Type Members

1.  type Sink[+E, +A0, -A, +B] = ZSink[Any, E, A0, A, B]
2.  type Stream[+E, +A] = ZStream[Any, E, A]
3.  type StreamChunk[+E, +A] = ZStreamChunk[Any, E, A]
4.  trait Stream_Functions extends AnyRef
5.  sealed trait Take[+E, +A] extends Product with Serializable

   A Take[E, A] represents a single take from a queue modeling a stream of values.

   A Take[E, A] represents a single take from a queue modeling a stream of values. A Take may be a failure cause Cause[E], an element value A or an end-of-stream marker.

6.  trait ZSink[-R, +E, +A0, -A, +B] extends AnyRef

   A Sink[E, A0, A, B] consumes values of type A, ultimately producing either an error of type E, or a value of type B together with a remainder of type A0.

   A Sink[E, A0, A, B] consumes values of type A, ultimately producing either an error of type E, or a value of type B together with a remainder of type A0.

   Sinks form monads and combine in the usual ways.

7.  trait ZSinkPlatformSpecific extends AnyRef
8.  trait ZStream[-R, +E, +A] extends Serializable

   A Stream[E, A] represents an effectful stream that can produce values of type A, or potentially fail with a value of type E.

   A Stream[E, A] represents an effectful stream that can produce values of type A, or potentially fail with a value of type E.

   Streams have a very similar API to Scala collections, making them immediately familiar to most developers. Unlike Scala collections, streams can be used on effectful streams of data, such as HTTP connections, files, and so forth.

   Streams do not leak resources. This guarantee holds in the presence of early termination (not all of a stream is consumed), failure, or even interruption.

   Thanks to only first-order types, appropriate variance annotations, and specialized effect type (ZIO), streams feature extremely good type inference and should almost never require specification of any type parameters.

9.  trait ZStreamChunk[-R, +E, +A] extends AnyRef

   A ZStreamChunk[R, E, A] represents an effectful stream that can produce values of type A, or potentially fail with a value of type E.

   A ZStreamChunk[R, E, A] represents an effectful stream that can produce values of type A, or potentially fail with a value of type E.

   ZStreamChunk differs from ZStream in that elements in the stream are processed in batches, which is orders of magnitude more efficient than dealing with each element individually.

   ZStreamChunk is particularly suited for situations where you are dealing with values of primitive types, e.g. those coming off a java.io.InputStream

10.  trait ZStreamPlatformSpecific extends AnyRef