<a id="connect-vertica-sink-configuration-options"></a>

# Configuration Reference for Vertica Sink Connector for Confluent Platform

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

```none
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.
  <br/>
  * Type: string
  * Importance: high

`vertica.host`
: The Vertica host to connect to. This is used to build the JDBC URL.
  <br/>
  * Type: string
  * Importance: high

`vertica.password`
: The password to authenticate to Vertica with.
  <br/>
  * Type: password
  * Importance: high

`vertica.username`
: The username to authenticate to Vertica with.
  <br/>
  * Type: string
  * Importance: high

`vertica.port`
: The Vertica port to connect to. This is used to build the JDBC URL.
  <br/>
  * Type: int
  * Default: 5433
  * Valid Values: ValidPort{start=1025, end=65535}
  * Importance: medium

`max.hikari.connection.pool.size`
: The maximum number of connections the HikariCp pool will contain.
  <br/>
  * Type: int
  * Default: 10
  * Valid Values: [1,…]
  * 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.
  <br/>
  * 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.
  <br/>
  * Type: int
  * Default: 1048576
  * Importance: high

`vertica.timeout.ms`
: The timeout for completing the write to Vertica.
  <br/>
  * Type: int
  * Default: 60000
  * Valid Values: [10000,…,2147483647]
  * Importance: high

`vertica.compression`
: The type of compression for the data load.
  <br/>
  * Type: string
  * Default: UNCOMPRESSED
  * Valid Values: `UNCOMPRESSED`, `BZIP`, `GZIP`, `LZO`
  * Importance: medium

`rejected.record.logging.mode`
: Logging mode when Vertica rejects a record. Must be configured to one of the following:
  <br/>
  `log`
  : Logs the rejected records; available in Connect logs.
  <br/>
  `file`
  : Writes the rejected records and exceptions to the configured files. The `rejected.record.path` and `rejected.record.exception.path` should be configured to the designated file paths.
  <br/>
  `table`
  : Writes the rejected records and exceptions of Vertica tables to the respective rejected tables with the same table name appended with corresponding value of `rejected.record.table.suffix`.
  <br/>
  * Type: string
  * Default: log
  * Valid Values: [log, file, table]
  * Importance: medium

`rejected.record.path`
: Local directory path where the rejected records from Vertica are stored. This config is only required when `rejected.record.logging.mode` is set to `FILE`.
  <br/>
  * Type: string
  * Default: “”
  * Importance: medium

`rejected.record.exception.path`
: Local directory path where the exceptions of rejected records from Vertica are stored. This config is only required when `rejected.record.logging.mode` is set to `FILE`.
  <br/>
  * Type: string
  * Default: “”
  * Importance: medium

`rejected.record.table.suffix`
: Suffix value for the Vertica rejected records table name. With this configuration, you 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`.
  <br/>
  * Type: string
  * Default: \_rejected
  * Importance: medium

`rejected.record.table.schema`
: Schema name for Vertica rejected records table name. This config is only required when `rejected.record.logging.mode` is set to `TABLE`.
  <br/>
  * Type: string
  * Default: “”
  * Importance: medium

`vertica.load.method`
: The method for loading data.
  <br/>
  * Type: string
  * Default: AUTO
  * Valid values: `AUTO`, `DIRECT`, `TRICKLE`
  * Importance: medium

`expected.records`
: The expected number of records the connector will process each time.
  <br/>
  * Type: int
  * Default: 10000
  * Importance: low

`expected.topics`
: The expected number of topics the connector will process in a poll.
  <br/>
  * Type: int
  * Default: 500
  * Importance: low

`delete.enabled`
: Set this value to `true` to process delete requests for tombstone records—that is, 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.
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`table.name.format`
: A format string for the destination schema table name, which may contain `${topic}` as a placeholder for the originating topic name.
  <br/>
  For example, `kafka_${topic}` for the topic `orders` will map to the table name `kafka_orders` and default schema name `public`. Also, you can use this to configure the schema name. For example, `kafka_schema.kafka_${topic}` for the topic `orders` maps to the table name `kafka_orders` and schema name `kafka_schema`.
  <br/>
  * Type: string
  * Default: ${topic}
  * Importance: medium

## DDL Support

`auto.create`
: Whether to issue `CREATE` and automatically create a missing destination table (based on the record schema).
  <br/>
  * Type: boolean
  * Default: false
  * Importance: medium

`auto.evolve`
: Whether to issue `ALTER` and automatically add missing columns to the table schema relative to the record schema.
  <br/>
  * 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:
  <br/>
  `none`
  : No keys utilized.
  <br/>
  `kafka`
  : Kafka coordinates are used as the PK.
  <br/>
  `record_key`
  : Field(s) from the record key are used, which may be a primitive or a struct.
  <br/>
  `record_value`
  : Field(s) from the record value are used, which must be a struct.
  <br/>
  * 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`:
  <br/>
  `none`
  : Ignored as no fields are used as primary key in this mode.
  <br/>
  `kafka`
  : Must be a trio representing the Kafka coordinates, defaults to `__connect_topic,__connect_partition,__connect_offset` if empty.
  <br/>
  `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.
  <br/>
  `record_value`
  : If empty, all fields from the value struct will be used, otherwise used to extract the desired fields.
  <br/>
  * Type: list
  * Default: “”
  * Importance: medium



## CSFLE and CSPE configurations

`csfle.enabled`

Accepts a boolean value. CSFLE is enabled for the connector if `csfle.enabled` is set to True.

* Type: boolean
* Default: False

`auto.register.schemas`

Specifies if the Serializer should attempt to register the Schema with Schema Registry.

* Type: boolean
* Default: true
* Importance: medium

`use.latest.version`

Only applies when `auto.register.schemas` is set to false. If `auto.register.schemas` is set to false and `use.latest.version` is set to true, then instead of deriving a schema for the object passed to the client for serialization, Schema Registry uses the latest version of the schema in the subject for serialization.

* Type: boolean
* Default: true
* Importance: medium

<a id="vertica-connector-license-config"></a>

## 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).
  <br/>
  * Type: list
  * Importance: high

`confluent.topic`
: Name of the Kafka topic used for Confluent Platform configuration, including licensing information.
  <br/>
  * 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).
  <br/>
  * Type: int
  * Default: 3
  * Importance: low

### Confluent license properties

You can put license-related properties in the connector configuration, or in license-related properties in the
[Connect worker configuration](https://docs.confluent.io/kafka-connectors/self-managed/license.html#centralized-license-in-the-kconnect-long-worker) 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.
  <br/>
  If you are a subscriber, contact Confluent Support for more information.
  <br/>
  * Type: string
  * Default: “”
  * Valid Values: Confluent Platform license
  * Importance: high

`confluent.topic.ssl.truststore.location`
: The location of the trust store file.
  <br/>
  * 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.
  <br/>
  * 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.
  <br/>
  * 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.
  <br/>
  * 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.
  <br/>
  * 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.
  <br/>
  * Type: string
  * Default: “PLAINTEXT”
  * Importance: medium

<a id="vertica-license-topic-configuration"></a>

### 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.

```none
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](/platform/current/kafka/authorization.html#acl-wildcard-principals) to
allow all clients. The following examples show commands that you can use to
configure ACLs for the resource cluster and `_confluent-command` topic.

1. Set a CREATE and DESCRIBE ACL on the resource cluster:
   ```none
   kafka-acls --bootstrap-server localhost:9092 --command-config adminclient-configs.conf \
   --add --allow-principal User:<principal> \
   --operation CREATE --operation DESCRIBE --cluster
   ```
2. Set a DESCRIBE, READ, and WRITE ACL on the `_confluent-command` topic:
   ```none
   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.
