paimon-python/pypaimon/tests/write/table_write_test.py

"""
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 shutil

import tempfile
import unittest

from pypaimon import CatalogFactory, Schema
import pyarrow as pa


class TableWriteTest(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls.tempdir = tempfile.mkdtemp()
        cls.warehouse = os.path.join(cls.tempdir, 'warehouse')
        cls.catalog = CatalogFactory.create({
            'warehouse': cls.warehouse
        })
        cls.catalog.create_database('default', True)

        cls.pa_schema = pa.schema([
            ('user_id', pa.int32()),
            ('item_id', pa.int64()),
            ('behavior', pa.string()),
            ('dt', pa.string())
        ])
        cls.expected = pa.Table.from_pydict({
            'user_id': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
            'item_id': [1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010],
            'behavior': ['a', 'b', 'c', None, 'e', 'f', 'g', 'h', 'i', 'j'],
            'dt': ['p1', 'p1', 'p2', 'p1', 'p2', 'p1', 'p2', 'p2', 'p2', 'p1']
        }, schema=cls.pa_schema)

    @classmethod
    def tearDownClass(cls):
        shutil.rmtree(cls.tempdir, ignore_errors=True)

    def test_multi_prepare_commit_ao(self):
        schema = Schema.from_pyarrow_schema(self.pa_schema, partition_keys=['dt'])
        self.catalog.create_table('default.test_append_only_parquet', schema, False)
        table = self.catalog.get_table('default.test_append_only_parquet')
        write_builder = table.new_stream_write_builder()

        table_write = write_builder.new_write()
        table_commit = write_builder.new_commit()
        # write 1
        data1 = {
            'user_id': [1, 2, 3, 4],
            'item_id': [1001, 1002, 1003, 1004],
            'behavior': ['a', 'b', 'c', None],
            'dt': ['p1', 'p1', 'p2', 'p1'],
        }
        pa_table = pa.Table.from_pydict(data1, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        table_write.prepare_commit(0)
        # write 2
        data2 = {
            'user_id': [5, 6, 7, 8],
            'item_id': [1005, 1006, 1007, 1008],
            'behavior': ['e', 'f', 'g', 'h'],
            'dt': ['p2', 'p1', 'p2', 'p2'],
        }
        pa_table = pa.Table.from_pydict(data2, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        table_write.prepare_commit(1)
        # write 3
        data3 = {
            'user_id': [9, 10],
            'item_id': [1009, 1010],
            'behavior': ['i', 'j'],
            'dt': ['p2', 'p1'],
        }
        pa_table = pa.Table.from_pydict(data3, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        cm = table_write.prepare_commit(2)
        # commit
        table_commit.commit(cm, 2)
        table_write.close()
        table_commit.close()
        self.assertEqual(2, table_write.file_store_write.commit_identifier)

        read_builder = table.new_read_builder()
        table_read = read_builder.new_read()
        splits = read_builder.new_scan().plan().splits()
        actual = table_read.to_arrow(splits).sort_by('user_id')
        self.assertEqual(self.expected, actual)

    def test_multi_prepare_commit_pk(self):
        schema = Schema.from_pyarrow_schema(self.pa_schema, partition_keys=['dt'], primary_keys=['user_id', 'dt'],
                                            options={'bucket': '2'})
        self.catalog.create_table('default.test_primary_key_parquet', schema, False)
        table = self.catalog.get_table('default.test_primary_key_parquet')
        write_builder = table.new_stream_write_builder()

        table_write = write_builder.new_write()
        table_commit = write_builder.new_commit()
        # write 1
        data1 = {
            'user_id': [1, 2, 3, 4],
            'item_id': [1001, 1002, 1003, 1004],
            'behavior': ['a', 'b', 'c', None],
            'dt': ['p1', 'p1', 'p2', 'p1'],
        }
        pa_table = pa.Table.from_pydict(data1, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        table_write.prepare_commit(0)
        # write 2
        data2 = {
            'user_id': [5, 6, 7, 8],
            'item_id': [1005, 1006, 1007, 1008],
            'behavior': ['e', 'f', 'g', 'h'],
            'dt': ['p2', 'p1', 'p2', 'p2'],
        }
        pa_table = pa.Table.from_pydict(data2, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        table_write.prepare_commit(1)
        # write 3
        data3 = {
            'user_id': [9, 10],
            'item_id': [1009, 1010],
            'behavior': ['i', 'j'],
            'dt': ['p2', 'p1'],
        }
        pa_table = pa.Table.from_pydict(data3, schema=self.pa_schema)
        table_write.write_arrow(pa_table)
        cm = table_write.prepare_commit(2)
        # commit
        table_commit.commit(cm, 2)
        table_write.close()
        table_commit.close()
        self.assertEqual(2, table_write.file_store_write.commit_identifier)

        read_builder = table.new_read_builder()
        table_read = read_builder.new_read()
        splits = read_builder.new_scan().plan().splits()
        actual = table_read.to_arrow(splits).sort_by('user_id')
        self.assertEqual(self.expected, actual)