def read_row(self, row_key, filter_=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:`.RowFilter` :param filter_: (Optional) The filter to apply to the contents of the row. If unset, returns the entire row. :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_) client = self._cluster._client response_iterator = client._data_stub.ReadRows(request_pb, client.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)
def _read_row_helper(self, chunks): from gcloud._testing import _Monkey from gcloud.bigtable._generated import ( bigtable_service_messages_pb2 as messages_pb2) from gcloud.bigtable._testing import _FakeStub from gcloud.bigtable.row_data import PartialRowData from gcloud.bigtable import table as MUT project_id = 'project-id' zone = 'zone' cluster_id = 'cluster-id' table_id = 'table-id' timeout_seconds = 596 client = _Client(timeout_seconds=timeout_seconds) 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_created = [] def mock_create_row_request(table_name, row_key, filter_): mock_created.append((table_name, row_key, filter_)) return 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 = _FakeStub(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() with _Monkey(MUT, _create_row_request=mock_create_row_request): result = table.read_row(row_key, filter_=filter_obj) self.assertEqual(result, expected_result) self.assertEqual(stub.method_calls, [( 'ReadRows', (request_pb, timeout_seconds), {}, )]) self.assertEqual(mock_created, [(table.name, row_key, filter_obj)])
def test_consume_next(self): from gcloud.bigtable._generated import ( bigtable_service_messages_pb2 as messages_pb2) from gcloud.bigtable.row_data import PartialRowData row_key = b'row-key' value_pb = messages_pb2.ReadRowsResponse(row_key=row_key) response_iterator = _MockCancellableIterator(value_pb) partial_rows_data = self._makeOne(response_iterator) self.assertEqual(partial_rows_data.rows, {}) partial_rows_data.consume_next() expected_rows = {row_key: PartialRowData(row_key)} self.assertEqual(partial_rows_data.rows, expected_rows)
def test_consume_next_row_exists(self): from gcloud.bigtable._generated import ( bigtable_service_messages_pb2 as messages_pb2) from gcloud.bigtable.row_data import PartialRowData row_key = b'row-key' chunk = messages_pb2.ReadRowsResponse.Chunk(commit_row=True) value_pb = messages_pb2.ReadRowsResponse(row_key=row_key, chunks=[chunk]) response_iterator = _MockCancellableIterator(value_pb) partial_rows_data = self._makeOne(response_iterator) existing_values = PartialRowData(row_key) partial_rows_data._rows[row_key] = existing_values self.assertFalse(existing_values.committed) partial_rows_data.consume_next() self.assertTrue(existing_values.committed) self.assertEqual(existing_values.cells, {})
def test_read_row_complete(self): from gcloud.bigtable.row_data import Cell from gcloud.bigtable.row_data import PartialRowData chunk = _ReadRowsResponseCellChunkPB( row_key=self.ROW_KEY, family_name=self.FAMILY_NAME, qualifier=self.QUALIFIER, timestamp_micros=self.TIMESTAMP_MICROS, value=self.VALUE, commit_row=True, ) chunks = [chunk] expected_result = PartialRowData(row_key=self.ROW_KEY) family = expected_result._cells.setdefault(self.FAMILY_NAME, {}) column = family.setdefault(self.QUALIFIER, []) column.append(Cell.from_pb(chunk)) self._read_row_helper(chunks, expected_result)