QuickSight / Client / create_refresh_schedule

create_refresh_schedule#

QuickSight.Client.create_refresh_schedule(**kwargs)#

Creates a refresh schedule for a dataset. You can create up to 5 different schedules for a single dataset.

See also: AWS API Documentation

Request Syntax

response = client.create_refresh_schedule(
    DataSetId='string',
    AwsAccountId='string',
    Schedule={
        'ScheduleId': 'string',
        'ScheduleFrequency': {
            'Interval': 'MINUTE15'|'MINUTE30'|'HOURLY'|'DAILY'|'WEEKLY'|'MONTHLY',
            'RefreshOnDay': {
                'DayOfWeek': 'SUNDAY'|'MONDAY'|'TUESDAY'|'WEDNESDAY'|'THURSDAY'|'FRIDAY'|'SATURDAY',
                'DayOfMonth': 'string'
            },
            'Timezone': 'string',
            'TimeOfTheDay': 'string'
        },
        'StartAfterDateTime': datetime(2015, 1, 1),
        'RefreshType': 'INCREMENTAL_REFRESH'|'FULL_REFRESH',
        'Arn': 'string'
    }
)
Parameters:

  • DataSetId (string) –

    [REQUIRED]

    The ID of the dataset.

  • AwsAccountId (string) –

    [REQUIRED]

    The Amazon Web Services account ID.

  • Schedule (dict) –

    [REQUIRED]

    The refresh schedule.

    • ScheduleId (string) – [REQUIRED]

      An identifier for the refresh schedule.

    • ScheduleFrequency (dict) – [REQUIRED]

      The frequency for the refresh schedule.

      • Interval (string) – [REQUIRED]

        The interval between scheduled refreshes. Valid values are as follows:

        • MINUTE15: The dataset refreshes every 15 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset.

        • MINUTE30:The dataset refreshes every 30 minutes. This value is only supported for incremental refreshes. This interval can only be used for one schedule per dataset.

        • HOURLY: The dataset refreshes every hour. This interval can only be used for one schedule per dataset.

        • DAILY: The dataset refreshes every day.

        • WEEKLY: The dataset refreshes every week.

        • MONTHLY: The dataset refreshes every month.

      • RefreshOnDay (dict) –

        The day of the week that you want to schedule the refresh on. This value is required for weekly and monthly refresh intervals.

        • DayOfWeek (string) –

          The day of the week that you want to schedule a refresh on.

        • DayOfMonth (string) –

          The day of the month that you want to schedule refresh on.

      • Timezone (string) –

        The timezone that you want the refresh schedule to use. The timezone ID must match a corresponding ID found on java.util.time.getAvailableIDs().

      • TimeOfTheDay (string) –

        The time of day that you want the datset to refresh. This value is expressed in HH:MM format. This field is not required for schedules that refresh hourly.

    • StartAfterDateTime (datetime) –

      Time after which the refresh schedule can be started, expressed in YYYY-MM-DDTHH:MM:SS format.

    • RefreshType (string) – [REQUIRED]

      The type of refresh that a datset undergoes. Valid values are as follows:

      • FULL_REFRESH: A complete refresh of a dataset.

      • INCREMENTAL_REFRESH: A partial refresh of some rows of a dataset, based on the time window specified.

      For more information on full and incremental refreshes, see Refreshing SPICE data in the Amazon QuickSight User Guide.

    • Arn (string) –

      The Amazon Resource Name (ARN) for the refresh schedule.

Return type:

dict

Returns:

Response Syntax

{
    'Status': 123,
    'RequestId': 'string',
    'ScheduleId': 'string',
    'Arn': 'string'
}

Response Structure

  • (dict) –

    • Status (integer) –

      The HTTP status of the request.

    • RequestId (string) –

      The Amazon Web Services request ID for this operation.

    • ScheduleId (string) –

      The ID of the refresh schedule.

    • Arn (string) –

      The Amazon Resource Name (ARN) for the refresh schedule.

Exceptions