<a id="azure-functions-sink-connector-config"></a>

# Configuration Reference for Azure Functions Sink Connector for Confluent Platform

To use this connector, specify the name of the connector class in the `connector.class` configuration property.

```properties
connector.class=io.confluent.connect.http.AzureFunctionsSinkConnector
```

Connector-specific configuration properties are described below.

#### NOTE
These are properties for the self-managed connector. If you are using
Confluent Cloud, see [Azure Functions Sink connector for Confluent
Cloud](/cloud/current/connectors/cc-azure-functions-sink.html).

## Connector

`behavior.on.error`
: How to handle error response codes returned from Azure Functions. Error response codes are anything above `HTTP 400`, inclusive.
  <br/>
  * Type: string
  * Default: fail
  * Valid Values: [ignore, log, fail]
  * Importance: medium

`function.url`
: Azure Functions URL.
  <br/>
  * Type: string
  * Importance: high

`function.key`
: Azure Functions Key.
  <br/>
  * Type: password
  * Importance: high

`max.batch.size`
: The maximum number of records batched and sent per a single request. If you are seeing duplicates hitting Azure Function, it could be because
  connector consumer is taking long time to process the records polled from kafka topic. Try increasing batch size to enable the connector to
  process the polled records quickly. Note: Azure Functions can only receive 100MB per request and large batch size may fail as a result.
  <br/>
  * Type: int
  * Default: 1
  * Valid Values: [1, …]
  * Importance: medium

`max.pending.requests`
: The maximum number of pending requests that can be made to Azure Functions concurrently. If you are seeing duplicates hitting Azure Function, it could be because
  connector consumer is taking long time to process the records polled from kafka topic. Try increasing max pending requests to enable more concurrent requests to
  Azure Function, in order to enable connector to process the polled records quickly. Try with increased max batch size before tuning this parameter.
  <br/>
  * Type: int
  * Default: 1
  * Valid Values: [1, …]
  * Importance: medium

`request.timeout.ms`
: The maximum time in ms that the connector will attempt to request Azure Functions before timing out (socket timeout).
  <br/>
  * Type: int
  * Default: 5 minutes
  * Valid Values: [0, …]
  * Importance: low

`retry.timeout.ms`
: The total amount of time in ms that the connector will exponentially backoff and retry failed requests i.e on throttling. Response codes that are retried are `HTTP 429 Too Busy` and `HTTP 502 Bad Gateway`. A value of -1 indicates indefinite retrying.
  <br/>
  * Type: int
  * Default: 10 minutes
  * Valid Values: [-1, …]
  * Importance: low

## Connect Reporter

For more information about Reporter, see [Connect Reporter](https://docs.confluent.io/kafka-connectors/self-managed/userguide.html#userguide-connect-reporter).

`reporter.result.topic.name`
: The name of the topic to produce records to after successfully processing a sink record. Use `${connector}` within the pattern to specify the current connector name. Leave blank to disable error reporting behavior.
  <br/>
  * Type: string
  * Default: ${connector}-success
  * Valid Values: Replacing ${connector} must be either Valid topic names that contain 1-249 ASCII alphanumeric, `+`, `.`, `_` and `-` characters.
  * Importance: medium

`reporter.result.topic.replication.factor`
: The replication factor of the result topic when it is automatically created by this connector. This determines how many broker failures can be tolerated before data loss occurs. This should be 1 in development environments and ALWAYS at least 3 in production environments.
  <br/>
  * Type: short
  * Default: 3
  * Valid Values: [1,…]
  * Importance: medium

`reporter.result.topic.partitions`
: The number of partitions in the result topic when it is automatically created by this connector. This number of partitions should be the same as the number of input partitions to handle the potential throughput.
  <br/>
  * Type: int
  * Default: 1
  * Valid Values: [1,…]
  * Importance: medium

`reporter.error.topic.name`
: The name of the topic to produce records to after each unsuccessful record sink attempt. Use `${connector}` within the pattern to specify the current connector name. Leave blank to disable error reporting behavior.
  <br/>
  * Type: string
  * Default: ${connector}-error
  * Valid Values: Replacing ${connector} must be either Valid topic names that contain 1-249 ASCII alphanumeric, `+`, `.`, `_` and `-` characters.
  * Importance: medium

`reporter.error.topic.replication.factor`
: The replication factor of the error topic when it is automatically created by this connector. This determines how many broker failures can be tolerated before data loss occurs. This should be 1 in development environments and ALWAYS at least 3 in production environments.
  <br/>
  * Type: short
  * Default: 3
  * Valid Values: [1,…]
  * Importance: medium

`reporter.error.topic.partitions`
: The number of partitions in the error topic when it is automatically created by this connector. This number of partitions should be the same as the number of input partitions in order to handle the potential throughput.
  <br/>
  * Type: int
  * Default: 1
  * Valid Values: [1,…]
  * Importance: medium

`reporter.bootstrap.servers`
: A list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers regardless of which bootstrap servers are specified here. This list only impacts the initial hosts used to discover the full set of servers. This list should be in the form `host1:port1,host2:port2,..` Since these servers are just used for the initial connection to discover the full cluster membership (which may change dynamically), this list does not need to contain the full set of servers. However, you may want to include more than one in case a server is down.
  <br/>
  * Type: list
  * Valid Values: Non-empty list
  * Importance: high

### Formatter

`reporter.result.topic.key.format`
: The format in which the result report key is serialized.
  <br/>
  * Type: string
  * Default: json
  * Valid Values: one of [string, json]
  * Importance: medium
  * Dependents: `reporter.result.topic.key.format.schemas.enable`, `reporter.result.topic.key.format.schemas.cache.size`

`reporter.result.topic.value.format`
: The format in which the result report value is serialized.
  <br/>
  * Type: string
  * Default: json
  * Valid Values: one of [string, json]
  * Importance: medium
  * Dependents: `reporter.result.topic.value.format.schemas.cache.size`, `reporter.result.topic.value.format.schemas.enable`

`reporter.error.topic.key.format`
: The format in which the error report key is serialized.
  <br/>
  * Type: string
  * Default: json
  * Valid Values: one of [string, json]
  * Importance: medium
  * Dependents: `reporter.error.topic.key.format.schemas.cache.size`, `reporter.error.topic.key.format.schemas.enable`

`reporter.error.topic.value.format`
: The format in which the error report value is serialized.
  <br/>
  * Type: string
  * Default: json
  * Valid Values: one of [string, json]
  * Importance: medium
  * Dependents: `reporter.error.topic.value.format.schemas.cache.size`, `reporter.error.topic.value.format.schemas.enable`

### JSON Formatter

`reporter.result.topic.key.format.schemas.cache.size`
: The maximum number of schemas that can be cached in the JSON formatter.
  <br/>
  * Type: int
  * Default: 128
  * Valid Values: [0,…,2048]
  * Importance: medium

`reporter.result.topic.key.format.schemas.enable`
: Include schemas within each of the serialized values and keys.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`reporter.result.topic.value.format.schemas.cache.size`
: The maximum number of schemas that can be cached in the JSON formatter.
  <br/>
  * Type: int
  * Default: 128
  * Valid Values: [0,…,2048]
  * Importance: medium

`reporter.result.topic.value.format.schemas.enable`
: Include schemas within each of the serialized values and keys.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`reporter.error.topic.key.format.schemas.cache.size`
: The maximum number of schemas that can be cached in the JSON formatter.
  <br/>
  * Type: int
  * Default: 128
  * Valid Values: [0,…,2048]
  * Importance: medium

`reporter.error.topic.key.format.schemas.enable`
: Include schemas within each of the serialized values and keys.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`reporter.error.topic.value.format.schemas.cache.size`
: The maximum number of schemas that can be cached in the JSON formatter.
  <br/>
  * Type: int
  * Default: 128
  * Valid Values: [0,…,2048]
  * Importance: medium

`reporter.error.topic.value.format.schemas.enable`
: Include schemas within each of the serialized values and keys.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

<!-- WARNING: THIS IS A SHARED FILE AND THE SOURCE IS LOCATED IN DOCS-COMMON. DO NOT ADD TO ANY OTHER REPO. -->

## CSFLE and CSPE configurations

`csfle.enabled`

Accepts a boolean value. CSFLE is enabled for the connector if `csfle.enabled` is set to True.

* Type: boolean
* Default: False

`auto.register.schemas`

Specifies if the Serializer should attempt to register the Schema with Schema Registry.

* Type: boolean
* Default: true
* Importance: medium

`use.latest.version`

Only applies when `auto.register.schemas` is set to false. If `auto.register.schemas` is set to false and `use.latest.version` is set to true, then instead of deriving a schema for the object passed to the client for serialization, Schema Registry uses the latest version of the schema in the subject for serialization.

* Type: boolean
* Default: true
* Importance: medium

<a id="azure-functions-sink-connector-license-config"></a>

## Confluent Platform license

`confluent.topic.bootstrap.servers`
A list of host/port pairs to use for establishing the initial connection to the Kafka cluster used for licensing. All servers in the cluster will be discovered from the initial connection. This list should be in the form <code>host1:port1,host2:port2,…</code>. Since these servers are just used for the initial connection to discover the full cluster membership (which may change dynamically), this list need not contain the full set of servers (you may want more than one, though, in case a server is down).

* Type: list
* Importance: high

`confluent.topic`
Name of the Kafka topic used for Confluent Platform configuration, including licensing information.

* Type: string
* Default: \_confluent-command
* Importance: low

`confluent.topic.replication.factor`
The replication factor for the Kafka topic used for Confluent Platform configuration, including licensing information. This is used only if the topic does not already exist, and the default of 3 is appropriate for production use. If you are using a development environment with less than 3 brokers, you must set this to the number of brokers (often 1).

* Type: int
* Default: 3
* Importance: low

### Confluent license properties

You can put license-related properties in the connector configuration, or in license-related properties in the
[Connect worker configuration](https://docs.confluent.io/kafka-connectors/self-managed/license.html#centralized-license-in-the-kconnect-long-worker) instead of in each connector configuration.

This connector is proprietary and requires a license. The license information is stored in the `_confluent-command`
topic. If the broker requires SSL for connections, you must include the security-related `confluent.topic.*` properties
as described below.

`confluent.license`
: Confluent issues enterprise license keys to each subscriber. The license key is text that you can copy and
  paste as the value for `confluent.license`. A trial license allows using the connector for a 30-day trial period. A developer license allows using the connector indefinitely for single-broker development environments.
  <br/>
  If you are a subscriber, contact Confluent Support for more information.
  <br/>
  * Type: string
  * Default: “”
  * Valid Values: Confluent Platform license
  * Importance: high

`confluent.topic.ssl.truststore.location`
: The location of the trust store file.
  <br/>
  * Type: string
  * Default: null
  * Importance: high

`confluent.topic.ssl.truststore.password`
: The password for the trust store file. If a password is not set access to the truststore is still available, but
  integrity checking is disabled.
  <br/>
  * Type: password
  * Default: null
  * Importance: high

`confluent.topic.ssl.keystore.location`
: The location of the key store file. This is optional for client and can be used for two-way authentication for client.
  <br/>
  * Type: string
  * Default: null
  * Importance: high

`confluent.topic.ssl.keystore.password`
: The store password for the key store file. This is optional for client and only needed if ssl.keystore.location is configured.
  <br/>
  * Type: password
  * Default: null
  * Importance: high

`confluent.topic.ssl.key.password`
: The password of the private key in the key store file. This is optional for client.
  <br/>
  * Type: password
  * Default: null
  * Importance: high

`confluent.topic.security.protocol`
: Protocol used to communicate with brokers. Valid values are: PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL.
  <br/>
  * Type: string
  * Default: “PLAINTEXT”
  * Importance: medium

<a id="azure-functions-sink-license-topic-configuration"></a>

### License topic configuration

A Confluent enterprise license is stored in the `_confluent-command` topic.
This topic is created by default and contains the license that corresponds to
the license key supplied through the `confluent.license` property. No public
keys are stored in Kafka topics.

The following describes how the default `_confluent-command` topic is
generated under different scenarios:

* A 30-day trial license is automatically generated for the `_confluent-command` topic if you do not add the `confluent.license` property or leave this property empty (for example, `confluent.license=`).
* Adding a valid license key (for example, `confluent.license=<valid-license-key>`) adds a valid license in the `_confluent-command` topic.

Here is an example of the minimal properties for development and testing.

You can change the name of the `_confluent-command` topic using the
`confluent.topic` property (for instance, if your environment has strict
naming conventions). The example below shows this change and the configured
Kafka bootstrap server.

```none
confluent.topic=foo_confluent-command
confluent.topic.bootstrap.servers=localhost:9092
```

The example above shows the minimally required bootstrap server property that
you can use for development and testing. For a production environment, you add
the normal producer, consumer, and topic configuration properties to the
connector properties, prefixed with `confluent.topic.`.

### License topic ACLs

The `_confluent-command` topic contains the license that corresponds to the
license key supplied through the `confluent.license` property. It is created
by default. Connectors that access this topic require the following ACLs
configured:

* CREATE and DESCRIBE on the resource cluster, if the connector needs to create the topic.
* DESCRIBE, READ, and WRITE on the `_confluent-command` topic.

  #### IMPORTANT
  You can also use DESCRIBE and READ without WRITE to restrict access to
  read-only for license topic ACLs. If a topic exists, the LicenseManager
  will not try to create the topic.

You can provide access either individually for each principal that will
use the license or use a [wildcard entry](/platform/current/kafka/authorization.html#acl-wildcard-principals) to
allow all clients. The following examples show commands that you can use to
configure ACLs for the resource cluster and `_confluent-command` topic.

1. Set a CREATE and DESCRIBE ACL on the resource cluster:
   ```none
   kafka-acls --bootstrap-server localhost:9092 --command-config adminclient-configs.conf \
   --add --allow-principal User:<principal> \
   --operation CREATE --operation DESCRIBE --cluster
   ```
2. Set a DESCRIBE, READ, and WRITE ACL on the `_confluent-command` topic:
   ```none
   kafka-acls --bootstrap-server localhost:9092 --command-config adminclient-configs.conf \
   --add --allow-principal User:<principal> \
   --operation DESCRIBE --operation READ --operation WRITE --topic _confluent-command
   ```

### Override Default Configuration Properties

You can override the replication factor using
`confluent.topic.replication.factor`. For example, when using a Kafka cluster
as a destination with less than three brokers (for development and testing) you
should set the `confluent.topic.replication.factor` property to `1`.

You can override producer-specific properties by using the
`producer.override.*` prefix (for source connectors) and consumer-specific
properties by using the `consumer.override.*` prefix (for sink connectors).

You can use the defaults or customize the other properties as well. For example,
the `confluent.topic.client.id` property defaults to the name of the connector
with `-licensing` suffix. You can specify the configuration settings for
brokers that require SSL or SASL for client connections using this prefix.

You cannot override the cleanup policy of a topic because the topic always has a
single partition and is compacted. Also, do not specify serializers and
deserializers using this prefix; they are ignored if added.
