streaming-bytestring

Version 0.1.3.0 revision 0 uploaded 2015-12-03T18:07:05.000Z by MichaelThompson.

Package meta

Synopsis

effectful byte steams, or: bytestring io done right.

Description

This is an implementation of effectful, memory-constrained bytestrings (byte streams) and functions for streaming bytestring manipulation, adequate for non-lazy-io.

Interoperation with pipes uses this isomorphism:

Streaming.unfoldrChunks Pipes.next :: Monad m => Producer ByteString m r -> ByteString m r
Pipes.unfoldr Streaming.nextChunk  :: Monad m => ByteString m r -> Producer ByteString m r

Interoperation with io-streams is thus:

IOStreams.unfoldM Streaming.unconsChunk :: ByteString IO () -> IO (InputStream ByteString)
Streaming.reread IOStreams.read         :: InputStream ByteString -> ByteString IO ()

and similarly for other rational streaming io libraries.

Problems and questions about the library can be put as issues on the github page, or mailed to the pipes list.

A tutorial module is in the works; here, for the moment, is a sequence of simplified implementations of familiar shell utilities. The same programs are implemented at the end of the excellent io-streams tutorial. It is generally much simpler; in some case simpler than what you would write with lazy bytestrings. Here is a simple GET request that returns a byte stream.

The implementation is idiot-simple; it follows the details of Data.ByteString.Lazy and Data.ByteString.Lazy.Char8 as far as is possible, replacing the lazy bytestring type:

data ByteString     = Empty   | Chunk Strict.ByteString ByteString

with the minimal effectful variant:

data ByteString m r = Empty r | Chunk Strict.ByteString (ByteString m r) | Go (m (ByteString m r))

(Constructors are necessarily hidden in internal modules in both cases.)

That's it. As a lazy bytestring is implemented internally by a sort of list of strict bytestring chunks, a streaming bytestring is simply implemented as a producer or generator of strict bytestring chunks. Most operations are defined by simply adding a line to what we find in Data.ByteString.Lazy.

Something like this alteration of type is of course obvious and mechanical, once the idea of an effectful bytestring type is contemplated and lazy io is rejected. Indeed it seems that this is the proper expression of what was intended by lazy bytestrings to begin with. The documentation, after all, reads

• "A key feature of lazy ByteStrings is the means to manipulate large or unbounded streams of data without requiring the entire sequence to be resident in memory. To take advantage of this you have to write your functions in a lazy streaming style, e.g. classic pipeline composition. The default I/O chunk size is 32k, which should be good in most circumstances."

... which is very much the idea of this library: the default chunk size for hGetContents and the like follows Data.ByteString.Lazy and operations like lines and append and so on are tailored not to increase chunk size.

The present library is thus nothing but lazy bytestring done right. The authors of Data.ByteString.Lazy must have supposed that the directly monadic formulation of such their type would necessarily make things slower. This appears to be a prejudice. For example, passing a large file of short lines through this benchmark transformation

Lazy.unlines      . map    (\bs -> "!"       <> Lazy.drop 5 bs)       . Lazy.lines
Streaming.unlines . S.maps (\bs -> chunk "!" >> Streaming.drop 5 bs)  . Streaming.lines

gives pleasing results like these

$  time ./benchlines lazy >> /dev/null
real	0m2.097s
...
$  time ./benchlines streaming >> /dev/null
real	0m1.930s

For a more sophisticated operation like

Lazy.intercalate "!\n"      . Lazy.lines
Streaming.intercalate "!\n" . Streaming.lines

we get results like these:

time ./benchlines lazy >> /dev/null
real	0m1.250s
...
time ./benchlines streaming >> /dev/null
real	0m1.531s

The pipes environment would express the latter as

Pipes.intercalates (Pipes.yield "!\n") . view Pipes.lines

meaning almost exactly what we mean above, but with results like this

 time ./benchlines pipes >> /dev/null
 real	0m6.353s

The difference, however, is emphatically not intrinsic to pipes; it is just that this library depends the streaming library, which is used in place of free to express the "perfectly streaming" splitting and iterated division or "chunking" of byte streams.

These concepts belong to the ABCs of streaming; lines is just a textbook example, and it is of course handled correctly in Data.ByteString.Lazy. But the concepts are catastrophically mishandled in the streaming io libraries other than pipes. Already the enumerator and iteratee libraries were completely defeated by lines: see e.g. the enumerator implementation of splitWhen and lines. This will concatenate strict text forever, if that's what is coming in. The rot spreads from there. It is just a fact that in all of the general streaming io frameworks other than pipes, it becomes torture to express elementary distinctions that are transparently and immediately contained in any idea of streaming whatsoever.

Though we barely alter signatures in Data.ByteString.Lazy more than is required by the types, the point of view that emerges is very much that of pipes-bytestring and pipes-group. In particular we have these correspondences:

Lazy.splitAt      :: Int -> ByteString              -> (ByteString, ByteString)
Streaming.splitAt :: Int -> ByteString m r          -> ByteString m (ByteString m r)
Pipes.splitAt     :: Int -> Producer ByteString m r -> Producer ByteString m (Producer ByteString m r)

and

Lazy.lines      :: ByteString -> [ByteString]
Streaming.lines :: ByteString m r -> Stream (ByteString m) m r
Pipes.lines     :: Producer ByteString m r -> FreeT (Producer ByteString m) m r

where the Stream type expresses the sequencing of ByteString m _ layers with the usual 'free monad' sequencing.

If you are unfamiliar with this way of structuring material you might take a look at the tutorial for pipes-group and the examples in the documentation for the streaming library. See also simple implementations of the shell-like examples mentioned above. Or, again, put a question on the issues page or to the pipes list.

Author

michaelt

Bug reports

https://github.com/michaelt/streaming-bytestring/issues

Category

Data, Pipes, Streaming

Copyright

n/a

Homepage

https://github.com/michaelt/streaming-bytestring

Maintainer

what_is_it_to_do_anything@yahoo.com

Package URL

n/a

Stability

Experimental

Components

• lib:streaming-bytestring