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rusackasandClaude Opus 4.8
cd2638e27c
- drop `db2` from the `testcontainers[...]` extra in development.in/.txt: it transitively pulls `ibm-db-sa`/`ibm-db` into the baseline dev lockfile, which has no Linux arm64 wheel and breaks the multi-platform dev Docker image build; the db2 CI leg already installs it on demand separately. - mariadb: preserve a remote Docker daemon's real host, only rewrite the literal "localhost" case to 127.0.0.1. - testcontainers.yml: widen pull_request paths to superset/db_engine_specs/**, pyproject.toml, and the requirements manifests so a driver/lockfile-only change can't bypass this coverage. - mongodb: use Core `select(...).limit().offset()` instead of a literal SQL string, so the pagination test actually exercises the dialect's own compilation. - monetdb/mongodb/yugabytedb: assert generic_type/sqla_type on the mapped column spec, not just that a spec was returned. - monetdb: wait for the exposed port (not just a log line that predates `monetdbd start -n`) before considering the container ready. - timescaledb: pin the image to a specific tag instead of the mutable `latest-pg16`. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""
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Tests db_engine_specs.timescaledb against a real TimescaleDB instance,
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spun up on demand via testcontainers. Run via
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.github/workflows/testcontainers.yml -- these exercise real SQL execution
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and dialect introspection, which mocked unit tests structurally cannot.
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TimescaleDB is a genuine Postgres extension, not a fork: connects via the
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plain "postgresql" dialect with psycopg2, same as vanilla Postgres, just
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pointed at the timescale/timescaledb image instead of postgres:latest.
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"""
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from collections.abc import Iterator
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import pytest
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from sqlalchemy import (
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Column,
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create_engine,
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inspect,
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Integer,
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MetaData,
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Table as SATable,
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)
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from sqlalchemy.engine import Engine
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from superset.db_engine_specs.timescaledb import TimescaleDBEngineSpec
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from superset.sql.parse import Table
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from superset.utils.core import GenericDataType
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pytestmark = pytest.mark.testcontainers
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from ._driver import require_driver # noqa: E402
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require_driver("testcontainers.community.postgres")
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from testcontainers.community.postgres import PostgresContainer # noqa: E402
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from ._pagination import ( # noqa: E402
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assert_paginated_query_returns_correct_rows_in_order,
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)
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@pytest.fixture(scope="module")
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def engine() -> Iterator[Engine]:
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with PostgresContainer("timescale/timescaledb:2.29.2-pg16") as container:
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yield create_engine(container.get_connection_url())
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def test_paginated_query_returns_correct_rows_in_order(engine: Engine) -> None:
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"""
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A plain SQLAlchemy Core LIMIT/OFFSET query, compiled and executed against
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a real instance. Mocked tests cannot catch a dialect compiling this
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incorrectly (see apache/superset#42899, where Trino emitted OFFSET
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before LIMIT) -- only real execution can.
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"""
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assert_paginated_query_returns_correct_rows_in_order(engine)
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def test_get_columns_maps_native_types(engine: Engine) -> None:
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"""
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TimescaleDBEngineSpec.get_columns wraps a real SQLAlchemy Inspector;
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this exercises that against actual server-reported column metadata
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rather than a mocked Inspector.
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"""
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metadata = MetaData()
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SATable(
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"pilot_types",
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metadata,
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Column("id", Integer, primary_key=True),
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Column("amount", Integer),
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)
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metadata.create_all(engine)
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inspector = inspect(engine)
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columns = TimescaleDBEngineSpec.get_columns(inspector, Table("pilot_types"))
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by_name = {col["column_name"]: col for col in columns}
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assert set(by_name) == {"id", "amount"}
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for col in by_name.values():
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spec = TimescaleDBEngineSpec.get_column_spec(str(col["type"]))
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assert spec is not None
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assert spec.generic_type == GenericDataType.NUMERIC
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assert isinstance(spec.sqla_type, Integer)
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