Release v1.19.11

CHANGELOG.md

@@ -1,3 +1,16 @@
+Release v1.19.11 (2019-04-05)
+===
+
+### Service Client Updates
+* `service/comprehend`: Updates service API and documentation
+* `service/glue`: Updates service API and documentation
+  * AWS Glue now supports workerType choices in the CreateJob, UpdateJob, and StartJobRun APIs, to be used for memory-intensive jobs.
+* `service/iot1click-devices`: Updates service API and documentation
+* `service/mediaconvert`: Updates service API
+  * Rectify incorrect modelling of DisassociateCertificate method
+* `service/medialive`: Updates service API, documentation, and paginators
+  * Today AWS Elemental MediaLive (https://aws.amazon.com/medialive/) adds the option to create "Single Pipeline" channels, which offers a lower-cost option compared to Standard channels. MediaLive Single Pipeline channels have a single encoding pipeline rather than the redundant dual Availability Zone (AZ) pipelines that MediaLive provides with a "Standard" channel.
+
 Release v1.19.10 (2019-04-04)
 ===
 

aws/version.go

@@ -5,4 +5,4 @@ package aws
 const SDKName = "aws-sdk-go"
 
 // SDKVersion is the version of this SDK
-const SDKVersion = "1.19.10"
+const SDKVersion = "1.19.11"

models/apis/comprehend/2017-11-27/api-2.json

@@ -922,6 +922,7 @@
         "DataAccessRoleArn":{"shape":"IamRoleArn"},
         "Tags":{"shape":"TagList"},
         "InputDataConfig":{"shape":"DocumentClassifierInputDataConfig"},
+        "OutputDataConfig":{"shape":"DocumentClassifierOutputDataConfig"},
         "ClientRequestToken":{
           "shape":"ClientRequestTokenString",
           "idempotencyToken":true
@@ -1222,6 +1223,13 @@
         "S3Uri":{"shape":"S3Uri"}
       }
     },
+    "DocumentClassifierOutputDataConfig":{
+      "type":"structure",
+      "members":{
+        "S3Uri":{"shape":"S3Uri"},
+        "KmsKeyId":{"shape":"KmsKeyId"}
+      }
+    },
     "DocumentClassifierProperties":{
       "type":"structure",
       "members":{
@@ -1234,6 +1242,7 @@
         "TrainingStartTime":{"shape":"Timestamp"},
         "TrainingEndTime":{"shape":"Timestamp"},
         "InputDataConfig":{"shape":"DocumentClassifierInputDataConfig"},
+        "OutputDataConfig":{"shape":"DocumentClassifierOutputDataConfig"},
         "ClassifierMetadata":{"shape":"ClassifierMetadata"},
         "DataAccessRoleArn":{"shape":"IamRoleArn"},
         "VolumeKmsKeyId":{"shape":"KmsKeyId"}

models/apis/comprehend/2017-11-27/docs-2.json

@@ -31,7 +31,7 @@
     "ListEntityRecognizers": "<p>Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training. Allows you to filter the list of recognizers based on criteria such as status and submission time. This call returns up to 500 entity recognizers in the list, with a default number of 100 recognizers in the list.</p> <p>The results of this list are not in any particular order. Please get the list and sort locally if needed.</p>",
     "ListKeyPhrasesDetectionJobs": "<p>Get a list of key phrase detection jobs that you have submitted.</p>",
     "ListSentimentDetectionJobs": "<p>Gets a list of sentiment detection jobs that you have submitted.</p>",
-    "ListTagsForResource": "<p>Lists all tags associated with a given Amazon Comprehend resource. Up to the maximum number of tags allowed per resource will be displayed. </p>",
+    "ListTagsForResource": "<p>Lists all tags associated with a given Amazon Comprehend resource. </p>",
     "ListTopicsDetectionJobs": "<p>Gets a list of the topic detection jobs that you have submitted.</p>",
     "StartDocumentClassificationJob": "<p>Starts an asynchronous document classification job. Use the operation to track the progress of the job.</p>",
     "StartDominantLanguageDetectionJob": "<p>Starts an asynchronous dominant language detection job for a collection of documents. Use the operation to track the status of a job.</p>",
@@ -45,7 +45,7 @@
     "StopSentimentDetectionJob": "<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>",
     "StopTrainingDocumentClassifier": "<p>Stops a document classifier training job while in progress.</p> <p>If the training job state is <code>TRAINING</code>, the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the training job completes before it can be stopped, it is put into the <code>TRAINED</code>; otherwise the training job is stopped and put into the <code>STOPPED</code> state and the service sends back an HTTP 200 response with an empty HTTP body. </p>",
     "StopTrainingEntityRecognizer": "<p>Stops an entity recognizer training job while in progress.</p> <p>If the training job state is <code>TRAINING</code>, the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the training job completes before it can be stopped, it is put into the <code>TRAINED</code>; otherwise the training job is stopped and putted into the <code>STOPPED</code> state and the service sends back an HTTP 200 response with an empty HTTP body.</p>",
-    "TagResource": "<p>Associates a specific tag with an Amazon Comprehend resource. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department. </p>",
+    "TagResource": "<p>Associates a specific tag with an Amazon Comprehend resource. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department. </p>",
     "UntagResource": "<p>Removes a specific tag associated with an Amazon Comprehend resource. </p>"
   },
   "shapes": {
@@ -424,6 +424,13 @@
         "DocumentClassifierProperties$InputDataConfig": "<p>The input data configuration that you supplied when you created the document classifier for training.</p>"
       }
     },
+    "DocumentClassifierOutputDataConfig": {
+      "base": "<p>Provides output results configuration parameters for custom classifier jobs. </p>",
+      "refs": {
+        "CreateDocumentClassifierRequest$OutputDataConfig": "<p>Enables the addition of output results configuration parameters for custom classifier jobs.</p>",
+        "DocumentClassifierProperties$OutputDataConfig": "<p> Provides output results configuration parameters for custom classifier jobs.</p>"
+      }
+    },
     "DocumentClassifierProperties": {
       "base": "<p>Provides information about a document classifier.</p>",
       "refs": {
@@ -816,6 +823,7 @@
         "CreateDocumentClassifierRequest$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
         "CreateEntityRecognizerRequest$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
         "DocumentClassificationJobProperties$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
+        "DocumentClassifierOutputDataConfig$KmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>KMS Key Alias: <code>\"alias/ExampleAlias\"</code> </p> </li> <li> <p>ARN of a KMS Key Alias: <code>\"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\"</code> </p> </li> </ul>",
         "DocumentClassifierProperties$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
         "DominantLanguageDetectionJobProperties$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
         "EntitiesDetectionJobProperties$VolumeKmsKeyId": "<p>ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>",
@@ -1087,6 +1095,7 @@
       "base": null,
       "refs": {
         "DocumentClassifierInputDataConfig$S3Uri": "<p>The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.</p> <p>For example, if you use the URI <code>S3://bucketName/prefix</code>, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.</p>",
+        "DocumentClassifierOutputDataConfig$S3Uri": "<p>When you use the <code>OutputDataConfig</code> object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.</p> <p>When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The <code>S3Uri</code> field contains the location of the output file, called <code>output.tar.gz</code>. It is a compressed archive that contains the confusion matrix.</p>",
         "EntityRecognizerAnnotations$S3Uri": "<p> Specifies the Amazon S3 location where the annotations for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.</p>",
         "EntityRecognizerDocuments$S3Uri": "<p> Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same region as the API endpoint that you are calling.</p>",
         "EntityRecognizerEntityList$S3Uri": "<p>Specifies the Amazon S3 location where the entity list is located. The URI must be in the same region as the API endpoint that you are calling.</p>",
@@ -1335,16 +1344,16 @@
     "TagKeyList": {
       "base": null,
       "refs": {
-        "UntagResourceRequest$TagKeys": "<p>The initial part of a key-value pair that forms a tag being removed from a given resource. For instance, “Department” might be used as the key portion of the pair, with multiple values such as “sales,” “legal,” and “administration.” </p>"
+        "UntagResourceRequest$TagKeys": "<p>The initial part of a key-value pair that forms a tag being removed from a given resource. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department. Keys must be unique and cannot be duplicated for a particular resource. </p>"
       }
     },
     "TagList": {
       "base": null,
       "refs": {
-        "CreateDocumentClassifierRequest$Tags": "<p>Tags to be associated with the document classifier being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department. </p>",
-        "CreateEntityRecognizerRequest$Tags": "<p>Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department. </p>",
-        "ListTagsForResourceResponse$Tags": "<p>Tags associated with the Amazon Comprehend resource being queried. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department. </p>",
-        "TagResourceRequest$Tags": "<p>Tags being associated with a specific Amazon Comprehend resource. </p>"
+        "CreateDocumentClassifierRequest$Tags": "<p>Tags to be associated with the document classifier being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department. </p>",
+        "CreateEntityRecognizerRequest$Tags": "<p>Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department. </p>",
+        "ListTagsForResourceResponse$Tags": "<p>Tags associated with the Amazon Comprehend resource being queried. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department. </p>",
+        "TagResourceRequest$Tags": "<p>Tags being associated with a specific Amazon Comprehend resource. There can be a maximum of 50 tags (both existing and pending) associated with a specific resource. </p>"
       }
     },
     "TagResourceRequest": {
@@ -1420,7 +1429,7 @@
       }
     },
     "TooManyTagsException": {
-      "base": "<p>The request contains more tags than can be associated with a resource (50 tags per resource). </p>",
+      "base": "<p>The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request. </p>",
       "refs": {
       }
     },

models/apis/glue/2017-03-31/api-2.json

@@ -2299,6 +2299,8 @@
         "Timeout":{"shape":"Timeout"},
         "MaxCapacity":{"shape":"NullableDouble"},
         "NotificationProperty":{"shape":"NotificationProperty"},
+        "WorkerType":{"shape":"WorkerType"},
+        "NumberOfWorkers":{"shape":"NullableInteger"},
         "SecurityConfiguration":{"shape":"NameString"},
         "Tags":{"shape":"TagsMap"}
       }
@@ -3531,8 +3533,10 @@
         },
         "Timeout":{"shape":"Timeout"},
         "MaxCapacity":{"shape":"NullableDouble"},
-        "NotificationProperty":{"shape":"NotificationProperty"},
-        "SecurityConfiguration":{"shape":"NameString"}
+        "WorkerType":{"shape":"WorkerType"},
+        "NumberOfWorkers":{"shape":"NullableInteger"},
+        "SecurityConfiguration":{"shape":"NameString"},
+        "NotificationProperty":{"shape":"NotificationProperty"}
       }
     },
     "JobBookmarkEntry":{
@@ -3599,6 +3603,8 @@
         "Timeout":{"shape":"Timeout"},
         "MaxCapacity":{"shape":"NullableDouble"},
         "NotificationProperty":{"shape":"NotificationProperty"},
+        "WorkerType":{"shape":"WorkerType"},
+        "NumberOfWorkers":{"shape":"NullableInteger"},
         "SecurityConfiguration":{"shape":"NameString"},
         "LogGroupName":{"shape":"GenericString"}
       }
@@ -3637,8 +3643,10 @@
         },
         "Timeout":{"shape":"Timeout"},
         "MaxCapacity":{"shape":"NullableDouble"},
-        "NotificationProperty":{"shape":"NotificationProperty"},
-        "SecurityConfiguration":{"shape":"NameString"}
+        "WorkerType":{"shape":"WorkerType"},
+        "NumberOfWorkers":{"shape":"NullableInteger"},
+        "SecurityConfiguration":{"shape":"NameString"},
+        "NotificationProperty":{"shape":"NotificationProperty"}
       }
     },
     "JsonClassifier":{
@@ -3877,6 +3885,10 @@
       "type":"double",
       "box":true
     },
+    "NullableInteger":{
+      "type":"integer",
+      "box":true
+    },
     "OperationTimeoutException":{
       "type":"structure",
       "members":{
@@ -4256,8 +4268,10 @@
         },
         "Timeout":{"shape":"Timeout"},
         "MaxCapacity":{"shape":"NullableDouble"},
-        "NotificationProperty":{"shape":"NotificationProperty"},
-        "SecurityConfiguration":{"shape":"NameString"}
+        "WorkerType":{"shape":"WorkerType"},
+        "NumberOfWorkers":{"shape":"NullableInteger"},
+        "SecurityConfiguration":{"shape":"NameString"},
+        "NotificationProperty":{"shape":"NotificationProperty"}
       }
     },
     "StartJobRunResponse":{
@@ -4847,6 +4861,14 @@
       "type":"string",
       "max":409600
     },
+    "WorkerType":{
+      "type":"string",
+      "enum":[
+        "Standard",
+        "G.1X",
+        "G.2X"
+      ]
+    },
     "XMLClassifier":{
       "type":"structure",
       "required":[