Important

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Teradata 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.teradata.TeradataSinkConnector

Connector-specific configuration properties are described below.

Connection¶

teradata.database

Name of a database

Type: string
Importance: high

teradata.url

URL for remote database

Type: string
Valid Values: URI with one of these schemes: ‘jdbc’
Importance: high

teradata.username

Username for database authentication

Type: string
Importance: high

teradata.password

Password for database authentication

Type: password
Importance: high

Database Connection Security¶

If you wish to enable encryption for data being read or written to Teradata, you will need to pass an additional configuration parameter in the teradata.url, ENCRYPTDATA=ON,. Whenever you specify any options in the teradata URL, you _must_ leave a trailing comma. For example, a configuration with encryption enabled would look like:

connection.url="jdbc:teradata://127.0.0.1/ENCRYPTDATA=ON,"

For full documentation of these URL options, see the JDBC Driver documentation

Writes¶

insert.mode

The insertion mode to use. Supported modes are:

insert: Use standard SQL INSERT statements.
update: Use the appropriate update semantics for the target database if it is supported by the connector, e.g. UPDATE.

Type: string
Default: insert
Valid Values: [insert, update]
Importance: high

batch.size

Specifies how many records to attempt to batch together for insertion into the destination table, when possible.

Type: int
Default: 3000
Valid Values: [0,…]
Importance: medium

Data Mapping¶

table.name.format

A format string for the destination table name, which may contain ‘${topic}’ as a placeholder for the originating topic name.

For example, kafka_${topic} for the topic ‘orders’ will map to the table name ‘kafka_orders’.

Type: string
Default: ${topic}
Importance: medium

pk.mode

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

none: No keys utilized.
kafka: Apache 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: none
Importance: medium

fields.whitelist

List of comma-separated record value field names. If empty, all fields from the record value are utilized, otherwise used to filter to the desired fields.

Note that pk.fields is applied independently in the context of which field(s) form the primary key columns in the destination database, while this configuration is applicable for the other columns.

Type: list
Default: “”
Importance: medium

db.timezone

Name of the JDBC timezone that should be used in the connector when inserting time-based values. Defaults to UTC.

Type: string
Default: “UTC”
Importance: medium

DDL Support¶

auto.create

Whether to automatically create the destination table based on record schema if it is found to be missing by issuing CREATE.

Type: boolean
Default: false
Importance: medium

auto.evolve

Whether to automatically add columns in the table schema when found to be missing relative to the record schema by issuing ALTER.

Type: boolean
Default: false
Importance: medium

quote.sql.identifiers

When to quote table names, column names, and other identifiers in SQL statements. For backward compatibility, the default is ‘always’.

Type: string
Default: ALWAYS
Importance: medium

Retries¶

max.retries

The maximum number of times to retry on errors before failing the task.

Type: int
Default: 10
Valid Values: [0,…]
Importance: medium

retry.backoff.ms

The time in milliseconds to wait following an error before a retry attempt is made.

Type: int
Default: 3000
Valid Values: [0,…]
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..

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.