Object

org.apache.spark.python

PythonHelper

Related Doc: package python

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object PythonHelper extends Logging

Functions to execute Python-Spark code

Copyright note: code is mostly copied from org.apache.spark.deploy.PythonRunner Changes: parameter for customized entrypoint to reuse existing spark session

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  1. trait SparkEntryPoint extends AnyRef

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  7. def equals(arg0: Any): Boolean

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  8. def exec[T <: SparkEntryPoint](entryPointObj: T, pythonCode: String): Unit

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    Execute python code within a given Spark context/session.

    Execute python code within a given Spark context/session. This executes python as a subprocess and then has it connect back to the py4j-Gateway.

    entryPointObj

    py4j gateway entrypoint java object available in python code as gateway.entry_point. This is used to transfer SparkContext to python and can hold additional custom parameters. entryPointObj must at least implement trait SparkEntryPoint.

    pythonCode

    python code as string.

  9. def finalize(): Unit

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  12. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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  13. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  15. def isTraceEnabled(): Boolean

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  17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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  18. def logDebug(msg: ⇒ String): Unit

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  19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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  21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  22. def logInfo(msg: ⇒ String): Unit

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  24. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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  29. final def notify(): Unit

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  30. final def notifyAll(): Unit

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

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  32. def toString(): String

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