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Mask{Key,Value}Mask or replace the specified primitive fields, assuming there is a top-level Struct.

Obscure sensitive info like credit card numbers.

  • randomize.fields – fields to replace with random data
  • clobber.fields – map of fields to replacement string/number
InsertIn{Key,Value}Insert specified fields with given name, assuming there is a top-level Struct.Widely applicable to insert certain record metadata.
  • topic – the target field name for record topic

  • partition – the target field name for record partition

  • offset – the target field name for record offset

  • timestamp – the target field name for record timestamp


Timestamp-based routing.

Useful for temporal data e.g. application log data being indexed to a search system with a sink connector can be routed to a daily index.

  • topic.format – format string which can contain ${topic} and ${timestamp} as placeholders for the original topic and the timestamp, respectively

  • timestamp.format – a format string compatible with SimpleDateFormat
RegexRouterRegex-based routing.There are too many inconsistent configs to route in different connectors.
  • regex
  • replacement


Create or replace record key with data from record value.

Useful when a source connector does not populate the record key but only the value with a Struct.

  • fields – list of field names to hoist into the record key as a primitive (single field ) / Struct (multiple fields)
  • force.struct – force wrapping in a Struct even when it is a single field

Flatten nested Structs inside a top-level Struct, omitting all other non-primitive fields.

Useful for sink connectors that can only deal with flat Structs.
  • delimiter – the delimiter to use when flattening field names

Filter and rename fields.

Useful for lightweight data munging.
  • whitelist – fields to include
  • blacklist – fields to exclude
  • rename – map of old field names to new field names

Casting of numeric field to some specified numeric type.

Useful in conjunction with source connectors that don't have enough information and utilize an unnecessarily wide data type.
  • spec – map of field name to type (i.e. boolean, int8, int16, int32, int64, float32, float64)
TimestampConverterConvert datatype of a timestamp field.Timestamps are represented in a ton of different ways, provide a transformation from going between strings, epoch times as longs, and Connect date/time types.
  • field – the field name (optional, can be left out in case of primitive data)
  • target.type – desired type (i.e. string, long, Date, Time, Timestamp)
  • format – in case converting to or from a string, a SimpleDateFormat-compatible format string

Wrap data in a Struct.

Useful when a transformation or sink connector expects Struct but the data is a primitive type.
  • – name for the new Struct schema
  • field – field name for the original data within this Struct
Extract a specific field from a Struct.The inverse of Hoist{Key,Value}ToStruct
  • field – field name to extract
Set{Key,Value}SchemaMetadataSet/clobber Schema name or version.Allow setting or overriding the schema name and/or version where necessary.
  • name – the schema name, allowing for ${topic} as placeholder.
  • version – the schema version