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Version: 2.0.x

TArray

TArray is an array of mutable references that can participate in transactions in STM.

Create a TArray​

Creating an empty TArray:

import zio._
import zio.stm._

val emptyTArray: STM[Nothing, TArray[Int]] = TArray.empty[Int]

Or creating a TArray with specified values:

import zio._
import zio.stm._

val specifiedValuesTArray: STM[Nothing, TArray[Int]] = TArray.make(1, 2, 3)

Alternatively, you can create a TArray by providing a collection of values:

import zio._
import zio.stm._

val iterableTArray: STM[Nothing, TArray[Int]] = TArray.fromIterable(List(1, 2, 3))

Retrieve the value from a TArray​

The n-th element of the array can be obtained as follows:

import zio._
import zio.stm._

val tArrayGetElem: UIO[Int] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  elem   <- tArray(2)
} yield elem).commit

Accessing the non-existing indexes aborts the transaction with ArrayIndexOutOfBoundsException.

Update the value of a TArray​

Updating the n-th element of an array can be done as follows:

import zio._
import zio.stm._

val tArrayUpdateElem: UIO[TArray[Int]] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  _      <- tArray.update(2, el => el + 10)
} yield tArray).commit

Updating the n-th element of an array can be done effectfully via updateSTM:

import zio._
import zio.stm._

val tArrayUpdateMElem: UIO[TArray[Int]] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  _      <- tArray.updateSTM(2, el => STM.succeed(el + 10))
} yield tArray).commit

Updating the non-existing indexes aborts the transaction with ArrayIndexOutOfBoundsException.

Transform elements of a TArray​

The transform function A => A allows computing a new value for every element in the array: 

import zio._
import zio.stm._

val transformTArray: UIO[TArray[Int]] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  _      <- tArray.transform(a => a * a)
} yield tArray).commit

The elements can be mapped effectfully via transformSTM:

import zio._
import zio.stm._

val transformSTMTArray: UIO[TArray[Int]] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  _      <- tArray.transformSTM(a => STM.succeed(a * a))
} yield tArray).commit

Folds the elements of a TArray using the specified associative binary operator:

import zio._
import zio.stm._

val foldTArray: UIO[Int] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  sum    <- tArray.fold(0)(_ + _)
} yield sum).commit

The elements can be folded effectfully via foldSTM:

import zio._
import zio.stm._

val foldSTMTArray: UIO[Int] = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  sum    <- tArray.foldSTM(0)((acc, el) => STM.succeed(acc + el))
} yield sum).commit

Perform side-effect for TArray elements​

foreach is used for performing side-effect for each element in the array:

import zio._
import zio.stm._

val foreachTArray = (for {
  tArray <- TArray.make(1, 2, 3, 4)
  _      <- tArray.foreach(a => STM.succeed(println(a)))
} yield tArray).commit