Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark

    Core Spark functionality.

    Core Spark functionality. org.apache.spark.SparkContext serves as the main entry point to Spark, while org.apache.spark.rdd.RDD is the data type representing a distributed collection, and provides most parallel operations.

    In addition, org.apache.spark.rdd.PairRDDFunctions contains operations available only on RDDs of key-value pairs, such as groupByKey and join; org.apache.spark.rdd.DoubleRDDFunctions contains operations available only on RDDs of Doubles; and org.apache.spark.rdd.SequenceFileRDDFunctions contains operations available on RDDs that can be saved as SequenceFiles. These operations are automatically available on any RDD of the right type (e.g. RDD[(Int, Int)] through implicit conversions.

    Java programmers should reference the org.apache.spark.api.java package for Spark programming APIs in Java.

    Classes and methods marked with Experimental are user-facing features which have not been officially adopted by the Spark project. These are subject to change or removal in minor releases.

    Classes and methods marked with Developer API are intended for advanced users want to extend Spark through lower level interfaces. These are subject to changes or removal in minor releases.

    Definition Classes
    apache
  • package mllib

    RDD-based machine learning APIs (in maintenance mode).

    RDD-based machine learning APIs (in maintenance mode).

    The spark.mllib package is in maintenance mode as of the Spark 2.0.0 release to encourage migration to the DataFrame-based APIs under the org.apache.spark.ml package. While in maintenance mode,

    • no new features in the RDD-based spark.mllib package will be accepted, unless they block implementing new features in the DataFrame-based spark.ml package;
    • bug fixes in the RDD-based APIs will still be accepted.

    The developers will continue adding more features to the DataFrame-based APIs in the 2.x series to reach feature parity with the RDD-based APIs. And once we reach feature parity, this package will be deprecated.

    Definition Classes
    spark
    See also

    SPARK-4591 to track the progress of feature parity

  • package linalg
    Definition Classes
    mllib
  • package distributed
    Definition Classes
    linalg
  • BlockMatrix
  • CoordinateMatrix
  • DistributedMatrix
  • IndexedRow
  • IndexedRowMatrix
  • MatrixEntry
  • RowMatrix

class CoordinateMatrix extends DistributedMatrix

Represents a matrix in coordinate format.

Annotations
@Since( "1.0.0" )
Linear Supertypes
DistributedMatrix, Serializable, Serializable, AnyRef, Any
Ordering
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  2. By Inheritance
Inherited
  1. CoordinateMatrix
  2. DistributedMatrix
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CoordinateMatrix(entries: RDD[MatrixEntry])

    Alternative constructor leaving matrix dimensions to be determined automatically.

    Alternative constructor leaving matrix dimensions to be determined automatically.

    Annotations
    @Since( "1.0.0" )
  2. new CoordinateMatrix(entries: RDD[MatrixEntry], nRows: Long, nCols: Long)

    entries

    matrix entries

    nRows

    number of rows. A non-positive value means unknown, and then the number of rows will be determined by the max row index plus one.

    nCols

    number of columns. A non-positive value means unknown, and then the number of columns will be determined by the max column index plus one.

    Annotations
    @Since( "1.0.0" )

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  6. val entries: RDD[MatrixEntry]
    Annotations
    @Since( "1.0.0" )
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. def numCols(): Long

    Gets or computes the number of columns.

    Gets or computes the number of columns.

    Definition Classes
    CoordinateMatrix → DistributedMatrix
    Annotations
    @Since( "1.0.0" )
  17. def numRows(): Long

    Gets or computes the number of rows.

    Gets or computes the number of rows.

    Definition Classes
    CoordinateMatrix → DistributedMatrix
    Annotations
    @Since( "1.0.0" )
  18. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  19. def toBlockMatrix(rowsPerBlock: Int, colsPerBlock: Int): BlockMatrix

    Converts to BlockMatrix.

    Converts to BlockMatrix. Creates blocks of SparseMatrix.

    rowsPerBlock

    The number of rows of each block. The blocks at the bottom edge may have a smaller value. Must be an integer value greater than 0.

    colsPerBlock

    The number of columns of each block. The blocks at the right edge may have a smaller value. Must be an integer value greater than 0.

    returns

    a BlockMatrix

    Annotations
    @Since( "1.3.0" )
  20. def toBlockMatrix(): BlockMatrix

    Converts to BlockMatrix.

    Converts to BlockMatrix. Creates blocks of SparseMatrix with size 1024 x 1024.

    Annotations
    @Since( "1.3.0" )
  21. def toIndexedRowMatrix(): IndexedRowMatrix

    Converts to IndexedRowMatrix.

    Converts to IndexedRowMatrix. The number of columns must be within the integer range.

    Annotations
    @Since( "1.0.0" )
  22. def toRowMatrix(): RowMatrix

    Converts to RowMatrix, dropping row indices after grouping by row index.

    Converts to RowMatrix, dropping row indices after grouping by row index. The number of columns must be within the integer range.

    Annotations
    @Since( "1.0.0" )
  23. def toString(): String
    Definition Classes
    AnyRef → Any
  24. def transpose(): CoordinateMatrix

    Transposes this CoordinateMatrix.

    Transposes this CoordinateMatrix.

    Annotations
    @Since( "1.3.0" )
  25. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Inherited from DistributedMatrix

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped