def test_extraction_with_database_specified(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
sql_execute.return_value = [{
'schema': 'test_schema',
'name': 'test_table',
'description': 'a table for testing',
'cluster': 'MY_CLUSTER',
'is_view': 'false',
'col_name': 'ds',
'col_type': 'varchar',
'col_description': None,
'col_sort_order': 0
}]
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
actual = extractor.extract()
expected = TableMetadata(
self.database_key, 'MY_CLUSTER', 'test_schema', 'test_table',
'a table for testing',
[ColumnMetadata('ds', None, 'varchar', 0)])
self.assertEqual(expected.__repr__(), actual.__repr__())
self.assertIsNone(extractor.extract())
def test_extraction_with_empty_query_result(self) -> 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['extractor.snowflake_metadata.{}'.format(
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(
'snowflake', '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_multiple_result(self) -> 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_schema1',
'name':
'test_table1',
'description':
'test table 1',
'cluster':
self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'is_view':
'nottrue'
}
table1 = {
'schema':
'test_schema1',
'name':
'test_table2',
'description':
'test table 2',
'cluster':
self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'is_view':
'false'
}
table2 = {
'schema':
'test_schema2',
'name':
'test_table3',
'description':
'test table 3',
'cluster':
self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'is_view':
'true'
}
sql_execute.return_value = [
self._union(
{
'col_name': 'col_id1',
'col_type': 'number',
'col_description': 'description of col_id1',
'col_sort_order': 0
}, table),
self._union(
{
'col_name': 'col_id2',
'col_type': 'number',
'col_description': 'description of col_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),
self._union(
{
'col_name': 'col_name',
'col_type': 'varchar',
'col_description': 'description of col_name',
'col_sort_order': 0
}, table1),
self._union(
{
'col_name': 'col_name2',
'col_type': 'varchar',
'col_description': 'description of col_name2',
'col_sort_order': 1
}, table1),
self._union(
{
'col_name': 'col_id3',
'col_type': 'varchar',
'col_description': 'description of col_id3',
'col_sort_order': 0
}, table2),
self._union(
{
'col_name': 'col_name3',
'col_type': 'varchar',
'col_description': 'description of col_name3',
'col_sort_order': 1
}, table2)
]
extractor = SnowflakeMetadataExtractor()
extractor.init(self.conf)
expected = TableMetadata(
'snowflake', self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'test_schema1', 'test_table1', 'test table 1', [
ColumnMetadata('col_id1', 'description of col_id1',
'number', 0),
ColumnMetadata('col_id2', 'description of col_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__(),
extractor.extract().__repr__())
expected = TableMetadata(
'snowflake', self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'test_schema1', 'test_table2', 'test table 2', [
ColumnMetadata('col_name', 'description of col_name',
'varchar', 0),
ColumnMetadata('col_name2', 'description of col_name2',
'varchar', 1)
])
self.assertEqual(expected.__repr__(),
extractor.extract().__repr__())
expected = TableMetadata(
'snowflake', self.conf[
f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'],
'test_schema2', 'test_table3', 'test table 3', [
ColumnMetadata('col_id3', 'description of col_id3',
'varchar', 0),
ColumnMetadata('col_name3', 'description of col_name3',
'varchar', 1)
], True)
self.assertEqual(expected.__repr__(),
extractor.extract().__repr__())
self.assertIsNone(extractor.extract())
self.assertIsNone(extractor.extract())