Packages

  • package root

    Documentation/API for the Molecule library - a meta DSL for the Datomic database.

    Manual | scalamolecule.org | Github | Forum

    Definition Classes
    root
  • package molecule

    Molecule library - a Scala meta-DSL for the Datomic database.

    Molecule library - a Scala meta-DSL for the Datomic database.

    See api package for various api imports to start using Molecule.

    Sub-packages

    api Molecule API.
    ast Internal Molecule ASTs.
    boilerplate Internal interfaces for auto-generated DSL boilerplate code.
    composition    Builder methods to compose molecules.
    exceptions Exceptions thrown by Molecule.
    expression Attribute expressions and operations.
    facade Molecule facades to Datomic.
    factory Implicit macro methods `m` to instantiate molecules from custom DSL molecule constructs.
    input Input molecules awaiting input.
    macros Internal macros generating molecule code from custom DSL molecule constructs.
    generic Interfaces to generic information about datoms and Datomic database.
    ops Internal operational helpers for transforming DSL to molecule.
    schema Schema definition DSL.
    transform Internal transformers from DSL to Model/Query/Transaction.
    util Internal Java database functions for Datomic.

    Definition Classes
    root
  • package expression

    Attribute expressions and operations.

    Attribute expressions and operations.

    Refine attribute matches with various attribute expressions:

    Person.age(42)                           // equality
    Person.name.contains("John")             // fulltext search
    Person.age.!=(42)                        // negation (or `not`)
    Person.age.<(42)                         // comparison (< > <= >=)
    Person.name("John" or "Jonas")           // OR-logic
    Person.age()                             // apply empty value to retract value(s) in updates
    Person.hobbies.assert("golf")               // add value(s) to card-many attributes
    Person.hobbies.retract("golf")            // retract value(s) of card-many attributes
    Person.hobbies.replace("golf", "diving") // replace value(s) of card-many attributes
    Person.tags.k("en")                      // match values of map attributes by key
    Person.age(Nil)                          // match non-asserted datoms (null)
    Person.name(?)                           // initiate input molecules awaiting input at runtime
    Person.name(unify)                       // Unify attributes in self-joins

    Apply aggregate keywords to aggregate attribute value(s):

    // Aggregates on any attribute type
    Person.age(count).get.head         === 3   // count of asserted `age` attribute values
    Person.age(countDistinct).get.head === 3   // count of asserted distinct `age` attribute values
    Person.age(max).get.head           === 38  // maximum `age` value (using `compare`)
    Person.age(min).get.head           === 5   // maximum `age` value (using `compare`)
    Person.age(rand).get.head          === 25  // single random `age` value
    Person.age(sample).get.head        === 27  // single sample `age` value (when single value, same as random)
    
    // Aggregates on any attribute type, returning multiple values
    Person.age(distinct).get.head  === Vector(5, 7, 38)  // distinct `age` values
    Person.age(max(2)).get.head    === Vector(38, 7)     // 2 maximum `age` values
    Person.age(min(2)).get.head    === Vector(5, 7)      // 2 minimum `age` values
    Person.age(rand(2)).get.head   === Stream(5, ?)      // 2 random `age` values (values can re-occur)
    Person.age(sample(2)).get.head === Vector(7, 38)     // 2 sample `age` values
    
    // Aggregates on number attributes
    Person.age(sum).get.head      === 50               // sum of all `age` numbers
    Person.age(avg).get.head      === 16.66666667      // average of all `age` numbers
    Person.age(median).get.head   === 7                // median of all `age` numbers
    Person.age(stddev).get.head   === 15.107025591499  // standard deviation of all `age` numbers
    Person.age(variance).get.head === 228.2222222222   // variance of all `age` numbers
    Definition Classes
    molecule
    See also

    Manual: expressions | aggregates | input molecules

    Tests: expressions

  • AggregateKeywords
  • AggregateKeywordsSchema
  • AttrExpressions
  • LogicImplicits
o

molecule.expression

AggregateKeywordsSchema

object AggregateKeywordsSchema extends AggregateKeywords

Apply methods of arity 1-22 taking aggregate keywords.

Source
AggregateKeywordsSchema.scala
Linear Supertypes
AggregateKeywords, AnyRef, Any
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  1. AggregateKeywordsSchema
  2. AggregateKeywords
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Type Members

  1. trait avg extends AnyRef

    Average of attribute values.

    Average of attribute values.

    Apply avg keyword to attribute to return average of attribute values of entities matching the molecule.

    Match.score.insert(1, 2, 4)
    Match.score(avg).get.head === 2.3333333333333335 // (1 + 2 + 4) / 3
    returns

    Double

    Definition Classes
    AggregateKeywords
  2. trait count extends AnyRef

    Count of attribute values.

    Count of attribute values.

    Apply count keyword to attribute to return count of attribute values of entities matching the molecule.

    Person.firstName.lastName.age insert List(
      ("Ben", "Hayday", 42),
      ("Liz", "Taylor", 34),
      ("Liz", "Swifty", 34),
      ("Liz", "Mooray", 25)
    )
    Person.firstName.age(count).get === List(
      ("Ben", 1),
      ("Liz", 3) // 34, 34, 25
    )
    returns

    Int

    Definition Classes
    AggregateKeywords
  3. trait countDistinct extends AnyRef

    Count of distinct attribute values.

    Count of distinct attribute values.

    Apply countDistinct keyword to attribute to return count of distinct attribute values of entities matching the molecule.

    Person.firstName.lastName.age insert List(
      ("Ben", "Hayday", 42),
      ("Liz", "Taylor", 34),
      ("Liz", "Swifty", 34),
      ("Liz", "Mooray", 25)
    )
    Person.firstName.age(countDistinct).get === List(
      ("Ben", 1),
      ("Liz", 2) // 34, 25
    )
    returns

    Int

    Definition Classes
    AggregateKeywords
  4. trait distinct extends AnyRef

    Distinct attribute values.

    Distinct attribute values.

    Apply distinct keyword to attribute to return Vector of distinct attribute values of entities matching the molecule.

    Person.firstName.lastName.age insert List(
      ("Ben", "Hayday", 42),
      ("Liz", "Taylor", 34),
      ("Liz", "Swifty", 34),
      ("Liz", "Mooray", 25)
    )
    Person.firstName.age(distinct) insert List(
      ("Ben", 42),
      ("Liz", Vector(34, 25)) // only single 34 returned
    )
    returns

    List[attribute-type]

    Definition Classes
    AggregateKeywords
  5. trait max extends AnyRef

    Maximum attribute value(s).

    Maximum attribute value(s).

    Apply max keyword to attribute to return the maximum attribute value of entities matching the molecule.

    Person.age.insert(25, 34, 37, 42, 70)
    Person.age(max).get.head === 70

    Apply max(n) to return Vector of the n biggest values.

    Person.age(max(3)).get.head === Vector(37, 42, 70)
    Definition Classes
    AggregateKeywords
    Note

    max/max(n) supports all value types (via comparators).
    max(n) Can at most return the number of values that match.

  6. trait maxs extends AnyRef
    Definition Classes
    AggregateKeywords
  7. trait median extends AnyRef

    Median of attribute values.

    Median of attribute values.

    Apply median keyword to attribute to return median of attribute values of entities matching the molecule.

    Match.score.insert(1, 2, 4)
    Match.score(median).get.head === 2

    OBS: When it comes to an even number of values, Datomic has a special implementation of median that is different from the one described on the Wiki entry on the median function.

    Datomic calculates the median of even number of values as the average of the two middle numbers rounded down to nearest whole number

    Match.score.insert(1, 2, 3, 4)
    Match.score(median).get.head === 2 // (2 + 3) / 2 = 2.5 rounded down to 2

    With decimal numbers this can go wrong:

    Match.score.insert(1.0, 2.5, 2.5, 3.0)
    Match.score(median).get.head === 2 // (2.5 + 2.5) / 2 = 2.5 rounded down to 2 (This is wrong and bug report has been filed)
    returns

    Value of Attribute type

    Definition Classes
    AggregateKeywords
  8. trait min extends AnyRef

    Minimum attribute value(s).

    Minimum attribute value(s).

    Apply min keyword to attribute to return the minimum attribute value of entities matching the molecule.

    Person.age.insert(25, 34, 37, 42, 70)
    Person.age(min).get.head === 25

    Apply min(n) to return Vector of the n smallest values.

    Person.age(min(3)).get.head === Vector(25, 34, 37)
    Definition Classes
    AggregateKeywords
    Note

    min/min(n) supports all value types (via comparators).
    min(n) Can at most return the number of values that match.

  9. trait mins extends AnyRef
    Definition Classes
    AggregateKeywords
  10. trait rand extends AnyRef

    Random attribute value(s).

    Random attribute value(s).

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

    Person.age.insert(25, 34, 37, 42, 70)
    Person.age(random).get.head === 34 // or other..

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

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

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

    Definition Classes
    AggregateKeywords
  11. trait rands extends AnyRef
    Definition Classes
    AggregateKeywords
  12. trait sample extends AnyRef

    Sample attribute value(s).

    Sample attribute value(s).

    Apply sample keyword to attribute to return a single sample (random) attribute value of entities matching the molecule.

    Person.age.insert(25, 34, 37, 42, 70)
    Person.age(sample).get.head === 42 // or other..

    Apply sample(n) to return Vector of up to n distinct sample values.

    Person.age(sample(3)).get.head === Vector(70, 25, 37) // or other..

    If values don't need to be distinct, random(n) can be used also.

    Definition Classes
    AggregateKeywords
    Note

    Can at most return the number of values that match.

  13. trait samples extends AnyRef
    Definition Classes
    AggregateKeywords
  14. trait stddev extends AnyRef

    Variance of attribute values.

    Variance of attribute values.

    Apply stddev keyword to attribute to return variance of attribute values of entities matching the molecule.

    Match.score.insert(1, 2, 4)
    Match.score(stddev).get.head === 1.247219128924647
    returns

    Double

    Definition Classes
    AggregateKeywords
  15. trait sum extends AnyRef

    Sum of attribute values.

    Sum of attribute values.

    Apply sum keyword to attribute to return sum of attribute values of entities matching the molecule.

    Match.score.insert(1, 2, 4)
    Match.score(sum).get.head === 7
    returns

    Value of Attribute type

    Definition Classes
    AggregateKeywords
  16. trait variance extends AnyRef

    Variance of attribute values.

    Variance of attribute values.

    Apply variance keyword to attribute to return variance of attribute values of entities matching the molecule.

    Match.score.insert(1, 2, 4)
    Match.score(variance).get.head === 1.5555555555555556
    returns

    Double

    Definition Classes
    AggregateKeywords
  17. trait AggregateSchema00[Ns0] extends AnyRef
  18. trait AggregateSchema01[Ns1[_], A] extends AnyRef
  19. trait AggregateSchema02[Ns2[_, _], A, B] extends AnyRef
  20. trait AggregateSchema03[Ns3[_, _, _], A, B, C] extends AnyRef
  21. trait AggregateSchema04[Ns4[_, _, _, _], A, B, C, D] extends AnyRef
  22. trait AggregateSchema05[Ns5[_, _, _, _, _], A, B, C, D, E] extends AnyRef
  23. trait AggregateSchema06[Ns6[_, _, _, _, _, _], A, B, C, D, E, F] extends AnyRef
  24. trait AggregateSchema07[Ns7[_, _, _, _, _, _, _], A, B, C, D, E, F, G] extends AnyRef
  25. trait AggregateSchema08[Ns8[_, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H] extends AnyRef
  26. trait AggregateSchema09[Ns9[_, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I] extends AnyRef
  27. trait AggregateSchema10[Ns10[_, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J] extends AnyRef
  28. trait AggregateSchema11[Ns11[_, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K] extends AnyRef
  29. trait AggregateSchema12[Ns12[_, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L] extends AnyRef
  30. trait AggregateSchema13[Ns13[_, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M] extends AnyRef
  31. trait AggregateSchema14[Ns14[_, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N] extends AnyRef
  32. trait AggregateSchema15[Ns15[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O] extends AnyRef
  33. trait AggregateSchema16[Ns16[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P] extends AnyRef
  34. trait AggregateSchema17[Ns17[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q] extends AnyRef
  35. trait AggregateSchema18[Ns18[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R] extends AnyRef
  36. trait AggregateSchema19[Ns19[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S] extends AnyRef
  37. trait AggregateSchema20[Ns20[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T] extends AnyRef
  38. trait AggregateSchema21[Ns21[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U] extends AnyRef
  39. trait AggregateSchema22[Ns22[_, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _, _], A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V] extends AnyRef

Value Members

  1. final def !=(arg0: Any): Boolean
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  3. final def ==(arg0: Any): Boolean
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  5. def clone(): AnyRef
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    Definition Classes
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  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
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  8. def finalize(): Unit
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    Definition Classes
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  15. final def synchronized[T0](arg0: => T0): T0
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    Definition Classes
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  19. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from AggregateKeywords

Inherited from AnyRef

Inherited from Any

Aggregate keywords

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

Number aggregation keywords

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

Ungrouped