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feat(client-glue): This release adds support for AWS Glue Crawler with Iceberg Tables, allowing Crawlers to discover Iceberg Tables in S3 and register them in Glue Data Catalog for query engines to query against.
* <p>Specifies an Apache Iceberg data source where Iceberg tables are stored in Amazon S3.</p>
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*/
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exportinterfaceIcebergTarget{
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/**
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* <p>One or more Amazon S3 paths that contains Iceberg metadata folders as <code>s3://bucket/prefix</code>.</p>
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*/
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Paths?: string[];
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/**
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* <p>The name of the connection to use to connect to the Iceberg target.</p>
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*/
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ConnectionName?: string;
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/**
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* <p>A list of glob patterns used to exclude from the crawl.
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* For more information, see <a href="https://docs.aws.amazon.com/glue/latest/dg/add-crawler.html">Catalog Tables with a Crawler</a>.</p>
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*/
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Exclusions?: string[];
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/**
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* <p>The maximum depth of Amazon S3 paths that the crawler can traverse to discover the Iceberg metadata folder in your Amazon S3 path. Used to limit the crawler run time.</p>
* <p>The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.</p>
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* <p>Additionally, imported labels and trained transforms can now be encrypted using a customer provided KMS key.</p>
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*/
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exportinterfaceTransformEncryption{
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/**
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* <p>An <code>MLUserDataEncryption</code> object containing the encryption mode and customer-provided KMS key ID.</p>
Copy file name to clipboardExpand all lines: clients/client-glue/src/models/models_1.ts
+18-48
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@@ -22,6 +22,7 @@ import {
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FederatedDatabase,
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GlueTable,
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JobRun,
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MLUserDataEncryption,
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Partition,
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PartitionInput,
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PartitionValueList,
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SchemaId,
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StorageDescriptor,
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TaskStatusType,
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TransformEncryption,
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TransformParameters,
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TransformType,
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Trigger,
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TriggerType,
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WorkerType,
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}from"./models_0";
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/**
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* @public
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* <p>The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.</p>
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* <p>Additionally, imported labels and trained transforms can now be encrypted using a customer provided KMS key.</p>
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*/
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exportinterfaceTransformEncryption{
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/**
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* <p>An <code>MLUserDataEncryption</code> object containing the encryption mode and customer-provided KMS key ID.</p>
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