Important

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Configuration Properties

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

connector.class=io.confluent.connect.rabbitmq.RabbitMQSourceConnector

Connector-specific configuration properties are described below.

Confluent Platform

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

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 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..

Connection

rabbitmq.host

The RabbitMQ host to connect to. See ConnectionFactory.setHost(java.lang.String)

  • Type: string
  • Default: localhost
  • Importance: high
rabbitmq.password

The password to authenticate to RabbitMQ with. See ConnectionFactory.setPassword(java.lang.String)

  • Type: string
  • Default: guest
  • Importance: high
rabbitmq.username

The username to authenticate to RabbitMQ with. See ConnectionFactory.setUsername(java.lang.String)

  • Type: string
  • Default: guest
  • Importance: high
rabbitmq.virtual.host

The virtual host to use when connecting to the broker. See ConnectionFactory.setVirtualHost(java.lang.String)

  • Type: string
  • Default: /
  • Importance: high
rabbitmq.port

The RabbitMQ port to connect to. See ConnectionFactory.setPort(int)

  • Type: int
  • Default: 5672
  • Importance: medium
rabbitmq.automatic.recovery.enabled

Enables or disables automatic connection recovery. See ConnectionFactory.setAutomaticRecoveryEnabled(boolean)

  • Type: boolean
  • Default: true
  • Importance: low
rabbitmq.connection.timeout.ms

Connection TCP establishment timeout in milliseconds. zero for infinite. See ConnectionFactory.setConnectionTimeout(int)

  • Type: int
  • Default: 60000
  • Valid Values: [0,…]
  • Importance: low
rabbitmq.handshake.timeout.ms

The AMQP0-9-1 protocol handshake timeout, in milliseconds. See ConnectionFactory.setHandshakeTimeout(int)

  • Type: int
  • Default: 10000
  • Importance: low
rabbitmq.network.recovery.interval.ms

See ConnectionFactory.setNetworkRecoveryInterval(long)

  • Type: int
  • Default: 10000
  • Importance: low
rabbitmq.requested.channel.max

Initially requested maximum channel number. Zero for unlimited. See ConnectionFactory.setRequestedChannelMax(int)

  • Type: int
  • Default: 0
  • Importance: low
rabbitmq.requested.frame.max

Initially requested maximum frame size, in octets. Zero for unlimited. See ConnectionFactory.setRequestedFrameMax(int)

  • Type: int
  • Default: 0
  • Importance: low
rabbitmq.requested.heartbeat.seconds

Set the requested heartbeat timeout. Heartbeat frames will be sent at about 1/2 the timeout interval. If server heartbeat timeout is configured to a non-zero value, this method can only be used to lower the value; otherwise any value provided by the client will be used. See ConnectionFactory.setRequestedHeartbeat(int)

  • Type: int
  • Default: 60
  • Importance: low
rabbitmq.shutdown.timeout.ms

Set the shutdown timeout. This is the amount of time that Consumer implementations have to continue working through deliveries (and other Consumer callbacks) after the connection has closed but before the ConsumerWorkService is torn down. If consumers exceed this timeout then any remaining queued deliveries (and other Consumer callbacks, including the Consumer’s handleShutdownSignal() invocation) will be lost. See ConnectionFactory.setShutdownTimeout(int)

  • Type: int
  • Default: 10000
  • Importance: low
rabbitmq.topology.recovery.enabled

Enables or disables topology recovery. See ConnectionFactory.setTopologyRecoveryEnabled(boolean)

  • Type: boolean
  • Default: true
  • Importance: low

Source

kafka.topic

Apache Kafka® topic to write the messages to.

  • Type: string
  • Importance: high
rabbitmq.queue

RabbitMQ queue to read from.

  • Type: list
  • Importance: high
backoff.time.ms

The number of milliseconds to wait when no records are returned from the RabbitMQ queue.

  • Type: int
  • Default: 100
  • Valid Values: [1,…]
  • Importance: medium
batch.size

The maximum number of records to return to Connect for each poll, if there are more than this number of records already available from RabbitMQ. This setting is independent from the general producer setting batch.size

  • Type: int
  • Default: 1024
  • Valid Values: [1,…]
  • Importance: medium
rabbitmq.prefetch.count

Maximum number of messages that the server will deliver, 0 if unlimited. See Channel.basicQos(int, boolean)

  • Type: int
  • Default: 0
  • Importance: medium
rabbitmq.prefetch.global

True if the settings should be applied to the entire channel rather than each consumer. See Channel.basicQos(int, boolean)

  • 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 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..

Overriding Default Configuration Properties

You can override the replication factor using confluent.topic.replication.factor. For example, when using an 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.