Class/Object

jupyter.spark

JupyterSparkContext

Related Docs: object JupyterSparkContext | package spark

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class JupyterSparkContext extends SparkContext

Linear Supertypes
SparkContext, ExecutorAllocationClient, Logging, AnyRef, Any
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Inherited
  1. JupyterSparkContext
  2. SparkContext
  3. ExecutorAllocationClient
  4. Logging
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new JupyterSparkContext()(implicit interpApi: InterpAPI, runtimeApi: RuntimeAPI)

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  2. new JupyterSparkContext(config: SparkConf)(implicit interpApi: InterpAPI, runtimeApi: RuntimeAPI)

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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. def addFile(path: String, recursive: Boolean): Unit

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    Definition Classes
    SparkContext

  5. def addFile(path: String): Unit

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    Definition Classes
    SparkContext

  6. def addJar(path: String): Unit

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    Definition Classes
    SparkContext

  7. def addSparkListener(listener: SparkListenerInterface): Unit

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  8. def appName: String

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    Definition Classes
    SparkContext

  9. def applicationAttemptId: Option[String]

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    Definition Classes
    SparkContext

  10. def applicationId: String

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    Definition Classes
    SparkContext

  11. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  12. def binaryFiles(path: String, minPartitions: Int): RDD[(String, PortableDataStream)]

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    Definition Classes
    SparkContext

  13. def binaryRecords(path: String, recordLength: Int, conf: Configuration): RDD[Array[Byte]]

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    Definition Classes
    SparkContext

  14. def broadcast[T](value: T)(implicit arg0: ClassTag[T]): Broadcast[T]

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    Definition Classes
    SparkContext

  15. def cancelAllJobs(): Unit

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    Definition Classes
    SparkContext

  16. def cancelJobGroup(groupId: String): Unit

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    Definition Classes
    SparkContext

  17. def checkpointFile[T](path: String)(implicit arg0: ClassTag[T]): RDD[T]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    SparkContext

  18. def clearCallSite(): Unit

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    Definition Classes
    SparkContext

  19. def clearJobGroup(): Unit

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    Definition Classes
    SparkContext

  20. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. def collectionAccumulator[T](name: String): CollectionAccumulator[T]

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    Definition Classes
    SparkContext

  22. def collectionAccumulator[T]: CollectionAccumulator[T]

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    Definition Classes
    SparkContext

  23. def defaultMinPartitions: Int

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    Definition Classes
    SparkContext

  24. def defaultParallelism: Int

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    Definition Classes
    SparkContext

  25. def deployMode: String

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    Definition Classes
    SparkContext

  26. def doubleAccumulator(name: String): DoubleAccumulator

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    Definition Classes
    SparkContext

  27. def doubleAccumulator: DoubleAccumulator

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    Definition Classes
    SparkContext

  28. def emptyRDD[T](implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  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
    AnyRef → Any

  31. def files: Seq[String]

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    Definition Classes
    SparkContext

  32. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  33. def getAllPools: Seq[Schedulable]

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  34. def getCheckpointDir: Option[String]

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    Definition Classes
    SparkContext

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

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    Definition Classes
    AnyRef → Any

  36. def getConf: SparkConf

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    Definition Classes
    SparkContext

  37. def getExecutorMemoryStatus: Map[String, (Long, Long)]

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    Definition Classes
    SparkContext

  38. def getExecutorStorageStatus: Array[StorageStatus]

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  39. def getLocalProperty(key: String): String

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    Definition Classes
    SparkContext

  40. def getPersistentRDDs: Map[Int, RDD[_]]

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    Definition Classes
    SparkContext

  41. def getPoolForName(pool: String): Option[Schedulable]

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  42. def getRDDStorageInfo: Array[RDDInfo]

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  43. def getSchedulingMode: SchedulingMode

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    Definition Classes
    SparkContext

  44. def hadoopConfiguration: Configuration

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    Definition Classes
    SparkContext

  45. def hadoopFile[K, V, F <: InputFormat[K, V]](path: String)(implicit km: ClassTag[K], vm: ClassTag[V], fm: ClassTag[F]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  46. def hadoopFile[K, V, F <: InputFormat[K, V]](path: String, minPartitions: Int)(implicit km: ClassTag[K], vm: ClassTag[V], fm: ClassTag[F]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  47. def hadoopFile[K, V](path: String, inputFormatClass: Class[_ <: InputFormat[K, V]], keyClass: Class[K], valueClass: Class[V], minPartitions: Int): RDD[(K, V)]

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    Definition Classes
    SparkContext

  48. def hadoopRDD[K, V](conf: JobConf, inputFormatClass: Class[_ <: InputFormat[K, V]], keyClass: Class[K], valueClass: Class[V], minPartitions: Int): RDD[(K, V)]

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    Definition Classes
    SparkContext

  49. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  50. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  51. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  52. def isLocal: Boolean

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    Definition Classes
    SparkContext

  53. def isStopped: Boolean

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    Definition Classes
    SparkContext

  54. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  55. def jars: Seq[String]

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    Definition Classes
    SparkContext

  56. def killExecutor(executorId: String): Boolean

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    Definition Classes
    SparkContext → ExecutorAllocationClient
    Annotations
    @DeveloperApi()

  57. def killExecutors(executorIds: Seq[String]): Boolean

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    Definition Classes
    SparkContext → ExecutorAllocationClient
    Annotations
    @DeveloperApi()

  58. def listFiles(): Seq[String]

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    Definition Classes
    SparkContext

  59. def listJars(): Seq[String]

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    Definition Classes
    SparkContext

  60. val localProperties: InheritableThreadLocal[Properties]

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    Attributes
    protected[org.apache.spark]
    Definition Classes
    SparkContext

  61. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  63. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  65. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  67. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  68. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  70. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  73. def longAccumulator(name: String): LongAccumulator

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    Definition Classes
    SparkContext

  74. def longAccumulator: LongAccumulator

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    Definition Classes
    SparkContext

  75. def makeRDD[T](seq: Seq[(T, Seq[String])])(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  76. def makeRDD[T](seq: Seq[T], numSlices: Int)(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  77. def master: String

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    Definition Classes
    SparkContext

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

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    Definition Classes
    AnyRef

  79. def newAPIHadoopFile[K, V, F <: InputFormat[K, V]](path: String, fClass: Class[F], kClass: Class[K], vClass: Class[V], conf: Configuration): RDD[(K, V)]

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    Definition Classes
    SparkContext

  80. def newAPIHadoopFile[K, V, F <: InputFormat[K, V]](path: String)(implicit km: ClassTag[K], vm: ClassTag[V], fm: ClassTag[F]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  81. def newAPIHadoopRDD[K, V, F <: InputFormat[K, V]](conf: Configuration, fClass: Class[F], kClass: Class[K], vClass: Class[V]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  82. final def notify(): Unit

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    Definition Classes
    AnyRef

  83. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  84. def objectFile[T](path: String, minPartitions: Int)(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  85. def parallelize[T](seq: Seq[T], numSlices: Int)(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  86. def range(start: Long, end: Long, step: Long, numSlices: Int): RDD[Long]

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    Definition Classes
    SparkContext

  87. def register(acc: AccumulatorV2[_, _], name: String): Unit

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    Definition Classes
    SparkContext

  88. def register(acc: AccumulatorV2[_, _]): Unit

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    Definition Classes
    SparkContext

  89. def requestExecutors(numAdditionalExecutors: Int): Boolean

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    Definition Classes
    SparkContext → ExecutorAllocationClient
    Annotations
    @DeveloperApi()

  90. def requestTotalExecutors(numExecutors: Int, localityAwareTasks: Int, hostToLocalTaskCount: Map[String, Int]): Boolean

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    Definition Classes
    SparkContext → ExecutorAllocationClient
    Annotations
    @DeveloperApi()

  91. def runApproximateJob[T, U, R](rdd: RDD[T], func: (TaskContext, Iterator[T]) ⇒ U, evaluator: ApproximateEvaluator[U, R], timeout: Long): PartialResult[R]

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    Definition Classes
    SparkContext
    Annotations
    @DeveloperApi()

  92. def runJob[T, U](rdd: RDD[T], processPartition: (Iterator[T]) ⇒ U, resultHandler: (Int, U) ⇒ Unit)(implicit arg0: ClassTag[U]): Unit

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    Definition Classes
    SparkContext

  93. def runJob[T, U](rdd: RDD[T], processPartition: (TaskContext, Iterator[T]) ⇒ U, resultHandler: (Int, U) ⇒ Unit)(implicit arg0: ClassTag[U]): Unit

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    Definition Classes
    SparkContext

  94. def runJob[T, U](rdd: RDD[T], func: (Iterator[T]) ⇒ U)(implicit arg0: ClassTag[U]): Array[U]

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    Definition Classes
    SparkContext

  95. def runJob[T, U](rdd: RDD[T], func: (TaskContext, Iterator[T]) ⇒ U)(implicit arg0: ClassTag[U]): Array[U]

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    Definition Classes
    SparkContext

  96. def runJob[T, U](rdd: RDD[T], func: (Iterator[T]) ⇒ U, partitions: Seq[Int])(implicit arg0: ClassTag[U]): Array[U]

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    Definition Classes
    SparkContext

  97. def runJob[T, U](rdd: RDD[T], func: (TaskContext, Iterator[T]) ⇒ U, partitions: Seq[Int])(implicit arg0: ClassTag[U]): Array[U]

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    Definition Classes
    SparkContext

  98. def runJob[T, U](rdd: RDD[T], func: (TaskContext, Iterator[T]) ⇒ U, partitions: Seq[Int], resultHandler: (Int, U) ⇒ Unit)(implicit arg0: ClassTag[U]): Unit

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    Definition Classes
    SparkContext

  99. def sequenceFile[K, V](path: String, minPartitions: Int)(implicit km: ClassTag[K], vm: ClassTag[V], kcf: () ⇒ WritableConverter[K], vcf: () ⇒ WritableConverter[V]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  100. def sequenceFile[K, V](path: String, keyClass: Class[K], valueClass: Class[V]): RDD[(K, V)]

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    Definition Classes
    SparkContext

  101. def sequenceFile[K, V](path: String, keyClass: Class[K], valueClass: Class[V], minPartitions: Int): RDD[(K, V)]

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    Definition Classes
    SparkContext

  102. def setCallSite(shortCallSite: String): Unit

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    Definition Classes
    SparkContext

  103. def setCheckpointDir(directory: String): Unit

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    Definition Classes
    SparkContext

  104. def setJobDescription(value: String): Unit

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    Definition Classes
    SparkContext

  105. def setJobGroup(groupId: String, description: String, interruptOnCancel: Boolean): Unit

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    Definition Classes
    SparkContext

  106. def setLocalProperty(key: String, value: String): Unit

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    Definition Classes
    SparkContext

  107. def setLogLevel(logLevel: String): Unit

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    Definition Classes
    SparkContext

  108. val sparkUser: String

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    Definition Classes
    SparkContext

  109. val startTime: Long

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    Definition Classes
    SparkContext

  110. def statusTracker: SparkStatusTracker

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    Definition Classes
    SparkContext

  111. def stop(): Unit

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    Definition Classes
    JupyterSparkContext → SparkContext

  112. def submitJob[T, U, R](rdd: RDD[T], processPartition: (Iterator[T]) ⇒ U, partitions: Seq[Int], resultHandler: (Int, U) ⇒ Unit, resultFunc: ⇒ R): SimpleFutureAction[R]

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    Definition Classes
    SparkContext

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

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    Definition Classes
    AnyRef

  114. def textFile(path: String, minPartitions: Int): RDD[String]

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    Definition Classes
    SparkContext

  115. def toString(): String

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    Definition Classes
    AnyRef → Any

  116. def uiWebUrl: Option[String]

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    Definition Classes
    SparkContext

  117. def union[T](first: RDD[T], rest: RDD[T]*)(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  118. def union[T](rdds: Seq[RDD[T]])(implicit arg0: ClassTag[T]): RDD[T]

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    Definition Classes
    SparkContext

  119. def version: String

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    Definition Classes
    SparkContext

  120. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  123. def wholeTextFiles(path: String, minPartitions: Int): RDD[(String, String)]

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    Definition Classes
    SparkContext

Deprecated Value Members

  1. def accumulable[R, T](initialValue: R, name: String)(implicit param: AccumulableParam[R, T]): Accumulable[R, T]

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    Definition Classes
    SparkContext
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) use AccumulatorV2

  2. def accumulable[R, T](initialValue: R)(implicit param: AccumulableParam[R, T]): Accumulable[R, T]

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    Definition Classes
    SparkContext
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) use AccumulatorV2

  3. def accumulableCollection[R, T](initialValue: R)(implicit arg0: (R) ⇒ Growable[T] with TraversableOnce[T] with Serializable, arg1: ClassTag[R]): Accumulable[R, T]

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    Definition Classes
    SparkContext
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) use AccumulatorV2

  4. def accumulator[T](initialValue: T, name: String)(implicit param: AccumulatorParam[T]): Accumulator[T]

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    Definition Classes
    SparkContext
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) use AccumulatorV2

  5. def accumulator[T](initialValue: T)(implicit param: AccumulatorParam[T]): Accumulator[T]

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    Definition Classes
    SparkContext
    Annotations
    @deprecated
    Deprecated

    (Since version 2.0.0) use AccumulatorV2

Inherited from SparkContext

Inherited from ExecutorAllocationClient

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped