
f"returned id={id1}"
|
||||
)
|
||||
assert len(all_conns) >= 2
|
||||
|
||||
def test_pool_handles_reentrant_acquires_thread_safe(self, monkeypatch, reset_pool):
|
||||
"""Concurrent acquires from multiple threads must never hand the
|
||||
same underlying DuckDB conn to two threads at once. The pool's
|
||||
lock acquires/releases are the load-bearing invariant here.
|
||||
"""
|
||||
from connectors.bigquery.access import _default_duckdb_session_factory, BqProjects
|
||||
|
||||
monkeypatch.setattr("duckdb.connect", lambda _: _PoolFakeConn())
|
||||
|
||||
active_ids: set = set()
|
||||
active_lock = threading.Lock()
|
||||
violations: list = []
|
||||
|
||||
def worker():
|
||||
for _ in range(20):
|
||||
with _default_duckdb_session_factory(
|
||||
BqProjects(billing="b", data="d"),
|
||||
) as conn:
|
||||
with active_lock:
|
||||
if conn.id in active_ids:
|
||||
violations.append(conn.id)
|
||||
active_ids.add(conn.id)
|
||||
# Hold briefly to give other threads a chance to race.
|
||||
time.sleep(0.001)
|
||||
with active_lock:
|
||||
active_ids.discard(conn.id)
|
||||
|
||||
import time
|
||||
threads = [threading.Thread(target=worker) for _ in range(4)]
|
||||
for t in threads:
|
||||
t.start()
|
||||
for t in threads:
|
||||
t.join()
|
||||
|
||||
assert not violations, (
|
||||
f"pool handed the same conn to multiple threads concurrently: "
|
||||
f"{violations}"
|
||||
)
|
||||
|
||||
def test_pool_does_not_apply_when_factory_is_injected(self, monkeypatch, reset_pool):
|
||||
"""Test fixtures that inject a custom ``duckdb_session_factory``
|
||||
(e.g. tests/conftest.py's ``bq_access`` fixture) MUST bypass the
|
||||
pool entirely — otherwise their nullcontext-wrapped fake would
|
||||
get retained between tests and corrupt downstream assertions.
|
||||
"""
|
||||
from connectors.bigquery.access import BqAccess, BqProjects
|
||||
from contextlib import contextmanager
|
||||
|
||||
sentinel = object()
|
||||
|
||||
@contextmanager
|
||||
def custom_factory(_projects):
|
||||
yield sentinel
|
||||
|
||||
bq = BqAccess(
|
||||
BqProjects(billing="b", data="d"),
|
||||
duckdb_session_factory=custom_factory,
|
||||
)
|
||||
with bq.duckdb_session() as conn:
|
||||
assert conn is sentinel
|
||||
|
|
|
|||
Loading…
Reference in a new issue