object Batch extends Serializable
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- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- final def ==(arg0: Any): Boolean
- Definition Classes
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- def apply[A](elems: A*): Batch[A]
Given a list of elements, builds an array-backed Batch out of it.
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def booleans(array: Array[Boolean], offset: Int, length: Int): BooleansBatch
Returns a Batch specialized for
Boolean.Returns a Batch specialized for
Boolean.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def booleans(array: Array[Boolean]): BooleansBatch
Returns a Batch specialized for
Boolean.Returns a Batch specialized for
Boolean.- array
is the underlying reference to use for traversing and transformations
- def bytes(array: Array[Byte], offset: Int, length: Int): BytesBatch
Returns a Batch specialized for
Byte.Returns a Batch specialized for
Byte.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def bytes(array: Array[Byte]): BytesBatch
Returns a Batch specialized for
Byte.Returns a Batch specialized for
Byte.- array
is the underlying reference to use for traversing and transformations
- def chars(array: Array[Char], offset: Int, length: Int): CharsBatch
Returns a Batch specialized for
Char.Returns a Batch specialized for
Char.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def chars(array: Array[Char]): CharsBatch
Returns a Batch specialized for
Char.Returns a Batch specialized for
Char.- array
is the underlying reference to use for traversing and transformations
- def clone(): AnyRef
- Attributes
- protected[lang]
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- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def doubles(array: Array[Double], offset: Int, length: Int): DoublesBatch
Returns a Batch specialized for
Double.Returns a Batch specialized for
Double.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def doubles(array: Array[Double]): DoublesBatch
Returns a Batch specialized for
Double.Returns a Batch specialized for
Double.- array
is the underlying reference to use for traversing and transformations
- def empty[A]: Batch[A]
Returns an empty generator instance.
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
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- def equals(arg0: AnyRef): Boolean
- Definition Classes
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- def fromArray[A](array: Array[A], offset: Int, length: Int): ArrayBatch[A]
Builds a Batch from a standard
Array, with strict semantics on transformations.Builds a Batch from a standard
Array, with strict semantics on transformations.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def fromArray[A](array: Array[A]): ArrayBatch[A]
Builds a Batch from a standard
Array, with strict semantics on transformations.Builds a Batch from a standard
Array, with strict semantics on transformations.- array
is the underlying reference to use for traversing and transformations
- def fromIndexedSeq[A](seq: IndexedSeq[A]): Batch[A]
Builds a Batch from a Scala
IndexedSeq, with strict semantics on transformations. - def fromIterable[A](iter: Iterable[A], recommendedBatchSize: Int): Batch[A]
Converts a Scala Iterable into a Batch.
- recommendedBatchSize
specifies the BatchCursor.recommendedBatchSize for the generated
BatchCursorinstances of thisBatch, specifying the batch size when doing eager processing.
- def fromIterable[A](iter: Iterable[A]): Batch[A]
- def fromSeq[A](seq: Seq[A], recommendedBatchSize: Int): Batch[A]
Builds a Batch from a Scala
Seq, with lazy semantics on transformations. - def fromSeq[A](seq: Seq[A]): Batch[A]
Builds a Batch from a Scala
Seq, with lazy semantics on transformations. - final def getClass(): Class[_ <: AnyRef]
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def integers(array: Array[Int]): IntegersBatch
Returns a Batch specialized for
Int.Returns a Batch specialized for
Int.- array
is the underlying reference to use for traversing and transformations
- def integers(array: Array[Int], offset: Int, length: Int): IntegersBatch
Returns a Batch specialized for
Int.Returns a Batch specialized for
Int.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def longs(array: Array[Long], offset: Int, length: Int): LongsBatch
Returns a Batch specialized for
Long.Returns a Batch specialized for
Long.- array
is the underlying reference to use for traversing and transformations
- offset
is the offset to start from, which would have been zero by default
- length
is the length of created cursor, which would have been
array.lengthby default
- def longs(array: Array[Long]): LongsBatch
Returns a Batch specialized for
Long.Returns a Batch specialized for
Long.- array
is the underlying reference to use for traversing and transformations
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def range(from: Int, until: Int, step: Int = 1): Batch[Int]
A generator producing equally spaced values in some integer interval.
A generator producing equally spaced values in some integer interval.
- from
the start value of the generator
- until
the end value of the generator (the first value NOT returned)
- step
the increment value of the generator (must be positive or negative)
- returns
the generator producing values
from, from + step, ...up to, but excludingend
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def toString(): String
- Definition Classes
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- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
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- 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:
Atomictypes, as alternative tojava.util.concurrent.atomicmonix.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
Observablepattern:Observableimplementationsmonix.tail exposes Iterant for purely functional pull based streaming:
BatchandBatchCursor, the alternatives to Scala'sIterableandIteratorrespectively 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.