H2OContext

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 _conf: H2OConf

   

   H2O and Spark configuration

5. val announcementService: AnnouncementService

   

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

   

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

    Any

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

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

24. def downloadH2OLogs(destination: String): String

    

    Definition Classes

    H2OContextUtils

25. def downloadH2OLogs(destination: URI): URI

    
    destination

    directory where the logs will be downloaded

    Definition Classes

    H2OContextUtils

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

    

    Definition Classes

    AnyRef

27. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

28. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

29. def flowURL(): String

    

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

    

    Definition Classes

    AnyRef → Any

31. 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.

32. def getScheme(hc: H2OConf): String

    

    Definition Classes

    H2OContextUtils

33. def h2oLocalClient: String

    

    Returns location of REST API of H2O client

34. def h2oLocalClientIp: String

    

    Returns IP of H2O client

35. def h2oLocalClientPort: Int

    

    Returns port where H2O REST API is exposed

36. val h2oNodes: ArrayBuffer[NodeDesc]

    

    Runtime list of active H2O nodes

37. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

38. object implicits extends H2OContextImplicits with Serializable

    

    Define implicits available via h2oContext.implicits._

39. def importHiveTable(database: String = HiveTableImporter.DEFAULT_DATABASE, table: String, partitions: Array[Array[String]] = null, allowMultiFormat: Boolean = false): water.fvec.Frame

    

    Definition Classes

    H2OContextUtils

40. 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

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

    

    Attributes

    protected

    Definition Classes

    Logging

42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    

    Attributes

    protected

    Definition Classes

    Logging

43. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

44. 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

45. def isRunningOnDatabricks(): Boolean

    

    Definition Classes

    H2OContextUtils

46. 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

47. def isTraceEnabled(): Boolean

    

    Attributes

    protected

    Definition Classes

    Logging

48. def log: Logger

    

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    protected

    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

50. def logDebug(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

52. def logError(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

54. def logInfo(msg: ⇒ String): Unit

    

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    Definition Classes

    Logging

55. def logName: String

    

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    Definition Classes

    Logging

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

    

    Attributes

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    Definition Classes

    Logging

57. def logTrace(msg: ⇒ String): Unit

    

    Attributes

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    Definition Classes

    Logging

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

    

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    Definition Classes

    Logging

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

    

    Attributes

    protected

    Definition Classes

    Logging

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

    

    Definition Classes

    AnyRef

61. final def notify(): Unit

    

    Definition Classes

    AnyRef

62. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

63. def openFlow(): Unit

    

    Open H2O Flow running in this client.

64. 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

65. def setH2OClientLogLevel(level: String): Unit

    

    Set log level for the client running in driver

66. def setH2OLogLevel(level: String): Unit

    

    Set H2O log level for the client and all executors

67. def setH2ONodeLogLevel(level: String): Unit

    

    Set log level for all H2O services running on executors

68. val sparkContext: SparkContext

    

69. val sparkSession: SparkSession

    

    Spark Session

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

    

    Stops H2O context.

    Stops H2O context.

    stopSparkContext

    stop also spark context

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

    

    Definition Classes

    AnyRef

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

    

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

    

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

    

    Transforms Dataset[Supported type] to H2OFrame key

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

    

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

    

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

    

    Transform DataFrame to H2OFrame key

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

    

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

    

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

    

    Transforms RDD[Supported type] to H2OFrame key

81. def toString(): String

    

    Definition Classes

    H2OContext → AnyRef → Any

82. val uiUpdateThread: H2ORuntimeInfoUIThread

    

83. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

    AnyRef

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    @throws( ... )

86. def withConversionDebugPrints[R <: water.fvec.Frame](sc: SparkContext, conversionName: String, block: ⇒ R): R

    

    Definition Classes

    H2OContextUtils