Struct aws_sdk_cloudtrail::types::DataResource

#[non_exhaustive]
pub struct DataResource {
    pub type: Option<String>,
    pub values: Option<Vec<String>>,
}

The Amazon S3 buckets, Lambda functions, or Amazon DynamoDB tables that you specify in your event selectors for your trail to log data events. Data events provide information about the resource operations performed on or within a resource itself. These are also known as data plane operations. You can specify up to 250 data resources for a trail.

The total number of allowed data resources is 250. This number can be distributed between 1 and 5 event selectors, but the total cannot exceed 250 across all selectors for the trail.

If you are using advanced event selectors, the maximum total number of values for all conditions, across all advanced event selectors for the trail, is 500.

The following example demonstrates how logging works when you configure logging of all data events for an S3 bucket named bucket-1. In this example, the CloudTrail user specified an empty prefix, and the option to log both Read and Write data events.

1. A user uploads an image file to bucket-1.

2. The PutObject API operation is an Amazon S3 object-level API. It is recorded as a data event in CloudTrail. Because the CloudTrail user specified an S3 bucket with an empty prefix, events that occur on any object in that bucket are logged. The trail processes and logs the event.

3. A user uploads an object to an Amazon S3 bucket named arn:aws:s3:::bucket-2.

4. The PutObject API operation occurred for an object in an S3 bucket that the CloudTrail user didn't specify for the trail. The trail doesn’t log the event.

The following example demonstrates how logging works when you configure logging of Lambda data events for a Lambda function named MyLambdaFunction, but not for all Lambda functions.

1. A user runs a script that includes a call to the MyLambdaFunction function and the MyOtherLambdaFunction function.

2. The Invoke API operation on MyLambdaFunction is an Lambda API. It is recorded as a data event in CloudTrail. Because the CloudTrail user specified logging data events for MyLambdaFunction, any invocations of that function are logged. The trail processes and logs the event.

3. The Invoke API operation on MyOtherLambdaFunction is an Lambda API. Because the CloudTrail user did not specify logging data events for all Lambda functions, the Invoke operation for MyOtherLambdaFunction does not match the function specified for the trail. The trail doesn’t log the event.

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.

type: Option<String>

The resource type in which you want to log data events. You can specify the following basic event selector resource types:

• AWS::DynamoDB::Table

• AWS::Lambda::Function

• AWS::S3::Object

Additional resource types are available through advanced event selectors. For more information about these additional resource types, see AdvancedFieldSelector.

values: Option<Vec<String>>

An array of Amazon Resource Name (ARN) strings or partial ARN strings for the specified objects.

• To log data events for all objects in all S3 buckets in your Amazon Web Services account, specify the prefix as arn:aws:s3.

  This also enables logging of data event activity performed by any user or role in your Amazon Web Services account, even if that activity is performed on a bucket that belongs to another Amazon Web Services account.

• To log data events for all objects in an S3 bucket, specify the bucket and an empty object prefix such as arn:aws:s3:::bucket-1/. The trail logs data events for all objects in this S3 bucket.

• To log data events for specific objects, specify the S3 bucket and object prefix such as arn:aws:s3:::bucket-1/example-images. The trail logs data events for objects in this S3 bucket that match the prefix.

• To log data events for all Lambda functions in your Amazon Web Services account, specify the prefix as arn:aws:lambda.

  This also enables logging of Invoke activity performed by any user or role in your Amazon Web Services account, even if that activity is performed on a function that belongs to another Amazon Web Services account.

• To log data events for a specific Lambda function, specify the function ARN.

  Lambda function ARNs are exact. For example, if you specify a function ARN arn:aws:lambda:us-west-2:111111111111:function:helloworld, data events will only be logged for arn:aws:lambda:us-west-2:111111111111:function:helloworld. They will not be logged for arn:aws:lambda:us-west-2:111111111111:function:helloworld2.

• To log data events for all DynamoDB tables in your Amazon Web Services account, specify the prefix as arn:aws:dynamodb.

Implementations

impl DataResource

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

The resource type in which you want to log data events. You can specify the following basic event selector resource types:

• AWS::DynamoDB::Table

• AWS::Lambda::Function

• AWS::S3::Object

Additional resource types are available through advanced event selectors. For more information about these additional resource types, see AdvancedFieldSelector.

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

An array of Amazon Resource Name (ARN) strings or partial ARN strings for the specified objects.

• To log data events for all objects in all S3 buckets in your Amazon Web Services account, specify the prefix as arn:aws:s3.

  This also enables logging of data event activity performed by any user or role in your Amazon Web Services account, even if that activity is performed on a bucket that belongs to another Amazon Web Services account.

• To log data events for all objects in an S3 bucket, specify the bucket and an empty object prefix such as arn:aws:s3:::bucket-1/. The trail logs data events for all objects in this S3 bucket.

• To log data events for specific objects, specify the S3 bucket and object prefix such as arn:aws:s3:::bucket-1/example-images. The trail logs data events for objects in this S3 bucket that match the prefix.

• To log data events for all Lambda functions in your Amazon Web Services account, specify the prefix as arn:aws:lambda.

  This also enables logging of Invoke activity performed by any user or role in your Amazon Web Services account, even if that activity is performed on a function that belongs to another Amazon Web Services account.

• To log data events for a specific Lambda function, specify the function ARN.

  Lambda function ARNs are exact. For example, if you specify a function ARN arn:aws:lambda:us-west-2:111111111111:function:helloworld, data events will only be logged for arn:aws:lambda:us-west-2:111111111111:function:helloworld. They will not be logged for arn:aws:lambda:us-west-2:111111111111:function:helloworld2.

• To log data events for all DynamoDB tables in your Amazon Web Services account, specify the prefix as arn:aws:dynamodb.

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

impl DataResource

pub fn builder() -> DataResourceBuilder

Creates a new builder-style object to manufacture DataResource.

Trait Implementations

impl Clone for DataResource

fn clone(&self) -> DataResource

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataResource

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

Formats the value using the given formatter.

impl PartialEq for DataResource

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for DataResource