| # Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================== |
| """Tests for the SqlDataset serialization.""" |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import os |
| |
| from tensorflow.python.data.experimental.kernel_tests import sql_dataset_test_base |
| from tensorflow.python.data.experimental.kernel_tests.serialization import dataset_serialization_test_base |
| from tensorflow.python.data.experimental.ops import readers |
| from tensorflow.python.framework import dtypes |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.platform import test |
| |
| |
| class SqlDatasetSerializationTest( |
| sql_dataset_test_base.SqlDatasetTestBase, |
| dataset_serialization_test_base.DatasetSerializationTestBase): |
| |
| def _build_dataset(self, num_repeats): |
| data_source_name = os.path.join(test.get_temp_dir(), "tftest.sqlite") |
| driver_name = array_ops.placeholder_with_default( |
| array_ops.constant("sqlite", dtypes.string), shape=[]) |
| query = ("SELECT first_name, last_name, motto FROM students ORDER BY " |
| "first_name DESC") |
| output_types = (dtypes.string, dtypes.string, dtypes.string) |
| return readers.SqlDataset(driver_name, data_source_name, query, |
| output_types).repeat(num_repeats) |
| |
| def testSQLSaveable(self): |
| num_repeats = 4 |
| num_outputs = num_repeats * 2 |
| self.run_core_tests(lambda: self._build_dataset(num_repeats), num_outputs) |
| |
| |
| if __name__ == "__main__": |
| test.main() |