<a id="cc-solace-source"></a>

# Solace Source Connector for Confluent Cloud

The fully managed Solace Source connector for Confluent Cloud moves messages from a
[Solace PubSub+ event broker](https://solace.com/products/event-broker/software/)
to an Apache Kafka® topic.

This quick start is for the fully managed Confluent Cloud connector. If you are
installing the connector locally for Confluent Platform, see [Solace Source Connector for
Confluent Platform](https://docs.confluent.io/kafka-connectors/solace/source/current/).

If you require private networking for fully managed connectors, make sure to set up the proper
networking beforehand. For more information, see [Manage Networking for Confluent Cloud Connectors](networking/internet-resource.md#clusters-connect-cloud).

## Features

The Solace Source connector includes the following features:

* **At least once delivery**: The connector guarantees that records are delivered at least once to the Kafka topic, with potential duplicates if the connector restarts.
* **Supports multiple tasks**: The connector supports running one or more tasks. More tasks may improve performance when processing multiple messages.
* **JMS message type support**: The connector handles `TextMessage` and `BytesMessage` JMS message types from the Solace broker.
* **Message metadata preservation**: The connector preserves message metadata including `MessageID`, timestamp, delivery mode, and message properties using standardized `io.confluent.connect.jms` schemas.
* **Output data formats**: The connector supports Avro, JSON Schema, Protobuf, and JSON (schemaless) output data formats. [Schema Registry](../get-started/schema-registry.md#cloud-sr-config) must be enabled to use a Schema Registry-based format (for example, Avro, JSON_SR (JSON Schema), or Protobuf).

For more information and examples to use with the Confluent Cloud API for Connect,
see the [Confluent Cloud API for Connect Usage Examples](connect-api-section.md#ccloud-connect-api) section.

## Limitations

Be sure to review the following information.

* For connector limitations, see [Solace Source Connector](limits.md#cc-solace-source-limits) limitations.
* If you plan to use one or more Single Message Transformations (SMTs), see [SMT Limitations](single-message-transforms.md#cc-single-message-transforms-limitations).

## Quick Start

Use this quick start to get up and running with the Confluent Cloud Solace Source
connector. The quick start provides the basics of selecting the connector and
configuring it to stream events from Solace to Kafka.

<a id="cc-solace-source-prereqs"></a>

### Prerequisites

- Authorized access to a [Confluent Cloud](https://www.confluent.io/confluent-cloud/) cluster on Amazon Web Services (AWS), Microsoft Azure (Azure), or Google Cloud.
- The Confluent CLI installed and configured for the cluster. See [Install the Confluent CLI](https://docs.confluent.io/confluent-cli/current/install.html).
- [Schema Registry](../get-started/schema-registry.md#cloud-sr-config) must be enabled to use a Schema Registry-based format (for example, Avro, JSON_SR (JSON Schema), or Protobuf).
- A Solace PubSub+ event broker with valid account credentials and connection details, including the host, Message VPN (if required), and JMS destination name.
- For networking considerations, see [Networking and DNS](overview.md#connect-internet-access-resources). To use a set of public egress IP addresses, see [Public Egress IP Addresses for Confluent Cloud Connectors](static-egress-ip.md#cc-static-egress-ips).

- Kafka cluster credentials. The following lists the different ways you can provide credentials.
  - Enter an existing [service account](service-account.md#s3-cloud-service-account) resource ID.
  - Create a Confluent Cloud [service account](service-account.md#s3-cloud-service-account) for the connector. Make sure to review the ACL entries required in the [service account documentation](service-account.md#s3-cloud-service-account). Some connectors have specific ACL requirements.
  - Create a Confluent Cloud API key and secret. To create a key and secret, you can use [confluent api-key create](https://docs.confluent.io/confluent-cli/current/command-reference/api-key/confluent_api-key_create.html) *or* you can autogenerate the API key and secret directly in the Cloud Console when setting up the connector.

### Using the Confluent Cloud Console

#### Step 1: Launch your Confluent Cloud cluster

To create and launch a Kafka cluster in Confluent Cloud, see [Create a kafka cluster in Confluent Cloud](../get-started/index.md#cloud-create-kafka-cluster).

#### 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 **Solace Source** connector card.

![Solace Source Connector Card](images/ccloud-solace-source-icon.png)

<a id="cc-solace-source-setup-connection"></a>

#### Step 4: Enter the connector details

At the **Add Solace Source Connector** screen, complete the following:

#### NOTE
* Ensure you have all your [prerequisites](#cc-solace-source-prereqs) completed.
* An asterisk ( \* ) designates a required entry.

### Topic selection

Select the topic you want to send data to from the **Topics** list.

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

### Kafka access

1. Select the way you want to provide **Kafka Cluster credentials**. You can
   choose one of the following options:
   - **My account**: This setting allows your connector to globally access everything
     that you have access to. With a user account, the connector uses an API key and
     secret to access the Kafka cluster. This option is not recommended for production.
   - **Service account**: This setting limits the access for your connector by using a
     [service account](service-account.md#s3-cloud-service-account). This option is recommended for
     production.
   - **Use an existing API key**: This setting allows you to specify an API key and a
     secret pair. You can use an existing pair or create a new one. This method is not
     recommended for production environments.

   #### NOTE
   Freight clusters support only service accounts for Kafka authentication.
2. Click **Continue**.

### Authentication

1. Configure the authentication properties:
   - **Solace Host**: Sets the IP address or hostname and optional port of the message broker to connect to. The
     default port is `55555`. Specify multiple hosts as a comma-separated list.
   - **Solace Username**: Sets the username for connecting to Solace.
   - **Solace Password**: Sets the password for connecting to Solace.
   - **Message VPN**: Sets the Message VPN to use when connecting to the Solace message broker. The default is Message VPN `default`.
   - **SSL Keystore**: Specifies the SSL keystore for a Solace SSL-enabled VPN.
   - **SSL Keystore Password**: Specifies the keystore password for a Solace SSL-enabled VPN.
   - **SSL Truststore**: Specifies the truststore containing the server CA certificate for a Solace SSL-enabled VPN.
   - **SSL Truststore Password**: Specifies the truststore password for a Solace SSL-enabled VPN.
   - **Validate SSL Certificate**: Validates SSL certificates.
2. Click **Continue**.

### Configuration

- **Dynamic Durables**: Enables creation of queues or topic endpoints on the message broker. Set to `true` if the queue or topic endpoint does not already exist.
- **JMS Destination Name**: Sets the name of the JMS destination (queue or topic) to read messages from.
- **JMS Destination Type**: Sets the type of JMS destination. Valid entries are `queue` or `topic`.

**Output messages**

- **Select output record value format**: Sets the output Kafka record value format. Valid entries are `AVRO`, `JSON_SR`,
  `PROTOBUF`, or `JSON`.

  #### NOTE
  You must have Confluent Cloud Schema Registry configured if using a schema-based message format like
  `AVRO`, `JSON_SR`, or `PROTOBUF`.

### **Show advanced configurations**

- **Schema context**: Select a schema context to use for this connector, if using
  a schema-based data format. This property defaults to the **Default** context,
  which configures the connector to use the default schema set up for Schema Registry in your
  Confluent Cloud environment. A schema context allows you to use separate schemas (like
  schema sub-registries) tied to topics in different Kafka clusters that share the
  same Schema Registry environment. For example, if you select a non-default context, a
  **Source** connector uses only that schema context to register a schema and a
  **Sink** connector uses only that schema context to read from. For more
  information about setting up a schema context, see [What are schema contexts and when should you use them?](../sr/faqs-cc.md#faq-schema-contexts).
- **Client Description**: Sets the application description on the message broker for the data connection.
- **Batch Size**: Sets the maximum number of records a connector task can read from the Solace broker before
  writing to Kafka. The task holds these records until they are acknowledged in Kafka, so this
  setting may affect memory usage.
- **Unacknowledged Messages Limit**: Sets the maximum number of messages per task that can be received from Solace brokers and
  produced to Kafka before the task acknowledges the Solace session and messages. If the task
  fails and restarts, this is the maximum number of Solace messages the task may duplicate in Kafka.
- **Maximum Poll Duration (ms)**: Sets the maximum amount of time each task can spend building a batch. The batch is closed and
  sent to Kafka if not enough messages are read during the allotted time.
- **Character Encoding**: Sets the character encoding to use when receiving the message.
- **Durable Subscription**: Specifies whether the connector tasks’ subscription to a Solace topic is durable. Durable
  subscriptions require a subscription name set via `jms.subscription.name`.
- **Subscription Name**: Sets the name of the Solace subscription. Supported only in durable subscriptions
  (`jms.subscription.durable = true`) and applicable only to Solace topics.
- **Message Selector**: Sets the message selector to apply to messages in the destination.

**Auto-restart policy**

- **Enable Connector Auto-restart**: Enables the auto-restart behavior of the connector and its
  task in the event of user-actionable errors. Defaults to `true`, enabling the connector to
  automatically restart in case of user-actionable errors. Set this property to `false` to
  disable auto-restart for failed connectors. If disabled, you must manually restart the connector.

**Additional Configs**

- **Value Converter Decimal Format**: Specifies the `JSON` or `JSON_SR` serialization format for Connect `DECIMAL` logical type values with two allowed literals:
  `BASE64` to serialize `DECIMAL` logical types as base64 encoded binary data, and
  `NUMERIC` to serialize `DECIMAL` logical type values in `JSON` or `JSON_SR` as a number representing the decimal value.
- **Key Converter Schema ID Serializer**: The class name of the schema ID serializer for keys. This is used to serialize schema IDs in the message headers.
- **Value Converter Reference Subject Name Strategy**: Sets the subject reference name strategy for values. Valid entries are `DefaultReferenceSubjectNameStrategy` or `QualifiedReferenceSubjectNameStrategy`. You can use this strategy only with `PROTOBUF` format; the default strategy is `DefaultReferenceSubjectNameStrategy`.
- **Value Converter Connect Meta Data**: Enables the Connect converter to add its metadata to the output schema. Applies to Avro converters.
- **Value Converter Value Subject Name Strategy**: Determines how to construct the subject name under which the value schema is registered with Schema Registry.
- **Key Converter Key Subject Name Strategy**: Determines how to construct the subject name for key schema registration.
- **Value Converter Schema ID Serializer**: The class name of the schema ID serializer for values. This is used to serialize schema IDs in the message headers.

**Transforms**

- **Single Message Transformations**: To add a new SMT, see [Add transforms](single-message-transforms.md#cc-single-message-transforms-ui).
  For more information about unsupported SMTs, see
  [Unsupported transformations](single-message-transforms.md#cc-single-message-transforms-unsupported-transforms).

For all property values and definitions, see [Configuration Properties](#cc-solace-source-config-properties).

1. Click **Continue**.

### Sizing

Based on the number of topic partitions you select, you receive a
recommended number of tasks.

1. To change the number of recommended tasks, enter the number of
   [tasks](/platform/current/connect/concepts.html#tasks) for the connector to use in
   the **Tasks** field.
2. Click **Continue**.

### Review and Launch

1. Verify the connection details.
2. Click **Launch**.

   The status for the connector changes from Provisioning to Running.

#### Step 5: Check the Kafka topic

After the connector is running, verify that messages are populating your Kafka topic.

For more information and examples to use with the Confluent Cloud API for Connect,
see the [Confluent Cloud API for Connect Usage Examples](connect-api-section.md#ccloud-connect-api) section.

### 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](#cc-solace-source-prereqs) completed.

#### Step 1: List the available connectors

Enter the following command to list available connectors:

```none
confluent connect plugin list
```

#### Step 2: List the connector configuration properties

Enter the following command to show the connector configuration properties:

```none
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.

```none
{
  "name": "SolaceSource_0",
  "config": {
    "connector.class": "SolaceSource",
    "name": "SolaceSource_0",
    "kafka.auth.mode": "KAFKA_API_KEY",
    "kafka.api.key": "<my-kafka-api-key>",
    "kafka.api.secret": "<my-kafka-api-secret>",
    "kafka.topic": "<topic-name>",
    "output.data.format": "AVRO",
    "solace.host": "<host>",
    "solace.username": "<username>",
    "solace.password": "<password>",
    "jms.destination.name": "<destination-name>",
    "jms.destination.type": "queue",
    "tasks.max": "1"
  }
}
```

Note the following property definitions:

* `"name"`: Sets a name for your new connector.
* `"connector.class"`: Identifies the connector plugin name.

* `"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](service-account.md#s3-cloud-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:
  ```bash
  confluent iam service-account list
  ```

  For example:
  ```bash
  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
  ```

* `"kafka.topic"`: The Kafka topic name where you want data sent.
* `"output.data.format"`: Sets the output Kafka record value format. Valid entries are `AVRO`, `JSON_SR`, `PROTOBUF`, or `JSON`. [Schema Registry](../get-started/schema-registry.md#cloud-sr-config) must be enabled to use a Schema Registry-based format (for example, Avro, JSON_SR (JSON Schema), or Protobuf).
* `"solace.host"`: The IP address or hostname and port (optional) of the message broker to connect to. If no port is
  specified, the default port number is `55555`. To specify a prioritized list of hosts,
  list each host separated by a comma.
* `"solace.username"` and `"solace.password"`: The credentials used to authenticate with the Solace message broker.
* `"jms.destination.name"`: The name of the JMS destination (queue or topic) to read messages from.
* `"jms.destination.type"`: The type of JMS destination. Valid entries are `queue` or `topic`.
* `"tasks.max"`: Maximum [tasks](/platform/current/connect/concepts.html#tasks) for the connector to use. More tasks may improve performance.

For information about adding SMTs using the Confluent CLI, see [Single Message Transformations](single-message-transforms.md#cc-single-message-transforms).

See [Configuration Properties](#cc-solace-source-config-properties) for all property values and
descriptions.

#### Step 4: Load the configuration file and create the connector

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

```none
confluent connect cluster create --config-file <file-name>.json
```

For example:

```none
confluent connect cluster create --config-file solace-source-config.json
```

Example output:

```none
Created connector SolaceSource_0 lcc-ix4dl
```

#### Step 5: Check the connector status

Enter the following command to check the connector status:

```none
confluent connect cluster list
```

Example output:

```none
ID          |       Name         | Status  |  Type
+-----------+--------------------+---------+--------+
lcc-ix4dl   | SolaceSource_0     | RUNNING | source
```

#### Step 6: Check the Kafka topic

After the connector is running, verify that messages are populating your Kafka topic.

For more information and examples to use with the Confluent Cloud API for Connect,
see the [Confluent Cloud API for Connect Usage Examples](connect-api-section.md#ccloud-connect-api) section.

<a id="cc-solace-source-config-properties"></a>

## 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](/platform/current/connect/kafka_connectors.html).

### How should we connect to your data?

`name`
: Sets a name for your connector.
  <br/>
  * Type: string
  * Valid Values: A string at most 64 characters long
  * 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, whenever possible.
  <br/>
  * Type: string
  * Valid Values: SERVICE_ACCOUNT, KAFKA_API_KEY
  * Importance: high

`kafka.api.key`
: Kafka API Key. Required when kafka.auth.mode==KAFKA_API_KEY.
  <br/>
  * 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.
  <br/>
  * Type: string
  * Importance: high

`kafka.api.secret`
: Secret associated with Kafka API key. Required when kafka.auth.mode==KAFKA_API_KEY.
  <br/>
  * Type: password
  * Importance: high

### Which topic do you want to send data to?

`kafka.topic`
: Identifies the topic name to write the data to.
  <br/>
  * Type: string
  * 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.
  <br/>
  * Type: string
  * Default: default
  * Importance: medium

### Output messages

`output.data.format`
: Sets the output 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
  <br/>
  * Type: string
  * Default: JSON_SR
  * Importance: high

### Solace Connection

`solace.host`
: IP or hostname and port (optional) of the message broker to connect to. If a port is not specified, the default port number is `55555`. To specify a prioritized list of hosts, list each host separated by a comma.
  <br/>
  * Type: string
  * Importance: high

`solace.username`
: The username used when connecting to Solace.
  <br/>
  * Type: string
  * Importance: high

`solace.password`
: The password used when connecting to Solace.
  <br/>
  * Type: password
  * Importance: high

`solace.vpn`
: Message VPN to use when connecting to the Solace message broker. Default: `default`.
  <br/>
  * Type: string
  * Default: default
  * Importance: medium

`solace.dynamic.durables`
: Whether the connector creates queues or topic endpoints on the Solace message broker. Set to `true` only if the queue does not exist. If the queue already exists, set to `false` to avoid property mismatch errors. Default: `false`.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: low

`solace.client.description`
: The application description on the Solace message broker for the data connection. Default: `Kafka Connect`.
  <br/>
  * Type: string
  * Default: Kafka Connect
  * Importance: low

### Solace Session

`jms.destination.name`
: The name of the JMS destination (queue or topic) to read messages from.
  <br/>
  * Type: string
  * Importance: high

`jms.destination.type`
: The type of JMS destination, which is either `queue` or `topic`.
  <br/>
  * Type: string
  * Default: queue
  * Importance: high

`batch.size`
: The maximum number of records that a connector task might read from the Solace broker before writing to Kafka. The task holds these records until they are acknowledged in Kafka, so this might affect memory usage. The minimum value is `1` and the maximum is `2048`.
  <br/>
  * Type: int
  * Default: 1024
  * Valid Values: [1,…,2048]
  * Importance: medium

`max.pending.messages`
: The maximum number of messages per task that the task can receive from Solace brokers and produce to Kafka before it acknowledges the Solace session or messages. If the task fails and is restarted, this is the maximum number of Solace messages the task might duplicate in Kafka.
  <br/>
  * Type: int
  * Default: 4096
  * Importance: medium

`max.poll.duration`
: The maximum amount of time in milliseconds each task can build a batch. The connector closes the batch and sends it to Kafka if the task does not read enough messages in the allotted time. Default: `60000`.
  <br/>
  * Type: int
  * Default: 60000
  * Valid Values: [1,…,120000]
  * Importance: medium

`character.encoding`
: The character encoding to use while receiving the message. Default: `UTF-8`.
  <br/>
  * Type: string
  * Default: UTF-8
  * Importance: medium

`jms.subscription.durable`
: Whether the subscription of the connector tasks to a Solace topic is durable or not. Durable subscriptions require you to set a subscription name using `jms.subscription.name`.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`jms.subscription.name`
: The name of the Solace subscription. This setting applies only to durable subscriptions (`jms.subscription.durable = true`) and Solace topics.
  <br/>
  * Type: string
  * Importance: medium

`jms.message.selector`
: The message selector for filtering messages in the destination.
  <br/>
  * Type: string
  * Importance: medium

### Solace Secure Connection

`solace.ssl.keystore.file`
: The keystore file for the SSL-enabled VPN connection to Solace.
  <br/>
  * Type: password
  * Default: [hidden]
  * Importance: medium

`solace.ssl.keystore.password`
: The keystore password for the SSL-enabled VPN connection to Solace.
  <br/>
  * Type: password
  * Importance: medium

`solace.ssl.truststore.file`
: The truststore containing the server CA certificate for the SSL-enabled VPN connection to Solace.
  <br/>
  * Type: password
  * Default: [hidden]
  * Importance: medium

`solace.ssl.truststore.password`
: The truststore password for the SSL-enabled VPN connection to Solace.
  <br/>
  * Type: password
  * Importance: medium

`solace.ssl.validate.certificate`
: Set to `true` to validate SSL certificates. Default: `false`.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

### Number of tasks for this connector

`tasks.max`
: Maximum number of tasks for the connector.
  <br/>
  * Type: int
  * Valid Values: [1,…]
  * Importance: high

### Auto-restart policy

`auto.restart.on.user.error`
: Enable connector to automatically restart on user-actionable errors.
  <br/>
  * Type: boolean
  * Default: true
  * Importance: medium

### Additional Configs

`header.converter`
: The converter class for the headers. This is used to serialize and deserialize the headers of the messages.
  <br/>
  * Type: string
  * Importance: low

`producer.override.compression.type`
: The compression type for all data generated by the producer. Valid values are none, gzip, snappy, lz4, and zstd.
  <br/>
  * Type: string
  * Importance: low

`value.converter.allow.optional.map.keys`
: Allow optional string map key when converting from Connect Schema to Avro Schema. Applicable for Avro Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.auto.register.schemas`
: Specify if the Serializer should attempt to register the Schema.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.connect.meta.data`
: Allow the Connect converter to add its metadata to the output schema. Applicable for Avro Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.enhanced.avro.schema.support`
: Enable enhanced schema support to preserve package information and Enums. Applicable for Avro Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.enhanced.protobuf.schema.support`
: Enable enhanced schema support to preserve package information. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.flatten.unions`
: Whether to flatten unions (oneofs). Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.generate.index.for.unions`
: Whether to generate an index suffix for unions. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.generate.struct.for.nulls`
: Whether to generate a struct variable for null values. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.int.for.enums`
: Whether to represent enums as integers. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.latest.compatibility.strict`
: Verify latest subject version is backward compatible when use.latest.version is true.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.object.additional.properties`
: Whether to allow additional properties for object schemas. Applicable for JSON_SR Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.optional.for.nullables`
: Whether nullable fields should be specified with an optional label. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.optional.for.proto2`
: Whether proto2 optionals are supported. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.use.latest.version`
: Use latest version of schema in subject for serialization when auto.register.schemas is false.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.use.optional.for.nonrequired`
: Whether to set non-required properties to be optional. Applicable for JSON_SR Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.wrapper.for.nullables`
: Whether nullable fields should use primitive wrapper messages. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`value.converter.wrapper.for.raw.primitives`
: Whether a wrapper message should be interpreted as a raw primitive at root level. Applicable for Protobuf Converters.
  <br/>
  * Type: boolean
  * Importance: low

`key.converter.key.schema.id.serializer`
: The class name of the schema ID serializer for keys. This is used to serialize schema IDs in the message headers.
  <br/>
  * Type: string
  * Default: io.confluent.kafka.serializers.schema.id.PrefixSchemaIdSerializer
  * Importance: low

`key.converter.key.subject.name.strategy`
: How to construct the subject name for key schema registration.
  <br/>
  * Type: string
  * Default: TopicNameStrategy
  * Importance: low

`value.converter.decimal.format`
: Specify the JSON/JSON_SR serialization format for Connect DECIMAL logical type values with two allowed literals:
  <br/>
  BASE64 to serialize DECIMAL logical types as base64 encoded binary data and
  <br/>
  NUMERIC to serialize Connect DECIMAL logical type values in JSON/JSON_SR as a number representing the decimal value.
  <br/>
  * Type: string
  * Default: BASE64
  * Importance: low

`value.converter.flatten.singleton.unions`
: Whether to flatten singleton unions. Applicable for Avro and JSON_SR Converters.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: low

`value.converter.reference.subject.name.strategy`
: Set the subject reference name strategy for value. Valid entries are DefaultReferenceSubjectNameStrategy or QualifiedReferenceSubjectNameStrategy. Note that the subject reference name strategy can be selected only for PROTOBUF format with the default strategy being DefaultReferenceSubjectNameStrategy.
  <br/>
  * Type: string
  * Default: DefaultReferenceSubjectNameStrategy
  * Importance: low

`value.converter.value.schema.id.serializer`
: The class name of the schema ID serializer for values. This is used to serialize schema IDs in the message headers.
  <br/>
  * Type: string
  * Default: io.confluent.kafka.serializers.schema.id.PrefixSchemaIdSerializer
  * Importance: low

`value.converter.value.subject.name.strategy`
: Determines how to construct the subject name under which the value schema is registered with Schema Registry.
  <br/>
  * Type: string
  * Default: TopicNameStrategy
  * Importance: low

## Next Steps

For an example that shows fully managed Confluent Cloud connectors in action with
Confluent Cloud for Apache Flink, see the [Cloud ETL Demo](/platform/current/tutorials/examples/cloud-etl/docs/index.html).
This example also shows how to use Confluent CLI to manage your resources in
Confluent Cloud.

[![image](images/topology.png)](https://docs.confluent.io/platform/current/tutorials/examples/cloud-etl/docs/index.html)
