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# 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),
)
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