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1856027 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 | # Copyright 2021 Google LLC
#
# Licensed 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 typing import Dict, Optional
class AvroOptions:
"""Options if source format is set to AVRO."""
_SOURCE_FORMAT = "AVRO"
_RESOURCE_NAME = "avroOptions"
def __init__(self):
self._properties = {}
@property
def use_avro_logical_types(self) -> Optional[bool]:
"""[Optional] If sourceFormat is set to 'AVRO', indicates whether to
interpret logical types as the corresponding BigQuery data type (for
example, TIMESTAMP), instead of using the raw type (for example,
INTEGER).
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#AvroOptions.FIELDS.use_avro_logical_types
"""
return self._properties.get("useAvroLogicalTypes")
@use_avro_logical_types.setter
def use_avro_logical_types(self, value):
self._properties["useAvroLogicalTypes"] = value
@classmethod
def from_api_repr(cls, resource: Dict[str, bool]) -> "AvroOptions":
"""Factory: construct an instance from a resource dict.
Args:
resource (Dict[str, bool]):
Definition of a :class:`~.format_options.AvroOptions` instance in
the same representation as is returned from the API.
Returns:
:class:`~.format_options.AvroOptions`:
Configuration parsed from ``resource``.
"""
config = cls()
config._properties = copy.deepcopy(resource)
return config
def to_api_repr(self) -> dict:
"""Build an API representation of this object.
Returns:
Dict[str, bool]:
A dictionary in the format used by the BigQuery API.
"""
return copy.deepcopy(self._properties)
class ParquetOptions:
"""Additional options if the PARQUET source format is used."""
_SOURCE_FORMAT = "PARQUET"
_RESOURCE_NAME = "parquetOptions"
def __init__(self):
self._properties = {}
@property
def enum_as_string(self) -> bool:
"""Indicates whether to infer Parquet ENUM logical type as STRING instead of
BYTES by default.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#ParquetOptions.FIELDS.enum_as_string
"""
return self._properties.get("enumAsString")
@enum_as_string.setter
def enum_as_string(self, value: bool) -> None:
self._properties["enumAsString"] = value
@property
def enable_list_inference(self) -> bool:
"""Indicates whether to use schema inference specifically for Parquet LIST
logical type.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#ParquetOptions.FIELDS.enable_list_inference
"""
return self._properties.get("enableListInference")
@enable_list_inference.setter
def enable_list_inference(self, value: bool) -> None:
self._properties["enableListInference"] = value
@property
def map_target_type(self) -> str:
"""Indicates whether to simplify the representation of parquet maps to only show keys and values."""
return self._properties.get("mapTargetType")
@map_target_type.setter
def map_target_type(self, value: str) -> None:
"""Sets the map target type.
Args:
value: The map target type (eg ARRAY_OF_STRUCT).
"""
self._properties["mapTargetType"] = value
@classmethod
def from_api_repr(cls, resource: Dict[str, bool]) -> "ParquetOptions":
"""Factory: construct an instance from a resource dict.
Args:
resource (Dict[str, bool]):
Definition of a :class:`~.format_options.ParquetOptions` instance in
the same representation as is returned from the API.
Returns:
:class:`~.format_options.ParquetOptions`:
Configuration parsed from ``resource``.
"""
config = cls()
config._properties = copy.deepcopy(resource)
return config
def to_api_repr(self) -> dict:
"""Build an API representation of this object.
Returns:
Dict[str, bool]:
A dictionary in the format used by the BigQuery API.
"""
return copy.deepcopy(self._properties)
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