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Apache Kafka is an open-source stream processing platform that is primarily used for building real-time data pipelines and event-driven applications. When paired with the CData JDBC Driver for Amazon DynamoDB, Kafka can work with live Amazon DynamoDB data. This article describes how to connect, access and stream Amazon DynamoDB data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the Amazon DynamoDB data received using Kafka infrastructure in the Confluent Platform.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Amazon DynamoDB data. When you issue complex SQL queries to Amazon DynamoDB, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon DynamoDB and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Amazon DynamoDB data using native data types.
Before connecting the CData JDBC Driver for streaming Amazon DynamoDB data in Apache Kafka Topics, install and configure the following in the client Linux-based system.
mkdir AmazonDynamoDB
mv AmazonDynamoDBJDBCDriver.zip AmazonDynamoDB/
unzip AmazonDynamoDBJDBCDriver.zip
ls cd lib/
cp -r /path/to/CData JDBC Driver for Amazon DynamoDB/lib/* /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/ cd /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
java -jar cdata.jdbc.amazondynamodb.jar -l
confluent local services start
This starts all the Confluent Services like Zookeeper, Kafka, Schema Registry, Kafka REST, Kafka CONNECT, ksqlDB and Control Center. You are now ready to use the CData JDBC driver for Amazon DynamoDB to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.
๐ Start the Confluent local services curl --location 'server_address:8083/connectors'
--header 'Content-Type: application/json'
--data '{
"name": "jdbc_source_cdata_amazondynamodb_01",
"config": {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"connection.url": "jdbc:amazondynamodb:Access Key=xxx;Secret Key=xxx;Domain=amazonaws.com;Region=OREGON;",
"topic.prefix": "amazondynamodb-01-",
"mode": "bulk"
}
}'
Let us understand the fields used in the HTTP POST body (shown above):
For assistance in constructing the JDBC URL, use the connection string designer built into the CData JDBC Driver for Amazon DynamoDB. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.amazondynamodb.jar
Fill in the connection properties and copy the connection string to the clipboard.
The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)This request adds all the tables/contents from Amazon DynamoDB as Kafka Topics.
Note: The IP Address (server) to POST the request (shown above) is the Linux Network IP Address.
ksql list topics;๐ List the Kafka Topics (BigCommerce is shown)
PRINT topic FROM BEGINNING;
To access the Confluent Control Center user interface, ensure to run the "confluent local services" as described in the above section and type http://<server address>:9021/clusters/ on your local browser.
๐ Connect with Confluent Control CenterDownload a free, 30-day trial of the CData JDBC Driver for Amazon DynamoDB and start streaming Amazon DynamoDB data into Apache Kafka. Reach out to our Support Team if you have any questions.
Download a free trial of the Amazon DynamoDB Driver to get started:
Download NowLearn more:
๐ Amazon DynamoDB IconConnect Java applications with the DynamoDB real-time NoSQL cloud database service. Use Amazon DynamoDB as the big data backend that powers your Java/J2EE applications.