-
Notifications
You must be signed in to change notification settings - Fork 1.7k
Expand file tree
/
Copy path__init__.py
More file actions
258 lines (242 loc) · 6.84 KB
/
Copy path__init__.py
File metadata and controls
258 lines (242 loc) · 6.84 KB
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
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
# Copyright 2015 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.
"""Google BigQuery API wrapper.
The main concepts with this API are:
- :class:`~google.cloud.bigquery.client.Client` manages connections to the
BigQuery API. Use the client methods to run jobs (such as a
:class:`~google.cloud.bigquery.job.QueryJob` via
:meth:`~google.cloud.bigquery.client.Client.query`) and manage resources.
- :class:`~google.cloud.bigquery.dataset.Dataset` represents a
collection of tables.
- :class:`~google.cloud.bigquery.table.Table` represents a single "relation".
"""
import sys
import warnings
from google.cloud.bigquery import version as bigquery_version
__version__ = bigquery_version.__version__
from google.cloud.bigquery import enums
from google.cloud.bigquery.client import Client
from google.cloud.bigquery.dataset import AccessEntry, Dataset, DatasetReference
from google.cloud.bigquery.encryption_configuration import EncryptionConfiguration
from google.cloud.bigquery.enums import (
AutoRowIDs,
DecimalTargetType,
KeyResultStatementKind,
SqlTypeNames,
StandardSqlTypeNames,
)
from google.cloud.bigquery.exceptions import (
LegacyBigQueryStorageError,
LegacyPandasError,
LegacyPyarrowError,
)
from google.cloud.bigquery.external_config import (
BigtableColumn,
BigtableColumnFamily,
BigtableOptions,
CSVOptions,
ExternalConfig,
ExternalSourceFormat,
GoogleSheetsOptions,
HivePartitioningOptions,
)
from google.cloud.bigquery.format_options import AvroOptions, ParquetOptions
from google.cloud.bigquery.job import (
Compression,
CopyJob,
CopyJobConfig,
CreateDisposition,
DestinationFormat,
DmlStats,
Encoding,
ExtractJob,
ExtractJobConfig,
LoadJob,
LoadJobConfig,
OperationType,
QueryJob,
QueryJobConfig,
QueryPriority,
SchemaUpdateOption,
ScriptOptions,
SourceFormat,
TransactionInfo,
UnknownJob,
WriteDisposition,
)
from google.cloud.bigquery.job.base import SessionInfo
from google.cloud.bigquery.model import Model, ModelReference
from google.cloud.bigquery.query import (
ArrayQueryParameter,
ArrayQueryParameterType,
ConnectionProperty,
RangeQueryParameter,
RangeQueryParameterType,
ScalarQueryParameter,
ScalarQueryParameterType,
SqlParameterScalarTypes,
StructQueryParameter,
StructQueryParameterType,
UDFResource,
)
from google.cloud.bigquery.retry import DEFAULT_RETRY
from google.cloud.bigquery.routine import (
DeterminismLevel,
ExternalRuntimeOptions,
RemoteFunctionOptions,
Routine,
RoutineArgument,
RoutineReference,
RoutineType,
)
from google.cloud.bigquery.schema import FieldElementType, PolicyTagList, SchemaField
from google.cloud.bigquery.standard_sql import (
StandardSqlDataType,
StandardSqlField,
StandardSqlStructType,
StandardSqlTableType,
)
from google.cloud.bigquery.table import (
CloneDefinition,
PartitionRange,
RangePartitioning,
Row,
SnapshotDefinition,
Table,
TableReference,
TimePartitioning,
TimePartitioningType,
)
try:
import bigquery_magics # type: ignore
except ImportError:
bigquery_magics = None
if sys.version_info < (3, 10): # pragma: NO COVER
warnings.warn(
"The python-bigquery library no longer supports Python <= 3.9. "
f"Your Python version is {sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}. We "
"recommend that you update soon to ensure ongoing support. For "
"more details, see: [Google Cloud Client Libraries Supported Python Versions policy](https://cloud.google.com/python/docs/supported-python-versions)",
FutureWarning,
)
__all__ = [
"__version__",
"Client",
# Queries
"ConnectionProperty",
"QueryJob",
"QueryJobConfig",
"ArrayQueryParameter",
"ScalarQueryParameter",
"StructQueryParameter",
"RangeQueryParameter",
"ArrayQueryParameterType",
"ScalarQueryParameterType",
"SqlParameterScalarTypes",
"StructQueryParameterType",
"RangeQueryParameterType",
# Datasets
"Dataset",
"DatasetReference",
"AccessEntry",
# Tables
"Table",
"TableReference",
"PartitionRange",
"RangePartitioning",
"Row",
"SnapshotDefinition",
"CloneDefinition",
"TimePartitioning",
"TimePartitioningType",
# Jobs
"CopyJob",
"CopyJobConfig",
"ExtractJob",
"ExtractJobConfig",
"LoadJob",
"LoadJobConfig",
"SessionInfo",
"UnknownJob",
# Models
"Model",
"ModelReference",
# Routines
"Routine",
"RoutineArgument",
"RoutineReference",
"RemoteFunctionOptions",
"ExternalRuntimeOptions",
# Shared helpers
"SchemaField",
"FieldElementType",
"PolicyTagList",
"UDFResource",
"ExternalConfig",
"AvroOptions",
"BigtableOptions",
"BigtableColumnFamily",
"BigtableColumn",
"DmlStats",
"CSVOptions",
"GoogleSheetsOptions",
"HivePartitioningOptions",
"ParquetOptions",
"ScriptOptions",
"TransactionInfo",
"DEFAULT_RETRY",
# Standard SQL types
"StandardSqlDataType",
"StandardSqlField",
"StandardSqlStructType",
"StandardSqlTableType",
# Enum Constants
"enums",
"AutoRowIDs",
"Compression",
"CreateDisposition",
"DecimalTargetType",
"DestinationFormat",
"DeterminismLevel",
"ExternalSourceFormat",
"Encoding",
"KeyResultStatementKind",
"OperationType",
"QueryPriority",
"RoutineType",
"SchemaUpdateOption",
"SourceFormat",
"SqlTypeNames",
"StandardSqlTypeNames",
"WriteDisposition",
# EncryptionConfiguration
"EncryptionConfiguration",
# Custom exceptions
"LegacyBigQueryStorageError",
"LegacyPyarrowError",
"LegacyPandasError",
]
def load_ipython_extension(ipython):
"""Called by IPython when this module is loaded as an IPython extension."""
warnings.warn(
"%load_ext google.cloud.bigquery is deprecated. Install bigquery-magics package and use `%load_ext bigquery_magics`, instead.",
category=FutureWarning,
)
if bigquery_magics is not None:
bigquery_magics.load_ipython_extension(ipython)
else:
from google.cloud.bigquery.magics.magics import _cell_magic
ipython.register_magic_function(
_cell_magic, magic_kind="cell", magic_name="bigquery"
)