Amazon Relational Database Service Update: This SDK release introduces APIs that automate the export of Amazon RDS snapshot data to Amazon S3. The new APIs include: StartExportTask, CancelExportTask, DescribeExportTasks. These APIs automate the extraction of data from an RDS snapshot and export it to an Amazon S3 bucket. The data is stored in a compressed, consistent, and query-able format. After the data is exported, you can query it directly using tools such as Amazon Athena or Redshift Spectrum. You can also consume the data as part of a data lake solution. If you archive the data in S3 Infrequent Access or Glacier, you can reduce long term data storage costs by applying data lifecycle policies.

Author: AWS

.changes/next-release/feature-AmazonRelationalDatabaseService-494d70a.json

@@ -0,0 +1,5 @@
+{
+    "type": "feature",
+    "category": "Amazon Relational Database Service",
+    "description": "This SDK release introduces APIs that automate the export of Amazon RDS snapshot data to Amazon S3. The new APIs include: StartExportTask, CancelExportTask, DescribeExportTasks. These APIs automate the extraction of data from an RDS snapshot and export it to an Amazon S3 bucket. The data is stored in a compressed, consistent, and query-able format. After the data is exported, you can query it directly using tools such as Amazon Athena or Redshift Spectrum. You can also consume the data as part of a data lake solution. If you archive the data in S3 Infrequent Access or Glacier, you can reduce long term data storage costs by applying data lifecycle policies."
+}

services/rds/src/main/resources/codegen-resources/paginators-1.json

@@ -102,6 +102,12 @@
       "output_token": "Marker",
       "result_key": "Events"
     },
+    "DescribeExportTasks": {
+      "input_token": "Marker",
+      "limit_key": "MaxRecords",
+      "output_token": "Marker",
+      "result_key": "ExportTasks"
+    },
     "DescribeGlobalClusters": {
       "input_token": "Marker",
       "limit_key": "MaxRecords",