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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Inherited
  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): DataFrame

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

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. def downloadH2OLogs(destination: String): String

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    Definition Classes
    H2OContextUtils
  25. def downloadH2OLogs(destination: URI): URI

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    destination

    directory where the logs will be downloaded

    Definition Classes
    H2OContextUtils
  26. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
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  28. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  29. def flowURL(): String

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

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    Definition Classes
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  31. 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.

  32. def getScheme(hc: H2OConf): String

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    Definition Classes
    H2OContextUtils
  33. def h2oLocalClient: String

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    Returns location of REST API of H2O client

  34. def h2oLocalClientIp: String

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    Returns IP of H2O client

  35. def h2oLocalClientPort: Int

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    Returns port where H2O REST API is exposed

  36. val h2oNodes: ArrayBuffer[NodeDesc]

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    Runtime list of active H2O nodes

  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  38. object implicits extends H2OContextImplicits with Serializable

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    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

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    Definition Classes
    H2OContextUtils
  40. 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

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

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    Attributes
    protected
    Definition Classes
    Logging
  42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Definition Classes
    Any
  44. 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
  45. 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
  46. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  47. def log: Logger

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

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

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    Attributes
    protected
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    Logging
  50. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
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    Logging
  51. def logError(msg: ⇒ String): Unit

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

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

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    Attributes
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    Definition Classes
    Logging
  54. def logName: String

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

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    Definition Classes
    Logging
  56. def logTrace(msg: ⇒ String): Unit

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

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

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

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

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

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    Definition Classes
    AnyRef
  62. def openFlow(): Unit

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    Open H2O Flow running in this client.

  63. 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
  64. def setH2OClientLogLevel(level: String): Unit

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    Set log level for the client running in driver

  65. def setH2OLogLevel(level: String): Unit

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    Set H2O log level for the client and all executors

  66. def setH2ONodeLogLevel(level: String): Unit

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    Set log level for all H2O services running on executors

  67. val sparkContext: SparkContext

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  68. val sparkSession: SparkSession

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    Spark Session

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

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    Stops H2O context.

    Stops H2O context.

    stopSparkContext

    stop also spark context

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

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

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

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  73. 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

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

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

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

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    Transform DataFrame to H2OFrame key

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

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

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

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    Transforms RDD[Supported type] to H2OFrame key

  80. def toString(): String

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

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  82. final def wait(): Unit

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    @throws( ... )
  83. final def wait(arg0: Long, arg1: Int): Unit

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

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

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    Definition Classes
    H2OContextUtils

Inherited from H2OContextUtils

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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