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# Type of request: This is a ...

[ ] bug report
[x] feature request

# Detailed description

Currently, the KinesisStreamSpecification parameter of AWS::DynamoDB::Table resource in CloudFormation is not supported and will be ignored even if this parameter is set.
We would like to be able to use this parameter.

## Expected behavior

When the following template is applied...

```yaml
---
AWSTemplateFormatVersion: '2010-09-09'
Resources:
  EventStream:
    Type: AWS::Kinesis::Stream
    Properties:
      Name: EventStream
      ShardCount: 1
  EventTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: EventTable
      AttributeDefinitions:
      - AttributeName: pkey
        AttributeType: S
      KeySchema:
      - AttributeName: pkey
        KeyType: HASH
      BillingMode: PAY_PER_REQUEST
      StreamSpecification:
        StreamViewType: NEW_IMAGE
      KinesisStreamSpecification:
        StreamArn: !GetAtt EventStream.Arn

```

We will get the following results as when we run enable-kinesis-streaming-destination.

```sh
$ awslocal dynamodb describe-kinesis-streaming-destination --table-name EventTable
{
    "TableName": "EventTable",
    "KinesisDataStreamDestinations": [
        {
            "StreamArn": "arn:aws:kinesis:us-east-1:000000000000:stream/EventStream",
            "DestinationStatus": "ACTIVE"
        }
    ]
}
```

## Actual behavior

The KinesisStreamSpecification parameter will be ignored even if this parameter is set.

```sh
$ awslocal dynamodb describe-kinesis-streaming-destination --table-name EventTable
{
    "TableName": "EventTable",
    "KinesisDataStreamDestinations": []
}
```

# Steps to reproduce

## Command used to start LocalStack

```
$ docker run --rm -p 4566:4566 localstack/localstack:0.12.11
```

## Client code (AWS SDK code snippet, or sequence of "awslocal" commands)

CloudFormation templates to apply.

```yaml
---
AWSTemplateFormatVersion: '2010-09-09'
Resources:
  EventStream:
    Type: AWS::Kinesis::Stream
    Properties:
      Name: EventStream
      ShardCount: 1
  EventTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: EventTable
      AttributeDefinitions:
      - AttributeName: pkey
        AttributeType: S
      KeySchema:
      - AttributeName: pkey
        KeyType: HASH
      BillingMode: PAY_PER_REQUEST
      StreamSpecification:
        StreamViewType: NEW_IMAGE
      KinesisStreamSpecification:
        StreamArn: !GetAtt EventStream.Arn

```

Check the results.

```sh
awslocal dynamodb describe-kinesis-streaming-destination --table-name EventTable
```

Manually enable kinesis streaming.

```sh
awslocal dynamodb enable-kinesis-streaming-destination --table-name EventTable --stream-arn arn:aws:kinesis:us-east-1:000000000000:stream/EventStream
```
change_set_id=None, initialize=False, action=None):
        old_resources = existing_stack.template['Resources']
        new_resources = new_stack.template['Resources']
        action = action or 'CREATE'
        self.init_resource_status(old_resources, action='UPDATE')
        
        self.apply_parameter_changes(existing_stack, new_stack)
        
        changes = self.construct_changes(existing_stack, new_stack,
            initialize=initialize, change_set_id=change_set_id)
        
        contains_changes = False
        for change in changes:
            res_action = change['ResourceChange']['Action']
            resource = new_resources.get(change['ResourceChange']['LogicalResourceId'])
            if res_action != 'Modify' or self.resource_config_differs(resource):
                contains_changes = True
            if res_action in ['Modify', 'Add']:
                self.merge_properties(resource['LogicalResourceId'], existing_stack, new_stack)
        if not contains_changes:
            raise NoStackUpdates('No updates are to be performed.')
        
        existing_stack.template['Outputs'].update(new_stack.template.get('Outputs', {}))
        
        return self.apply_changes_in_loop(changes, existing_stack, stack_name, action=action, new_stack=new_stack)
    def apply_changes_in_loop(self, changes, stack, stack_name, action=None, new_stack=None):