hlteoh37 commented on code in PR #179:
URL: 
https://github.com/apache/flink-connector-aws/pull/179#discussion_r1832476673


##########
docs/content/docs/connectors/datastream/dynamodb.md:
##########
@@ -23,16 +23,143 @@ KIND, either express or implied.  See the License for the
 specific language governing permissions and limitations
 under the License.
 -->
+# Amazon DynamoDB Connector
+The DynamoDB connector allows users to read/write from [Amazon 
DynamoDB](https://aws.amazon.com/dynamodb/).
 
-# Amazon DynamoDB Sink
+As a source, the connector allows users to read change data capture stream 
from DynamoDB tables using [Amazon DynamoDB 
Streams](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html).
 
-The DynamoDB sink writes to [Amazon DynamoDB](https://aws.amazon.com/dynamodb) 
using the [AWS v2 SDK for 
Java](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/home.html).
 Follow the instructions from the [Amazon DynamoDB Developer 
Guide](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/getting-started-step-1.html)
-to setup a table.
+As a sink, the connector allows users to write directly to Amazon DynamoDB 
tables using the [BatchWriteItem 
API](https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchWriteItem.html).
 
+
+## Dependency
+
+Apache Flink ships the connector for users to utilize.
 
 To use the connector, add the following Maven dependency to your project:
 
 {{< connector_artifact flink-connector-dynamodb dynamodb >}}
 
+
+## Amazon DynamoDB Streams Source
+
+The DynamoDB streams source reads from [Amazon DynamoDB 
Streams](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html)
 using the [AWS v2 SDK for 
Java](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/home.html).
+Follow the instructions from the [AWS 
docs](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html)
 to set up and configure the change data capture stream. 
+
+The actual events streamed to the DynamoDB Stream depends on the 
`StreamViewType` specified on the DynamoDB Stream itself. 
+See [AWS 
docs](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html#Streams.Enabling)
 for more information.
+
+### Usage
+
+The `DynamoDbStreamsSource` provides a fluent builder to construct an instance 
of the `DynamoDbStreamsSource`.
+The code snippet below illustrates how to do so.
+
+{{< tabs "ec24a4ae-6a47-11ed-a1eb-0242ac120001" >}}
+{{< tab "Java" >}}
+```java
+// Configure the DynamodbStreamsSource
+Configuration sourceConfig = new Configuration();
+sourceConfig.set(DynamodbStreamsSourceConfigConstants.STREAM_INITIAL_POSITION, 
DynamodbStreamsSourceConfigConstants.InitialPosition.TRIM_HORIZON); // This is 
optional, by default connector will read from LATEST
+
+// Create a new DynamoDbStreamsSource to read from the specified DynamoDB 
Stream.
+DynamoDbStreamsSource<String> dynamoDbStreamsSource = 
+        DynamoDbStreamsSource.<String>builder()
+                
.setStreamArn("arn:aws:dynamodb:us-east-1:1231231230:table/test/stream/2024-04-11T07:14:19.380")
+                .setSourceConfig(sourceConfig)
+                // User must implement their own deserialization schema to 
translate change data capture events into custom data types    
+                .setDeserializationSchema(dynamodbDeserializationSchema) 
+                .build();
+
+StreamExecutionEnvironment env = 
StreamExecutionEnvironment.getExecutionEnvironment();
+
+// Specify watermarking strategy and the name of the DynamoDB Streams Source 
operator.
+// Specify return type using TypeInformation.
+// Specify also UID of operator in line with Flink best practice.
+DataStream<String> cdcEventsWithEventTimeWatermarks = 
env.fromSource(dynamoDbStreamsSource, 
WatermarkStrategy.<String>forMonotonousTimestamps().withIdleness(Duration.ofSeconds(1)),
 "DynamoDB Streams source")
+        .returns(TypeInformation.of(String.class))
+        .uid("custom-uid");
+```
+{{< /tab >}}
+{{< tab "Scala" >}}
+```scala
+// Configure the DynamodbStreamsSource
+val sourceConfig = new Configuration()
+sourceConfig.set(DynamodbStreamsSourceConfigConstants.STREAM_INITIAL_POSITION, 
DynamodbStreamsSourceConfigConstants.InitialPosition.TRIM_HORIZON) // This is 
optional, by default connector will read from LATEST
+
+// Create a new DynamoDbStreamsSource to read from the specified DynamoDB 
Stream.
+val dynamoDbStreamsSource = DynamoDbStreamsSource.builder[String]()
+  
.setStreamArn("arn:aws:dynamodb:us-east-1:1231231230:table/test/stream/2024-04-11T07:14:19.380")
+  .setSourceConfig(sourceConfig)
+  // User must implement their own deserialization schema to translate change 
data capture events into custom data types    
+  .setDeserializationSchema(dynamodbDeserializationSchema)
+  .build()
+
+val env = StreamExecutionEnvironment.getExecutionEnvironment()
+
+// Specify watermarking strategy and the name of the DynamoDB Streams Source 
operator.
+// Specify return type using TypeInformation.
+// Specify also UID of operator in line with Flink best practice.
+val cdcEventsWithEventTimeWatermarks = env.fromSource(dynamoDbStreamsSource, 
WatermarkStrategy.<String>forMonotonousTimestamps().withIdleness(Duration.ofSeconds(1)),
 "DynamoDB Streams source")
+  .uid("custom-uid")
+```
+{{< /tab >}}
+{{< /tabs >}}
+
+The above is a simple example of using the `DynamoDbStreamsSource`.
+- The DynamoDB Stream being read from is specified using the stream ARN.
+- Configuration for the `Source` is supplied using an instance of Flink's 
`Configuration` class.
+  The configuration keys can be taken from `AWSConfigOptions` (AWS-specific 
configuration) and `DynamodbStreamsSourceConfigConstants` (DynamoDB Streams 
Source configuration).
+- The example specifies the starting position as `TRIM_HORIZON` (see 
[Configuring Starting Position](#configuring-starting-position) for more 
information).
+- The deserialization format is as `SimpleStringSchema` (see [Deserialization 
Schema](#deserialization-schema) for more information).
+- The distribution of shards across subtasks is controlled using the 
`UniformShardAssigner`  (see [Shard Assignment 
Strategy](#shard-assignment-strategy) for more information).

Review Comment:
   Sharp eye! Even ChatGPT didn't tell me!



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