Class

com.intersys.spark

SparkContextEx

Related Doc: package spark

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implicit class SparkContextEx extends AnyRef

Extends the given context with IRIS specific methods.

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Instance Constructors

  1. new SparkContextEx(sc: SparkContext)

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    sc

    The active Spark context.

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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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. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def rdd[α](text: String, column: String, lo: Long, hi: Long, partitions: , format: Format[α])(implicit arg0: ClassTag[α]): RDD[α]

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    Executes a query on the default cluster to yield a suitably partitioned RDD whose elements are formatted by applying the given function to each row of the resulting JDBC result set.

    Executes a query on the default cluster to yield a suitably partitioned RDD whose elements are formatted by applying the given function to each row of the resulting JDBC result set.

    text

    The text of a query to be executed on the cluster or the name of an existing table in the cluster to load.

    column

    The name of the integral valued column in the result set with which to further partition the query.

    lo

    The lower bound of the partitioning column.

    hi

    The upper bound of the partitioning column.

    partitions

    The number of partitions per instance to create.

    format

    Formats an element from a single row of a result set.

    returns

    The results of the query in the form of a suitably partitioned RDD.

    Exceptions thrown

    SQLException if a database access error occurs.

    See also

    JDBC to Other Databases for more on the semantics of the column, lo, hi, and partitions parameters.

  16. def rdd[α](text: String, mfpi: , format: Format[α])(implicit arg0: ClassTag[α]): RDD[α]

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    Executes a query on the default cluster to yield a suitably partitioned RDD whose elements are formatted by applying the given function to each row of the resulting JDBC result set.

    Executes a query on the default cluster to yield a suitably partitioned RDD whose elements are formatted by applying the given function to each row of the resulting JDBC result set.

    text

    The text of a query to be executed on the cluster or the name of an existing table in the cluster to load.

    mfpi

    The maximum number of factors per distinct instance to include in the factorization implicitly performed by the server, or 0 if no limit is necessary.

    format

    Formats an element from a single row of a result set.

    returns

    The results of the query in the form of a suitably partitioned RDD.

    Exceptions thrown

    SQLException if a database access error occurs.

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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