DataTransferServiceClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
The Google BigQuery Data Transfer Service API enables BigQuery users to configure the transfer of their data from other Google Products into BigQuery. This service contains methods that are end user exposed. It backs up the frontend.
Inheritance
builtins.object > google.cloud.bigquery_datatransfer_v1.gapic.data_transfer_service_client.DataTransferServiceClient > DataTransferServiceClientMethods
DataTransferServiceClient
DataTransferServiceClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Constructor.
Name | Description |
channel |
grpc.Channel
DEPRECATED. A |
credentials |
google.auth.credentials.Credentials
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to |
client_config |
dict
DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. |
client_info |
google.api_core.gapic_v1.client_info.ClientInfo
The client info used to send a user-agent string along with API requests. If |
client_options |
Union[dict, google.api_core.client_options.ClientOptions]
Client options used to set user options on the client. API Endpoint should be set through client_options. |
check_valid_creds
check_valid_creds(name, retry=<object object>, timeout=<object object>, metadata=None)
Returns true if valid credentials exist for the given data source and requesting user. Some data sources doesn't support service account, so we need to talk to them on behalf of the end user. This API just checks whether we have OAuth token for the particular user, which is a pre-requisite before user can create a transfer config.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_data_source_path('[PROJECT]', '[DATA_SOURCE]')
response = client.check_valid_creds(name)
Name | Description |
name |
str
The data source in the form: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_transfer_config
create_transfer_config(parent, transfer_config, authorization_code=None, version_info=None, retry=<object object>, timeout=<object object>, metadata=None)
Creates a new data transfer configuration.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_path('[PROJECT]')
TODO: Initialize
transfer_config
:transfer_config = {}
response = client.create_transfer_config(parent, transfer_config)
Name | Description |
parent |
str
The BigQuery project id where the transfer configuration should be created. Must be in the format projects/{project_id}/locations/{location_id} If specified location and location of the destination bigquery dataset do not match - the request will fail. |
transfer_config |
Union[dict, TransferConfig]
Data transfer configuration to create. If a dict is provided, it must be of the same form as the protobuf message TransferConfig |
authorization_code |
str
Optional OAuth2 authorization code to use with this transfer configuration. This is required if new credentials are needed, as indicated by |
version_info |
str
Optional version info. If users want to find a very recent access token, that is, immediately after approving access, users have to set the version_info claim in the token request. To obtain the version_info, users must use the "none+gsession" response type. which be return a version_info back in the authorization response which be be put in a JWT claim in the token request. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_transfer_config
delete_transfer_config(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes a data transfer configuration, including any associated transfer runs and logs.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_transfer_config_path('[PROJECT]', '[TRANSFER_CONFIG]')
client.delete_transfer_config(name)
Name | Description |
name |
str
The field will contain name of the resource requested, for example: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_transfer_run
delete_transfer_run(name, retry=<object object>, timeout=<object object>, metadata=None)
Deletes the specified transfer run.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_run_path('[PROJECT]', '[TRANSFER_CONFIG]', '[RUN]')
client.delete_transfer_run(name)
Name | Description |
name |
str
The field will contain name of the resource requested, for example: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
from_service_account_file
from_service_account_file(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DataTransferServiceClient | The constructed client. |
from_service_account_json
from_service_account_json(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
DataTransferServiceClient | The constructed client. |
get_data_source
get_data_source(name, retry=<object object>, timeout=<object object>, metadata=None)
Retrieves a supported data source and returns its settings, which can be used for UI rendering.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_data_source_path('[PROJECT]', '[DATA_SOURCE]')
response = client.get_data_source(name)
Name | Description |
name |
str
The field will contain name of the resource requested, for example: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_transfer_config
get_transfer_config(name, retry=<object object>, timeout=<object object>, metadata=None)
Returns information about a data transfer config.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_transfer_config_path('[PROJECT]', '[TRANSFER_CONFIG]')
response = client.get_transfer_config(name)
Name | Description |
name |
str
The field will contain name of the resource requested, for example: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
get_transfer_run
get_transfer_run(name, retry=<object object>, timeout=<object object>, metadata=None)
Returns information about the particular transfer run.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
name = client.project_run_path('[PROJECT]', '[TRANSFER_CONFIG]', '[RUN]')
response = client.get_transfer_run(name)
Name | Description |
name |
str
The field will contain name of the resource requested, for example: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_data_sources
list_data_sources(parent, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)
Lists supported data sources and returns their settings, which can be used for UI rendering.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_path('[PROJECT]')
Iterate over all results
for element in client.list_data_sources(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_data_sources(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
The BigQuery project id for which data sources should be returned. Must be in the form: |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_transfer_configs
list_transfer_configs(parent, data_source_ids=None, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)
Returns information about all data transfers in the project.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_path('[PROJECT]')
Iterate over all results
for element in client.list_transfer_configs(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_transfer_configs(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
The BigQuery project id for which data sources should be returned: |
data_source_ids |
list[str]
When specified, only configurations of requested data sources are returned. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_transfer_logs
list_transfer_logs(parent, page_size=None, message_types=None, retry=<object object>, timeout=<object object>, metadata=None)
Returns user facing log messages for the data transfer run.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_run_path('[PROJECT]', '[TRANSFER_CONFIG]', '[RUN]')
Iterate over all results
for element in client.list_transfer_logs(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_transfer_logs(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Transfer run name in the form: |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
message_types |
list[MessageSeverity]
Message types to return. If not populated - INFO, WARNING and ERROR messages are returned. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_transfer_runs
list_transfer_runs(parent, states=None, page_size=None, run_attempt=None, retry=<object object>, timeout=<object object>, metadata=None)
Returns information about running and completed jobs.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_transfer_config_path('[PROJECT]', '[TRANSFER_CONFIG]')
Iterate over all results
for element in client.list_transfer_runs(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_transfer_runs(parent).pages: ... for element in page: ... # process element ... pass
Name | Description |
parent |
str
Name of transfer configuration for which transfer runs should be retrieved. Format of transfer configuration resource name is: |
states |
list[TransferState]
When specified, only transfer runs with requested states are returned. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
run_attempt |
RunAttempt
Indicates how run attempts are to be pulled. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
location_data_source_path
location_data_source_path(project, location, data_source)
Return a fully-qualified location_data_source string.
location_path
location_path(project, location)
Return a fully-qualified location string.
location_run_path
location_run_path(project, location, transfer_config, run)
Return a fully-qualified location_run string.
location_transfer_config_path
location_transfer_config_path(project, location, transfer_config)
Return a fully-qualified location_transfer_config string.
project_data_source_path
project_data_source_path(project, data_source)
Return a fully-qualified project_data_source string.
project_path
project_path(project)
Return a fully-qualified project string.
project_run_path
project_run_path(project, transfer_config, run)
Return a fully-qualified project_run string.
project_transfer_config_path
project_transfer_config_path(project, transfer_config)
Return a fully-qualified project_transfer_config string.
schedule_transfer_runs
schedule_transfer_runs(parent, start_time, end_time, retry=<object object>, timeout=<object object>, metadata=None)
Creates transfer runs for a time range [start_time, end_time]. For each date - or whatever granularity the data source supports - in the range, one transfer run is created. Note that runs are created per UTC time in the time range. DEPRECATED: use StartManualTransferRuns instead.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
parent = client.project_transfer_config_path('[PROJECT]', '[TRANSFER_CONFIG]')
TODO: Initialize
start_time
:start_time = {}
TODO: Initialize
end_time
:end_time = {}
response = client.schedule_transfer_runs(parent, start_time, end_time)
Name | Description |
parent |
str
Transfer configuration name in the form: |
start_time |
Union[dict, Timestamp]
Start time of the range of transfer runs. For example, |
end_time |
Union[dict, Timestamp]
End time of the range of transfer runs. For example, |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
start_manual_transfer_runs
start_manual_transfer_runs(parent=None, requested_time_range=None, requested_run_time=None, retry=<object object>, timeout=<object object>, metadata=None)
Start manual transfer runs to be executed now with schedule_time equal to current time. The transfer runs can be created for a time range where the run_time is between start_time (inclusive) and end_time (exclusive), or for a specific run_time.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
response = client.start_manual_transfer_runs()
Name | Description |
parent |
str
Transfer configuration name in the form: |
requested_time_range |
Union[dict, TimeRange]
Time range for the transfer runs that should be started. If a dict is provided, it must be of the same form as the protobuf message TimeRange |
requested_run_time |
Union[dict, Timestamp]
Specific run_time for a transfer run to be started. The requested_run_time must not be in the future. If a dict is provided, it must be of the same form as the protobuf message Timestamp |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
update_transfer_config
update_transfer_config(transfer_config, update_mask, authorization_code=None, version_info=None, retry=<object object>, timeout=<object object>, metadata=None)
Updates a data transfer configuration. All fields must be set, even if they are not updated.
.. rubric:: Example
from google.cloud import bigquery_datatransfer_v1
client = bigquery_datatransfer_v1.DataTransferServiceClient()
TODO: Initialize
transfer_config
:transfer_config = {}
TODO: Initialize
update_mask
:update_mask = {}
response = client.update_transfer_config(transfer_config, update_mask)
Name | Description |
transfer_config |
Union[dict, TransferConfig]
Data transfer configuration to create. If a dict is provided, it must be of the same form as the protobuf message TransferConfig |
update_mask |
Union[dict, FieldMask]
Required list of fields to be updated in this request. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
authorization_code |
str
Optional OAuth2 authorization code to use with this transfer configuration. If it is provided, the transfer configuration will be associated with the authorizing user. In order to obtain authorization_code, please make a request to https://www.gstatic.com/bigquerydatatransfer/oauthz/auth?client_id=&scope=<data_source_scopes>&redirect_uri=<redirect_uri> - client_id should be OAuth client_id of BigQuery DTS API for the given data source returned by ListDataSources method. - data_source_scopes are the scopes returned by ListDataSources method. - redirect_uri is an optional parameter. If not specified, then authorization code is posted to the opener of authorization flow window. Otherwise it will be sent to the redirect uri. A special value of urn:ietf:wg:oauth:2.0:oob means that authorization code should be returned in the title bar of the browser, with the page text prompting the user to copy the code and paste it in the application. |
version_info |
str
Optional version info. If users want to find a very recent access token, that is, immediately after approving access, users have to set the version_info claim in the token request. To obtain the version_info, users must use the "none+gsession" response type. which be return a version_info back in the authorization response which be be put in a JWT claim in the token request. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |