c

org.apache.hadoop.hbase.spark

HBaseContext

class HBaseContext extends Serializable with Logging

HBaseContext is a façade for HBase operations like bulk put, get, increment, delete, and scan

HBaseContext will take the responsibilities of disseminating the configuration information to the working and managing the life cycle of Connections.

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@Public()
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  1. HBaseContext
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Instance Constructors

  1. new HBaseContext(sc: SparkContext, config: Configuration, tmpHdfsConfgFile: String = null)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. var appliedCredentials: Boolean
  5. def applyCreds[T](): Unit
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. val broadcastedConf: Broadcast[SerializableWritable[Configuration]]
  8. def bulkDelete[T](rdd: RDD[T], tableName: TableName, f: (T) ⇒ Delete, batchSize: Integer): Unit

    A simple abstraction over the HBaseContext.foreachPartition method.

    A simple abstraction over the HBaseContext.foreachPartition method.

    It allow addition support for a user to take a RDD and generate delete and send them to HBase. The complexity of managing the Connection is removed from the developer

    rdd

    Original RDD with data to iterate over

    tableName

    The name of the table to delete from

    f

    Function to convert a value in the RDD to a HBase Deletes

    batchSize

    The number of delete to batch before sending to HBase

  9. def bulkGet[T, U](tableName: TableName, batchSize: Integer, rdd: RDD[T], makeGet: (T) ⇒ Get, convertResult: (Result) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

    A simple abstraction over the HBaseContext.mapPartition method.

    A simple abstraction over the HBaseContext.mapPartition method.

    It allow addition support for a user to take a RDD and generates a new RDD based on Gets and the results they bring back from HBase

    tableName

    The name of the table to get from

    rdd

    Original RDD with data to iterate over

    makeGet

    function to convert a value in the RDD to a HBase Get

    convertResult

    This will convert the HBase Result object to what ever the user wants to put in the resulting RDD return new RDD that is created by the Get to HBase

  10. def bulkPut[T](rdd: RDD[T], tableName: TableName, f: (T) ⇒ Put): Unit

    A simple abstraction over the HBaseContext.foreachPartition method.

    A simple abstraction over the HBaseContext.foreachPartition method.

    It allow addition support for a user to take RDD and generate puts and send them to HBase. The complexity of managing the Connection is removed from the developer

    rdd

    Original RDD with data to iterate over

    tableName

    The name of the table to put into

    f

    Function to convert a value in the RDD to a HBase Put

  11. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
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    Annotations
    @throws( ... ) @native()
  12. def close(): Unit
  13. val config: Configuration
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
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  16. def finalize(): Unit
    Attributes
    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  17. def foreachPartition[T](rdd: RDD[T], f: (Iterator[T], Connection) ⇒ Unit): Unit

    A simple enrichment of the traditional Spark RDD foreachPartition.

    A simple enrichment of the traditional Spark RDD foreachPartition. This function differs from the original in that it offers the developer access to a already connected Connection object

    Note: Do not close the Connection object. All Connection management is handled outside this method

    rdd

    Original RDD with data to iterate over

    f

    Function to be given a iterator to iterate through the RDD values and a Connection object to interact with HBase

  18. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  19. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def hbaseMapPartition[K, U](configBroadcast: Broadcast[SerializableWritable[Configuration]], it: Iterator[K], mp: (Iterator[K], Connection) ⇒ Iterator[U]): Iterator[U]

    underlining wrapper all mapPartition functions in HBaseContext

  21. def hbaseRDD(tableName: TableName, scans: Scan): RDD[(ImmutableBytesWritable, Result)]

    A overloaded version of HBaseContext hbaseRDD that defines the type of the resulting RDD

    A overloaded version of HBaseContext hbaseRDD that defines the type of the resulting RDD

    tableName

    the name of the table to scan

    scans

    the HBase scan object to use to read data from HBase

    returns

    New RDD with results from scan

  22. def hbaseRDD[U](tableName: TableName, scan: Scan, f: ((ImmutableBytesWritable, Result)) ⇒ U)(implicit arg0: ClassTag[U]): RDD[U]

    This function will use the native HBase TableInputFormat with the given scan object to generate a new RDD

    This function will use the native HBase TableInputFormat with the given scan object to generate a new RDD

    tableName

    the name of the table to scan

    scan

    the HBase scan object to use to read data from HBase

    f

    function to convert a Result object from HBase into what the user wants in the final generated RDD

    returns

    new RDD with results from scan

  23. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  24. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  25. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  26. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  27. val job: Job
  28. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  29. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  30. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  32. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  33. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  34. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  36. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def mapPartitions[T, R](rdd: RDD[T], mp: (Iterator[T], Connection) ⇒ Iterator[R])(implicit arg0: ClassTag[R]): RDD[R]

    A simple enrichment of the traditional Spark RDD mapPartition.

    A simple enrichment of the traditional Spark RDD mapPartition. This function differs from the original in that it offers the developer access to a already connected Connection object

    Note: Do not close the Connection object. All Connection management is handled outside this method

    rdd

    Original RDD with data to iterate over

    mp

    Function to be given a iterator to iterate through the RDD values and a Connection object to interact with HBase

    returns

    Returns a new RDD generated by the user definition function just like normal mapPartition

  41. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  42. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  43. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  44. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  45. val tmpHdfsConfgFile: String
  46. var tmpHdfsConfiguration: Configuration
  47. def toString(): String
    Definition Classes
    AnyRef → Any
  48. final def wait(): Unit
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    @throws( ... )
  49. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  50. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()

Inherited from Logging

Inherited from Serializable

Inherited from AnyRef

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