Salesforce Platform Event Sink Connector for Confluent Cloud

Salesforce platform events are user-defined publish-subscribe events. The fully-managed Salesforce Platform Event Sink connector for Confluent Cloud publishes platform events from Apache Kafka® topics to Salesforce.

The fully-managed Salesforce Platform Event Sink connector can be thought of as the inverse of the Platform Events Source connector. It is designed to read platform event records from a Kafka topic containing data streamed from the Platform Event Source connector. The connector then publishes this data as new platform events to the configured organization.

Note

This Quick Start is for the fully-managed Confluent Cloud connector. If you are installing the connector locally for Confluent Platform, see Salesforce Platform Event Sink Connector for Confluent Platform.
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.
The connector supports Salesforce up to API version 65.0.

Features

The Salesforce Platform Event Sink connector supports the following features:

At least once delivery: This connector guarantees that records from the Kafka topic are delivered at least once.
Supports multiple tasks: The connector supports running one or more tasks. More tasks may improve performance (that is, consumer lag is reduced with multiple tasks running).
Automatically creates topics: The following three topics are automatically created when the connector starts:
- Success topic
- Error topic
- Dead letter queue (DLQ) topic
The suffix for each topic name is the connector’s logical ID. In the example below, there are the three connector topics and one pre-existing Kafka topic named pageviews.

Connector Topics

If the records sent to the topic are not in the correct format, or if important fields are missing in the record, the errors are recorded in the error topic, and the connector continues to run.
Supported data formats: The connector supports Avro, JSON Schema (JSON-SR), and Protobuf input Kafka record value format formats. Schema Registry must be enabled to use these Schema Registry-based formats.

Supports Client Credentials flow: The connector supports authentication using the Client Credentials flow that enables connecting to Salesforce without exposing the user credentials. To use CLIENT_CREDENTIALS grant type, you must enable the Client Credentials flow in your connected Salesforce application and assign an integration user.

Supports multiple platform events: The connector allows you to configure up to five platform events in a single connector instance. You can select the number of events and configure them individually. Each selected topic must be mapped to a specific event, and a single topic cannot contain records for multiple events. For each event, you must provide the event name and a comma-separated list of associated topics. If you select only one event, all selected topics are mapped to that event by default.

For more information and examples to use with the Confluent Cloud API for Connect, see the Confluent Cloud API for Connect Usage Examples section.

Limitations

Be sure to review the following information.

For connector limitations, see Salesforce Platform Event Sink Connector limitations.
If you plan to use one or more Single Message Transforms (SMTs), see SMT Limitations.
If you plan to use Confluent Cloud Schema Registry, see Schema Registry Enabled Environments.

Data Fields

The UI configuration property Salesforce platform event name (CLI property salesforce.platform.event.name) designates the name of the event. Event names must end with __e. For example, MyPlatformEvent__e.

The connector only publishes data fields that are part of the Platform Event Definition (that is, data fields ending with __c). All other fields are ignored. If there are no fields in the message that have the required __c suffix, the entire message is not sent to Salesforce.

Note

The Platform Event Definition must exist in Salesforce before the connector can publish events to Salesforce. See the Salesforce Developer Guide for more information.

Quick Start

Use this quick start to get up and running with the Confluent Cloud Salesforce Platform Event Sink connector. The quick start provides the basics of selecting the connector and configuring it to stream events

Prerequisites

Authorized access to a Confluent Cloud cluster on Amazon Web Services (AWS), Microsoft Azure (Azure), or Google Cloud.
An authorized Salesforce user and credentials for the connector.
An authorized Salesforce consumer key and secret for the connector.
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.

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.

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 Salesforce Platform Event Sink connector card.

Step 4: Set up the connection.

Note

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

At the Add Salesforce Platform Event Sink connector screen, complete the following:

Select a topic

Select the topic you want to send data to from the Topics list. To create a new topic, click +Add new topic.

Kafka credentials

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. 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.

Click Continue.

Important

If using a service account, you must add ACL entries. For standard service account ACL entries, see Sink connector service account. For the additional ACLs required for this connector, see Sink connector SUCCESS and ERROR topics.

Authentication

Add the Salesforce connection and authentication details:
- Salesforce grant type: Sets the authentication grant type to PASSWORD , JWT_BEARER (Salesforce JSON Web Token (JWT)) or CLIENT_CREDENTIALS. Defaults to PASSWORD.
- Salesforce instance: The URL of the Salesforce endpoint to use. The default is https://login.salesforce.com. This directs the connector to use the endpoint specified in the authentication response.
  Note
  
  The following properties are used based on the Salesforce grant type you choose.
  - JWT_BEARER: Requires username, consumer key, JWT keystore file, and JWT keystore password.
  - PASSWORD: Requires username, password, password token, consumer key, and consumer secret.
  - CLIENT_CREDENTIALS: Requires consumer key, consumer secret (client ID and client secret of a Salesforce connected application) and Salesforce domain URL in Salesforce instance option. The default value https://login.salesforce.com does not work for this option. To use CLIENT_CREDENTIALS, you must enable the Client Credentials flow in your connected Salesforce application and assign an integration user.
- Salesforce username: The Salesforce username for the connector to use.
- Salesforce password: The Salesforce password for the connector to use.
- Salesforce password token: The Salesforce security token associated with the username.
- Salesforce consumer key: The consumer key for the OAuth application.
- Salesforce consumer secret: The consumer secret for the OAuth application.
- Salesforce JWT keystore file: If using the grant type JWT_BEARER, upload the JWT keystore file.
- Salesforce JWT keystore password: Enter the password used to access the JWT keystore file.
Click Continue.

Configuration

Select the Input Kafka record value format (data coming from the Kafka topic): AVRO, JSON_SR (JSON Schema), or PROTOBUF. A valid schema must be available in Schema Registry to use a schema-based message format (for example, Avro, JSON_SR (JSON Schema), or Protobuf). See Schema Registry Enabled Environments for additional information.
Select the number of platform events to write to.
Enter the Salesforce platform event name. This name is case sensitive.
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?.
- Connection timeout. The amount of time to wait in milliseconds (ms) when connecting to the Salesforce endpoint. The default is 30000 ms (30 seconds).
- Behavior on API errors: How the connector behaves when an Salesforce API error occurs. Valid options are fail and ignore (the default). If set to fail, the connector stops.
Auto-restart policy
- Enable Connector Auto-restart: Control 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. In such cases, you would need to manually restart the connector.
Consumer configuration
- Max poll interval(ms): Set the maximum delay between subsequent consume requests to Kafka. Use this property to improve connector performance in cases when the connector cannot send records to the sink system. The default is 300,000 milliseconds (5 minutes).
- Max poll records: Set the maximum number of records to consume from Kafka in a single request. Use this property to improve connector performance in cases when the connector cannot send records to the sink system. The default is 500 records.
- Max Retry Time in Milliseconds: In case of error when making a request to Salesforce, the connector will retry until this time (in milliseconds) elapses.
Transforms
- Single Message Transforms: To add a new SMT, see Add transforms. For more information about unsupported SMTs, see Unsupported transformations.
Click Continue.

Sizing

Based on the number of topic partitions you select, you will be provided with a recommended number of tasks. More tasks may improve performance.

Click Continue.

Review and Launch

Verify the connection details by previewing the running configuration.

Tip

For information about previewing your connector output, see Data Previews for Confluent Cloud Connectors.
Once you’ve validated that the properties are configured to your satisfaction, click Continue.

The status for the connector should go from Provisioning to Running.

See Configuration Properties for all property values and descriptions.

Step 5: Check the connector status

The status for the connector should go from Provisioning to Running.

Step 6: Check for records.

Verify that records are being produced at the endpoint.

For more information and examples to use with the Confluent Cloud API for Connect, see the Confluent Cloud API for Connect Usage Examples section.

Tip

When you launch a connector, a Dead Letter Queue topic is automatically created. See View Connector Dead Letter Queue Errors in Confluent Cloud 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.

{
  "connector.class": "SalesforcePlatformEventSink",
  "input.data.format": "AVRO",
  "name": "SalesforcePlatformEventSinkConnector_0",
  "kafka.auth.mode": "KAFKA_API_KEY",
  "kafka.api.key": "<my-kafka-api-key>",
  "kafka.api.secret": "<my-kafka-api-secret>",
  "salesforce.grant.type": "PASSWORD",
  "salesforce.username": "<username>",
  "salesforce.password": "<password>",
  "salesforce.password.token": "<password-token>",
  "salesforce.consumer.key": "<consumer-key>",
  "salesforce.consumer.secret": "<consumer-secret>",
  "salesforce.platform.event.num": "1",
  "salesforce.platform.event1.name": "<event-name>__e",
  "tasks.max": "1",
  "topics": "orders",
}

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, and PROTOBUF. 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
```

Important

If using a service account, you must add ACL entries. For standard service account ACL entries, see Sink connector service account. For the additional ACLs required for this connector, see Sink connector SUCCESS and ERROR topics.

"salesforce.grant.type": Sets the authentication grant type to PASSWORD (username+password) , JWT_BEARER (Salesforce JSON Web Token (JWT)) or CLIENT_CREDENTIALS. Defaults to PASSWORD.
Note

The following properties are used based on the Salesforce grant type you choose.
- JWT_BEARER: Requires username, consumer key, JWT keystore file, and JWT keystore password.
- PASSWORD: Requires username, password, password token, consumer key, and consumer secret.
- CLIENT_CREDENTIALS: Requires consumer key, consumer secret (client ID and client secret of a Salesforce connected application) and Salesforce domain URL in Salesforce instance option. The default value https://login.salesforce.com does not work for this option. To use CLIENT_CREDENTIALS, you must enable the Client Credentials flow in your connected Salesforce application and assign an integration user.
"salesforce.username": The Salesforce username for the connector to use.
"salesforce.password": The Salesforce username password.
"salesforce.password.token": The Salesforce security token associated with the username.
"salesforce.consumer.key": The consumer key for the OAuth application.
"salesforce.consumer.secret": The consumer secret for the OAuth application.
"salesforce.jwt.keystore.file": Salesforce JWT keystore file. The JWT keystore file is a binary file and you supply the contents of the file in the property encoded in Base64. To use the salesforce.jwt.keystore.file property, encode the keystore contents in Base64, take the encoded string, add the data:text/plain:base64 prefix, and then use the entire string as the property entry. For example:
```
"salesforce.jwt.keystore.file" : "data:text/plain;base64,/u3+7QAAAAIAAAACAAAAGY2xpZ...==",
"salesforce.jwt.keystore.password" : "<password>",
```
"salesforce.jwt.keystore.password": Enter the password used to access the JWT keystore file.
"salesforce.platform.event.num": The number of platform events to be supported. (Must be between 1 to 5)
"salesforce.platform.event1.name": The event name. This name is case sensitive.
"tasks.max": The connector supports running one or more tasks. More tasks may improve performance (that is, consumer lag is reduced with multiple tasks running).
"topics": Enter the topic name or a comma-separated list of topic names.

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 salesforce-platform-event-sink-config.json

Example output:

Created connector SalesforcePlatformEventSinkConnector_0 lcc-do6vzd

Step 5: 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   | SalesforcePlatformEventSinkConnector_0 | RUNNING | sink |       |

Step 6: 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 Connect Usage Examples section.

Tip

When you launch a connector, a Dead Letter Queue topic is automatically created. See View Connector Dead Letter Queue Errors in Confluent Cloud 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.

Which topics do you want to get data from?

topics.regex

A regular expression that matches the names of the topics to consume from. This is useful when you want to consume from multiple topics that match a certain pattern without having to list them all individually.

Type: string
Importance: low

topics

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

Type: list
Importance: high

errors.deadletterqueue.topic.name

The name of the topic to be used as the dead letter queue (DLQ) for messages that result in an error when processed by this sink connector, or its transformations or converters. Defaults to ‘dlq-${connector}’ if not set. The DLQ topic will be created automatically if it does not exist. You can provide ${connector} in the value to use it as a placeholder for the logical cluster ID.

Type: string
Default: dlq-${connector}
Importance: low

reporter.result.topic.name

The name of the topic to produce records to after successfully processing a sink record. Defaults to ‘success-${connector}’ if not set. You can provide ${connector} in the value to use it as a placeholder for the logical cluster ID.

Type: string
Default: success-${connector}
Importance: low

reporter.error.topic.name

The name of the topic to produce records to after each unsuccessful record sink attempt. Defaults to ‘error-${connector}’ if not set. You can provide ${connector} in the value to use it as a placeholder for the logical cluster ID.

Type: string
Default: error-${connector}
Importance: low

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 and PROTOBUF. Note that you need to have Confluent Cloud Schema Registry configured

Type: string
Importance: high

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

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

How should we connect to Salesforce?

salesforce.grant.type

Salesforce grant type. Valid options are ‘PASSWORD’, ‘CLIENT_CREDENTIALS’ and ‘JWT_BEARER’.

Type: string
Default: PASSWORD
Importance: high

salesforce.instance

The URL of the Salesforce endpoint to use. When using ‘CLIENT_CREDENTIALS’ grant type, provide your Salesforce domain URL. The default is https://login.salesforce.com, which directs the connector to use the endpoint specified in the authentication response.

Type: string
Default: https://login.salesforce.com
Importance: high

salesforce.username

The Salesforce username the connector should use.

Type: string
Importance: high

salesforce.password

The Salesforce password the connector should use.

Type: password
Importance: high

salesforce.password.token

The Salesforce security token associated with the username.

Type: password
Importance: high

salesforce.consumer.key

The client id(consumer key) for the Salesforce Connected app.

Type: password
Importance: high

salesforce.consumer.secret

The client secret(consumer secret) for the Salesforce Connected app.

Type: password
Importance: medium

salesforce.jwt.keystore.file

Salesforce JWT keystore file which contains the private key.

Type: password
Default: [hidden]
Importance: medium

salesforce.jwt.keystore.password

Password used to access JWT keystore file.

Type: password
Importance: medium

salesforce.platform.event.num

The number of Salesforce platform events to write to. Must be between 1 and 5.

Type: int
Default: 1
Valid Values: [1,…,5]
Importance: high

Platform Event 1 configuration

salesforce.platform.event1.name

The name of the Salesforce platform event 1 to publish to. The Event name should end with __e suffix. For example: LoginEvent__e.

Type: string
Importance: high

salesforce.platform.event1.topics

List of topics to be used for platform event 1.

Type: list
Default: “”
Importance: high

Platform Event 2 configuration

salesforce.platform.event2.name

The name of the Salesforce platform event 2 to publish to. The Event name should end with __e suffix. For example: LoginEvent__e.

Type: string
Importance: high

salesforce.platform.event2.topics

List of topics to be used for platform event 2.

Type: list
Default: “”
Importance: high

Platform Event 3 configuration

salesforce.platform.event3.name

The name of the Salesforce platform event 3 to publish to. The Event name should end with __e suffix. For example: LoginEvent__e.

Type: string
Importance: high

salesforce.platform.event3.topics

List of topics to be used for platform event 3.

Type: list
Default: “”
Importance: high

Platform Event 4 configuration

salesforce.platform.event4.name

The name of the Salesforce platform event 4 to publish to. The Event name should end with __e suffix. For example: LoginEvent__e.

Type: string
Importance: high

salesforce.platform.event4.topics

List of topics to be used for platform event 4.

Type: list
Default: “”
Importance: high

Platform Event 5 configuration

salesforce.platform.event5.name

The name of the Salesforce platform event 5 to publish to. The Event name should end with __e suffix. For example: LoginEvent__e.

Type: string
Importance: high

salesforce.platform.event5.topics

List of topics to be used for platform event 5.

Type: list
Default: “”
Importance: high

Connection details

connection.timeout

The amount of time to wait in milliseconds while connecting to the Salesforce streaming endpoint.

Type: long
Default: 30000
Importance: low

request.max.retries.time.ms

In case of error when making a request to Salesforce, the connector will retry until this time (in ms) elapses. The default value is 30000 (30 seconds). Minimum value is 1 sec

Type: long
Default: 30000 (30 seconds)
Valid Values: [1000,…,250000]
Importance: low

behavior.on.api.errors

Error handling behavior config for any Salesforce API errors.

Type: string
Default: ignore
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] for non-dedicated clusters and [60000,…] for dedicated clusters
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] for non-dedicated clusters and [1,…] for dedicated clusters
Importance: low

Number of tasks for this connector

tasks.max

Maximum number of tasks for the connector.

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

Additional Configs

consumer.override.auto.offset.reset

Defines the behavior of the consumer when there is no committed position (which occurs when the group is first initialized) or when an offset is out of range. You can choose either to reset the position to the “earliest” offset (the default) or the “latest” offset. You can also select “none” if you would rather set the initial offset yourself and you are willing to handle out of range errors manually. More details: https://docs.confluent.io/platform/current/installation/configuration/consumer-configs.html#auto-offset-reset

Type: string
Importance: low

consumer.override.isolation.level

Controls how to read messages written transactionally. If set to read_committed, consumer.poll() will only return transactional messages which have been committed. If set to read_uncommitted (the default), consumer.poll() will return all messages, even transactional messages which have been aborted. Non-transactional messages will be returned unconditionally in either mode. More details: https://docs.confluent.io/platform/current/installation/configuration/consumer-configs.html#isolation-level

Type: string
Importance: low

header.converter

The converter class for the headers. This is used to serialize and deserialize the headers of the messages.

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.

Type: boolean
Importance: low

value.converter.auto.register.schemas

Specify if the Serializer should attempt to register the Schema.

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.

Type: boolean
Importance: low

value.converter.enhanced.avro.schema.support

Enable enhanced schema support to preserve package information and Enums. Applicable for Avro Converters.

Type: boolean
Importance: low

value.converter.enhanced.protobuf.schema.support

Enable enhanced schema support to preserve package information. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.flatten.unions

Whether to flatten unions (oneofs). Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.generate.index.for.unions

Whether to generate an index suffix for unions. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.generate.struct.for.nulls

Whether to generate a struct variable for null values. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.int.for.enums

Whether to represent enums as integers. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.latest.compatibility.strict

Verify latest subject version is backward compatible when use.latest.version is true.

Type: boolean
Importance: low

value.converter.object.additional.properties

Whether to allow additional properties for object schemas. Applicable for JSON_SR Converters.

Type: boolean
Importance: low

value.converter.optional.for.nullables

Whether nullable fields should be specified with an optional label. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.optional.for.proto2

Whether proto2 optionals are supported. Applicable for Protobuf Converters.

Type: boolean
Importance: low

value.converter.scrub.invalid.names

Whether to scrub invalid names by replacing invalid characters with valid characters. Applicable for Avro and Protobuf Converters.

Type: boolean
Importance: low

value.converter.use.latest.version

Use latest version of schema in subject for serialization when auto.register.schemas is false.

Type: boolean
Importance: low

value.converter.use.optional.for.nonrequired

Whether to set non-required properties to be optional. Applicable for JSON_SR Converters.

Type: boolean
Importance: low

value.converter.wrapper.for.nullables

Whether nullable fields should use primitive wrapper messages. Applicable for Protobuf Converters.

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.

Type: boolean
Importance: low

errors.tolerance

Use this property if you would like to configure the connector’s error handling behavior. WARNING: This property should be used with CAUTION for SOURCE CONNECTORS as it may lead to dataloss. If you set this property to ‘all’, the connector will not fail on errant records, but will instead log them (and send to DLQ for Sink Connectors) and continue processing. If you set this property to ‘none’, the connector task will fail on errant records.

Type: string
Default: all
Importance: low

key.converter.key.subject.name.strategy

How to construct the subject name for key schema registration.

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:

BASE64 to serialize DECIMAL logical types as base64 encoded binary data and

NUMERIC to serialize Connect DECIMAL logical type values in JSON/JSON_SR as a number representing the decimal value.

Type: string
Default: BASE64
Importance: low

value.converter.flatten.singleton.unions

Whether to flatten singleton unions. Applicable for Avro and JSON_SR Converters.

Type: boolean
Default: false
Importance: low

value.converter.ignore.default.for.nullables

When set to true, this property ensures that the corresponding record in Kafka is NULL, instead of showing the default column value. Applicable for AVRO,PROTOBUF and JSON_SR Converters.

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.

Type: string
Default: DefaultReferenceSubjectNameStrategy
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.

Type: string
Default: TopicNameStrategy
Importance: low

Auto-restart policy

auto.restart.on.user.error

Enable connector to automatically restart on user-actionable errors.

Type: boolean
Default: true
Importance: medium

Egress allowlist

connector.egress.whitelist

Type: string
Default: “”
Importance: high

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. This example also shows how to use Confluent CLI to manage your resources in Confluent Cloud.