Deprecated
Typical buffer–based incremental I/O is based around a single loop,
which reads data from some source (such as a socket or file), transforms
it, and generates one or more outputs (such as a line count, HTTP
responses, or modified file). Although efficient and safe, these loops are
all single–purpose; it is difficult or impossible to compose
buffer–based processing loops.
Haskell’s concept of “lazy I/O” allows pure code to
operate on data from an external source. However, lazy I/O has several
shortcomings. Most notably, resources such as memory and file handles can
be retained for arbitrarily long periods of time, causing unpredictable
performance and error conditions.
Enumerators are an efficient, predictable, and safe alternative to lazy
I/O. Discovered by Oleg Kiselyov, they allow large datasets to be processed
in near–constant space by pure code. Although somewhat more complex
to write, using enumerators instead of lazy I/O produces more correct
programs.
This library contains an enumerator implementation for Haskell, designed to
be both simple and efficient. Three core types are defined, along with
numerous helper functions:
Iteratee: Data sinks, analogous to left folds. Iteratees consume
a sequence of input values, and generate a single output value.
Many iteratees are designed to perform side effects (such as printing to
stdout), so they can also be used as monad transformers.
Enumerator: Data sources, which generate input sequences. Typical
enumerators read from a file handle, socket, random number generator, or
other external stream. To operate, enumerators are passed an iteratee, and
provide that iteratee with input until either the iteratee has completed its
computation, or EOF.
Enumeratee: Data transformers, which operate as both enumerators and
iteratees. Enumeratees read from an outer enumerator, and provide the
transformed data to an inner iteratee.