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Version: ZIO 2.x


A Chunk[A] represents a chunk of values of type A. Chunks are usually backed by arrays, but expose a purely functional, safe interface to the underlying elements, and they become lazy on operations that would be costly with arrays, such as repeated concatenation.

Why Chunk?#

Arrays are fast and don’t box primitive values. ZIO Chunk is a wrapper on Java array. So also Chunks have zero boxing for primitives, but due to ClassTag requirements and mutability, they are painful to use and don’t integrate well into functional code.

Lets to get more details behind why Chunk invented:


In Scala, there is no immutable data type that can efficiently represent primitive data types. There is Array, but Array is a mutable interface. The Array data type can efficiently represent primitives without boxing but only by exposing some unsafe mutable methods like update.

Ergonomic Design#

Every time, when we create an array of generic types in Scala, we need a ClassTag to provide runtime information about that generic type, which is very inconvenient and isn't ergonomic. It leads us to a very cumbersome API.

Chunk does not have the inconvenience of Array in Scala. Chunk dispenses with the need to have ClassTags. It utilizes a different approach to solve that problem.

High Performance#

In addition to being an immutable array and zero boxing of Chunks that leads us to a high performant data type, Chunk has specialized operations for things like appending a single element or concatenating two Chunks together which have significantly higher performance than doing these same operations on the Array. Many Chunk methods have been handwritten to achieve better performance than their corresponding Array implementations in the Scala standard library.

Although Chunk is a common data type in ZIO, it exists primarily to support streaming use cases.

When we are doing data streaming, a lot of times the source stream is a stream of bytes. Hence, internally we use a Chunk of bytes to represent that, so we don't have to box the bytes. Of course, it can be utilized for Chunks of Ints and many other types. Using Chunk is especially common when we are encoding and decoding at the level of streams. It is a very efficient, high-performance data type.


Creating a Chunk#

Creating empty Chunk:

val emptyChunk = Chunk.empty

Creating a Chunk with specified values:

val specifiedValuesChunk = Chunk(1,2,3)// specifiedValuesChunk: Chunk[Int] = IndexedSeq(1, 2, 3)

Alternatively, we can create a Chunk by providing a collection of values:

val fromIterableChunk: Chunk[Int] = Chunk.fromIterable(List(1, 2, 3))// fromIterableChunk: Chunk[Int] = IndexedSeq(1, 2, 3)val fromArrayChunk: Chunk[Int] = Chunk.fromArray(Array(1, 2, 3))// fromArrayChunk: Chunk[Int] = IndexedSeq(1, 2, 3)

Creating a Chunk using filling same n element into it:

val chunk: Chunk[Int] = Chunk.fill(3)(0)// chunk: Chunk[Int] = IndexedSeq(0, 0, 0)

Creating a Chunk using unfold method by repeatedly applying the given function, as long as it returns Some:

val unfolded = Chunk.unfold(0)(n => if (n < 8) Some((n*2, n+2)) else None)// unfolded: Chunk[Int] = IndexedSeq(0, 4, 8, 12)

Concatenating chunk#

++ Returns the concatenation of this chunk with the specified chunk. For example:

Chunk(1,2,3) ++ Chunk(4,5,6)// res0: Chunk[Int] = IndexedSeq(1, 2, 3, 4, 5, 6)

Collecting chunk#

collect Returns a filtered, mapped subset of the elements of this chunk. How to use collect function to cherry-pick all strings from Chunk[A]:

val collectChunk = Chunk("Hello ZIO", 1.5, "Hello ZIO NIO", 2.0, "Some string", 2.5)// collectChunk: Chunk[Any] = IndexedSeq(//   "Hello ZIO",//   1.5,//   "Hello ZIO NIO",//   2.0,//   "Some string",//   2.5// )
collectChunk.collect { case string: String => string }// res1: Chunk[String] = IndexedSeq(//   "Hello ZIO",//   "Hello ZIO NIO",//   "Some string"// )

How to use collect function to cherry-pick all the digits from Chunk[A]:

collectChunk.collect { case digit: Double => digit }// res2: Chunk[Double] = IndexedSeq(1.5, 2.0, 2.5)

collectWhile collects the elements (from left to right) until the predicate returns "false" for the first time:

Chunk("Sarah", "Bob", "Jane").collectWhile { case element if element != "Bob" => true }// res3: Chunk[Boolean] = IndexedSeq(true)

or another example:

Chunk(9, 2, 5, 1, 6).collectWhile { case element if element >= 2 => true }// res4: Chunk[Boolean] = IndexedSeq(true, true, true)

Dropping chunk#

drop drops the first n elements of the chunk:

Chunk("Sarah", "Bob", "Jane").drop(1)// res5: Chunk[String] = IndexedSeq("Bob", "Jane")

dropWhile drops all elements so long as the predicate returns true:

Chunk(9, 2, 5, 1, 6).dropWhile(_ >= 2)// res6: Chunk[Int] = IndexedSeq(1, 6)

Comparing chunks#

Chunk("A","B") == Chunk("A", "C")// res7: Boolean = false

Converting chunks#

toArray converts the chunk into an Array.


toSeqconverts the chunk into Seq.