Important

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Configuration Options

Connector

format.class

The format class to use when writing data to the store.

  • Type: class
  • Importance: high
flush.size

Number of records written to store before invoking file commits.

  • Type: int
  • Importance: high
rotate.interval.ms

The time interval in milliseconds to invoke file commits. This configuration ensures that file commits are invoked every configured interval. This configuration is useful when data ingestion rate is low and the connector didn’t write enough messages to commit files. The default value -1 means that this feature is disabled.

  • Type: long
  • Default: -1
  • Importance: high
rotate.schedule.interval.ms

The time interval in milliseconds to periodically invoke file commits. This configuration ensures that file commits are invoked every configured interval. Time of commit will be adjusted to 00:00 of selected timezone. Commit will be performed at scheduled time regardless previous 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 every hour. The default value -1 means that this feature is disabled.

  • Type: long
  • Default: -1
  • Importance: medium
schema.cache.size

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

  • Type: int
  • Default: 1000
  • Importance: low
retry.backoff.ms

The retry backoff in milliseconds. This config is used to notify Kafka connect to retry delivering a message batch or performing recovery in case of transient exceptions.

  • Type: long
  • Default: 5000
  • Importance: low
filename.offset.zero.pad.width

Width to zero pad offsets in store’s filenames if offsets are too short in order to provide fixed width filenames that can be ordered by simple lexicographic sorting.

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

S3

s3.bucket.name

The S3 Bucket.

  • Type: string
  • Importance: high
s3.region

The AWS region to be used the connector.

  • Type: string
  • Default: us-west-2
  • Valid Values: [us-gov-west-1, ap-northeast-1, ap-northeast-2, ap-south-1, ap-southeast-1, ap-southeast-2, ca-central-1, eu-central-1, eu-west-1, eu-west-2, sa-east-1, us-east-1, us-east-2, us-west-1, us-west-2, cn-north-1]
  • Importance: medium
s3.part.size

The Part Size in S3 Multi-part Uploads.

  • Type: int
  • Default: 26214400
  • Valid Values: [5242880,…,2147483647]
  • Importance: high
s3.credentials.provider.class

Credentials provider or provider chain to use for authentication to AWS. By default the connector uses ‘DefaultAWSCredentialsProviderChain’.

  • Type: class
  • Default: com.amazonaws.auth.DefaultAWSCredentialsProviderChain
  • Valid Values: Any class implementing: interface com.amazonaws.auth.AWSCredentialsProvider
  • Importance: low
s3.ssea.name

The S3 Server Side Encryption Algorithm.

  • Type: string
  • Default: “”
  • Importance: low
s3.wan.mode

Use S3 accelerated endpoint.

  • Type: boolean
  • Default: false
  • Importance: medium
avro.codec

The Avro compression codec to be used for output files. Available values: null, deflate, snappy and bzip2 (codec source is org.apache.avro.file.CodecFactory)

  • Type: string
  • Default: null
  • Importance: low

Storage

storage.class

The underlying storage layer.

  • Type: class
  • Importance: high
topics.dir

Top level directory to store the data ingested from Kafka.

  • Type: string
  • Default: topics
  • Importance: high
store.url

Store’s connection URL, if applicable.

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

Directory delimiter pattern

  • Type: string
  • Default: /
  • Importance: medium
file.delim

File delimiter pattern

  • Type: string
  • Default: +
  • Importance: medium

Partitioner

partitioner.class

The partitioner to use when writing data to the store. You can use DefaultPartitioner, which preserves the Kafka partitions; FieldPartitioner, which partitions the data to different directories according to the value of the partitioning field specified in partition.field.name; TimeBasedPartitioner, which partitions data according to ingestion time.

  • Type: class
  • Default: io.confluent.connect.storage.partitioner.DefaultPartitioner
  • Importance: high
  • Dependents: partition.field.name, partition.duration.ms, path.format, locale, timezone, schema.generator.class
schema.generator.class

The schema generator to use with partitioners.

  • Type: class
  • Importance: high
partition.field.name

The name of the partitioning field when FieldPartitioner is used.

  • Type: string
  • Default: “”
  • Importance: medium
partition.duration.ms

The duration of a partition milliseconds used by TimeBasedPartitioner. The default value -1 means that we are not using TimeBasedPartitioner.

  • Type: long
  • Default: -1
  • Importance: medium
path.format

This configuration is used to set the format of the data directories when partitioning with TimeBasedPartitioner. The format set in this configuration converts the Unix timestamp to proper directories strings. For example, if you set path.format='year'=YYYY/'month'=MM/'day'=dd/'hour'=HH, the data directories will have the format /year=2015/month=12/day=07/hour=15/.

  • Type: string
  • Default: “”
  • Importance: medium
locale

The locale to use when partitioning with TimeBasedPartitioner.

  • Type: string
  • Default: “”
  • Importance: medium
timezone

The timezone to use when partitioning with TimeBasedPartitioner.

  • Type: string
  • Default: “”
  • Importance: medium
timestamp.extractor

The extractor that gets the timestamp for records when partitioning with TimeBasedPartitioner. It can be set to Wallclock, Record or RecordField in order to use one of the built-in timestamp extractors or be given the fully-qualified class name of a user-defined class that extends the TimestampExtractor interface.

  • Type: string
  • Default: Wallclock
  • Importance: medium
timestamp.field

The record field to be used as timestamp by the timestamp extractor.

  • Type: string
  • Default: timestamp
  • Importance: medium