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# Type of request: This is a ...

[ ] bug report
[X ] feature request

# Detailed description

I'm using localstack to create a dynamoDb table locally with a dynamodb stream and a flink application consuming data from the stream
The shardId created in localstack follows this format

shardId-000000000000-798cedd84a2953c5af70a131f8701f35

Flink expects this format
shardId-00000001592367572726-07776efd

The difference is just after the prefix shardId.
Normally the real shardId created by amazon use is composed by shardId prefix, 20-digit timestamp and 0-36 or more characters separated by '-'

The current shardId format is not valid for flink applications and it's not following the real pattern used by amazon

## Expected behavior

ShardId must follow the pattern
shardId prefix, 20-digit timestamp and 0-36 or more characters separated by '-'

## Actual behavior

The shardId follows the pattern
shardId prefix, 12 0s and 33 characters separated by '-'

# Steps to reproduce

Create a dynamodb table

## Command used to start LocalStack

I'm using docker and docker compose to run localstack


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

aws --endpoint-url=http://localhost:4566 dynamodb create-table \
    --table-name temp4 \
    --attribute-definitions AttributeName=partition_key,AttributeType=S AttributeName=sort_key,AttributeType=S \
    --key-schema AttributeName=partition_key,KeyType=HASH AttributeName=sort_key,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=100,WriteCapacityUnits=100 \
    --stream-specification StreamEnabled=true,StreamViewType=NEW_AND_OLD_IMAGES


"""
    Extracts a Zipfile entry and preserves permissions
    """
    zip_ref.extract(file_entry.filename, path=target_dir)
    out_path = os.path.join(target_dir, file_entry.filename)
    perm = file_entry.external_attr >> 16
    os.chmod(out_path, perm or 0o777)
def untar(path, target_dir):
    mode = 'r:gz' if path.endswith('gz') else 'r'
    with tarfile.open(path, mode) as tar:
        tar.extractall(path=target_dir)
def zip_contains_jar_entries(content, jar_path_prefix=None, match_single_jar=True):
    try:
        with tempfile.NamedTemporaryFile() as tf:
            tf.write(content)
            tf.flush()
            with zipfile.ZipFile(tf.name, 'r') as zf:
                jar_entries = [e for e in zf.infolist() if e.filename.lower().endswith('.jar')]
                if match_single_jar and len(jar_entries) == 1 and len(zf.infolist()) == 1:
                    return True
                matching_prefix = [e for e in jar_entries if
                    not jar_path_prefix or e.filename.lower().startswith(jar_path_prefix)]
                return len(matching_prefix) > 0
    except Exception:
        return False
def is_jar_archive(content):