Important
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Azure Search Sink Connector Configuration Properties¶
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.
Connection¶
azure.search.service.name
The name of the Azure Search service.
- Type: string
- Importance: high
azure.search.api.key
The api key for the Azure 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 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 likeUPLOAD
.Note: See Azure 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 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¶
Note
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, please 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.
Note
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.
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
Overriding 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
confluent.topic.producer.
prefix and consumer-specific properties by using
the confluent.topic.consumer.
prefix.
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.