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org.apache.spark

SparkSessionUtils

Related Doc: package spark

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object SparkSessionUtils extends Logging

Spark session utils which can access Spark private API.

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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  6. def createSparkSession(conf: SparkConf, forceHive: Boolean = false): SparkSession

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    Initialize SparkSession with respect to environment.

    Initialize SparkSession with respect to environment. Enable Hive support if environment supports Hive.

    conf

    Spark configuration

    returns

    a new SparkSession

  7. final def eq(arg0: AnyRef): Boolean

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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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  14. final def isInstanceOf[T0]: Boolean

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  15. def isTraceEnabled(): Boolean

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  16. def log: Logger

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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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  20. def logError(msg: ⇒ String): 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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  23. def logName: String

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

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  25. def logTrace(msg: ⇒ String): Unit

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  26. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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  27. def logWarning(msg: ⇒ String): Unit

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

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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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  33. final def wait(): Unit

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

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

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