list_data_table_primary_values
async
¶
list_data_table_primary_values(
instance_id: InstanceId,
data_table_id: DataTableId,
*,
config_overrides: Optional[AsyncConnectClientConfig] = None,
record_ids: Optional[RecordIds] = None,
primary_attribute_values: Optional[PrimaryAttributeValueFilters] = None,
next_token: Optional[NextToken] = None,
max_results: Optional[MaxResult1000] = None,
) -> ListDataTablePrimaryValuesResponse
Lists all primary value combinations for a given data table. Returns the unique combinations of primary attribute values that identify records in the table. Up to 100 records are returned per request.
Parameters:
-
instance_id(InstanceId) –The unique identifier for the Amazon Connect instance.
-
data_table_id(DataTableId) –The unique identifier for the data table whose primary values should be listed.
-
record_ids(Optional[RecordIds], default:None) –Optional list of specific record IDs to retrieve. Used for CloudFormation to effectively describe records by ID. If NextToken is provided, this parameter is ignored.
-
primary_attribute_values(Optional[PrimaryAttributeValueFilters], default:None) –Optional filter to retrieve primary values matching specific criteria.
-
next_token(Optional[NextToken], default:None) –Specify the pagination token from a previous request to retrieve the next page of results.
-
max_results(Optional[MaxResult1000], default:None) –The maximum number of data table primary values to return in one page of results.
Raises:
-
AccessDeniedException–You do not have sufficient permissions to perform this action.
-
InternalServiceException–Request processing failed because of an error or failure with the service.
-
InvalidParameterException–One or more of the specified parameters are not valid.
-
InvalidRequestException–The request is not valid.
-
ResourceNotFoundException–The specified resource was not found.
-
ThrottlingException–The throttling limit has been exceeded.
-
UnknownServiceError–The service returned an error code this client does not model.
Source code in docs_src/capo_connect/_services/async_connect.py
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