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.  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.

5.  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.

6.  trait ZSinkPlatformSpecific extends AnyRef
7.  class 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.

   process is a low-level consumption method, usually used for creating combinators and constructors. For most usage, ZStream#fold, ZStream#foreach or ZStream#run should be preferred.

   The contract for the returned Pull is as follows: - It must not be evaluted concurrently from multiple fibers - it is (usually) not thread-safe; - If an evaluation of the Pull is interrupted, it is not safe to evaluate it again - it is (usually) not interruption-safe; - Once the Pull has failed with a None, it is not safe to evaluate it again.

   The managed Pull can be used to read from the stream until it is empty (or possibly forever, if the stream is infinite). The provided Pull is valid only inside the scope of the managed resource.

8.  class 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

9.  trait ZStreamPlatformSpecific extends AnyRef