H2OContext

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. val _conf: H2OConf

   

   H2O and Spark configuration

5. val announcementService: AnnouncementService

   

6. def asDataFrame(s: String, copyMetadata: Boolean)(implicit sqlContext: SQLContext): DataFrame

   

7. def asDataFrame[T <: Frame](fr: T, copyMetadata: Boolean = true)(implicit sqlContext: SQLContext): DataFrame

   

   Convert given H2O frame into DataFrame type

8. def asH2OFrame(fr: Frame): H2OFrame

   

   Create a new H2OFrame based on existing Frame

9. def asH2OFrame(s: String): H2OFrame

   

   Create a new H2OFrame based on existing Frame referenced by its key.

10. def asH2OFrame[T <: Product](ds: Dataset[T], frameName: String)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): H2OFrame

    

11. def asH2OFrame[T <: Product](ds: Dataset[T], frameName: Option[String])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): H2OFrame

    

12. def asH2OFrame[T <: Product](ds: Dataset[T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): H2OFrame

    

    Transforms Dataset[Supported type] to H2OFrame

13. def asH2OFrame(df: DataFrame, frameName: String): H2OFrame

    

14. def asH2OFrame(df: DataFrame, frameName: Option[String]): H2OFrame

    

15. def asH2OFrame(df: DataFrame): H2OFrame

    

    Transform DataFrame to H2OFrame

16. def asH2OFrame(rdd: SupportedRDD, frameName: String): H2OFrame

    

17. def asH2OFrame(rdd: SupportedRDD, frameName: Option[String]): H2OFrame

    

18. def asH2OFrame(rdd: SupportedRDD): H2OFrame

    

    Transforms RDD[Supported type] to H2OFrame

19. final def asInstanceOf[T0]: T0

    

    Definition Classes

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20. def asRDD[A <: Product](implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A], arg1: ClassTag[A]): AnyRef { def apply[T <: org.apache.spark.h2o.Frame](fr: T): org.apache.spark.h2o.converters.H2ORDD[A,T] }

    

    A generic convert of Frame into Product RDD type

    A generic convert of Frame into Product RDD type

    Consider using asH2OFrame since asRDD has several limitations such as that asRDD can't be used in Spark REPL in case we are RDD[T] where T is class defined in REPL. This is because class T is created as inner class and we are not able to create instance of class T without outer scope - which is impossible to get.

    This code: hc.asRDD[PUBDEV458Type](rdd) will need to be call as hc.asRDD[PUBDEV458Type].apply(rdd)

21. def asRDD[A <: Product](fr: H2OFrame)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[A], arg1: ClassTag[A]): RDD[A]

    

    Convert given H2O frame into a Product RDD type

    Convert given H2O frame into a Product RDD type

    Consider using asH2OFrame since asRDD has several limitations such as that asRDD can't be used in Spark REPL in case we are RDD[T] where T is class defined in REPL. This is because class T is created as inner class and we are not able to create instance of class T without outer scope - which is impossible to get.

22. val backend: SparklingBackend

    

    Used backend

23. def clone(): AnyRef

    

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

    

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25. def equals(arg0: Any): Boolean

    

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26. def finalize(): Unit

    

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    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

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28. def getConf: H2OConf

    

    Return a copy of this H2OContext's configuration.

    Return a copy of this H2OContext's configuration. The configuration cannot be changed at runtime.

29. def h2oLocalClient: String

    

    Returns location of REST API of H2O client

30. def h2oLocalClientIp: String

    

    Returns IP of H2O client

31. def h2oLocalClientPort: Int

    

    Returns port where H2O REST API is exposed

32. def hashCode(): Int

    

    Definition Classes

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33. object implicits extends H2OContextImplicits with Serializable

    

    Define implicits available via h2oContext.implicits._

34. def init(): H2OContext

    

    This method connects to external H2O cluster if spark.ext.h2o.externalClusterMode is set to true, otherwise it creates new H2O cluster living in Spark

35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

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    Logging

36. final def isInstanceOf[T0]: Boolean

    

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37. def isRunningOnCorrectSpark(sc: SparkContext): Boolean

    

    Checks whether version of provided Spark is the same as Spark's version designated for this Sparkling Water version.

    Checks whether version of provided Spark is the same as Spark's version designated for this Sparkling Water version. We check for correct version in shell scripts and during the build but we need to do the check also in the code in cases when the user executes for example spark-shell command with sparkling water assembly jar passed as --jars and initiates H2OContext. (Because in that case no check for correct Spark version has been done so far.)

    Definition Classes

    H2OContextUtils

38. def isTesting(sc: SparkContext): Boolean

    

    Return true if running inside spark/sparkling water test.

    Return true if running inside spark/sparkling water test.

    sc

    Spark Context

    returns

    true if the actual run is test run

    Definition Classes

    H2OContextUtils

39. def isTraceEnabled(): Boolean

    

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40. def log: Logger

    

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

    

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42. def logDebug(msg: ⇒ String): Unit

    

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

    

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44. def logError(msg: ⇒ String): Unit

    

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

    

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46. def logInfo(msg: ⇒ String): Unit

    

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47. def logName: String

    

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

    

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49. def logTrace(msg: ⇒ String): Unit

    

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

    

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

    

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

    

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53. final def notify(): Unit

    

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54. final def notifyAll(): Unit

    

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55. def openFlow(): Unit

    

    Open H2O Flow running in this client.

56. def openURI(sc: SparkContext, uri: String): Unit

    

    Open browser for given address.

    Open browser for given address.

    uri

    address to open in browser, e.g., http://example.com

    Definition Classes

    H2OContextUtils

57. def setH2OClientLogLevel(level: String): Unit

    

    Set log level for the client running in driver

58. def setH2OLogLevel(level: String): Unit

    

    Set H2O log level for the client and all executors

59. def setH2ONodeLogLevel(level: String): Unit

    

    Set log level for all H2O services running on executors

60. val sparkContext: SparkContext

    

61. val sparkSession: SparkSession

    

    Spark Session

62. val sparklingWaterListener: SparklingWaterListener

    

63. def stop(stopSparkContext: Boolean = false): Unit

    

    Stops H2O context.

    Stops H2O context.

    stopSparkContext

    stop also spark context

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

    

    Definition Classes

    AnyRef

65. def toH2OFrameKey[T <: Product](ds: Dataset[T], frameName: String)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Key[Frame]

    

66. def toH2OFrameKey[T <: Product](ds: Dataset[T], frameName: Option[String])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Key[Frame]

    

67. def toH2OFrameKey[T <: Product](ds: Dataset[T])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T]): Key[Frame]

    

    Transforms Dataset[Supported type] to H2OFrame key

68. def toH2OFrameKey(df: DataFrame, frameName: String): Key[Frame]

    

69. def toH2OFrameKey(df: DataFrame, frameName: Option[String]): Key[Frame]

    

70. def toH2OFrameKey(df: DataFrame): Key[Frame]

    

    Transform DataFrame to H2OFrame key

71. def toH2OFrameKey(rdd: SupportedRDD, frameName: String): Key[_]

    

72. def toH2OFrameKey(rdd: SupportedRDD, frameName: Option[String]): Key[_]

    

73. def toH2OFrameKey(rdd: SupportedRDD): Key[_]

    

    Transforms RDD[Supported type] to H2OFrame key

74. def toString(): String

    

    Open Spark task manager.

    Open Spark task manager.

    Definition Classes

    H2OContext → AnyRef → Any

75. val uiUpdateThread: H2ORuntimeInfoUIThread

    

76. final def wait(): Unit

    

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

    

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

    

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