Configuration Properties

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

connector.class=io.confluent.vertica.VerticaSinkConnector

Connector-specific configuration properties are described below.

Connection

vertica.database

The database on the Vertica system. This is used to build the JDBC URL.

  • Type: string
  • Importance: high
vertica.host

The Vertica host to connect to. This is used to build the JDBC URL.

  • Type: string
  • Importance: high
vertica.password

The password to authenticate to Vertica with.

  • Type: password
  • Importance: high
vertica.username

The username to authenticate to Vertica with.

  • Type: string
  • Importance: high
vertica.port

The Vertica port to connect to. This is used to build the JDBC URL.

  • Type: int
  • Default: 5433
  • Valid Values: ValidPort{start=1025, end=65535}
  • Importance: medium

Writes

stream.builder.cache.ms

The amount of time in milliseconds to cache the stream builder objects that are used to define the table structure.

  • Type: int
  • Default: 300000
  • Valid Values: [1000,…,2147483647]
  • Importance: high
vertica.buffer.size.bytes

The buffer for the input stream that is used by the Vertica Copy Stream.

  • Type: int
  • Default: 1048576
  • Importance: high
vertica.timeout.ms

The timeout for completing the write to Vertica.

  • Type: int
  • Default: 60000
  • Valid Values: [10000,…,2147483647]
  • Importance: high
vertica.compression

The type of compression for the data load.

  • Type: string
  • Default: UNCOMPRESSED
  • Valid Values: Matches: UNCOMPRESSED, BZIP, GZIP, LZO
  • Importance: medium
rejected.record.table.suffix

Suffix value for the Vertica rejected records table name. With this configuration, we can provide any suffix along with a date format placeholder, for example _rejected_${yyyyddMM}. The placeholder is replaced by the current timestamp in the provided date format and is appended to the table name. By default, the value of the config is _rejected which is added as a suffix to the Vertica table name. This config is only required when rejected.record.logging.mode is set to TABLE.

  • Type: string
  • Default: _rejected
  • Importance: medium
vertica.load.method

The method for loading data.

  • Type: string
  • Default: AUTO
  • Valid Values: Matches: AUTO, DIRECT, TRICKLE
  • Importance: medium
expected.records

The expected number of records the connector will process each time.

  • Type: int
  • Default: 10000
  • Importance: low
expected.topics

The expected number of topics the connector will process in a poll.

  • Type: int
  • Default: 500
  • Importance: low
delete.enabled

Set this value to true to process delete requests for tombstone records i.e. when Kafka record’s value is null. The pk.mode configuration should also be set to record_key to allow delete requests to be processed based on the fields present in Kafka record’s key.

  • Type: boolean
  • Default: false
  • Importance: medium

Data Mapping

pk.mode

The primary key mode, also refer to pk.fields documentation for interplay. Supported modes are:

none
No keys utilized.
kafka
Kafka coordinates are used as the PK.
record_key
Field(s) from the record key are used, which may be a primitive or a struct.
record_value
Field(s) from the record value are used, which must be a struct.
  • Type: string
  • Default: none
  • Valid Values: [none, kafka, record_key, record_value]
  • Importance: high
pk.fields

List of comma-separated primary key field names. The runtime interpretation of this config depends on the pk.mode:

none
Ignored as no fields are used as primary key in this mode.
kafka
Must be a trio representing the Kafka coordinates, defaults to __connect_topic,__connect_partition,__connect_offset if empty.
record_key
If empty, all fields from the key struct will be used, otherwise used to extract the desired fields - for primitive key only a single field name must be configured.
record_value
If empty, all fields from the value struct will be used, otherwise used to extract the desired fields.
  • Type: list
  • Default: “”
  • 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 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.