Class/Object

org.apache.spark.h2o

H2OContext

Related Docs: object H2OContext | package h2o

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class H2OContext extends Logging with H2OContextUtils

Create new H2OContext based on provided H2O configuration

Self Type
H2OContext
Linear Supertypes
H2OContextUtils, Logging, AnyRef, Any
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  1. H2OContext
  2. H2OContextUtils
  3. Logging
  4. AnyRef
  5. Any
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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. val _conf: H2OConf

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    H2O and Spark configuration

  5. val announcementService: AnnouncementService

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

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

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    Convert given H2O frame into DataFrame type

  8. def asH2OFrame(fr: Frame): H2OFrame

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    Create a new H2OFrame based on existing Frame

  9. def asH2OFrame(s: String): H2OFrame

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    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

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

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

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    Transforms Dataset[Supported type] to H2OFrame

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

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

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  15. def asH2OFrame(df: DataFrame): H2OFrame

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    Transform DataFrame to H2OFrame

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

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

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  18. def asH2OFrame(rdd: SupportedRDD): H2OFrame

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    Transforms RDD[Supported type] to H2OFrame

  19. final def asInstanceOf[T0]: T0

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    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] }

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    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]

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    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

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    Used backend

  23. def buildSparkMajorVersion: String

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    Returns Major Spark version for which is this version of Sparkling Water designated.

    Returns Major Spark version for which is this version of Sparkling Water designated.

    For example, for 1.6.1 returns 1.6

    Definition Classes
    H2OContextUtils
  24. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  26. def equals(arg0: Any): Boolean

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    Definition Classes
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  27. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  28. final def getClass(): Class[_]

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    Definition Classes
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  29. def getConf: H2OConf

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    Return a copy of this H2OContext's configuration.

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

  30. def h2oLocalClient: String

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    Returns location of REST API of H2O client

  31. def h2oLocalClientIp: String

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    Returns IP of H2O client

  32. def h2oLocalClientPort: Int

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    Returns port where H2O REST API is exposed

  33. def hashCode(): Int

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    Definition Classes
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  34. object implicits extends H2OContextImplicits with Serializable

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    Define implicits available via h2oContext.implicits._

  35. def init(): H2OContext

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    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

  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  38. def isRunningOnCorrectSpark(sc: SparkContext): Boolean

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    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
  39. def isTesting(sc: SparkContext): Boolean

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    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
  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  42. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
    Definition Classes
    Logging
  43. def logDebug(msg: ⇒ String): Unit

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

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    Logging
  45. def logError(msg: ⇒ String): Unit

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

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  50. def logTrace(msg: ⇒ String): Unit

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

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    Definition Classes
    Logging
  52. def logWarning(msg: ⇒ String): Unit

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    protected
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    Logging
  53. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  54. final def notify(): Unit

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    Definition Classes
    AnyRef
  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  56. def openFlow(): Unit

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    Open H2O Flow running in this client.

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

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    Open browser for given address.

    Open browser for given address.

    uri

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

    Definition Classes
    H2OContextUtils
  58. def setH2OClientLogLevel(level: String): Unit

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    Set log level for the client running in driver

  59. def setH2OLogLevel(level: String): Unit

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    Set H2O log level for the client and all executors

  60. def setH2ONodeLogLevel(level: String): Unit

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    Set log level for all H2O services running on executors

  61. val sparkContext: SparkContext

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  62. val sparkSession: SparkSession

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    Spark Session

  63. val sparklingWaterListener: SparklingWaterListener

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

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    Stops H2O context.

    Stops H2O context.

    stopSparkContext

    stop also spark context

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

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

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

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

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    Transforms Dataset[Supported type] to H2OFrame key

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

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

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

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    Transform DataFrame to H2OFrame key

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

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

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

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    Transforms RDD[Supported type] to H2OFrame key

  75. def toString(): String

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    Open Spark task manager.

    Open Spark task manager.

    Definition Classes
    H2OContext → AnyRef → Any
  76. val uiUpdateThread: H2ORuntimeInfoUIThread

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  77. final def wait(): Unit

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

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    @throws( ... )
  79. final def wait(arg0: Long): Unit

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Inherited from H2OContextUtils

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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