#[non_exhaustive]pub struct ClassificationResult {
pub additional_occurrences: Option<bool>,
pub custom_data_identifiers: Option<CustomDataIdentifiers>,
pub mime_type: Option<String>,
pub sensitive_data: Option<Vec<SensitiveDataItem>>,
pub size_classified: Option<i64>,
pub status: Option<ClassificationResultStatus>,
}
Expand description
Provides the details of a sensitive data finding, including the types, number of occurrences, and locations of the sensitive data that was detected.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.additional_occurrences: Option<bool>
Specifies whether Amazon Macie detected additional occurrences of sensitive data in the S3 object. A finding includes location data for a maximum of 15 occurrences of sensitive data.
This value can help you determine whether to investigate additional occurrences of sensitive data in an object. You can do this by referring to the corresponding sensitive data discovery result for the finding (classificationDetails.detailedResultsLocation).
custom_data_identifiers: Option<CustomDataIdentifiers>
The custom data identifiers that detected the sensitive data and the number of occurrences of the data that they detected.
mime_type: Option<String>
The type of content, as a MIME type, that the finding applies to. For example, application/gzip, for a GNU Gzip compressed archive file, or application/pdf, for an Adobe Portable Document Format file.
sensitive_data: Option<Vec<SensitiveDataItem>>
The category, types, and number of occurrences of the sensitive data that produced the finding.
size_classified: Option<i64>
The total size, in bytes, of the data that the finding applies to.
status: Option<ClassificationResultStatus>
The status of the finding.
Implementations§
Source§impl ClassificationResult
impl ClassificationResult
Sourcepub fn additional_occurrences(&self) -> Option<bool>
pub fn additional_occurrences(&self) -> Option<bool>
Specifies whether Amazon Macie detected additional occurrences of sensitive data in the S3 object. A finding includes location data for a maximum of 15 occurrences of sensitive data.
This value can help you determine whether to investigate additional occurrences of sensitive data in an object. You can do this by referring to the corresponding sensitive data discovery result for the finding (classificationDetails.detailedResultsLocation).
Sourcepub fn custom_data_identifiers(&self) -> Option<&CustomDataIdentifiers>
pub fn custom_data_identifiers(&self) -> Option<&CustomDataIdentifiers>
The custom data identifiers that detected the sensitive data and the number of occurrences of the data that they detected.
Sourcepub fn mime_type(&self) -> Option<&str>
pub fn mime_type(&self) -> Option<&str>
The type of content, as a MIME type, that the finding applies to. For example, application/gzip, for a GNU Gzip compressed archive file, or application/pdf, for an Adobe Portable Document Format file.
Sourcepub fn sensitive_data(&self) -> &[SensitiveDataItem]
pub fn sensitive_data(&self) -> &[SensitiveDataItem]
The category, types, and number of occurrences of the sensitive data that produced the finding.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .sensitive_data.is_none()
.
Sourcepub fn size_classified(&self) -> Option<i64>
pub fn size_classified(&self) -> Option<i64>
The total size, in bytes, of the data that the finding applies to.
Sourcepub fn status(&self) -> Option<&ClassificationResultStatus>
pub fn status(&self) -> Option<&ClassificationResultStatus>
The status of the finding.
Source§impl ClassificationResult
impl ClassificationResult
Sourcepub fn builder() -> ClassificationResultBuilder
pub fn builder() -> ClassificationResultBuilder
Creates a new builder-style object to manufacture ClassificationResult
.
Trait Implementations§
Source§impl Clone for ClassificationResult
impl Clone for ClassificationResult
Source§fn clone(&self) -> ClassificationResult
fn clone(&self) -> ClassificationResult
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Debug for ClassificationResult
impl Debug for ClassificationResult
Source§impl PartialEq for ClassificationResult
impl PartialEq for ClassificationResult
impl StructuralPartialEq for ClassificationResult
Auto Trait Implementations§
impl Freeze for ClassificationResult
impl RefUnwindSafe for ClassificationResult
impl Send for ClassificationResult
impl Sync for ClassificationResult
impl Unpin for ClassificationResult
impl UnwindSafe for ClassificationResult
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