blob: 4508a2063c5e61c271cc2ef11afd244d4723207e [file]
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import os
import shutil
import tempfile
import unittest
import pyarrow as pa
from pypaimon import CatalogFactory
from pypaimon import Schema
from pypaimon.common.predicate_builder import PredicateBuilder
from pypaimon.read import push_down_utils
from pypaimon.read.split import Split
from pypaimon.schema.data_types import AtomicType, DataField
class ReaderPredicateTest(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', False)
cls.pa_schema = pa.schema([
('a', pa.int64()),
('pt', pa.int64())
])
schema = Schema.from_pyarrow_schema(cls.pa_schema, partition_keys=['pt'])
cls.catalog.create_table('default.test_reader_predicate', schema, False)
cls.table = cls.catalog.get_table('default.test_reader_predicate')
data1 = pa.Table.from_pydict({
'a': [1, 2],
'pt': [1001, 1002]}, schema=cls.pa_schema)
write_builder = cls.table.new_batch_write_builder()
table_write = write_builder.new_write()
table_commit = write_builder.new_commit()
table_write.write_arrow(data1)
table_commit.commit(table_write.prepare_commit())
table_write.close()
table_commit.close()
data2 = pa.Table.from_pydict({
'a': [3, 4],
'pt': [1003, 1004]}, schema=cls.pa_schema)
write_builder = cls.table.new_batch_write_builder()
table_write = write_builder.new_write()
table_commit = write_builder.new_commit()
table_write.write_arrow(data2)
table_commit.commit(table_write.prepare_commit())
table_write.close()
table_commit.close()
@classmethod
def tearDownClass(cls):
shutil.rmtree(cls.tempdir, ignore_errors=True)
def test_partition_predicate(self):
predicate_builder = self.table.new_read_builder().new_predicate_builder()
predicate = predicate_builder.equal('pt', 1003)
read_builder = self.table.new_read_builder()
read_builder.with_filter(predicate)
splits: list[Split] = read_builder.new_scan().plan().splits()
self.assertEqual(len(splits), 1)
self.assertEqual(splits[0].partition.to_dict().get("pt"), 1003)
def test_trim_predicate(self):
predicate_builder = self.table.new_read_builder().new_predicate_builder()
p1 = predicate_builder.between('pt', 1002, 1003)
p2 = predicate_builder.and_predicates([predicate_builder.equal('pt', 1003), predicate_builder.equal('a', 3)])
predicate = predicate_builder.and_predicates([p1, p2])
pred = push_down_utils.trim_predicate_by_fields(predicate, self.table.partition_keys)
self.assertEqual(len(pred.literals), 2)
self.assertEqual(pred.literals[0].field, 'pt')
self.assertEqual(pred.literals[1].field, 'pt')
def test_remove_row_id_filter(self):
fields = [
DataField(0, '_ROW_ID', AtomicType('BIGINT')),
DataField(1, 'f0', AtomicType('INT')),
]
pb = PredicateBuilder(fields)
and_pred = pb.and_predicates([pb.equal('_ROW_ID', 1), pb.greater_than('f0', 5)])
result = push_down_utils.remove_row_id_filter(and_pred)
self.assertIsNotNone(result)
self.assertEqual(result.field, 'f0')
self.assertEqual(result.method, 'greaterThan')
or_mixed = pb.or_predicates([pb.equal('_ROW_ID', 1), pb.greater_than('f0', 5)])
result = push_down_utils.remove_row_id_filter(or_mixed)
self.assertIsNotNone(result, "OR: strip _ROW_ID child, keep f0>5 (same as Java)")
self.assertEqual(result.field, 'f0')
self.assertEqual(result.method, 'greaterThan')
or_no_row_id = pb.or_predicates([pb.greater_than('f0', 5), pb.less_than('f0', 10)])
result = push_down_utils.remove_row_id_filter(or_no_row_id)
self.assertIsNotNone(result)
self.assertEqual(result.method, 'or')
self.assertEqual(len(result.literals), 2)