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Updates SDK to v2.1140.0
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‎.changes/2.1140.0.json‎

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[
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{
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"type": "feature",
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"category": "Comprehend",
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"description": "Comprehend releases 14 new entity types for DetectPiiEntities and ContainsPiiEntities APIs."
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}
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]

‎CHANGELOG.md‎

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# Changelog for AWS SDK for JavaScript
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<!--LATEST=2.1139.0-->
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<!--LATEST=2.1140.0-->
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<!--ENTRYINSERT-->
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## 2.1140.0
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* feature: Comprehend: Comprehend releases 14 new entity types for DetectPiiEntities and ContainsPiiEntities APIs.
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## 2.1139.0
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* feature: GameSparks: This release adds an optional DeploymentResult field in the responses of GetStageDeploymentIntegrationTests and ListStageDeploymentIntegrationTests APIs.
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* feature: LookoutMetrics: In this release we added SnsFormat to SNSConfiguration to support human readable alert.

‎README.md‎

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To use the SDK in the browser, simply add the following script tag to your
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HTML pages:
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1139.0.min.js"></script>
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1140.0.min.js"></script>
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You can also build a custom browser SDK with your specified set of AWS services.
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This can allow you to reduce the SDK's size, specify different API versions of

‎apis/comprehend-2017-11-27.normal.json‎

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"shape": "InternalServerException"
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}
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],
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"documentation": "<p>Creates a model-specific endpoint for synchronous inference for a previously trained custom model </p>"
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"documentation": "<p>Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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},
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"CreateEntityRecognizer": {
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"name": "CreateEntityRecognizer",
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"shape": "InternalServerException"
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}
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],
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"documentation": "<p>Deletes a model-specific endpoint for a previously-trained custom model. All endpoints must be deleted in order for the model to be deleted.</p>"
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"documentation": "<p>Deletes a model-specific endpoint for a previously-trained custom model. All endpoints must be deleted in order for the model to be deleted. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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},
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"DeleteEntityRecognizer": {
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"name": "DeleteEntityRecognizer",
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"shape": "InternalServerException"
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}
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],
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"documentation": "<p>Gets the properties associated with a specific endpoint. Use this operation to get the status of an endpoint.</p>"
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"documentation": "<p>Gets the properties associated with a specific endpoint. Use this operation to get the status of an endpoint. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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},
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"DescribeEntitiesDetectionJob": {
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"name": "DescribeEntitiesDetectionJob",
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"shape": "InternalServerException"
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}
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],
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"documentation": "<p>Gets a list of all existing endpoints that you've created.</p>"
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"documentation": "<p>Gets a list of all existing endpoints that you've created. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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"ListEntitiesDetectionJobs": {
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"name": "ListEntitiesDetectionJobs",
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"shape": "InternalServerException"
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}
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],
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"documentation": "<p>Stops a sentiment detection job in progress.</p> <p>If the job state is <code>IN_PROGRESS</code> the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the job completes before it can be stopped, it is put into the <code>COMPLETED</code> state; otherwise the job is be stopped and put into the <code>STOPPED</code> state.</p> <p>If the job is in the <code>COMPLETED</code> or <code>FAILED</code> state when you call the <code>StopDominantLanguageDetectionJob</code> operation, the operation returns a 400 Internal Request Exception. </p> <p>When a job is stopped, any documents already processed are written to the output location.</p>"
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"documentation": "<p>Stops a sentiment detection job in progress.</p> <p>If the job state is <code>IN_PROGRESS</code>, the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the job completes before it can be stopped, it is put into the <code>COMPLETED</code> state; otherwise the job is be stopped and put into the <code>STOPPED</code> state.</p> <p>If the job is in the <code>COMPLETED</code> or <code>FAILED</code> state when you call the <code>StopDominantLanguageDetectionJob</code> operation, the operation returns a 400 Internal Request Exception. </p> <p>When a job is stopped, any documents already processed are written to the output location.</p>"
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},
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"StopTargetedSentimentDetectionJob": {
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"name": "StopTargetedSentimentDetectionJob",
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"shape": "InternalServerException"
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}
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"documentation": "<p>Stops a targeted sentiment detection job in progress.</p> <p>If the job state is <code>IN_PROGRESS</code> the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the job completes before it can be stopped, it is put into the <code>COMPLETED</code> state; otherwise the job is be stopped and put into the <code>STOPPED</code> state.</p> <p>If the job is in the <code>COMPLETED</code> or <code>FAILED</code> state when you call the <code>StopDominantLanguageDetectionJob</code> operation, the operation returns a 400 Internal Request Exception. </p> <p>When a job is stopped, any documents already processed are written to the output location.</p>"
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"documentation": "<p>Stops a targeted sentiment detection job in progress.</p> <p>If the job state is <code>IN_PROGRESS</code>, the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the job completes before it can be stopped, it is put into the <code>COMPLETED</code> state; otherwise the job is be stopped and put into the <code>STOPPED</code> state.</p> <p>If the job is in the <code>COMPLETED</code> or <code>FAILED</code> state when you call the <code>StopDominantLanguageDetectionJob</code> operation, the operation returns a 400 Internal Request Exception. </p> <p>When a job is stopped, any documents already processed are written to the output location.</p>"
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},
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"StopTrainingDocumentClassifier": {
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"name": "StopTrainingDocumentClassifier",
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"shape": "InternalServerException"
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"documentation": "<p>Updates information about the specified endpoint.</p>"
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"documentation": "<p>Updates information about the specified endpoint. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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"shapes": {
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"members": {
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"TextList": {
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"shape": "CustomerInputStringList",
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"documentation": "<p>A list containing the text of the input documents. The list can contain a maximum of 25 documents. Each document must contain fewer that 5,000 bytes of UTF-8 encoded characters.</p>"
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"documentation": "<p>A list containing the text of the input documents. The list can contain a maximum of 25 documents. Each document must contain fewer than 5,000 bytes of UTF-8 encoded characters.</p>"
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"LanguageCode": {
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"EndpointArn": {
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"documentation": "<p>The Amazon Resource Number (ARN) of the endpoint.</p>"
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"documentation": "<p>The Amazon Resource Number (ARN) of the endpoint. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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},
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"LanguageCode": {
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"documentation": "<p>The language of the input documents.</p>"
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"documentation": "<p>The language of the input documents. Currently, English is the only valid language.</p>"
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"member": {
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"shape": "CustomerInputString"
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"min": 1,
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"sensitive": true
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"DeleteDocumentClassifierRequest": {
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"EndpointArn": {
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"documentation": "<p>The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.</p> <p>If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.</p>"
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"documentation": "<p>The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.</p> <p>If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.</p> <p>For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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"LanguageCode": {
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"documentation": "<p>The language of the input documents. Currently, English is the only valid language.</p>"
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"VpcConfig": {
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"documentation": "<p> Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see <a href=\"https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html\">Amazon VPC</a>. </p>"
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"documentation": "<p> Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see <a href=\"https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html\">Amazon VPC</a>. </p>"
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"documentation": "<p>Provides information about a document classification job.</p>"
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"documentation": "<p>A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.</p> <p>This parameter is required if you set <code>DataFormat</code> to <code>AUGMENTED_MANIFEST</code>.</p>"
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"documentation": "<p>The input properties for training a document classifier. </p> <p>For more information on how the input file is formatted, see <a>how-document-classification-training-data</a>. </p>"
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"documentation": "<p>The input properties for training a document classifier. </p> <p>For more information on how the input file is formatted, see <a>prep-classifier-data</a>. </p>"
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"DocumentClassifierMode": {
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"VpcConfig": {
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"documentation": "<p> Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see <a href=\"https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html\">Amazon VPC</a>. </p>"
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"documentation": "<p> Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see <a href=\"https://docs.aws.amazon.com/vppc/latest/userguide/what-is-amazon-vpc.html\">Amazon VPC</a>. </p>"
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"Mode": {
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"documentation": "<p>Specifies information about the specified endpoint.</p>"
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"documentation": "<p>Specifies information about the specified endpoint. For information about endpoints, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html\">Managing endpoints</a>.</p>"
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"ALL",
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"LICENSE_PLATE",
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"VEHICLE_IDENTIFICATION_NUMBER",
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"UK_NATIONAL_INSURANCE_NUMBER",
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"CA_SOCIAL_INSURANCE_NUMBER",
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"US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER",
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"UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER",
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"IN_PERMANENT_ACCOUNT_NUMBER",
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"IN_NREGA",
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"INTERNATIONAL_BANK_ACCOUNT_NUMBER",
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"SWIFT_CODE",
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"IN_VOTER_NUMBER"
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"LanguageCode": {
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"documentation": "<p>The language of the input documents. Currently, English is the only valid language.</p>"
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‎apis/logs-2014-03-28.normal.json‎

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"documentation": "<p>Creates an export task, which allows you to efficiently export data from a log group to an Amazon S3 bucket. When you perform a <code>CreateExportTask</code> operation, you must use credentials that have permission to write to the S3 bucket that you specify as the destination.</p> <p>This is an asynchronous call. If all the required information is provided, this operation initiates an export task and responds with the ID of the task. After the task has started, you can use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_DescribeExportTasks.html\">DescribeExportTasks</a> to get the status of the export task. Each account can only have one active (<code>RUNNING</code> or <code>PENDING</code>) export task at a time. To cancel an export task, use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_CancelExportTask.html\">CancelExportTask</a>.</p> <p>You can export logs from multiple log groups or multiple time ranges to the same S3 bucket. To separate out log data for each export task, you can specify a prefix to be used as the Amazon S3 key prefix for all exported objects.</p> <p>Exporting to S3 buckets that are encrypted with AES-256 is supported. Exporting to S3 buckets encrypted with SSE-KMS is not supported. </p>"
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"documentation": "<p>Creates an export task, which allows you to efficiently export data from a log group to an Amazon S3 bucket. When you perform a <code>CreateExportTask</code> operation, you must use credentials that have permission to write to the S3 bucket that you specify as the destination.</p> <important> <p>Exporting log data to Amazon S3 buckets that are encrypted by KMS is not supported. Exporting log data to Amazon S3 buckets that have S3 Object Lock enabled with a retention period is not supported.</p> <p>Exporting to S3 buckets that are encrypted with AES-256 is supported. </p> </important> <p>This is an asynchronous call. If all the required information is provided, this operation initiates an export task and responds with the ID of the task. After the task has started, you can use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_DescribeExportTasks.html\">DescribeExportTasks</a> to get the status of the export task. Each account can only have one active (<code>RUNNING</code> or <code>PENDING</code>) export task at a time. To cancel an export task, use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_CancelExportTask.html\">CancelExportTask</a>.</p> <p>You can export logs from multiple log groups or multiple time ranges to the same S3 bucket. To separate out log data for each export task, you can specify a prefix to be used as the Amazon S3 key prefix for all exported objects.</p> <note> <p>Time-based sorting on chunks of log data inside an exported file is not guaranteed. You can sort the exported log fild data by using Linux utilities.</p> </note>"
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"documentation": "<p>The end time of the range for the request, expressed as the number of milliseconds after Jan 1, 1970 00:00:00 UTC. Events with a timestamp later than this time are not exported.</p>"
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"documentation": "<p>The number of days to retain the log events in the specified log group. Possible values are: 1, 3, 5, 7, 14, 30, 60, 90, 120, 150, 180, 365, 400, 545, 731, 1827, and 3653.</p> <p>To set a log group to never have log events expire, use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_DeleteRetentionPolicy.html\">DeleteRetentionPolicy</a>. </p>"
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"documentation": "<p>The number of days to retain the log events in the specified log group. Possible values are: 1, 3, 5, 7, 14, 30, 60, 90, 120, 150, 180, 365, 400, 545, 731, 1827, 2192, 2557, 2922, 3288, and 3653.</p> <p>To set a log group to never have log events expire, use <a href=\"https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_DeleteRetentionPolicy.html\">DeleteRetentionPolicy</a>. </p>"
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"documentation": "<p>The log groups.</p> <p>If the <code>retentionInDays</code> value is not included for a log group, then that log group is set to have its events never expire.</p>"
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"nextToken": {
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