Create and run the Application (console)

1. Open the Kinesis Data Analytics console at https://console.amazonaws.cn/kinesisanalytics.

2. On the Kinesis Data Analytics dashboard, choose Create analytics application.

3. On the Kinesis Analytics - Create application page, provide the application details as follows:

   • For Application name, enter MyApplication.

   • For Description, enter My scala test app.

   • For Runtime, choose Apache Flink.

   • Leave the version as Apache Flink version 1.15.2 (Recommended version).

4. For Access permissions, choose Create / update IAM role kinesis-analytics-MyApplication-us-west-2.

5. Choose Create application.

To configure the application

1. On the MyApplication page, choose Configure.

2. On the Configure application page, provide the Code location:

   • For Amazon S3 bucket, enter ka-app-code-<username>.

   • For Path to Amazon S3 object, enter getting-started-scala-1.0.jar..

3. Under Access to application resources, for Access permissions, choose Create / update IAM role kinesis-analytics-MyApplication-us-west-2.

4. Under Properties, choose Add group.

5. Enter the following:

   Group ID	Key	Value
   ConsumerConfigProperties	input.stream.name	ExampleInputStream
   ConsumerConfigProperties	aws.region	us-west-2
   ConsumerConfigProperties	flink.stream.initpos	LATEST

   Choose Save.

6. Under Properties, choose Add group again.

7. Enter the following:

   Group ID	Key	Value
   ProducerConfigProperties	output.stream.name	ExampleOutputStream
   ProducerConfigProperties	aws.region	us-west-2

8. Under Monitoring, ensure that the Monitoring metrics level is set to Application.

9. For CloudWatch logging, choose the Enable check box.

10. Choose Update.

To edit the IAM policy to add S3 bucket permissions

1. Open the IAM console at https://console.amazonaws.cn/iam/.

2. Choose Policies. Choose the kinesis-analytics-service-MyApplication-us-west-2 policy that the console created for you in the previous section.

3. On the Summary page, choose Edit policy. Choose the JSON tab.

4. Add the highlighted section of the following policy example to the policy. Replace the sample account IDs (012345678901) with your account ID.

   {
       "Version": "2012-10-17",
       "Statement": [
           {
               "Sid": "ReadCode",
               "Effect": "Allow",
               "Action": [
                   "s3:GetObject",
                   "s3:GetObjectVersion"
               ],
               "Resource": [
                   "arn:aws:s3:::ka-app-code-username/getting-started-scala-1.0.jar"
               ]
           },
           {
               "Sid": "DescribeLogGroups",
               "Effect": "Allow",
               "Action": [
                   "logs:DescribeLogGroups"
               ],
               "Resource": [
                   "arn:aws:logs:us-west-2:012345678901:log-group:*"
               ]
           },
           {
               "Sid": "DescribeLogStreams",
               "Effect": "Allow",
               "Action": [
                   "logs:DescribeLogStreams"
               ],
               "Resource": [
                   "arn:aws:logs:us-west-2:012345678901:log-group:/aws/kinesis-analytics/MyApplication:log-stream:*"
               ]
           },
           {
               "Sid": "PutLogEvents",
               "Effect": "Allow",
               "Action": [
                   "logs:PutLogEvents"
               ],
               "Resource": [
                   "arn:aws:logs:us-west-2:012345678901:log-group:/aws/kinesis-analytics/MyApplication:log-stream:kinesis-analytics-log-stream"
               ]
           },
           {
               "Sid": "ReadInputStream",
               "Effect": "Allow",
               "Action": "kinesis:*",
               "Resource": "arn:aws:kinesis:us-west-2:012345678901:stream/ExampleInputStream"
           },
           {
               "Sid": "WriteOutputStream",
               "Effect": "Allow",
               "Action": "kinesis:*",
               "Resource": "arn:aws:kinesis:us-west-2:012345678901:stream/ExampleOutputStream"
           }
       ]
   }