def test_rows_with_results(self): from gcloud_bigtable._testing import _MockCalled from gcloud_bigtable._testing import _Monkey from gcloud_bigtable.happybase import table as MUT from gcloud_bigtable.row_data import PartialRowData row_key1 = 'row-key1' row_key2 = 'row-key2' rows = [row_key1, row_key2] name = 'table-name' connection = None table = self._makeOne(name, connection) table._low_level_table = _MockLowLevelTable() row1 = PartialRowData(row_key1) # Return row1 but not row2 rr_result = _MockPartialRowsData(rows={row_key1: row1}) table._low_level_table.read_rows_result = rr_result self.assertEqual(rr_result.consume_all_calls, 0) fake_rows_filter = object() mock_row_keys_filter_helper = _MockCalled(fake_rows_filter) fake_filter = object() mock_filter_chain_helper = _MockCalled(fake_filter) fake_pair = object() mock_cells_to_pairs = _MockCalled([fake_pair]) col_fam = u'cf1' qual = b'qual' fake_cells = object() row1._cells = {col_fam: {qual: fake_cells}} include_timestamp = object() with _Monkey(MUT, _row_keys_filter_helper=mock_row_keys_filter_helper, _filter_chain_helper=mock_filter_chain_helper, _cells_to_pairs=mock_cells_to_pairs): result = table.rows(rows, include_timestamp=include_timestamp) # read_rows_result == PartialRowsData with row_key1 expected_result = {col_fam.encode('ascii') + b':' + qual: fake_pair} self.assertEqual(result, [(row_key1, expected_result)]) read_rows_args = () read_rows_kwargs = {'filter_': fake_filter} self.assertEqual(table._low_level_table.read_rows_calls, [ (read_rows_args, read_rows_kwargs), ]) self.assertEqual(rr_result.consume_all_calls, 1) mock_row_keys_filter_helper.check_called(self, [(rows,)]) expected_kwargs = { 'filters': [fake_rows_filter], 'versions': 1, 'timestamp': None, } mock_filter_chain_helper.check_called(self, [()], [expected_kwargs]) to_pairs_kwargs = {'include_timestamp': include_timestamp} mock_cells_to_pairs.check_called( self, [(fake_cells,)], [to_pairs_kwargs])
def test_cells_with_results(self): from gcloud_bigtable._testing import _MockCalled from gcloud_bigtable._testing import _Monkey from gcloud_bigtable.happybase import table as MUT from gcloud_bigtable.row_data import PartialRowData row_key = 'row-key' name = 'table-name' connection = None table = self._makeOne(name, connection) table._low_level_table = _MockLowLevelTable() partial_row = PartialRowData(row_key) table._low_level_table.read_row_result = partial_row # These are all passed to mocks. versions = object() timestamp = object() include_timestamp = object() fake_filter = object() mock_filter_chain_helper = _MockCalled(fake_filter) fake_result = object() mock_cells_to_pairs = _MockCalled(fake_result) col_fam = 'cf1' qual = 'qual' fake_cells = object() partial_row._cells = {col_fam: {qual: fake_cells}} column = col_fam + ':' + qual with _Monkey(MUT, _filter_chain_helper=mock_filter_chain_helper, _cells_to_pairs=mock_cells_to_pairs): result = table.cells(row_key, column, versions=versions, timestamp=timestamp, include_timestamp=include_timestamp) self.assertEqual(result, fake_result) read_row_args = (row_key,) read_row_kwargs = {'filter_': fake_filter} self.assertEqual(table._low_level_table.read_row_calls, [ (read_row_args, read_row_kwargs), ]) filter_kwargs = { 'column': column, 'versions': versions, 'timestamp': timestamp, } mock_filter_chain_helper.check_called(self, [()], [filter_kwargs]) to_pairs_kwargs = {'include_timestamp': include_timestamp} mock_cells_to_pairs.check_called( self, [(fake_cells,)], [to_pairs_kwargs])
def _read_row_helper(self, chunks): from gcloud_bigtable._generated import ( bigtable_service_messages_pb2 as messages_pb2) from gcloud_bigtable._grpc_mocks import StubMock from gcloud_bigtable._testing import _MockCalled from gcloud_bigtable._testing import _Monkey from gcloud_bigtable.row_data import PartialRowData from gcloud_bigtable import table as MUT client = _Client() cluster_name = ('projects/' + PROJECT_ID + '/zones/' + ZONE + '/clusters/' + CLUSTER_ID) cluster = _Cluster(cluster_name, client=client) table = self._makeOne(TABLE_ID, cluster) # Create request_pb request_pb = object() # Returned by our mock. mock_create_row_request = _MockCalled(request_pb) # Create response_iterator row_key = b'row-key' response_pb = messages_pb2.ReadRowsResponse(row_key=row_key, chunks=chunks) response_iterator = [response_pb] # Patch the stub used by the API method. client.data_stub = stub = StubMock(response_iterator) # Create expected_result. if chunks: expected_result = PartialRowData(row_key) expected_result._committed = True expected_result._chunks_encountered = True else: expected_result = None # Perform the method and check the result. filter_obj = object() timeout_seconds = 596 with _Monkey(MUT, _create_row_request=mock_create_row_request): result = table.read_row(row_key, filter_=filter_obj, timeout_seconds=timeout_seconds) self.assertEqual(result, expected_result) self.assertEqual(stub.method_calls, [( 'ReadRows', (request_pb, timeout_seconds), {}, )]) mock_create_row_request.check_called( self, [(table.name,)], [{'row_key': row_key, 'filter_': filter_obj}])
def test_row_with_results(self): from gcloud_bigtable._testing import _MockCalled from gcloud_bigtable._testing import _Monkey from gcloud_bigtable.happybase import table as MUT from gcloud_bigtable.row_data import PartialRowData row_key = 'row-key' name = 'table-name' connection = None table = self._makeOne(name, connection) table._low_level_table = _MockLowLevelTable() partial_row = PartialRowData(row_key) table._low_level_table.read_row_result = partial_row fake_filter = object() mock_filter_chain_helper = _MockCalled(fake_filter) fake_pair = object() mock_cells_to_pairs = _MockCalled([fake_pair]) col_fam = u'cf1' qual = b'qual' fake_cells = object() partial_row._cells = {col_fam: {qual: fake_cells}} include_timestamp = object() with _Monkey(MUT, _filter_chain_helper=mock_filter_chain_helper, _cells_to_pairs=mock_cells_to_pairs): result = table.row(row_key, include_timestamp=include_timestamp) # The results come from _cells_to_pairs. expected_result = {col_fam.encode('ascii') + b':' + qual: fake_pair} self.assertEqual(result, expected_result) read_row_args = (row_key,) read_row_kwargs = {'filter_': fake_filter} self.assertEqual(table._low_level_table.read_row_calls, [ (read_row_args, read_row_kwargs), ]) expected_kwargs = { 'filters': [], 'versions': 1, 'timestamp': None, } mock_filter_chain_helper.check_called(self, [()], [expected_kwargs]) to_pairs_kwargs = {'include_timestamp': include_timestamp} mock_cells_to_pairs.check_called( self, [(fake_cells,)], [to_pairs_kwargs])
def read_row(self, row_key, filter_=None, timeout_seconds=None): """Read a single row from this table. :type row_key: bytes :param row_key: The key of the row to read from. :type filter_: :class:`.row.RowFilter`, :class:`.row.RowFilterChain`, :class:`.row.RowFilterUnion` or :class:`.row.ConditionalRowFilter` :param filter_: (Optional) The filter to apply to the contents of the row. If unset, returns the entire row. :type timeout_seconds: int :param timeout_seconds: Number of seconds for request time-out. If not passed, defaults to value set on table. :rtype: :class:`.PartialRowData`, :data:`NoneType <types.NoneType>` :returns: The contents of the row if any chunks were returned in the response, otherwise :data:`None`. :raises: :class:`ValueError <exceptions.ValueError>` if a commit row chunk is never encountered. """ request_pb = _create_row_request(self.name, row_key=row_key, filter_=filter_) timeout_seconds = timeout_seconds or self.timeout_seconds response_iterator = self.client.data_stub.ReadRows(request_pb, timeout_seconds) # We expect an iterator of `data_messages_pb2.ReadRowsResponse` result = PartialRowData(row_key) for read_rows_response in response_iterator: result.update_from_read_rows(read_rows_response) # Make sure the result actually contains data. if not result._chunks_encountered: return None # Make sure the result was committed by the back-end. if not result.committed: raise ValueError('The row remains partial / is not committed.') return result
def test_read_rows(self): row = self._table.row(ROW_KEY) row_alt = self._table.row(ROW_KEY_ALT) self.rows_to_delete.extend([row, row_alt]) cell1, cell2, cell3, cell4 = self._write_to_row(row, row_alt, row, row_alt) row.commit() row_alt.commit() rows_data = self._table.read_rows() self.assertEqual(rows_data.rows, {}) rows_data.consume_all() # NOTE: We should refrain from editing protected data on instances. # Instead we should make the values public or provide factories # for constructing objects with them. row_data = PartialRowData(ROW_KEY) row_data._chunks_encountered = True row_data._committed = True row_data._cells = { COLUMN_FAMILY_ID1: { COL_NAME1: [cell1], COL_NAME2: [cell3], }, } row_alt_data = PartialRowData(ROW_KEY_ALT) row_alt_data._chunks_encountered = True row_alt_data._committed = True row_alt_data._cells = { COLUMN_FAMILY_ID1: { COL_NAME1: [cell2], }, COLUMN_FAMILY_ID2: { COL_NAME3: [cell4], }, } expected_rows = { ROW_KEY: row_data, ROW_KEY_ALT: row_alt_data, } self.assertEqual(rows_data.rows, expected_rows)