Packages

class ArrowPythonRunner extends BasePythonRunner[Iterator[InternalRow], ColumnarBatch] with BasicPythonArrowInput with BasicPythonArrowOutput

Similar to PythonUDFRunner, but exchange data with Python worker via Arrow stream.

Linear Supertypes
BasicPythonArrowOutput, PythonArrowOutput[ColumnarBatch], BasicPythonArrowInput, PythonArrowInput[Iterator[InternalRow]], BasePythonRunner[Iterator[InternalRow], ColumnarBatch], Logging, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ArrowPythonRunner
  2. BasicPythonArrowOutput
  3. PythonArrowOutput
  4. BasicPythonArrowInput
  5. PythonArrowInput
  6. BasePythonRunner
  7. Logging
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new ArrowPythonRunner(funcs: Seq[ChainedPythonFunctions], evalType: Int, argOffsets: Array[Array[Int]], schema: StructType, timeZoneId: String, largeVarTypes: Boolean, workerConf: Map[String, String], pythonMetrics: Map[String, SQLMetric], jobArtifactUUID: Option[String])

Type Members

  1. class MonitorThread extends Thread
    Definition Classes
    BasePythonRunner
  2. abstract class ReaderIterator extends Iterator[OUT]
    Definition Classes
    BasePythonRunner
  3. class WriterMonitorThread extends Thread
    Definition Classes
    BasePythonRunner
  4. abstract class WriterThread extends Thread
    Definition Classes
    BasePythonRunner

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val accumulator: PythonAccumulatorV2
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  5. val argOffsets: Array[Array[Int]]
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. val authSocketTimeout: Long
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  8. val bufferSize: Int
    Definition Classes
    ArrowPythonRunner → BasePythonRunner
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  10. def compute(inputIterator: Iterator[Iterator[InternalRow]], partitionIndex: Int, context: TaskContext): Iterator[ColumnarBatch]
    Definition Classes
    BasePythonRunner
  11. def deserializeColumnarBatch(batch: ColumnarBatch, schema: StructType): ColumnarBatch
    Attributes
    protected
    Definition Classes
    BasicPythonArrowOutput → PythonArrowOutput
  12. val envVars: Map[String, String]
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  15. val errorOnDuplicatedFieldNames: Boolean
    Definition Classes
    ArrowPythonRunner → PythonArrowInput
  16. val evalType: Int
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  17. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  18. val funcs: Seq[ChainedPythonFunctions]
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  19. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def handleMetadataAfterExec(stream: DataInputStream): Unit
    Attributes
    protected
    Definition Classes
    PythonArrowOutput
  21. def handleMetadataBeforeExec(stream: DataOutputStream): Unit
    Attributes
    protected
    Definition Classes
    PythonArrowInput
  22. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  23. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  24. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  26. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  27. val jobArtifactUUID: Option[String]
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  28. val largeVarTypes: Boolean
    Attributes
    protected
    Definition Classes
    ArrowPythonRunner → PythonArrowInput
  29. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  30. def logDebug(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logDebug(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logError(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  33. def logError(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. def logInfo(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. def logInfo(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  37. def logTrace(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logTrace(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logWarning(msg: => String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logWarning(msg: => String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  42. def newReaderIterator(stream: DataInputStream, writerThread: WriterThread, startTime: Long, env: SparkEnv, worker: Socket, pid: Option[Int], releasedOrClosed: AtomicBoolean, context: TaskContext): Iterator[ColumnarBatch]
    Attributes
    protected
    Definition Classes
    PythonArrowOutput
  43. def newWriterThread(env: SparkEnv, worker: Socket, inputIterator: Iterator[Iterator[InternalRow]], partitionIndex: Int, context: TaskContext): WriterThread
    Attributes
    protected
    Definition Classes
    PythonArrowInput
  44. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  45. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  46. val pythonExec: String
    Definition Classes
    ArrowPythonRunner → BasePythonRunner
  47. val pythonMetrics: Map[String, SQLMetric]
    Definition Classes
    ArrowPythonRunner → PythonArrowOutput → PythonArrowInput
  48. val pythonVer: String
    Attributes
    protected
    Definition Classes
    BasePythonRunner
  49. val schema: StructType
    Attributes
    protected
    Definition Classes
    ArrowPythonRunner → PythonArrowInput
  50. val simplifiedTraceback: Boolean
    Definition Classes
    ArrowPythonRunner → BasePythonRunner
  51. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  52. val timeZoneId: String
    Attributes
    protected
    Definition Classes
    ArrowPythonRunner → PythonArrowInput
  53. def toString(): String
    Definition Classes
    AnyRef → Any
  54. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  55. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  56. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  57. val workerConf: Map[String, String]
    Attributes
    protected
    Definition Classes
    ArrowPythonRunner → PythonArrowInput
  58. def writeIteratorToArrowStream(root: VectorSchemaRoot, writer: ArrowStreamWriter, dataOut: DataOutputStream, inputIterator: Iterator[Iterator[InternalRow]]): Unit
    Attributes
    protected
    Definition Classes
    BasicPythonArrowInput → PythonArrowInput
  59. def writeUDF(dataOut: DataOutputStream, funcs: Seq[ChainedPythonFunctions], argOffsets: Array[Array[Int]]): Unit
    Attributes
    protected
    Definition Classes
    PythonArrowInput

Inherited from BasicPythonArrowOutput

Inherited from PythonArrowOutput[ColumnarBatch]

Inherited from BasicPythonArrowInput

Inherited from PythonArrowInput[Iterator[InternalRow]]

Inherited from BasePythonRunner[Iterator[InternalRow], ColumnarBatch]

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped