def run_mssql_job(): where_clause_suffix = textwrap.dedent(""" ('dbo') """) tmp_folder = '/var/tmp/amundsen/table_metadata' node_files_folder = '{tmp_folder}/nodes/'.format(tmp_folder=tmp_folder) relationship_files_folder = '{tmp_folder}/relationships/'.format(tmp_folder=tmp_folder) job_config = ConfigFactory.from_dict({ #'extractor.mssql_metadata.{}'.format(MSSQLMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY): # where_clause_suffix, 'extractor.mssql_metadata.{}'.format(MSSQLMetadataExtractor.USE_CATALOG_AS_CLUSTER_NAME): True, 'extractor.mssql_metadata.extractor.sqlalchemy.{}'.format(SQLAlchemyExtractor.CONN_STRING): connection_string(), 'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.NODE_DIR_PATH): node_files_folder, 'loader.filesystem_csv_neo4j.{}'.format(FsNeo4jCSVLoader.RELATION_DIR_PATH): relationship_files_folder, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.NODE_FILES_DIR): node_files_folder, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.RELATION_FILES_DIR): relationship_files_folder, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_END_POINT_KEY): neo4j_endpoint, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_USER): neo4j_user, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.NEO4J_PASSWORD): neo4j_password, 'publisher.neo4j.{}'.format(neo4j_csv_publisher.JOB_PUBLISH_TAG): 'unique_tag', # should use unique tag here like {ds} }) job = DefaultJob(conf=job_config, task=DefaultTask(extractor=MSSQLMetadataExtractor(), loader=FsNeo4jCSVLoader()), publisher=Neo4jCsvPublisher()) return job
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_name': 'test_schema', 'name': 'test_table', 'description': 'a table for testing', 'cluster': self.conf['extractor.mssql_metadata.{}'.format( MSSQLMetadataExtractor.CLUSTER_KEY)] } sql_execute.return_value = [ self._union( { 'col_name': 'col_id1', 'col_type': 'bigint', 'col_description': 'description of id1', 'col_sort_order': 0 }, table), self._union( { 'col_name': 'col_id2', 'col_type': 'bigint', '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', '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 = MSSQLMetadataExtractor() extractor.init(self.conf) actual = extractor.extract() expected = TableMetadata( 'mssql', 'MY_CLUSTER', 'test_schema', 'test_table', 'a table for testing', [ ColumnMetadata('col_id1', 'description of id1', 'bigint', 0), ColumnMetadata('col_id2', 'description of id2', 'bigint', 1), ColumnMetadata('is_active', None, 'boolean', 2), ColumnMetadata('source', 'description of source', 'varchar', 3), ColumnMetadata('etl_created_at', 'description of etl_created_at', 'timestamp', 4), ColumnMetadata('ds', None, 'varchar', 5) ], False, ['test_schema']) 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_name': 'test_schema1', 'name': 'test_table1', 'description': 'test table 1', 'cluster': self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.CLUSTER_KEY}'] } table1 = {'schema_name': 'test_schema1', 'name': 'test_table2', 'description': 'test table 2', 'cluster': self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.CLUSTER_KEY}'] } table2 = {'schema_name': 'test_schema2', 'name': 'test_table3', 'description': 'test table 3', 'cluster': self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.CLUSTER_KEY}'] } sql_execute.return_value = [ self._union( {'col_name': 'col_id1', 'col_type': 'bigint', 'col_description': 'description of col_id1', 'col_sort_order': 0}, table), self._union( {'col_name': 'col_id2', 'col_type': 'bigint', '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', '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 = MSSQLMetadataExtractor() extractor.init(self.conf) expected = TableMetadata( 'mssql', self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.CLUSTER_KEY}'], 'test_schema1', 'test_table1', 'test table 1', [ColumnMetadata('col_id1', 'description of col_id1', 'bigint', 0), ColumnMetadata('col_id2', 'description of col_id2', 'bigint', 1), ColumnMetadata('is_active', None, 'boolean', 2), ColumnMetadata('source', 'description of source', 'varchar', 3), ColumnMetadata('etl_created_at', 'description of etl_created_at', 'timestamp', 4), ColumnMetadata('ds', None, 'varchar', 5), ], False, ['test_schema1'] ) actual = extractor.extract().__repr__() self.assertEqual(expected.__repr__(), actual) expected = TableMetadata( 'mssql', self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.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)], False, ['test_schema1']) actual = extractor.extract().__repr__() self.assertEqual(expected.__repr__(), actual) expected = TableMetadata( 'mssql', self.conf[f'extractor.mssql_metadata.{MSSQLMetadataExtractor.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)], False, ['test_schema2']) actual = extractor.extract().__repr__() self.assertEqual(expected.__repr__(), actual) self.assertIsNone(extractor.extract()) self.assertIsNone(extractor.extract())