Azure Cosmos DB Sink Connector for Confluent Cloud

The fully-managed Azure Cosmos DB Sink connector for Confluent Cloud writes data to a Microsoft Azure Cosmos database. The connector polls data from Apache Kafka® and writes to database containers.

Features

The Azure Cosmos DB Sink connector supports the following features:

  • Topic mapping: Maps the Kafka Topic to the Azure Cosmos DB container.
  • Multiple key strategies:
    • FullKeyStrategy: The ID generated is the Kafka record key. This is the default option.
    • KafkaMetadataStrategy: The ID generated is a concatenation of the Kafka topic, partition, and offset. For example: ${topic}-${partition}-${offset}.
    • ProvidedInKeyStrategy: The ID generated is the id field found in the key object.
    • ProvidedInValueStrategy: The ID generated is the id field found in the value object. Every record must have (lower case) id field. This is an Azure Cosmos DB requirement. See the lower case id prerequisite.

The following shows an example of each strategy and the resulting id in Azure Cosmos.

ID Strategies

ID strategies

For more information and examples to use with the Confluent Cloud API for Connect, see the Confluent Cloud API for Managed and Custom Connectors section.

Limitations

Be sure to review the following information.

Quick Start

Use this quick start to get up and running with the Confluent Cloud Azure Cosmos DB Sink connector. The quick start provides the basics of selecting the connector and configuring it to stream Kafka events to an Azure Cosmos DB container.

Prerequisites
  • Authorized access to a Confluent Cloud cluster on Azure.

  • The Confluent CLI installed and configured for the cluster. See Install the Confluent CLI.

  • Schema Registry must be enabled to use a Schema Registry-based format (for example, Avro, JSON_SR (JSON Schema), or Protobuf). See Schema Registry Enabled Environments for additional information.

  • At least one source Kafka topic must exist in your Confluent Cloud cluster before creating the sink connector.

  • The Azure Cosmos DB and the Kafka cluster must be in the same region.

  • The Azure Cosmos DB requires an id field in every record. See ID strategies for an example of how each of these works. The following strategies are provided to generate the ID:

    • FullKeyStrategy: The ID generated is the Kafka record key. This is the default option.

    • KafkaMetadataStrategy: The ID generated is a concatenation of the Kafka topic, partition, and offset. For example: ${topic}-${partition}-${offset}.

    • ProvidedInKeyStrategy: The ID generated is the id field found in the key object.

    • ProvidedInValueStrategy: The ID generated is the id field found in the value object. If you select this ID strategy, you must create a new field named id. You can also use the following ksqlDB statement. The example below uses a topic named orders.

      CREATE STREAM ORDERS_STREAM WITH (
         KAFKA_TOPIC = 'orders',
         VALUE_FORMAT = 'AVRO'
         );
      CREATE STREAM ORDER_AUGMENTED AS
         SELECT
            ORDERID AS `id`,
              ORDERTIME,
              ITEMID,
              ORDERUNITS,
              ADDRESS
         FROM  ORDERS_STREAM;
      

Note

  • The connector supports Upsert based on id.
  • The connector does not support Delete for tombstone records.

Using the Confluent Cloud Console

Step 1: Launch your Confluent Cloud cluster

See the Quick Start for Confluent Cloud for installation instructions.

Step 2: Add a connector

In the left navigation menu, click Connectors. If you already have connectors in your cluster, click + Add connector.

Step 3: Select your connector

Click the Azure Cosmos DB sink connector card.

Azure Cosmos DB Sink Connector Card

Step 4: Enter the connector details

Note

  • Ensure you have all your prerequisites completed.
  • An asterisk ( * ) designates a required entry.

At the Add Azure Cosmos DB Sink Connector screen, complete the following:

If you’ve already populated your Kafka topics, select the topics you want to connect from the Topics list.

To create a new topic, click +Add new topic.

Step 5: Check for records

Verify that records are being produced in your Azure Cosmos database.

For more information and examples to use with the Confluent Cloud API for Connect, see the Confluent Cloud API for Managed and Custom Connectors section.

Tip

When you launch a connector, a Dead Letter Queue topic is automatically created. See Confluent Cloud Dead Letter Queue for details.

Using the Confluent CLI

Complete the following steps to set up and run the connector using the Confluent CLI.

Note

Make sure you have all your prerequisites completed.

Step 1: List the available connectors

Enter the following command to list available connectors:

confluent connect plugin list

Step 2: List the connector configuration properties

Enter the following command to show the connector configuration properties:

confluent connect plugin describe <connector-plugin-name>

The command output shows the required and optional configuration properties.

Step 3: Create the connector configuration file

Create a JSON file that contains the connector configuration properties. The following example shows the required connector properties.

{
  "name": "CosmosDbSinkConnector_0",
  "config": {
    "connector.class": "CosmosDbSink",
    "name": "CosmosDbSinkConnector_0",
    "input.data.format": "AVRO",
    "kafka.auth.mode": "KAFKA_API_KEY",
    "kafka.api.key": "****************",
    "kafka.api.secret": "**********************************************",
    "topics": "pageviews",
    "connect.cosmos.connection.endpoint": "https://myaccount.documents.azure.com:443/",
    "connect.cosmos.master.key": "****************************************",
    "connect.cosmos.databasename": "myDBname",
    "connect.cosmos.containers.topicmap": "pageviews#Container2",
    "cosmos.id.strategy": "FullKeyStrategy",
    "tasks.max": "1"
  }
}

Note the following property definitions:

  • "connector.class": Identifies the connector plugin name.
  • "input.data.format": Sets the input Kafka record value format (data coming from the Kafka topic). Valid entries are AVRO, JSON_SR, PROTOBUF, or JSON. You must have Confluent Cloud Schema Registry configured if using a schema-based message format (for example, Avro, JSON_SR (JSON Schema), or Protobuf).
  • "name": Sets a name for your new connector.
  • "kafka.auth.mode": Identifies the connector authentication mode you want to use. There are two options: SERVICE_ACCOUNT or KAFKA_API_KEY (the default). To use an API key and secret, specify the configuration properties kafka.api.key and kafka.api.secret, as shown in the example configuration (above). To use a service account, specify the Resource ID in the property kafka.service.account.id=<service-account-resource-ID>. To list the available service account resource IDs, use the following command:

    confluent iam service-account list
    

    For example:

    confluent iam service-account list
    
       Id     | Resource ID |       Name        |    Description
    +---------+-------------+-------------------+-------------------
       123456 | sa-l1r23m   | sa-1              | Service account 1
       789101 | sa-l4d56p   | sa-2              | Service account 2
    
  • "connect.cosmos.connection.endpoint": A URI with the form https://ccloud-cosmos-db-1.documents.azure.com:443/.

  • "connect.cosmos.master.key": The Azure Cosmos master key.

  • "connect.cosmos.databasename": The name of your Cosmos DB.

  • "connect.cosmos.containers.topicmap": A comma-delimited list of Kafka topics mapped to Cosmos DB containers. Note that this property only supports 1:1 mapping between topic and container name. For example: topic#container1,topic2#container2.

  • (Optional) "cosmos.id.strategy": Defaults to FullKeyStrategy. Enter one of the following strategies:

    • FullKeyStrategy: The ID generated is the Kafka record key.
    • KafkaMetadataStrategy: The ID generated is a concatenation of the Kafka topic, partition, and offset. For example: ${topic}-${partition}-${offset}.
    • ProvidedInKeyStrategy: The ID generated is the id field found in the key object. Every record must have (lower case) id field. This is an Azure Cosmos DB requirement. See Lower case id prerequisite.
    • ProvidedInValueStrategy: The ID generated is the id field found in the value object. Every record must have (lower case) id field. This is an Azure Cosmos DB requirement. See Lower case id prerequisite.

    See ID strategies for an example of how each of these works.

  • "tasks": The number of tasks to use with the connector. More tasks may improve performance.

Single Message Transforms: See the Single Message Transforms (SMT) documentation for details about adding SMTs using the CLI.

See Configuration Properties for all property values and descriptions.

Step 4: Load the properties file and create the connector

Enter the following command to load the configuration and start the connector:

confluent connect cluster create --config-file <file-name>.json

For example:

confluent connect cluster create --config-file azure-cosmos-sink-config.json

Example output:

Created connector CosmosDbSinkConnector_0 lcc-do6vzd

Step 4: Check the connector status.

Enter the following command to check the connector status:

confluent connect cluster list

Example output:

ID           |             Name              | Status  | Type | Trace
+------------+-------------------------------+---------+------+-------+
lcc-do6vzd   | CosmosDbSinkConnector_0       | RUNNING | sink |       |

Step 5: Check for records

..Verify that records are populating the endpoint.

For more information and examples to use with the Confluent Cloud API for Connect, see the Confluent Cloud API for Managed and Custom Connectors section.

Tip

When you launch a connector, a Dead Letter Queue topic is automatically created. See Confluent Cloud Dead Letter Queue for details.

Configuration Properties

Use the following configuration properties with the fully-managed connector. For self-managed connector property definitions and other details, see the connector docs in Self-managed connectors for Confluent Platform.

How should we connect to your data?

name

Sets a name for your connector.

  • Type: string
  • Valid Values: A string at most 64 characters long
  • Importance: high

Schema Config

schema.context.name

Add a schema context name. A schema context represents an independent scope in Schema Registry. It is a separate sub-schema tied to topics in different Kafka clusters that share the same Schema Registry instance. If not used, the connector uses the default schema configured for Schema Registry in your Confluent Cloud environment.

  • Type: string
  • Default: default
  • Importance: medium

Input messages

input.data.format

Sets the input Kafka record value format. Valid entries are AVRO, JSON_SR, PROTOBUF, or JSON. Note that you need to have Confluent Cloud Schema Registry configured if using a schema-based message format like AVRO, JSON_SR, and PROTOBUF.

  • Type: string
  • Importance: high

Kafka Cluster credentials

kafka.auth.mode

Kafka Authentication mode. It can be one of KAFKA_API_KEY or SERVICE_ACCOUNT. It defaults to KAFKA_API_KEY mode.

  • Type: string
  • Default: KAFKA_API_KEY
  • Valid Values: KAFKA_API_KEY, SERVICE_ACCOUNT
  • Importance: high
kafka.api.key

Kafka API Key. Required when kafka.auth.mode==KAFKA_API_KEY.

  • Type: password
  • Importance: high
kafka.service.account.id

The Service Account that will be used to generate the API keys to communicate with Kafka Cluster.

  • Type: string
  • Importance: high
kafka.api.secret

Secret associated with Kafka API key. Required when kafka.auth.mode==KAFKA_API_KEY.

  • Type: password
  • Importance: high

Which topics do you want to get data from?

topics

Identifies the topic name or a comma-separated list of topic names.

  • Type: list
  • Importance: high

How should we connect to your Azure Cosmos DB?

connect.cosmos.connection.endpoint

Cosmos endpoint URL. For example: https://connect-cosmosdb.documents.azure.com:443/.

  • Type: string
  • Importance: high
connect.cosmos.master.key

Cosmos connection master (primary) key.

  • Type: password
  • Importance: high
connect.cosmos.databasename

Cosmos target database to write records into.

  • Type: string
  • Importance: high
connect.cosmos.containers.topicmap

A comma delimited list of Kafka topics mapped to Cosmos containers. For example: topic1#con1,topic2#con2.

  • Type: string
  • Importance: high

Database details

cosmos.id.strategy

The IdStrategy class name to use for generating a unique document id (id). FullKeyStrategy uses the full record key as ID. KafkaMetadataStrategy uses a concatenation of the kafka topic, partition, and offset as ID, with dashes as separator. i.e. ${topic}-${partition}-${offset}. ProvidedInKeyStrategy and ProvidedInValueStrategy use the id field found in the key and value objects respectively as ID.

  • Type: string
  • Default: FullKeyStrategy
  • Valid Values: FullKeyStrategy, KafkaMetadataStrategy, ProvidedInKeyStrategy, ProvidedInValueStrategy
  • Importance: low

Consumer configuration

max.poll.interval.ms

The maximum delay between subsequent consume requests to Kafka. This configuration property may be used to improve the performance of the connector, if the connector cannot send records to the sink system. Defaults to 300000 milliseconds (5 minutes).

  • Type: long
  • Default: 300000 (5 minutes)
  • Valid Values: [60000,…,1800000]
  • Importance: low
max.poll.records

The maximum number of records to consume from Kafka in a single request. This configuration property may be used to improve the performance of the connector, if the connector cannot send records to the sink system. Defaults to 500 records.

  • Type: long
  • Default: 500
  • Valid Values: [1,…,500]
  • Importance: low

Number of tasks for this connector

tasks.max

Maximum number of tasks for the connector.

  • Type: int
  • Valid Values: [1,…]
  • Importance: high

Next Steps

For an example that shows fully-managed Confluent Cloud connectors in action with Confluent Cloud ksqlDB, see the Cloud ETL Demo. This example also shows how to use Confluent CLI to manage your resources in Confluent Cloud.

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