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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  final def eq(arg0: AnyRef): Boolean

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7.  def equals(arg0: Any): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_]

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10.  def hashCode(): Int

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11.  def hbaseBulkDelete(hc: HBaseContext, tableName: TableName, f: (T) ⇒ Delete, batchSize: Int): Unit

    Implicit method that gives easy access to HBaseContext's bulk Delete.

    Implicit method that gives easy access to HBaseContext's bulk Delete. This will not return a new RDD.

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    tableName

    The tableName that the deletes will be sent to

    f

    The function that will convert the RDD value into a HBase Delete Object

    batchSize

    The number of Deletes to be sent in a single batch

12.  def hbaseBulkGet(hc: HBaseContext, tableName: TableName, batchSize: Int, f: (T) ⇒ Get): RDD[(ImmutableBytesWritable, Result)]

    Implicit method that gives easy access to HBaseContext's bulk get.

    Implicit method that gives easy access to HBaseContext's bulk get. This will return a new RDD. Think about it as a RDD map function. In that every RDD value will get a new value out of HBase. That new value will populate the newly generated RDD.

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    tableName

    The tableName that the put will be sent to

    batchSize

    How many gets to execute in a single batch

    f

    The function that will turn the RDD values in HBase Get objects

    returns

    A resulting RDD with type R objects

13.  def hbaseBulkGet[R](hc: HBaseContext, tableName: TableName, batchSize: Int, f: (T) ⇒ Get, convertResult: (Result) ⇒ R)(implicit arg0: ClassTag[R]): RDD[R]

    Implicit method that gives easy access to HBaseContext's bulk get.

    Implicit method that gives easy access to HBaseContext's bulk get. This will return a new RDD. Think about it as a RDD map function. In that every RDD value will get a new value out of HBase. That new value will populate the newly generated RDD.

    R

    The type of Object that will be coming out of the resulting RDD

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    tableName

    The tableName that the put will be sent to

    batchSize

    How many gets to execute in a single batch

    f

    The function that will turn the RDD values in HBase Get objects

    convertResult

    The function that will convert a HBase Result object into a value that will go into the resulting RDD

    returns

    A resulting RDD with type R objects

14.  def hbaseBulkPut(hc: HBaseContext, tableName: TableName, f: (T) ⇒ Put): Unit

    Implicit method that gives easy access to HBaseContext's bulk put.

    Implicit method that gives easy access to HBaseContext's bulk put. This will not return a new RDD. Think of it like a foreach

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    tableName

    The tableName that the put will be sent to

    f

    The function that will turn the RDD values into HBase Put objects.

15.  def hbaseForeachPartition(hc: HBaseContext, f: (Iterator[T], Connection) ⇒ Unit): Unit

    Implicit method that gives easy access to HBaseContext's foreachPartition method.

    Implicit method that gives easy access to HBaseContext's foreachPartition method. This will ack very much like a normal RDD foreach method but for the fact that you will now have a HBase connection while iterating through the values.

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    f

    This function will get an iterator for a Partition of an RDD along with a connection object to HBase

16.  def hbaseMapPartitions[R](hc: HBaseContext, f: (Iterator[T], Connection) ⇒ Iterator[R])(implicit arg0: ClassTag[R]): RDD[R]

    Implicit method that gives easy access to HBaseContext's mapPartitions method.

    Implicit method that gives easy access to HBaseContext's mapPartitions method. This will ask very much like a normal RDD map partitions method but for the fact that you will now have a HBase connection while iterating through the values

    R

    This is the type of objects that will go into the resulting RDD

    hc

    The hbaseContext object to identify which HBase cluster connection to use

    f

    This function will get an iterator for a Partition of an RDD along with a connection object to HBase

    returns

    A resulting RDD of type R

17.  final def isInstanceOf[T0]: Boolean

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18.  final def ne(arg0: AnyRef): Boolean

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19.  final def notify(): Unit

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20.  final def notifyAll(): Unit

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21.  val rdd: RDD[T]
22.  final def synchronized[T0](arg0: ⇒ T0): T0

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23.  def toString(): String

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24.  final def wait(): Unit

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

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26.  final def wait(arg0: Long): Unit

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