Unique job identifier.

Table or tables to be copied.

Table into which data is to be copied.

ADataset to create. Ifdataset is a reference, an empty dataset is created with the specified ID and client's default location.

Defaults toFalse. IfTrue, ignore "already exists" errors when creating the dataset.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

configuration job representation returned from the API.

ARoutine to create. The dataset that the routine belongs to must already exist.

Defaults toFalse. IfTrue, ignore "already exists" errors when creating the routine.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

ATable to create. Iftable is a reference, an empty table is created with the specified ID. The dataset that the table belongs to must already exist.

Defaults toFalse. IfTrue, ignore "already exists" errors when creating the table.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

A reference to the dataset to delete. If a string is passed in, this method attempts to create a dataset reference from a string usingfrom_string.

If True, delete all the tables in the dataset. If False and the dataset contains tables, the request will fail. Default is False.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Defaults toFalse. IfTrue, ignore "not found" errors when deleting the dataset.

A reference to the model to delete. If a string is passed in, this method attempts to create a model reference from a string usingfrom_string.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Defaults toFalse. IfTrue, ignore "not found" errors when deleting the model.

A reference to the routine to delete. If a string is passed in, this method attempts to create a routine reference from a string usingfrom_string.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Defaults toFalse. IfTrue, ignore "not found" errors when deleting the routine.

A reference to the table to delete. If a string is passed in, this method attempts to create a table reference from a string usingfrom_string.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Defaults toFalse. IfTrue, ignore "not found" errors when deleting the table.

Table or Model to be extracted.

URIs of Cloud Storage file(s) into which table data is to be extracted; in formatgs://<bucket_name>/<object_name_or_glob>.

Remaining positional arguments to pass to constructor.

The JSON object with a private key and other credentials information (downloaded from the Google APIs console).

Remaining positional arguments to pass to constructor.

The path to a private key file (this file was given to you when you created the service account). This file must contain a JSON object with a private key and other credentials information (downloaded from the Google APIs console).

A reference to the dataset to fetch from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string usingfrom_string.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Unique job identifier.

A reference to the model to fetch from the BigQuery API. If a string is passed in, this method attempts to create a model reference from a string usingfrom_string.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

A reference to the routine to fetch from the BigQuery API. If a string is passed in, this method attempts to create a reference from a string usingfrom_string.

How to retry the API call.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Keyword arguments toinsert_rows_json.

The destination table for the row data, or a reference to it.

Row data to be inserted. If a list of tuples is given, each tuple should contain data for each schema field on the current table and in the same order as the schema fields. If a list of dictionaries is given, the keys must include all required fields in the schema. Keys which do not correspond to a field in the schema are ignored.

The fields to return. Required iftable is aTableReference.

Keyword arguments toinsert_rows_json.

The destination table for the row data, or a reference to it.

Apandas.DataFrame containing the data to load. AnyNaN values present in the dataframe are omitted from the streaming API request(s).

The fields to return. Required iftable is aTableReference.

The number of rows to stream in a single chunk. Must be positive.

The destination table for the row data, or a reference to it.

Row data to be inserted. Keys must match the table schema fields and values must be JSON-compatible representations.

Unique IDs, one per row being inserted. An ID can also beNone, indicating that an explicit insert ID shouldnot be used for that row. If the argument is omitted altogether, unique IDs are created automatically.

Insert all valid rows of a request, even if invalid rows exist. The default value isFalse, which causes the entire request to fail if any invalid rows exist.

Accept rows that contain values that do not match the schema. The unknown values are ignored. Default isFalse, which treats unknown values as errors.

Treatname as a template table and provide a suffix. BigQuery will create the table<name> + <template_suffix> based on the schema of the template table. Seehttps://cloud.google.com/bigquery/streaming-data-into-bigquery#template-tables

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

one job resource from API response

Project ID to use for retreiving datasets. Defaults to the client's project.

True if results include hidden datasets. Defaults to False.

An expression for filtering the results by label. For syntax, seehttps://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/list#body.QUERY_PARAMETERS.filter

Maximum number of datasets to return.

Token representing a cursor into the datasets. If not passed, the API will return the first page of datasets. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token of thegoogle.api_core.page_iterator.HTTPIterator.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Project ID to use for retreiving datasets. Defaults to the client's project.

If set, retrieve only child jobs of the specified parent.

Maximum number of jobs to return.

Opaque marker for the next "page" of jobs. If not passed, the API will return the first page of jobs. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token ofgoogle.api_core.page_iterator.HTTPIterator.

If true, include jobs owned by all users in the project. Defaults to :data:False.

If set, include only jobs matching the given state. One of: *"done" *"pending" *"running"

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Min value for job creation time. If set, only jobs created after or at this timestamp are returned. If the datetime has no time zone assumes UTC time.

Max value for job creation time. If set, only jobs created before or at this timestamp are returned. If the datetime has no time zone assumes UTC time.

A reference to the dataset whose models to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string usingfrom_string.

Maximum number of models to return. If not passed, defaults to a value set by the API.

Token representing a cursor into the models. If not passed, the API will return the first page of models. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token of thegoogle.api_core.page_iterator.HTTPIterator.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

The table or reference from which to get partition info

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry. If multiple requests are made under the hood,timeout applies to each individual request.

Maximum number of projects to return, If not passed, defaults to a value set by the API.

Token representing a cursor into the projects. If not passed, the API will return the first page of projects. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token of thegoogle.api_core.page_iterator.HTTPIterator.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

A reference to the dataset whose routines to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string usingfrom_string.

Maximum number of routines to return. If not passed, defaults to a value set by the API.

Token representing a cursor into the routines. If not passed, the API will return the first page of routines. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token of thegoogle.api_core.page_iterator.HTTPIterator.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

A reference to the dataset whose tables to list from the BigQuery API. If a string is passed in, this method attempts to create a dataset reference from a string usingfrom_string.

Maximum number of tables to return. If not passed, defaults to a value set by the API.

Token representing a cursor into the tables. If not passed, the API will return the first page of tables. The token marks the beginning of the iterator to be returned and the value of thepage_token can be accessed atnext_page_token of thegoogle.api_core.page_iterator.HTTPIterator.

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

Apandas.DataFrame containing the data to load.

The destination table to use for loading the data. If it is an existing table, the schema of thepandas.DataFrame must match the schema of the destination table. If the table does not yet exist, the schema is inferred from thepandas.DataFrame. If a string is passed in, this method attempts to create a table reference from a string usingfrom_string.

A file handle opened in binary mode for reading.

Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string usingfrom_string.

Row data to be inserted. Keys must match the table schema fields and values must be JSON-compatible representations. .. note:: If your data is already a newline-delimited JSON string, it is best to wrap it into a file-like object and pass it toload_table_from_file:: import io from google.cloud import bigquery data = u'{"foo": "bar"}' data_as_file = io.StringIO(data) client = bigquery.Client() client.load_table_from_file(data_as_file, ...)

Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string usingfrom_string.

URIs of data files to be loaded; in formatgs://<bucket_name>/<object_name_or_glob>.

Table into which data is to be loaded. If a string is passed in, this method attempts to create a table reference from a string usingfrom_string.

SQL query to be executed. Defaults to the standard SQL dialect. Use thejob_config parameter to change dialects.

The dataset to update.

The properties ofdataset to change (e.g. "friendly_name").

How to retry the RPC.

The number of seconds to wait for the underlying HTTP transport before usingretry.

The model to update.

The fields ofmodel to change, spelled as the Model properties (e.g. "friendly_name").

A description of how to retry the API call.

The number of seconds to wait for the underlying HTTP transport before usingretry.