airflow/contrib/hooks/bigquery_hook.py
def create_empty_table(self,
                           project_id,
                           dataset_id,
                           table_id,
                           schema_fields=None,
                           time_partitioning=None,
                           cluster_fields=None,
                           labels=None,
                           view=None,
                           num_retries=None):
        """
        Creates a new, empty table in the dataset.
        To create a view, which is defined by a SQL query, parse a dictionary to 'view' kwarg

        :param project_id: The project to create the table into.
        :type project_id: str
        :param dataset_id: The dataset to create the table into.
        :type dataset_id: str
        :param table_id: The Name of the table to be created.
        :type table_id: str
        :param schema_fields: If set, the schema field list as defined here:
            https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema
        :type schema_fields: list
        :param labels: a dictionary containing labels for the table, passed to BigQuery
        :type labels: dict

        **Example**: ::

            schema_fields=[{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
                           {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}]

        :param time_partitioning: configure optional time partitioning fields i.e.
            partition by field, type and expiration as per API specifications.

            .. seealso::
                https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#timePartitioning
        :type time_partitioning: dict
        :param cluster_fields: [Optional] The fields used for clustering.
            Must be specified with time_partitioning, data in the table will be first
            partitioned and subsequently clustered.
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#clustering.fields
        :type cluster_fields: list
        :param view: [Optional] A dictionary containing definition for the view.
            If set, it will create a view instead of a table:
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#view
        :type view: dict

        **Example**: ::

            view = {
                "query": "SELECT * FROM `test-project-id.test_dataset_id.test_table_prefix*` LIMIT 1000",
                "useLegacySql": False
            }

        :return: None
        """

        project_id = project_id if project_id is not None else self.project_id

        table_resource = {
            'tableReference': {
                'tableId': table_id
            }
        }

        if schema_fields:
            table_resource['schema'] = {'fields': schema_fields}

        if time_partitioning:
            table_resource['timePartitioning'] = time_partitioning

        if cluster_fields:
            table_resource['clustering'] = {
                'fields': cluster_fields
            }

        if labels:
            table_resource['labels'] = labels

        if view:
            table_resource['view'] = view

        num_retries = num_retries if num_retries else self.num_retries

        self.log.info('Creating Table %s:%s.%s',
                      project_id, dataset_id, table_id)

        try:
            self.service.tables().insert(
                projectId=project_id,
                datasetId=dataset_id,
                body=table_resource).execute(num_retries=num_retries)

            self.log.info('Table created successfully: %s:%s.%s',
                          project_id, dataset_id, table_id)

        except HttpError as err:
            raise AirflowException(
                'BigQuery job failed. Error was: {}'.format(err.content)
            )
def create_empty_table(self,
                           project_id,
                           dataset_id,
                           table_id,
                           schema_fields=None,
                           time_partitioning=None,
                           cluster_fields=None,
                           labels=None,
                           view=None,
                           num_retries=None):
        project_id = project_id if project_id is not None else self.project_id

        table_resource = {
            'tableReference': {
                'tableId': table_id
            }
        }

        if schema_fields:
            table_resource['schema'] = {'fields': schema_fields}

        if time_partitioning:
            table_resource['timePartitioning'] = time_partitioning

        if cluster_fields:
            table_resource['clustering'] = {
                'fields': cluster_fields
            }

        if labels:
            table_resource['labels'] = labels

        if view:
            table_resource['view'] = view

        num_retries = num_retries if num_retries else self.num_retries

        self.log.info('Creating Table %s:%s.%s',
                      project_id, dataset_id, table_id)

        try:
            self.service.tables().insert(
                projectId=project_id,
                datasetId=dataset_id,
                body=table_resource).execute(num_retries=num_retries)

            self.log.info('Table created successfully: %s:%s.%s',
                          project_id, dataset_id, table_id)

        except HttpError as err:
            raise AirflowException(
                'BigQuery job failed. Error was: {}'.format(err.content)
            )
def create_empty_table ( self , project_id , dataset_id , table_id , schema_fields = None , time_partitioning = None , cluster_fields = None , labels = None , view = None , num_retries = None ) : project_id = project_id if project_id is not None else self . project_id table_resource = { 'tableReference' : { 'tableId' : table_id } } if schema_fields : table_resource [ 'schema' ] = { 'fields' : schema_fields } if time_partitioning : table_resource [ 'timePartitioning' ] = time_partitioning if cluster_fields : table_resource [ 'clustering' ] = { 'fields' : cluster_fields } if labels : table_resource [ 'labels' ] = labels if view : table_resource [ 'view' ] = view num_retries = num_retries if num_retries else self . num_retries self . log . info ( 'Creating Table %s:%s.%s' , project_id , dataset_id , table_id ) try : self . service . tables ( ) . insert ( projectId = project_id , datasetId = dataset_id , body = table_resource ) . execute ( num_retries = num_retries ) self . log . info ( 'Table created successfully: %s:%s.%s' , project_id , dataset_id , table_id ) except HttpError as err : raise AirflowException ( 'BigQuery job failed. Error was: {}' . format ( err . content ) )
Creates a new, empty table in the dataset.
        To create a view, which is defined by a SQL query, parse a dictionary to 'view' kwarg

        :param project_id: The project to create the table into.
        :type project_id: str
        :param dataset_id: The dataset to create the table into.
        :type dataset_id: str
        :param table_id: The Name of the table to be created.
        :type table_id: str
        :param schema_fields: If set, the schema field list as defined here:
            https://cloud.google.com/bigquery/docs/reference/rest/v2/jobs#configuration.load.schema
        :type schema_fields: list
        :param labels: a dictionary containing labels for the table, passed to BigQuery
        :type labels: dict

        **Example**: ::

            schema_fields=[{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
                           {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}]

        :param time_partitioning: configure optional time partitioning fields i.e.
            partition by field, type and expiration as per API specifications.

            .. seealso::
                https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#timePartitioning
        :type time_partitioning: dict
        :param cluster_fields: [Optional] The fields used for clustering.
            Must be specified with time_partitioning, data in the table will be first
            partitioned and subsequently clustered.
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#clustering.fields
        :type cluster_fields: list
        :param view: [Optional] A dictionary containing definition for the view.
            If set, it will create a view instead of a table:
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#view
        :type view: dict

        **Example**: ::

            view = {
                "query": "SELECT * FROM `test-project-id.test_dataset_id.test_table_prefix*` LIMIT 1000",
                "useLegacySql": False
            }

        :return: None
Creates a new empty table in the dataset . To create a view which is defined by a SQL query parse a dictionary to view kwarg