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object SparkConnectStreamHandler

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Type Members

  1. type Batch = (Array[Byte], Long)

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. def createMetricsResponse(sessionId: String, rows: DataFrame): ExecutePlanResponse
  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: AnyRef): Boolean
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  9. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable])
  10. final def getClass(): Class[_ <: AnyRef]
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    @native()
  11. def hashCode(): Int
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    @native()
  12. final def isInstanceOf[T0]: Boolean
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  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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    @native()
  15. final def notifyAll(): Unit
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    @native()
  16. def processAsArrowBatches(sessionId: String, dataframe: DataFrame, responseObserver: StreamObserver[ExecutePlanResponse]): Unit
  17. def rowToArrowConverter(schema: StructType, maxRecordsPerBatch: Int, maxBatchSize: Long, timeZoneId: String): (Iterator[InternalRow]) => Iterator[Batch]
  18. def sendObservedMetricsToResponse(sessionId: String, dataframe: DataFrame): ExecutePlanResponse
  19. def sendSchemaToResponse(sessionId: String, schema: StructType): ExecutePlanResponse
  20. final def synchronized[T0](arg0: => T0): T0
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  21. def toString(): String
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  22. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long): Unit
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    @throws(classOf[java.lang.InterruptedException]) @native()

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