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Updates SDK to v2.1374.0
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.changes/2.1374.0.json

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[
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{
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"type": "feature",
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"category": "Glue",
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"description": "We don't do release notes https://w.amazon.com/bin/view/AWSDocs/common-tasks/release-notes"
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},
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{
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"type": "feature",
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"category": "GuardDuty",
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"description": "Add AccessDeniedException 403 Error message code to support 3 Tagging related APIs"
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},
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{
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"type": "feature",
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"category": "IoTSiteWise",
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"description": "Provide support for 20,000 max results for GetAssetPropertyValueHistory/BatchGetAssetPropertyValueHistory and 15 minute aggregate resolution for GetAssetPropertyAggregates/BatchGetAssetPropertyAggregates"
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},
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{
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"type": "feature",
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"category": "STS",
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"description": "Documentation updates for AWS Security Token Service."
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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=2.1373.0-->
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<!--LATEST=2.1374.0-->
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<!--ENTRYINSERT-->
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## 2.1374.0
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* feature: Glue: We don't do release notes https://w.amazon.com/bin/view/AWSDocs/common-tasks/release-notes
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* feature: GuardDuty: Add AccessDeniedException 403 Error message code to support 3 Tagging related APIs
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* feature: IoTSiteWise: Provide support for 20,000 max results for GetAssetPropertyValueHistory/BatchGetAssetPropertyValueHistory and 15 minute aggregate resolution for GetAssetPropertyAggregates/BatchGetAssetPropertyAggregates
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* feature: STS: Documentation updates for AWS Security Token Service.
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## 2.1373.0
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* feature: EC2: This release adds support the inf2 and trn1n instances. inf2 instances are purpose built for deep learning inference while trn1n instances are powered by AWS Trainium accelerators and they build on the capabilities of Trainium-powered trn1 instances.
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* feature: Inspector2: Amazon Inspector now allows customers to search its vulnerability intelligence database if any of the Inspector scanning types are activated.

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-2.1373.0.min.js"></script>
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<script src="https://sdk.amazonaws.com/js/aws-sdk-2.1374.0.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/glue-2017-03-31.normal.json

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},
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"MaxCapacity": {
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"shape": "NullableDouble",
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"documentation": "<p>For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">Glue pricing page</a>.</p> <p>Do not set <code>Max Capacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\") or Apache Spark streaming ETL job (<code>JobCommand.Name</code>=\"gluestreaming\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul> <p>For Glue version 2.0 jobs, you cannot instead specify a <code>Maximum capacity</code>. Instead, you should specify a <code>Worker type</code> and the <code>Number of workers</code>.</p>"
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"documentation": "<p>For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the <a href=\"https://aws.amazon.com/glue/pricing/\">Glue pricing page</a>.</p> <p>For Glue version 2.0 or later jobs, you cannot specify a <code>Maximum capacity</code>. Instead, you should specify a <code>Worker type</code> and the <code>Number of workers</code>.</p> <p>Do not set <code>MaxCapacity</code> if using <code>WorkerType</code> and <code>NumberOfWorkers</code>.</p> <p>The value that can be allocated for <code>MaxCapacity</code> depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:</p> <ul> <li> <p>When you specify a Python shell job (<code>JobCommand.Name</code>=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.</p> </li> <li> <p>When you specify an Apache Spark ETL job (<code>JobCommand.Name</code>=\"glueetl\") or Apache Spark streaming ETL job (<code>JobCommand.Name</code>=\"gluestreaming\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.</p> </li> </ul>"
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"WorkerType": {
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"shape": "WorkerType",
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"documentation": "<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.</p> </li> <li> <p>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.</p> </li> </ul>"
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"documentation": "<p>The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.</p> <ul> <li> <p>For the <code>Standard</code> worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.</p> </li> <li> <p>For the <code>G.1X</code> worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.</p> </li> <li> <p>For the <code>G.2X</code> worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.</p> </li> <li> <p>For the <code>G.4X</code> worker type, each worker maps to 4 DPU (16 vCPU, 64 GB of memory, 256 GB disk), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later jobs.</p> </li> <li> <p>For the <code>G.8X</code> worker type, each worker maps to 8 DPU (32 vCPU, 128 GB of memory, 512 GB disk), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later jobs.</p> </li> <li> <p>For the <code>G.025X</code> worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.</p> </li> </ul>"
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"NumberOfWorkers": {
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"Standard",
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"G.1X",
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"G.2X",
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"G.025X"
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"G.025X",
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"G.4X",
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"G.8X"
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]
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},
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"Workflow": {

apis/guardduty-2017-11-28.normal.json

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"shape": "BadRequestException"
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{
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"shape": "AccessDeniedException"
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"shape": "BadRequestException"
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"shape": "AccessDeniedException"
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"shape": "BadRequestException"
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"shape": "AccessDeniedException"
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"shape": "InternalServerErrorException"
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apis/iotsitewise-2019-12-02.normal.json

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},
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"maxResults": {
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"shape": "BatchGetAssetPropertyAggregatesMaxResults",
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is less than 1 MB.</p> </li> <li> <p>The number of data points in the result set is less than the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 4000.</p> </li> </ul>"
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is equal to 1 MB.</p> </li> <li> <p>The number of data points in the result set is equal to the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 4000.</p> </li> </ul>"
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is less than 1 MB.</p> </li> <li> <p>The number of data points in the result set is less than the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 4000.</p> </li> </ul>"
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is equal to 4 MB.</p> </li> <li> <p>The number of data points in the result set is equal to the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 20000.</p> </li> </ul>"
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"documentation": "<p>The maximum number of results to return for each paginated request.</p> <p>Default: 100</p>",
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"shape": "GetAssetPropertyValueAggregatesMaxResults",
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is equal to 1 MB.</p> </li> <li> <p>The number of data points in the result set is equal to the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 250.</p> </li> </ul>",
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"GetAssetPropertyValueAggregatesMaxResults": {
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"GetAssetPropertyValueHistoryMaxResults": {
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"GetAssetPropertyValueHistoryRequest": {
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"members": {
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"maxResults": {
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"shape": "GetAssetPropertyValueHistoryMaxResults",
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"documentation": "<p>The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.</p> <ul> <li> <p>The size of the result set is equal to 4 MB.</p> </li> <li> <p>The number of data points in the result set is equal to the value of <code>maxResults</code>. The maximum value of <code>maxResults</code> is 20000.</p> </li> </ul>",
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"Resolution": {
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"pattern": "1m|15m|1h|1d"
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"Resource": {
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