Class/Object

org.apache.spark.h2o

H2OContext

Related Docs: object H2OContext | package h2o

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abstract class H2OContext extends Logging with H2OContextUtils

Create new H2OContext based on provided H2O configuration

Self Type
H2OContext
Linear Supertypes
H2OContextUtils, Logging, Serializable, Serializable, Logging, AnyRef, Any
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Inherited
  1. H2OContext
  2. H2OContextUtils
  3. Logging
  4. Serializable
  5. Serializable
  6. Logging
  7. AnyRef
  8. Any
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Visibility
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Abstract Value Members

  1. abstract def downloadH2OLogs(destinationDir: String, logContainer: String = "ZIP"): String

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  2. abstract def getFlowEndpoint(): String

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    Attributes
    protected
  3. abstract def getH2OBuildInfo(nodes: Array[NodeDesc]): H2OBuildInfo

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    Attributes
    protected
  4. abstract def getH2OClusterInfo(nodes: Array[NodeDesc]): H2OClusterInfo

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    protected
  5. abstract def getH2OEndpointIp(): String

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    protected
  6. abstract def getH2OEndpointPort(): Int

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    protected
  7. abstract def getH2ONodes(): Array[NodeDesc]

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  8. abstract def getSelfNodeDesc(): Option[NodeDesc]

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    protected
  9. abstract def initBackend(): Unit

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    protected
  10. abstract def setTimeZoneOfH2OCluster(timeZone: String): Unit

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    protected

Concrete 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
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  4. def asDataFrame(s: String): DataFrame

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

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

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    Convert given H2O frame into DataFrame type

  7. def asH2OFrame(fr: Frame): H2OFrame

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    Create a new H2OFrame based on existing Frame

  8. def asH2OFrame(s: String): H2OFrame

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

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

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

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  11. 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

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

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

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  14. def asH2OFrame(df: DataFrame): H2OFrame

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    Transform DataFrame to H2OFrame

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

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

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  17. def asH2OFrame(rdd: SupportedRDD): H2OFrame

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    Transforms RDD[Supported type] to H2OFrame

  18. def asH2OFrameKeyString(df: DataFrame, frameName: Option[String]): String

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  19. def asH2OFrameKeyString(df: DataFrame, frameName: String): String

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  20. def asH2OFrameKeyString(df: DataFrame): String

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    The method transforms Spark DataFrame to H2OFrame and returns String representation of its key.

    The method transforms Spark DataFrame to H2OFrame and returns String representation of its key.

    df

    Input data frame

    returns

    String representation of H2O Frame Key

  21. def asH2OFrameKeyString(rdd: SupportedRDD, frameName: Option[String]): String

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  22. def asH2OFrameKeyString(rdd: SupportedRDD, frameName: String): String

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  23. def asH2OFrameKeyString(rdd: SupportedRDD): String

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    The method transforms RDD to H2OFrame and returns String representation of its key.

    The method transforms RDD to H2OFrame and returns String representation of its key.

    rdd

    Input RDD

    returns

    String representation of H2O Frame Key

  24. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  25. 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.RDD[A] }

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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)

  26. 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.

  27. val backend: SparklingBackend

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    Used backend

    Used backend

    Attributes
    protected
  28. def clone(): AnyRef

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

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

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    Definition Classes
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  31. def finalize(): Unit

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    protected[java.lang]
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  32. def flowURL(): String

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

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    Definition Classes
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  34. 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.

  35. def getSparklingWaterHeartBeatEvent(): SparklingWaterHeartbeatEvent

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    protected
  36. def h2oLocalClient: String

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    Returns location of REST API of H2O client

  37. def h2oLocalClientIp: String

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    Returns IP of H2O client

  38. def h2oLocalClientPort: Int

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    Returns port where H2O REST API is exposed

  39. def hashCode(): Int

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

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    Define implicits available via h2oContext.implicits._

  41. 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
  42. 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

    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

    Attributes
    protected
  43. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Definition Classes
    Logging
  44. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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

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    Definition Classes
    Any
  46. 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
  47. 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
  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  49. def log: Logger

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

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

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

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

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    Definition Classes
    Logging
  54. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  55. def logInfo(msg: ⇒ String): Unit

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    Definition Classes
    Logging
  56. def logName: String

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

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

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

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    Logging
  60. def logWarning(msg: ⇒ String): Unit

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    Logging
  61. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
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  62. final def notify(): Unit

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

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    Definition Classes
    AnyRef
  64. def openFlow(): Unit

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    Open H2O Flow running in this client.

  65. 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
  66. def setH2OClientLogLevel(level: String): Unit

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    Set log level for the client running in driver

  67. def setH2OLogLevel(level: String): Unit

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    Set H2O log level for the client and all executors

  68. def setH2ONodeLogLevel(level: String): Unit

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    Set log level for all H2O services running on executors

  69. val sparkContext: SparkContext

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  70. val sparkSession: SparkSession

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

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    Stops H2O context.

    Stops H2O context.

    stopSparkContext

    stop also spark context

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

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

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

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  75. 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

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

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

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

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    Transform DataFrame to H2OFrame key

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

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

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

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    Transforms RDD[Supported type] to H2OFrame key

  82. def toString(): String

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    Definition Classes
    H2OContext → AnyRef → Any
  83. def verifyLogContainer(logContainer: String): Unit

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    protected
    Definition Classes
    H2OContextUtils
  84. final def wait(): Unit

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

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

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  87. 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 Serializable

Inherited from Serializable

Inherited from Logging

Inherited from AnyRef

Inherited from Any

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