def test_sql_statement(self):
# type: () -> None
"""
Test Extraction with empty result from query
"""
with patch.object(SQLAlchemyExtractor, "_get_connection"):
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
self.assertTrue(self.cluster_key in extractor.sql_stmt)
def test_sql_statement(self):
# type: () -> None
"""
Test Extraction with empty result from query
"""
with patch.object(SQLAlchemyExtractor, '_get_connection'):
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
self.assertTrue(self.where_clause_suffix in extractor.sql_stmt)
def test_extraction_with_empty_query_result(self):
# type: () -> None
"""
Test Extraction with empty result from query
"""
with patch.object(SQLAlchemyExtractor, "_get_connection"):
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
results = extractor.extract()
self.assertEqual(results, None)
def test_extraction_with_single_result(self):
# type: () -> None
with patch.object(SQLAlchemyExtractor,
"_get_connection") as mock_connection:
connection = MagicMock()
mock_connection.return_value = connection
sql_execute = MagicMock()
connection.execute = sql_execute
table = {
"schema": "test_schema",
"name": "test_table",
"description": "a table for testing",
"cluster": self.conf[SnowflakeMetadataExtractor.CLUSTER_KEY],
"is_view": "false",
}
sql_execute.return_value = [
self._union(
{
"col_name": "col_id1",
"data_type": "number",
"col_description": "description of id1",
"col_sort_order": 0,
},
table,
),
self._union(
{
"col_name": "col_id2",
"data_type": "number",
"col_description": "description of id2",
"col_sort_order": 1,
},
table,
),
self._union(
{
"col_name": "is_active",
"data_type": "boolean",
"col_description": None,
"col_sort_order": 2,
},
table,
),
self._union(
{
"col_name": "source",
"data_type": "varchar",
"col_description": "description of source",
"col_sort_order": 3,
},
table,
),
self._union(
{
"col_name": "etl_created_at",
"data_type": "timestamp_ltz",
"col_description": "description of etl_created_at",
"col_sort_order": 4,
},
table,
),
self._union(
{
"col_name": "ds",
"data_type": "varchar",
"col_description": None,
"col_sort_order": 5,
},
table,
),
]
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
actual = extractor.extract()
expected = TableMetadata(
"prod",
"MY_CLUSTER",
"test_schema",
"test_table",
"a table for testing",
[
ColumnMetadata("col_id1", "description of id1", "number",
0),
ColumnMetadata("col_id2", "description of id2", "number",
1),
ColumnMetadata("is_active", None, "boolean", 2),
ColumnMetadata("source", "description of source",
"varchar", 3),
ColumnMetadata(
"etl_created_at",
"description of etl_created_at",
"timestamp_ltz",
4,
),
ColumnMetadata("ds", None, "varchar", 5),
],
)
self.assertEqual(expected.__repr__(), actual.__repr__())
self.assertIsNone(extractor.extract())
def test_extraction_with_single_result(self):
# type: () -> None
with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection:
connection = MagicMock()
mock_connection.return_value = connection
sql_execute = MagicMock()
connection.execute = sql_execute
table = {'schema': 'test_schema',
'name': 'test_table',
'description': 'a table for testing',
'cluster':
self.conf[SnowflakeMetadataExtractor.CLUSTER_KEY],
'is_view': 'false'
}
sql_execute.return_value = [
self._union(
{'col_name': 'col_id1',
'col_type': 'number',
'col_description': 'description of id1',
'col_sort_order': 0}, table),
self._union(
{'col_name': 'col_id2',
'col_type': 'number',
'col_description': 'description of id2',
'col_sort_order': 1}, table),
self._union(
{'col_name': 'is_active',
'col_type': 'boolean',
'col_description': None,
'col_sort_order': 2}, table),
self._union(
{'col_name': 'source',
'col_type': 'varchar',
'col_description': 'description of source',
'col_sort_order': 3}, table),
self._union(
{'col_name': 'etl_created_at',
'col_type': 'timestamp_ltz',
'col_description': 'description of etl_created_at',
'col_sort_order': 4}, table),
self._union(
{'col_name': 'ds',
'col_type': 'varchar',
'col_description': None,
'col_sort_order': 5}, table)
]
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
actual = extractor.extract()
expected = TableMetadata('prod', 'MY_CLUSTER', 'test_schema', 'test_table', 'a table for testing',
[ColumnMetadata('col_id1', 'description of id1', 'number', 0),
ColumnMetadata('col_id2', 'description of id2', 'number', 1),
ColumnMetadata('is_active', None, 'boolean', 2),
ColumnMetadata('source', 'description of source', 'varchar', 3),
ColumnMetadata('etl_created_at', 'description of etl_created_at',
'timestamp_ltz', 4),
ColumnMetadata('ds', None, 'varchar', 5)])
self.assertEqual(expected.__repr__(), actual.__repr__())
self.assertIsNone(extractor.extract())