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 api

    Public interface to be imported to use Molecule.

    Public interface to be imported to use Molecule.

    To make the Molecule macro materializations as fast as possible we try to import as few macro implicits as possible. If your application code build molecules with at the most 10 attributes, then you can do the following import to start using Molecule:

    import molecule.api.out10._

    out means "output molecule" , and 10 the maximum arity or number of attributes of your molecules.

    If you use input molecules awaiting an input then you can add inX where X is how many inputs (1, 2 or 3) you will use, for instance:

    import molecule.api.in2_out10._

    This way we keep the implicit macro def lookups to a minimum and compilation speed as fast as possible.

    Arities can be changed anytime you like. But not to a lower arity than that of the molecules you use in scope of the import.

    Definition Classes
    molecule
  • package getAsync

    Asynchronous getter methods to retrieve data from Datomic.

    Asynchronous getter methods to retrieve data from Datomic.

    For convenience, all synchronous getter methods from the get package are here wrapped in Futures.

    The Datomic On-Prem(ises) server model provides a Peer that returns data synchronously. The Peer which lives in application memory caches data aggressively and for data fitting in memory latency can be extremely low and queries return very fast. And even when access to disk is needed, clever branching is used. Memcached is also an option.

    The Datomic Cloud model data returns data asynchronously. If Datomic creates a Java API for the Cloud model, Molecule could relatively easy adapt to this model too. In the meanwhile, Future-wrapped methods in this package can be used.

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

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

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

    • getAsync [current data]
    • getAsyncAsOf
    • getAsyncSince
    • getAsyncWith
    • getAsyncHistory

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

    Definition Classes
    api
    See also

    equivalent synchronous getters in the get package.

  • GetAsyncArray
  • GetAsyncIterable
  • GetAsyncJson
  • GetAsyncList
  • GetAsyncRaw
t

molecule.api.getAsync

GetAsyncArray

trait GetAsyncArray[Tpl] extends AnyRef

Asynchronous data getter methods on molecules returning Future[Array[Tpl]].

The fastest way of getting a large typed data set since data is applied to a super fast pre-allocated Array. The Array can then be traversed with a fast while loop.

// Map over the Future
Ns.int.getAsyncArray.map { result =>
  result === Array(1, 2, 3)

  // Fast while loop
  var i = 0
  val length = result.length
  while(i < length) {
    println(result(i)) // Do stuff with row...
    i += 1
  }
}

Each asynchronous getter in this package simply wraps the result of its equivalent synchronous getter (in the get package) in a Future. getAsyncArrayAsOf thus wraps the result of getArrayAsOf in a Future and so on.

Self Type
Molecule[Tpl] with GetArray[Tpl]
Source
GetAsyncArray.scala
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  9. def getAsyncArray(n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

    Get Future with Array of n rows as tuples matching molecule.

    Get Future with Array of n rows as tuples matching molecule.

    For more info and code examples see equivalent synchronous getArray method.

    n

    Number of rows

    conn

    Implicit Conn value in scope

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

  10. def getAsyncArray(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

    Get Future with Array of all rows as tuples matching molecule.

    Get Future with Array of all rows as tuples matching molecule.

    For more info and code examples see equivalent synchronous getArray method.

    conn

    Implicit Conn value in scope

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

  11. def getAsyncArrayAsOf(date: Date, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

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

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

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  12. def getAsyncArrayAsOf(date: Date)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

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

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

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  13. def getAsyncArrayAsOf(tx: TxReport, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  14. def getAsyncArrayAsOf(tx: TxReport)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  15. def getAsyncArrayAsOf(t: Long, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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).

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  16. def getAsyncArrayAsOf(t: Long)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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).

    For more info and code examples see equivalent synchronous getArrayAsOf method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  17. def getAsyncArraySince(date: Date, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

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

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

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  18. def getAsyncArraySince(date: Date)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

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

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

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  19. def getAsyncArraySince(tx: TxReport, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  20. def getAsyncArraySince(tx: TxReport)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  21. def getAsyncArraySince(t: Long, n: Int)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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).

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

  22. def getAsyncArraySince(t: Long)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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).

    For more info and code examples see equivalent synchronous getArraySince method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on asof/since

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

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayWith method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on with

  24. def getAsyncArrayWith(txData: List[_])(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayWith method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on with

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

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayWith method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    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 on with

  26. def getAsyncArrayWith(txMolecules: Seq[Seq[Statement]]*)(implicit conn: Conn, tplType: ClassTag[Tpl]): Future[Array[Tpl]]

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

    Get Future with 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.

    For more info and code examples see equivalent synchronous getArrayWith method.

    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

    tplType

    Implicit ClassTag[Tpl] to capture Tuple type for Array

    returns

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

    See also

    Manual on with

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getAsync

getAsyncArrayAsOf

getAsyncArraySince

getAsyncArrayWith

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