Configuration Reference for Azure Cognitive Search 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.azure.search.AzureSearchSinkConnector

Connector-specific configuration properties are described below.

Note

These are properties for the self-managed connector. If you are using Confluent Cloud, see Azure Cognitive Search Sink Connector for Confluent Cloud.

Connection¶

azure.search.service.name

The name of the Azure Cognitive Search service.

Type: string
Importance: high

azure.search.api.key

The api key for the Azure Cognitive Search service.

Type: password
Importance: high

Writes¶

index.name

The name of the index to write records as documents to. Use ${topic} within the pattern to specify the topic of the record.

Type: string
Default: ${topic}
Valid Values: optionally includes substitutions(s): ${topic} and after replacing ${topic}, this must be a valid Azure Cognitive Search index name
Importance: high

write.method

The method used to write Kafka records to an index. The available methods are:

UPLOAD - Functions like upsert. A document is inserted if it does not existed and updated/replaced if it does.

MERGEORUPLOAD - Updates an existing document with the specified fields. If the document doesn’t exist, behaves like UPLOAD.

Note: See Azure Cognitive Search documentation for further details.

Type: string
Default: UPLOAD
Valid Values: one of [MERGEORUPLOAD, UPLOAD]
Importance: high

key.mode

Determines what will be used for the document key id. The available modes are:

KEY - the Kafka record key is used as the document key.

COORDINATES - the Kafka coordinates (topic, partition, and offset) are concatenated to form the document key. This allows for unique document keys.

Type: string
Default: KEY
Valid Values: one of [COORDINATES, KEY]
Importance: medium

delete.enabled

Whether documents will be deleted if the record value is null.

Type: boolean
Default: false
Importance: medium

max.batch.size

The maximum number of records that will be sent per request. Azure Cognitive Search only allows up to 1000 documents to be uploaded at a time.

Type: int
Default: 1
Valid Values: [1,…,1000]
Importance: low

behavior.on.error

How the connector should behave when a non-retryable error has been encountered. The available modes are:

IGNORE - the errors are silently ignored.

LOG - the errors are logged, but the connector continues working.

FAIL - the connector fails.

Type: string
Default: FAIL
Valid Values: one of [LOG, IGNORE, FAIL]
Importance: low

max.retry.ms

The maximum amount of time in ms that the connector will attempt its request before aborting it.

Type: long
Default: 300000
Valid Values: [0,…]
Importance: low

Proxy¶

proxy.host

The address of the proxy host to connect through.

Type: string
Default: “”
Importance: low

proxy.port

The port of the proxy host to connect through.

Type: int
Default: 8080
Valid Values: [1,…,65535]
Importance: low

proxy.username

The username for the proxy host.

Type: string
Default: “”
Importance: low

proxy.password

The password for the proxy host.

Type: password
Default: null
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 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.

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.