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

    action Actions on molecules and entities.
    api Molecule import interfaces of various arities.
    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.
    generic Interfaces to generic information about datoms and Datomic database.
    input Input molecules awaiting input.
    macro Internal macros generating molecule code from custom DSL molecule constructs.
    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 action

    Various actions and operations on molecules and entities.

    Various actions and operations on molecules and entities.

    Definition Classes
    molecule
  • package get

    Package with various synchronous getter methods to retrieve data from Datomic with molecules.

    Package with various synchronous getter methods to retrieve data from Datomic with molecules.

    For the Datomic Peer model, Datomic returns data synchronously. The Peer lives in application memory and caches data aggressively to save roundtrips to disk or memcached. Query results that can fit in memory will therefore have near-zero latency and return extremely fast.

    Molecule has not yet addressed the Client api although the query engine would be the same as for the current Peer version.

    Molecule has 5 groups of getters each returning data in various formats:

    • GetList - default getter returning Lists of tuples. Convenient typed data, suitable for smaller data sets
    • GetArray - fastest retrieved typed data set. Can be traversed with a fast while loop
    • GetIterable - for lazily traversing row by row
    • GetRaw - fastest retrieved raw un-typed data from Datomic
    • GetJson - data formatted as Json string

    Getters in each of the 5 groups come with 5 time-dependent variations:

    • get [current data]
    • getAsOf
    • getSince
    • getWith
    • getHistory

    Each time variation has various overloads taking different parameters (see each group for more info).

    Definition Classes
    action
  • GetArray
  • GetIterable
  • GetJson
  • GetList
  • GetRaw

trait GetArray[Tpl] extends AnyRef

Data getter methods on molecules that return Array[Tpl].

The fastest way of getting a typed data set. Can then be traversed with a fast while loop.

Self Type
Molecule[Tpl]
Source
GetArray.scala
Linear Supertypes
AnyRef, Any
Known Subclasses
Molecule, Molecule01, Molecule02, Molecule03, Molecule04, Molecule05, Molecule06, Molecule07, Molecule08, Molecule09, Molecule10, Molecule11, Molecule12, Molecule13, Molecule14, Molecule15, Molecule16, Molecule17, Molecule18, Molecule19, Molecule20, Molecule21, Molecule22, GetList
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  9. def getArray(n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule.

    Get Array of n rows as tuples matching molecule.

    Person.name.age.getArray(1) === Array(
  ("Ben", 42)
)



    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    n

    Number of rows

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of types matching the attributes of the molecule

  10. def getArray(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule.

    Get Array of all rows as tuples matching molecule.

    Person.name.age.getArray === Array(
  ("Ben", 42),
  ("Liz", 37),
)



    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of types matching the attributes of the molecule

  11. def getArrayAsOf(date: Date, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule as of date.

    Get Array of n rows as tuples matching molecule as of date.

    Get data at a human point in time (a java.util.Date).

    val beforeInsert = new java.util.Date

// Insert
val tx1 = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
)
val List(ben, liz) = tx1.eids
val afterInsert = new java.util.Date

// Update
val tx2 = Person(ben).age(43).update
val afterUpdate = new java.util.Date

// Get Array of all rows as of afterUpdate
Person.name.age.getArrayAsOf(afterUpdate) === Array(
  ("Ben", 43),
  ("Liz", 37)
)

// Get Array of n rows as of afterUpdate
Person.name.age.getArrayAsOf(afterUpdate, 1) === Array(
  ("Ben", 43)
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    date

    java.util.Date

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  12. def getArrayAsOf(date: Date)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule as of date.

    Get Array of all rows as tuples matching molecule as of date.

    Get data at a human point in time (a java.util.Date).

    val beforeInsert = new java.util.Date

// Insert
val tx1 = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
)
val List(ben, liz) = tx1.eids
val afterInsert = new java.util.Date

// Update
val tx2 = Person(ben).age(43).update
val afterUpdate = new java.util.Date

// Retract
val tx3 = ben.retract
val afterRetract = new java.util.Date

// No data yet before insert
Person.name.age.getArrayAsOf(beforeInsert) === Array()

// Get Array of all rows as of afterInsert
Person.name.age.getArrayAsOf(afterInsert) === Array(
  ("Ben", 42),
  ("Liz", 37)
)

// Get Array of all rows as of afterUpdate
Person.name.age.getArrayAsOf(afterUpdate) === Array(
  ("Ben", 43), // Ben now 43
  ("Liz", 37)
)

// Get Array of all rows as of afterRetract
Person.name.age.getArrayAsOf(afterRetract) === Array(
  ("Liz", 37) // Ben gone
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    date

    java.util.Date

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  13. def getArrayAsOf(tx: TxReport, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule as of tx.

    Get Array of n rows as tuples matching molecule as of tx.

    Datomic's internal asOf method can take a transaction entity id as argument to retrieve a database value as of that transaction (including).

    Instead of supplying the transaction entity id, in Molecule we supply a TxReport that contains the transaction entity id (which is used as argument to Datomic internally). This is more convenient when using Molecule since we get a TxReport from transaction operations like get, update, retract etc.

    // Insert (tx report 1)
val tx1 = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
)
val List(ben, liz) = tx1.eids

// Update (tx report 2)
val tx2 = Person(ben).age(43).update

// Get Array of all rows as of tx2 (after update)
Person.name.age.getArrayAsOf(tx2) === Array(
  ("Ben", 43),
  ("Liz", 37)
)

// Get Array of n rows as of tx2 (after update)
Person.name.age.getArrayAsOf(tx2, 1) === Array(
  ("Ben", 43)
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    tx

    TxReport (returned from all molecule transaction operations)

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  14. def getArrayAsOf(tx: TxReport)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule as of tx.

    Get Array of all rows as tuples matching molecule as of tx.

    Datomic's internal asOf method can take a transaction entity id as argument to retrieve a database value as of that transaction (including).

    Instead of supplying the transaction entity id, in Molecule we supply a TxReport that contains the transaction entity id (which is used as argument to Datomic internally). This is more convenient when using Molecule since we get a TxReport from transaction operations like get, update, retract etc.

    // Insert (tx report 1)
val tx1 = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
)
val List(ben, liz) = tx1.eids

// Update (tx report 2)
val tx2 = Person(ben).age(43).update

// Retract (tx report 3)
val tx3 = ben.retract

// Get Array of all rows as of tx1 (after insert)
Person.name.age.getArrayAsOf(tx1) === Array(
  ("Ben", 42),
  ("Liz", 37)
)

// Get Array of all rows as of tx2 (after update)
Person.name.age.getArrayAsOf(tx2) === Array(
  ("Ben", 43), // Ben now 43
  ("Liz", 37)
)

// Get Array of all rows as of tx3 (after retract)
Person.name.age.getArrayAsOf(tx3) === Array(
  ("Liz", 37) // Ben gone
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    tx

    TxReport (returned from all molecule transaction operations)

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  15. def getArrayAsOf(t: Long, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule as of transaction time t.

    Get Array of n rows as tuples matching molecule as of transaction time t.

    Transaction time t is an auto-incremented transaction number assigned internally by Datomic.

    t can for instance be retrieved in a getHistory call for an attribute and then be used to get data as of that point in time (including that transaction):

    // Insert (t 1028)
val List(ben, liz) = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
) eids

// Update (t 1031)
Person(ben).age(43).update

// History of Ben
Person(ben).age.t.op.getHistory.sortBy(r => (r._2, r._3)) === List(
  (42, 1028, true),  // Insert:  42 asserted
  (42, 1031, false), // Update:  42 retracted
  (43, 1031, true),  //          43 asserted
)

// Get Array of all rows as of transaction t 1031 (after update)
Person.name.age.getArrayAsOf(1031) === Array(
  ("Ben", 43),
  ("Liz", 37)
)

// Get Array of n rows as of transaction t 1031 (after update)
Person.name.age.getArrayAsOf(1031, 1) === Array(
  ("Ben", 43)
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    t

    Long Transaction time t

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  16. def getArrayAsOf(t: Long)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule as of transaction time t.

    Get Array of all rows as tuples matching molecule as of transaction time t.

    Transaction time t is an auto-incremented transaction number assigned internally by Datomic.

    t can for instance be retrieved in a getHistory call for an attribute and then be used to get data as of that point in time (including that transaction):

    // Insert (t 1028)
val List(ben, liz) = Person.name.age insert List(
  ("Ben", 42),
  ("Liz", 37)
) eids

// Update (t 1031)
Person(ben).age(43).update

// Retract (t 1032)
ben.retract

// History of Ben
Person(ben).age.t.op.getHistory.sortBy(r => (r._2, r._3)) === List(
  (42, 1028, true),  // Insert:  42 asserted
  (42, 1031, false), // Update:  42 retracted
  (43, 1031, true),  //          43 asserted
  (43, 1032, false)  // Retract: 43 retracted
)

// Get Array of data as of transaction t 1028 (after insert)
Person.name.age.getArrayAsOf(1028) === Array(
  ("Ben", 42),
  ("Liz", 37)
)

// Get Array of all rows as of transaction t 1031 (after update)
Person.name.age.getArrayAsOf(1031) === Array(
  ("Ben", 43),
  ("Liz", 37)
)

// Get Array of all rows as of transaction t 1032 (after retract)
Person.name.age.getArrayAsOf(1032) === Array(
  ("Liz", 37)
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    t

    Transaction time t

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on getAsOf

  17. def getArraySince(date: Date, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule since date.

    Get Array of n rows as tuples matching molecule since date.

    Get data added/retracted since a human point in time (a java.util.Date).

    // Transact 3 times (`inst` retrieves transaction time/Date from tx report)
val date1 = Person.name("Ann").save.inst
val date2 = Person.name("Ben").save.inst
val date3 = Person.name("Cay").save.inst

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since date1
Person.name.getArraySince(date1) === Array("Ben", "Cay")

// Ben and Cay added since date1 - only n (1) rows returned
Person.name.getArraySince(date1, 1) === Array("Ben")

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    date

    java.util.Date

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  18. def getArraySince(date: Date)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule since date.

    Get Array of all rows as tuples matching molecule since date.

    Get data added/retracted since a human point in time (a java.util.Date).

    // Transact 3 times (`inst` retrieves transaction time/Date from tx report)
val date1 = Person.name("Ann").save.inst
val date2 = Person.name("Ben").save.inst
val date3 = Person.name("Cay").save.inst

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since date1
Person.name.getArraySince(date1) === Array("Ben", "Cay")

// Cay added since date2
Person.name.getArraySince(date2) === Array("Cay")

// Nothing added since date3
Person.name.getArraySince(date3) === Nil

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    date

    java.util.Date

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  19. def getArraySince(tx: TxReport, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule since tx.

    Get Array of n rows as tuples matching molecule since tx.

    Datomic's internal since can take a transaction entity id as argument to retrieve a database value since that transaction (excluding the transaction itself).

    Instead of supplying the transaction entity id, in Molecule we supply a TxReport that contains the transaction entity id (which is used as argument to Datomic internally). This is more convenient when using Molecule since we get a TxReport from transaction operations like get, update, retract etc.

    // Get tx reports for 3 transactions
val tx1 = Person.name("Ann").save
val tx2 = Person.name("Ben").save
val tx3 = Person.name("Cay").save

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since tx1
Person.name.getArraySince(tx1) === Array("Ben", "Cay")

// Ben and Cay added since tx1 - only n (1) rows returned
Person.name.getArraySince(tx1, 1) === Array("Ben")

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    tx

    TxReport

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  20. def getArraySince(tx: TxReport)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule since tx.

    Get Array of all rows as tuples matching molecule since tx.

    Datomic's internal since can take a transaction entity id as argument to retrieve a database value since that transaction (excluding the transaction itself).

    Instead of supplying the transaction entity id, in Molecule we supply a TxReport that contains the transaction entity id (which is used as argument to Datomic internally). This is more convenient when using Molecule since we get a TxReport from transaction operations like get, update, retract etc.

    // Get tx reports for 3 transactions
val tx1 = Person.name("Ann").save
val tx2 = Person.name("Ben").save
val tx3 = Person.name("Cay").save

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since tx1
Person.name.getArraySince(tx1) === Array("Ben", "Cay")

// Cay added since tx2
Person.name.getArraySince(tx2) === Array("Cay")

// Nothing added since tx3
Person.name.getArraySince(tx3) === Nil

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    tx

    TxReport

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  21. def getArraySince(t: Long, n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule since transaction time t.

    Get Array of n rows as tuples matching molecule since transaction time t.

    Transaction time t is an auto-incremented transaction number assigned internally by Datomic.

    t can for instance be retrieved by calling t on the tx report returned from transactional operations and then be used to get data since that point in time (excluding that transaction):

    // 3 transaction times `t`
val t1 = Person.name("Ann").save.t
val t2 = Person.name("Ben").save.t
val t3 = Person.name("Cay").save.t

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since transaction time t 1028
Person.name.getArraySince(t1) === Array("Ben", "Cay")

// Ben and Cay added since transaction time t 1028 - only n (1) rows returned
Person.name.getArraySince(t1, 1) === Array("Ben")

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    t

    Transaction time t

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  22. def getArraySince(t: Long)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule since transaction time t.

    Get Array of all rows as tuples matching molecule since transaction time t.

    Transaction time t is an auto-incremented transaction number assigned internally by Datomic.

    t can for instance be retrieved by calling t on the tx report returned from transactional operations and then be used to get data since that point in time (excluding that transaction):

    // 3 transaction times `t`
val t1 = Person.name("Ann").save.t
val t2 = Person.name("Ben").save.t
val t3 = Person.name("Cay").save.t

// Current values
Person.name.get === List("Ann", "Ben", "Cay")

// Ben and Cay added since transaction time t 1028
Person.name.getArraySince(t1) === Array("Ben", "Cay")

// Cay added since transaction time t 1030
Person.name.getArraySince(t2) === Array("Cay")

// Nothing added since transaction time t 1032
Person.name.getArraySince(t3) === Nil

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    t

    Transaction time t

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual on since

  23. def getArrayWith(txData: List[_], n: Int)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule with applied raw transaction data.

    Get Array of n rows as tuples matching molecule with applied raw transaction data.

    Apply raw transaction data to in-memory "branch" of db without affecting db to see how it would then look:

    // Live size of Person db
Person.name.get.size === 150

// Read some transaction data from file
val data_rdr2 = new FileReader("examples/resources/seattle/seattle-data1a.dtm")
val newDataTx = Util.readAll(data_rdr2).get(0).asInstanceOf[java.util.List[Object]]

// Imagine future db - 100 persons would be added, apparently
Person.name.getArrayWith(newDataTx).size === 250

// Imagine future db - Let's just take 10
Person.name.getArrayWith(newDataTx, 10).size === 10

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    txData

    Raw transaction data as java.util.List[Object]

    n

    Int Number of rows returned

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual

  24. def getArrayWith(txData: List[_])(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule with applied raw transaction data.

    Get Array of all rows as tuples matching molecule with applied raw transaction data.

    Apply raw transaction data to in-memory "branch" of db without affecting db to see how it would then look:

    // Live size of Person db
Person.name.get.size === 150

// Read some transaction data from file
val data_rdr2 = new FileReader("examples/resources/seattle/seattle-data1a.dtm")
val newDataTx = Util.readAll(data_rdr2).get(0).asInstanceOf[java.util.List[Object]]

// Imagine future db - 100 persons would be added, apparently
Person.name.getArrayWith(newDataTx).size === 250

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    txData

    Raw transaction data as java.util.List[Object]

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual

  25. def getArrayWith(n: Int, txMolecules: Seq[Seq[Statement]]*)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of n rows as tuples matching molecule with applied molecule transaction data.

    Get Array of n rows as tuples matching molecule with applied molecule transaction data.

    Apply one or more molecule transactions to in-memory "branch" of db without affecting db to see how it would then look:

    // Current state
val List(ben, liz) = Person.name.likes.insert(
  ("Ben", "pasta"),
  ("Liz", "pizza")
).eids

// Test multiple transactions
Person.name.likes.getArrayWith(
  Person(ben).likes("sushi").getUpdateTx,
  Person(liz).likes("cake").getUpdateTx
) === Array(
  ("Ben", "sushi")
  ("Liz", "cake")
)

// Same as above, but only n (1) rows returned:
Person.name.likes.getArrayWith(
  1
  Person(ben).likes("sushi").getUpdateTx,
  Person(liz).likes("cake").getUpdateTx
) === Array(
  ("Ben", "sushi")
)

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    The Array is only populated with n rows of type-casted tuples.

    n

    Int Number of rows returned

    txMolecules

    Transaction statements from applied Molecules with test data

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    Note

    Note how the n parameter has to come before the txMolecules vararg.

    See also

    Manual

  26. def getArrayWith(txMolecules: Seq[Seq[Statement]]*)(implicit conn: Conn, ev: ClassTag[Tpl]): Array[Tpl]

    Get Array of all rows as tuples matching molecule with applied molecule transaction data.

    Get Array of all rows as tuples matching molecule with applied molecule transaction data.

    Apply one or more molecule transactions to in-memory "branch" of db without affecting db to see how it would then look:

    // Current state
val ben = Person.name("Ben").likes("pasta").save.eid

// Base data
Person.name.likes.getArrayWith(
  // apply imaginary transaction data
  Person(ben).likes("sushi").getUpdateTx
) === Array(
  // Effect: Ben would like sushi if tx was applied
  ("Ben", "sushi")
)

// Current state is still the same
Person.name.likes.get === Array(
  ("Ben", "pasta")
)

    Multiple transactions can be applied to test more complex what-if scenarios!

    Getting a pre-allocated Array populated with typed data is the fastest way to query Datomic with Molecule. Looping the Array in a while loop with a mutable index pointer will also be the fastest way to traverse the data set.

    txMolecules

    Transaction statements from applied Molecules with test data

    conn

    Implicit Conn value in scope

    returns

    Array[Tpl] where Tpl is a tuple of data matching molecule

    See also

    Manual

  27. final def getClass(): Class[_]
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