Configuration Properties

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

connector.class=io.confluent.connect.gcs.GcsSourceConnector

Connector-specific configuration properties are described below.

GCS Parameters

gcs.bucket.name

The name of the GCS bucket.

  • Type: string
  • Importance: high
gcs.part.retries

Number of download retries of a single GCS part. Zero means no retries.

  • Type: int
  • Default: 3
  • Valid Values: [0,…]
  • Importance: medium
gcs.retry.backoff.ms

How long to wait in milliseconds before attempting the first retry of a failed GCS request. Upon a failure, this connector may wait up to twice as long as the previous wait, up to the maximum number of retries. This avoids retrying in a tight loop under failure scenarios.

  • Type: long
  • Default: 200
  • Valid Values: [0,…]
  • Importance: low
gcs.credentials.path

Path to credentials file. If empty, credentials are read from the GOOGLE_APPLICATION_CREDENTIALS environment variable.

  • Type: string
  • Importance: high

Connector Parameters

gcs.poll.interval.ms

Frequency, in milliseconds, to poll for new or removed folders. This may result in updated task configurations that start polling for data in added folders or stop polling for data in removed folders.

  • Type: long
  • Default: 60000
  • Importance: medium
format.class

Class responsible for converting storage objects to source records.

  • Type: class
  • Valid Values: Any class that implements these three classes:
    • io.confluent.connect.cloud.storage.source.format.CloudStorageAvroFormat
    • io.confluent.connect.cloud.storage.source.format.CloudStorageJsonFormat
    • io.confluent.connect.cloud.storage.source.format.CloudStorageByteArrayFormat
  • Importance: high

Note

Confluent provides the following three classes for you to use with the GCS Source connector. You can use the values below, or create your own implementation of the classes listed in Valid Values above.

  • io.confluent.connect.gcs.format.avro.AvroFormat
  • io.confluent.connect.gcs.format.json.JsonFormat
  • io.confluent.connect.gcs.format.bytearray.ByteArrayFormat
schema.cache.size

The size of the schema cache used in the Avro converter.

  • Type: int
  • Default: 50
  • Valid Values: [1,…]
  • Importance: low
record.batch.max.size

The maximum number of records to return each time storage is polled.

  • Type: int
  • Default: 200
  • Valid Values: [1,…]
  • Importance: medium

Storage Parameters

format.bytearray.extension

Output file extension for Byte Array Format. Defaults to .bin.

  • Type: string
  • Default: .bin
  • Importance: low
format.bytearray.separator

String inserted between records for ByteArrayFormat. Defaults to System.lineSeparator() and may contain escape sequences like \n. An input record that contains the line separator looks like multiple records in the storage object output.

  • Type: string
  • Default: null
  • Importance: low
topics.dir

Top level directory where data was stored to be re-ingested by Kafka.

  • Type: string
  • Default: topics
  • Importance: high
directory.delim

Directory delimiter pattern.

  • Type: string
  • Default: /
  • Importance: medium
behavior.on.error

Sets how the connector handles errors that occur when processing records.

  • Type: string
  • Default: fail
  • Valid Values: Matches: fail, ignore, log
  • Importance: medium

Partitioner Parameters

partitioner.class

The partitioner to use when reading data to the store.

  • Type: class
  • Default: io.confluent.connect.gcs.source.partitioner.DefaultPartitioner
  • Importance: high
partition.field.name

The name of the partitioning field when FieldPartitioner is used.

  • Type: list
  • Default: “”
  • Importance: medium
path.format

The configuration that was used to set the format of the data directories when partitioning with a TimeBasedPartitioner. For example, if you set path.format to 'year'=YYYY/'month'=MM/'day'=dd/'hour'=HH, then valid data directories would be: /year=2015/month=12/day=07/hour=15/.

  • Type: string
  • 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 host1:port1,host2:port2,.... Because these servers are only 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.