#[non_exhaustive]
pub struct ScheduledTriggerProperties { pub schedule_expression: Option<String>, pub data_pull_mode: Option<DataPullMode>, pub schedule_start_time: Option<DateTime>, pub schedule_end_time: Option<DateTime>, pub timezone: Option<String>, pub schedule_offset: Option<i64>, pub first_execution_from: Option<DateTime>, pub flow_error_deactivation_threshold: Option<i32>, }
Expand description

Specifies the configuration details of a schedule-triggered flow as defined by the user. Currently, these settings only apply to the Scheduled trigger type.

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
schedule_expression: Option<String>

The scheduling expression that determines the rate at which the schedule will run, for example rate(5minutes).

data_pull_mode: Option<DataPullMode>

Specifies whether a scheduled flow has an incremental data transfer or a complete data transfer for each flow run.

schedule_start_time: Option<DateTime>

The time at which the scheduled flow starts. The time is formatted as a timestamp that follows the ISO 8601 standard, such as 2022-04-26T13:00:00-07:00.

schedule_end_time: Option<DateTime>

The time at which the scheduled flow ends. The time is formatted as a timestamp that follows the ISO 8601 standard, such as 2022-04-27T13:00:00-07:00.

timezone: Option<String>

Specifies the time zone used when referring to the dates and times of a scheduled flow, such as America/New_York. This time zone is only a descriptive label. It doesn't affect how Amazon AppFlow interprets the timestamps that you specify to schedule the flow.

If you want to schedule a flow by using times in a particular time zone, indicate the time zone as a UTC offset in your timestamps. For example, the UTC offsets for the America/New_York timezone are -04:00 EDT and -05:00 EST.

schedule_offset: Option<i64>

Specifies the optional offset that is added to the time interval for a schedule-triggered flow.

first_execution_from: Option<DateTime>

Specifies the date range for the records to import from the connector in the first flow run.

flow_error_deactivation_threshold: Option<i32>

Defines how many times a scheduled flow fails consecutively before Amazon AppFlow deactivates it.

Implementations

The scheduling expression that determines the rate at which the schedule will run, for example rate(5minutes).

Specifies whether a scheduled flow has an incremental data transfer or a complete data transfer for each flow run.

The time at which the scheduled flow starts. The time is formatted as a timestamp that follows the ISO 8601 standard, such as 2022-04-26T13:00:00-07:00.

The time at which the scheduled flow ends. The time is formatted as a timestamp that follows the ISO 8601 standard, such as 2022-04-27T13:00:00-07:00.

Specifies the time zone used when referring to the dates and times of a scheduled flow, such as America/New_York. This time zone is only a descriptive label. It doesn't affect how Amazon AppFlow interprets the timestamps that you specify to schedule the flow.

If you want to schedule a flow by using times in a particular time zone, indicate the time zone as a UTC offset in your timestamps. For example, the UTC offsets for the America/New_York timezone are -04:00 EDT and -05:00 EST.

Specifies the optional offset that is added to the time interval for a schedule-triggered flow.

Specifies the date range for the records to import from the connector in the first flow run.

Defines how many times a scheduled flow fails consecutively before Amazon AppFlow deactivates it.

Creates a new builder-style object to manufacture ScheduledTriggerProperties

Trait Implementations

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