# Create and run the application (console)
<a name="gs-scala-7"></a>

Follow these steps to create, configure, update, and run the application using the console.

## Create the Application
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1. Sign in to the AWS Management Console, and open the Amazon MSF console at https://console.aws.amazon.com/flink.

1. On the Managed Service for Apache Flink dashboard, choose **Create analytics application**.

1. On the **Managed Service for Apache Flink - 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**.
   + Keep the version as **Apache Flink version 1.19.1**.

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

1. Choose **Create application**.

**Note**  
When you create a Managed Service for Apache Flink application using the console, you have the option of having an IAM role and policy created for your application. Your application uses this role and policy to access its dependent resources. These IAM resources are named using your application name and Region as follows:  
Policy: `kinesis-analytics-service-MyApplication-us-west-2`
Role: `kinesisanalytics-MyApplication-us-west-2`

## Configure the application
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Use the following procedure to configure the application.

**To configure the application**

1. On the **MyApplication** page, choose **Configure**.

1. 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.**.

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

1. Under **Properties**, choose **Add group**. 

1. Enter the following:    
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/managed-flink/latest/java/gs-scala-7.html)

   Choose **Save**.

1. Under **Properties**, choose **Add group** again. 

1. Enter the following:    
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/managed-flink/latest/java/gs-scala-7.html)

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

1. For **CloudWatch logging**, choose the **Enable** check box.

1. Choose **Update**.

**Note**  
When you choose to enable Amazon CloudWatch logging, Managed Service for Apache Flink creates a log group and log stream for you. The names of these resources are as follows:   
Log group: `/aws/kinesis-analytics/MyApplication`
Log stream: `kinesis-analytics-log-stream`

## Edit the IAM policy
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Edit the IAM policy to add permissions to access the Amazon S3 bucket.

**To edit the IAM policy to add S3 bucket permissions**

1. Open the IAM console at [https://console.aws.amazon.com/iam/](https://console.aws.amazon.com/iam/).

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

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

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

------
#### [ JSON ]

****  

   ```
   {
       "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"
           }
       ]
   }
   ```

------

## Run the application
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The Flink job graph can be viewed by running the application, opening the Apache Flink dashboard, and choosing the desired Flink job.

## Stop the application
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To stop the application, on the **MyApplication** page, choose **Stop**. Confirm the action.