mirror of
https://github.com/apache/superset.git
synced 2024-09-18 11:39:49 -04:00
982c234a50
* fix: remove character set and collate column info by default * lint * remove collation and charset info before compile
112 lines
4.5 KiB
Python
112 lines
4.5 KiB
Python
# 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
|
|
from typing import Dict
|
|
|
|
from superset.connectors.sqla.models import SqlaTable, TableColumn
|
|
from superset.db_engine_specs.druid import DruidEngineSpec
|
|
from superset.models.core import Database
|
|
from superset.utils.core import DbColumnType, get_example_database
|
|
|
|
from .base_tests import SupersetTestCase
|
|
|
|
|
|
class DatabaseModelTestCase(SupersetTestCase):
|
|
def test_is_time_druid_time_col(self):
|
|
"""Druid has a special __time column"""
|
|
|
|
database = Database(database_name="druid_db", sqlalchemy_uri="druid://db")
|
|
tbl = SqlaTable(table_name="druid_tbl", database=database)
|
|
col = TableColumn(column_name="__time", type="INTEGER", table=tbl)
|
|
self.assertEqual(col.is_dttm, None)
|
|
DruidEngineSpec.alter_new_orm_column(col)
|
|
self.assertEqual(col.is_dttm, True)
|
|
|
|
col = TableColumn(column_name="__not_time", type="INTEGER", table=tbl)
|
|
self.assertEqual(col.is_temporal, False)
|
|
|
|
def test_db_column_types(self):
|
|
test_cases: Dict[str, DbColumnType] = {
|
|
# string
|
|
"CHAR": DbColumnType.STRING,
|
|
"VARCHAR": DbColumnType.STRING,
|
|
"NVARCHAR": DbColumnType.STRING,
|
|
"STRING": DbColumnType.STRING,
|
|
"TEXT": DbColumnType.STRING,
|
|
"NTEXT": DbColumnType.STRING,
|
|
# numeric
|
|
"INT": DbColumnType.NUMERIC,
|
|
"BIGINT": DbColumnType.NUMERIC,
|
|
"FLOAT": DbColumnType.NUMERIC,
|
|
"DECIMAL": DbColumnType.NUMERIC,
|
|
"MONEY": DbColumnType.NUMERIC,
|
|
# temporal
|
|
"DATE": DbColumnType.TEMPORAL,
|
|
"DATETIME": DbColumnType.TEMPORAL,
|
|
"TIME": DbColumnType.TEMPORAL,
|
|
"TIMESTAMP": DbColumnType.TEMPORAL,
|
|
}
|
|
|
|
tbl = SqlaTable(table_name="col_type_test_tbl", database=get_example_database())
|
|
for str_type, db_col_type in test_cases.items():
|
|
col = TableColumn(column_name="foo", type=str_type, table=tbl)
|
|
self.assertEqual(col.is_temporal, db_col_type == DbColumnType.TEMPORAL)
|
|
self.assertEqual(col.is_numeric, db_col_type == DbColumnType.NUMERIC)
|
|
self.assertEqual(col.is_string, db_col_type == DbColumnType.STRING)
|
|
|
|
def test_has_extra_cache_keys(self):
|
|
query = "SELECT '{{ cache_key_wrapper('user_1') }}' as user"
|
|
table = SqlaTable(
|
|
table_name="test_has_extra_cache_keys_table",
|
|
sql=query,
|
|
database=get_example_database(),
|
|
)
|
|
query_obj = {
|
|
"granularity": None,
|
|
"from_dttm": None,
|
|
"to_dttm": None,
|
|
"groupby": ["user"],
|
|
"metrics": [],
|
|
"is_timeseries": False,
|
|
"filter": [],
|
|
"extras": {"where": "(user != '{{ cache_key_wrapper('user_2') }}')"},
|
|
}
|
|
extra_cache_keys = table.get_extra_cache_keys(query_obj)
|
|
self.assertTrue(table.has_calls_to_cache_key_wrapper(query_obj))
|
|
self.assertListEqual(extra_cache_keys, ["user_1", "user_2"])
|
|
|
|
def test_has_no_extra_cache_keys(self):
|
|
query = "SELECT 'abc' as user"
|
|
table = SqlaTable(
|
|
table_name="test_has_no_extra_cache_keys_table",
|
|
sql=query,
|
|
database=get_example_database(),
|
|
)
|
|
query_obj = {
|
|
"granularity": None,
|
|
"from_dttm": None,
|
|
"to_dttm": None,
|
|
"groupby": ["user"],
|
|
"metrics": [],
|
|
"is_timeseries": False,
|
|
"filter": [],
|
|
"extras": {"where": "(user != 'abc')"},
|
|
}
|
|
extra_cache_keys = table.get_extra_cache_keys(query_obj)
|
|
self.assertFalse(table.has_calls_to_cache_key_wrapper(query_obj))
|
|
self.assertListEqual(extra_cache_keys, [])
|