Packages

case class MM_Relation(name: String, colName: Seq[String], col: Vector[Vec], key: Int = 0, domain: String = null) extends Table with Error with Product with Serializable

The MM_Relation class stores and operates on vectors. The vectors form the columns of the columnar relational datastore. Columns may have any of the following types:

C - Complex - VectorC - 128 bit complex number a + bi D - Double - VectorD - 64 bit double precision floating point number I - Int - VectorI - 32 bit integer L - Long - VectorL - 64 bit long integer Q - Rational - VectorQ - 128 bit ratio of two long integers R - Real - VectorR - 128 bit quad precision floating point number S - StrNum - VectorS - variable length numeric string

name

the name of the relation

colName

the names of columns

col

the Scala Vector of columns making up the columnar relation

key

the column number for the primary key (< 0 => no primary key)

domain

an optional string indicating domains for columns (e.g., 'SD' = StrNum, Double)

Linear Supertypes
Serializable, Serializable, Product, Equals, Error, Table, AnyRef, Any
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  1. MM_Relation
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Instance Constructors

  1. new MM_Relation(name: String, colName: Seq[String], col: Vector[Vec], key: Int = 0, domain: String = null)

    name

    the name of the relation

    colName

    the names of columns

    col

    the Scala Vector of columns making up the columnar relation

    key

    the column number for the primary key (< 0 => no primary key)

    domain

    an optional string indicating domains for columns (e.g., 'SD' = StrNum, Double)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def -(_r2: Table): MM_Relation

    Take the difference of 'this' relation and 'r2' ('this - r2').

    Take the difference of 'this' relation and 'r2' ('this - r2'). Check that the two relations are compatible.

    Definition Classes
    MM_Relation → Table
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def ><(_r2: Table): MM_Relation

    Join 'this' relation and 'r2 by performing a "natural-join".

    Join 'this' relation and 'r2 by performing a "natural-join". Rows from both relations are compared requiring agreement on common attributes (column names).

    Definition Classes
    MM_Relation → Table
  6. def add(tuple: Row): Unit

    Add 'tuple to 'this' relation as a new row.

    Add 'tuple to 'this' relation as a new row. FIX: want an efficient, covariant, mutable data structure, but Array is invariant.

    tuple

    an aggregation of columns values (new row)

    Definition Classes
    MM_Relation → Table
  7. def add_2(tuple: Row): Unit

    Add 'tuple' to 'this' relation as a new row.

    Add 'tuple' to 'this' relation as a new row. Type is determined by sampling values for columns

    tuple

    an aggregation of columns values (new row)

  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  10. var col: Vector[Vec]
  11. val colName: Seq[String]
  12. def cols: Int

    Return the size in terms of number of columns in the relation.

    Return the size in terms of number of columns in the relation.

    Definition Classes
    MM_Relation → Table
  13. def contains(tuple: Row): Boolean

    Determine whether 'this' relation contains a row matching the given 'tuple'.

    Determine whether 'this' relation contains a row matching the given 'tuple'.

    tuple

    an aggregation of columns values (potential row)

    Definition Classes
    MM_Relation → Table
  14. def disambiguate(cn1: Seq[String], cn2: Seq[String]): Seq[String]

    Combine two sequences of column names and disambiguate any repeated names by appending "2".

    Combine two sequences of column names and disambiguate any repeated names by appending "2".

    cn1

    the first sequence of column names

    cn2

    the second sequence of column names

    Definition Classes
    Table
  15. val domain: String
  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  20. def incompatible(_r2: Table): Boolean

    Determine whether 'this' relation and 'r2' are incompatible by having differing numbers of columns or differing domain strings.

    Determine whether 'this' relation and 'r2' are incompatible by having differing numbers of columns or differing domain strings.

    Definition Classes
    MM_Relation → Table
  21. def indices: Range

    Return the range of index values for the relation.

    Return the range of index values for the relation.

    Definition Classes
    Table
  22. def intersect(_r2: Table): MM_Relation

    Intersect 'this' relation and 'r2'.

    Intersect 'this' relation and 'r2'. Check that the two relations are compatible.

    Definition Classes
    MM_Relation → Table
  23. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  24. def join(cName: Seq[String], _r2: Table): MM_Relation

    Join 'this' relation and 'r2 by performing a "natural-join".

    Join 'this' relation and 'r2 by performing a "natural-join". Rows from both relations are compared requiring 'cName' values to be equal.

    cName

    the common join column names for both relation

    Definition Classes
    MM_Relation → Table
  25. def join(cName1: String, cName2: String, r2: Table): MM_Relation

    Join 'this' relation and 'r2 by performing an "equi-join".

    Join 'this' relation and 'r2 by performing an "equi-join". Rows from both relations are compared requiring 'cName1' values to equal 'cName2' values. Disambiguate column names by appending "2" to the end of any duplicate column name.

    cName1

    the string of join column names of this relation (e.g., the Foreign Key)

    cName2

    the string of join column names of relation r2 (e.g., the Primary Key)

    r2

    the rhs relation in the join operation

    Definition Classes
    MM_Relation → Table
  26. def join(cName1: Seq[String], cName2: Seq[String], _r2: Table): MM_Relation

    Join 'this' relation and 'r2 by performing an "equi-join".

    Join 'this' relation and 'r2 by performing an "equi-join". Rows from both relations are compared requiring 'cName1' values to equal 'cName2' values. Disambiguate column names by appending "2" to the end of any duplicate column name.

    cName1

    the join column names of this relation (e.g., the Foreign Key)

    cName2

    the join column names of relation r2 (e.g., the Primary Key)

    Definition Classes
    MM_Relation → Table
  27. val key: Int
  28. val name: String
  29. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  31. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  32. def pi(cPos: Seq[Int], cName: Seq[String] = null): MM_Relation

    Project onto the columns with the given column positions.

    Project onto the columns with the given column positions.

    cPos

    the column positions to project onto

    cName

    the optional new names for the columns to project onto

    Definition Classes
    MM_Relation → Table
  33. def pi(cName: String*): MM_Relation

    Project onto the columns with the given column names.

    Project onto the columns with the given column names.

    cName

    the names of the columns to project onto

    Definition Classes
    MM_Relation → Table
  34. def pisigmaC(cName: String, p: (Complex) ⇒ Boolean): MM_Relation

    Select elements from column 'cName' in 'this' relation that satisfy the predicate 'p' and project onto that column.

    Select elements from column 'cName' in 'this' relation that satisfy the predicate 'p' and project onto that column.

    cName

    the name of the column used for selection

    p

    the predicate (Boolean function) to be satisfied

    Definition Classes
    MM_Relation → Table
  35. def pisigmaD(cName: String, p: (Double) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  36. def pisigmaI(cName: String, p: (Int) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  37. def pisigmaL(cName: String, p: (Long) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  38. def pisigmaQ(cName: String, p: (Rational) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  39. def pisigmaR(cName: String, p: (Real) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  40. def pisigmaS(cName: String, p: (StrNum) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  41. def row(i: Int): Row

    Create a row by pulling values from all columns at position 'i'.

    Create a row by pulling values from all columns at position 'i'.

    i

    the 'i'th position

    Definition Classes
    MM_Relation → Table
  42. def row(sos: Seq[String], _typ: String): Row

    Create a row by pulling values from an array of strings and converting elements to their appropriate types.

    Create a row by pulling values from an array of strings and converting elements to their appropriate types.

    sos

    the sequence of strings holding the values

    _typ

    the string of corresponding types, e.g., 'SDI'

    Definition Classes
    Table
  43. def rows: Int

    Return the size in terms of number of rows in the relation.

    Return the size in terms of number of rows in the relation.

    Definition Classes
    MM_Relation → Table
  44. def save(): Unit

    Save 'this' relation in a file using serialization.

    Save 'this' relation in a file using serialization.

    Definition Classes
    MM_Relation → Table
  45. def selectAt(pos: Seq[Int]): MM_Relation

    Select across all columns at the specified column positions.

    Select across all columns at the specified column positions.

    pos

    the specified column positions

    Definition Classes
    MM_Relation → Table
  46. def selectC(cName: String, p: (Complex) ⇒ Boolean): Seq[Int]

    Select the positions of elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    Select the positions of elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    cName

    the name of the column used for selection

    p

    the predicate (Boolean function) to be satisfied

    Definition Classes
    MM_Relation → Table
  47. def selectD(cName: String, p: (Double) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  48. def selectI(cName: String, p: (Int) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  49. def selectL(cName: String, p: (Long) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  50. def selectQ(cName: String, p: (Rational) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  51. def selectR(cName: String, p: (Real) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  52. def selectS(cName: String, p: (StrNum) ⇒ Boolean): Seq[Int]
    Definition Classes
    MM_Relation → Table
  53. def show(): Unit

    Show 'this' relation row by row.

    Show 'this' relation row by row.

    Definition Classes
    MM_Relation → Table
  54. def sigma[T](cName: String, p: (T) ⇒ Boolean): MM_Relation

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    cName

    the name of the column used for selection

    p

    the predicate (Boolean function) to be satisfied

    Definition Classes
    MM_Relation → Table
  55. def sigmaC(cName: String, p: (Complex) ⇒ Boolean): MM_Relation

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    cName

    the name of the column used for selection

    p

    the predicate (Boolean function) to be satisfied

    Definition Classes
    MM_Relation → Table
  56. def sigmaD(cName: String, p: (Double) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  57. def sigmaI(cName: String, p: (Int) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  58. def sigmaL(cName: String, p: (Long) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  59. def sigmaQ(cName: String, p: (Rational) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  60. def sigmaR(cName: String, p: (Real) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  61. def sigmaS(cName: String, p: (StrNum) ⇒ Boolean): MM_Relation
    Definition Classes
    MM_Relation → Table
  62. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  63. def toMatriD(colPos: Seq[Int], kind: MatrixKind = DENSE): MatriD

    Convert 'this' relation into a matrix of doubles, e.g.,

    Convert 'this' relation into a matrix of doubles, e.g.,

    in the regression equation: 'xb = y' create matrix 'xy'

    colPos

    the column positions to use for the matrix

    kind

    the kind of matrix to create

  64. def toMatriDD(colPos: Seq[Int], colPosV: Int, kind: MatrixKind = DENSE): (MatriD, VectorD)

    Convert 'this' relation into a matrix of doubles and a vector of doubles.

    Convert 'this' relation into a matrix of doubles and a vector of doubles.

    in the regression equation: 'xb = y' create matrix 'x' and vector 'y'

    colPos

    the column positions to use for the matrix

    colPosV

    the column position to use for the vector

    kind

    the kind of matrix to create

  65. def toMatriDI(colPos: Seq[Int], colPosV: Int, kind: MatrixKind = DENSE): (MatriD, VectorI)

    Convert 'this' relation into a matrix of doubles and a vector of integers.

    Convert 'this' relation into a matrix of doubles and a vector of integers.

    in the regression equation: 'xb = y' create matrix 'x' and vector 'y'

    colPos

    the column positions to use for the matrix

    colPosV

    the column position to use for the vector

    kind

    the kind of matrix to create

  66. def toMatriI(colPos: Seq[Int], kind: MatrixKind = DENSE): MatriI

    Convert 'this' relation into a matrix of integers.

    Convert 'this' relation into a matrix of integers.

    in the regression equation: 'xb = y' create matrix 'xy'

    colPos

    the column positions to use for the matrix

    kind

    the kind of matrix to create

  67. def toMatriII(colPos: Seq[Int], colPosV: Int, kind: MatrixKind = DENSE): (MatriI, VectorI)

    Convert 'this' relation into a matrix of integers and a vector of integers.

    Convert 'this' relation into a matrix of integers and a vector of integers.

    in the regression equation: 'xb = y' create matrix 'x' and vector 'y'

    colPos

    the column positions to use for the matrix

    colPosV

    the column position to use for the vector

    kind

    the kind of matrix to create

  68. def toString(): String

    Convert 'this' relation into a string column by column.

    Convert 'this' relation into a string column by column.

    Definition Classes
    MM_Relation → AnyRef → Any
  69. def union(_r2: Table): MM_Relation

    Union 'this' relation and 'r2'.

    Union 'this' relation and 'r2'. Check that the two relations are compatible.

    Definition Classes
    MM_Relation → Table
  70. def uniq_union(cn1: Seq[String], cn2: Seq[String]): Seq[String]

    Combine two sequences of column names, keeping all names from 'cn1' and only those in 'cn2' that are not repeats (i.e., not already in 'cn1').

    Combine two sequences of column names, keeping all names from 'cn1' and only those in 'cn2' that are not repeats (i.e., not already in 'cn1').

    cn1

    the first sequence of column names

    cn2

    the second sequence of column names

    Definition Classes
    Table
  71. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  72. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  73. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  74. def writeCSV(fileName: String): Unit

    Write 'this' relation into a CSV file with each row written to a line.

    Write 'this' relation into a CSV file with each row written to a line.

    fileName

    the file name of the data file

    Definition Classes
    MM_Relation → Table
  75. def writeJSON(fileName: String): Unit

    Write 'this' relation into a JSON file.

    Write 'this' relation into a JSON file.

    fileName

    the file name of the data file

    Definition Classes
    MM_Relation → Table
  76. def π(cName: String*): MM_Relation

    Project onto the columns with the given column names.

    Project onto the columns with the given column names.

    cName

    the names of the columns to project onto

    Definition Classes
    MM_Relation → Table
  77. def σ[T](cName: String, p: (T) ⇒ Boolean): MM_Relation

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    Select elements from columns in 'cName' in 'this' relation that satisfy the predicate 'p'.

    cName

    the name of the column used for selection

    p

    the predicate (Boolean function) to be satisfied

    Definition Classes
    MM_Relation → Table
  78. def ⋂(r2: Table): MM_Relation

    Intersect 'this' relation and 'r2'.

    Intersect 'this' relation and 'r2'. Check that the two relations are compatible.

    r2

    the other relation

    Definition Classes
    MM_Relation → Table
  79. def ⋃(r2: Table): MM_Relation

    Union 'this' relation and 'r2'.

    Union 'this' relation and 'r2'. Check that the two relations are compatible.

    r2

    the other relation

    Definition Classes
    MM_Relation → Table
  80. def ⋈(r2: Table): MM_Relation

    Join 'this' relation and 'r2 by performing a "natural-join".

    Join 'this' relation and 'r2 by performing a "natural-join". Rows from both relations are compared requiring agreement on common attributes (column names).

    r2

    the rhs relation in the join operation

    Definition Classes
    MM_Relation → Table

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Error

Inherited from Table

Inherited from AnyRef

Inherited from Any

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