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it.agilelab.bigdata.wasp.consumers.spark.plugins.kafka

KafkaSparkStructuredStreamingReader

Related Doc: package kafka

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object KafkaSparkStructuredStreamingReader extends SparkStructuredStreamingReader with Logging

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Logging, SparkStructuredStreamingReader, AnyRef, Any
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def createStructuredStream(etl: StructuredStreamingETLModel, streamingReaderModel: StreamingReaderModel)(implicit ss: SparkSession): DataFrame

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    Creates a streaming DataFrame from a Kafka streaming source.

    Creates a streaming DataFrame from a Kafka streaming source.

    The returned DataFrame will contain a column named "kafkaMetadata" column with message metadata and the message contents either as a single column named "value" or as multiple columns named after the value contents depending on the topic data type.

    The "kafkaMetadata" column contains the following: - key: bytes - headers: array of {headerKey: string, headerValue: bytes} - topic: string - partition: int - offset: long - timestamp: timestamp - timestampType: int

    The behaviour for message contents column(s) is the following: - the "avro" and "json" topic data types will output the columns specified by their schemas - the "plaintext" and "bytes" topic data types output a "value" column with the contents as string or bytes respectively

    Definition Classes
    KafkaSparkStructuredStreamingReader → SparkStructuredStreamingReader
  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. val logger: WaspLogger

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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Inherited from Logging

Inherited from SparkStructuredStreamingReader

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