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691# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# isort:skip_file
import re
from superset.utils.core import DatasourceType
from superset.utils import json
import unittest
from unittest import mock
from superset import security_manager
from superset.connectors.sqla.models import SqlaTable # noqa: F401
from superset.exceptions import SupersetException
from superset.utils.core import override_user
from tests.integration_tests.fixtures.birth_names_dashboard import (
load_birth_names_dashboard_with_slices, # noqa: F401
load_birth_names_data, # noqa: F401
)
import pytest
from sqlalchemy.engine.url import make_url
from sqlalchemy.types import DateTime # noqa: F401
import tests.integration_tests.test_app # noqa: F401
from flask import current_app
from superset import db as metadata_db
from superset.db_engine_specs.postgres import PostgresEngineSpec # noqa: F401
from superset.common.db_query_status import QueryStatus
from superset.models.core import Database
from superset.models.slice import Slice
from superset.sql.parse import Table
from superset.utils.database import get_example_database
from .base_tests import SupersetTestCase
from .fixtures.energy_dashboard import (
load_energy_table_with_slice, # noqa: F401
load_energy_table_data, # noqa: F401
)
class TestDatabaseModel(SupersetTestCase):
@unittest.skipUnless(
SupersetTestCase.is_module_installed("requests"), "requests not installed"
)
@unittest.skipUnless(
SupersetTestCase.is_module_installed("pyhive"), "pyhive not installed"
)
def test_database_schema_presto(self):
sqlalchemy_uri = "presto://presto.airbnb.io:8080/hive/default"
model = Database(database_name="test_database", sqlalchemy_uri=sqlalchemy_uri)
with model.get_sqla_engine() as engine:
db = make_url(engine.url).database
assert "hive/default" == db
with model.get_sqla_engine(schema="core_db") as engine:
db = make_url(engine.url).database
assert "hive/core_db" == db
sqlalchemy_uri = "presto://presto.airbnb.io:8080/hive"
model = Database(database_name="test_database", sqlalchemy_uri=sqlalchemy_uri)
with model.get_sqla_engine() as engine:
db = make_url(engine.url).database
assert "hive" == db
with model.get_sqla_engine(schema="core_db") as engine:
db = make_url(engine.url).database
assert "hive/core_db" == db
def test_database_schema_postgres(self):
sqlalchemy_uri = "postgresql+psycopg2://postgres.airbnb.io:5439/prod"
model = Database(database_name="test_database", sqlalchemy_uri=sqlalchemy_uri)
with model.get_sqla_engine() as engine:
db = make_url(engine.url).database
assert "prod" == db
with model.get_sqla_engine(schema="foo") as engine:
db = make_url(engine.url).database
assert "prod" == db
@unittest.skipUnless(
SupersetTestCase.is_module_installed("thrift"), "thrift not installed"
)
@unittest.skipUnless(
SupersetTestCase.is_module_installed("pyhive"), "pyhive not installed"
)
def test_database_schema_hive(self):
sqlalchemy_uri = "hive://hive@hive.airbnb.io:10000/default?auth=NOSASL"
model = Database(database_name="test_database", sqlalchemy_uri=sqlalchemy_uri)
with model.get_sqla_engine() as engine:
db = make_url(engine.url).database
assert "default" == db
with model.get_sqla_engine(schema="core_db") as engine:
db = make_url(engine.url).database
assert "core_db" == db
@unittest.skipUnless(
SupersetTestCase.is_module_installed("mysqlclient"), "mysqlclient not installed"
)
def test_database_schema_mysql(self):
sqlalchemy_uri = "mysql://root@localhost/superset"
model = Database(database_name="test_database", sqlalchemy_uri=sqlalchemy_uri)
with model.get_sqla_engine() as engine:
db = make_url(engine.url).database
assert "superset" == db
with model.get_sqla_engine(schema="staging") as engine:
db = make_url(engine.url).database
assert "staging" == db
@unittest.skipUnless(
SupersetTestCase.is_module_installed("mysqlclient"), "mysqlclient not installed"
)
def test_database_impersonate_user(self):
uri = "mysql://root@localhost"
example_user = security_manager.find_user(username="gamma")
model = Database(database_name="test_database", sqlalchemy_uri=uri)
with override_user(example_user):
model.impersonate_user = True
with model.get_sqla_engine() as engine:
username = make_url(engine.url).username
assert example_user.username == username
model.impersonate_user = False
with model.get_sqla_engine() as engine:
username = make_url(engine.url).username
assert example_user.username != username
@mock.patch("superset.models.core.create_engine")
@unittest.skipUnless(
SupersetTestCase.is_module_installed("pyhive"), "pyhive not installed"
)
def test_impersonate_user_presto(self, mocked_create_engine):
uri = "presto://localhost"
principal_user = security_manager.find_user(username="gamma")
extra = """
{
"metadata_params": {},
"engine_params": {
"connect_args":{
"protocol": "https",
"username":"original_user",
"password":"original_user_password"
}
},
"metadata_cache_timeout": {},
"schemas_allowed_for_file_upload": []
}
"""
with override_user(principal_user):
model = Database(
database_name="test_database", sqlalchemy_uri=uri, extra=extra
)
model.impersonate_user = True
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "presto://gamma@localhost/"
assert call_args[1]["connect_args"] == {
"protocol": "https",
"username": "original_user",
"password": "original_user_password",
"principal_username": "gamma",
}
model.impersonate_user = False
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "presto://localhost/"
assert call_args[1]["connect_args"] == {
"protocol": "https",
"username": "original_user",
"password": "original_user_password",
}
@unittest.skipUnless(
SupersetTestCase.is_module_installed("mysqlclient"), "mysqlclient not installed"
)
@mock.patch("superset.models.core.create_engine")
def test_adjust_engine_params_mysql(self, mocked_create_engine):
model = Database(
database_name="test_database1",
sqlalchemy_uri="mysql://user:password@localhost",
)
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "mysql://user:password@localhost"
assert call_args[1]["connect_args"]["local_infile"] == 0
model = Database(
database_name="test_database2",
sqlalchemy_uri="mysql+mysqlconnector://user:password@localhost",
)
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "mysql+mysqlconnector://user:password@localhost"
assert call_args[1]["connect_args"]["allow_local_infile"] == 0
@mock.patch("superset.models.core.create_engine")
def test_impersonate_user_trino(self, mocked_create_engine):
principal_user = security_manager.find_user(username="gamma")
with override_user(principal_user):
model = Database(
database_name="test_database", sqlalchemy_uri="trino://localhost"
)
model.impersonate_user = True
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "trino://localhost/"
assert call_args[1]["connect_args"]["user"] == "gamma"
model = Database(
database_name="test_database",
sqlalchemy_uri="trino://original_user:original_user_password@localhost",
)
model.impersonate_user = True
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert (
str(call_args[0][0])
== "trino://original_user:original_user_password@localhost/"
)
assert call_args[1]["connect_args"]["user"] == "gamma"
@mock.patch("superset.models.core.create_engine")
@unittest.skipUnless(
SupersetTestCase.is_module_installed("pyhive"), "pyhive not installed"
)
@unittest.skipUnless(
SupersetTestCase.is_module_installed("thrift"), "thrift not installed"
)
def test_impersonate_user_hive(self, mocked_create_engine):
uri = "hive://localhost"
principal_user = security_manager.find_user(username="gamma")
extra = """
{
"metadata_params": {},
"engine_params": {
"connect_args":{
"protocol": "https",
"username":"original_user",
"password":"original_user_password"
}
},
"metadata_cache_timeout": {},
"schemas_allowed_for_file_upload": []
}
"""
with override_user(principal_user):
model = Database(
database_name="test_database", sqlalchemy_uri=uri, extra=extra
)
model.impersonate_user = True
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "hive://localhost"
assert call_args[1]["connect_args"] == {
"protocol": "https",
"username": "original_user",
"password": "original_user_password",
"configuration": {"hive.server2.proxy.user": "gamma"},
}
model.impersonate_user = False
model._get_sqla_engine()
call_args = mocked_create_engine.call_args
assert str(call_args[0][0]) == "hive://localhost"
assert call_args[1]["connect_args"] == {
"protocol": "https",
"username": "original_user",
"password": "original_user_password",
}
@pytest.mark.usefixtures("load_energy_table_with_slice")
@unittest.skipUnless(
SupersetTestCase.is_module_installed("pyhive"), "pyhive not installed"
)
def test_select_star(self):
db = get_example_database()
table_name = "energy_usage"
sql = db.select_star(Table(table_name), show_cols=False, latest_partition=False)
with db.get_sqla_engine() as engine:
quote = engine.dialect.identifier_preparer.quote_identifier
source = quote(table_name) if db.backend in {"presto", "hive"} else table_name
expected = f"SELECT\n *\nFROM {source}\nLIMIT 100"
assert expected in sql
sql = db.select_star(Table(table_name), show_cols=True, latest_partition=False)
# TODO(bkyryliuk): unify sql generation
if db.backend == "presto":
assert (
'SELECT\n "source" AS "source",\n "target" AS "target",\n "value" AS "value"\nFROM "energy_usage"\nLIMIT 100' # noqa: E501
in sql
)
elif db.backend == "hive":
assert (
"SELECT\n `source`,\n `target`,\n `value`\nFROM `energy_usage`\nLIMIT 100" # noqa: E501
in sql
)
else:
assert (
"SELECT\n source,\n target,\n value\nFROM energy_usage\nLIMIT 100"
in sql
)
def test_select_star_fully_qualified_names(self):
db = get_example_database()
schema = "schema.name"
table_name = "table/name"
sql = db.select_star(
Table(table_name, schema),
show_cols=False,
latest_partition=False,
)
fully_qualified_names = {
"sqlite": '"schema.name"."table/name"',
"mysql": "`schema.name`.`table/name`",
"postgres": '"schema.name"."table/name"',
}
fully_qualified_name = fully_qualified_names.get(db.db_engine_spec.engine)
if fully_qualified_name:
expected = f"SELECT\n *\nFROM {fully_qualified_name}\nLIMIT 100"
assert sql.startswith(expected)
def test_single_statement(self):
main_db = get_example_database()
if main_db.backend == "mysql":
df = main_db.get_df("SELECT 1", None, None)
assert df.iat[0, 0] == 1
df = main_db.get_df("SELECT 1;", None, None)
assert df.iat[0, 0] == 1
def test_multi_statement(self):
main_db = get_example_database()
if main_db.backend == "mysql":
df = main_db.get_df("USE superset; SELECT 1", None, None)
assert df.iat[0, 0] == 1
df = main_db.get_df("USE superset; SELECT ';';", None, None)
assert df.iat[0, 0] == ";"
@mock.patch("superset.models.core.create_engine")
def test_get_sqla_engine(self, mocked_create_engine):
model = Database(
database_name="test_database",
sqlalchemy_uri="mysql://root@localhost",
)
model.db_engine_spec.get_dbapi_exception_mapping = mock.Mock(
return_value={Exception: SupersetException}
)
mocked_create_engine.side_effect = Exception()
with self.assertRaises(SupersetException): # noqa: PT027
model._get_sqla_engine()
class TestSqlaTableModel(SupersetTestCase):
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_get_timestamp_expression(self):
tbl = self.get_table(name="birth_names")
ds_col = tbl.get_column("ds")
sqla_literal = ds_col.get_timestamp_expression(None)
assert str(sqla_literal.compile()) == "ds"
sqla_literal = ds_col.get_timestamp_expression("P1D")
compiled = f"{sqla_literal.compile()}"
if tbl.database.backend == "mysql":
assert compiled == "DATE(ds)"
prev_ds_expr = ds_col.expression
ds_col.expression = "DATE_ADD(ds, 1)"
sqla_literal = ds_col.get_timestamp_expression("P1D")
compiled = f"{sqla_literal.compile()}"
if tbl.database.backend == "mysql":
assert compiled == "DATE(DATE_ADD(ds, 1))"
ds_col.expression = prev_ds_expr
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_get_timestamp_expression_epoch(self):
tbl = self.get_table(name="birth_names")
ds_col = tbl.get_column("ds")
ds_col.expression = None
ds_col.python_date_format = "epoch_s"
sqla_literal = ds_col.get_timestamp_expression(None)
compiled = f"{sqla_literal.compile()}"
if tbl.database.backend == "mysql":
assert compiled == "from_unixtime(ds)"
ds_col.python_date_format = "epoch_s"
sqla_literal = ds_col.get_timestamp_expression("P1D")
compiled = f"{sqla_literal.compile()}"
if tbl.database.backend == "mysql":
assert compiled == "DATE(from_unixtime(ds))"
prev_ds_expr = ds_col.expression
ds_col.expression = "DATE_ADD(ds, 1)"
sqla_literal = ds_col.get_timestamp_expression("P1D")
compiled = f"{sqla_literal.compile()}"
if tbl.database.backend == "mysql":
assert compiled == "DATE(from_unixtime(DATE_ADD(ds, 1)))"
ds_col.expression = prev_ds_expr
def query_with_expr_helper(self, is_timeseries, inner_join=True):
tbl = self.get_table(name="birth_names")
ds_col = tbl.get_column("ds")
ds_col.expression = None
ds_col.python_date_format = None
spec = self.get_database_by_id(tbl.database_id).db_engine_spec
if not spec.allows_joins and inner_join:
# if the db does not support inner joins, we cannot force it so
return None
old_inner_join = spec.allows_joins
spec.allows_joins = inner_join
# Use database-specific string concatenation syntax
arbitrary_gby = (
"CONCAT(state, gender, '_test')"
if get_example_database().backend == "mysql"
else "state || gender || '_test'"
)
arbitrary_metric = dict( # noqa: C408
label="arbitrary", expressionType="SQL", sqlExpression="SUM(num_boys)"
)
query_obj = dict( # noqa: C408
groupby=[arbitrary_gby, "name"],
metrics=[arbitrary_metric],
filter=[],
is_timeseries=is_timeseries,
columns=[],
granularity="ds",
from_dttm=None,
to_dttm=None,
extras=dict(time_grain_sqla="P1Y"), # noqa: C408
series_limit=15 if inner_join and is_timeseries else None,
)
qr = tbl.query(query_obj)
assert qr.status == QueryStatus.SUCCESS
sql = qr.query
assert arbitrary_gby in sql
assert "name" in sql
if inner_join and is_timeseries:
assert "JOIN" in sql.upper()
else:
assert "JOIN" not in sql.upper()
spec.allows_joins = old_inner_join
assert not qr.df.empty
return qr.df
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_query_with_expr_groupby_timeseries(self):
if get_example_database().backend == "presto":
# TODO(bkyryliuk): make it work for presto.
return
def canonicalize_df(df):
ret = df.sort_values(by=list(df.columns.values), inplace=False)
ret.reset_index(inplace=True, drop=True)
return ret
df1 = self.query_with_expr_helper(is_timeseries=True, inner_join=True)
name_list1 = canonicalize_df(df1).name.values.tolist()
df2 = self.query_with_expr_helper(is_timeseries=True, inner_join=False)
name_list2 = canonicalize_df(df1).name.values.tolist()
assert not df2.empty
assert name_list2 == name_list1
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_query_with_expr_groupby(self):
self.query_with_expr_helper(is_timeseries=False)
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_sql_mutator(self):
tbl = self.get_table(name="birth_names")
query_obj = dict( # noqa: C408
groupby=[],
metrics=None,
filter=[],
is_timeseries=False,
columns=["name"],
granularity=None,
from_dttm=None,
to_dttm=None,
extras={},
)
sql = tbl.get_query_str(query_obj)
assert "-- COMMENT" not in sql
def mutator(*args, **kwargs):
return "-- COMMENT\n" + args[0]
current_app.config["SQL_QUERY_MUTATOR"] = mutator
sql = tbl.get_query_str(query_obj)
assert "-- COMMENT" in sql
current_app.config["SQL_QUERY_MUTATOR"] = None
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_sql_mutator_different_params(self):
tbl = self.get_table(name="birth_names")
query_obj = dict( # noqa: C408
groupby=[],
metrics=None,
filter=[],
is_timeseries=False,
columns=["name"],
granularity=None,
from_dttm=None,
to_dttm=None,
extras={},
)
sql = tbl.get_query_str(query_obj)
assert "-- COMMENT" not in sql
def mutator(sql, database=None, **kwargs):
return "-- COMMENT\n--" + "\n" + str(database) + "\n" + sql
current_app.config["SQL_QUERY_MUTATOR"] = mutator
mutated_sql = tbl.get_query_str(query_obj)
assert "-- COMMENT" in mutated_sql
assert tbl.database.name in mutated_sql
current_app.config["SQL_QUERY_MUTATOR"] = None
def test_query_with_non_existent_metrics(self):
tbl = self.get_table(name="birth_names")
query_obj = dict( # noqa: C408
groupby=[],
metrics=["invalid"],
filter=[],
is_timeseries=False,
columns=["name"],
granularity=None,
from_dttm=None,
to_dttm=None,
extras={},
)
with self.assertRaises(Exception) as context: # noqa: PT027
tbl.get_query_str(query_obj)
assert "Metric 'invalid' does not exist", context.exception
def test_query_label_without_group_by(self):
tbl = self.get_table(name="birth_names")
query_obj = dict( # noqa: C408
groupby=[],
columns=[
"gender",
{
"label": "Given Name",
"sqlExpression": "name",
"expressionType": "SQL",
},
],
filter=[],
is_timeseries=False,
granularity=None,
from_dttm=None,
to_dttm=None,
extras={},
)
sql = tbl.get_query_str(query_obj)
assert re.search('name AS ["`]?Given Name["`]?', sql) # noqa: F821
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_data_for_slices_with_no_query_context(self):
tbl = self.get_table(name="birth_names")
slc = (
metadata_db.session.query(Slice)
.filter_by(
datasource_id=tbl.id,
datasource_type=tbl.type,
slice_name="Genders",
)
.first()
)
data_for_slices = tbl.data_for_slices([slc])
assert len(data_for_slices["metrics"]) == 1
assert len(data_for_slices["columns"]) == 1
assert data_for_slices["metrics"][0]["metric_name"] == "sum__num"
assert data_for_slices["columns"][0]["column_name"] == "gender"
assert set(data_for_slices["verbose_map"].keys()) == {
"__timestamp",
"sum__num",
"gender",
}
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_data_for_slices_with_query_context(self):
tbl = self.get_table(name="birth_names")
slc = (
metadata_db.session.query(Slice)
.filter_by(
datasource_id=tbl.id,
datasource_type=tbl.type,
slice_name="Pivot Table v2",
)
.first()
)
data_for_slices = tbl.data_for_slices([slc])
assert len(data_for_slices["metrics"]) == 1
assert len(data_for_slices["columns"]) == 2
assert data_for_slices["metrics"][0]["metric_name"] == "sum__num"
column_names = [col["column_name"] for col in data_for_slices["columns"]]
assert "name" in column_names
assert "state" in column_names
assert set(data_for_slices["verbose_map"].keys()) == {
"__timestamp",
"sum__num",
"name",
"state",
}
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_data_for_slices_with_adhoc_column(self):
# should perform sqla.model.BaseDatasource.data_for_slices() with adhoc
# column and legacy chart
tbl = self.get_table(name="birth_names")
dashboard = self.get_dash_by_slug("births")
slc = Slice(
slice_name="slice with adhoc column",
datasource_type=DatasourceType.TABLE,
viz_type="table",
params=json.dumps(
{
"adhoc_filters": [],
"granularity_sqla": "ds",
"groupby": [
"name",
{"label": "adhoc_column", "sqlExpression": "name"},
],
"metrics": ["sum__num"],
"time_range": "No filter",
"viz_type": "table",
}
),
datasource_id=tbl.id,
)
dashboard.slices.append(slc)
datasource_info = slc.datasource.data_for_slices([slc])
assert "database" in datasource_info
# clean up and auto commit
metadata_db.session.delete(slc)
@pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
def test_table_column_database(self) -> None:
tbl = self.get_table(name="birth_names")
assert tbl.get_column("ds").database is tbl.database # type: ignore