| # 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 copy |
| |
| from iceberg.api import (DataFile, |
| StructLike) |
| from iceberg.api.types import StructType |
| |
| from .avro.iceberg_to_avro import IcebergToAvro |
| from .partition_data import PartitionData |
| |
| |
| class GenericDataFile(DataFile, StructLike): |
| |
| EMPTY_STRUCT_TYPE = StructType.of([]) |
| EMPTY_PARTITION_DATA = PartitionData(EMPTY_STRUCT_TYPE) |
| |
| def __init__(self, file_path, format, file_size_in_bytes, block_size_in_bytes, |
| row_count=None, partition=None, metrics=None): |
| |
| self._file_path = file_path |
| self._format = format |
| self._row_count = row_count |
| self._file_size_in_bytes = file_size_in_bytes |
| self._block_size_in_bytes = block_size_in_bytes |
| self._file_ordinal = None |
| self._sort_columns = None |
| |
| if partition is None: |
| self._partition_data = GenericDataFile.EMPTY_PARTITION_DATA |
| self._partition_type = GenericDataFile.EMPTY_PARTITION_DATA.partition_type |
| else: |
| self._partition_data = partition |
| self._partition_type = partition.get_partition_type() |
| if metrics is None: |
| self._row_count = row_count |
| self._column_sizes = None |
| self._value_counts = None |
| self._null_value_counts = None |
| self._lower_bounds = None |
| self._upper_bounds = None |
| else: |
| self._row_count = metrics.row_count |
| self._column_sizes = metrics.column_sizes |
| self._value_counts = metrics.value_counts |
| self._null_value_counts = metrics.null_value_counts |
| self._lower_bounds = metrics.lower_bounds |
| self._upper_bounds = metrics.upper_bounds |
| |
| def partition(self): |
| return self._partition_data |
| |
| def path(self): |
| return self._file_path |
| |
| def format(self): |
| return self._format |
| |
| def record_count(self): |
| return self._row_count |
| |
| def file_size_in_bytes(self): |
| return self._file_size_in_bytes |
| |
| def block_size_in_bytes(self): |
| return self._block_size_in_bytes |
| |
| def file_ordinal(self): |
| return self._file_ordinal |
| |
| def sort_columns(self): |
| return self._sort_columns |
| |
| def column_sizes(self): |
| return self._column_sizes |
| |
| def value_counts(self): |
| return self._value_counts |
| |
| def null_value_counts(self): |
| return self._null_value_counts |
| |
| def lower_bounds(self): |
| return self._lower_bounds |
| |
| def upper_bounds(self): |
| return self._upper_bounds |
| |
| def copy(self): |
| return copy.deepcopy(self) |
| |
| @staticmethod |
| def get_avro_schema(partition_type): |
| return IcebergToAvro.type_to_schema(DataFile.get_type(partition_type), DataFile.__class__.__name__) |
| |
| def __repr__(self): |
| fields = ["file_path: {}".format(self._file_path), |
| "file_format: {}".format(self._format), |
| "partition: {}".format(self._partition_data), |
| "record_count: {}".format(self._row_count), |
| "file_size_in_bytes: {}".format(self._file_size_in_bytes), |
| "block_size_in_bytes: {}".format(self._block_size_in_bytes), |
| "column_sizes: {}".format(self._column_sizes), |
| "value_counts: {}".format(self._value_counts), |
| "null_value_counts: {}".format(self._null_value_counts), |
| "lower_bounds: {}".format(self._lower_bounds), |
| "upper_bounds: {}".format(self._upper_bounds), |
| ] |
| return "GenericDataFile({})".format("\n,".join(fields)) |
| |
| def __str__(self): |
| return self.__repr__() |
| |
| def __deepcopy__(self, memodict): |
| cls = self.__class__ |
| result = cls.__new__(cls) |
| memodict[id(self)] = result |
| |
| for k, v in self.__dict__.items(): |
| setattr(result, k, copy.deepcopy(v, memodict)) |
| |
| return result |