| ################################################################################ |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| ################################################################################ |
| |
| import os |
| import pyarrow as pa |
| |
| from pypaimon.api import Schema |
| from pypaimon.py4j.tests import PypaimonTestBase |
| |
| |
| class ObjectInfoTest(PypaimonTestBase): |
| |
| @classmethod |
| def setUpClass(cls): |
| super().setUpClass() |
| cls.simple_pa_schema = pa.schema([ |
| ('f0', pa.int32()), |
| ('f1', pa.string()) |
| ]) |
| |
| def test_read_type_metadata(self): |
| schema = Schema(self.simple_pa_schema) |
| self.catalog.create_table('default.test_read_type_metadata', schema, False) |
| table = self.catalog.get_table('default.test_read_type_metadata') |
| |
| read_builder = table.new_read_builder() |
| read_builder.with_projection(['f1']) |
| pa_schema = read_builder.read_type().as_arrow() |
| |
| self.assertEqual(len(pa_schema.names), 1) |
| self.assertEqual(pa_schema.names[0], 'f1') |
| |
| def test_split_metadata(self): |
| schema = Schema(self.simple_pa_schema) |
| self.catalog.create_table('default.test_split_metadata', schema, False) |
| table = self.catalog.get_table('default.test_split_metadata') |
| |
| write_builder = table.new_batch_write_builder() |
| table_write = write_builder.new_write() |
| table_commit = write_builder.new_commit() |
| data = { |
| 'f0': [1, 2, 3, 4, 5], |
| 'f1': ['a', 'b', 'c', 'd', 'e'], |
| } |
| pa_table = pa.Table.from_pydict(data, schema=self.simple_pa_schema) |
| table_write.write_arrow(pa_table) |
| table_commit.commit(table_write.prepare_commit()) |
| table_write.close() |
| table_commit.close() |
| read_builder = table.new_read_builder() |
| table_scan = read_builder.new_scan() |
| splits = table_scan.plan().splits() |
| |
| self.assertEqual(len(splits), 1) |
| self.assertEqual(len(splits[0].file_paths()), 1) |
| self.assertEqual(splits[0].row_count(), 5) |
| self.assertTrue(splits[0].file_paths()[0].endswith('.parquet')) |
| self.assertEqual(splits[0].file_size(), os.path.getsize(splits[0].file_paths()[0])) |