Hugging Face's logo

Datasets:
SYSUSELab
/
RustRepoTrans

Dataset card Files
xet
 Community
RustRepoTrans / Evaluate /projects /iceberg /python /tests /avro /test_reader.py
ooggss
initial
f0f4f2b
Raw History Blame Contribute Delete
15.6 kB
# 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.
# pylint:disable=protected-access
import json
from typing import Callable
import pytest
from pyiceberg.avro.decoder import BinaryDecoder, StreamingBinaryDecoder
from pyiceberg.avro.decoder_fast import CythonBinaryDecoder
from pyiceberg.avro.file import AvroFile
from pyiceberg.avro.reader import (
BinaryReader,
BooleanReader,
DateReader,
DecimalReader,
DoubleReader,
FixedReader,
FloatReader,
IntegerReader,
StringReader,
StructReader,
TimeReader,
TimestampReader,
TimestamptzReader,
UUIDReader,
)
from pyiceberg.avro.resolver import construct_reader
from pyiceberg.io.pyarrow import PyArrowFileIO
from pyiceberg.manifest import MANIFEST_ENTRY_SCHEMAS, DataFile, ManifestEntry
from pyiceberg.schema import Schema
from pyiceberg.typedef import Record
from pyiceberg.types import (
BinaryType,
BooleanType,
DateType,
DecimalType,
DoubleType,
FixedType,
FloatType,
IntegerType,
LongType,
NestedField,
PrimitiveType,
StringType,
StructType,
TimestampType,
TimestamptzType,
TimeType,
UUIDType,
)
AVAILABLE_DECODERS = [StreamingBinaryDecoder, CythonBinaryDecoder]
def test_read_header(generated_manifest_entry_file: str, iceberg_manifest_entry_schema: Schema) -> None:
with AvroFile[ManifestEntry](
PyArrowFileIO().new_input(generated_manifest_entry_file),
MANIFEST_ENTRY_SCHEMAS[2],
{-1: ManifestEntry, 2: DataFile},
) as reader:
header = reader.header
assert header.magic == b"Obj\x01"
assert json.loads(header.meta["avro.schema"]) == {
"type": "record",
"name": "manifest_entry",
"fields": [
{"field-id": 0, "name": "status", "type": "int"},
{"field-id": 1, "default": None, "name": "snapshot_id", "type": ["null", "long"]},
{
"field-id": 2,
"name": "data_file",
"type": {
"type": "record",
"name": "r2",
"fields": [
{"field-id": 100, "doc": "Location URI with FS scheme", "name": "file_path", "type": "string"},
{
"field-id": 101,
"doc": "File format name: avro, orc, or parquet",
"name": "file_format",
"type": "string",
},
{
"field-id": 102,
"name": "partition",
"type": {
"type": "record",
"name": "r102",
"fields": [
{"field-id": 1000, "default": None, "name": "VendorID", "type": ["null", "int"]},
{
"field-id": 1001,
"default": None,
"name": "tpep_pickup_datetime",
"type": ["null", {"type": "int", "logicalType": "date"}],
},
],
},
},
{"field-id": 103, "doc": "Number of records in the file", "name": "record_count", "type": "long"},
{"field-id": 104, "doc": "Total file size in bytes", "name": "file_size_in_bytes", "type": "long"},
{"field-id": 105, "name": "block_size_in_bytes", "type": "long"},
{
"field-id": 108,
"doc": "Map of column id to total size on disk",
"default": None,
"name": "column_sizes",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k117_v118",
"fields": [
{"field-id": 117, "name": "key", "type": "int"},
{"field-id": 118, "name": "value", "type": "long"},
],
},
},
],
},
{
"field-id": 109,
"doc": "Map of column id to total count, including null and NaN",
"default": None,
"name": "value_counts",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k119_v120",
"fields": [
{"field-id": 119, "name": "key", "type": "int"},
{"field-id": 120, "name": "value", "type": "long"},
],
},
},
],
},
{
"field-id": 110,
"doc": "Map of column id to null value count",
"default": None,
"name": "null_value_counts",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k121_v122",
"fields": [
{"field-id": 121, "name": "key", "type": "int"},
{"field-id": 122, "name": "value", "type": "long"},
],
},
},
],
},
{
"field-id": 137,
"doc": "Map of column id to number of NaN values in the column",
"default": None,
"name": "nan_value_counts",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k138_v139",
"fields": [
{"field-id": 138, "name": "key", "type": "int"},
{"field-id": 139, "name": "value", "type": "long"},
],
},
},
],
},
{
"field-id": 125,
"doc": "Map of column id to lower bound",
"default": None,
"name": "lower_bounds",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k126_v127",
"fields": [
{"field-id": 126, "name": "key", "type": "int"},
{"field-id": 127, "name": "value", "type": "bytes"},
],
},
},
],
},
{
"field-id": 128,
"doc": "Map of column id to upper bound",
"default": None,
"name": "upper_bounds",
"type": [
"null",
{
"logicalType": "map",
"type": "array",
"items": {
"type": "record",
"name": "k129_v130",
"fields": [
{"field-id": 129, "name": "key", "type": "int"},
{"field-id": 130, "name": "value", "type": "bytes"},
],
},
},
],
},
{
"field-id": 131,
"doc": "Encryption key metadata blob",
"default": None,
"name": "key_metadata",
"type": ["null", "bytes"],
},
{
"field-id": 132,
"doc": "Splittable offsets",
"default": None,
"name": "split_offsets",
"type": ["null", {"element-id": 133, "type": "array", "items": "long"}],
},
{
"field-id": 140,
"doc": "Sort order ID",
"default": None,
"name": "sort_order_id",
"type": ["null", "int"],
},
],
},
},
],
}
assert header.get_schema() == iceberg_manifest_entry_schema
def test_fixed_reader() -> None:
assert construct_reader(FixedType(22)) == FixedReader(22)
def test_decimal_reader() -> None:
assert construct_reader(DecimalType(19, 25)) == DecimalReader(19, 25)
def test_boolean_reader() -> None:
assert construct_reader(BooleanType()) == BooleanReader()
def test_integer_reader() -> None:
assert construct_reader(IntegerType()) == IntegerReader()
def test_long_reader() -> None:
assert construct_reader(LongType()) == IntegerReader()
def test_float_reader() -> None:
assert construct_reader(FloatType()) == FloatReader()
def test_double_reader() -> None:
assert construct_reader(DoubleType()) == DoubleReader()
def test_date_reader() -> None:
assert construct_reader(DateType()) == DateReader()
def test_time_reader() -> None:
assert construct_reader(TimeType()) == TimeReader()
def test_timestamp_reader() -> None:
assert construct_reader(TimestampType()) == TimestampReader()
def test_timestamptz_reader() -> None:
assert construct_reader(TimestamptzType()) == TimestamptzReader()
def test_string_reader() -> None:
assert construct_reader(StringType()) == StringReader()
def test_binary_reader() -> None:
assert construct_reader(BinaryType()) == BinaryReader()
def test_unknown_type() -> None:
class UnknownType(PrimitiveType):
root: str = "UnknownType"
with pytest.raises(ValueError) as exc_info:
construct_reader(UnknownType())
assert "Unknown type:" in str(exc_info.value)
def test_uuid_reader() -> None:
assert construct_reader(UUIDType()) == UUIDReader()
@pytest.mark.parametrize("decoder_class", AVAILABLE_DECODERS)
def test_read_struct(decoder_class: Callable[[bytes], BinaryDecoder]) -> None:
decoder = decoder_class(b"\x18")
struct = StructType(NestedField(1, "id", IntegerType(), required=True))
result = StructReader(((0, IntegerReader()),), Record, struct).read(decoder)
assert repr(result) == "Record[id=12]"
@pytest.mark.parametrize("decoder_class", AVAILABLE_DECODERS)
def test_read_struct_lambda(decoder_class: Callable[[bytes], BinaryDecoder]) -> None:
decoder = decoder_class(b"\x18")
struct = StructType(NestedField(1, "id", IntegerType(), required=True))
# You can also pass in an arbitrary function that returns a struct
result = StructReader(
((0, IntegerReader()),),
lambda struct: Record(struct=struct),
struct, # pylint: disable=unnecessary-lambda
).read(decoder)
assert repr(result) == "Record[id=12]"
@pytest.mark.parametrize("decoder_class", AVAILABLE_DECODERS)
def test_read_not_struct_type(decoder_class: Callable[[bytes], BinaryDecoder]) -> None:
decoder = decoder_class(b"\x18")
struct = StructType(NestedField(1, "id", IntegerType(), required=True))
with pytest.raises(ValueError) as exc_info:
_ = StructReader(((0, IntegerReader()),), str, struct).read(decoder) # type: ignore
assert "Incompatible with StructProtocol: <class 'str'>" in str(exc_info.value)
@pytest.mark.parametrize("decoder_class", AVAILABLE_DECODERS)
def test_read_struct_exception_handling(decoder_class: Callable[[bytes], BinaryDecoder]) -> None:
decoder = decoder_class(b"\x18")
def raise_err(struct: StructType) -> None:
raise TypeError("boom")
struct = StructType(NestedField(1, "id", IntegerType(), required=True))
# You can also pass in an arbitrary function that returns a struct
with pytest.raises(ValueError) as exc_info:
_ = StructReader(((0, IntegerReader()),), raise_err, struct).read(decoder) # type: ignore
assert "Unable to initialize struct:" in str(exc_info.value)