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  • trait KeywordsStable extends AnyRef

    Keywords to mark aggregate expressions on and unifications of attributes.

    Keywords to mark aggregate expressions on and unifications of attributes.

    // Aggregates on any attribute type
Person.age(count).get.map(_.head ==> 3)         // count of asserted `age` attribute values
Person.age(countDistinct).get.map(_.head ==> 3) // count of asserted distinct `age` attribute values
Person.age(max).get.map(_.head ==> 38)          // maximum `age` value (using `compare`)
Person.age(min).get.map(_.head ==> 5)           // maximum `age` value (using `compare`)
Person.age(rand).get.map(_.head ==> 25)         // single random `age` value
Person.age(sample).get.map(_.head ==> 27)       // single sample `age` value (when single value, same as random)

// Aggregates on any attribute type, returning multiple values
Person.age(distinct).get.map(_.head ==> Vector(5, 7, 38)) // distinct `age` values
Person.age(max(2)).get.map(_.head ==> Vector(38, 7))      // 2 maximum `age` values
Person.age(min(2)).get.map(_.head ==> Vector(5, 7))       // 2 minimum `age` values
Person.age(rand(2)).get.map(_.head ==> Stream(5, ?))      // 2 random `age` values (values can re-occur)
Person.age(sample(2)).get.map(_.head ==> Vector(7, 38))   // 2 sample `age` values

// Aggregates on number attributes
Person.age(sum).get.map(_.head ==> 50)                  // sum of all `age` numbers
Person.age(avg).get.map(_.head ==> 16.66666667)         // average of all `age` numbers
Person.age(median).get.map(_.head ==> 7)                // median of all `age` numbers
Person.age(stddev).get.map(_.head ==> 15.107025591499)  // standard deviation of all `age` numbers
Person.age(variance).get.map(_.head ==> 228.2222222222) // variance of all `age` numbers
    Definition Classes
    api
  • AggrCoalesce
  • AggrInt
  • AggrKw
  • Kw
  • avg
  • bi
  • count
  • countDistinct
  • distinct
  • max
  • maxs
  • median
  • min
  • mins
  • rand
  • rands
  • sample
  • samples
  • stddev
  • sum
  • unify
  • v1
  • variance

trait rand extends AggrKw

Random attribute value(s).

Apply random keyword to attribute to return a single random attribute of entities matching the molecule.

for {
  _ <- Person.age.insert(25, 34, 37, 42, 70)
  _ <- Person.age(random).get.map(_.head ==> 34) // or other..
} yield ()

Apply random(n) to return Vector of n random values. Observe though that duplicate random values can re-occur.

Person.age(random(3)).get.map(_.head ==> Vector(42, 25, 42)) // or other..

To get distinct values only, use the sample(n) keyword instead.

Source
Keywords.scala
Linear Supertypes
AggrKw, Kw, AnyRef, Any
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rand
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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. def apply(n: Int): rands

    Random values of attribute.

    Random values of attribute.

    Apply a number n to random to return Stream of n random attribute values of from entities matching the molecule.
    Observe that duplicate random values can re-occur.

    for {
  _ <- Person.age.insert(25, 34, 37, 42, 70)
  _ <- Person.age(random(3)).get.map(_.head ==> Stream(42, 25, 42)) // or other..
} yield ()

    To get distinct values only, use the sample(n) keyword instead.

    returns

    List[attribute-type]

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    Deprecated

Inherited from AggrKw

Inherited from Kw

Inherited from AnyRef

Inherited from Any

Aggregate keywords

Keywords applied to attributes that return aggregated value(s).

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