Struct DescribeClassificationJobOutput 

#[non_exhaustive]
pub struct DescribeClassificationJobOutput {

    pub allow_list_ids: Option<Vec<String>>,
    pub client_token: Option<String>,
    pub created_at: Option<DateTime>,
    pub custom_data_identifier_ids: Option<Vec<String>>,
    pub description: Option<String>,
    pub initial_run: Option<bool>,
    pub job_arn: Option<String>,
    pub job_id: Option<String>,
    pub job_status: Option<JobStatus>,
    pub job_type: Option<JobType>,
    pub last_run_error_status: Option<LastRunErrorStatus>,
    pub last_run_time: Option<DateTime>,
    pub managed_data_identifier_ids: Option<Vec<String>>,
    pub managed_data_identifier_selector: Option<ManagedDataIdentifierSelector>,
    pub name: Option<String>,
    pub s3_job_definition: Option<S3JobDefinition>,
    pub sampling_percentage: Option<i32>,
    pub schedule_frequency: Option<JobScheduleFrequency>,
    pub statistics: Option<Statistics>,
    pub tags: Option<HashMap<String, String>>,
    pub user_paused_details: Option<UserPausedDetails>,
    /* private fields */
}

Fields (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.

allow_list_ids: Option<Vec<String>>

An array of unique identifiers, one for each allow list that the job is configured to use when it analyzes data.

client_token: Option<String>

The token that was provided to ensure the idempotency of the request to create the job.

created_at: Option<DateTime>

The date and time, in UTC and extended ISO 8601 format, when the job was created.

custom_data_identifier_ids: Option<Vec<String>>

An array of unique identifiers, one for each custom data identifier that the job is configured to use when it analyzes data. This value is null if the job is configured to use only managed data identifiers to analyze data.

description: Option<String>

The custom description of the job.

initial_run: Option<bool>

For a recurring job, specifies whether you configured the job to analyze all existing, eligible objects immediately after the job was created (true). If you configured the job to analyze only those objects that were created or changed after the job was created and before the job's first scheduled run, this value is false. This value is also false for a one-time job.

job_arn: Option<String>

The Amazon Resource Name (ARN) of the job.

job_id: Option<String>

The unique identifier for the job.

job_status: Option<JobStatus>

The current status of the job. Possible values are:

• CANCELLED - You cancelled the job or, if it's a one-time job, you paused the job and didn't resume it within 30 days.

• COMPLETE - For a one-time job, Amazon Macie finished processing the data specified for the job. This value doesn't apply to recurring jobs.

• IDLE - For a recurring job, the previous scheduled run is complete and the next scheduled run is pending. This value doesn't apply to one-time jobs.

• PAUSED - Macie started running the job but additional processing would exceed the monthly sensitive data discovery quota for your account or one or more member accounts that the job analyzes data for.

• RUNNING - For a one-time job, the job is in progress. For a recurring job, a scheduled run is in progress.

• USER_PAUSED - You paused the job. If you paused the job while it had a status of RUNNING and you don't resume it within 30 days of pausing it, the job or job run will expire and be cancelled, depending on the job's type. To check the expiration date, refer to the UserPausedDetails.jobExpiresAt property.

job_type: Option<JobType>

The schedule for running the job. Possible values are:

• ONE_TIME - The job runs only once.

• SCHEDULED - The job runs on a daily, weekly, or monthly basis. The scheduleFrequency property indicates the recurrence pattern for the job.

last_run_error_status: Option<LastRunErrorStatus>

Specifies whether any account- or bucket-level access errors occurred when the job ran. For a recurring job, this value indicates the error status of the job's most recent run.

last_run_time: Option<DateTime>

The date and time, in UTC and extended ISO 8601 format, when the job started. If the job is a recurring job, this value indicates when the most recent run started or, if the job hasn't run yet, when the job was created.

managed_data_identifier_ids: Option<Vec<String>>

An array of unique identifiers, one for each managed data identifier that the job is explicitly configured to include (use) or exclude (not use) when it analyzes data. Inclusion or exclusion depends on the managed data identifier selection type specified for the job (managedDataIdentifierSelector).

This value is null if the job's managed data identifier selection type is ALL, NONE, or RECOMMENDED.

managed_data_identifier_selector: Option<ManagedDataIdentifierSelector>

The selection type that determines which managed data identifiers the job uses when it analyzes data. Possible values are:

• ALL - Use all managed data identifiers.

• EXCLUDE - Use all managed data identifiers except the ones specified by the managedDataIdentifierIds property.

• INCLUDE - Use only the managed data identifiers specified by the managedDataIdentifierIds property.

• NONE - Don't use any managed data identifiers. Use only custom data identifiers (customDataIdentifierIds).

• RECOMMENDED (default) - Use the recommended set of managed data identifiers.

If this value is null, the job uses the recommended set of managed data identifiers.

If the job is a recurring job and this value is ALL or EXCLUDE, each job run automatically uses new managed data identifiers that are released. If this value is null or RECOMMENDED for a recurring job, each job run uses all the managed data identifiers that are in the recommended set when the run starts.

To learn about individual managed data identifiers or determine which ones are in the recommended set, see Using managed data identifiers or Recommended managed data identifiers in the Amazon Macie User Guide.

name: Option<String>

The custom name of the job.

s3_job_definition: Option<S3JobDefinition>

The S3 buckets that contain the objects to analyze, and the scope of that analysis.

sampling_percentage: Option<i32>

The sampling depth, as a percentage, that determines the percentage of eligible objects that the job analyzes.

schedule_frequency: Option<JobScheduleFrequency>

The recurrence pattern for running the job. This value is null if the job is configured to run only once.

statistics: Option<Statistics>

The number of times that the job has run and processing statistics for the job's current run.

tags: Option<HashMap<String, String>>

A map of key-value pairs that specifies which tags (keys and values) are associated with the job.

user_paused_details: Option<UserPausedDetails>

If the current status of the job is USER_PAUSED, specifies when the job was paused and when the job or job run will expire and be cancelled if it isn't resumed. This value is present only if the value for jobStatus is USER_PAUSED.

Implementations

impl DescribeClassificationJobOutput

pub fn allow_list_ids(&self) -> &[String]

An array of unique identifiers, one for each allow list that the job is configured to use when it analyzes data.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .allow_list_ids.is_none().

pub fn client_token(&self) -> Option<&str>

The token that was provided to ensure the idempotency of the request to create the job.

pub fn created_at(&self) -> Option<&DateTime>

The date and time, in UTC and extended ISO 8601 format, when the job was created.

pub fn custom_data_identifier_ids(&self) -> &[String]

An array of unique identifiers, one for each custom data identifier that the job is configured to use when it analyzes data. This value is null if the job is configured to use only managed data identifiers to analyze data.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .custom_data_identifier_ids.is_none().

pub fn description(&self) -> Option<&str>

The custom description of the job.

pub fn initial_run(&self) -> Option<bool>

For a recurring job, specifies whether you configured the job to analyze all existing, eligible objects immediately after the job was created (true). If you configured the job to analyze only those objects that were created or changed after the job was created and before the job's first scheduled run, this value is false. This value is also false for a one-time job.

pub fn job_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the job.

pub fn job_id(&self) -> Option<&str>

The unique identifier for the job.

pub fn job_status(&self) -> Option<&JobStatus>

The current status of the job. Possible values are:

• CANCELLED - You cancelled the job or, if it's a one-time job, you paused the job and didn't resume it within 30 days.

• COMPLETE - For a one-time job, Amazon Macie finished processing the data specified for the job. This value doesn't apply to recurring jobs.

• IDLE - For a recurring job, the previous scheduled run is complete and the next scheduled run is pending. This value doesn't apply to one-time jobs.

• PAUSED - Macie started running the job but additional processing would exceed the monthly sensitive data discovery quota for your account or one or more member accounts that the job analyzes data for.

• RUNNING - For a one-time job, the job is in progress. For a recurring job, a scheduled run is in progress.

• USER_PAUSED - You paused the job. If you paused the job while it had a status of RUNNING and you don't resume it within 30 days of pausing it, the job or job run will expire and be cancelled, depending on the job's type. To check the expiration date, refer to the UserPausedDetails.jobExpiresAt property.

pub fn job_type(&self) -> Option<&JobType>

The schedule for running the job. Possible values are:

• ONE_TIME - The job runs only once.

• SCHEDULED - The job runs on a daily, weekly, or monthly basis. The scheduleFrequency property indicates the recurrence pattern for the job.

pub fn last_run_error_status(&self) -> Option<&LastRunErrorStatus>

Specifies whether any account- or bucket-level access errors occurred when the job ran. For a recurring job, this value indicates the error status of the job's most recent run.

pub fn last_run_time(&self) -> Option<&DateTime>

The date and time, in UTC and extended ISO 8601 format, when the job started. If the job is a recurring job, this value indicates when the most recent run started or, if the job hasn't run yet, when the job was created.

pub fn managed_data_identifier_ids(&self) -> &[String]

An array of unique identifiers, one for each managed data identifier that the job is explicitly configured to include (use) or exclude (not use) when it analyzes data. Inclusion or exclusion depends on the managed data identifier selection type specified for the job (managedDataIdentifierSelector).

This value is null if the job's managed data identifier selection type is ALL, NONE, or RECOMMENDED.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .managed_data_identifier_ids.is_none().

pub fn managed_data_identifier_selector( &self, ) -> Option<&ManagedDataIdentifierSelector>

The selection type that determines which managed data identifiers the job uses when it analyzes data. Possible values are:

• ALL - Use all managed data identifiers.

• EXCLUDE - Use all managed data identifiers except the ones specified by the managedDataIdentifierIds property.

• INCLUDE - Use only the managed data identifiers specified by the managedDataIdentifierIds property.

• NONE - Don't use any managed data identifiers. Use only custom data identifiers (customDataIdentifierIds).

• RECOMMENDED (default) - Use the recommended set of managed data identifiers.

If this value is null, the job uses the recommended set of managed data identifiers.

If the job is a recurring job and this value is ALL or EXCLUDE, each job run automatically uses new managed data identifiers that are released. If this value is null or RECOMMENDED for a recurring job, each job run uses all the managed data identifiers that are in the recommended set when the run starts.

To learn about individual managed data identifiers or determine which ones are in the recommended set, see Using managed data identifiers or Recommended managed data identifiers in the Amazon Macie User Guide.

pub fn name(&self) -> Option<&str>

The custom name of the job.

pub fn s3_job_definition(&self) -> Option<&S3JobDefinition>

The S3 buckets that contain the objects to analyze, and the scope of that analysis.

pub fn sampling_percentage(&self) -> Option<i32>

The sampling depth, as a percentage, that determines the percentage of eligible objects that the job analyzes.

pub fn schedule_frequency(&self) -> Option<&JobScheduleFrequency>

The recurrence pattern for running the job. This value is null if the job is configured to run only once.

pub fn statistics(&self) -> Option<&Statistics>

The number of times that the job has run and processing statistics for the job's current run.

pub fn tags(&self) -> Option<&HashMap<String, String>>

A map of key-value pairs that specifies which tags (keys and values) are associated with the job.

pub fn user_paused_details(&self) -> Option<&UserPausedDetails>

If the current status of the job is USER_PAUSED, specifies when the job was paused and when the job or job run will expire and be cancelled if it isn't resumed. This value is present only if the value for jobStatus is USER_PAUSED.

impl DescribeClassificationJobOutput

pub fn builder() -> DescribeClassificationJobOutputBuilder

Creates a new builder-style object to manufacture DescribeClassificationJobOutput.

Trait Implementations

impl Clone for DescribeClassificationJobOutput

fn clone(&self) -> DescribeClassificationJobOutput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DescribeClassificationJobOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DescribeClassificationJobOutput

fn eq(&self, other: &DescribeClassificationJobOutput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl RequestId for DescribeClassificationJobOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DescribeClassificationJobOutput