object InputMeta
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def
apply(key: Any, topic: String, partition: Integer, offset: Long, timestamp: Long, timestampType: TimestampType, headers: Map[String, String], leaderEpoch: Integer): Map[String, Any]
InputMeta represents kafka event metadata.
InputMeta represents kafka event metadata. It is based on org.apache.kafka.clients.consumer.ConsumerRecord. Ignored fields: checksum, serializedKeySize, serializedValueSize.
- key
- event key
- topic
- kafka topic
- partition
- kafka partition
- offset
- event offset
- timestamp
- event timestamp
- timestampType
- see org.apache.kafka.common.record.TimestampType
- headers
- event headers converted to map
- leaderEpoch
- number of leaders previously assigned by the controller (> 0 indicates leader failure)
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- val headersParameterName: String
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isInstanceOf[T0]: Boolean
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- val keyParameterName: String
- val leaderEpochParameterName: String
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- val offsetParameterName: String
- val partitionParameterName: String
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synchronized[T0](arg0: ⇒ T0): T0
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- val timestampParameterName: String
- val timestampTypeParameterName: String
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toString(): String
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- val topicParameterName: String
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def
withType(keyTypingResult: TypingResult): TypingResult
Provides definition of whole metadata object, with given key type definition (keyTypingResult).
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(Since version ) see corresponding Javadoc for more information.