Dealing with binary data
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That's it; it's otherwise the same as the <tt>Get</tt> monad.
That's it; it's otherwise the same as the <tt>Get</tt> monad.
If you have to deal with a protocol which isn't length prefixed, or otherwise
chunkable, from the network then you are faced with the problem of knowing when
you have enough data to parse something semantically useful. You could run a
strict <tt>Get</tt> over what you have and catch the truncation result, but
that means that you're parsing the data multiple times etc.
Instead, you can use an incremental parser. There's an incremental version of
the <tt>Get</tt> monad in <tt>Data.Binary.Strict.IncrementalGet</tt> (you'll
need the <tt>binary-strict</tt> package).
You use it as normal, but rather than returning an <tt>Either</tt> value, you
get a [http://hackage.haskell.org/packages/archive/binary-strict/0.2.4/doc/html/Data-Binary-Strict-IncrementalGet.html#t%3AResult Result]. You need to go follow that link and look at the documentation for <tt>Result</tt>.
It reflects the three outcomes of parsing possibly truncated data. Either the
data is invalid as is, or it's complete, or it's truncated. In the truncated
case you are given a function (called a continuation), to which you can pass
more data, when you get it, and continue the parse. The continuation, again,
returns a <tt>Result</tt> depending on the result of parsing the additional
data as well.
Revision as of 23:38, 2 February 2008
1 Handling Binary Data with Haskell
Many programming problems call for the use of binary formats for compactness, ease-of-use, compatibility or speed. This page quickly covers some common libraries for handling binary data in Haskell.
Everything else in this tutorial will be based on bytestrings. Normal Haskell
number of useful properties like coverage of the Unicode space and laziness,however when it comes to dealing with bytewise data,
involves a space-inflation of about 24x and a large reduction in speed.
Bytestrings are packed arrays of bytes or 8-bit chars. If you have experience
in C, their memory representation would be the same as a
uint8_t—although bytestrings know their length and don't allow overflows, etc.
There are two major flavours of bytestrings: strict and lazy. Strict bytestrings are exactly what you would expect—a linear array of bytes in memory. Lazy bytestrings are a list of strict bytestrings; often this is called a cord in other languages. When reading a lazy bytestring from a file, the data will be read chunk by chunk and the file can be larger than the size of memory. The default chunk size is currently 32K.
Within each flavour of bytestring comes the Word8 and Char8 versions. These are mostly an aid to the type system since they are fundamentally the same size ofelement. The Word8 unpacks as a list of
1.1.1 Simple file IO
Here's a very simple program which copies a file from standard input to standard output
module Main where import qualified Data.ByteString as B main :: IO () main = do contents <- B.getContents B.putStr contents
Note that we are using strict bytestrings here. (It's quite common to import the
ByteString module under the names
Since the bytestrings are strict, the code will read the whole of
memory and then write it out. If the input was too large this would overflow
the available memory and fail.
Let's see the same program using lazy bytestrings. We are just changing the imported ByteString module to be the lazy one and calling the exact same functions from the new module:
module Main where import qualified Data.ByteString.Lazy as BL main :: IO () main = do contents <- BL.getContents BL.putStr contents
This code, because of the lazy bytestrings, will cope with any sized input and will start producing output before all the input has been read. You can think of the code as setting up a pipeline, rather than executing in-order, as youmight expect. As
You should review the documentation
which lists all the functions which operate on ByteStrings. The documentation
for the various types (lazy Word8, strict Char8, ...) are all very similar. You
generally find the same functions in each, with the same names. Remember to
import the modules as
qualified and give them different names.
1.1.2 The guts of ByteStrings
I'll just mention in passing that sometimes you need to do something which would endanger the referential transparency of ByteStrings. Generally you only need to do this when using the FFI to interface with C libraries. Should such a need arise, you can have a look at the internal functions and the unsafe functions. Remember that the last set of functions are called unsafe for a reason—misuse can crash you program!
1.2 Binary parsing
Once you have your data as a bytestring you'll be wanting to parse something from it. Here you need to install the binary package. You should read the instructions on how to install a Cabal package if you haven't done so already.
The binary package has three major parts: the
Put monad and a general serialisation for Haskell types. The
latter is like the pickle module that you may know from Python—it
has its own serialisation format and I won't be covering it any more here.
However, if you just need to persist some Haskell data structures, it might be
exactly what you want: the documentation is
1.2.1 The Get monad
The Get monad is a state monad; it keeps some state and each action updates that state. The state in this case is an offset into the bytestring which is getting parsed. Get parses lazy bytestrings; this is how packages like tar can parse files several gigabytes long in constant memory: they are using a pipeline of lazy bytestrings. However, this also has a downside. When parsing a lazy bytestring a parse failure (such as running off the end of the bytestring) is signified by an exception. Exceptions can only be caught in the IO monad and, because of laziness, might not be thrown exactly where you expect. If this is a problem, you probably want a strict version of Get, which is covered below.
Here's an example of using the Get monad:
import qualified Data.ByteString.Lazy as BL import Data.Binary.Get import Data.Word deserialiseHeader :: Get (Word32, Word32, Word32) deserialiseHeader = do alen <- getWord32be plen <- getWord32be chksum <- getWord32be return (alen, plen, chksum) main :: IO () main = do input <- BL.getContents print $ runGet deserialiseHeader input
This code takes three big-endian, 32-bit unsigned numbers from the input string and returns them as a tuple. Let's try running it:
% runhaskell /tmp/example.hs << EOF heredoc> 123412341235 heredoc> EOF (825373492,825373492,825373493)
Makes sense, right? Look what happens if the input is too short:
% runhaskell /tmp/example.hs << EOF tooshort EOF (1953460083,1752134260,example.hs: too few bytes. Failed reading at byte position 12
Here an exception was thrown because we ran out of bytes.
So the Get monad consists of a set of operations like
data. You can see the full list of those functions in the documentation.
Here's another example; decoding an EOF-terminated list of numbers just involves recursion:
listOfWord16 = do empty <- isEmpty if empty then return  else do v <- getWord64be rest <- listOfWord16 return (v : rest)
1.2.2 Strict Get monad
If you're parsing small messages then, firstly your input isn't going to be a lazy bytestring but a strict one. That's not reallly a problem because you can easilly convert between them. However, if you want to handle parse failures you either have to write your parser very carefully, or you have to deal with the fact that you can only catch exceptions in the IO monad.
If this is your dilemma, then you need a strict version of the Getmonad. It's almost exactly the same, but a parser of type
string (an error string from the parse) or the result, and the second value is the remaining bytestring when the parser finished.
Let's update the first example with this strict version of Get. You'll have to install the binary-strict package for it to work.
import qualified Data.ByteString as B import Data.Binary.Strict.Get import Data.Word deserialiseHeader :: Get (Word32, Word32, Word32) deserialiseHeader = do alen <- getWord32be plen <- getWord32be chksum <- getWord32be return (alen, plen, chksum) main :: IO () main = do input <- B.getContents print $ runGet deserialiseHeader input
Note that all we're done is change from lazy bytestrings to strict bytestrings and change to importing Data.Binary.Strict.Get. Now we'll run it again:
% runhaskell /tmp/example.hs << EOF heredoc> 123412341235 heredoc> EOF (Right (825373492,825373492,825373493),"\n")
Now we can see that the parser was successful (we got a Right) and we can see that our shell actually added an extra newline on the input (correctly) and the parser didn't consume that, so it's also returned to us. Now we try it with a truncated input:
% runhaskell /tmp/example.hs << EOF heredoc> tooshort heredoc> EOF (Left "too few bytes","\n")
This time we didn't get an exception, but a Left value, which can be handled in pure code. The remaining bytestring is the same because our truncated input is 9 bytes long, parsing the first two Word32's consumed 8 bytes and parsing the third failed—at which point we had the last byte still in the input.In your parser, you can also call
which will result in a Left value.
That's it; it's otherwise the same as the Get monad.
1.2.3 Incremental parsing
If you have to deal with a protocol which isn't length prefixed, or otherwise chunkable, from the network then you are faced with the problem of knowing when you have enough data to parse something semantically useful. You could run a strict Get over what you have and catch the truncation result, but that means that you're parsing the data multiple times etc.
Instead, you can use an incremental parser. There's an incremental version of the Get monad in Data.Binary.Strict.IncrementalGet (you'll need the binary-strict package).
You use it as normal, but rather than returning an Either value, you get a Result. You need to go follow that link and look at the documentation for Result.
It reflects the three outcomes of parsing possibly truncated data. Either the data is invalid as is, or it's complete, or it's truncated. In the truncated case you are given a function (called a continuation), to which you can pass more data, when you get it, and continue the parse. The continuation, again, returns a Result depending on the result of parsing the additional data as well.
1.2.4 Bit twiddling
Even with all this monadic goodness, sometimes you just need to move some bits around. That's perfectly possible in Haskell too. Just import Data.Bits and use the following table.
1.2.5 The BitGet monad
As an alternative to bit twiddling, you can also use the BitGet monad. This is another state-like monad, like Get, but here the state includes the current bit-offset in the input. This means that you can easily pull out unaligned data. Sadly, haddock is currently breaking when trying to generate the documentation for BitGet so I'll start with an example. Again, you'll need the binary-strict package installed.
Here's a description of the header of a DNS packet, direct from RFC 1035:
1 1 1 1 1 1 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | ID | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ |QR| Opcode |AA|TC|RD|RA| Z | RCODE | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | QDCOUNT | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | ANCOUNT | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | NSCOUNT | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+ | ARCOUNT | +--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
The actual fields don't matter, but here's a function for parsing it:
parseHeader :: G.Get Header parseHeader = do id <- G.getWord16be flags <- G.getByteString 2 qdcount <- G.getWord16be >>= return . fromIntegral ancount <- G.getWord16be >>= return . fromIntegral nscount <- G.getWord16be >>= return . fromIntegral arcount <- G.getWord16be >>= return . fromIntegral let r = BG.runBitGet flags (do isquery <- BG.getBit opcode <- BG.getAsWord8 4 >>= parseEnum aa <- BG.getBit tc <- BG.getBit rd <- BG.getBit ra <- BG.getBit BG.getAsWord8 3 rcode <- BG.getAsWord8 4 >>= parseEnum return $ Header id isquery opcode aa tc rd ra rcode qdcount ancount nscount arcount) case r of Left error -> fail error Right x -> return x
Here you can see that only the second line (from the ASCII-art diagram) is parsed using BitGet. An outer Get monad is used for everything else and the bit fields are pulled out with
returns an Either, but it doesn't return the remaining bytestring, just because there's no obvious way to represent a bytestring of a fractional number of bytes.
You can see the list of BitGet functions and their comments in the source code.
1.3 Binary generation
In contrast to parsing binary data, you might want to generate it. This is the job of the Put monad. Follow along with the documentation if you like.
The Put monad is another state-like monad, but the state is an offset into a series of buffers where the generated data is placed. All the buffer creation and handling is done for you, so you can just forget about it. It results in a lazy bytestring (so you can generate outputs that are larger than memory).
Here's the reverse of our simple Get example:
import qualified Data.ByteString.Lazy as BL import Data.Binary.Put serialiseSomething :: Put serialiseSomething = do putWord32be 1 putWord16be 2 putWord8 3 main :: IO () main = BL.putStr $ runPut serialiseSomething
And running it shows that it's generating the correct serialisation:
% runhaskell /tmp/example.hs| hexdump -C 00000000 00 00 00 01 00 02 03 |.......|
If you want the output of runPut to be a strict bytestring, you justneed to convert it with
One limitation of Put, due to the nature of the Builder monad which it works with, is that you can't get the current offset into the output. This can be an issue with some formats which require you to encode byte offsets into the file. You have to calculate these byte offsets yourself.
1.4 Other useful packages
There are other packages which you should know about, but which are mostly covered by their documentation: