621 lines
22 KiB
Python
621 lines
22 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import abc
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from collections import OrderedDict
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from decimal import Decimal
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import io
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import itertools
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import json
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import string
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import unittest
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try:
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import numpy as np
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except ImportError:
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np = None
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import pytest
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import pyarrow as pa
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from pyarrow.json import read_json, open_json, ReadOptions, ParseOptions
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def generate_col_names():
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# 'a', 'b'... 'z', then 'aa', 'ab'...
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letters = string.ascii_lowercase
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yield from letters
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for first in letters:
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for second in letters:
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yield first + second
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def make_random_json(num_cols=2, num_rows=10, linesep='\r\n'):
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arr = np.random.RandomState(42).randint(0, 1000, size=(num_cols, num_rows))
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col_names = list(itertools.islice(generate_col_names(), num_cols))
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lines = []
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for row in arr.T:
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json_obj = OrderedDict([(k, int(v)) for (k, v) in zip(col_names, row)])
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lines.append(json.dumps(json_obj))
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data = linesep.join(lines).encode()
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columns = [pa.array(col, type=pa.int64()) for col in arr]
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expected = pa.Table.from_arrays(columns, col_names)
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return data, expected
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def check_options_class_pickling(cls, pickler, **attr_values):
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opts = cls(**attr_values)
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new_opts = pickler.loads(pickler.dumps(opts,
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protocol=pickler.HIGHEST_PROTOCOL))
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for name, value in attr_values.items():
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assert getattr(new_opts, name) == value
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def test_read_options(pickle_module):
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cls = ReadOptions
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opts = cls()
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assert opts.block_size > 0
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opts.block_size = 12345
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assert opts.block_size == 12345
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assert opts.use_threads is True
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opts.use_threads = False
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assert opts.use_threads is False
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opts = cls(block_size=1234, use_threads=False)
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assert opts.block_size == 1234
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assert opts.use_threads is False
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check_options_class_pickling(cls, pickler=pickle_module,
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block_size=1234,
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use_threads=False)
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def test_parse_options(pickle_module):
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cls = ParseOptions
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opts = cls()
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assert opts.newlines_in_values is False
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assert opts.explicit_schema is None
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opts.newlines_in_values = True
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assert opts.newlines_in_values is True
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schema = pa.schema([pa.field('foo', pa.int32())])
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opts.explicit_schema = schema
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assert opts.explicit_schema == schema
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assert opts.unexpected_field_behavior == "infer"
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for value in ["ignore", "error", "infer"]:
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opts.unexpected_field_behavior = value
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assert opts.unexpected_field_behavior == value
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with pytest.raises(ValueError):
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opts.unexpected_field_behavior = "invalid-value"
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check_options_class_pickling(cls, pickler=pickle_module,
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explicit_schema=schema,
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newlines_in_values=False,
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unexpected_field_behavior="ignore")
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class BaseTestJSON(abc.ABC):
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@abc.abstractmethod
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def read_bytes(self, b, **kwargs):
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"""
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:param b: bytes to be parsed
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:param kwargs: arguments passed on to open the json file
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:return: b parsed as a single Table
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"""
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raise NotImplementedError
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def check_names(self, table, names):
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assert table.num_columns == len(names)
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assert [c.name for c in table.columns] == names
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def test_block_sizes(self):
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rows = b'{"a": 1}\n{"a": 2}\n{"a": 3}'
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read_options = ReadOptions()
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parse_options = ParseOptions()
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for data in [rows, rows + b'\n']:
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for newlines_in_values in [False, True]:
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parse_options.newlines_in_values = newlines_in_values
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read_options.block_size = 4
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with pytest.raises(ValueError,
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match="try to increase block size"):
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self.read_bytes(data, read_options=read_options,
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parse_options=parse_options)
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# Validate reader behavior with various block sizes.
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# There used to be bugs in this area.
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for block_size in range(9, 20):
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read_options.block_size = block_size
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table = self.read_bytes(data, read_options=read_options,
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parse_options=parse_options)
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assert table.to_pydict() == {'a': [1, 2, 3]}
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def test_no_newline_at_end(self):
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rows = b'{"a": 1,"b": 2, "c": 3}\n{"a": 4,"b": 5, "c": 6}'
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table = self.read_bytes(rows)
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assert table.to_pydict() == {
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'a': [1, 4],
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'b': [2, 5],
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'c': [3, 6],
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}
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def test_simple_ints(self):
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# Infer integer columns
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rows = b'{"a": 1,"b": 2, "c": 3}\n{"a": 4,"b": 5, "c": 6}\n'
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table = self.read_bytes(rows)
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schema = pa.schema([('a', pa.int64()),
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('b', pa.int64()),
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('c', pa.int64())])
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assert table.schema == schema
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assert table.to_pydict() == {
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'a': [1, 4],
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'b': [2, 5],
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'c': [3, 6],
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}
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def test_simple_varied(self):
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# Infer various kinds of data
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rows = (b'{"a": 1,"b": 2, "c": "3", "d": false}\n'
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b'{"a": 4.0, "b": -5, "c": "foo", "d": true}\n')
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table = self.read_bytes(rows)
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schema = pa.schema([('a', pa.float64()),
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('b', pa.int64()),
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('c', pa.string()),
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('d', pa.bool_())])
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assert table.schema == schema
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assert table.to_pydict() == {
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'a': [1.0, 4.0],
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'b': [2, -5],
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'c': ["3", "foo"],
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'd': [False, True],
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}
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def test_simple_nulls(self):
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# Infer various kinds of data, with nulls
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rows = (b'{"a": 1, "b": 2, "c": null, "d": null, "e": null}\n'
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b'{"a": null, "b": -5, "c": "foo", "d": null, "e": true}\n'
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b'{"a": 4.5, "b": null, "c": "nan", "d": null,"e": false}\n')
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table = self.read_bytes(rows)
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schema = pa.schema([('a', pa.float64()),
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('b', pa.int64()),
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('c', pa.string()),
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('d', pa.null()),
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('e', pa.bool_())])
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assert table.schema == schema
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assert table.to_pydict() == {
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'a': [1.0, None, 4.5],
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'b': [2, -5, None],
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'c': [None, "foo", "nan"],
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'd': [None, None, None],
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'e': [None, True, False],
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}
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def test_empty_lists(self):
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# ARROW-10955: Infer list(null)
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rows = b'{"a": []}'
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table = self.read_bytes(rows)
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schema = pa.schema([('a', pa.list_(pa.null()))])
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assert table.schema == schema
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assert table.to_pydict() == {'a': [[]]}
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def test_empty_rows(self):
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rows = b'{}\n{}\n'
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table = self.read_bytes(rows)
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schema = pa.schema([])
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assert table.schema == schema
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assert table.num_columns == 0
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assert table.num_rows == 2
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def test_explicit_schema_decimal(self):
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rows = (b'{"a": 1}\n'
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b'{"a": 1.45}\n'
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b'{"a": -23.456}\n'
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b'{}\n')
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expected = {
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'a': [Decimal("1"), Decimal("1.45"), Decimal("-23.456"), None],
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}
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decimal_types = (pa.decimal32, pa.decimal64, pa.decimal128, pa.decimal256)
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for type_factory in decimal_types:
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schema = pa.schema([('a', type_factory(9, 4))])
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opts = ParseOptions(explicit_schema=schema)
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table = self.read_bytes(rows, parse_options=opts)
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assert table.schema == schema
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assert table.to_pydict() == expected
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def test_explicit_schema_with_unexpected_behaviour(self):
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# infer by default
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rows = (b'{"foo": "bar", "num": 0}\n'
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b'{"foo": "baz", "num": 1}\n')
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schema = pa.schema([
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('foo', pa.binary())
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])
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opts = ParseOptions(explicit_schema=schema)
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table = self.read_bytes(rows, parse_options=opts)
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assert table.schema == pa.schema([
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('foo', pa.binary()),
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('num', pa.int64())
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])
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assert table.to_pydict() == {
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'foo': [b'bar', b'baz'],
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'num': [0, 1],
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}
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# ignore the unexpected fields
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opts = ParseOptions(explicit_schema=schema,
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unexpected_field_behavior="ignore")
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table = self.read_bytes(rows, parse_options=opts)
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assert table.schema == pa.schema([
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('foo', pa.binary()),
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])
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assert table.to_pydict() == {
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'foo': [b'bar', b'baz'],
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}
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# raise error
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opts = ParseOptions(explicit_schema=schema,
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unexpected_field_behavior="error")
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with pytest.raises(pa.ArrowInvalid,
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match="JSON parse error: unexpected field"):
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self.read_bytes(rows, parse_options=opts)
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@pytest.mark.numpy
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def test_small_random_json(self):
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data, expected = make_random_json(num_cols=2, num_rows=10)
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table = self.read_bytes(data)
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assert table.schema == expected.schema
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assert table.equals(expected)
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assert table.to_pydict() == expected.to_pydict()
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@pytest.mark.numpy
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def test_load_large_json(self):
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data, expected = make_random_json(num_cols=2, num_rows=100100)
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# set block size is 10MB
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read_options = ReadOptions(block_size=1024*1024*10)
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table = self.read_bytes(data, read_options=read_options)
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assert table.num_rows == 100100
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assert expected.num_rows == 100100
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@pytest.mark.numpy
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def test_stress_block_sizes(self):
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# Test a number of small block sizes to stress block stitching
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data_base, expected = make_random_json(num_cols=2, num_rows=100)
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read_options = ReadOptions()
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parse_options = ParseOptions()
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for data in [data_base, data_base.rstrip(b'\r\n')]:
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for newlines_in_values in [False, True]:
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parse_options.newlines_in_values = newlines_in_values
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for block_size in [22, 23, 37]:
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read_options.block_size = block_size
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table = self.read_bytes(data, read_options=read_options,
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parse_options=parse_options)
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assert table.schema == expected.schema
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if not table.equals(expected):
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# Better error output
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assert table.to_pydict() == expected.to_pydict()
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class BaseTestJSONRead(BaseTestJSON):
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def read_bytes(self, b, **kwargs):
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return self.read_json(pa.py_buffer(b), **kwargs)
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def test_file_object(self):
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data = b'{"a": 1, "b": 2}\n'
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expected_data = {'a': [1], 'b': [2]}
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bio = io.BytesIO(data)
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table = self.read_json(bio)
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assert table.to_pydict() == expected_data
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# Text files not allowed
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sio = io.StringIO(data.decode())
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with pytest.raises(TypeError):
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self.read_json(sio)
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def test_reconcile_across_blocks(self):
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# ARROW-12065: reconciling inferred types across blocks
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first_row = b'{ }\n'
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read_options = ReadOptions(block_size=len(first_row))
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for next_rows, expected_pylist in [
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(b'{"a": 0}', [None, 0]),
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(b'{"a": []}', [None, []]),
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(b'{"a": []}\n{"a": [[1]]}', [None, [], [[1]]]),
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(b'{"a": {}}', [None, {}]),
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(b'{"a": {}}\n{"a": {"b": {"c": 1}}}',
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[None, {"b": None}, {"b": {"c": 1}}]),
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]:
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table = self.read_bytes(first_row + next_rows,
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read_options=read_options)
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expected = {"a": expected_pylist}
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assert table.to_pydict() == expected
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# Check that the issue was exercised
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assert table.column("a").num_chunks > 1
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class BaseTestStreamingJSONRead(BaseTestJSON):
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def open_json(self, json, *args, **kwargs):
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"""
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Reads the JSON file into memory using pyarrow's open_json
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json The JSON bytes
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args Positional arguments to be forwarded to pyarrow's open_json
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kwargs Keyword arguments to be forwarded to pyarrow's open_json
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"""
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read_options = kwargs.setdefault('read_options', ReadOptions())
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read_options.use_threads = self.use_threads
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return open_json(json, *args, **kwargs)
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def open_bytes(self, b, **kwargs):
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return self.open_json(pa.py_buffer(b), **kwargs)
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def check_reader(self, reader, expected_schema, expected_data):
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assert reader.schema == expected_schema
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batches = list(reader)
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assert len(batches) == len(expected_data)
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for batch, expected_batch in zip(batches, expected_data):
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batch.validate(full=True)
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assert batch.schema == expected_schema
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assert batch.to_pydict() == expected_batch
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def read_bytes(self, b, **kwargs):
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return self.open_bytes(b, **kwargs).read_all()
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def test_file_object(self):
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data = b'{"a": 1, "b": 2}\n'
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expected_data = {'a': [1], 'b': [2]}
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bio = io.BytesIO(data)
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reader = self.open_json(bio)
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expected_schema = pa.schema([('a', pa.int64()),
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('b', pa.int64())])
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self.check_reader(reader, expected_schema, [expected_data])
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def test_bad_first_chunk(self):
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bad_first_chunk = b'{"i": 0 }\n{"i": 1}'
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read_options = ReadOptions()
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read_options.block_size = 3
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with pytest.raises(
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pa.ArrowInvalid,
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match="straddling object straddles two block boundaries*"
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):
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self.open_bytes(bad_first_chunk, read_options=read_options)
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def test_bad_middle_chunk(self):
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bad_middle_chunk = b'{"i": 0}\n{"i": 1}\n{"i": 2}'
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read_options = ReadOptions()
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read_options.block_size = 10
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expected_schema = pa.schema([('i', pa.int64())])
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reader = self.open_bytes(bad_middle_chunk, read_options=read_options)
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assert reader.schema == expected_schema
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assert reader.read_next_batch().to_pydict() == {
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'i': [0]
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}
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with pytest.raises(
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pa.ArrowInvalid,
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match="straddling object straddles two block boundaries*"
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):
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reader.read_next_batch()
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with pytest.raises(StopIteration):
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reader.read_next_batch()
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def test_bad_first_parse(self):
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bad_first_block = b'{"n": }\n{"n": 10000}'
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read_options = ReadOptions()
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read_options.block_size = 16
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with pytest.raises(pa.ArrowInvalid,
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match="JSON parse error: Invalid value.*"):
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self.open_bytes(bad_first_block, read_options=read_options)
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def test_bad_middle_parse_after_empty(self):
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bad_first_block = b'{ }{"n": }\n{"n": 10000}'
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read_options = ReadOptions()
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read_options.block_size = 16
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with pytest.raises(pa.ArrowInvalid,
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match="JSON parse error: Invalid value.*"):
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self.open_bytes(bad_first_block, read_options=read_options)
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def test_bad_middle_parse(self):
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bad_middle_chunk = b'{"n": 1000}\n{"n": 200 00}\n{"n": 3000}'
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read_options = ReadOptions()
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read_options.block_size = 10
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expected_schema = pa.schema([('n', pa.int64())])
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reader = self.open_bytes(bad_middle_chunk, read_options=read_options)
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assert reader.schema == expected_schema
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assert reader.read_next_batch().to_pydict() == {
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'n': [1000]
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}
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with pytest.raises(
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pa.ArrowInvalid,
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match="JSON parse error:\
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Missing a comma or '}' after an object member*"
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):
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reader.read_next_batch()
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with pytest.raises(StopIteration):
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reader.read_next_batch()
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def test_non_linewise_chunker_first_block(self):
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bad_middle_chunk = b'{"n": 0}{1}\n{"n": 2}'
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read_options = ReadOptions(block_size=10)
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parse_options = ParseOptions(newlines_in_values=True)
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expected_schema = pa.schema([('n', pa.int64())])
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reader = self.open_bytes(
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bad_middle_chunk,
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read_options=read_options,
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parse_options=parse_options)
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assert reader.schema == expected_schema
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assert reader.read_next_batch().to_pydict() == {
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'n': [0]
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}
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with pytest.raises(pa.ArrowInvalid,
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match="JSON parse error *"):
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reader.read_next_batch()
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with pytest.raises(StopIteration):
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reader.read_next_batch()
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def test_non_linewise_chunker_bad_first_block(self):
|
|
bad_middle_chunk = b'{"n": 0}{1}\n{"n": 2}'
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|
read_options = ReadOptions(block_size=10)
|
|
parse_options = ParseOptions(newlines_in_values=True)
|
|
expected_schema = pa.schema([('n', pa.int64())])
|
|
|
|
reader = self.open_bytes(
|
|
bad_middle_chunk,
|
|
read_options=read_options,
|
|
parse_options=parse_options)
|
|
assert reader.schema == expected_schema
|
|
assert reader.read_next_batch().to_pydict() == {
|
|
'n': [0]
|
|
}
|
|
with pytest.raises(pa.ArrowInvalid,
|
|
match="JSON parse error *"):
|
|
reader.read_next_batch()
|
|
|
|
with pytest.raises(StopIteration):
|
|
reader.read_next_batch()
|
|
|
|
def test_non_linewise_chunker_bad_middle_block(self):
|
|
bad_middle_chunk = b'{"n": 0}\n{"n": 1}\n{}"n":2}\n{"n": 3}'
|
|
read_options = ReadOptions(block_size=10)
|
|
parse_options = ParseOptions(newlines_in_values=True)
|
|
expected_schema = pa.schema([('n', pa.int64())])
|
|
|
|
reader = self.open_bytes(
|
|
bad_middle_chunk,
|
|
read_options=read_options,
|
|
parse_options=parse_options)
|
|
assert reader.schema == expected_schema
|
|
assert reader.read_next_batch().to_pydict() == {
|
|
'n': [0]
|
|
}
|
|
assert reader.read_next_batch().to_pydict() == {
|
|
'n': [1]
|
|
}
|
|
|
|
with pytest.raises(pa.ArrowInvalid,
|
|
match="JSON parse error *"):
|
|
reader.read_next_batch()
|
|
|
|
with pytest.raises(StopIteration):
|
|
reader.read_next_batch()
|
|
|
|
def test_ignore_leading_empty_blocks(self):
|
|
leading_empty_chunk = b' \n{"b": true, "s": "foo"}'
|
|
explicit_schema = pa.schema([
|
|
('b', pa.bool_()),
|
|
('s', pa.utf8())
|
|
])
|
|
read_options = ReadOptions(block_size=24)
|
|
parse_options = ParseOptions(explicit_schema=explicit_schema)
|
|
expected_data = {
|
|
'b': [True], 's': ["foo"]
|
|
}
|
|
|
|
reader = self.open_bytes(
|
|
leading_empty_chunk,
|
|
read_options=read_options,
|
|
parse_options=parse_options)
|
|
self.check_reader(reader, explicit_schema, [expected_data])
|
|
|
|
def test_inference(self):
|
|
rows = b'{"a": 0, "b": "foo" }\n\
|
|
{"a": 1, "c": true }\n{"a": 2, "d": 4.0}'
|
|
expected_schema = pa.schema([
|
|
('a', pa.int64()),
|
|
('b', pa.utf8())
|
|
])
|
|
expected_data = {'a': [0], 'b': ["foo"]}
|
|
|
|
read_options = ReadOptions(block_size=32)
|
|
parse_options = ParseOptions(unexpected_field_behavior="infer")
|
|
reader = self.open_bytes(
|
|
rows,
|
|
read_options=read_options,
|
|
parse_options=parse_options)
|
|
assert reader.schema == expected_schema
|
|
assert reader.read_next_batch().to_pydict() == expected_data
|
|
with pytest.raises(pa.ArrowInvalid,
|
|
match="JSON parse error: unexpected field"):
|
|
reader.read_next_batch()
|
|
|
|
expected_schema = pa.schema([
|
|
('a', pa.int64()),
|
|
('b', pa.utf8()),
|
|
('c', pa.bool_()),
|
|
])
|
|
expected_data = {'a': [0, 1], 'b': ["foo", None], 'c': [None, True]}
|
|
read_options = ReadOptions(block_size=64)
|
|
reader = self.open_bytes(rows, read_options=read_options,
|
|
parse_options=parse_options)
|
|
assert reader.schema == expected_schema
|
|
assert reader.read_next_batch().to_pydict() == expected_data
|
|
with pytest.raises(pa.ArrowInvalid,
|
|
match="JSON parse error: unexpected field"):
|
|
reader.read_next_batch()
|
|
|
|
expected_schema = pa.schema([
|
|
('a', pa.int64()),
|
|
('b', pa.utf8()),
|
|
('c', pa.bool_()),
|
|
('d', pa.float64()),
|
|
])
|
|
expected_data = {'a': [0, 1, 2], 'b': ["foo", None, None],
|
|
'c': [None, True, None], 'd': [None, None, 4.0]}
|
|
read_options = ReadOptions(block_size=96)
|
|
reader = self.open_bytes(rows, read_options=read_options,
|
|
parse_options=parse_options)
|
|
assert reader.schema == expected_schema
|
|
assert reader.read_next_batch().to_pydict() == expected_data
|
|
|
|
|
|
class TestSerialJSONRead(BaseTestJSONRead, unittest.TestCase):
|
|
|
|
def read_json(self, *args, **kwargs):
|
|
read_options = kwargs.setdefault('read_options', ReadOptions())
|
|
read_options.use_threads = False
|
|
table = read_json(*args, **kwargs)
|
|
table.validate(full=True)
|
|
return table
|
|
|
|
|
|
class TestParallelJSONRead(BaseTestJSONRead, unittest.TestCase):
|
|
|
|
def read_json(self, *args, **kwargs):
|
|
read_options = kwargs.setdefault('read_options', ReadOptions())
|
|
read_options.use_threads = True
|
|
table = read_json(*args, **kwargs)
|
|
table.validate(full=True)
|
|
return table
|
|
|
|
|
|
class TestSerialStreamingJSONRead(BaseTestStreamingJSONRead, unittest.TestCase):
|
|
|
|
use_threads = False
|
|
|
|
|
|
@pytest.mark.threading
|
|
class TestThreadedStreamingJSONRead(BaseTestStreamingJSONRead, unittest.TestCase):
|
|
|
|
use_threads = True
|