<a id="cp-databricks-delta-lake-sink-config-properties"></a>

# Configuration Reference for Databricks Delta Lake Sink for Confluent Platform

The following connector configuration properties are used with the Databricks
Delta Lake Sink connector for Confluent Platform. For common sink connector configuration
properties, see the [Kafka Sink Connector Configuration Reference](https://docs.confluent.io/platform/current/connect/references/connector-configs.html)
page.

#### NOTE
These are properties for the self-managed connector. If you are using
Confluent Cloud, see [Databricks Delta Lake Sink Connector for Confluent
Cloud](/cloud/current/connectors/cc-databricks-delta-lake-sink/cc-databricks-delta-lake-sink.html).

`delta.lake.table2partition.map`
: A map of tables to partition fields in the format of comma-separated tuples
  (for example, `<table-1>:<partition-1>,<table-2>:<partition-2>,...`)
  <br/>
  * Type: String
  * Importance: Low
  * Default value: “”

`delta.lake.host.name`
: The Databricks Delta Lake server hostname.
  <br/>
  * Type: String
  * Importance: High

`delta.lake.http.path`
: The HTTP path used to connect to the Databricks Delta Lake instance.
  <br/>
  * Type: String
  * Importance: High

`delta.lake.token`
: The personal access token authenticates the user when connecting to the
  Databricks Delta Lake instance using JDBC.
  <br/>
  * Type: Password
  * Importance: High

`staging.s3.access.key.id`
: The AWS access key is used to connect to the S3 staging bucket.
  <br/>
  * Type: Password
  * Importance: High

`staging.s3.secret.access.key`
: The AWS secret access key is used to connect to the S3 staging bucket.
  <br/>
  * Type: Password
  * Importance: High

`staging.bucket.name`
: The S3 staging bucket where files get written to from Kafka, and that
  subsequently get copied into the Databricks Delta Lake table.
  <br/>
  * Type: String
  * Importance: High

`delta.lake.table.format`
: A format string for the destination table name, which may contain `${topic}`
  as a placeholder for the originating topic name. For example, to create a
  table named `kafka-orders` based on a Kafka topic named `orders`, you would
  enter `kafka-${topic}` in this field. Note that you must use the
  `${topic}` placeholder if you have multiple originating topics.
  <br/>
  * Type: String
  * Default value: `${topic}`
  * Importance: Medium

`delta.lake.topic2table.map`
: Map of topics to tables in the format of comma-separated tuples. For example,
  `<topic-1>:<table-1>,<topic-2>:<table-2>,...`.
  <br/>
  * Type: String
  * Default value: `${topic}`
  * Importance: Low

`delta.lake.table.auto.create`
: Whether to automatically create the destination table (based on the record
  schema) if it does not exist. Defaults to `false`.
  <br/>
  * Type: String
  * Default value: false
  * Importance: Medium

`delta.lake.tables.location`
: The underlying location where the data in the Delta Lake table or tables are
  stored.
  <br/>
  * Type: String
  * Default value: “”
  * Importance: Medium

`delta.lake.table2partition.map`
: Map of tables to partition fields in the format of comma-separated tuples. For example,
  `<table-1>:<partition-1>,<table-1>:<partition-2>,<table-2>:<partition-3>...`.
  <br/>
  * Type: String
  * Default value: “”
  * Importance: Low

`flush.interval.ms`
: The time interval in milliseconds (ms) to periodically invoke file commits.
  This property ensures the connector invokes file commits at every configured
  interval. The commit time is adjusted to `00:00` UTC. The commit is
  performed at the scheduled time, regardless of the last commit time or number
  of messages. This configuration is useful when you have to commit your data
  based on current server time, like at the beginning of each hour. The default
  value used is `300,000` ms (5 minutes).
  <br/>
  * Type: Long
  * Default value: 300000
  * Importance: Medium

`delta.lake.topic2table.map`
: Map of topics to tables (optional). Create mapping as comma-separated tuples.
  For example: `<topic-1>:<table-1>,<topic-2>:<table-2>,...`. If you use
  this property, the connector ignores any string entered for
  `delta.lake.table.format`.
  <br/>
  * Type: String
  * Default value: `${topic}`
  * Importance: Low

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## 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