final class ArrayBatch[A] extends Batch[A]
Batch implementation that wraps an array, based on ArrayCursor.
- Source
- ArrayBatch.scala
- Alphabetic
- By Inheritance
- ArrayBatch
- Batch
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Instance Constructors
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def collect[B](pf: PartialFunction[A, B]): ArrayBatch[B]
Creates a generator by transforming values produced by the source with a partial function, dropping those values for which the partial function is not defined.
Creates a generator by transforming values produced by the source with a partial function, dropping those values for which the partial function is not defined.
- pf
the partial function which filters and maps the generator.
- returns
a new generator which yields each value
x
produced by this generator for whichpf
is defined
- Definition Classes
- ArrayBatch → Batch
- def cursor(): ArrayCursor[A]
- Definition Classes
- ArrayBatch → Batch
- def drop(n: Int): ArrayBatch[A]
Creates a new generator from the source, with the first
n
elements dropped, of ifn
is higher than the length of the underlying collection, the it mirrors the source, whichever applies.Creates a new generator from the source, with the first
n
elements dropped, of ifn
is higher than the length of the underlying collection, the it mirrors the source, whichever applies.- Definition Classes
- ArrayBatch → Batch
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- def filter(p: (A) => Boolean): ArrayBatch[A]
Returns a generator over all the elements of the source that satisfy the predicate
p
.Returns a generator over all the elements of the source that satisfy the predicate
p
. The order of the elements is preserved.- p
the predicate used to test values.
- returns
a generator which produces those values of the source which satisfy the predicate
p
.
- Definition Classes
- ArrayBatch → Batch
- def foldLeft[R](initial: R)(op: (R, A) => R): R
Applies a binary operator to a start value and all elements of this generator, going left to right.
Applies a binary operator to a start value and all elements of this generator, going left to right.
- R
is the result type of the binary operator.
- initial
is the start value.
- op
the binary operator to apply
- returns
the result of inserting
op
between consecutive elements of this generator, going left to right with the start valueinitial
on the left. Returnsinitial
if the generator is empty.
- Definition Classes
- ArrayBatch → Batch
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def map[B](f: (A) => B): ArrayBatch[B]
Creates a new generator that maps all values produced by the source to new values using a transformation function.
Creates a new generator that maps all values produced by the source to new values using a transformation function.
- f
is the transformation function
- returns
a new generator which transforms every value produced by the source by applying the function
f
to it.
- Definition Classes
- ArrayBatch → Batch
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def slice(from: Int, until: Int): ArrayBatch[A]
Creates a new generator emitting an interval of the values produced by the source.
Creates a new generator emitting an interval of the values produced by the source.
- from
the index of the first generated element which forms part of the slice.
- until
the index of the first element following the slice.
- returns
a generator which emits the element of the source past the first
from
elements usingdrop
, and then takesuntil - from
elements, usingtake
- Definition Classes
- ArrayBatch → Batch
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def take(n: Int): ArrayBatch[A]
Creates a new generator that will only return the first
n
elements of the source.Creates a new generator that will only return the first
n
elements of the source.- Definition Classes
- ArrayBatch → Batch
- def toArray[B >: A](implicit arg0: ClassTag[B]): Array[B]
Converts this generator into a standard
Array
.Converts this generator into a standard
Array
.- Definition Classes
- Batch
- def toIterable: Iterable[A]
Converts this generator into a Scala
Iterable
.Converts this generator into a Scala
Iterable
.- Definition Classes
- Batch
- def toList: List[A]
Converts this generator into a Scala immutable
List
.Converts this generator into a Scala immutable
List
.- Definition Classes
- Batch
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
This is the API documentation for the Monix library.
Package Overview
monix.execution exposes lower level primitives for dealing with asynchronous execution:
Atomic
types, as alternative tojava.util.concurrent.atomic
monix.catnap exposes pure abstractions built on top of the Cats-Effect type classes:
monix.eval is for dealing with evaluation of results, thus exposing Task and Coeval.
monix.reactive exposes the
Observable
pattern:Observable
implementationsmonix.tail exposes Iterant for purely functional pull based streaming:
Batch
andBatchCursor
, the alternatives to Scala'sIterable
andIterator
respectively that we are using within Iterant's encodingYou can control evaluation with type you choose - be it Task, Coeval, cats.effect.IO or your own as long as you provide correct cats-effect or cats typeclass instance.