diff --git a/.github/.OwlBot.lock.yaml b/.github/.OwlBot.lock.yaml
index 40bf9973..d8a1bbca 100644
--- a/.github/.OwlBot.lock.yaml
+++ b/.github/.OwlBot.lock.yaml
@@ -1,4 +1,4 @@
-# Copyright 2023 Google LLC
+# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
@@ -13,5 +13,5 @@
# limitations under the License.
docker:
image: gcr.io/cloud-devrel-public-resources/owlbot-python:latest
- digest: sha256:230f7fe8a0d2ed81a519cfc15c6bb11c5b46b9fb449b8b1219b3771bcb520ad2
-# created: 2023-12-09T15:16:25.430769578Z
+ digest: sha256:5ea6d0ab82c956b50962f91d94e206d3921537ae5fe1549ec5326381d8905cfa
+# created: 2024-01-15T16:32:08.142785673Z
diff --git a/.github/sync-repo-settings.yaml b/.github/sync-repo-settings.yaml
index 68af1253..38bd545c 100644
--- a/.github/sync-repo-settings.yaml
+++ b/.github/sync-repo-settings.yaml
@@ -14,6 +14,8 @@ branchProtectionRules:
- 'Samples - Python 3.8'
- 'Samples - Python 3.9'
- 'Samples - Python 3.10'
+ - 'Samples - Python 3.11'
+ - 'Samples - Python 3.12'
permissionRules:
- team: actools-python
permission: admin
diff --git a/.kokoro/requirements.txt b/.kokoro/requirements.txt
index e5c1ffca..bb3d6ca3 100644
--- a/.kokoro/requirements.txt
+++ b/.kokoro/requirements.txt
@@ -263,9 +263,9 @@ jeepney==0.8.0 \
# via
# keyring
# secretstorage
-jinja2==3.1.2 \
- --hash=sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852 \
- --hash=sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61
+jinja2==3.1.3 \
+ --hash=sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa \
+ --hash=sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90
# via gcp-releasetool
keyring==24.2.0 \
--hash=sha256:4901caaf597bfd3bbd78c9a0c7c4c29fcd8310dab2cffefe749e916b6527acd6 \
diff --git a/AUTHORS b/AUTHORS
index 5daa663b..fc5345ee 100644
--- a/AUTHORS
+++ b/AUTHORS
@@ -19,6 +19,7 @@ Maksym Voitko
Maxim Zudilov (mxmzdlv)
Maxime Beauchemin (mistercrunch)
Romain Rigaux
+Sharoon Thomas (sharoonthomas)
Sumedh Sakdeo
Tim Swast (tswast)
Vince Broz
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 7c3b7ca7..2f98741e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,30 @@ Older versions of this project were distributed as [pybigquery][0].
[2]: https://pypi.org/project/pybigquery/#history
+## [1.11.0.dev3](https://github.com/googleapis/python-bigquery-sqlalchemy/compare/v1.9.0...v1.11.0.dev3) (2024-02-20)
+
+
+### Bug Fixes
+
+* Fix grouping sets, rollup and cube rendering issue ([#1019](https://github.com/googleapis/python-bigquery-sqlalchemy/pull/1019))
+* Add more grouping sets/rollup/cube tests ([#1029](https://github.com/googleapis/python-bigquery-sqlalchemy/pull/1029))
+
+## [1.11.0.dev2](https://github.com/googleapis/python-bigquery-sqlalchemy/compare/v1.9.0...v1.11.0.dev2) (2024-02-01)
+
+## [1.11.0.dev1](https://github.com/googleapis/python-bigquery-sqlalchemy/compare/v1.9.0...v1.11.0.dev1) (2024-01-30)
+
+
+### Bug Fixes
+
+* Fix coverage test issues in SQLAlchemy migration ([#987](https://github.com/googleapis/python-bigquery-sqlalchemy/pull/987))
+* Cleanup test_sqlalchemy_dialect file for readability ([#1018](https://github.com/googleapis/python-bigquery-sqlalchemy/pull/1018))
+
+## [1.11.0.dev0](https://github.com/googleapis/python-bigquery-sqlalchemy/compare/v1.9.0...v1.11.0.dev0) (2024-01-25)
+
+
+### Features
+
+* Drop support for SQLAlchemy versions 1.2 and 1.3, maintain support for 1.4 and add support for 2.0 ([#920](https://github.com/googleapis/python-bigquery-sqlalchemy/pull/920))
## [1.9.0](https://github.com/googleapis/python-bigquery-sqlalchemy/compare/v1.8.0...v1.9.0) (2023-12-10)
diff --git a/README.rst b/README.rst
index a2036289..b6693abb 100644
--- a/README.rst
+++ b/README.rst
@@ -35,7 +35,8 @@ In order to use this library, you first need to go through the following steps:
.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
.. note::
- This library is only compatible with SQLAlchemy versions < 2.0.0
+ This library is a prerelease to gauge compatiblity with SQLAlchemy
+ versions >= 1.4.16 and < 2.1
Installation
------------
@@ -108,7 +109,8 @@ SQLAlchemy
from sqlalchemy.schema import *
engine = create_engine('bigquery://project')
table = Table('dataset.table', MetaData(bind=engine), autoload=True)
- print(select([func.count('*')], from_obj=table).scalar())
+ print(select([func.count('*')], from_obj=table().scalar())
+
Project
^^^^^^^
@@ -281,7 +283,7 @@ If you need additional control, you can supply a BigQuery client of your own:
engine = create_engine(
'bigquery://some-project/some-dataset?user_supplied_client=True',
- connect_args={'client': custom_bq_client},
+ connect_args={'client': custom_bq_client},
)
@@ -292,7 +294,12 @@ To add metadata to a table:
.. code-block:: python
- table = Table('mytable', ..., bigquery_description='my table description', bigquery_friendly_name='my table friendly name')
+ table = Table('mytable', ...,
+ bigquery_description='my table description',
+ bigquery_friendly_name='my table friendly name',
+ bigquery_default_rounding_mode="ROUND_HALF_EVEN",
+ bigquery_expiration_timestamp=datetime.datetime.fromisoformat("2038-01-01T00:00:00+00:00"),
+ )
To add metadata to a column:
@@ -300,6 +307,52 @@ To add metadata to a column:
Column('mycolumn', doc='my column description')
+To create a clustered table:
+
+.. code-block:: python
+
+ table = Table('mytable', ..., bigquery_clustering_fields=["a", "b", "c"])
+
+To create a time-unit column-partitioned table:
+
+.. code-block:: python
+
+ from google.cloud import bigquery
+
+ table = Table('mytable', ...,
+ bigquery_time_partitioning=bigquery.TimePartitioning(
+ field="mytimestamp",
+ type_="MONTH",
+ expiration_ms=1000 * 60 * 60 * 24 * 30 * 6, # 6 months
+ ),
+ bigquery_require_partition_filter=True,
+ )
+
+To create an ingestion-time partitioned table:
+
+.. code-block:: python
+
+ from google.cloud import bigquery
+
+ table = Table('mytable', ...,
+ bigquery_time_partitioning=bigquery.TimePartitioning(),
+ bigquery_require_partition_filter=True,
+ )
+
+To create an integer-range partitioned table
+
+.. code-block:: python
+
+ from google.cloud import bigquery
+
+ table = Table('mytable', ...,
+ bigquery_range_partitioning=bigquery.RangePartitioning(
+ field="zipcode",
+ range_=bigquery.PartitionRange(start=0, end=100000, interval=10),
+ ),
+ bigquery_require_partition_filter=True,
+ )
+
Threading and Multiprocessing
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/dev_requirements.txt b/dev_requirements.txt
index ddc53054..1798fab5 100644
--- a/dev_requirements.txt
+++ b/dev_requirements.txt
@@ -2,4 +2,4 @@ sqlalchemy>=2.0.15,<2.1.0
google-cloud-bigquery>=1.6.0
pytest===6.2.5
pytest-flake8===1.1.0 # versions 1.1.1 and above require pytest 7
-pytz==2023.3
+pytz==2023.3.post1
diff --git a/noxfile.py b/noxfile.py
index e31f32c5..fc0ed6c5 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -369,7 +369,7 @@ def compliance(session):
session.skip("Compliance tests were not found")
session.install("--pre", "grpcio")
- session.install("--pre", "--no-deps", "--upgrade", "sqlalchemy<2.0.0")
+ session.install("--pre", "--no-deps", "--upgrade", "sqlalchemy>=1.4.16,<2.1")
session.install(
"mock",
"pytest",
@@ -394,10 +394,11 @@ def compliance(session):
f"--junitxml=compliance_{session.python}_sponge_log.xml",
"--reruns=3",
"--reruns-delay=60",
- "--only-rerun=403 Exceeded rate limits",
- "--only-rerun=409 Already Exists",
- "--only-rerun=404 Not found",
- "--only-rerun=400 Cannot execute DML over a non-existent table",
+ "--only-rerun=Exceeded rate limits",
+ "--only-rerun=Already Exists",
+ "--only-rerun=Not found",
+ "--only-rerun=Cannot execute DML over a non-existent table",
+ "--only-rerun=Job exceeded rate limits",
system_test_folder_path,
*session.posargs,
# To suppress the "Deprecated API features detected!" warning when
@@ -427,7 +428,16 @@ def docs(session):
session.install("-e", ".")
session.install(
- "sphinx==4.0.1",
+ # We need to pin to specific versions of the `sphinxcontrib-*` packages
+ # which still support sphinx 4.x.
+ # See https://github.com/googleapis/sphinx-docfx-yaml/issues/344
+ # and https://github.com/googleapis/sphinx-docfx-yaml/issues/345.
+ "sphinxcontrib-applehelp==1.0.4",
+ "sphinxcontrib-devhelp==1.0.2",
+ "sphinxcontrib-htmlhelp==2.0.1",
+ "sphinxcontrib-qthelp==1.0.3",
+ "sphinxcontrib-serializinghtml==1.1.5",
+ "sphinx==4.5.0",
"alabaster",
"geoalchemy2",
"shapely",
@@ -455,6 +465,15 @@ def docfx(session):
session.install("-e", ".")
session.install(
+ # We need to pin to specific versions of the `sphinxcontrib-*` packages
+ # which still support sphinx 4.x.
+ # See https://github.com/googleapis/sphinx-docfx-yaml/issues/344
+ # and https://github.com/googleapis/sphinx-docfx-yaml/issues/345.
+ "sphinxcontrib-applehelp==1.0.4",
+ "sphinxcontrib-devhelp==1.0.2",
+ "sphinxcontrib-htmlhelp==2.0.1",
+ "sphinxcontrib-qthelp==1.0.3",
+ "sphinxcontrib-serializinghtml==1.1.5",
"gcp-sphinx-docfx-yaml",
"alabaster",
"geoalchemy2",
@@ -524,7 +543,7 @@ def prerelease_deps(session):
prerel_deps = [
"protobuf",
- "sqlalchemy<2.0.0",
+ "sqlalchemy>=1.4.16,<2.1",
# dependency of grpc
"six",
"googleapis-common-protos",
diff --git a/owlbot.py b/owlbot.py
index 22678c8b..4dfec18d 100644
--- a/owlbot.py
+++ b/owlbot.py
@@ -42,14 +42,17 @@
system_test_extras=extras,
system_test_extras_by_python=extras_by_python,
)
-s.move(templated_files, excludes=[
- # sqlalchemy-bigquery was originally licensed MIT
- "LICENSE",
- "docs/multiprocessing.rst",
- # exclude gh actions as credentials are needed for tests
- ".github/workflows",
- "README.rst",
-])
+s.move(
+ templated_files,
+ excludes=[
+ # sqlalchemy-bigquery was originally licensed MIT
+ "LICENSE",
+ "docs/multiprocessing.rst",
+ # exclude gh actions as credentials are needed for tests
+ ".github/workflows",
+ "README.rst",
+ ],
+)
# ----------------------------------------------------------------------------
# Fixup files
@@ -59,7 +62,7 @@
[".coveragerc"],
"google/cloud/__init__.py",
"sqlalchemy_bigquery/requirements.py",
- )
+)
s.replace(
["noxfile.py"],
@@ -75,12 +78,14 @@
s.replace(
- ["noxfile.py"], "--cov=google", "--cov=sqlalchemy_bigquery",
+ ["noxfile.py"],
+ "--cov=google",
+ "--cov=sqlalchemy_bigquery",
)
s.replace(
- ["noxfile.py"],
+ ["noxfile.py"],
"\+ SYSTEM_TEST_EXTRAS",
"",
)
@@ -88,35 +93,34 @@
s.replace(
["noxfile.py"],
- '''"protobuf",
- # dependency of grpc''',
- '''"protobuf",
- "sqlalchemy<2.0.0",
- # dependency of grpc''',
+ """"protobuf",
+ # dependency of grpc""",
+ """"protobuf",
+ "sqlalchemy>=1.4.16,<2.1",
+ # dependency of grpc""",
)
s.replace(
["noxfile.py"],
r"def default\(session\)",
- "def default(session, install_extras=True)",
+ "def default(session, install_extras=True)",
)
-
-
def place_before(path, text, *before_text, escape=None):
replacement = "\n".join(before_text) + "\n" + text
if escape:
for c in escape:
- text = text.replace(c, '\\' + c)
+ text = text.replace(c, "\\" + c)
s.replace([path], text, replacement)
+
place_before(
"noxfile.py",
"SYSTEM_TEST_PYTHON_VERSIONS=",
"",
- "# We're using two Python versions to test with sqlalchemy 1.3 and 1.4.",
+ "# We're using two Python versions to test with sqlalchemy>=1.4.16",
)
place_before(
@@ -126,7 +130,7 @@ def place_before(path, text, *before_text, escape=None):
)
-install_logic = '''
+install_logic = """
if install_extras and session.python in ["3.11", "3.12"]:
install_target = ".[geography,alembic,tests,bqstorage]"
elif install_extras:
@@ -134,7 +138,7 @@ def place_before(path, text, *before_text, escape=None):
else:
install_target = "."
session.install("-e", install_target, "-c", constraints_path)
-'''
+"""
place_before(
"noxfile.py",
@@ -163,7 +167,7 @@ def compliance(session):
session.skip("Compliance tests were not found")
session.install("--pre", "grpcio")
- session.install("--pre", "--no-deps", "--upgrade", "sqlalchemy<2.0.0")
+ session.install("--pre", "--no-deps", "--upgrade", "sqlalchemy>=1.4.16,<2.1")
session.install(
"mock",
"pytest",
@@ -188,10 +192,11 @@ def compliance(session):
f"--junitxml=compliance_{session.python}_sponge_log.xml",
"--reruns=3",
"--reruns-delay=60",
- "--only-rerun=403 Exceeded rate limits",
- "--only-rerun=409 Already Exists",
- "--only-rerun=404 Not found",
- "--only-rerun=400 Cannot execute DML over a non-existent table",
+ "--only-rerun=Exceeded rate limits",
+ "--only-rerun=Already Exists",
+ "--only-rerun=Not found",
+ "--only-rerun=Cannot execute DML over a non-existent table",
+ "--only-rerun=Job exceeded rate limits",
system_test_folder_path,
*session.posargs,
# To suppress the "Deprecated API features detected!" warning when
@@ -205,12 +210,11 @@ def compliance(session):
'''
place_before(
- "noxfile.py",
- "@nox.session(python=DEFAULT_PYTHON_VERSION)\n"
- "def cover(session):",
- compliance,
- escape="()",
- )
+ "noxfile.py",
+ "@nox.session(python=DEFAULT_PYTHON_VERSION)\n" "def cover(session):",
+ compliance,
+ escape="()",
+)
s.replace(["noxfile.py"], '"alabaster"', '"alabaster", "geoalchemy2", "shapely"')
@@ -266,11 +270,10 @@ def system_noextras(session):
place_before(
"noxfile.py",
- "@nox.session(python=SYSTEM_TEST_PYTHON_VERSIONS[-1])\n"
- "def compliance(session):",
+ "@nox.session(python=SYSTEM_TEST_PYTHON_VERSIONS[-1])\n" "def compliance(session):",
system_noextras,
escape="()[]",
- )
+)
# Add DB config for SQLAlchemy dialect test suite.
@@ -287,7 +290,7 @@ def system_noextras(session):
[tool:pytest]
addopts= --tb native -v -r fxX -p no:warnings
python_files=tests/*test_*.py
-"""
+""",
)
# ----------------------------------------------------------------------------
@@ -298,7 +301,7 @@ def system_noextras(session):
python.py_samples(skip_readmes=True)
s.replace(
- ["./samples/snippets/noxfile.py"],
+ ["./samples/snippets/noxfile.py"],
"""session.install\("-e", _get_repo_root\(\)\)""",
"""session.install("-e", _get_repo_root())
else:
diff --git a/samples/snippets/requirements-test.txt b/samples/snippets/requirements-test.txt
index 90537d96..552292b6 100644
--- a/samples/snippets/requirements-test.txt
+++ b/samples/snippets/requirements-test.txt
@@ -1,16 +1,16 @@
attrs==23.1.0
-click==8.1.6
-google-auth==2.22.0
-google-cloud-testutils==1.3.3
+click==8.1.7
+google-auth==2.25.2
+google-cloud-testutils==1.4.0
iniconfig==2.0.0
-packaging==23.1
-pluggy==1.2.0
+packaging==23.2
+pluggy==1.3.0
py==1.11.0
-pyasn1==0.5.0
+pyasn1==0.5.1
pyasn1-modules==0.3.0
pyparsing==3.1.1
pytest===6.2.5
rsa==4.9
six==1.16.0
toml==0.10.2
-typing-extensions==4.7.1
+typing-extensions==4.9.0
diff --git a/samples/snippets/requirements.txt b/samples/snippets/requirements.txt
index b15bf2cb..f011f19c 100644
--- a/samples/snippets/requirements.txt
+++ b/samples/snippets/requirements.txt
@@ -1,33 +1,33 @@
-alembic==1.11.2
-certifi==2023.7.22
-charset-normalizer==3.2.0
-geoalchemy2==0.14.1
-google-api-core[grpc]==2.11.1
-google-auth==2.22.0
-google-cloud-bigquery==3.11.4
-google-cloud-core==2.3.3
+alembic==1.13.0
+certifi==2023.11.17
+charset-normalizer==3.3.2
+geoalchemy2==0.14.2
+google-api-core[grpc]==2.15.0
+google-auth==2.25.2
+google-cloud-bigquery==3.14.1
+google-cloud-core==2.4.1
google-crc32c==1.5.0
-google-resumable-media==2.5.0
-googleapis-common-protos==1.60.0
-greenlet==3.0.1
-grpcio==1.59.0
-grpcio-status==1.57.0
-idna==3.4
-importlib-resources==6.0.1; python_version >= '3.8'
-mako==1.2.4
+google-resumable-media==2.7.0
+googleapis-common-protos==1.62.0
+greenlet==3.0.2
+grpcio==1.60.0
+grpcio-status==1.60.0
+idna==3.6
+importlib-resources==6.1.1; python_version >= '3.8'
+mako==1.3.0
markupsafe==2.1.3
-packaging==23.1
-proto-plus==1.22.3
-protobuf==4.24.0
-pyasn1==0.5.0
+packaging==23.2
+proto-plus==1.23.0
+protobuf==4.25.1
+pyasn1==0.5.1
pyasn1-modules==0.3.0
pyparsing==3.1.1
python-dateutil==2.8.2
-pytz==2023.3
+pytz==2023.3.post1
requests==2.31.0
rsa==4.9
shapely==2.0.2
six==1.16.0
-sqlalchemy===1.4.27
-typing-extensions==4.7.1
-urllib3==1.26.18
+sqlalchemy==1.4.16
+typing-extensions==4.9.0
+urllib3==2.1.0
diff --git a/setup.py b/setup.py
index e035c518..31565afa 100644
--- a/setup.py
+++ b/setup.py
@@ -99,9 +99,9 @@ def readme():
# Until this issue is closed
# https://github.com/googleapis/google-cloud-python/issues/10566
"google-auth>=1.25.0,<3.0.0dev", # Work around pip wack.
- "google-cloud-bigquery>=2.25.2,<4.0.0dev",
+ "google-cloud-bigquery>=3.3.6,<4.0.0dev",
"packaging",
- "sqlalchemy>=1.2.0,<2.0.0dev",
+ "sqlalchemy>=1.4.16,<2.1",
],
extras_require=extras,
python_requires=">=3.8, <3.13",
diff --git a/sqlalchemy_bigquery/_struct.py b/sqlalchemy_bigquery/_struct.py
index fc551c12..309d1080 100644
--- a/sqlalchemy_bigquery/_struct.py
+++ b/sqlalchemy_bigquery/_struct.py
@@ -17,20 +17,14 @@
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-import packaging.version
import sqlalchemy.sql.default_comparator
import sqlalchemy.sql.sqltypes
import sqlalchemy.types
from . import base
-sqlalchemy_1_4_or_more = packaging.version.parse(
- sqlalchemy.__version__
-) >= packaging.version.parse("1.4")
-
-if sqlalchemy_1_4_or_more:
- import sqlalchemy.sql.coercions
- import sqlalchemy.sql.roles
+import sqlalchemy.sql.coercions
+import sqlalchemy.sql.roles
def _get_subtype_col_spec(type_):
@@ -103,34 +97,20 @@ def _setup_getitem(self, name):
def __getattr__(self, name):
if name.lower() in self.expr.type._STRUCT_byname:
return self[name]
+ else:
+ raise AttributeError(name)
comparator_factory = Comparator
-# In the implementations of _field_index below, we're stealing from
-# the JSON type implementation, but the code to steal changed in
-# 1.4. :/
-
-if sqlalchemy_1_4_or_more:
-
- def _field_index(self, name, operator):
- return sqlalchemy.sql.coercions.expect(
- sqlalchemy.sql.roles.BinaryElementRole,
- name,
- expr=self.expr,
- operator=operator,
- bindparam_type=sqlalchemy.types.String(),
- )
-
-else:
-
- def _field_index(self, name, operator):
- return sqlalchemy.sql.default_comparator._check_literal(
- self.expr,
- operator,
- name,
- bindparam_type=sqlalchemy.types.String(),
- )
+def _field_index(self, name, operator):
+ return sqlalchemy.sql.coercions.expect(
+ sqlalchemy.sql.roles.BinaryElementRole,
+ name,
+ expr=self.expr,
+ operator=operator,
+ bindparam_type=sqlalchemy.types.String(),
+ )
def struct_getitem_op(a, b):
diff --git a/sqlalchemy_bigquery/base.py b/sqlalchemy_bigquery/base.py
index 5297f223..e80f2891 100644
--- a/sqlalchemy_bigquery/base.py
+++ b/sqlalchemy_bigquery/base.py
@@ -19,6 +19,7 @@
"""Integration between SQLAlchemy and BigQuery."""
+import datetime
from decimal import Decimal
import random
import operator
@@ -27,7 +28,11 @@
from google import auth
import google.api_core.exceptions
from google.cloud.bigquery import dbapi
-from google.cloud.bigquery.table import TableReference
+from google.cloud.bigquery.table import (
+ RangePartitioning,
+ TableReference,
+ TimePartitioning,
+)
from google.api_core.exceptions import NotFound
import packaging.version
import sqlalchemy
@@ -35,7 +40,7 @@
import sqlalchemy.sql.functions
import sqlalchemy.sql.sqltypes
import sqlalchemy.sql.type_api
-from sqlalchemy.exc import NoSuchTableError
+from sqlalchemy.exc import NoSuchTableError, NoSuchColumnError
from sqlalchemy import util
from sqlalchemy.ext.compiler import compiles
from sqlalchemy.sql.compiler import (
@@ -158,7 +163,7 @@ def get_insert_default(self, column): # pragma: NO COVER
""",
flags=re.IGNORECASE | re.VERBOSE,
)
- def __distribute_types_to_expanded_placeholders(self, m):
+ def __distribute_types_to_expanded_placeholders(self, m): # pragma: NO COVER
# If we have an in parameter, it sometimes gets expaned to 0 or more
# parameters and we need to move the type marker to each
# parameter.
@@ -169,6 +174,8 @@ def __distribute_types_to_expanded_placeholders(self, m):
# suffixes refect that when an array parameter is expanded,
# numeric suffixes are added. For example, a placeholder like
# `%(foo)s` gets expaneded to `%(foo_0)s, `%(foo_1)s, ...`.
+
+ # Coverage: despite our best efforts, never recognized this segment of code as being tested.
placeholders, type_ = m.groups()
if placeholders:
placeholders = placeholders.replace(")", f":{type_})")
@@ -214,7 +221,7 @@ def visit_table_valued_alias(self, element, **kw):
# For example, given SQLAlchemy code:
#
# print(
- # select([func.unnest(foo.c.objects).alias('foo_objects').column])
+ # select(func.unnest(foo.c.objects).alias('foo_objects').column)
# .compile(engine))
#
# Left to it's own devices, SQLAlchemy would outout:
@@ -269,6 +276,14 @@ def _known_tables(self):
if table is not None:
known_tables.add(table.name)
+ # If we have the table in the `from` of our parent, do not add the alias
+ # as this will add the table twice and cause an implicit JOIN for that
+ # table on itself
+ asfrom_froms = self.stack[-1].get("asfrom_froms", [])
+ for from_ in asfrom_froms:
+ if isinstance(from_, Table):
+ known_tables.add(from_.name)
+
return known_tables
def visit_column(
@@ -323,7 +338,14 @@ def visit_label(self, *args, within_group_by=False, **kwargs):
# Flag set in the group_by_clause method. Works around missing
# equivalent to supports_simple_order_by_label for group by.
if within_group_by:
- kwargs["render_label_as_label"] = args[0]
+ column_label = args[0]
+ sql_keywords = {"GROUPING SETS", "ROLLUP", "CUBE"}
+ for keyword in sql_keywords:
+ if keyword in str(column_label):
+ break
+ else: # for/else always happens unless break gets called
+ kwargs["render_label_as_label"] = column_label
+
return super(BigQueryCompiler, self).visit_label(*args, **kwargs)
def group_by_clause(self, select, **kw):
@@ -343,11 +365,7 @@ def group_by_clause(self, select, **kw):
__sqlalchemy_version_info = packaging.version.parse(sqlalchemy.__version__)
- __expanding_text = (
- "EXPANDING"
- if __sqlalchemy_version_info < packaging.version.parse("1.4")
- else "POSTCOMPILE"
- )
+ __expanding_text = "POSTCOMPILE"
# https://github.com/sqlalchemy/sqlalchemy/commit/f79df12bd6d99b8f6f09d4bf07722638c4b4c159
__expanding_conflict = (
@@ -375,9 +393,6 @@ def visit_in_op_binary(self, binary, operator_, **kw):
self._generate_generic_binary(binary, " IN ", **kw)
)
- def visit_empty_set_expr(self, element_types):
- return ""
-
def visit_not_in_op_binary(self, binary, operator, **kw):
return (
"("
@@ -387,8 +402,6 @@ def visit_not_in_op_binary(self, binary, operator, **kw):
+ ")"
)
- visit_notin_op_binary = visit_not_in_op_binary # before 1.4
-
############################################################################
############################################################################
@@ -411,8 +424,8 @@ def visit_contains_op_binary(self, binary, operator, **kw):
self._maybe_reescape(binary), operator, **kw
)
- def visit_notcontains_op_binary(self, binary, operator, **kw):
- return super(BigQueryCompiler, self).visit_notcontains_op_binary(
+ def visit_not_contains_op_binary(self, binary, operator, **kw):
+ return super(BigQueryCompiler, self).visit_not_contains_op_binary(
self._maybe_reescape(binary), operator, **kw
)
@@ -421,8 +434,8 @@ def visit_startswith_op_binary(self, binary, operator, **kw):
self._maybe_reescape(binary), operator, **kw
)
- def visit_notstartswith_op_binary(self, binary, operator, **kw):
- return super(BigQueryCompiler, self).visit_notstartswith_op_binary(
+ def visit_not_startswith_op_binary(self, binary, operator, **kw):
+ return super(BigQueryCompiler, self).visit_not_startswith_op_binary(
self._maybe_reescape(binary), operator, **kw
)
@@ -431,8 +444,8 @@ def visit_endswith_op_binary(self, binary, operator, **kw):
self._maybe_reescape(binary), operator, **kw
)
- def visit_notendswith_op_binary(self, binary, operator, **kw):
- return super(BigQueryCompiler, self).visit_notendswith_op_binary(
+ def visit_not_endswith_op_binary(self, binary, operator, **kw):
+ return super(BigQueryCompiler, self).visit_not_endswith_op_binary(
self._maybe_reescape(binary), operator, **kw
)
@@ -497,7 +510,8 @@ def visit_bindparam(
# here, because then we can't do a recompile later (e.g., first
# print the statment, then execute it). See issue #357.
#
- if getattr(bindparam, "expand_op", None) is not None:
+ # Coverage: despite our best efforts, never recognized this segment of code as being tested.
+ if getattr(bindparam, "expand_op", None) is not None: # pragma: NO COVER
assert bindparam.expand_op.__name__.endswith("in_op") # in in
bindparam = bindparam._clone(maintain_key=True)
bindparam.expanding = False
@@ -623,16 +637,23 @@ def visit_NUMERIC(self, type_, **kw):
class BigQueryDDLCompiler(DDLCompiler):
+ option_datatype_mapping = {
+ "friendly_name": str,
+ "expiration_timestamp": datetime.datetime,
+ "require_partition_filter": bool,
+ "default_rounding_mode": str,
+ }
+
# BigQuery has no support for foreign keys.
- def visit_foreign_key_constraint(self, constraint):
+ def visit_foreign_key_constraint(self, constraint, **kw):
return None
# BigQuery has no support for primary keys.
- def visit_primary_key_constraint(self, constraint):
+ def visit_primary_key_constraint(self, constraint, **kw):
return None
# BigQuery has no support for unique constraints.
- def visit_unique_constraint(self, constraint):
+ def visit_unique_constraint(self, constraint, **kw):
return None
def get_column_specification(self, column, **kwargs):
@@ -646,38 +667,257 @@ def get_column_specification(self, column, **kwargs):
return colspec
def post_create_table(self, table):
+ """
+ Constructs additional SQL clauses for table creation in BigQuery.
+
+ This function processes the BigQuery dialect-specific options and generates SQL clauses for partitioning,
+ clustering, and other table options.
+
+ Args:
+ table (Table): The SQLAlchemy Table object for which the SQL is being generated.
+
+ Returns:
+ str: A string composed of SQL clauses for time partitioning, clustering, and other BigQuery specific
+ options, each separated by a newline. Returns an empty string if no such options are specified.
+
+ Raises:
+ TypeError: If the time_partitioning option is not a `TimePartitioning` object or if the clustering_fields option is not a list.
+ NoSuchColumnError: If any field specified in clustering_fields does not exist in the table.
+ """
+
bq_opts = table.dialect_options["bigquery"]
- opts = []
- if ("description" in bq_opts) or table.comment:
- description = process_string_literal(
- bq_opts.get("description", table.comment)
+ options = {}
+ clauses = []
+
+ if (
+ bq_opts.get("time_partitioning") is not None
+ and bq_opts.get("range_partitioning") is not None
+ ):
+ raise ValueError(
+ "biquery_time_partitioning and bigquery_range_partitioning"
+ " dialect options are mutually exclusive."
)
- opts.append(f"description={description}")
- if "friendly_name" in bq_opts:
- opts.append(
- "friendly_name={}".format(
- process_string_literal(bq_opts["friendly_name"])
+ if (time_partitioning := bq_opts.get("time_partitioning")) is not None:
+ self._raise_for_type(
+ "time_partitioning",
+ time_partitioning,
+ TimePartitioning,
+ )
+
+ if time_partitioning.expiration_ms:
+ _24hours = 1000 * 60 * 60 * 24
+ options["partition_expiration_days"] = (
+ time_partitioning.expiration_ms / _24hours
)
+
+ partition_by_clause = self._process_time_partitioning(
+ table,
+ time_partitioning,
)
- if opts:
- return "\nOPTIONS({})".format(", ".join(opts))
+ clauses.append(partition_by_clause)
- return ""
+ if (range_partitioning := bq_opts.get("range_partitioning")) is not None:
+ self._raise_for_type(
+ "range_partitioning",
+ range_partitioning,
+ RangePartitioning,
+ )
+
+ partition_by_clause = self._process_range_partitioning(
+ table,
+ range_partitioning,
+ )
+
+ clauses.append(partition_by_clause)
+
+ if (clustering_fields := bq_opts.get("clustering_fields")) is not None:
+ self._raise_for_type("clustering_fields", clustering_fields, list)
+
+ for field in clustering_fields:
+ if field not in table.c:
+ raise NoSuchColumnError(field)
+
+ clauses.append(f"CLUSTER BY {', '.join(clustering_fields)}")
- def visit_set_table_comment(self, create):
+ if ("description" in bq_opts) or table.comment:
+ description = bq_opts.get("description", table.comment)
+ self._validate_option_value_type("description", description)
+ options["description"] = description
+
+ for option in self.option_datatype_mapping:
+ if option in bq_opts:
+ options[option] = bq_opts.get(option)
+
+ if options:
+ individual_option_statements = [
+ "{}={}".format(k, self._process_option_value(v))
+ for (k, v) in options.items()
+ if self._validate_option_value_type(k, v)
+ ]
+ clauses.append(f"OPTIONS({', '.join(individual_option_statements)})")
+
+ return " " + "\n".join(clauses)
+
+ def visit_set_table_comment(self, create, **kw):
table_name = self.preparer.format_table(create.element)
description = self.sql_compiler.render_literal_value(
create.element.comment, sqlalchemy.sql.sqltypes.String()
)
return f"ALTER TABLE {table_name} SET OPTIONS(description={description})"
- def visit_drop_table_comment(self, drop):
+ def visit_drop_table_comment(self, drop, **kw):
table_name = self.preparer.format_table(drop.element)
return f"ALTER TABLE {table_name} SET OPTIONS(description=null)"
+ def _validate_option_value_type(self, option: str, value):
+ """
+ Validates the type of the given option value against the expected data type.
+
+ Args:
+ option (str): The name of the option to be validated.
+ value: The value of the dialect option whose type is to be checked. The type of this parameter
+ is dynamic and is verified against the expected type in `self.option_datatype_mapping`.
+
+ Returns:
+ bool: True if the type of the value matches the expected type, or if the option is not found in
+ `self.option_datatype_mapping`.
+
+ Raises:
+ TypeError: If the type of the provided value does not match the expected type as defined in
+ `self.option_datatype_mapping`.
+ """
+ if option in self.option_datatype_mapping:
+ self._raise_for_type(
+ option,
+ value,
+ self.option_datatype_mapping[option],
+ )
+
+ return True
+
+ def _raise_for_type(self, option, value, expected_type):
+ if type(value) is not expected_type:
+ raise TypeError(
+ f"bigquery_{option} dialect option accepts only {expected_type},"
+ f" provided {repr(value)}"
+ )
+
+ def _process_time_partitioning(
+ self, table: Table, time_partitioning: TimePartitioning
+ ):
+ """
+ Generates a SQL 'PARTITION BY' clause for partitioning a table by a date or timestamp.
+
+ Args:
+ - table (Table): The SQLAlchemy table object representing the BigQuery table to be partitioned.
+ - time_partitioning (TimePartitioning): The time partitioning details,
+ including the field to be used for partitioning.
+
+ Returns:
+ - str: A SQL 'PARTITION BY' clause that uses either TIMESTAMP_TRUNC or DATE_TRUNC to
+ partition data on the specified field.
+
+ Example:
+ - Given a table with a TIMESTAMP type column 'event_timestamp' and setting
+ 'time_partitioning.field' to 'event_timestamp', the function returns
+ "PARTITION BY TIMESTAMP_TRUNC(event_timestamp, DAY)".
+ """
+ field = "_PARTITIONDATE"
+ trunc_fn = "DATE_TRUNC"
+
+ if time_partitioning.field is not None:
+ field = time_partitioning.field
+ if isinstance(
+ table.columns[time_partitioning.field].type,
+ sqlalchemy.sql.sqltypes.TIMESTAMP,
+ ):
+ trunc_fn = "TIMESTAMP_TRUNC"
+
+ return f"PARTITION BY {trunc_fn}({field}, {time_partitioning.type_})"
+
+ def _process_range_partitioning(
+ self, table: Table, range_partitioning: RangePartitioning
+ ):
+ """
+ Generates a SQL 'PARTITION BY' clause for partitioning a table by a range of integers.
+
+ Args:
+ - table (Table): The SQLAlchemy table object representing the BigQuery table to be partitioned.
+ - range_partitioning (RangePartitioning): The RangePartitioning object containing the
+ partitioning field, range start, range end, and interval.
+
+ Returns:
+ - str: A SQL string for range partitioning using RANGE_BUCKET and GENERATE_ARRAY functions.
+
+ Raises:
+ - AttributeError: If the partitioning field is not defined.
+ - ValueError: If the partitioning field (i.e. column) data type is not an integer.
+ - TypeError: If the partitioning range start/end values are not integers.
+
+ Example:
+ "PARTITION BY RANGE_BUCKET(zipcode, GENERATE_ARRAY(0, 100000, 10))"
+ """
+ if range_partitioning.field is None:
+ raise AttributeError(
+ "bigquery_range_partitioning expects field to be defined"
+ )
+
+ if not isinstance(
+ table.columns[range_partitioning.field].type,
+ sqlalchemy.sql.sqltypes.INT,
+ ):
+ raise ValueError(
+ "bigquery_range_partitioning expects field (i.e. column) data type to be INTEGER"
+ )
+
+ range_ = range_partitioning.range_
+
+ if not isinstance(range_.start, int):
+ raise TypeError(
+ "bigquery_range_partitioning expects range_.start to be an int,"
+ f" provided {repr(range_.start)}"
+ )
+
+ if not isinstance(range_.end, int):
+ raise TypeError(
+ "bigquery_range_partitioning expects range_.end to be an int,"
+ f" provided {repr(range_.end)}"
+ )
+
+ default_interval = 1
+
+ return f"PARTITION BY RANGE_BUCKET({range_partitioning.field}, GENERATE_ARRAY({range_.start}, {range_.end}, {range_.interval or default_interval}))"
+
+ def _process_option_value(self, value):
+ """
+ Transforms the given option value into a literal representation suitable for SQL queries in BigQuery.
+
+ Args:
+ value: The value to be transformed.
+
+ Returns:
+ The processed value in a format suitable for inclusion in a SQL query.
+
+ Raises:
+ NotImplementedError: When there is no transformation registered for a data type.
+ """
+ option_casting = {
+ # Mapping from option type to its casting method
+ str: lambda x: process_string_literal(x),
+ int: lambda x: x,
+ float: lambda x: x,
+ bool: lambda x: "true" if x else "false",
+ datetime.datetime: lambda x: BQTimestamp.process_timestamp_literal(x),
+ }
+
+ if (option_cast := option_casting.get(type(value))) is not None:
+ return option_cast(value)
+
+ raise NotImplementedError(f"No transformation registered for {repr(value)}")
+
def process_string_literal(value):
return repr(value.replace("%", "%%"))
@@ -791,6 +1031,14 @@ def __init__(
@classmethod
def dbapi(cls):
+ """
+ Use `import_dbapi()` instead.
+ Maintained for backward compatibility.
+ """
+ return dbapi
+
+ @classmethod
+ def import_dbapi(cls):
return dbapi
@staticmethod
@@ -963,7 +1211,21 @@ def _get_table(self, connection, table_name, schema=None):
raise NoSuchTableError(table_name)
return table
- def has_table(self, connection, table_name, schema=None):
+ def has_table(self, connection, table_name, schema=None, **kw):
+ """Checks whether a table exists in BigQuery.
+
+ Args:
+ connection (google.cloud.bigquery.client.Client): The client
+ object used to interact with BigQuery.
+ table_name (str): The name of the table to check for.
+ schema (str, optional): The name of the schema to which the table
+ belongs. Defaults to the default schema.
+ **kw (dict): Any extra keyword arguments will be ignored.
+
+ Returns:
+ bool: True if the table exists, False otherwise.
+
+ """
try:
self._get_table(connection, table_name, schema)
return True
@@ -989,25 +1251,8 @@ def get_pk_constraint(self, connection, table_name, schema=None, **kw):
return {"constrained_columns": []}
def get_indexes(self, connection, table_name, schema=None, **kw):
- table = self._get_table(connection, table_name, schema)
- indexes = []
- if table.time_partitioning:
- indexes.append(
- {
- "name": "partition",
- "column_names": [table.time_partitioning.field],
- "unique": False,
- }
- )
- if table.clustering_fields:
- indexes.append(
- {
- "name": "clustering",
- "column_names": table.clustering_fields,
- "unique": False,
- }
- )
- return indexes
+ # BigQuery has no support for indexes.
+ return []
def get_schema_names(self, connection, **kw):
if isinstance(connection, Engine):
@@ -1034,10 +1279,6 @@ def do_rollback(self, dbapi_connection):
# BigQuery has no support for transactions.
pass
- def _check_unicode_returns(self, connection, additional_tests=None):
- # requests gives back Unicode strings
- return True
-
def get_view_definition(self, connection, view_name, schema=None, **kw):
if isinstance(connection, Engine):
connection = connection.connect()
@@ -1057,7 +1298,13 @@ def __init__(self, *args, **kwargs):
raise TypeError("The unnest function requires a single argument.")
arg = args[0]
if isinstance(arg, sqlalchemy.sql.expression.ColumnElement):
- if not isinstance(arg.type, sqlalchemy.sql.sqltypes.ARRAY):
+ if not (
+ isinstance(arg.type, sqlalchemy.sql.sqltypes.ARRAY)
+ or (
+ hasattr(arg.type, "impl")
+ and isinstance(arg.type.impl, sqlalchemy.sql.sqltypes.ARRAY)
+ )
+ ):
raise TypeError("The argument to unnest must have an ARRAY type.")
self.type = arg.type.item_type
super().__init__(*args, **kwargs)
diff --git a/sqlalchemy_bigquery/requirements.py b/sqlalchemy_bigquery/requirements.py
index 90cc08db..118e3946 100644
--- a/sqlalchemy_bigquery/requirements.py
+++ b/sqlalchemy_bigquery/requirements.py
@@ -136,6 +136,11 @@ def schemas(self):
return unsupported()
+ @property
+ def array_type(self):
+ """Target database must support array_type"""
+ return supported()
+
@property
def implicit_default_schema(self):
"""target system has a strong concept of 'default' schema that can
diff --git a/sqlalchemy_bigquery/version.py b/sqlalchemy_bigquery/version.py
index f15b4f67..265cef18 100644
--- a/sqlalchemy_bigquery/version.py
+++ b/sqlalchemy_bigquery/version.py
@@ -17,4 +17,4 @@
# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-__version__ = "1.9.0"
+__version__ = "1.11.0.dev3"
diff --git a/testing/constraints-3.7.txt b/testing/constraints-3.7.txt
deleted file mode 100644
index 1d0a1b72..00000000
--- a/testing/constraints-3.7.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-# This constraints file is used to check that lower bounds
-# are correct in setup.py
-# List *all* library dependencies and extras in this file.
-# Pin the version to the lower bound.
-#
-# e.g., if setup.py has "foo >= 1.14.0, < 2.0.0dev",
-sqlalchemy==1.2.0
-google-auth==1.25.0
-google-cloud-bigquery==3.3.6
-google-cloud-bigquery-storage==2.0.0
-google-api-core==1.31.5
-pyarrow==3.0.0
diff --git a/testing/constraints-3.8.txt b/testing/constraints-3.8.txt
index 4884f96a..667a747d 100644
--- a/testing/constraints-3.8.txt
+++ b/testing/constraints-3.8.txt
@@ -1 +1,13 @@
-sqlalchemy==1.3.24
+# This constraints file is used to check that lower bounds
+# are correct in setup.py
+# List *all* library dependencies and extras in this file.
+# Pin the version to the lower bound.
+#
+# e.g., if setup.py has "foo >= 1.14.0, < 2.0.0dev",
+sqlalchemy==1.4.16
+google-auth==1.25.0
+google-cloud-bigquery==3.3.6
+google-cloud-bigquery-storage==2.0.0
+google-api-core==1.31.5
+grpcio==1.47.0
+pyarrow==3.0.0
diff --git a/testing/constraints-3.9.txt b/testing/constraints-3.9.txt
index 77dc823a..e69de29b 100644
--- a/testing/constraints-3.9.txt
+++ b/testing/constraints-3.9.txt
@@ -1 +0,0 @@
-sqlalchemy>=1.4.13,<2.0.0
diff --git a/tests/sqlalchemy_dialect_compliance/test_dialect_compliance.py b/tests/sqlalchemy_dialect_compliance/test_dialect_compliance.py
index a79f2818..5420bf32 100644
--- a/tests/sqlalchemy_dialect_compliance/test_dialect_compliance.py
+++ b/tests/sqlalchemy_dialect_compliance/test_dialect_compliance.py
@@ -18,6 +18,7 @@
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
import datetime
+import decimal
import mock
import packaging.version
import pytest
@@ -27,45 +28,203 @@
import sqlalchemy.testing.suite.test_types
import sqlalchemy.sql.sqltypes
-from sqlalchemy.testing import util
+from sqlalchemy.testing import util, config
from sqlalchemy.testing.assertions import eq_
-from sqlalchemy.testing.suite import config, select, exists
+from sqlalchemy.testing.suite import select, exists
from sqlalchemy.testing.suite import * # noqa
+from sqlalchemy.testing.suite import Integer, Table, Column, String, bindparam, testing
from sqlalchemy.testing.suite import (
- ComponentReflectionTest as _ComponentReflectionTest,
CTETest as _CTETest,
ExistsTest as _ExistsTest,
+ FetchLimitOffsetTest as _FetchLimitOffsetTest,
+ DifficultParametersTest as _DifficultParametersTest,
+ DistinctOnTest,
+ HasIndexTest,
+ IdentityAutoincrementTest,
InsertBehaviorTest as _InsertBehaviorTest,
LongNameBlowoutTest,
+ PostCompileParamsTest,
QuotedNameArgumentTest,
SimpleUpdateDeleteTest as _SimpleUpdateDeleteTest,
TimestampMicrosecondsTest as _TimestampMicrosecondsTest,
)
+from sqlalchemy.testing.suite.test_types import (
+ ArrayTest,
+)
-if packaging.version.parse(sqlalchemy.__version__) < packaging.version.parse("1.4"):
- from sqlalchemy.testing.suite import LimitOffsetTest as _LimitOffsetTest
+from sqlalchemy.testing.suite.test_reflection import (
+ BizarroCharacterFKResolutionTest,
+ ComponentReflectionTest,
+ HasTableTest,
+)
- class LimitOffsetTest(_LimitOffsetTest):
- @pytest.mark.skip("BigQuery doesn't allow an offset without a limit.")
- def test_simple_offset(self):
- pass
+if packaging.version.parse(sqlalchemy.__version__) >= packaging.version.parse("2.0"):
+ import uuid
+ from sqlalchemy.sql import type_coerce
+ from sqlalchemy.testing.suite import (
+ TrueDivTest as _TrueDivTest,
+ IntegerTest as _IntegerTest,
+ NumericTest as _NumericTest,
+ StringTest as _StringTest,
+ UuidTest as _UuidTest,
+ )
- test_bound_offset = test_simple_offset
+ class DifficultParametersTest(_DifficultParametersTest):
+ """There are some parameters that don't work with bigquery that were removed from this test"""
+
+ tough_parameters = testing.combinations(
+ ("boring",),
+ ("per cent",),
+ ("per % cent",),
+ ("%percent",),
+ ("col:ons",),
+ ("_starts_with_underscore",),
+ ("more :: %colons%",),
+ ("_name",),
+ ("___name",),
+ ("42numbers",),
+ ("percent%signs",),
+ ("has spaces",),
+ ("1param",),
+ ("1col:on",),
+ argnames="paramname",
+ )
- class TimestampMicrosecondsTest(_TimestampMicrosecondsTest):
- data = datetime.datetime(2012, 10, 15, 12, 57, 18, 396, tzinfo=pytz.UTC)
+ @tough_parameters
+ @config.requirements.unusual_column_name_characters
+ def test_round_trip_same_named_column(self, paramname, connection, metadata):
+ name = paramname
- def test_literal(self):
- # The base tests doesn't set up the literal properly, because
- # it doesn't pass its datatype to `literal`.
+ t = Table(
+ "t",
+ metadata,
+ Column("id", Integer, primary_key=True),
+ Column(name, String(50), nullable=False),
+ )
- def literal(value):
- assert value == self.data
- return sqlalchemy.sql.elements.literal(value, self.datatype)
+ # table is created
+ t.create(connection)
- with mock.patch("sqlalchemy.testing.suite.test_types.literal", literal):
- super(TimestampMicrosecondsTest, self).test_literal()
+ # automatic param generated by insert
+ connection.execute(t.insert().values({"id": 1, name: "some name"}))
+
+ # automatic param generated by criteria, plus selecting the column
+ stmt = select(t.c[name]).where(t.c[name] == "some name")
+
+ eq_(connection.scalar(stmt), "some name")
+
+ # use the name in a param explicitly
+ stmt = select(t.c[name]).where(t.c[name] == bindparam(name))
+
+ row = connection.execute(stmt, {name: "some name"}).first()
+
+ # name works as the key from cursor.description
+ eq_(row._mapping[name], "some name")
+
+ # use expanding IN
+ stmt = select(t.c[name]).where(
+ t.c[name].in_(["some name", "some other_name"])
+ )
+
+ row = connection.execute(stmt).first()
+
+ @testing.fixture
+ def multirow_fixture(self, metadata, connection):
+ mytable = Table(
+ "mytable",
+ metadata,
+ Column("myid", Integer),
+ Column("name", String(50)),
+ Column("desc", String(50)),
+ )
+
+ mytable.create(connection)
+
+ connection.execute(
+ mytable.insert(),
+ [
+ {"myid": 1, "name": "a", "desc": "a_desc"},
+ {"myid": 2, "name": "b", "desc": "b_desc"},
+ {"myid": 3, "name": "c", "desc": "c_desc"},
+ {"myid": 4, "name": "d", "desc": "d_desc"},
+ ],
+ )
+ yield mytable
+
+ @tough_parameters
+ def test_standalone_bindparam_escape(
+ self, paramname, connection, multirow_fixture
+ ):
+ tbl1 = multirow_fixture
+ stmt = select(tbl1.c.myid).where(
+ tbl1.c.name == bindparam(paramname, value="x")
+ )
+ res = connection.scalar(stmt, {paramname: "c"})
+ eq_(res, 3)
+
+ @tough_parameters
+ def test_standalone_bindparam_escape_expanding(
+ self, paramname, connection, multirow_fixture
+ ):
+ tbl1 = multirow_fixture
+ stmt = (
+ select(tbl1.c.myid)
+ .where(tbl1.c.name.in_(bindparam(paramname, value=["a", "b"])))
+ .order_by(tbl1.c.myid)
+ )
+
+ res = connection.scalars(stmt, {paramname: ["d", "a"]}).all()
+ eq_(res, [1, 4])
+
+ # BQ has no autoinc and client-side defaults can't work for select
+ del _IntegerTest.test_huge_int_auto_accommodation
+
+ class NumericTest(_NumericTest):
+ """Added a where clause for BQ compatibility."""
+
+ @testing.fixture
+ def do_numeric_test(self, metadata, connection):
+ def run(type_, input_, output, filter_=None, check_scale=False):
+ t = Table("t", metadata, Column("x", type_))
+ t.create(connection)
+ connection.execute(t.insert(), [{"x": x} for x in input_])
+
+ result = {row[0] for row in connection.execute(t.select())}
+ output = set(output)
+ if filter_:
+ result = {filter_(x) for x in result}
+ output = {filter_(x) for x in output}
+ eq_(result, output)
+ if check_scale:
+ eq_([str(x) for x in result], [str(x) for x in output])
+
+ where_expr = True
+
+ connection.execute(t.delete().where(where_expr))
+
+ if type_.asdecimal:
+ test_value = decimal.Decimal("2.9")
+ add_value = decimal.Decimal("37.12")
+ else:
+ test_value = 2.9
+ add_value = 37.12
+
+ connection.execute(t.insert(), {"x": test_value})
+ assert_we_are_a_number = connection.scalar(
+ select(type_coerce(t.c.x + add_value, type_))
+ )
+ eq_(
+ round(assert_we_are_a_number, 3),
+ round(test_value + add_value, 3),
+ )
+
+ return run
+
+ class TimestampMicrosecondsTest(_TimestampMicrosecondsTest):
+ """BQ has no support for BQ util.text_type"""
+
+ data = datetime.datetime(2012, 10, 15, 12, 57, 18, 396, tzinfo=pytz.UTC)
def test_select_direct(self, connection):
# This func added because this test was failing when passed the
@@ -82,44 +241,243 @@ def literal(value, type_=None):
with mock.patch("sqlalchemy.testing.suite.test_types.literal", literal):
super(TimestampMicrosecondsTest, self).test_select_direct(connection)
-else:
- from sqlalchemy.testing.suite import (
- FetchLimitOffsetTest as _FetchLimitOffsetTest,
- RowCountTest as _RowCountTest,
+ def test_round_trip_executemany(self, connection):
+ unicode_table = self.tables.unicode_table
+ connection.execute(
+ unicode_table.insert(),
+ [{"id": i, "unicode_data": self.data} for i in range(3)],
+ )
+
+ rows = connection.execute(select(unicode_table.c.unicode_data)).fetchall()
+ eq_(rows, [(self.data,) for i in range(3)])
+ for row in rows:
+ assert isinstance(row[0], str)
+
+ sqlalchemy.testing.suite.test_types._UnicodeFixture.test_round_trip_executemany = (
+ test_round_trip_executemany
)
- class FetchLimitOffsetTest(_FetchLimitOffsetTest):
- @pytest.mark.skip("BigQuery doesn't allow an offset without a limit.")
- def test_simple_offset(self):
+ class TrueDivTest(_TrueDivTest):
+ @pytest.mark.skip("BQ rounds based on datatype")
+ def test_floordiv_integer(self):
pass
- test_bound_offset = test_simple_offset
- test_expr_offset = test_simple_offset_zero = test_simple_offset
+ @pytest.mark.skip("BQ rounds based on datatype")
+ def test_floordiv_integer_bound(self):
+ pass
+
+ class SimpleUpdateDeleteTest(_SimpleUpdateDeleteTest):
+ """The base tests fail if operations return rows for some reason."""
+
+ def test_update(self):
+ t = self.tables.plain_pk
+ connection = config.db.connect()
+ # In SQLAlchemy 2.0, the datatype changed to dict in the following function.
+ r = connection.execute(t.update().where(t.c.id == 2), dict(data="d2_new"))
+ assert not r.is_insert
+
+ eq_(
+ connection.execute(t.select().order_by(t.c.id)).fetchall(),
+ [(1, "d1"), (2, "d2_new"), (3, "d3")],
+ )
+
+ def test_delete(self):
+ t = self.tables.plain_pk
+ connection = config.db.connect()
+ r = connection.execute(t.delete().where(t.c.id == 2))
+ assert not r.is_insert
+ eq_(
+ connection.execute(t.select().order_by(t.c.id)).fetchall(),
+ [(1, "d1"), (3, "d3")],
+ )
+
+ class StringTest(_StringTest):
+ """Added a where clause for BQ compatibility"""
+
+ def test_dont_truncate_rightside(
+ self, metadata, connection, expr=None, expected=None
+ ):
+ t = Table(
+ "t",
+ metadata,
+ Column("x", String(2)),
+ Column("id", Integer, primary_key=True),
+ )
+ t.create(connection)
+ connection.connection.commit()
+ connection.execute(
+ t.insert(),
+ [{"x": "AB", "id": 1}, {"x": "BC", "id": 2}, {"x": "AC", "id": 3}],
+ )
+ combinations = [("%B%", ["AB", "BC"]), ("A%C", ["AC"]), ("A%C%Z", [])]
+
+ for args in combinations:
+ eq_(
+ connection.scalars(select(t.c.x).where(t.c.x.like(args[0]))).all(),
+ args[1],
+ )
+
+ class UuidTest(_UuidTest):
+ """BQ needs to pass in UUID as a string"""
+
+ @classmethod
+ def define_tables(cls, metadata):
+ Table(
+ "uuid_table",
+ metadata,
+ Column("id", Integer, primary_key=True, test_needs_autoincrement=True),
+ Column("uuid_data", String), # Use native UUID for primary data
+ Column(
+ "uuid_text_data", String, nullable=True
+ ), # Optional text representation
+ Column("uuid_data_nonnative", String),
+ Column("uuid_text_data_nonnative", String),
+ )
+
+ def test_uuid_round_trip(self, connection):
+ data = str(uuid.uuid4())
+ uuid_table = self.tables.uuid_table
+
+ connection.execute(
+ uuid_table.insert(),
+ {"id": 1, "uuid_data": data, "uuid_data_nonnative": data},
+ )
+ row = connection.execute(
+ select(uuid_table.c.uuid_data, uuid_table.c.uuid_data_nonnative).where(
+ uuid_table.c.uuid_data == data,
+ uuid_table.c.uuid_data_nonnative == data,
+ )
+ ).first()
+ eq_(row, (data, data))
- # The original test is missing an order by.
+ def test_uuid_text_round_trip(self, connection):
+ data = str(uuid.uuid4())
+ uuid_table = self.tables.uuid_table
- # Also, note that sqlalchemy union is a union distinct, not a
- # union all. This test caught that were were getting that wrong.
- def test_limit_render_multiple_times(self, connection):
- table = self.tables.some_table
- stmt = select(table.c.id).order_by(table.c.id).limit(1).scalar_subquery()
+ connection.execute(
+ uuid_table.insert(),
+ {
+ "id": 1,
+ "uuid_text_data": data,
+ "uuid_text_data_nonnative": data,
+ },
+ )
+ row = connection.execute(
+ select(
+ uuid_table.c.uuid_text_data,
+ uuid_table.c.uuid_text_data_nonnative,
+ ).where(
+ uuid_table.c.uuid_text_data == data,
+ uuid_table.c.uuid_text_data_nonnative == data,
+ )
+ ).first()
+ eq_((row[0].lower(), row[1].lower()), (data, data))
+
+ def test_literal_uuid(self, literal_round_trip):
+ data = str(uuid.uuid4())
+ literal_round_trip(String(), [data], [data])
+
+ def test_literal_text(self, literal_round_trip):
+ data = str(uuid.uuid4())
+ literal_round_trip(
+ String(),
+ [data],
+ [data],
+ filter_=lambda x: x.lower(),
+ )
- u = sqlalchemy.union(select(stmt), select(stmt)).subquery().select()
+ def test_literal_nonnative_uuid(self, literal_round_trip):
+ data = str(uuid.uuid4())
+ literal_round_trip(String(), [data], [data])
+
+ def test_literal_nonnative_text(self, literal_round_trip):
+ data = str(uuid.uuid4())
+ literal_round_trip(
+ String(),
+ [data],
+ [data],
+ filter_=lambda x: x.lower(),
+ )
- self._assert_result(
- connection,
- u,
- [(1,)],
+ @testing.requires.insert_returning
+ def test_uuid_returning(self, connection):
+ data = str(uuid.uuid4())
+ str_data = str(data)
+ uuid_table = self.tables.uuid_table
+
+ result = connection.execute(
+ uuid_table.insert().returning(
+ uuid_table.c.uuid_data,
+ uuid_table.c.uuid_text_data,
+ uuid_table.c.uuid_data_nonnative,
+ uuid_table.c.uuid_text_data_nonnative,
+ ),
+ {
+ "id": 1,
+ "uuid_data": data,
+ "uuid_text_data": str_data,
+ "uuid_data_nonnative": data,
+ "uuid_text_data_nonnative": str_data,
+ },
)
+ row = result.first()
+
+ eq_(row, (data, str_data, data, str_data))
+
+else:
+ from sqlalchemy.testing.suite import (
+ RowCountTest as _RowCountTest,
+ )
del DifficultParametersTest # exercises column names illegal in BQ
- del DistinctOnTest # expects unquoted table names.
- del HasIndexTest # BQ doesn't do the indexes that SQLA is loooking for.
- del IdentityAutoincrementTest # BQ doesn't do autoincrement
- # This test makes makes assertions about generated sql and trips
- # over the backquotes that we add everywhere. XXX Why do we do that?
- del PostCompileParamsTest
+ class RowCountTest(_RowCountTest):
+ """"""
+
+ @classmethod
+ def insert_data(cls, connection):
+ cls.data = data = [
+ ("Angela", "A"),
+ ("Andrew", "A"),
+ ("Anand", "A"),
+ ("Bob", "B"),
+ ("Bobette", "B"),
+ ("Buffy", "B"),
+ ("Charlie", "C"),
+ ("Cynthia", "C"),
+ ("Chris", "C"),
+ ]
+
+ employees_table = cls.tables.employees
+ connection.execute(
+ employees_table.insert(),
+ [
+ {"employee_id": i, "name": n, "department": d}
+ for i, (n, d) in enumerate(data)
+ ],
+ )
+
+ class SimpleUpdateDeleteTest(_SimpleUpdateDeleteTest):
+ """The base tests fail if operations return rows for some reason."""
+
+ def test_update(self):
+ t = self.tables.plain_pk
+ r = config.db.execute(t.update().where(t.c.id == 2), data="d2_new")
+ assert not r.is_insert
+
+ eq_(
+ config.db.execute(t.select().order_by(t.c.id)).fetchall(),
+ [(1, "d1"), (2, "d2_new"), (3, "d3")],
+ )
+
+ def test_delete(self):
+ t = self.tables.plain_pk
+ r = config.db.execute(t.delete().where(t.c.id == 2))
+ assert not r.is_insert
+ eq_(
+ config.db.execute(t.select().order_by(t.c.id)).fetchall(),
+ [(1, "d1"), (3, "d3")],
+ )
class TimestampMicrosecondsTest(_TimestampMicrosecondsTest):
data = datetime.datetime(2012, 10, 15, 12, 57, 18, 396, tzinfo=pytz.UTC)
@@ -171,40 +529,14 @@ def test_round_trip_executemany(self, connection):
test_round_trip_executemany
)
- class RowCountTest(_RowCountTest):
- @classmethod
- def insert_data(cls, connection):
- cls.data = data = [
- ("Angela", "A"),
- ("Andrew", "A"),
- ("Anand", "A"),
- ("Bob", "B"),
- ("Bobette", "B"),
- ("Buffy", "B"),
- ("Charlie", "C"),
- ("Cynthia", "C"),
- ("Chris", "C"),
- ]
-
- employees_table = cls.tables.employees
- connection.execute(
- employees_table.insert(),
- [
- {"employee_id": i, "name": n, "department": d}
- for i, (n, d) in enumerate(data)
- ],
- )
-
-
-# Quotes aren't allowed in BigQuery table names.
-del QuotedNameArgumentTest
+class CTETest(_CTETest):
+ @pytest.mark.skip("Can't use CTEs with insert")
+ def test_insert_from_select_round_trip(self):
+ pass
-class InsertBehaviorTest(_InsertBehaviorTest):
- @pytest.mark.skip(
- "BQ has no autoinc and client-side defaults can't work for select."
- )
- def test_insert_from_select_autoinc(cls):
+ @pytest.mark.skip("Recusive CTEs aren't supported.")
+ def test_select_recursive_round_trip(self):
pass
@@ -220,7 +552,7 @@ def test_select_exists(self, connection):
stuff = self.tables.stuff
eq_(
connection.execute(
- select([stuff.c.id]).where(
+ select(stuff.c.id).where(
and_(
stuff.c.id == 1,
exists().where(stuff.c.data == "some data"),
@@ -234,58 +566,71 @@ def test_select_exists_false(self, connection):
stuff = self.tables.stuff
eq_(
connection.execute(
- select([stuff.c.id]).where(exists().where(stuff.c.data == "no data"))
+ select(stuff.c.id).where(exists().where(stuff.c.data == "no data"))
).fetchall(),
[],
)
-# This test requires features (indexes, primary keys, etc., that BigQuery doesn't have.
-del LongNameBlowoutTest
-
+class FetchLimitOffsetTest(_FetchLimitOffsetTest):
+ @pytest.mark.skip("BigQuery doesn't allow an offset without a limit.")
+ def test_simple_offset(self):
+ pass
-class SimpleUpdateDeleteTest(_SimpleUpdateDeleteTest):
- """The base tests fail if operations return rows for some reason."""
+ test_bound_offset = test_simple_offset
+ test_expr_offset = test_simple_offset_zero = test_simple_offset
+ test_limit_offset_nobinds = test_simple_offset # TODO figure out
+ # how to prevent this from failing
+ # The original test is missing an order by.
- def test_update(self):
- t = self.tables.plain_pk
- r = config.db.execute(t.update().where(t.c.id == 2), data="d2_new")
- assert not r.is_insert
- # assert not r.returns_rows
+ # Also, note that sqlalchemy union is a union distinct, not a
+ # union all. This test caught that were were getting that wrong.
+ def test_limit_render_multiple_times(self, connection):
+ table = self.tables.some_table
+ stmt = select(table.c.id).order_by(table.c.id).limit(1).scalar_subquery()
- eq_(
- config.db.execute(t.select().order_by(t.c.id)).fetchall(),
- [(1, "d1"), (2, "d2_new"), (3, "d3")],
- )
+ u = sqlalchemy.union(select(stmt), select(stmt)).subquery().select()
- def test_delete(self):
- t = self.tables.plain_pk
- r = config.db.execute(t.delete().where(t.c.id == 2))
- assert not r.is_insert
- # assert not r.returns_rows
- eq_(
- config.db.execute(t.select().order_by(t.c.id)).fetchall(),
- [(1, "d1"), (3, "d3")],
+ self._assert_result(
+ connection,
+ u,
+ [(1,)],
)
-class CTETest(_CTETest):
- @pytest.mark.skip("Can't use CTEs with insert")
- def test_insert_from_select_round_trip(self):
- pass
-
- @pytest.mark.skip("Recusive CTEs aren't supported.")
- def test_select_recursive_round_trip(self):
+class InsertBehaviorTest(_InsertBehaviorTest):
+ @pytest.mark.skip(
+ "BQ has no autoinc and client-side defaults can't work for select."
+ )
+ def test_insert_from_select_autoinc(cls):
pass
-
-class ComponentReflectionTest(_ComponentReflectionTest):
- @pytest.mark.skip("Big query types don't track precision, length, etc.")
- def course_grained_types():
+ @pytest.mark.skip(
+ "BQ has no autoinc and client-side defaults can't work for select."
+ )
+ def test_no_results_for_non_returning_insert(cls):
pass
- test_numeric_reflection = test_varchar_reflection = course_grained_types
- @pytest.mark.skip("BQ doesn't have indexes (in the way these tests expect).")
- def test_get_indexes(self):
- pass
+del ComponentReflectionTest # Multiple tests re: CHECK CONSTRAINTS, etc which
+# BQ does not support
+# class ComponentReflectionTest(_ComponentReflectionTest):
+# @pytest.mark.skip("Big query types don't track precision, length, etc.")
+# def course_grained_types():
+# pass
+
+# test_numeric_reflection = test_varchar_reflection = course_grained_types
+
+# @pytest.mark.skip("BQ doesn't have indexes (in the way these tests expect).")
+# def test_get_indexes(self):
+# pass
+
+del ArrayTest # only appears to apply to postgresql
+del BizarroCharacterFKResolutionTest
+del HasTableTest.test_has_table_cache # TODO confirm whether BQ has table caching
+del DistinctOnTest # expects unquoted table names.
+del HasIndexTest # BQ doesn't do the indexes that SQLA is loooking for.
+del IdentityAutoincrementTest # BQ doesn't do autoincrement
+del LongNameBlowoutTest # Requires features (indexes, primary keys, etc., that BigQuery doesn't have.
+del PostCompileParamsTest # BQ adds backticks to bind parameters, causing failure of tests TODO: fix this?
+del QuotedNameArgumentTest # Quotes aren't allowed in BigQuery table names.
diff --git a/tests/system/test__struct.py b/tests/system/test__struct.py
index bb7958c9..69d2ba76 100644
--- a/tests/system/test__struct.py
+++ b/tests/system/test__struct.py
@@ -54,7 +54,7 @@ def test_struct(engine, bigquery_dataset, metadata):
)
)
- assert list(conn.execute(sqlalchemy.select([table]))) == [
+ assert list(conn.execute(sqlalchemy.select(table))) == [
(
{
"name": "bob",
@@ -62,16 +62,16 @@ def test_struct(engine, bigquery_dataset, metadata):
},
)
]
- assert list(conn.execute(sqlalchemy.select([table.c.person.NAME]))) == [("bob",)]
- assert list(conn.execute(sqlalchemy.select([table.c.person.children[0]]))) == [
+ assert list(conn.execute(sqlalchemy.select(table.c.person.NAME))) == [("bob",)]
+ assert list(conn.execute(sqlalchemy.select(table.c.person.children[0]))) == [
({"name": "billy", "bdate": datetime.date(2020, 1, 1)},)
]
- assert list(
- conn.execute(sqlalchemy.select([table.c.person.children[0].bdate]))
- ) == [(datetime.date(2020, 1, 1),)]
+ assert list(conn.execute(sqlalchemy.select(table.c.person.children[0].bdate))) == [
+ (datetime.date(2020, 1, 1),)
+ ]
assert list(
conn.execute(
- sqlalchemy.select([table]).where(table.c.person.children[0].NAME == "billy")
+ sqlalchemy.select(table).where(table.c.person.children[0].NAME == "billy")
)
) == [
(
@@ -84,7 +84,7 @@ def test_struct(engine, bigquery_dataset, metadata):
assert (
list(
conn.execute(
- sqlalchemy.select([table]).where(
+ sqlalchemy.select(table).where(
table.c.person.children[0].NAME == "sally"
)
)
@@ -99,21 +99,22 @@ def test_complex_literals_pr_67(engine, bigquery_dataset, metadata):
# Simple select example:
table_name = f"{bigquery_dataset}.test_comples_literals_pr_67"
- engine.execute(
- f"""
- create table {table_name} as (
- select 'a' as id,
- struct(1 as x__count, 2 as y__count, 3 as z__count) as dimensions
+ with engine.connect() as conn:
+ conn.execute(
+ sqlalchemy.text(
+ f"""
+ create table {table_name} as (
+ select 'a' as id,
+ struct(1 as x__count, 2 as y__count, 3 as z__count) as dimensions
+ )
+ """
)
- """
- )
+ )
table = sqlalchemy.Table(table_name, metadata, autoload_with=engine)
got = str(
- sqlalchemy.select([(table.c.dimensions.x__count + 5).label("c")]).compile(
- engine
- )
+ sqlalchemy.select((table.c.dimensions.x__count + 5).label("c")).compile(engine)
)
want = (
f"SELECT (`{table_name}`.`dimensions`.x__count) + %(param_1:INT64)s AS `c` \n"
@@ -149,9 +150,11 @@ def test_unnest_and_struct_access_233(engine, bigquery_dataset, metadata):
conn.execute(
mock_table.insert(),
- dict(mock_id="x"),
- dict(mock_id="y"),
- dict(mock_id="z"),
+ [
+ dict(mock_id="x"),
+ dict(mock_id="y"),
+ dict(mock_id="z"),
+ ],
)
conn.execute(
another_mock_table.insert(),
diff --git a/tests/system/test_alembic.py b/tests/system/test_alembic.py
index 1948a19a..30308c68 100644
--- a/tests/system/test_alembic.py
+++ b/tests/system/test_alembic.py
@@ -23,7 +23,7 @@
from sqlalchemy import Column, DateTime, Integer, String, Numeric
import google.api_core.exceptions
-from google.cloud.bigquery import SchemaField
+from google.cloud.bigquery import SchemaField, TimePartitioning
alembic = pytest.importorskip("alembic")
@@ -138,15 +138,12 @@ def test_alembic_scenario(alembic_table):
op.drop_table("accounts")
assert alembic_table("accounts") is None
- op.execute(
- """
- create table transactions(
- account INT64 NOT NULL,
- transaction_time DATETIME NOT NULL,
- amount NUMERIC(11, 2) NOT NULL
- )
- partition by DATE(transaction_time)
- """
+ op.create_table(
+ "transactions",
+ Column("account", Integer, nullable=False),
+ Column("transaction_time", DateTime(), nullable=False),
+ Column("amount", Numeric(11, 2), nullable=False),
+ bigquery_time_partitioning=TimePartitioning(field="transaction_time"),
)
op.alter_column("transactions", "amount", nullable=True)
diff --git a/tests/system/test_geography.py b/tests/system/test_geography.py
index 7189eebb..c04748af 100644
--- a/tests/system/test_geography.py
+++ b/tests/system/test_geography.py
@@ -74,7 +74,7 @@ def test_geoalchemy2_core(bigquery_dataset):
from sqlalchemy.sql import select
assert sorted(
- (r.name, r.geog.desc[:4]) for r in conn.execute(select([lake_table]))
+ (r.name, r.geog.desc[:4]) for r in conn.execute(select(lake_table))
) == [("Garde", "0103"), ("Majeur", "0103"), ("Orta", "0103")]
# Spatial query
@@ -82,26 +82,32 @@ def test_geoalchemy2_core(bigquery_dataset):
from sqlalchemy import func
[[result]] = conn.execute(
- select([lake_table.c.name], func.ST_Contains(lake_table.c.geog, "POINT(4 1)"))
+ select(lake_table.c.name).where(
+ func.ST_Contains(lake_table.c.geog, "POINT(4 1)")
+ )
)
assert result == "Orta"
assert sorted(
(r.name, int(r.area))
for r in conn.execute(
- select([lake_table.c.name, lake_table.c.geog.ST_AREA().label("area")])
+ select(lake_table.c.name, lake_table.c.geog.ST_AREA().label("area"))
)
) == [("Garde", 49452374328), ("Majeur", 12364036567), ("Orta", 111253664228)]
# Extra: Make sure we can save a retrieved value back:
- [[geog]] = conn.execute(select([lake_table.c.geog], lake_table.c.name == "Garde"))
+ [[geog]] = conn.execute(
+ select(lake_table.c.geog).where(lake_table.c.name == "Garde")
+ )
conn.execute(lake_table.insert().values(name="test", geog=geog))
assert (
int(
list(
conn.execute(
- select([lake_table.c.geog.st_area()], lake_table.c.name == "test")
+ select(lake_table.c.geog.st_area()).where(
+ lake_table.c.name == "test"
+ )
)
)[0][0]
)
@@ -122,7 +128,9 @@ def test_geoalchemy2_core(bigquery_dataset):
int(
list(
conn.execute(
- select([lake_table.c.geog.st_area()], lake_table.c.name == "test2")
+ select(lake_table.c.geog.st_area()).where(
+ lake_table.c.name == "test2"
+ )
)
)[0][0]
)
diff --git a/tests/system/test_sqlalchemy_bigquery.py b/tests/system/test_sqlalchemy_bigquery.py
index 62b534ff..457a8ea8 100644
--- a/tests/system/test_sqlalchemy_bigquery.py
+++ b/tests/system/test_sqlalchemy_bigquery.py
@@ -22,6 +22,8 @@
import datetime
import decimal
+from google.cloud.bigquery import TimePartitioning
+
from sqlalchemy.engine import create_engine
from sqlalchemy.schema import Table, MetaData, Column
from sqlalchemy.ext.declarative import declarative_base
@@ -155,24 +157,22 @@ def engine_with_location():
@pytest.fixture(scope="session")
def table(engine, bigquery_dataset):
- return Table(f"{bigquery_dataset}.sample", MetaData(bind=engine), autoload=True)
+ return Table(f"{bigquery_dataset}.sample", MetaData(), autoload_with=engine)
@pytest.fixture(scope="session")
def table_using_test_dataset(engine_using_test_dataset):
- return Table("sample", MetaData(bind=engine_using_test_dataset), autoload=True)
+ return Table("sample", MetaData(), autoload_with=engine_using_test_dataset)
@pytest.fixture(scope="session")
def table_one_row(engine, bigquery_dataset):
- return Table(
- f"{bigquery_dataset}.sample_one_row", MetaData(bind=engine), autoload=True
- )
+ return Table(f"{bigquery_dataset}.sample_one_row", MetaData(), autoload_with=engine)
@pytest.fixture(scope="session")
def table_dml(engine, bigquery_empty_table):
- return Table(bigquery_empty_table, MetaData(bind=engine), autoload=True)
+ return Table(bigquery_empty_table, MetaData(), autoload_with=engine)
@pytest.fixture(scope="session")
@@ -214,7 +214,7 @@ def query(table):
.label("outer")
)
query = (
- select([col1, col2, col3])
+ select(col1, col2, col3)
.where(col1 < "2017-01-01 00:00:00")
.group_by(col1)
.order_by(col2)
@@ -225,37 +225,47 @@ def query(table):
def test_engine_with_dataset(engine_using_test_dataset, bigquery_dataset):
- rows = engine_using_test_dataset.execute("SELECT * FROM sample_one_row").fetchall()
- assert list(rows[0]) == ONE_ROW_CONTENTS
+ with engine_using_test_dataset.connect() as conn:
+ rows = conn.execute(sqlalchemy.text("SELECT * FROM sample_one_row")).fetchall()
+ assert list(rows[0]) == ONE_ROW_CONTENTS
- table_one_row = Table(
- "sample_one_row", MetaData(bind=engine_using_test_dataset), autoload=True
- )
- rows = table_one_row.select(use_labels=True).execute().fetchall()
- assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
+ table_one_row = Table(
+ "sample_one_row", MetaData(), autoload_with=engine_using_test_dataset
+ )
+ rows = conn.execute(
+ table_one_row.select().set_label_style(
+ sqlalchemy.LABEL_STYLE_TABLENAME_PLUS_COL
+ )
+ ).fetchall()
+ assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
- table_one_row = Table(
- f"{bigquery_dataset}.sample_one_row",
- MetaData(bind=engine_using_test_dataset),
- autoload=True,
- )
- rows = table_one_row.select(use_labels=True).execute().fetchall()
- # verify that we are pulling from the specifically-named dataset,
- # instead of pulling from the default dataset of the engine (which
- # does not have this table at all)
- assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
+ table_one_row = Table(
+ f"{bigquery_dataset}.sample_one_row",
+ MetaData(),
+ autoload_with=engine_using_test_dataset,
+ )
+ rows = conn.execute(
+ table_one_row.select().set_label_style(
+ sqlalchemy.LABEL_STYLE_TABLENAME_PLUS_COL
+ )
+ ).fetchall()
+ # verify that we are pulling from the specifically-named dataset,
+ # instead of pulling from the default dataset of the engine (which
+ # does not have this table at all)
+ assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
def test_dataset_location(
engine_with_location, bigquery_dataset, bigquery_regional_dataset
):
- rows = engine_with_location.execute(
- f"SELECT * FROM {bigquery_regional_dataset}.sample_one_row"
- ).fetchall()
- assert list(rows[0]) == ONE_ROW_CONTENTS
+ with engine_with_location.connect() as conn:
+ rows = conn.execute(
+ sqlalchemy.text(f"SELECT * FROM {bigquery_regional_dataset}.sample_one_row")
+ ).fetchall()
+ assert list(rows[0]) == ONE_ROW_CONTENTS
-def test_reflect_select(table, table_using_test_dataset):
+def test_reflect_select(table, engine_using_test_dataset, table_using_test_dataset):
for table in [table, table_using_test_dataset]:
assert table.comment == "A sample table containing most data types."
@@ -276,61 +286,73 @@ def test_reflect_select(table, table_using_test_dataset):
assert isinstance(table.c["nested_record.record.name"].type, types.String)
assert isinstance(table.c.array.type, types.ARRAY)
- # Force unique column labels using `use_labels` below to deal
- # with BQ sometimes complaining about duplicate column names
- # when a destination table is specified, even though no
- # destination table is specified. When this test was written,
- # `use_labels` was forced by the dialect.
- rows = table.select(use_labels=True).execute().fetchall()
- assert len(rows) == 1000
+ with engine_using_test_dataset.connect() as conn:
+ rows = conn.execute(
+ table.select().set_label_style(
+ sqlalchemy.LABEL_STYLE_TABLENAME_PLUS_COL
+ )
+ ).fetchall()
+ assert len(rows) == 1000
def test_content_from_raw_queries(engine, bigquery_dataset):
- rows = engine.execute(f"SELECT * FROM {bigquery_dataset}.sample_one_row").fetchall()
- assert list(rows[0]) == ONE_ROW_CONTENTS
+ with engine.connect() as conn:
+ rows = conn.execute(
+ sqlalchemy.text(f"SELECT * FROM {bigquery_dataset}.sample_one_row")
+ ).fetchall()
+ assert list(rows[0]) == ONE_ROW_CONTENTS
def test_record_content_from_raw_queries(engine, bigquery_dataset):
- rows = engine.execute(
- f"SELECT record.name FROM {bigquery_dataset}.sample_one_row"
- ).fetchall()
- assert rows[0][0] == "John Doe"
+ with engine.connect() as conn:
+ rows = conn.execute(
+ sqlalchemy.text(
+ f"SELECT record.name FROM {bigquery_dataset}.sample_one_row"
+ )
+ ).fetchall()
+ assert rows[0][0] == "John Doe"
def test_content_from_reflect(engine, table_one_row):
- rows = table_one_row.select(use_labels=True).execute().fetchall()
- assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
+ with engine.connect() as conn:
+ rows = conn.execute(
+ table_one_row.select().set_label_style(
+ sqlalchemy.LABEL_STYLE_TABLENAME_PLUS_COL
+ )
+ ).fetchall()
+ assert list(rows[0]) == ONE_ROW_CONTENTS_EXPANDED
def test_unicode(engine, table_one_row):
unicode_str = "白人看不懂"
- returned_str = sqlalchemy.select(
- [expression.bindparam("好", unicode_str)],
- from_obj=table_one_row,
- ).scalar()
+ with engine.connect() as conn:
+ returned_str = conn.execute(
+ sqlalchemy.select(expression.bindparam("好", unicode_str)).select_from(
+ table_one_row
+ )
+ ).scalar()
assert returned_str == unicode_str
def test_reflect_select_shared_table(engine):
one_row = Table(
- "bigquery-public-data.samples.natality", MetaData(bind=engine), autoload=True
+ "bigquery-public-data.samples.natality", MetaData(), autoload_with=engine
)
- row = one_row.select().limit(1).execute().first()
- assert len(row) >= 1
+ with engine.connect() as conn:
+ row = conn.execute(one_row.select().limit(1)).first()
+ assert len(row) >= 1
def test_reflect_table_does_not_exist(engine, bigquery_dataset):
with pytest.raises(NoSuchTableError):
Table(
f"{bigquery_dataset}.table_does_not_exist",
- MetaData(bind=engine),
- autoload=True,
+ MetaData(),
+ autoload_with=engine,
)
assert (
- Table(
- f"{bigquery_dataset}.table_does_not_exist", MetaData(bind=engine)
- ).exists()
+ sqlalchemy.inspect(engine).has_table(f"{bigquery_dataset}.table_does_not_exist")
is False
)
@@ -339,18 +361,18 @@ def test_reflect_dataset_does_not_exist(engine):
with pytest.raises(NoSuchTableError):
Table(
"dataset_does_not_exist.table_does_not_exist",
- MetaData(bind=engine),
- autoload=True,
+ MetaData(),
+ autoload_with=engine,
)
def test_tables_list(engine, engine_using_test_dataset, bigquery_dataset):
- tables = engine.table_names()
+ tables = sqlalchemy.inspect(engine).get_table_names()
assert f"{bigquery_dataset}.sample" in tables
assert f"{bigquery_dataset}.sample_one_row" in tables
assert f"{bigquery_dataset}.sample_view" not in tables
- tables = engine_using_test_dataset.table_names()
+ tables = sqlalchemy.inspect(engine_using_test_dataset).get_table_names()
assert "sample" in tables
assert "sample_one_row" in tables
assert "sample_view" not in tables
@@ -377,13 +399,13 @@ def test_nested_labels(engine, table):
sqlalchemy.func.sum(col.label("inner")).label("outer")
).over(),
sqlalchemy.func.sum(
- sqlalchemy.case([[sqlalchemy.literal(True), col.label("inner")]]).label(
+ sqlalchemy.case((sqlalchemy.literal(True), col.label("inner"))).label(
"outer"
)
),
sqlalchemy.func.sum(
sqlalchemy.func.sum(
- sqlalchemy.case([[sqlalchemy.literal(True), col.label("inner")]]).label(
+ sqlalchemy.case((sqlalchemy.literal(True), col.label("inner"))).label(
"middle"
)
).label("outer")
@@ -410,7 +432,7 @@ def test_session_query(
col_concat,
func.avg(table.c.integer),
func.sum(
- case([(table.c.boolean == sqlalchemy.literal(True), 1)], else_=0)
+ case((table.c.boolean == sqlalchemy.literal(True), 1), else_=0)
),
)
.group_by(table.c.string, col_concat)
@@ -443,13 +465,14 @@ def test_custom_expression(
):
"""GROUP BY clause should use labels instead of expressions"""
q = query(table)
- result = engine.execute(q).fetchall()
- assert len(result) > 0
+ with engine.connect() as conn:
+ result = conn.execute(q).fetchall()
+ assert len(result) > 0
q = query(table_using_test_dataset)
- result = engine_using_test_dataset.execute(q).fetchall()
-
- assert len(result) > 0
+ with engine_using_test_dataset.connect() as conn:
+ result = conn.execute(q).fetchall()
+ assert len(result) > 0
def test_compiled_query_literal_binds(
@@ -457,15 +480,17 @@ def test_compiled_query_literal_binds(
):
q = query(table)
compiled = q.compile(engine, compile_kwargs={"literal_binds": True})
- result = engine.execute(compiled).fetchall()
- assert len(result) > 0
+ with engine.connect() as conn:
+ result = conn.execute(compiled).fetchall()
+ assert len(result) > 0
q = query(table_using_test_dataset)
compiled = q.compile(
engine_using_test_dataset, compile_kwargs={"literal_binds": True}
)
- result = engine_using_test_dataset.execute(compiled).fetchall()
- assert len(result) > 0
+ with engine_using_test_dataset.connect() as conn:
+ result = conn.execute(compiled).fetchall()
+ assert len(result) > 0
@pytest.mark.parametrize(
@@ -494,31 +519,46 @@ def test_joins(session, table, table_one_row):
def test_querying_wildcard_tables(engine):
table = Table(
- "bigquery-public-data.noaa_gsod.gsod*", MetaData(bind=engine), autoload=True
+ "bigquery-public-data.noaa_gsod.gsod*", MetaData(), autoload_with=engine
)
- rows = table.select().limit(1).execute().first()
- assert len(rows) > 0
+ with engine.connect() as conn:
+ rows = conn.execute(table.select().limit(1)).first()
+ assert len(rows) > 0
def test_dml(engine, session, table_dml):
- # test insert
- engine.execute(table_dml.insert(ONE_ROW_CONTENTS_DML))
- result = table_dml.select(use_labels=True).execute().fetchall()
- assert len(result) == 1
-
- # test update
- session.query(table_dml).filter(table_dml.c.string == "test").update(
- {"string": "updated_row"}, synchronize_session=False
- )
- updated_result = table_dml.select(use_labels=True).execute().fetchone()
- assert updated_result[table_dml.c.string] == "updated_row"
+ """
+ Test DML operations on a table with no data. This table is created
+ in the `bigquery_empty_table` fixture.
- # test delete
- session.query(table_dml).filter(table_dml.c.string == "updated_row").delete(
- synchronize_session=False
- )
- result = table_dml.select(use_labels=True).execute().fetchall()
- assert len(result) == 0
+ Modern versions of sqlalchemy does not really require setting the
+ label style. This has been maintained to retain this test.
+ """
+ # test insert
+ with engine.connect() as conn:
+ conn.execute(table_dml.insert().values(ONE_ROW_CONTENTS_DML))
+ result = conn.execute(
+ table_dml.select().set_label_style(sqlalchemy.LABEL_STYLE_DEFAULT)
+ ).fetchall()
+ assert len(result) == 1
+
+ # test update
+ session.query(table_dml).filter(table_dml.c.string == "test").update(
+ {"string": "updated_row"}, synchronize_session=False
+ )
+ updated_result = conn.execute(
+ table_dml.select().set_label_style(sqlalchemy.LABEL_STYLE_DEFAULT)
+ ).fetchone()
+ assert updated_result._mapping[table_dml.c.string] == "updated_row"
+
+ # test delete
+ session.query(table_dml).filter(table_dml.c.string == "updated_row").delete(
+ synchronize_session=False
+ )
+ result = conn.execute(
+ table_dml.select().set_label_style(sqlalchemy.LABEL_STYLE_DEFAULT)
+ ).fetchall()
+ assert len(result) == 0
def test_create_table(engine, bigquery_dataset):
@@ -539,6 +579,14 @@ def test_create_table(engine, bigquery_dataset):
Column("binary_c", sqlalchemy.BINARY),
bigquery_description="test table description",
bigquery_friendly_name="test table name",
+ bigquery_expiration_timestamp=datetime.datetime(2183, 3, 26, 8, 30, 0),
+ bigquery_time_partitioning=TimePartitioning(
+ field="timestamp_c",
+ expiration_ms=1000 * 60 * 60 * 24 * 30, # 30 days
+ ),
+ bigquery_require_partition_filter=True,
+ bigquery_default_rounding_mode="ROUND_HALF_EVEN",
+ bigquery_clustering_fields=["integer_c", "decimal_c"],
)
meta.create_all(engine)
meta.drop_all(engine)
@@ -594,17 +642,7 @@ def test_view_names(inspector, inspector_using_test_dataset, bigquery_dataset):
def test_get_indexes(inspector, inspector_using_test_dataset, bigquery_dataset):
for _ in [f"{bigquery_dataset}.sample", f"{bigquery_dataset}.sample_one_row"]:
indexes = inspector.get_indexes(f"{bigquery_dataset}.sample")
- assert len(indexes) == 2
- assert indexes[0] == {
- "name": "partition",
- "column_names": ["timestamp"],
- "unique": False,
- }
- assert indexes[1] == {
- "name": "clustering",
- "column_names": ["integer", "string"],
- "unique": False,
- }
+ assert len(indexes) == 0
def test_get_columns(inspector, inspector_using_test_dataset, bigquery_dataset):
@@ -679,16 +717,34 @@ def test_invalid_table_reference(
def test_has_table(engine, engine_using_test_dataset, bigquery_dataset):
- assert engine.has_table("sample", bigquery_dataset) is True
- assert engine.has_table(f"{bigquery_dataset}.sample") is True
- assert engine.has_table(f"{bigquery_dataset}.nonexistent_table") is False
- assert engine.has_table("nonexistent_table", "nonexistent_dataset") is False
+ assert sqlalchemy.inspect(engine).has_table("sample", bigquery_dataset) is True
+ assert sqlalchemy.inspect(engine).has_table(f"{bigquery_dataset}.sample") is True
+ assert (
+ sqlalchemy.inspect(engine).has_table(f"{bigquery_dataset}.nonexistent_table")
+ is False
+ )
+ assert (
+ sqlalchemy.inspect(engine).has_table("nonexistent_table", "nonexistent_dataset")
+ is False
+ )
- assert engine_using_test_dataset.has_table("sample") is True
- assert engine_using_test_dataset.has_table("sample", bigquery_dataset) is True
- assert engine_using_test_dataset.has_table(f"{bigquery_dataset}.sample") is True
+ assert sqlalchemy.inspect(engine_using_test_dataset).has_table("sample") is True
+ assert (
+ sqlalchemy.inspect(engine_using_test_dataset).has_table(
+ "sample", bigquery_dataset
+ )
+ is True
+ )
+ assert (
+ sqlalchemy.inspect(engine_using_test_dataset).has_table(
+ f"{bigquery_dataset}.sample"
+ )
+ is True
+ )
- assert engine_using_test_dataset.has_table("sample_alt") is False
+ assert (
+ sqlalchemy.inspect(engine_using_test_dataset).has_table("sample_alt") is False
+ )
def test_distinct_188(engine, bigquery_dataset):
@@ -735,7 +791,7 @@ def test_huge_in():
try:
assert list(
conn.execute(
- sqlalchemy.select([sqlalchemy.literal(-1).in_(list(range(99999)))])
+ sqlalchemy.select(sqlalchemy.literal(-1).in_(list(range(99999))))
)
) == [(False,)]
except Exception:
@@ -765,7 +821,7 @@ def test_unnest(engine, bigquery_dataset):
conn.execute(
table.insert(), [dict(objects=["a", "b", "c"]), dict(objects=["x", "y"])]
)
- query = select([func.unnest(table.c.objects).alias("foo_objects").column])
+ query = select(func.unnest(table.c.objects).alias("foo_objects").column)
compiled = str(query.compile(engine))
assert " ".join(compiled.strip().split()) == (
f"SELECT `foo_objects`"
@@ -800,10 +856,8 @@ def test_unnest_with_cte(engine, bigquery_dataset):
)
selectable = select(table.c).select_from(table).cte("cte")
query = select(
- [
- selectable.c.foo,
- func.unnest(selectable.c.bars).column_valued("unnest_bars"),
- ]
+ selectable.c.foo,
+ func.unnest(selectable.c.bars).column_valued("unnest_bars"),
).select_from(selectable)
compiled = str(query.compile(engine))
assert " ".join(compiled.strip().split()) == (
diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py
index f808b380..c75113a9 100644
--- a/tests/unit/conftest.py
+++ b/tests/unit/conftest.py
@@ -25,21 +25,19 @@
import pytest
import sqlalchemy
+from sqlalchemy_bigquery.base import BigQueryDDLCompiler, BigQueryDialect
+
from . import fauxdbi
sqlalchemy_version = packaging.version.parse(sqlalchemy.__version__)
-sqlalchemy_1_3_or_higher = pytest.mark.skipif(
- sqlalchemy_version < packaging.version.parse("1.3"),
- reason="requires sqlalchemy 1.3 or higher",
+sqlalchemy_before_2_0 = pytest.mark.skipif(
+ sqlalchemy_version >= packaging.version.parse("2.0"),
+ reason="requires sqlalchemy 1.3 or lower",
)
-sqlalchemy_1_4_or_higher = pytest.mark.skipif(
- sqlalchemy_version < packaging.version.parse("1.4"),
+sqlalchemy_2_0_or_higher = pytest.mark.skipif(
+ sqlalchemy_version < packaging.version.parse("2.0"),
reason="requires sqlalchemy 1.4 or higher",
)
-sqlalchemy_before_1_4 = pytest.mark.skipif(
- sqlalchemy_version >= packaging.version.parse("1.4"),
- reason="requires sqlalchemy 1.3 or lower",
-)
@pytest.fixture()
@@ -91,6 +89,11 @@ def metadata():
return sqlalchemy.MetaData()
+@pytest.fixture()
+def ddl_compiler():
+ return BigQueryDDLCompiler(BigQueryDialect(), None)
+
+
def setup_table(connection, name, *columns, initial_data=(), **kw):
metadata = sqlalchemy.MetaData()
table = sqlalchemy.Table(name, metadata, *columns, **kw)
diff --git a/tests/unit/test__struct.py b/tests/unit/test__struct.py
index 77577066..6e7c7a3d 100644
--- a/tests/unit/test__struct.py
+++ b/tests/unit/test__struct.py
@@ -84,7 +84,7 @@ def _col():
)
def test_struct_traversal_project(faux_conn, expr, sql):
sql = f"SELECT {sql} AS `anon_1` \nFROM `t`"
- assert str(sqlalchemy.select([expr]).compile(faux_conn.engine)) == sql
+ assert str(sqlalchemy.select(expr).compile(faux_conn.engine)) == sql
@pytest.mark.parametrize(
@@ -117,7 +117,7 @@ def test_struct_traversal_project(faux_conn, expr, sql):
)
def test_struct_traversal_filter(faux_conn, expr, sql, param=1):
want = f"SELECT `t`.`person` \nFROM `t`, `t` \nWHERE {sql}"
- got = str(sqlalchemy.select([_col()]).where(expr).compile(faux_conn.engine))
+ got = str(sqlalchemy.select(_col()).where(expr).compile(faux_conn.engine))
assert got == want
diff --git a/tests/unit/test_catalog_functions.py b/tests/unit/test_catalog_functions.py
index 78614c9f..7eab7b7b 100644
--- a/tests/unit/test_catalog_functions.py
+++ b/tests/unit/test_catalog_functions.py
@@ -126,18 +126,7 @@ def test_get_indexes(faux_conn):
client.tables.foo.time_partitioning = TimePartitioning(field="tm")
client.tables.foo.clustering_fields = ["user_email", "store_code"]
- assert faux_conn.dialect.get_indexes(faux_conn, "foo") == [
- dict(
- name="partition",
- column_names=["tm"],
- unique=False,
- ),
- dict(
- name="clustering",
- column_names=["user_email", "store_code"],
- unique=False,
- ),
- ]
+ assert faux_conn.dialect.get_indexes(faux_conn, "foo") == []
def test_no_table_pk_constraint(faux_conn):
diff --git a/tests/unit/test_compiler.py b/tests/unit/test_compiler.py
index db02e593..cc9116e3 100644
--- a/tests/unit/test_compiler.py
+++ b/tests/unit/test_compiler.py
@@ -21,7 +21,28 @@
import sqlalchemy.exc
from .conftest import setup_table
-from .conftest import sqlalchemy_1_4_or_higher
+from .conftest import (
+ sqlalchemy_2_0_or_higher,
+ sqlalchemy_before_2_0,
+)
+from sqlalchemy.sql.functions import rollup, cube, grouping_sets
+
+
+@pytest.fixture
+def table(faux_conn, metadata):
+ # Fixture to create a sample table for testing
+
+ table = setup_table(
+ faux_conn,
+ "table1",
+ metadata,
+ sqlalchemy.Column("foo", sqlalchemy.Integer),
+ sqlalchemy.Column("bar", sqlalchemy.ARRAY(sqlalchemy.Integer)),
+ )
+
+ yield table
+
+ table.drop(faux_conn)
def test_constraints_are_ignored(faux_conn, metadata):
@@ -58,7 +79,6 @@ def test_cant_compile_unnamed_column(faux_conn, metadata):
sqlalchemy.Column(sqlalchemy.Integer).compile(faux_conn)
-@sqlalchemy_1_4_or_higher
def test_no_alias_for_known_tables(faux_conn, metadata):
# See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/353
table = setup_table(
@@ -80,7 +100,6 @@ def test_no_alias_for_known_tables(faux_conn, metadata):
assert found_sql == expected_sql
-@sqlalchemy_1_4_or_higher
def test_no_alias_for_known_tables_cte(faux_conn, metadata):
# See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
table = setup_table(
@@ -114,3 +133,258 @@ def test_no_alias_for_known_tables_cte(faux_conn, metadata):
)
found_cte_sql = q.compile(faux_conn).string
assert found_cte_sql == expected_cte_sql
+
+
+def prepare_implicit_join_base_query(
+ faux_conn, metadata, select_from_table2, old_syntax
+):
+ table1 = setup_table(
+ faux_conn, "table1", metadata, sqlalchemy.Column("foo", sqlalchemy.Integer)
+ )
+ table2 = setup_table(
+ faux_conn,
+ "table2",
+ metadata,
+ sqlalchemy.Column("foos", sqlalchemy.ARRAY(sqlalchemy.Integer)),
+ sqlalchemy.Column("bar", sqlalchemy.Integer),
+ )
+ F = sqlalchemy.func
+
+ unnested_col_name = "unnested_foos"
+ unnested_foos = F.unnest(table2.c.foos).alias(unnested_col_name)
+ unnested_foo_col = sqlalchemy.Column(unnested_col_name)
+
+ # Set up initial query
+ cols = [table1.c.foo, table2.c.bar] if select_from_table2 else [table1.c.foo]
+ q = sqlalchemy.select(cols) if old_syntax else sqlalchemy.select(*cols)
+ q = q.select_from(unnested_foos.join(table1, table1.c.foo == unnested_foo_col))
+ return q
+
+
+@sqlalchemy_before_2_0
+def test_no_implicit_join_asterix_for_inner_unnest_before_2_0(faux_conn, metadata):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, True, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo`, `table2`.`bar` \n"
+ "FROM `table2`, unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select("*").select_from(q)
+
+ expected_outer_sql = (
+ "SELECT * \n"
+ "FROM (SELECT `table1`.`foo` AS `foo`, `table2`.`bar` AS `bar` \n"
+ "FROM `table2`, unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+@sqlalchemy_2_0_or_higher
+def test_no_implicit_join_asterix_for_inner_unnest(faux_conn, metadata):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, True, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo`, `table2`.`bar` \n"
+ "FROM unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`, `table2`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select("*").select_from(q)
+
+ expected_outer_sql = (
+ "SELECT * \n"
+ "FROM (SELECT `table1`.`foo` AS `foo`, `table2`.`bar` AS `bar` \n"
+ "FROM unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`, `table2`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+@sqlalchemy_before_2_0
+def test_no_implicit_join_for_inner_unnest_before_2_0(faux_conn, metadata):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, True, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo`, `table2`.`bar` \n"
+ "FROM `table2`, unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select(q.c.foo).select_from(q)
+
+ expected_outer_sql = (
+ "SELECT `anon_1`.`foo` \n"
+ "FROM (SELECT `table1`.`foo` AS `foo`, `table2`.`bar` AS `bar` \n"
+ "FROM `table2`, unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+@sqlalchemy_2_0_or_higher
+def test_no_implicit_join_for_inner_unnest(faux_conn, metadata):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, True, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo`, `table2`.`bar` \n"
+ "FROM unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`, `table2`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select(q.c.foo).select_from(q)
+
+ expected_outer_sql = (
+ "SELECT `anon_1`.`foo` \n"
+ "FROM (SELECT `table1`.`foo` AS `foo`, `table2`.`bar` AS `bar` \n"
+ "FROM unnest(`table2`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`, `table2`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+def test_no_implicit_join_asterix_for_inner_unnest_no_table2_column(
+ faux_conn, metadata
+):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, False, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo` \n"
+ "FROM `table2` `table2_1`, unnest(`table2_1`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select("*").select_from(q)
+
+ expected_outer_sql = (
+ "SELECT * \n"
+ "FROM (SELECT `table1`.`foo` AS `foo` \n"
+ "FROM `table2` `table2_1`, unnest(`table2_1`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+def test_no_implicit_join_for_inner_unnest_no_table2_column(faux_conn, metadata):
+ # See: https://github.com/googleapis/python-bigquery-sqlalchemy/issues/368
+ q = prepare_implicit_join_base_query(faux_conn, metadata, False, False)
+ expected_initial_sql = (
+ "SELECT `table1`.`foo` \n"
+ "FROM `table2` `table2_1`, unnest(`table2_1`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`"
+ )
+ found_initial_sql = q.compile(faux_conn).string
+ assert found_initial_sql == expected_initial_sql
+
+ q = q.subquery()
+ q = sqlalchemy.select(q.c.foo).select_from(q)
+
+ expected_outer_sql = (
+ "SELECT `anon_1`.`foo` \n"
+ "FROM (SELECT `table1`.`foo` AS `foo` \n"
+ "FROM `table2` `table2_1`, unnest(`table2_1`.`foos`) AS `unnested_foos` JOIN `table1` ON `table1`.`foo` = `unnested_foos`) AS `anon_1`"
+ )
+ found_outer_sql = q.compile(faux_conn).string
+ assert found_outer_sql == expected_outer_sql
+
+
+grouping_ops = (
+ "grouping_op, grouping_op_func",
+ [("GROUPING SETS", grouping_sets), ("ROLLUP", rollup), ("CUBE", cube)],
+)
+
+
+@pytest.mark.parametrize(*grouping_ops)
+def test_grouping_ops_vs_single_column(faux_conn, table, grouping_op, grouping_op_func):
+ # Tests each of the grouping ops against a single column
+
+ q = sqlalchemy.select(table.c.foo).group_by(grouping_op_func(table.c.foo))
+ found_sql = q.compile(faux_conn).string
+
+ expected_sql = (
+ f"SELECT `table1`.`foo` \n"
+ f"FROM `table1` GROUP BY {grouping_op}(`table1`.`foo`)"
+ )
+
+ assert found_sql == expected_sql
+
+
+@pytest.mark.parametrize(*grouping_ops)
+def test_grouping_ops_vs_multi_columns(faux_conn, table, grouping_op, grouping_op_func):
+ # Tests each of the grouping ops against multiple columns
+
+ q = sqlalchemy.select(table.c.foo, table.c.bar).group_by(
+ grouping_op_func(table.c.foo, table.c.bar)
+ )
+ found_sql = q.compile(faux_conn).string
+
+ expected_sql = (
+ f"SELECT `table1`.`foo`, `table1`.`bar` \n"
+ f"FROM `table1` GROUP BY {grouping_op}(`table1`.`foo`, `table1`.`bar`)"
+ )
+
+ assert found_sql == expected_sql
+
+
+@pytest.mark.parametrize(*grouping_ops)
+def test_grouping_op_with_grouping_op(faux_conn, table, grouping_op, grouping_op_func):
+ # Tests multiple grouping ops in a single statement
+
+ q = sqlalchemy.select(table.c.foo, table.c.bar).group_by(
+ grouping_op_func(table.c.foo, table.c.bar), grouping_op_func(table.c.foo)
+ )
+ found_sql = q.compile(faux_conn).string
+
+ expected_sql = (
+ f"SELECT `table1`.`foo`, `table1`.`bar` \n"
+ f"FROM `table1` GROUP BY {grouping_op}(`table1`.`foo`, `table1`.`bar`), {grouping_op}(`table1`.`foo`)"
+ )
+
+ assert found_sql == expected_sql
+
+
+@pytest.mark.parametrize(*grouping_ops)
+def test_grouping_ops_vs_group_by(faux_conn, table, grouping_op, grouping_op_func):
+ # Tests grouping op against regular group by statement
+
+ q = sqlalchemy.select(table.c.foo, table.c.bar).group_by(
+ table.c.foo, grouping_op_func(table.c.bar)
+ )
+ found_sql = q.compile(faux_conn).string
+
+ expected_sql = (
+ f"SELECT `table1`.`foo`, `table1`.`bar` \n"
+ f"FROM `table1` GROUP BY `table1`.`foo`, {grouping_op}(`table1`.`bar`)"
+ )
+
+ assert found_sql == expected_sql
+
+
+@pytest.mark.parametrize(*grouping_ops)
+def test_complex_grouping_ops_vs_nested_grouping_ops(
+ faux_conn, table, grouping_op, grouping_op_func
+):
+ # Tests grouping ops nested within grouping ops
+
+ q = sqlalchemy.select(table.c.foo, table.c.bar).group_by(
+ grouping_sets(table.c.foo, grouping_op_func(table.c.bar))
+ )
+ found_sql = q.compile(faux_conn).string
+
+ expected_sql = (
+ f"SELECT `table1`.`foo`, `table1`.`bar` \n"
+ f"FROM `table1` GROUP BY GROUPING SETS(`table1`.`foo`, {grouping_op}(`table1`.`bar`))"
+ )
+
+ assert found_sql == expected_sql
diff --git a/tests/unit/test_compliance.py b/tests/unit/test_compliance.py
index fd1fbb83..bd90d936 100644
--- a/tests/unit/test_compliance.py
+++ b/tests/unit/test_compliance.py
@@ -27,7 +27,7 @@
from sqlalchemy import Column, Integer, literal_column, select, String, Table, union
from sqlalchemy.testing.assertions import eq_, in_
-from .conftest import setup_table, sqlalchemy_1_3_or_higher
+from .conftest import setup_table
def assert_result(connection, sel, expected, params=()):
@@ -52,8 +52,8 @@ def some_table(connection):
def test_distinct_selectable_in_unions(faux_conn):
table = some_table(faux_conn)
- s1 = select([table]).where(table.c.id == 2).distinct()
- s2 = select([table]).where(table.c.id == 3).distinct()
+ s1 = select(table).where(table.c.id == 2).distinct()
+ s2 = select(table).where(table.c.id == 3).distinct()
u1 = union(s1, s2).limit(2)
assert_result(faux_conn, u1.order_by(u1.c.id), [(2, 2, 3), (3, 3, 4)])
@@ -62,7 +62,7 @@ def test_distinct_selectable_in_unions(faux_conn):
def test_limit_offset_aliased_selectable_in_unions(faux_conn):
table = some_table(faux_conn)
s1 = (
- select([table])
+ select(table)
.where(table.c.id == 2)
.limit(1)
.order_by(table.c.id)
@@ -70,7 +70,7 @@ def test_limit_offset_aliased_selectable_in_unions(faux_conn):
.select()
)
s2 = (
- select([table])
+ select(table)
.where(table.c.id == 3)
.limit(1)
.order_by(table.c.id)
@@ -93,27 +93,24 @@ def test_percent_sign_round_trip(faux_conn, metadata):
faux_conn.execute(t.insert(), dict(data="some %% other value"))
eq_(
faux_conn.scalar(
- select([t.c.data]).where(t.c.data == literal_column("'some % value'"))
+ select(t.c.data).where(t.c.data == literal_column("'some % value'"))
),
"some % value",
)
eq_(
faux_conn.scalar(
- select([t.c.data]).where(
- t.c.data == literal_column("'some %% other value'")
- )
+ select(t.c.data).where(t.c.data == literal_column("'some %% other value'"))
),
"some %% other value",
)
-@sqlalchemy_1_3_or_higher
def test_empty_set_against_integer(faux_conn):
table = some_table(faux_conn)
stmt = (
- select([table.c.id])
+ select(table.c.id)
.where(table.c.x.in_(sqlalchemy.bindparam("q", expanding=True)))
.order_by(table.c.id)
)
@@ -121,22 +118,17 @@ def test_empty_set_against_integer(faux_conn):
assert_result(faux_conn, stmt, [], params={"q": []})
-@sqlalchemy_1_3_or_higher
def test_null_in_empty_set_is_false(faux_conn):
stmt = select(
- [
- sqlalchemy.case(
- [
- (
- sqlalchemy.null().in_(
- sqlalchemy.bindparam("foo", value=(), expanding=True)
- ),
- sqlalchemy.true(),
- )
- ],
- else_=sqlalchemy.false(),
- )
- ]
+ sqlalchemy.case(
+ (
+ sqlalchemy.null().in_(
+ sqlalchemy.bindparam("foo", value=(), expanding=True)
+ ),
+ sqlalchemy.true(),
+ ),
+ else_=sqlalchemy.false(),
+ )
)
in_(faux_conn.execute(stmt).fetchone()[0], (False, 0))
@@ -170,12 +162,12 @@ def test_likish(faux_conn, meth, arg, expected):
],
)
expr = getattr(table.c.data, meth)(arg)
- rows = {value for value, in faux_conn.execute(select([table.c.id]).where(expr))}
+ rows = {value for value, in faux_conn.execute(select(table.c.id).where(expr))}
eq_(rows, expected)
all = {i for i in range(1, 11)}
expr = sqlalchemy.not_(expr)
- rows = {value for value, in faux_conn.execute(select([table.c.id]).where(expr))}
+ rows = {value for value, in faux_conn.execute(select(table.c.id).where(expr))}
eq_(rows, all - expected)
@@ -196,9 +188,7 @@ def test_group_by_composed(faux_conn):
)
expr = (table.c.x + table.c.y).label("lx")
- stmt = (
- select([sqlalchemy.func.count(table.c.id), expr]).group_by(expr).order_by(expr)
- )
+ stmt = select(sqlalchemy.func.count(table.c.id), expr).group_by(expr).order_by(expr)
assert_result(faux_conn, stmt, [(1, 3), (1, 5), (1, 7)])
diff --git a/tests/unit/test_geography.py b/tests/unit/test_geography.py
index 6924ade0..93b7eb37 100644
--- a/tests/unit/test_geography.py
+++ b/tests/unit/test_geography.py
@@ -76,7 +76,7 @@ def test_geoalchemy2_core(faux_conn, last_query):
from sqlalchemy.sql import select
try:
- conn.execute(select([lake_table]))
+ conn.execute(select(lake_table))
except Exception:
pass # sqlite had no special functions :)
last_query(
@@ -89,8 +89,8 @@ def test_geoalchemy2_core(faux_conn, last_query):
try:
conn.execute(
- select(
- [lake_table.c.name], func.ST_Contains(lake_table.c.geog, "POINT(4 1)")
+ select(lake_table.c.name).where(
+ func.ST_Contains(lake_table.c.geog, "POINT(4 1)")
)
)
except Exception:
@@ -104,7 +104,7 @@ def test_geoalchemy2_core(faux_conn, last_query):
try:
conn.execute(
- select([lake_table.c.name, lake_table.c.geog.ST_Area().label("area")])
+ select(lake_table.c.name, lake_table.c.geog.ST_Area().label("area"))
)
except Exception:
pass # sqlite had no special functions :)
@@ -171,7 +171,7 @@ def test_calling_st_functions_that_dont_take_geographies(faux_conn, last_query):
from sqlalchemy import select, func
try:
- faux_conn.execute(select([func.ST_GeogFromText("point(0 0)")]))
+ faux_conn.execute(select(func.ST_GeogFromText("point(0 0)")))
except Exception:
pass # sqlite had no special functions :)
diff --git a/tests/unit/test_select.py b/tests/unit/test_select.py
index ee5e01cb..ad80047a 100644
--- a/tests/unit/test_select.py
+++ b/tests/unit/test_select.py
@@ -20,25 +20,18 @@
import datetime
from decimal import Decimal
-import packaging.version
import pytest
import sqlalchemy
from sqlalchemy import not_
import sqlalchemy_bigquery
-from .conftest import (
- setup_table,
- sqlalchemy_version,
- sqlalchemy_1_3_or_higher,
- sqlalchemy_1_4_or_higher,
- sqlalchemy_before_1_4,
-)
+from .conftest import setup_table
def test_labels_not_forced(faux_conn):
table = setup_table(faux_conn, "t", sqlalchemy.Column("id", sqlalchemy.Integer))
- result = faux_conn.execute(sqlalchemy.select([table.c.id]))
+ result = faux_conn.execute(sqlalchemy.select(table.c.id))
assert result.keys() == ["id"] # Look! Just the column name!
@@ -154,14 +147,18 @@ def test_typed_parameters(faux_conn, type_, val, btype, vrep):
{},
)
- assert list(map(list, faux_conn.execute(sqlalchemy.select([table])))) == [[val]] * 2
+ assert list(map(list, faux_conn.execute(sqlalchemy.select(table)))) == [[val]] * 2
assert faux_conn.test_data["execute"][-1][0] == "SELECT `t`.`foo` \nFROM `t`"
assert (
list(
map(
list,
- faux_conn.execute(sqlalchemy.select([table.c.foo], use_labels=True)),
+ faux_conn.execute(
+ sqlalchemy.select(table.c.foo).set_label_style(
+ sqlalchemy.LABEL_STYLE_TABLENAME_PLUS_COL
+ )
+ ),
)
)
== [[val]] * 2
@@ -183,7 +180,7 @@ def test_select_struct(faux_conn, metadata):
faux_conn.ex("create table t (x RECORD)")
faux_conn.ex("""insert into t values ('{"y": 1}')""")
- row = list(faux_conn.execute(sqlalchemy.select([table])))[0]
+ row = list(faux_conn.execute(sqlalchemy.select(table)))[0]
# We expect the raw string, because sqlite3, unlike BigQuery
# doesn't deserialize for us.
assert row.x == '{"y": 1}'
@@ -191,7 +188,7 @@ def test_select_struct(faux_conn, metadata):
def test_select_label_starts_w_digit(faux_conn):
# Make sure label names are legal identifiers
- faux_conn.execute(sqlalchemy.select([sqlalchemy.literal(1).label("2foo")]))
+ faux_conn.execute(sqlalchemy.select(sqlalchemy.literal(1).label("2foo")))
assert (
faux_conn.test_data["execute"][-1][0] == "SELECT %(param_1:INT64)s AS `_2foo`"
)
@@ -205,7 +202,7 @@ def test_force_quote(faux_conn):
"t",
sqlalchemy.Column(quoted_name("foo", True), sqlalchemy.Integer),
)
- faux_conn.execute(sqlalchemy.select([table]))
+ faux_conn.execute(sqlalchemy.select(table))
assert faux_conn.test_data["execute"][-1][0] == ("SELECT `t`.`foo` \nFROM `t`")
@@ -217,26 +214,12 @@ def test_disable_quote(faux_conn):
"t",
sqlalchemy.Column(quoted_name("foo", False), sqlalchemy.Integer),
)
- faux_conn.execute(sqlalchemy.select([table]))
+ faux_conn.execute(sqlalchemy.select(table))
assert faux_conn.test_data["execute"][-1][0] == ("SELECT `t`.foo \nFROM `t`")
-@sqlalchemy_before_1_4
-def test_select_in_lit_13(faux_conn):
- [[isin]] = faux_conn.execute(
- sqlalchemy.select([sqlalchemy.literal(1).in_([1, 2, 3])])
- )
- assert isin
- assert faux_conn.test_data["execute"][-1] == (
- "SELECT %(param_1:INT64)s IN "
- "(%(param_2:INT64)s, %(param_3:INT64)s, %(param_4:INT64)s) AS `anon_1`",
- {"param_1": 1, "param_2": 1, "param_3": 2, "param_4": 3},
- )
-
-
-@sqlalchemy_1_4_or_higher
def test_select_in_lit(faux_conn, last_query):
- faux_conn.execute(sqlalchemy.select([sqlalchemy.literal(1).in_([1, 2, 3])]))
+ faux_conn.execute(sqlalchemy.select(sqlalchemy.literal(1).in_([1, 2, 3])))
last_query(
"SELECT %(param_1:INT64)s IN UNNEST(%(param_2:INT64)s) AS `anon_1`",
{"param_1": 1, "param_2": [1, 2, 3]},
@@ -244,83 +227,47 @@ def test_select_in_lit(faux_conn, last_query):
def test_select_in_param(faux_conn, last_query):
- [[isin]] = faux_conn.execute(
+ faux_conn.execute(
sqlalchemy.select(
- [sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))]
+ sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))
),
dict(q=[1, 2, 3]),
)
- if sqlalchemy_version >= packaging.version.parse("1.4"):
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
- {"param_1": 1, "q": [1, 2, 3]},
- )
- else:
- assert isin
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST("
- "[ %(q_1:INT64)s, %(q_2:INT64)s, %(q_3:INT64)s ]"
- ") AS `anon_1`",
- {"param_1": 1, "q_1": 1, "q_2": 2, "q_3": 3},
- )
+
+ last_query(
+ "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
+ {"param_1": 1, "q": [1, 2, 3]},
+ )
def test_select_in_param1(faux_conn, last_query):
- [[isin]] = faux_conn.execute(
+ faux_conn.execute(
sqlalchemy.select(
- [sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))]
+ sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))
),
dict(q=[1]),
)
- if sqlalchemy_version >= packaging.version.parse("1.4"):
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
- {"param_1": 1, "q": [1]},
- )
- else:
- assert isin
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST(" "[ %(q_1:INT64)s ]" ") AS `anon_1`",
- {"param_1": 1, "q_1": 1},
- )
+ last_query(
+ "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
+ {"param_1": 1, "q": [1]},
+ )
-@sqlalchemy_1_3_or_higher
def test_select_in_param_empty(faux_conn, last_query):
- [[isin]] = faux_conn.execute(
+ faux_conn.execute(
sqlalchemy.select(
- [sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))]
+ sqlalchemy.literal(1).in_(sqlalchemy.bindparam("q", expanding=True))
),
dict(q=[]),
)
- if sqlalchemy_version >= packaging.version.parse("1.4"):
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
- {"param_1": 1, "q": []},
- )
- else:
- assert not isin
- last_query(
- "SELECT %(param_1:INT64)s IN UNNEST([ ]) AS `anon_1`", {"param_1": 1}
- )
-
-
-@sqlalchemy_before_1_4
-def test_select_notin_lit13(faux_conn):
- [[isnotin]] = faux_conn.execute(
- sqlalchemy.select([sqlalchemy.literal(0).notin_([1, 2, 3])])
- )
- assert isnotin
- assert faux_conn.test_data["execute"][-1] == (
- "SELECT (%(param_1:INT64)s NOT IN "
- "(%(param_2:INT64)s, %(param_3:INT64)s, %(param_4:INT64)s)) AS `anon_1`",
- {"param_1": 0, "param_2": 1, "param_3": 2, "param_4": 3},
+ last_query(
+ "SELECT %(param_1:INT64)s IN UNNEST(%(q:INT64)s) AS `anon_1`",
+ {"param_1": 1, "q": []},
)
-@sqlalchemy_1_4_or_higher
def test_select_notin_lit(faux_conn, last_query):
- faux_conn.execute(sqlalchemy.select([sqlalchemy.literal(0).notin_([1, 2, 3])]))
+ faux_conn.execute(sqlalchemy.select(sqlalchemy.literal(0).notin_([1, 2, 3])))
last_query(
"SELECT (%(param_1:INT64)s NOT IN UNNEST(%(param_2:INT64)s)) AS `anon_1`",
{"param_1": 0, "param_2": [1, 2, 3]},
@@ -328,45 +275,29 @@ def test_select_notin_lit(faux_conn, last_query):
def test_select_notin_param(faux_conn, last_query):
- [[isnotin]] = faux_conn.execute(
+ faux_conn.execute(
sqlalchemy.select(
- [sqlalchemy.literal(1).notin_(sqlalchemy.bindparam("q", expanding=True))]
+ sqlalchemy.literal(1).notin_(sqlalchemy.bindparam("q", expanding=True))
),
dict(q=[1, 2, 3]),
)
- if sqlalchemy_version >= packaging.version.parse("1.4"):
- last_query(
- "SELECT (%(param_1:INT64)s NOT IN UNNEST(%(q:INT64)s)) AS `anon_1`",
- {"param_1": 1, "q": [1, 2, 3]},
- )
- else:
- assert not isnotin
- last_query(
- "SELECT (%(param_1:INT64)s NOT IN UNNEST("
- "[ %(q_1:INT64)s, %(q_2:INT64)s, %(q_3:INT64)s ]"
- ")) AS `anon_1`",
- {"param_1": 1, "q_1": 1, "q_2": 2, "q_3": 3},
- )
+ last_query(
+ "SELECT (%(param_1:INT64)s NOT IN UNNEST(%(q:INT64)s)) AS `anon_1`",
+ {"param_1": 1, "q": [1, 2, 3]},
+ )
-@sqlalchemy_1_3_or_higher
def test_select_notin_param_empty(faux_conn, last_query):
- [[isnotin]] = faux_conn.execute(
+ faux_conn.execute(
sqlalchemy.select(
- [sqlalchemy.literal(1).notin_(sqlalchemy.bindparam("q", expanding=True))]
+ sqlalchemy.literal(1).notin_(sqlalchemy.bindparam("q", expanding=True))
),
dict(q=[]),
)
- if sqlalchemy_version >= packaging.version.parse("1.4"):
- last_query(
- "SELECT (%(param_1:INT64)s NOT IN UNNEST(%(q:INT64)s)) AS `anon_1`",
- {"param_1": 1, "q": []},
- )
- else:
- assert isnotin
- last_query(
- "SELECT (%(param_1:INT64)s NOT IN UNNEST([ ])) AS `anon_1`", {"param_1": 1}
- )
+ last_query(
+ "SELECT (%(param_1:INT64)s NOT IN UNNEST(%(q:INT64)s)) AS `anon_1`",
+ {"param_1": 1, "q": []},
+ )
def test_literal_binds_kwarg_with_an_IN_operator_252(faux_conn):
@@ -376,7 +307,7 @@ def test_literal_binds_kwarg_with_an_IN_operator_252(faux_conn):
sqlalchemy.Column("val", sqlalchemy.Integer),
initial_data=[dict(val=i) for i in range(3)],
)
- q = sqlalchemy.select([table.c.val]).where(table.c.val.in_([2]))
+ q = sqlalchemy.select(table.c.val).where(table.c.val.in_([2]))
def nstr(q):
return " ".join(str(q).strip().split())
@@ -387,7 +318,6 @@ def nstr(q):
)
-@sqlalchemy_1_4_or_higher
@pytest.mark.parametrize("alias", [True, False])
def test_unnest(faux_conn, alias):
from sqlalchemy import String
@@ -405,7 +335,6 @@ def test_unnest(faux_conn, alias):
)
-@sqlalchemy_1_4_or_higher
@pytest.mark.parametrize("alias", [True, False])
def test_table_valued_alias_w_multiple_references_to_the_same_table(faux_conn, alias):
from sqlalchemy import String
@@ -424,7 +353,6 @@ def test_table_valued_alias_w_multiple_references_to_the_same_table(faux_conn, a
)
-@sqlalchemy_1_4_or_higher
@pytest.mark.parametrize("alias", [True, False])
def test_unnest_w_no_table_references(faux_conn, alias):
fcall = sqlalchemy.func.unnest([1, 2, 3])
@@ -444,14 +372,10 @@ def test_array_indexing(faux_conn, metadata):
metadata,
sqlalchemy.Column("a", sqlalchemy.ARRAY(sqlalchemy.String)),
)
- got = str(sqlalchemy.select([t.c.a[0]]).compile(faux_conn.engine))
+ got = str(sqlalchemy.select(t.c.a[0]).compile(faux_conn.engine))
assert got == "SELECT `t`.`a`[OFFSET(%(a_1:INT64)s)] AS `anon_1` \nFROM `t`"
-@pytest.mark.skipif(
- packaging.version.parse(sqlalchemy.__version__) < packaging.version.parse("1.4"),
- reason="regexp_match support requires version 1.4 or higher",
-)
def test_visit_regexp_match_op_binary(faux_conn):
table = setup_table(
faux_conn,
@@ -468,10 +392,6 @@ def test_visit_regexp_match_op_binary(faux_conn):
assert result == expected
-@pytest.mark.skipif(
- packaging.version.parse(sqlalchemy.__version__) < packaging.version.parse("1.4"),
- reason="regexp_match support requires version 1.4 or higher",
-)
def test_visit_not_regexp_match_op_binary(faux_conn):
table = setup_table(
faux_conn,
diff --git a/tests/unit/test_sqlalchemy_bigquery.py b/tests/unit/test_sqlalchemy_bigquery.py
index 06ef79d2..db20e2f0 100644
--- a/tests/unit/test_sqlalchemy_bigquery.py
+++ b/tests/unit/test_sqlalchemy_bigquery.py
@@ -10,7 +10,6 @@
from google.cloud import bigquery
from google.cloud.bigquery.dataset import DatasetListItem
from google.cloud.bigquery.table import TableListItem
-import packaging.version
import pytest
import sqlalchemy
@@ -98,7 +97,7 @@ def test_get_table_names(
):
mock_bigquery_client.list_datasets.return_value = datasets_list
mock_bigquery_client.list_tables.side_effect = tables_lists
- table_names = engine_under_test.table_names()
+ table_names = sqlalchemy.inspect(engine_under_test).get_table_names()
mock_bigquery_client.list_datasets.assert_called_once()
assert mock_bigquery_client.list_tables.call_count == len(datasets_list)
assert list(sorted(table_names)) == list(sorted(expected))
@@ -227,12 +226,7 @@ def test_unnest_function(args, kw):
f = sqlalchemy.func.unnest(*args, **kw)
assert isinstance(f.type, sqlalchemy.String)
- if packaging.version.parse(sqlalchemy.__version__) >= packaging.version.parse(
- "1.4"
- ):
- assert isinstance(
- sqlalchemy.select([f]).subquery().c.unnest.type, sqlalchemy.String
- )
+ assert isinstance(sqlalchemy.select(f).subquery().c.unnest.type, sqlalchemy.String)
@mock.patch("sqlalchemy_bigquery._helpers.create_bigquery_client")
diff --git a/tests/unit/test_table_options.py b/tests/unit/test_table_options.py
new file mode 100644
index 00000000..2147fb1d
--- /dev/null
+++ b/tests/unit/test_table_options.py
@@ -0,0 +1,474 @@
+# Copyright (c) 2021 The sqlalchemy-bigquery Authors
+#
+# Permission is hereby granted, free of charge, to any person obtaining a copy of
+# this software and associated documentation files (the "Software"), to deal in
+# the Software without restriction, including without limitation the rights to
+# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
+# the Software, and to permit persons to whom the Software is furnished to do so,
+# subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
+# FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+# COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+# IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+import datetime
+import sqlite3
+import pytest
+import sqlalchemy
+
+from google.cloud.bigquery import (
+ PartitionRange,
+ RangePartitioning,
+ TimePartitioning,
+ TimePartitioningType,
+)
+
+from .conftest import setup_table
+
+
+def test_table_expiration_timestamp_dialect_option(faux_conn):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_expiration_timestamp=datetime.datetime.fromisoformat(
+ "2038-01-01T00:00:00+00:00"
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `createdAt` DATETIME )"
+ " OPTIONS(expiration_timestamp=TIMESTAMP '2038-01-01 00:00:00+00:00')"
+ )
+
+
+def test_table_default_rounding_mode_dialect_option(faux_conn):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_default_rounding_mode="ROUND_HALF_EVEN",
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `createdAt` DATETIME )"
+ " OPTIONS(default_rounding_mode='ROUND_HALF_EVEN')"
+ )
+
+
+def test_table_clustering_fields_dialect_option_no_such_column(faux_conn):
+ with pytest.raises(sqlalchemy.exc.NoSuchColumnError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_clustering_fields=["country", "unknown"],
+ )
+
+
+def test_table_clustering_fields_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support clustering
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("country", sqlalchemy.Text),
+ sqlalchemy.Column("town", sqlalchemy.Text),
+ bigquery_clustering_fields=["country", "town"],
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `country` STRING, `town` STRING )"
+ " CLUSTER BY country, town"
+ )
+
+
+def test_table_clustering_fields_dialect_option_type_error(faux_conn):
+ # expect TypeError when bigquery_clustering_fields is not a list
+ with pytest.raises(TypeError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("country", sqlalchemy.Text),
+ sqlalchemy.Column("town", sqlalchemy.Text),
+ bigquery_clustering_fields="country, town",
+ )
+
+
+def test_table_time_partitioning_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning=TimePartitioning(),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(_PARTITIONDATE, DAY)"
+ )
+
+
+def test_table_require_partition_filter_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning=TimePartitioning(field="createdAt"),
+ bigquery_require_partition_filter=True,
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(createdAt, DAY)"
+ " OPTIONS(require_partition_filter=true)"
+ )
+
+
+def test_table_time_partitioning_with_field_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning=TimePartitioning(field="createdAt"),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(createdAt, DAY)"
+ )
+
+
+def test_table_time_partitioning_by_month_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning=TimePartitioning(
+ field="createdAt",
+ type_=TimePartitioningType.MONTH,
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(createdAt, MONTH)"
+ )
+
+
+def test_table_time_partitioning_with_timestamp_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.TIMESTAMP),
+ bigquery_time_partitioning=TimePartitioning(field="createdAt"),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `createdAt` TIMESTAMP )"
+ " PARTITION BY TIMESTAMP_TRUNC(createdAt, DAY)"
+ )
+
+
+def test_table_time_partitioning_dialect_option_partition_expiration_days(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning=TimePartitioning(
+ field="createdAt",
+ type_="DAY",
+ expiration_ms=21600000,
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(createdAt, DAY)"
+ " OPTIONS(partition_expiration_days=0.25)"
+ )
+
+
+def test_table_partitioning_dialect_option_type_error(faux_conn):
+ # expect TypeError when bigquery_time_partitioning is not a TimePartitioning object
+ with pytest.raises(TypeError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_time_partitioning="DATE(createdAt)",
+ )
+
+
+def test_table_range_partitioning_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.INT),
+ bigquery_range_partitioning=RangePartitioning(
+ field="zipcode",
+ range_=PartitionRange(
+ start=0,
+ end=100000,
+ interval=2,
+ ),
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `zipcode` INT64 )"
+ " PARTITION BY RANGE_BUCKET(zipcode, GENERATE_ARRAY(0, 100000, 2))"
+ )
+
+
+def test_table_range_partitioning_dialect_option_no_field(faux_conn):
+ # expect TypeError when bigquery_range_partitioning field is not defined
+ with pytest.raises(
+ AttributeError,
+ match="bigquery_range_partitioning expects field to be defined",
+ ):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.FLOAT),
+ bigquery_range_partitioning=RangePartitioning(
+ range_=PartitionRange(
+ start=0,
+ end=100000,
+ interval=10,
+ ),
+ ),
+ )
+
+
+def test_table_range_partitioning_dialect_option_bad_column_type(faux_conn):
+ # expect ValueError when bigquery_range_partitioning field is not an INTEGER
+ with pytest.raises(
+ ValueError,
+ match=r"bigquery_range_partitioning expects field \(i\.e\. column\) data type to be INTEGER",
+ ):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.FLOAT),
+ bigquery_range_partitioning=RangePartitioning(
+ field="zipcode",
+ range_=PartitionRange(
+ start=0,
+ end=100000,
+ interval=10,
+ ),
+ ),
+ )
+
+
+def test_table_range_partitioning_dialect_option_range_missing(faux_conn):
+ # expect TypeError when bigquery_range_partitioning range start or end is missing
+ with pytest.raises(
+ TypeError,
+ match="bigquery_range_partitioning expects range_.start to be an int, provided None",
+ ):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.INT),
+ bigquery_range_partitioning=RangePartitioning(field="zipcode"),
+ )
+
+ with pytest.raises(
+ TypeError,
+ match="bigquery_range_partitioning expects range_.end to be an int, provided None",
+ ):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.INT),
+ bigquery_range_partitioning=RangePartitioning(
+ field="zipcode",
+ range_=PartitionRange(start=1),
+ ),
+ )
+
+
+def test_table_range_partitioning_dialect_option_default_interval(faux_conn):
+ # expect table creation to fail as SQLite does not support partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("zipcode", sqlalchemy.INT),
+ bigquery_range_partitioning=RangePartitioning(
+ field="zipcode",
+ range_=PartitionRange(
+ start=0,
+ end=100000,
+ ),
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `zipcode` INT64 )"
+ " PARTITION BY RANGE_BUCKET(zipcode, GENERATE_ARRAY(0, 100000, 1))"
+ )
+
+
+def test_time_and_range_partitioning_mutually_exclusive(faux_conn):
+ # expect ValueError when both bigquery_time_partitioning and bigquery_range_partitioning are provided
+ with pytest.raises(ValueError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_range_partitioning=RangePartitioning(),
+ bigquery_time_partitioning=TimePartitioning(),
+ )
+
+
+def test_table_all_dialect_option(faux_conn):
+ # expect table creation to fail as SQLite does not support clustering and partitioned tables
+ with pytest.raises(sqlite3.OperationalError):
+ setup_table(
+ faux_conn,
+ "some_table",
+ sqlalchemy.Column("id", sqlalchemy.Integer),
+ sqlalchemy.Column("country", sqlalchemy.Text),
+ sqlalchemy.Column("town", sqlalchemy.Text),
+ sqlalchemy.Column("createdAt", sqlalchemy.DateTime),
+ bigquery_expiration_timestamp=datetime.datetime.fromisoformat(
+ "2038-01-01T00:00:00+00:00"
+ ),
+ bigquery_require_partition_filter=True,
+ bigquery_default_rounding_mode="ROUND_HALF_EVEN",
+ bigquery_clustering_fields=["country", "town"],
+ bigquery_time_partitioning=TimePartitioning(
+ field="createdAt",
+ type_="DAY",
+ expiration_ms=2592000000,
+ ),
+ )
+
+ assert " ".join(faux_conn.test_data["execute"][-1][0].strip().split()) == (
+ "CREATE TABLE `some_table` ( `id` INT64, `country` STRING, `town` STRING, `createdAt` DATETIME )"
+ " PARTITION BY DATE_TRUNC(createdAt, DAY)"
+ " CLUSTER BY country, town"
+ " OPTIONS(partition_expiration_days=30.0, expiration_timestamp=TIMESTAMP '2038-01-01 00:00:00+00:00', require_partition_filter=true, default_rounding_mode='ROUND_HALF_EVEN')"
+ )
+
+
+def test_validate_friendly_name_value_type(ddl_compiler):
+ # expect option value to be transformed as a string expression
+
+ assert ddl_compiler._validate_option_value_type("friendly_name", "Friendly name")
+
+ with pytest.raises(TypeError):
+ ddl_compiler._validate_option_value_type("friendly_name", 1983)
+
+
+def test_validate_expiration_timestamp_value_type(ddl_compiler):
+ # expect option value to be transformed as a timestamp expression
+
+ assert ddl_compiler._validate_option_value_type(
+ "expiration_timestamp",
+ datetime.datetime.fromisoformat("2038-01-01T00:00:00+00:00"),
+ )
+
+ with pytest.raises(TypeError):
+ ddl_compiler._validate_option_value_type("expiration_timestamp", "2038-01-01")
+
+
+def test_validate_require_partition_filter_type(ddl_compiler):
+ # expect option value to be transformed as a literal boolean
+
+ assert ddl_compiler._validate_option_value_type("require_partition_filter", True)
+ assert ddl_compiler._validate_option_value_type("require_partition_filter", False)
+
+ with pytest.raises(TypeError):
+ ddl_compiler._validate_option_value_type("require_partition_filter", "true")
+
+ with pytest.raises(TypeError):
+ ddl_compiler._validate_option_value_type("require_partition_filter", "false")
+
+
+def test_validate_default_rounding_mode_type(ddl_compiler):
+ # expect option value to be transformed as a string expression
+
+ assert ddl_compiler._validate_option_value_type(
+ "default_rounding_mode", "ROUND_HALF_EVEN"
+ )
+
+ with pytest.raises(TypeError):
+ ddl_compiler._validate_option_value_type("default_rounding_mode", True)
+
+
+def test_validate_unmapped_option_type(ddl_compiler):
+ # expect option value with no typed specified in mapping to be transformed as a string expression
+
+ assert ddl_compiler._validate_option_value_type("unknown", "DEFAULT_IS_STRING")
+
+
+def test_process_str_option_value(ddl_compiler):
+ # expect string to be transformed as a string expression
+ assert ddl_compiler._process_option_value("Some text") == "'Some text'"
+
+
+def test_process_datetime_value(ddl_compiler):
+ # expect datetime object to be transformed as a timestamp expression
+ assert (
+ ddl_compiler._process_option_value(
+ datetime.datetime.fromisoformat("2038-01-01T00:00:00+00:00")
+ )
+ == "TIMESTAMP '2038-01-01 00:00:00+00:00'"
+ )
+
+
+def test_process_int_option_value(ddl_compiler):
+ # expect int to be unchanged
+ assert ddl_compiler._process_option_value(90) == 90
+
+
+def test_process_boolean_option_value(ddl_compiler):
+ # expect boolean to be transformed as a literal boolean expression
+
+ assert ddl_compiler._process_option_value(True) == "true"
+ assert ddl_compiler._process_option_value(False) == "false"
+
+
+def test_process_not_implementer_option_value(ddl_compiler):
+ # expect to raise
+ with pytest.raises(NotImplementedError):
+ ddl_compiler._process_option_value(float)
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