# 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. from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionField, PartitionSpec from pyiceberg.schema import Schema from pyiceberg.transforms import BucketTransform, TruncateTransform from pyiceberg.types import ( IntegerType, NestedField, StringType, StructType, ) def test_partition_field_init() -> None: bucket_transform = BucketTransform(100) # type: ignore partition_field = PartitionField(3, 1000, bucket_transform, "id") assert partition_field.source_id == 3 assert partition_field.field_id == 1000 assert partition_field.transform == bucket_transform assert partition_field.name == "id" assert partition_field == partition_field assert str(partition_field) == "1000: id: bucket[100](3)" assert ( repr(partition_field) == "PartitionField(source_id=3, field_id=1000, transform=BucketTransform(num_buckets=100), name='id')" ) def test_unpartitioned_partition_spec_repr() -> None: assert repr(PartitionSpec()) == "PartitionSpec(spec_id=0)" def test_partition_spec_init() -> None: bucket_transform: BucketTransform = BucketTransform(4) # type: ignore id_field1 = PartitionField(3, 1001, bucket_transform, "id") partition_spec1 = PartitionSpec(id_field1) assert partition_spec1.spec_id == 0 assert partition_spec1 == partition_spec1 assert partition_spec1 != id_field1 assert str(partition_spec1) == f"[\n {str(id_field1)}\n]" assert not partition_spec1.is_unpartitioned() # only differ by PartitionField field_id id_field2 = PartitionField(3, 1002, bucket_transform, "id") partition_spec2 = PartitionSpec(id_field2) assert partition_spec1 != partition_spec2 assert partition_spec1.compatible_with(partition_spec2) assert partition_spec1.fields_by_source_id(3) == [id_field1] # Does not exist assert partition_spec1.fields_by_source_id(1925) == [] def test_partition_compatible_with() -> None: bucket_transform: BucketTransform = BucketTransform(4) # type: ignore field1 = PartitionField(3, 100, bucket_transform, "id") field2 = PartitionField(3, 102, bucket_transform, "id") lhs = PartitionSpec( field1, ) rhs = PartitionSpec(field1, field2) assert not lhs.compatible_with(rhs) def test_unpartitioned() -> None: assert len(UNPARTITIONED_PARTITION_SPEC.fields) == 0 assert UNPARTITIONED_PARTITION_SPEC.is_unpartitioned() assert str(UNPARTITIONED_PARTITION_SPEC) == "[]" def test_serialize_unpartitioned_spec() -> None: assert UNPARTITIONED_PARTITION_SPEC.model_dump_json() == """{"spec-id":0,"fields":[]}""" def test_serialize_partition_spec() -> None: partitioned = PartitionSpec( PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate"), PartitionField(source_id=2, field_id=1001, transform=BucketTransform(num_buckets=25), name="int_bucket"), spec_id=3, ) assert ( partitioned.model_dump_json() == """{"spec-id":3,"fields":[{"source-id":1,"field-id":1000,"transform":"truncate[19]","name":"str_truncate"},{"source-id":2,"field-id":1001,"transform":"bucket[25]","name":"int_bucket"}]}""" ) def test_deserialize_unpartition_spec() -> None: json_partition_spec = """{"spec-id":0,"fields":[]}""" spec = PartitionSpec.model_validate_json(json_partition_spec) assert spec == PartitionSpec(spec_id=0) def test_deserialize_partition_spec() -> None: json_partition_spec = """{"spec-id": 3, "fields": [{"source-id": 1, "field-id": 1000, "transform": "truncate[19]", "name": "str_truncate"}, {"source-id": 2, "field-id": 1001, "transform": "bucket[25]", "name": "int_bucket"}]}""" spec = PartitionSpec.model_validate_json(json_partition_spec) assert spec == PartitionSpec( PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate"), PartitionField(source_id=2, field_id=1001, transform=BucketTransform(num_buckets=25), name="int_bucket"), spec_id=3, ) def test_partition_type(table_schema_simple: Schema) -> None: spec = PartitionSpec( PartitionField(source_id=1, field_id=1000, transform=TruncateTransform(width=19), name="str_truncate"), PartitionField(source_id=2, field_id=1001, transform=BucketTransform(num_buckets=25), name="int_bucket"), spec_id=3, ) assert spec.partition_type(table_schema_simple) == StructType( NestedField(field_id=1000, name="str_truncate", field_type=StringType(), required=False), NestedField(field_id=1001, name="int_bucket", field_type=IntegerType(), required=True), )