INSTRUCTION stringlengths 1 8.43k | RESPONSE stringlengths 75 104k |
|---|---|
Mutates multiple rows in a batch. Each individual row is mutated atomically as in MutateRow but the entire batch is not executed atomically. | def mutate_rows(
self,
table_name,
entries,
app_profile_id=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Mutates multiple rows in a batch. Each individual row is muta... |
Mutates a row atomically based on the output of a predicate Reader filter. | def check_and_mutate_row(
self,
table_name,
row_key,
app_profile_id=None,
predicate_filter=None,
true_mutations=None,
false_mutations=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
meta... |
Refresh self from the server - provided protobuf. Helper for: meth: from_pb and: meth: reload. | def _update_from_pb(self, instance_pb):
"""Refresh self from the server-provided protobuf.
Helper for :meth:`from_pb` and :meth:`reload`.
"""
if not instance_pb.display_name: # Simple field (string)
raise ValueError("Instance protobuf does not contain display_name")
... |
Instance name used in requests. | def name(self):
"""Instance name used in requests.
.. note::
This property will not change if ``instance_id`` does not,
but the return value is not cached.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_instance_name]
... |
Create this instance. | def create(
self,
location_id=None,
serve_nodes=None,
default_storage_type=None,
clusters=None,
):
"""Create this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_create_prod_instance]
:end-... |
Check whether the instance already exists. | def exists(self):
"""Check whether the instance already exists.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_check_instance_exists]
:end-before: [END bigtable_check_instance_exists]
:rtype: bool
:returns: True if the table ... |
Reload the metadata for this instance. | def reload(self):
"""Reload the metadata for this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_reload_instance]
:end-before: [END bigtable_reload_instance]
"""
instance_pb = self._client.instance_admin_client.get_i... |
Updates an instance within a project. | def update(self):
"""Updates an instance within a project.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_update_instance]
:end-before: [END bigtable_update_instance]
.. note::
Updates any or all of the following values:... |
Gets the access control policy for an instance resource. | def get_iam_policy(self):
"""Gets the access control policy for an instance resource.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_get_iam_policy]
:end-before: [END bigtable_get_iam_policy]
:rtype: :class:`google.cloud.bigtable.pol... |
Sets the access control policy on an instance resource. Replaces any existing policy. | def set_iam_policy(self, policy):
"""Sets the access control policy on an instance resource. Replaces any
existing policy.
For more information about policy, please see documentation of
class `google.cloud.bigtable.policy.Policy`
For example:
.. literalinclude:: snippe... |
Factory to create a cluster associated with this instance. | def cluster(
self, cluster_id, location_id=None, serve_nodes=None, default_storage_type=None
):
"""Factory to create a cluster associated with this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_create_cluster]
:end-befo... |
List the clusters in this instance. | def list_clusters(self):
"""List the clusters in this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_list_clusters_on_instance]
:end-before: [END bigtable_list_clusters_on_instance]
:rtype: tuple
:returns:
... |
Factory to create a table associated with this instance. | def table(self, table_id, mutation_timeout=None, app_profile_id=None):
"""Factory to create a table associated with this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_create_table]
:end-before: [END bigtable_create_table]
... |
List the tables in this instance. | def list_tables(self):
"""List the tables in this instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_list_tables]
:end-before: [END bigtable_list_tables]
:rtype: list of :class:`Table <google.cloud.bigtable.table.Table>`
... |
Factory to create AppProfile associated with this instance. | def app_profile(
self,
app_profile_id,
routing_policy_type=None,
description=None,
cluster_id=None,
allow_transactional_writes=None,
):
"""Factory to create AppProfile associated with this instance.
For example:
.. literalinclude:: snippets.p... |
Lists information about AppProfiles in an instance. | def list_app_profiles(self):
"""Lists information about AppProfiles in an instance.
For example:
.. literalinclude:: snippets.py
:start-after: [START bigtable_list_app_profiles]
:end-before: [END bigtable_list_app_profiles]
:rtype: :list:[`~google.cloud.bigtabl... |
Run the system test suite. | def system(session):
"""Run the system test suite."""
system_test_path = os.path.join("tests", "system.py")
system_test_folder_path = os.path.join("tests", "system")
# Sanity check: Only run tests if the environment variable is set.
if not os.environ.get("GOOGLE_APPLICATION_CREDENTIALS", ""):
... |
A: class: ~google. cloud. bigquery. table. TableReference pointing to this table. | def _reference_getter(table):
"""A :class:`~google.cloud.bigquery.table.TableReference` pointing to
this table.
Returns:
google.cloud.bigquery.table.TableReference: pointer to this table.
"""
from google.cloud.bigquery import dataset
dataset_ref = dataset.DatasetReference(table.project... |
bool: Specifies whether to execute the view with Legacy or Standard SQL. | def _view_use_legacy_sql_getter(table):
"""bool: Specifies whether to execute the view with Legacy or Standard SQL.
This boolean specifies whether to execute the view with Legacy SQL
(:data:`True`) or Standard SQL (:data:`False`). The client side default is
:data:`False`. The server-side default is :da... |
Convert a mapping to a row tuple using the schema. | def _row_from_mapping(mapping, schema):
"""Convert a mapping to a row tuple using the schema.
Args:
mapping (Dict[str, object])
Mapping of row data: must contain keys for all required fields in
the schema. Keys which do not correspond to a field in the schema
are ign... |
Convert a JSON row to the native object. | def _item_to_row(iterator, resource):
"""Convert a JSON row to the native object.
.. note::
This assumes that the ``schema`` attribute has been
added to the iterator after being created, which
should be done by the caller.
:type iterator: :class:`~google.api_core.page_iterator.Ite... |
Grab total rows when: class: ~google. cloud. iterator. Page starts. | def _rows_page_start(iterator, page, response):
"""Grab total rows when :class:`~google.cloud.iterator.Page` starts.
:type iterator: :class:`~google.api_core.page_iterator.Iterator`
:param iterator: The iterator that is currently in use.
:type page: :class:`~google.api_core.page_iterator.Page`
:pa... |
Helper to convert a string or Table to TableReference. | def _table_arg_to_table_ref(value, default_project=None):
"""Helper to convert a string or Table to TableReference.
This function keeps TableReference and other kinds of objects unchanged.
"""
if isinstance(value, six.string_types):
value = TableReference.from_string(value, default_project=defa... |
Helper to convert a string or TableReference to a Table. | def _table_arg_to_table(value, default_project=None):
"""Helper to convert a string or TableReference to a Table.
This function keeps Table and other kinds of objects unchanged.
"""
if isinstance(value, six.string_types):
value = TableReference.from_string(value, default_project=default_project... |
Construct a table reference from table ID string. | def from_string(cls, table_id, default_project=None):
"""Construct a table reference from table ID string.
Args:
table_id (str):
A table ID in standard SQL format. If ``default_project``
is not specified, this must included a project ID, dataset
... |
Factory: construct a table reference given its API representation | def from_api_repr(cls, resource):
"""Factory: construct a table reference given its API representation
Args:
resource (Dict[str, object]):
Table reference representation returned from the API
Returns:
google.cloud.bigquery.table.TableReference:
... |
Construct a BigQuery Storage API representation of this table. | def to_bqstorage(self):
"""Construct a BigQuery Storage API representation of this table.
Install the ``google-cloud-bigquery-storage`` package to use this
feature.
If the ``table_id`` contains a partition identifier (e.g.
``my_table$201812``) or a snapshot identifier (e.g.
... |
google. cloud. bigquery. table. EncryptionConfiguration: Custom encryption configuration for the table. | def encryption_configuration(self):
"""google.cloud.bigquery.table.EncryptionConfiguration: Custom
encryption configuration for the table.
Custom encryption configuration (e.g., Cloud KMS keys) or :data:`None`
if using default encryption.
See `protecting data with Cloud KMS key... |
google. cloud. bigquery. table. TimePartitioning: Configures time - based partitioning for a table. | def time_partitioning(self):
"""google.cloud.bigquery.table.TimePartitioning: Configures time-based
partitioning for a table.
Raises:
ValueError:
If the value is not :class:`TimePartitioning` or :data:`None`.
"""
prop = self._properties.get("timeParti... |
Union [ int None ]: Expiration time in milliseconds for a partition. | def partition_expiration(self):
"""Union[int, None]: Expiration time in milliseconds for a partition.
If :attr:`partition_expiration` is set and :attr:`type_` is
not set, :attr:`type_` will default to
:attr:`~google.cloud.bigquery.table.TimePartitioningType.DAY`.
"""
war... |
Union [ List [ str ] None ]: Fields defining clustering for the table | def clustering_fields(self):
"""Union[List[str], None]: Fields defining clustering for the table
(Defaults to :data:`None`).
Clustering fields are immutable after table creation.
.. note::
As of 2018-06-29, clustering fields cannot be set on a table
which does n... |
Union [ List [ str ] None ]: Fields defining clustering for the table | def clustering_fields(self, value):
"""Union[List[str], None]: Fields defining clustering for the table
(Defaults to :data:`None`).
"""
if value is not None:
prop = self._properties.setdefault("clustering", {})
prop["fields"] = value
else:
if ... |
Union [ datetime. datetime None ]: Datetime at which the table will be deleted. | def expires(self):
"""Union[datetime.datetime, None]: Datetime at which the table will be
deleted.
Raises:
ValueError: For invalid value types.
"""
expiration_time = self._properties.get("expirationTime")
if expiration_time is not None:
# expirati... |
Union [ google. cloud. bigquery. ExternalConfig None ]: Configuration for an external data source ( defaults to: data: None ). | def external_data_configuration(self):
"""Union[google.cloud.bigquery.ExternalConfig, None]: Configuration for
an external data source (defaults to :data:`None`).
Raises:
ValueError: For invalid value types.
"""
prop = self._properties.get("externalDataConfiguration"... |
Factory: construct a table given its API representation | def from_api_repr(cls, resource):
"""Factory: construct a table given its API representation
Args:
resource (Dict[str, object]):
Table resource representation from the API
Returns:
google.cloud.bigquery.table.Table: Table parsed from ``resource``.
... |
Union [ str None ]: Time partitioning of the table if it is partitioned ( Defaults to: data: None ). | def partitioning_type(self):
"""Union[str, None]: Time partitioning of the table if it is
partitioned (Defaults to :data:`None`).
"""
warnings.warn(
"This method will be deprecated in future versions. Please use "
"TableListItem.time_partitioning.type_ instead.",
... |
Return items as ( key value ) pairs. | def items(self):
"""Return items as ``(key, value)`` pairs.
Returns:
Iterable[Tuple[str, object]]:
The ``(key, value)`` pairs representing this row.
Examples:
>>> list(Row(('a', 'b'), {'x': 0, 'y': 1}).items())
[('x', 'a'), ('y', 'b')]
... |
Return a value for key with a default value if it does not exist. | def get(self, key, default=None):
"""Return a value for key, with a default value if it does not exist.
Args:
key (str): The key of the column to access
default (object):
The default value to use if the key does not exist. (Defaults
to :data:`None... |
Requests the next page from the path provided. | def _get_next_page_response(self):
"""Requests the next page from the path provided.
Returns:
Dict[str, object]:
The parsed JSON response of the next page's contents.
"""
params = self._get_query_params()
if self._page_size is not None:
pa... |
Use ( slower but free ) tabledata. list to construct a DataFrame. | def _to_dataframe_tabledata_list(self, dtypes, progress_bar=None):
"""Use (slower, but free) tabledata.list to construct a DataFrame."""
column_names = [field.name for field in self.schema]
frames = []
for page in iter(self.pages):
current_frame = self._to_dataframe_dtypes(p... |
Use ( faster but billable ) BQ Storage API to construct DataFrame. | def _to_dataframe_bqstorage(self, bqstorage_client, dtypes, progress_bar=None):
"""Use (faster, but billable) BQ Storage API to construct DataFrame."""
if bigquery_storage_v1beta1 is None:
raise ValueError(_NO_BQSTORAGE_ERROR)
if "$" in self._table.table_id:
raise ValueE... |
Construct a tqdm progress bar object if tqdm is installed. | def _get_progress_bar(self, progress_bar_type):
"""Construct a tqdm progress bar object, if tqdm is installed."""
if tqdm is None:
if progress_bar_type is not None:
warnings.warn(_NO_TQDM_ERROR, UserWarning, stacklevel=3)
return None
description = "Downlo... |
Create a pandas DataFrame by loading all pages of a query. | def to_dataframe(self, bqstorage_client=None, dtypes=None, progress_bar_type=None):
"""Create a pandas DataFrame by loading all pages of a query.
Args:
bqstorage_client ( \
google.cloud.bigquery_storage_v1beta1.BigQueryStorageClient \
):
**Beta Fe... |
Create an empty dataframe. | def to_dataframe(self, bqstorage_client=None, dtypes=None, progress_bar_type=None):
"""Create an empty dataframe.
Args:
bqstorage_client (Any):
Ignored. Added for compatibility with RowIterator.
dtypes (Any):
Ignored. Added for compatibility with ... |
Return a: class: TimePartitioning object deserialized from a dict. | def from_api_repr(cls, api_repr):
"""Return a :class:`TimePartitioning` object deserialized from a dict.
This method creates a new ``TimePartitioning`` instance that points to
the ``api_repr`` parameter as its internal properties dict. This means
that when a ``TimePartitioning`` instanc... |
Convert response content - > ( multipart ) email. message. | def _generate_faux_mime_message(parser, response):
"""Convert response, content -> (multipart) email.message.
Helper for _unpack_batch_response.
"""
# We coerce to bytes to get consistent concat across
# Py2 and Py3. Percent formatting is insufficient since
# it includes the b in Py3.
conte... |
Convert requests. Response - > [ ( headers payload ) ]. | def _unpack_batch_response(response):
"""Convert requests.Response -> [(headers, payload)].
Creates a generator of tuples of emulating the responses to
:meth:`requests.Session.request`.
:type response: :class:`requests.Response`
:param response: HTTP response / headers from a request.
"""
... |
Override Connection: defer actual HTTP request. | def _do_request(self, method, url, headers, data, target_object):
"""Override Connection: defer actual HTTP request.
Only allow up to ``_MAX_BATCH_SIZE`` requests to be deferred.
:type method: str
:param method: The HTTP method to use in the request.
:type url: str
:p... |
Prepares headers and body for a batch request. | def _prepare_batch_request(self):
"""Prepares headers and body for a batch request.
:rtype: tuple (dict, str)
:returns: The pair of headers and body of the batch request to be sent.
:raises: :class:`ValueError` if no requests have been deferred.
"""
if len(self._requests... |
Apply all the batch responses to the futures created. | def _finish_futures(self, responses):
"""Apply all the batch responses to the futures created.
:type responses: list of (headers, payload) tuples.
:param responses: List of headers and payloads from each response in
the batch.
:raises: :class:`ValueError` if n... |
Submit a single multipart/ mixed request with deferred requests. | def finish(self):
"""Submit a single `multipart/mixed` request with deferred requests.
:rtype: list of tuples
:returns: one ``(headers, payload)`` tuple per deferred request.
"""
headers, body = self._prepare_batch_request()
url = "%s/batch/storage/v1" % self.API_BASE_U... |
Restart iteration after: exc:. ServiceUnavailable. | def _restart_on_unavailable(restart):
"""Restart iteration after :exc:`.ServiceUnavailable`.
:type restart: callable
:param restart: curried function returning iterator
"""
resume_token = b""
item_buffer = []
iterator = restart()
while True:
try:
for item in iterator... |
Perform a StreamingRead API request for rows in a table. | def read(self, table, columns, keyset, index="", limit=0, partition=None):
"""Perform a ``StreamingRead`` API request for rows in a table.
:type table: str
:param table: name of the table from which to fetch data
:type columns: list of str
:param columns: names of columns to be... |
Perform an ExecuteStreamingSql API request. | def execute_sql(
self,
sql,
params=None,
param_types=None,
query_mode=None,
partition=None,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
):
"""Perform an ``ExecuteStreamingSql`` API request.
... |
Perform a ParitionRead API request for rows in a table. | def partition_read(
self,
table,
columns,
keyset,
index="",
partition_size_bytes=None,
max_partitions=None,
):
"""Perform a ``ParitionRead`` API request for rows in a table.
:type table: str
:param table: name of the table from which t... |
Perform a ParitionQuery API request. | def partition_query(
self,
sql,
params=None,
param_types=None,
partition_size_bytes=None,
max_partitions=None,
):
"""Perform a ``ParitionQuery`` API request.
:type sql: str
:param sql: SQL query statement
:type params: dict, {str -> c... |
Helper for: meth: read. | def _make_txn_selector(self):
"""Helper for :meth:`read`."""
if self._transaction_id is not None:
return TransactionSelector(id=self._transaction_id)
if self._read_timestamp:
key = "read_timestamp"
value = _datetime_to_pb_timestamp(self._read_timestamp)
... |
Begin a read - only transaction on the database. | def begin(self):
"""Begin a read-only transaction on the database.
:rtype: bytes
:returns: the ID for the newly-begun transaction.
:raises ValueError:
if the transaction is already begun, committed, or rolled back.
"""
if not self._multi_use:
rai... |
Returns the user - agent string for this client info. | def to_user_agent(self):
"""Returns the user-agent string for this client info."""
# Note: the order here is important as the internal metrics system
# expects these items to be in specific locations.
ua = ""
if self.user_agent is not None:
ua += "{user_agent} "
... |
Reads rows from the table in the format prescribed by the read session. Each response contains one or more table rows up to a maximum of 10 MiB per response ; read requests which attempt to read individual rows larger than this will fail. | def read_rows(
self,
read_position,
retry=google.api_core.gapic_v1.method.DEFAULT,
timeout=google.api_core.gapic_v1.method.DEFAULT,
metadata=None,
):
"""
Reads rows from the table in the format prescribed by the read
session. Each response contains one... |
Create an instance of the gapic Trace API. | def make_trace_api(client):
"""
Create an instance of the gapic Trace API.
Args:
client (~google.cloud.trace.client.Client): The client that holds
configuration details.
Returns:
A :class:`~google.cloud.trace._gapic._TraceAPI` instance with the
proper configurations... |
Sends new traces to Stackdriver Trace or updates existing traces. | def patch_traces(self, project_id, traces):
"""
Sends new traces to Stackdriver Trace or updates existing traces.
Args:
project_id (Optional[str]): ID of the Cloud project where the trace
data is stored.
traces (dict): Required. The traces to be patched i... |
Gets a single trace by its ID. | def get_trace(self, project_id, trace_id):
"""
Gets a single trace by its ID.
Args:
trace_id (str): ID of the trace to return.
project_id (str): Required. ID of the Cloud project where the trace
data is stored.
Returns:
A Trace dict.
... |
Returns of a list of traces that match the filter conditions. | def list_traces(
self,
project_id,
view=None,
page_size=None,
start_time=None,
end_time=None,
filter_=None,
order_by=None,
page_token=None,
):
"""
Returns of a list of traces that match the filter conditions.
Args:
... |
Convert a JSON bucket to the native object. | def _item_to_bucket(iterator, item):
"""Convert a JSON bucket to the native object.
:type iterator: :class:`~google.api_core.page_iterator.Iterator`
:param iterator: The iterator that has retrieved the item.
:type item: dict
:param item: An item to be converted to a bucket.
:rtype: :class:`.B... |
Factory: return client with anonymous credentials. | def create_anonymous_client(cls):
"""Factory: return client with anonymous credentials.
.. note::
Such a client has only limited access to "public" buckets:
listing their contents and downloading their blobs.
:rtype: :class:`google.cloud.storage.client.Client`
:r... |
Get the email address of the project s GCS service account | def get_service_account_email(self, project=None):
"""Get the email address of the project's GCS service account
:type project: str
:param project:
(Optional) Project ID to use for retreiving GCS service account
email address. Defaults to the client's project.
... |
Factory constructor for bucket object. | def bucket(self, bucket_name, user_project=None):
"""Factory constructor for bucket object.
.. note::
This will not make an HTTP request; it simply instantiates
a bucket object owned by this client.
:type bucket_name: str
:param bucket_name: The name of the bucket t... |
Get a bucket by name. | def get_bucket(self, bucket_name):
"""Get a bucket by name.
If the bucket isn't found, this will raise a
:class:`google.cloud.exceptions.NotFound`.
For example:
.. literalinclude:: snippets.py
:start-after: [START get_bucket]
:end-before: [END get_bucke... |
Create a new bucket. | def create_bucket(self, bucket_name, requester_pays=None, project=None):
"""Create a new bucket.
For example:
.. literalinclude:: snippets.py
:start-after: [START create_bucket]
:end-before: [END create_bucket]
This implements "storage.buckets.insert".
... |
Get all buckets in the project associated to the client. | def list_buckets(
self,
max_results=None,
page_token=None,
prefix=None,
projection="noAcl",
fields=None,
project=None,
):
"""Get all buckets in the project associated to the client.
This will not populate the list of blobs available in each
... |
Construct an ID for a new job. | def _make_job_id(job_id, prefix=None):
"""Construct an ID for a new job.
:type job_id: str or ``NoneType``
:param job_id: the user-provided job ID
:type prefix: str or ``NoneType``
:param prefix: (Optional) the user-provided prefix for a job ID
:rtype: str
:returns: A job ID
"""
i... |
Check that a stream was opened in read - binary mode. | def _check_mode(stream):
"""Check that a stream was opened in read-binary mode.
:type stream: IO[bytes]
:param stream: A bytes IO object open for reading.
:raises: :exc:`ValueError` if the ``stream.mode`` is a valid attribute
and is not among ``rb``, ``r+b`` or ``rb+``.
"""
mode =... |
Get the email address of the project s BigQuery service account | def get_service_account_email(self, project=None):
"""Get the email address of the project's BigQuery service account
Note:
This is the service account that BigQuery uses to manage tables
encrypted by a key in KMS.
Args:
project (str, optional):
... |
List projects for the project associated with this client. | def list_projects(self, max_results=None, page_token=None, retry=DEFAULT_RETRY):
"""List projects for the project associated with this client.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/projects/list
:type max_results: int
:param max_results: (Optional) maximu... |
List datasets for the project associated with this client. | def list_datasets(
self,
project=None,
include_all=False,
filter=None,
max_results=None,
page_token=None,
retry=DEFAULT_RETRY,
):
"""List datasets for the project associated with this client.
See
https://cloud.google.com/bigquery/docs/... |
Construct a reference to a dataset. | def dataset(self, dataset_id, project=None):
"""Construct a reference to a dataset.
:type dataset_id: str
:param dataset_id: ID of the dataset.
:type project: str
:param project: (Optional) project ID for the dataset (defaults to
the project of the clien... |
API call: create the dataset via a POST request. | def create_dataset(self, dataset, exists_ok=False, retry=DEFAULT_RETRY):
"""API call: create the dataset via a POST request.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/insert
Args:
dataset (Union[ \
:class:`~google.cloud.bigquery.dat... |
API call: create a table via a PUT request | def create_table(self, table, exists_ok=False, retry=DEFAULT_RETRY):
"""API call: create a table via a PUT request
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/insert
Args:
table (Union[ \
:class:`~google.cloud.bigquery.table.Table`, ... |
Fetch the dataset referenced by dataset_ref | def get_dataset(self, dataset_ref, retry=DEFAULT_RETRY):
"""Fetch the dataset referenced by ``dataset_ref``
Args:
dataset_ref (Union[ \
:class:`~google.cloud.bigquery.dataset.DatasetReference`, \
str, \
]):
A reference to the datas... |
[ Beta ] Fetch the model referenced by model_ref. | def get_model(self, model_ref, retry=DEFAULT_RETRY):
"""[Beta] Fetch the model referenced by ``model_ref``.
Args:
model_ref (Union[ \
:class:`~google.cloud.bigquery.model.ModelReference`, \
str, \
]):
A reference to the model to f... |
Fetch the table referenced by table. | def get_table(self, table, retry=DEFAULT_RETRY):
"""Fetch the table referenced by ``table``.
Args:
table (Union[ \
:class:`~google.cloud.bigquery.table.Table`, \
:class:`~google.cloud.bigquery.table.TableReference`, \
str, \
]):
... |
Change some fields of a dataset. | def update_dataset(self, dataset, fields, retry=DEFAULT_RETRY):
"""Change some fields of a dataset.
Use ``fields`` to specify which fields to update. At least one field
must be provided. If a field is listed in ``fields`` and is ``None`` in
``dataset``, it will be deleted.
If `... |
[ Beta ] Change some fields of a model. | def update_model(self, model, fields, retry=DEFAULT_RETRY):
"""[Beta] Change some fields of a model.
Use ``fields`` to specify which fields to update. At least one field
must be provided. If a field is listed in ``fields`` and is ``None``
in ``model``, it will be deleted.
If ``... |
Change some fields of a table. | def update_table(self, table, fields, retry=DEFAULT_RETRY):
"""Change some fields of a table.
Use ``fields`` to specify which fields to update. At least one field
must be provided. If a field is listed in ``fields`` and is ``None``
in ``table``, it will be deleted.
If ``table.e... |
[ Beta ] List models in the dataset. | def list_models(
self, dataset, max_results=None, page_token=None, retry=DEFAULT_RETRY
):
"""[Beta] List models in the dataset.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/models/list
Args:
dataset (Union[ \
:class:`~google.cloud... |
Delete a dataset. | def delete_dataset(
self, dataset, delete_contents=False, retry=DEFAULT_RETRY, not_found_ok=False
):
"""Delete a dataset.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/delete
Args
dataset (Union[ \
:class:`~google.cloud.bi... |
[ Beta ] Delete a model | def delete_model(self, model, retry=DEFAULT_RETRY, not_found_ok=False):
"""[Beta] Delete a model
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/models/delete
Args:
model (Union[ \
:class:`~google.cloud.bigquery.model.Model`, \
:... |
Delete a table | def delete_table(self, table, retry=DEFAULT_RETRY, not_found_ok=False):
"""Delete a table
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/delete
Args:
table (Union[ \
:class:`~google.cloud.bigquery.table.Table`, \
:class:`... |
Get the query results object for a query job. | def _get_query_results(
self, job_id, retry, project=None, timeout_ms=None, location=None
):
"""Get the query results object for a query job.
Arguments:
job_id (str): Name of the query job.
retry (google.api_core.retry.Retry):
(Optional) How to retry ... |
Detect correct job type from resource and instantiate. | def job_from_resource(self, resource):
"""Detect correct job type from resource and instantiate.
:type resource: dict
:param resource: one job resource from API response
:rtype: One of:
:class:`google.cloud.bigquery.job.LoadJob`,
:class:`google.cloud.big... |
Attempt to cancel a job from a job ID. | def cancel_job(self, job_id, project=None, location=None, retry=DEFAULT_RETRY):
"""Attempt to cancel a job from a job ID.
See
https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs/cancel
Arguments:
job_id (str): Unique job identifier.
Keyword Arguments:
... |
List jobs for the project associated with this client. | def list_jobs(
self,
project=None,
max_results=None,
page_token=None,
all_users=None,
state_filter=None,
retry=DEFAULT_RETRY,
min_creation_time=None,
max_creation_time=None,
):
"""List jobs for the project associated with this client.
... |
Starts a job for loading data into a table from CloudStorage. | def load_table_from_uri(
self,
source_uris,
destination,
job_id=None,
job_id_prefix=None,
location=None,
project=None,
job_config=None,
retry=DEFAULT_RETRY,
):
"""Starts a job for loading data into a table from CloudStorage.
Se... |
Upload the contents of this table from a file - like object. | def load_table_from_file(
self,
file_obj,
destination,
rewind=False,
size=None,
num_retries=_DEFAULT_NUM_RETRIES,
job_id=None,
job_id_prefix=None,
location=None,
project=None,
job_config=None,
):
"""Upload the contents o... |
Upload the contents of a table from a pandas DataFrame. | def load_table_from_dataframe(
self,
dataframe,
destination,
num_retries=_DEFAULT_NUM_RETRIES,
job_id=None,
job_id_prefix=None,
location=None,
project=None,
job_config=None,
):
"""Upload the contents of a table from a pandas DataFrame.
... |
Perform a resumable upload. | def _do_resumable_upload(self, stream, metadata, num_retries):
"""Perform a resumable upload.
:type stream: IO[bytes]
:param stream: A bytes IO object open for reading.
:type metadata: dict
:param metadata: The metadata associated with the upload.
:type num_retries: in... |
Initiate a resumable upload. | def _initiate_resumable_upload(self, stream, metadata, num_retries):
"""Initiate a resumable upload.
:type stream: IO[bytes]
:param stream: A bytes IO object open for reading.
:type metadata: dict
:param metadata: The metadata associated with the upload.
:type num_retr... |
Perform a multipart upload. | def _do_multipart_upload(self, stream, metadata, size, num_retries):
"""Perform a multipart upload.
:type stream: IO[bytes]
:param stream: A bytes IO object open for reading.
:type metadata: dict
:param metadata: The metadata associated with the upload.
:type size: int... |
Copy one or more tables to another table. | def copy_table(
self,
sources,
destination,
job_id=None,
job_id_prefix=None,
location=None,
project=None,
job_config=None,
retry=DEFAULT_RETRY,
):
"""Copy one or more tables to another table.
See
https://cloud.google.co... |
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