Python: Add bucket transform

python/setup.cfg

@@ -42,6 +42,8 @@ package_dir =
     = src
 packages = find:
 python_requires = >=3.7
+install_requires =
+    mmh3
 [options.extras_require]
 arrow =
     pyarrow

python/src/iceberg/transforms.py

@@ -0,0 +1,234 @@
+# 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 math
+import struct
+from decimal import Decimal
+from typing import Optional
+from uuid import UUID
+
+import mmh3  # type: ignore
+
+from iceberg.types import (
+    BinaryType,
+    DateType,
+    DecimalType,
+    FixedType,
+    IcebergType,
+    IntegerType,
+    LongType,
+    StringType,
+    TimestampType,
+    TimestamptzType,
+    TimeType,
+    UUIDType,
+)
+
+
+class Transform:
+    """Transform base class for concrete transforms.
+
+    A base class to transform values and project predicates on partition values.
+    This class is not used directly. Instead, use one of module method to create the child classes.
+
+    Args:
+        transform_string (str): name of the transform type
+        repr_string (str): string representation of a transform instance
+    """
+
+    def __init__(self, transform_string: str, repr_string: str):
+        self._transform_string = transform_string
+        self._repr_string = repr_string
+
+    def __repr__(self):
+        return self._repr_string
+
+    def __str__(self):
+        return self._transform_string
+
+    def __call__(self, value):
+        return self.apply(value)
+
+    def apply(self, value):
+        raise NotImplementedError()
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return False
+
+    def result_type(self, source: IcebergType) -> IcebergType:
+        raise NotImplementedError()
+
+    def preserves_order(self) -> bool:
+        return False
+
+    def satisfies_order_of(self, other) -> bool:
+        return self == other
+
+    def to_human_string(self, value) -> str:
+        if value is None:
+            return "null"
+        return str(value)
+
+    def dedup_name(self) -> str:
+        return self._transform_string
+
+
+class BaseBucketTransform(Transform):
+    """Base Transform class to transform a value into a bucket partition value
+
+    Transforms are parameterized by a number of buckets. Bucket partition transforms use a 32-bit
+    hash of the source value to produce a positive value by mod the bucket number.
+
+    Args:
+      source_type (Type): An Iceberg Type of IntegerType, LongType, DecimalType, DateType, TimeType,
+      TimestampType, TimestamptzType, StringType, BinaryType, FixedType, UUIDType.
+      num_buckets (int): The number of buckets.
+    """
+
+    def __init__(self, source_type: IcebergType, num_buckets: int):
+        super().__init__(
+            f"bucket[{num_buckets}]",
+            f"transforms.bucket(source_type={repr(source_type)}, num_buckets={num_buckets})",
+        )
+        self._num_buckets = num_buckets
+
+    @property
+    def num_buckets(self) -> int:
+        return self._num_buckets
+
+    def hash(self, value) -> int:
+        raise NotImplementedError()
+
+    def apply(self, value) -> Optional[int]:
+        if value is None:
+            return None
+
+        return (self.hash(value) & IntegerType.max) % self._num_buckets
+
+    def can_transform(self, source: IcebergType) -> bool:
+        raise NotImplementedError()
+
+    def result_type(self, source: IcebergType) -> IcebergType:
+        return IntegerType()
+
+
+class BucketNumberTransform(BaseBucketTransform):
+    """Transforms a value of IntegerType, LongType, DateType, TimeType, TimestampType, or TimestamptzType
+    into a bucket partition value
+
+    Example:
+        >>> transform = BucketNumberTransform(100)
+        >>> transform.apply(81068000000)
+        59
+    """
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return type(source) in {IntegerType, DateType, LongType, TimeType, TimestampType, TimestamptzType}
+
+    def hash(self, value) -> int:
+        return mmh3.hash(struct.pack("<q", value))
+
+
+class BucketDecimalTransform(BaseBucketTransform):
+    """Transforms a value of DecimalType into a bucket partition value.
+
+    Example:
+        >>> transform = BucketDecimalTransform(100)
+        >>> transform.apply(Decimal("14.20"))
+        59
+    """
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return isinstance(source, DecimalType)
+
+    def hash(self, value: Decimal) -> int:
+        value_tuple = value.as_tuple()
+        unscaled_value = int(("-" if value_tuple.sign else "") + "".join([str(d) for d in value_tuple.digits]))
+        number_of_bytes = int(math.ceil(unscaled_value.bit_length() / 8))
+        value_in_bytes = unscaled_value.to_bytes(length=number_of_bytes, byteorder="big")
+        return mmh3.hash(value_in_bytes)
+
+
+class BucketStringTransform(BaseBucketTransform):
+    """Transforms a value of StringType into a bucket partition value.
+
+    Example:
+        >>> transform = BucketStringTransform(100)
+        >>> transform.apply("iceberg")
+        89
+    """
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return isinstance(source, StringType)
+
+    def hash(self, value: str) -> int:
+        return mmh3.hash(value)
+
+
+class BucketBytesTransform(BaseBucketTransform):
+    """Transforms a value of BinaryType into a bucket partition value.
+
+    Example:
+        >>> transform = BucketBytesTransform(100)
+        >>> transform.apply(b"\x00\x01\x02\x03")
+        41
+    """
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return type(source) in {FixedType, BinaryType}
+
+    def hash(self, value: bytes) -> int:
+        return mmh3.hash(value)
+
+
+class BucketUUIDTransform(BaseBucketTransform):
+    """Transforms a value of UUIDType into a bucket partition value.
+
+    Example:
+        >>> transform = BucketUUIDTransform(100)
+        >>> transform.apply(UUID("f79c3e09-677c-4bbd-a479-3f349cb785e7"))
+        40
+    """
+
+    def can_transform(self, source: IcebergType) -> bool:
+        return isinstance(source, UUIDType)
+
+    def hash(self, value: UUID) -> int:
+        return mmh3.hash(
+            struct.pack(
+                ">QQ",
+                (value.int >> 64) & 0xFFFFFFFFFFFFFFFF,
+                value.int & 0xFFFFFFFFFFFFFFFF,
+            )
+        )
+
+
+def bucket(source_type: IcebergType, num_buckets: int) -> BaseBucketTransform:
+    if type(source_type) in {IntegerType, LongType, DateType, TimeType, TimestampType, TimestamptzType}:
+        return BucketNumberTransform(source_type, num_buckets)
+    elif isinstance(source_type, DecimalType):
+        return BucketDecimalTransform(source_type, num_buckets)
+    elif isinstance(source_type, StringType):
+        return BucketStringTransform(source_type, num_buckets)
+    elif isinstance(source_type, BinaryType):
+        return BucketBytesTransform(source_type, num_buckets)
+    elif isinstance(source_type, FixedType):
+        return BucketBytesTransform(source_type, num_buckets)
+    elif isinstance(source_type, UUIDType):
+        return BucketUUIDTransform(source_type, num_buckets)
+    else:
+        raise ValueError(f"Cannot bucket by type: {source_type}")

python/tests/test_transforms.py

@@ -0,0 +1,133 @@
+# 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 datetime import datetime
+from decimal import Decimal, getcontext
+from uuid import UUID
+
+import pytest
+
+from iceberg import transforms
+from iceberg.types import (
+    BinaryType,
+    DateType,
+    DecimalType,
+    FixedType,
+    IntegerType,
+    LongType,
+    StringType,
+    TimestampType,
+    TimestamptzType,
+    TimeType,
+    UUIDType,
+)
+
+
+@pytest.mark.parametrize(
+    "test_input,test_type,expected",
+    [
+        (1, IntegerType(), 1392991556),
+        (34, IntegerType(), 2017239379),
+        (34, LongType(), 2017239379),
+        (17486, DateType(), -653330422),
+        (81068000000, TimeType(), -662762989),
+        (
+            int(datetime.fromisoformat("2017-11-16T22:31:08+00:00").timestamp() * 1000000),
+            TimestampType(),
+            -2047944441,
+        ),
+        (
+            int(datetime.fromisoformat("2017-11-16T14:31:08-08:00").timestamp() * 1000000),
+            TimestamptzType(),
+            -2047944441,
+        ),
+        (b"\x00\x01\x02\x03", BinaryType(), -188683207),
+        (b"\x00\x01\x02\x03", FixedType(4), -188683207),
+        ("iceberg", StringType(), 1210000089),
+        (UUID("f79c3e09-677c-4bbd-a479-3f349cb785e7"), UUIDType(), 1488055340),
+    ],
+)
+def test_bucket_hash_values(test_input, test_type, expected):
+    assert transforms.bucket(test_type, 8).hash(test_input) == expected
+
+
+@pytest.mark.parametrize(
+    "test_input,test_type,scale_factor,expected_hash,expected",
+    [
+        (Decimal("14.20"), DecimalType(9, 2), Decimal(10) ** -2, -500754589, 59),
+        (
+            Decimal("137302769811943318102518958871258.37580"),
+            DecimalType(38, 5),
+            Decimal(10) ** -5,
+            -32334285,
+            63,
+        ),
+    ],
+)
+def test_decimal_bucket(test_input, test_type, scale_factor, expected_hash, expected):
+    getcontext().prec = 38
+    assert transforms.bucket(test_type, 100).hash(test_input.quantize(scale_factor)) == expected_hash
+    assert transforms.bucket(test_type, 100).apply(test_input.quantize(scale_factor)) == expected
+
+
+@pytest.mark.parametrize(
+    "bucket,value,expected",
+    [
+        (transforms.bucket(IntegerType(), 100), 34, 79),
+        (transforms.bucket(LongType(), 100), 34, 79),
+        (transforms.bucket(DateType(), 100), 17486, 26),
+        (transforms.bucket(TimeType(), 100), 81068000000, 59),
+        (transforms.bucket(TimestampType(), 100), 1510871468000000, 7),
+        (transforms.bucket(DecimalType(9, 2), 100), Decimal("14.20"), 59),
+        (transforms.bucket(StringType(), 100), "iceberg", 89),
+        (
+            transforms.bucket(UUIDType(), 100),
+            UUID("f79c3e09-677c-4bbd-a479-3f349cb785e7"),
+            40,
+        ),
+        (transforms.bucket(FixedType(3), 128), b"foo", 32),
+        (transforms.bucket(BinaryType(), 128), b"\x00\x01\x02\x03", 57),
+    ],
+)
+def test_buckets(bucket, value, expected):
+    assert bucket.apply(value) == expected
+
+
+@pytest.mark.parametrize(
+    "type_var",
+    [
+        BinaryType(),
+        DateType(),
+        DecimalType(8, 5),
+        FixedType(8),
+        IntegerType(),
+        LongType(),
+        StringType(),
+        TimestampType(),
+        TimestamptzType(),
+        TimeType(),
+        UUIDType(),
+    ],
+)
+def test_bucket_method(type_var):
+    bucket_transform = transforms.bucket(type_var, 8)
+    assert str(bucket_transform) == str(eval(repr(bucket_transform)))
+    assert bucket_transform.can_transform(type_var)
+    assert bucket_transform.result_type(type_var) == IntegerType()
+    assert bucket_transform.num_buckets == 8
+    assert bucket_transform.apply(None) is None
+    assert bucket_transform.to_human_string("test") == "test"