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.
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.
Connector¶
behavior.on.error
How to handle error response codes returned from Azure Functions. Error response codes are anything above
HTTP 400
, inclusive.- Type: string
- Default: fail
- Valid Values: [ignore, log, fail]
- Importance: medium
function.url
Azure Functions URL.
- Type: string
- Importance: high
function.key
Azure Functions Key.
- 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.
- 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.
- 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).
- 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
andHTTP 502 Bad Gateway
. A value of -1 indicates indefinite retrying.- Type: int
- Default: 10 minutes
- Valid Values: [-1, …]
- Importance: low
Connect Reporter¶
For more information about Reporter, see 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.- 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.
- 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.
- 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.- 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.
- 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.
- 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.- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Type: boolean
- Default: false
- Importance: medium
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 starting with Confluent Platform version 6.0, you can put license-related properties in the Connect worker configuration 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.If you are a subscriber, contact Confluent Support for more information.
- Type: string
- Default: “”
- Valid Values: Confluent Platform license
- Importance: high
confluent.topic.ssl.truststore.location
The location of the trust store file.
- 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.
- 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.
- 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.
- 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.
- 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.
- Type: string
- Default: “PLAINTEXT”
- Importance: medium
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 theconfluent.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.
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 to
allow all clients. The following examples show commands that you can use to
configure ACLs for the resource cluster and _confluent-command
topic.
Set a CREATE and DESCRIBE ACL on the resource cluster:
kafka-acls --bootstrap-server localhost:9092 --command-config adminclient-configs.conf \ --add --allow-principal User:<principal> \ --operation CREATE --operation DESCRIBE --cluster
Set a DESCRIBE, READ, and WRITE ACL on the
_confluent-command
topic: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.