mirror of https://github.com/apache/superset.git
110 lines
4.4 KiB
Python
110 lines
4.4 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# isort:skip_file
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from typing import Dict
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from superset.connectors.sqla.models import SqlaTable, TableColumn
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from superset.db_engine_specs.druid import DruidEngineSpec
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from superset.models.core import Database
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from superset.utils.core import DbColumnType, get_example_database
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from .base_tests import SupersetTestCase
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class DatabaseModelTestCase(SupersetTestCase):
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def test_is_time_druid_time_col(self):
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"""Druid has a special __time column"""
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database = Database(database_name="druid_db", sqlalchemy_uri="druid://db")
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tbl = SqlaTable(table_name="druid_tbl", database=database)
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col = TableColumn(column_name="__time", type="INTEGER", table=tbl)
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self.assertEqual(col.is_dttm, None)
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DruidEngineSpec.alter_new_orm_column(col)
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self.assertEqual(col.is_dttm, True)
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col = TableColumn(column_name="__not_time", type="INTEGER", table=tbl)
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self.assertEqual(col.is_temporal, False)
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def test_db_column_types(self):
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test_cases: Dict[str, DbColumnType] = {
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# string
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"CHAR": DbColumnType.STRING,
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"VARCHAR": DbColumnType.STRING,
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"NVARCHAR": DbColumnType.STRING,
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"STRING": DbColumnType.STRING,
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# numeric
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"INT": DbColumnType.NUMERIC,
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"BIGINT": DbColumnType.NUMERIC,
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"FLOAT": DbColumnType.NUMERIC,
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"DECIMAL": DbColumnType.NUMERIC,
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"MONEY": DbColumnType.NUMERIC,
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# temporal
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"DATE": DbColumnType.TEMPORAL,
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"DATETIME": DbColumnType.TEMPORAL,
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"TIME": DbColumnType.TEMPORAL,
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"TIMESTAMP": DbColumnType.TEMPORAL,
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}
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tbl = SqlaTable(table_name="col_type_test_tbl", database=get_example_database())
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for str_type, db_col_type in test_cases.items():
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col = TableColumn(column_name="foo", type=str_type, table=tbl)
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self.assertEqual(col.is_temporal, db_col_type == DbColumnType.TEMPORAL)
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self.assertEqual(col.is_numeric, db_col_type == DbColumnType.NUMERIC)
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self.assertEqual(col.is_string, db_col_type == DbColumnType.STRING)
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def test_has_extra_cache_keys(self):
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query = "SELECT '{{ cache_key_wrapper('user_1') }}' as user"
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table = SqlaTable(
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table_name="test_has_extra_cache_keys_table",
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sql=query,
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database=get_example_database(),
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)
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query_obj = {
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"granularity": None,
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"from_dttm": None,
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"to_dttm": None,
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"groupby": ["user"],
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"metrics": [],
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"is_timeseries": False,
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"filter": [],
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"extras": {"where": "(user != '{{ cache_key_wrapper('user_2') }}')"},
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}
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extra_cache_keys = table.get_extra_cache_keys(query_obj)
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self.assertTrue(table.has_calls_to_cache_key_wrapper(query_obj))
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self.assertListEqual(extra_cache_keys, ["user_1", "user_2"])
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def test_has_no_extra_cache_keys(self):
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query = "SELECT 'abc' as user"
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table = SqlaTable(
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table_name="test_has_no_extra_cache_keys_table",
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sql=query,
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database=get_example_database(),
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)
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query_obj = {
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"granularity": None,
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"from_dttm": None,
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"to_dttm": None,
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"groupby": ["user"],
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"metrics": [],
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"is_timeseries": False,
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"filter": [],
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"extras": {"where": "(user != 'abc')"},
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}
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extra_cache_keys = table.get_extra_cache_keys(query_obj)
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self.assertFalse(table.has_calls_to_cache_key_wrapper(query_obj))
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self.assertListEqual(extra_cache_keys, [])
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