mirror of https://github.com/apache/superset.git
517 lines
20 KiB
Python
517 lines
20 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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from unittest import mock, skipUnless
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import pandas as pd
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from sqlalchemy import types
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from sqlalchemy.engine.result import RowProxy
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from sqlalchemy.sql import select
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from superset.db_engine_specs.presto import PrestoEngineSpec
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from tests.db_engine_specs.base_tests import TestDbEngineSpec
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class TestPrestoDbEngineSpec(TestDbEngineSpec):
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@skipUnless(TestDbEngineSpec.is_module_installed("pyhive"), "pyhive not installed")
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def test_get_datatype_presto(self):
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self.assertEqual("STRING", PrestoEngineSpec.get_datatype("string"))
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def test_presto_get_view_names_return_empty_list(
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self,
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): # pylint: disable=invalid-name
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self.assertEqual(
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[], PrestoEngineSpec.get_view_names(mock.ANY, mock.ANY, mock.ANY)
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)
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def verify_presto_column(self, column, expected_results):
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inspector = mock.Mock()
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inspector.engine.dialect.identifier_preparer.quote_identifier = mock.Mock()
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keymap = {
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"Column": (None, None, 0),
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"Type": (None, None, 1),
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"Null": (None, None, 2),
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}
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row = RowProxy(mock.Mock(), column, [None, None, None, None], keymap)
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inspector.bind.execute = mock.Mock(return_value=[row])
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results = PrestoEngineSpec.get_columns(inspector, "", "")
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self.assertEqual(len(expected_results), len(results))
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for expected_result, result in zip(expected_results, results):
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self.assertEqual(expected_result[0], result["name"])
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self.assertEqual(expected_result[1], str(result["type"]))
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def test_presto_get_column(self):
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presto_column = ("column_name", "boolean", "")
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expected_results = [("column_name", "BOOLEAN")]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_simple_row_column(self):
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presto_column = ("column_name", "row(nested_obj double)", "")
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expected_results = [("column_name", "ROW"), ("column_name.nested_obj", "FLOAT")]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_simple_row_column_with_name_containing_whitespace(self):
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presto_column = ("column name", "row(nested_obj double)", "")
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expected_results = [("column name", "ROW"), ("column name.nested_obj", "FLOAT")]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_simple_row_column_with_tricky_nested_field_name(self):
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presto_column = ("column_name", 'row("Field Name(Tricky, Name)" double)', "")
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expected_results = [
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("column_name", "ROW"),
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('column_name."Field Name(Tricky, Name)"', "FLOAT"),
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]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_simple_array_column(self):
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presto_column = ("column_name", "array(double)", "")
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expected_results = [("column_name", "ARRAY")]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_row_within_array_within_row_column(self):
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presto_column = (
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"column_name",
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"row(nested_array array(row(nested_row double)), nested_obj double)",
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"",
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)
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expected_results = [
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("column_name", "ROW"),
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("column_name.nested_array", "ARRAY"),
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("column_name.nested_array.nested_row", "FLOAT"),
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("column_name.nested_obj", "FLOAT"),
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]
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self.verify_presto_column(presto_column, expected_results)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_get_array_within_row_within_array_column(self):
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presto_column = (
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"column_name",
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"array(row(nested_array array(double), nested_obj double))",
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"",
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)
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expected_results = [
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("column_name", "ARRAY"),
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("column_name.nested_array", "ARRAY"),
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("column_name.nested_obj", "FLOAT"),
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]
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self.verify_presto_column(presto_column, expected_results)
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def test_presto_get_fields(self):
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cols = [
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{"name": "column"},
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{"name": "column.nested_obj"},
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{"name": 'column."quoted.nested obj"'},
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]
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actual_results = PrestoEngineSpec._get_fields(cols)
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expected_results = [
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{"name": '"column"', "label": "column"},
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{"name": '"column"."nested_obj"', "label": "column.nested_obj"},
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{
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"name": '"column"."quoted.nested obj"',
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"label": 'column."quoted.nested obj"',
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},
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]
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for actual_result, expected_result in zip(actual_results, expected_results):
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self.assertEqual(actual_result.element.name, expected_result["name"])
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self.assertEqual(actual_result.name, expected_result["label"])
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_expand_data_with_simple_structural_columns(self):
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cols = [
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{"name": "row_column", "type": "ROW(NESTED_OBJ VARCHAR)"},
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{"name": "array_column", "type": "ARRAY(BIGINT)"},
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]
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data = [
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{"row_column": ["a"], "array_column": [1, 2, 3]},
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{"row_column": ["b"], "array_column": [4, 5, 6]},
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]
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actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
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cols, data
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)
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expected_cols = [
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{"name": "row_column", "type": "ROW(NESTED_OBJ VARCHAR)"},
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{"name": "row_column.nested_obj", "type": "VARCHAR"},
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{"name": "array_column", "type": "ARRAY(BIGINT)"},
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]
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expected_data = [
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{"array_column": 1, "row_column": ["a"], "row_column.nested_obj": "a"},
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{"array_column": 2, "row_column": "", "row_column.nested_obj": ""},
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{"array_column": 3, "row_column": "", "row_column.nested_obj": ""},
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{"array_column": 4, "row_column": ["b"], "row_column.nested_obj": "b"},
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{"array_column": 5, "row_column": "", "row_column.nested_obj": ""},
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{"array_column": 6, "row_column": "", "row_column.nested_obj": ""},
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]
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expected_expanded_cols = [{"name": "row_column.nested_obj", "type": "VARCHAR"}]
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self.assertEqual(actual_cols, expected_cols)
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self.assertEqual(actual_data, expected_data)
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self.assertEqual(actual_expanded_cols, expected_expanded_cols)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_expand_data_with_complex_row_columns(self):
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cols = [
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{
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"name": "row_column",
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"type": "ROW(NESTED_OBJ1 VARCHAR, NESTED_ROW ROW(NESTED_OBJ2 VARCHAR))",
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}
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]
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data = [{"row_column": ["a1", ["a2"]]}, {"row_column": ["b1", ["b2"]]}]
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actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
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cols, data
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)
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expected_cols = [
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{
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"name": "row_column",
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"type": "ROW(NESTED_OBJ1 VARCHAR, NESTED_ROW ROW(NESTED_OBJ2 VARCHAR))",
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},
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{"name": "row_column.nested_obj1", "type": "VARCHAR"},
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{"name": "row_column.nested_row", "type": "ROW(NESTED_OBJ2 VARCHAR)"},
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{"name": "row_column.nested_row.nested_obj2", "type": "VARCHAR"},
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]
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expected_data = [
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{
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"row_column": ["a1", ["a2"]],
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"row_column.nested_obj1": "a1",
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"row_column.nested_row": ["a2"],
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"row_column.nested_row.nested_obj2": "a2",
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},
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{
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"row_column": ["b1", ["b2"]],
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"row_column.nested_obj1": "b1",
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"row_column.nested_row": ["b2"],
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"row_column.nested_row.nested_obj2": "b2",
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},
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]
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expected_expanded_cols = [
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{"name": "row_column.nested_obj1", "type": "VARCHAR"},
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{"name": "row_column.nested_row", "type": "ROW(NESTED_OBJ2 VARCHAR)"},
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{"name": "row_column.nested_row.nested_obj2", "type": "VARCHAR"},
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]
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self.assertEqual(actual_cols, expected_cols)
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self.assertEqual(actual_data, expected_data)
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self.assertEqual(actual_expanded_cols, expected_expanded_cols)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_expand_data_with_complex_array_columns(self):
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cols = [
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{"name": "int_column", "type": "BIGINT"},
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{
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"name": "array_column",
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"type": "ARRAY(ROW(NESTED_ARRAY ARRAY(ROW(NESTED_OBJ VARCHAR))))",
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},
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]
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data = [
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{"int_column": 1, "array_column": [[[["a"], ["b"]]], [[["c"], ["d"]]]]},
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{"int_column": 2, "array_column": [[[["e"], ["f"]]], [[["g"], ["h"]]]]},
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]
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actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
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cols, data
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)
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expected_cols = [
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{"name": "int_column", "type": "BIGINT"},
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{
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"name": "array_column",
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"type": "ARRAY(ROW(NESTED_ARRAY ARRAY(ROW(NESTED_OBJ VARCHAR))))",
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},
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{
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"name": "array_column.nested_array",
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"type": "ARRAY(ROW(NESTED_OBJ VARCHAR))",
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},
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{"name": "array_column.nested_array.nested_obj", "type": "VARCHAR"},
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]
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expected_data = [
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{
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"array_column": [[["a"], ["b"]]],
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"array_column.nested_array": ["a"],
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"array_column.nested_array.nested_obj": "a",
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"int_column": 1,
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},
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{
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"array_column": "",
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"array_column.nested_array": ["b"],
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"array_column.nested_array.nested_obj": "b",
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"int_column": "",
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},
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{
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"array_column": [[["c"], ["d"]]],
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"array_column.nested_array": ["c"],
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"array_column.nested_array.nested_obj": "c",
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"int_column": "",
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},
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{
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"array_column": "",
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"array_column.nested_array": ["d"],
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"array_column.nested_array.nested_obj": "d",
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"int_column": "",
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},
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{
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"array_column": [[["e"], ["f"]]],
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"array_column.nested_array": ["e"],
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"array_column.nested_array.nested_obj": "e",
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"int_column": 2,
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},
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{
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"array_column": "",
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"array_column.nested_array": ["f"],
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"array_column.nested_array.nested_obj": "f",
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"int_column": "",
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},
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{
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"array_column": [[["g"], ["h"]]],
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"array_column.nested_array": ["g"],
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"array_column.nested_array.nested_obj": "g",
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"int_column": "",
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},
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{
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"array_column": "",
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"array_column.nested_array": ["h"],
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"array_column.nested_array.nested_obj": "h",
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"int_column": "",
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},
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]
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expected_expanded_cols = [
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{
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"name": "array_column.nested_array",
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"type": "ARRAY(ROW(NESTED_OBJ VARCHAR))",
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},
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{"name": "array_column.nested_array.nested_obj", "type": "VARCHAR"},
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]
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self.assertEqual(actual_cols, expected_cols)
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self.assertEqual(actual_data, expected_data)
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self.assertEqual(actual_expanded_cols, expected_expanded_cols)
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def test_presto_extra_table_metadata(self):
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db = mock.Mock()
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db.get_indexes = mock.Mock(return_value=[{"column_names": ["ds", "hour"]}])
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db.get_extra = mock.Mock(return_value={})
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df = pd.DataFrame({"ds": ["01-01-19"], "hour": [1]})
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db.get_df = mock.Mock(return_value=df)
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PrestoEngineSpec.get_create_view = mock.Mock(return_value=None)
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result = PrestoEngineSpec.extra_table_metadata(db, "test_table", "test_schema")
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self.assertEqual({"ds": "01-01-19", "hour": 1}, result["partitions"]["latest"])
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def test_presto_where_latest_partition(self):
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db = mock.Mock()
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db.get_indexes = mock.Mock(return_value=[{"column_names": ["ds", "hour"]}])
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db.get_extra = mock.Mock(return_value={})
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df = pd.DataFrame({"ds": ["01-01-19"], "hour": [1]})
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db.get_df = mock.Mock(return_value=df)
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columns = [{"name": "ds"}, {"name": "hour"}]
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result = PrestoEngineSpec.where_latest_partition(
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"test_table", "test_schema", db, select(), columns
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)
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query_result = str(result.compile(compile_kwargs={"literal_binds": True}))
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self.assertEqual("SELECT \nWHERE ds = '01-01-19' AND hour = 1", query_result)
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def test_convert_dttm(self):
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dttm = self.get_dttm()
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self.assertEqual(
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PrestoEngineSpec.convert_dttm("DATE", dttm),
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"from_iso8601_date('2019-01-02')",
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)
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self.assertEqual(
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PrestoEngineSpec.convert_dttm("TIMESTAMP", dttm),
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"from_iso8601_timestamp('2019-01-02T03:04:05.678900')",
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)
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def test_query_cost_formatter(self):
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raw_cost = [
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{
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"inputTableColumnInfos": [
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{
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"table": {
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"catalog": "hive",
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"schemaTable": {
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"schema": "default",
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"table": "fact_passenger_state",
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},
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},
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"columnConstraints": [
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{
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"columnName": "ds",
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"typeSignature": "varchar",
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"domain": {
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"nullsAllowed": False,
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"ranges": [
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{
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"low": {
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"value": "2019-07-10",
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"bound": "EXACTLY",
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},
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"high": {
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"value": "2019-07-10",
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"bound": "EXACTLY",
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},
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}
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],
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},
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}
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],
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"estimate": {
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"outputRowCount": 9.04969899e8,
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"outputSizeInBytes": 3.54143678301e11,
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"cpuCost": 3.54143678301e11,
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"maxMemory": 0.0,
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"networkCost": 0.0,
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},
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}
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],
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"estimate": {
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"outputRowCount": 9.04969899e8,
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"outputSizeInBytes": 3.54143678301e11,
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"cpuCost": 3.54143678301e11,
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"maxMemory": 0.0,
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"networkCost": 3.54143678301e11,
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},
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}
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]
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formatted_cost = PrestoEngineSpec.query_cost_formatter(raw_cost)
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expected = [
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{
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"Output count": "904 M rows",
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"Output size": "354 GB",
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"CPU cost": "354 G",
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"Max memory": "0 B",
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"Network cost": "354 G",
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}
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]
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self.assertEqual(formatted_cost, expected)
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@mock.patch.dict(
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"superset.extensions.feature_flag_manager._feature_flags",
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{"PRESTO_EXPAND_DATA": True},
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clear=True,
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)
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def test_presto_expand_data_array(self):
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cols = [
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{"name": "event_id", "type": "VARCHAR", "is_date": False},
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{"name": "timestamp", "type": "BIGINT", "is_date": False},
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{
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"name": "user",
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"type": "ROW(ID BIGINT, FIRST_NAME VARCHAR, LAST_NAME VARCHAR)",
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"is_date": False,
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},
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]
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data = [
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{
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"event_id": "abcdef01-2345-6789-abcd-ef0123456789",
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"timestamp": "1595895506219",
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"user": '[1, "JOHN", "DOE"]',
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}
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]
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actual_cols, actual_data, actual_expanded_cols = PrestoEngineSpec.expand_data(
|
|
cols, data
|
|
)
|
|
expected_cols = [
|
|
{"name": "event_id", "type": "VARCHAR", "is_date": False},
|
|
{"name": "timestamp", "type": "BIGINT", "is_date": False},
|
|
{
|
|
"name": "user",
|
|
"type": "ROW(ID BIGINT, FIRST_NAME VARCHAR, LAST_NAME VARCHAR)",
|
|
"is_date": False,
|
|
},
|
|
{"name": "user.id", "type": "BIGINT"},
|
|
{"name": "user.first_name", "type": "VARCHAR"},
|
|
{"name": "user.last_name", "type": "VARCHAR"},
|
|
]
|
|
expected_data = [
|
|
{
|
|
"event_id": "abcdef01-2345-6789-abcd-ef0123456789",
|
|
"timestamp": "1595895506219",
|
|
"user": [1, "JOHN", "DOE"],
|
|
"user.id": 1,
|
|
"user.first_name": "JOHN",
|
|
"user.last_name": "DOE",
|
|
}
|
|
]
|
|
expected_expanded_cols = [
|
|
{"name": "user.id", "type": "BIGINT"},
|
|
{"name": "user.first_name", "type": "VARCHAR"},
|
|
{"name": "user.last_name", "type": "VARCHAR"},
|
|
]
|
|
|
|
self.assertEqual(actual_cols, expected_cols)
|
|
self.assertEqual(actual_data, expected_data)
|
|
self.assertEqual(actual_expanded_cols, expected_expanded_cols)
|
|
|
|
def test_get_sqla_column_type(self):
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type("varchar(255)")
|
|
assert isinstance(sqla_type, types.VARCHAR)
|
|
assert sqla_type.length == 255
|
|
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type("varchar")
|
|
assert isinstance(sqla_type, types.String)
|
|
assert sqla_type.length is None
|
|
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type("char(10)")
|
|
assert isinstance(sqla_type, types.CHAR)
|
|
assert sqla_type.length == 10
|
|
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type("char")
|
|
assert isinstance(sqla_type, types.CHAR)
|
|
assert sqla_type.length is None
|
|
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type("integer")
|
|
assert isinstance(sqla_type, types.Integer)
|
|
|
|
sqla_type = PrestoEngineSpec.get_sqla_column_type(None)
|
|
assert sqla_type is None
|