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.gcp.bigtable.BigtableSinkConnector

Connector-specific configuration properties are described below.

Connection

gcp.bigtable.project.id

The ID of the BigTable project

  • Type: string
  • Importance: high
gcp.bigtable.instance.id

The ID of the BigTable instance

  • Type: string
  • Importance: high
gcp.bigtable.credentials.path

The path to the JSON service key file. Configure exactly one of gcp.bigtable.credentials.path and gcp.bigtable.credentials.json.

  • Type: string
  • Default: “”
  • Importance: high
gcp.bigtable.credentials.json

The contents of the JSON service key file. Configure exactly one of gcp.bigtable.credentials.path and gcp.bigtable.credentials.json.

  • Type: password
  • Default: null
  • Importance: high
gcp.bigtable.proxy.url

The url of a proxy to be used when connecting to BigTable. This property should only be used if you want to access Cloud BigTable through a proxy

  • Type: string
  • Default: “”
  • Importance: low
gcp.bigtable.proxy.user

Username used to authenticate the proxy. Set this property only if you need to access BigTable through a proxy. Using gcp.bigtable.proxy.user instead of embedding the username and password in gcp.bigtable.proxy.url enables the password to be hidden in the logs.

  • Type: string
  • Default: null
  • Importance: low
gcp.proxy.proxy.password

Password used to authenticate the proxy. Set this property only if you need to access BigTable through a proxy. Using gcp.bigtable.proxy.user instead of embedding the username and password in gcp.bigtable.proxy.url enables the password to be hidden in the logs.

  • Type: password
  • Default: null
  • Importance: low

Writes

insert.mode

The insertion mode to use. Supported modes are:

insert

The standard INSERT functionality: If the row to be written already exists in the table, an error is thrown.

upsert

If the row to be written already exists, then its column values are overwritten with the ones provided.

Note

An update mode is not supported because BigTable does not support atomic update operations.

  • Type: string
  • Default: INSERT
  • Valid Values: one of [INSERT, UPSERT]
  • Importance: high
max.batch.size

The maximum number of records that can be batched into a single upsert to BigTable.

Note

Since BigTable only supports inserting a value to a single row key and column at a time, max.batch.size must be exactly 1 when insert.mode is set to insert.

Tip

upsert provides a much higher throughput than insert.

  • Type: int
  • Default: 1
  • Valid Values: [1,…]
  • Importance: medium
error.mode

Specifies how to handle errors that result from writes to BigTable after retries.

fail

The connector fails and must be manually restarted.

warn

The connector logs a warning and continues operating normally.

ignore

The connector does not log a warning but continues operating normally.

  • Type: string
  • Default: FAIL
  • Valid Values: one of [IGNORE, FAIL, WARN]
  • Importance: medium

Data Mapping

table.name.format

The name of the destination table. Use ${topic} within the table name to specify the originating topic name.

For example, user_${topic} for the topic ‘stats’ will map to the table name ‘user_stats’.

  • Type: string
  • Default: ${topic}
  • Valid Values: Any non empty string value.
  • Importance: medium
gcp.bigtable.row.key.definition

A comma separated list of kafka record key field names that specifies the order of kafka key fields to be concatenated to form the row key.

For example:

If gcp.bigtable.row.key.definition is set to the list [username, post_id, time_stamp], when applied to the kafka key {'username': 'bob','post_id': '213', 'time_stamp': '123123'} and with delimiter # the row key would be bob#213#123123.

Terms nested in the key maybe also accessed using . as a delimiter.

If this configuration is empty or unspecified and the Kafka Message Key is a:

struct

All the top level fields of the struct as used to construct the row key.

byte array

The row key is set to the byte array as is.

primitive

The row key is set to the primitive after stringifying it.

Note

If the row key is specified and the key is either a primitive or a byte array, an error is thrown.

Tip

If prefixes, more complicated delimiters and string constants are required in your row key, consider configuring an SMT to add relevant fields to the Kafka record key.

  • Type: list
  • Default: “”
  • Importance: medium
gcp.bigtable.row.key.delimiter

The delimiter used in concatenating kafka key fields in the row key. If this configuration is empty or unspecified, the key fields will be concatenated together directly.

  • Type: string
  • Default: “”
  • Importance: low
auto.create.tables

Whether to automatically create the destination table if it is found to be missing.

  • Type: boolean
  • Default: false
  • Importance: medium
auto.create.column.families

Whether to automatically create missing columns families in the table relative to the record schema.

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

Retries

retry.timeout.ms

The maximum time in milliseconds allocated for retrying BigTable Database operations before trying other error handling mechanisms.

  • Type: long
  • Default: 60000
  • 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..

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.