MessagePack for D MessagePack is a binary-based JSON-like serialization library. MessagePack for D is a pure D implementation of MessagePack. Features. Small size and High performance. Zero copy serialization / deserialization. Streaming deserializer for non-contiguous IO situation. Supports D features (Ranges, Tuples, real type) Note: The real type is only supported in D.

• Scala Serialize Object To Byte Array

Don't use the real type when communicating with other programming languages. Note that Unpacker will raise an exception if a loss of precision occurs. Current Limitations.

No circular references support. If you want to use the LDC compiler, you need at least version 0.15.2 beta2 Install Use dub to add it as a dependency. MessagePack for Python What's this is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. This package provides CPython bindings for reading and writing MessagePack data. Install $ pip install msgpack-python PyPy msgpack-python provides a pure Python implementation.

PyPy can use this. Windows When you can't use a binary distribution, you need to install Visual Studio or Windows SDK on Windows. Without extension, using pure Python implementation on CPython runs slowly.

This task is about arrays. For hashes or associative arrays, please see Creating an Associative Array. For a definition and in-depth discussion of what an array is.

For Python 2.7, is recommended solution. For Python 3.5, Community Edition or Express Edition can be used to build extension module. How to use One-shot pack & unpack Use packb for packing and unpackb for unpacking. Msgpack provides dumps and loads as an alias for compatibility with json and pickle. Pack and dump packs to a file-like object. Unpack and load unpacks from a file-like object. import msgpack import array def default( obj).

If isinstance(obj, array.array) and obj.typecode 'd '. Return msgpack.ExtType( 42, obj.tostring).

Raise TypeError( 'Unknown type:%r '% (obj,)). def exthook( code, data).

If code 42. A = array.array( 'd '). Return ExtType(code, data). data = array.array( 'd '1.2, 3.4) packed = msgpack.packb(data, default =default) unpacked = msgpack.unpackb(packed, exthook =exthook) data unpacked True Advanced unpacking control As an alternative to iteration, Unpacker objects provide unpack, skip, readarrayheader and readmapheader methods.

The former two read an entire message from the stream, respectively de-serialising and returning the result, or ignoring it. The latter two methods return the number of elements in the upcoming container, so that each element in an array, or key-value pair in a map, can be unpacked or skipped individually. Each of these methods may optionally write the packed data it reads to a callback function. From io import BytesIO def distribute( unpacker, getworker): nelems = unpacker.readmapheader for i in range(nelems): # Select a worker for the given key key = unpacker.unpack worker = getworker(key) # Send the value as a packed message to worker bytestream = BytesIO unpacker.skip(bytestream.write) worker.send(bytestream.getvalue) Notes string and binary type Early versions of msgpack didn't distinguish string and binary types (like Python 1). The type for representing both string and binary types was named raw.

For backward compatibility reasons, msgpack-python will still default all strings to byte strings, unless you specify the usebintype=True option in the packer. If you do so, it will use a non-standard type called bin to serialize byte arrays, and raw becomes to mean str. If you want to distinguish bin and raw in the unpacker, specify encoding='utf-8'. Note that Python 2 defaults to byte-arrays over Unicode strings. import msgpack packed = msgpack.packb(msgpack.ExtType( 42, b 'xyzzy ')) msgpack.unpackb(packed) ExtType(code=42, data='xyzzy') You can use it with default and exthook. Note for msgpack-python 0.2.x users The msgpack-python release 0.3 has some incompatible changes. The default value of uselist keyword argument is True from 0.3.

You should pass the argument explicitly for backward compatibility. Unpacker.unpack and some unpack methods now raises OutOfData instead of StopIteration. StopIteration is used for iterator protocol only. Note about performance GC CPython's GC starts when growing allocated object. This means unpacking may cause useless GC. You can use gc.disable when unpacking large message.

Uselist option List is the default sequence type of Python. But tuple is lighter than list. You can use uselist=False while unpacking when performance is important. Python's dict can't use list as key and MessagePack allows array for key of mapping.

Uselist=False allows unpacking such message. Another way to unpacking such object is using objectpairshook. Development Test MessagePack uses pytest for testing. Run test with following command: $ py.test. MessagePack for Scala. Message Pack specification: Quick Start libraryDependencies += 'org.msgpack'%% 'msgpack-scala'% '(version)' General usage is the same with msgpack-java. MessagePack for CLI What is it?

This is MessagePack serialization/deserialization for CLI (Common Language Infrastructure) implementations such as.NET Framework, Silverlight, Mono (including Moonlight.) This library can be used from ALL CLS compliant languages such as C#, F#, Visual Basic, Iron Python, Iron Ruby, PowerShell, C/CLI or so. Usage You can serialize/deserialize objects as following:. Create serializer via MessagePackSerializer.Create generic method. This method creates dependent types serializers as well. Invoke serializer as following:. Pack method with destination Stream and target object for serialization. Unpack method with source Stream.

' Creates serializer. Dim serializer = SerializationContext.Default.GetSerializer( Of T) ' Pack obj to stream. Serializer.Pack(stream, obj) ' Unpack from stream. Dim unpackedObject = serializer.Unpack(stream) Features. Fast and interoperable binary format serialization with simple API.

Generating pre-compiled assembly for rapid start up. Flexible MessagePackObject which represents MessagePack type system naturally.

Documentation See Installation. Binary files distributed via the NuGet package. You can extract binary (DLL) file as following:. Download.zip file from. Extract it.

Under the bin directory, binaries are there!. For mono, you can use net461 or net35 drops as you run with.

For Unity, unity3d drop is suitable. How to build For.NET Framework. Install Visual Studio 2017 (Community edition is OK) and 2015 (for MsgPack.Windows.sln). You must install.NET Framework 3.5, 4.x,.NET Core, and Xamarin dev tools to build all builds successfully.

If you do not want to install options, edit element in.csproj files to exclude platforms you want to exclude. Install latest.NET Core SDK. Run with Visual Studio Developer Command Prompt: msbuild MsgPack.sln /t:Restore msbuild MsgPack.sln Or (for Unity 3D drops): msbuild MsgPack.compats.sln /t:Restore msbuild MsgPack.compats.sln Or (for Windows Runtime/Phone drops and Silverlight 5 drops): msbuild MsgPack.Windows.sln /t:Restore msbuild MsgPack.Windows.sln Or (for Xamarin unit testing, you must have Xamarin Business or upper license and Mac machine on the LAN to build on Windows): msbuild MsgPack.Xamarin.sln /t:Restore msbuild MsgPack.Xamarin.sln Or open one of above solution files in your IDE and run build command in it. For Mono. Install latest Mono and.NET Core SDK. Now, you can build MsgPack.sln and MsgPack.Xamarin.sln with above instructions and msbuild in latest Mono. Note that xbuild does not work because it does not support latest csproj format.

Own Unity 3D Build First of all, there are binary drops on github release page, you should use it to save your time. Because we will not guarantee source code organization compatibilities, we might add/remove non-public types or members, which should break source code build. If you want to import sources, you must include just only described on MsgPack.Unity3D.csproj. If you want to use '.NET 2.0 Subset' settings, you must use just only described on MsgPack.Unity3D.CorLibOnly.csproj file, and define CORLIBONLY compiler constants. See also. GitHub Page:.

Wiki (documentation):. API Reference:. Issue tracker:. MSBuild reference:. Mono xbuild reference.

Msgpack for PHP This extension provide API for communicating with MessagePack serialization. MessagePack is a binary-based efficient object serialization library.

It enables to exchange structured objects between many languages like JSON. But unlike JSON, it is very fast and small. Requirement.

PHP 5.0 + Install Install from PECL Msgpack is an PECL extension, thus you can simply install it by: pecl install msgpack Compile Msgpack from source $/path/to/phpize $./configure $make && make install Example. MessagePack for R6RS Scheme This is an implementation of for R6RS Scheme. API references Function (pack! Bv message) Function (pack!

Bv message offset) Pack message to message pack format bytevector and put it into the bv destructively. Given bv must have enough length to hold the message. Optional argument offset indicates where to start with, default is 0.

Function (pack message) The same as pack! But this one creates a new bytevector. Function (pack-size message) Calculate the converted message size. Function (unpack bv) Function (unpack bv offset) Unpack the given message format bytevector to Scheme object. Optional argument offset indicates where to start with, default is 0.

Function (get-unpack in) Unpack the given binary input port to Scheme object. Conversion rules As you already know, Scheme doesn't have static types so the conversion of Scheme objects to message pack data might cause unexpected results. To avoid it, I will describe how conversion works. Scheme to message pack Integer conversion The library automatically decides proper size.

More specifically, if it can fit to message pack's fixnum then library uses it, so are uint8-64. If the number is too big, then an error is raised. Users must know it tries to use uint as much as possible. If the given number was negative then sint will be used. Floating point conversion Unfortunately R6RS doesn't have difference between float and double. So when flonum is given then it always converts to double number.

Collection conversion Message pack has collections which are map and array. And these are associated with alist (association list) and vector respectively.

When you want to convert alist to message pack data, then you need to make sure the cdr part will be the data and if you put (('key' 'value)) then it will be converted to nested map. The collection size calculation is done automatically.

It tries to use the smallest size. Message pack to Scheme The other way around is easy, it can simply restore the byte data to Scheme object. Following describes the conversion rules; Positive fixnum - integer Negative fixnum - integer uint8, uint16, uint32, uint64 - integer sint8, sint16, sint32, sint64 - integer Map - alist Array - vector fixstr, str8, str16, str32 - string bit8, bit16, bit32 - bytevector Tested Scheme implementations Your contributions are always welcome. TODO. More testing. Extended type handling.

Msgpax This library provides an API for serializing and de-serializing Elixir terms using the format. Features. Packing and unpacking Elixir terms via and (and their! Bang variants). Unpacking of partial slices of MessagePack-encoded terms via. Support for 'Binary' and 'Extension' MessagePack types via and, respectively. Protocol-based packing through the protocol, that can be derived for user-defined structs.

A plug to parse requests with MessagePack-encoded bodies. A detailed table that shows the relationship between Elixir types and MessagePack types can be found in the. Installation Add:msgpax as a dependency in your mix.exs file. MessagePack for Rails The Rails way to serialize/deserialize objects with. It implements the & and the for Message Pack.

Installation Add this line to your application's Gemfile: gem 'msgpackrails' And then execute: $ bundle Or install it yourself as: $ gem install msgpackrails Usage msgpackrails converts data type using asjson before feeding it into. Here are a few examples: $ ActiveSupport::MessagePack.encode(:a =:b) = ' x81 xA1a xA1b' $ ActiveSupport::MessagePack.encode(Time.now) = ' xB92013-09-11T10:40:39-07:00' $ Time.now.asmsgpack = '2013-09-11T10:48:13-07:00' $ Time.now.tomsgpack = ' xB92013-09-11T10:40:39-07:00' $ ActiveSupport::MessagePack.decode Time.now.tomsgpack = '2013-09-11T11:23:07-07:00' # After setting ActiveSupport.parsemsgpacktimes to true $ ActiveSupport::MessagePack.decode Time.now.tomsgpack = Wed, 11 Sep 2013 11:25:18 -0700 You can also use it as part of ActiveModel, similar to tojson. U-msgpack-python u-msgpack-python is a lightweight serializer and deserializer module written in pure Python, compatible with both Python 2 and 3, as well CPython and PyPy implementations of Python. U-msgpack-python is fully compliant with the latest. U-msgpack-python is currently distributed on PyPI: and as a single file: Installation With pip: $ pip install u-msgpack-python With easyinstall: $ easyinstall u-msgpack-python or simply drop into your project!

$ wget Examples Basic Example. ML-MessagePack MessagePack implementation for Standard ML (SML) Features. Portable: Depends only on the required components of the SML Basis Library specification.

Composable: Composable combinators for encoding and decoding. Usage MLton and MLKit Include mlmsgpack.mlb in your MLB file. Poly/ML From the interactive shell, use.sml files in the following order.

mlmsgpack-aux.sml. realprinter-default.sml. mlmsgpack.sml SML/NJ Use mlmsgpack.cm. Moscow ML From the interactive shell, use.sml files in the following order. large.sml.

mlmsgpack-aux.sml. realprinter-fail.sml.

mlmsgpack.sml Makefile.mosml is also provided. HaMLet From the interactive shell, use.sml files in the following order. mlmsgpack-aux.sml. realprinter-fail.sml.

mlmsgpack.sml Alice ML Makefile.alice is provided. Make -f Makefile.alice alicerun mlmsgpack-test SML# For separate compilation,.smi files are provided. Require mlmsgpack.smi from your.smi file.

From the interactive shell, use.sml files in the following order. mlmsgpack-aux.sml. realprinter-default.sml.

mlmsgpack.sml Tutorial See TUTORIAL.md. Known Problems Our recommendation is MLton, MLKit, Poly/ML and SML#(=2.0.0) as all tests passed on them.

SML/NJ and Moscow ML are fine if you don't use real values. SML/NJ Packing real values fail or produces imprecise results in some cases. Moscow ML Packing real values is not supported, since some components of the SML Basis Library are not provided. HaMLet Packing real values is not supported, since some components of the SML Basis Library are not provided. Some functions are very slow, although they work properly. (We tested HaMLet compiled with MLton.) Alice ML Packing real values is not supported, since some components of the SML Basis Library are not provided. Also, some unit tests fail.

SML# Most functions do not work properly because of bugs of SML# prior to version 2.0.0. See Also There already exists another MessagePack implemenatation for SML, called MsgPack-SML, which is targeted for MLton. ML-MessagePack is written from scratch and not a fork of MsgPack-SML. For information on MessagePack, see. Msgpack for Delphi It's like JSON but small and fast. QMsgPack-Messagepack for Delphi/C Builder QMsgPack is a simple and powerful Delphi & C Builder implementation for messagepack protocol.

QMsgPack is a part of QDAC 3.0,Source code hosted in Sourceforge. Feathers Full types support,include messagepack extension type Full open source,free for used in ANY PURPOSE Quick and simple interface RTTI support include Install QMsgPack is not a desgin time package.So just place QMsgPack files into search path and add to your project. Support Topic in Website ,CHINESE only Mail to author Post in forum QQ Group No：250530692 Source check out HTTP SVN (svn://svn.code.sf.net/p/qdac3/code/) Example.

% pip install txmsgpackrpc Debian packages are available on project's. TCP example Computation of PI using Chudnovsky algorithm in subprocess. For details, see. $ # setup multicast routing $ ip route add 224.0.0.0/4 dev eth0 $ echo 1 /proc/sys/net/ipv4/ipforward $ $ # start servers listening on port 8000 $ python examples/txrpcserverudpmulticast.py & 1 3584 $ python examples/txrpcserverudpmulticast.py & 2 3585 $ python examples/txrpcserverudpmulticast.py & 3 3586 $ python examples/txrpcserverudpmulticast.py & 4 3587 $ python examples/txrpcserverudpmulticast.py & 5 3588 $ $ # execute client $ python examples/txrpcclientudpmulticast.py Received results from 5 peers $ Server. From twisted.internet import defer, reactor, task from txmsgpackrpc.server import MsgpackRPCServer class EchoRPC( MsgpackRPCServer): @defer.inlineCallbacks def remoteecho( self, value, delay = None, msgid = None): if delay is not None: yield task.deferLater(reactor, delay, lambda: None) defer.returnValue(value) def main: server = EchoRPC reactor.listenMulticast( 8000, server.getMulticastProtocol( '228.0.0.5 ', ttl = 5), listenMultiple = True) if name 'main ': reactor.callWhenRunning(main) reactor.run Client.

I will start this project once Nim compiler reaches 1.0 msgpack-nim A MessagePack binding for Nim API: msgpack-nim currently provides only the basic functionality. Please see what's listed in Todo section. Compared to other language bindings, it's well-tested by 1000 auto-generated test cases by Haskell QuickCheck, which always runs on every commit to Github repository. Please try make quickcheck on your local machine to see what happens (It will take a bit while. Have a nice packing!

Introduction MPack is a C implementation of an encoder and decoder for the serialization format. It is intended to be:. Simple and easy to use.

Secure against untrusted data. Lightweight, suitable for embedded. The core of MPack contains a buffered reader and writer, and a tree-style parser that decodes into a tree of dynamically typed nodes. Helper functions can be enabled to read values of expected type, to work with files, to allocate strings automatically, to check UTF-8 encoding, and more. The MPack featureset can be configured at compile-time to set which features, components and debug checks are compiled, and what dependencies are available. The MPack code is small enough to be embedded directly into your codebase. The easiest way to use it is to download the and insert the source files directly into your project.

Copy mpack.h and mpack.c into to your codebase, and copy mpack-config.h.sample as mpack-config.h. You can use the defaults or edit it if you'd like to customize the MPack featureset. Build Status MPack is beta software under development. The Node Reader API The Node API parses a chunk of MessagePack data into an immutable tree of dynamically-typed nodes. A series of helper functions can be used to extract data of specific types from each node. RMP - Rust MessagePack RMP is a pure Rust implementation. This repository consists of three separate crates: the RMP core and two implementations to ease serializing and deserializing Rust structs.

Crates.io API Documentation rmp rmp-serialize rmps rmpv Features. Convenient API RMP is designed to be lightweight and straightforward. There are low-level API, which gives you full control on data encoding/decoding process and makes no heap allocations. On the other hand there are high-level API, which provides you convenient interface using Rust standard library and compiler reflection, allowing to encode/decode structures using derive attribute. Zero-copy value decoding RMP allows to decode bytes from a buffer in a zero-copy manner easily and blazingly fast, while Rust static checks guarantees that the data will be valid as long as the buffer lives.

Clear error handling RMP's error system guarantees that you never receive an error enum with unreachable variant. Robust and tested This project is developed using TDD and CI, so any found bugs will be fixed without breaking existing functionality. Requirements.

Rust 1.16 Versioning This project adheres to. However until 1.0.0 comes there will be the following rules:. Any API/ABI breaking changes will be notified in the changelog explicitly and results in minor version bumping. API extending features results in patch version bumping. Non-breaking bug fixes and performance improving results in patch version bumping. Import msgpack4nim, streams type #lets try with a rather complex object CustomType = object count: int content: seq int name: string ratio: float attr: array 0.

5, int ok: bool proc initCustomType: CustomType = result.count = - 1 result.content = @ 1, 2, 3 result.name = 'custom' result.ratio = 1.0 for i in 0. 5: result.attri = i result.ok = false var x = initCustomType #you can use another stream compatible #class here e.g. FileStream var s = newStringStream s.

Pack(x) #here the magic happened s. SetPosition( 0) var xx: CustomType s. Unpack(xx) #and here too assert xx x echo 'OK ', xx.name see?

You only need to call 'pack' and 'unpack', and the compiler do the hard work for you. Very easy, convenient, and works well if you think setting up a StringStream too much for you, you can simply call pack(yourobject) and it will return a string containing msgpack data. Type #not really complex, just for example mycomplexobject = object a: someSimpleType b: someSimpleType #help the compiler to decide proc packtype.(s: Stream, x: mycomplexobject) = s.

Pack(x.a) # let the compiler decide s. Pack(x.b) # let the compiler decide #help the compiler to decide proc unpacktype.(s: Stream, x: var complexobject) = s. Unpack(x.a) s. Unpack(x.b) var s: newStringStream var x: mycomplexobject s. Pack(x) #pack as usual s.

SetPosition( 0) s. Nim c -define:msgpackobjtostream yourfile.nim What this means? It means by default, each object/tuple will be converted to one msgpack array contains field(s) value only without their field(s) name. If you specify that the object/tuple will be converted to msgpack map, then each object/tuple will be converted to one msgpack map contains key-value pairs. The key will be field name, and the value will be field value. If you specify that the object/tuple will be converted to msgpack stream, then each object/tuple will be converted into one or more msgpack's type for each object's field and then the resulted stream will be concatenated to the msgpack stream buffer.

Which one should I use? Usually, other msgpack libraries out there convert object/tuple/record/struct or whatever structured data supported by the language into msgpack array, but always make sure to consult the documentation first. If both of the serializer and deserializer agreed to one convention, then usually there will be no problem. No matter which library/language you use, you can exchange msgpack data among them. Ref-types: ref something:.

if ref value is nil, it will be packed into msgpack nil, and when unpacked, you will get nil too. if ref value not nil, it will be dereferenced e.g. Pack(val) or unpack(val). ref subject to some restriction.

See restriction below. ptr will be treated like ref during pack. unpacking ptr will invoke alloc, so you must dealloc it circular reference: altough detecting circular reference is not too difficult(using set of pointers), the current implementation does not provide circular reference detection. If you pack something contains circular reference, you know something bad will happened Restriction: For objects their type is not serialized. This means essentially that it does not work if the object has some other runtime type than its compiletime type. Import streams, msgpack4nim const exttype0 = 0 var s = newStringStream var body = 'this is the body' s.

Len, exttype0) s. Write(body) #the same goes to bin format s. Write(body) s. SetPosition( 0) #unpackext return tupleexttype:uint8, len: int let (extype, extlen) = s. Unpackext var extbody = s.

Scala Serialize Object To Byte Array

ReadStr(extlen) assert extbody body let binlen = s. Unpackbin var binbody = s. ReadStr(binlen) assert binbody body stringify you can convert msgpack data to readable string using stringify function. Msgpack-lite Fast Pure JavaScript MessagePack Encoder and Decoder Online demo: Features.

Pure JavaScript only (No node-gyp nor gcc required). Faster than any other pure JavaScript libraries on node.js v4. Even faster than node-gyp C based library ( 90% faster on encoding). Streaming encoding and decoding interface is also available. It's more faster. Ready for including Chrome, Firefox, Safari and even IE8. on Node.js v0.10, v0.12, v4, v5 and v6 as well as Web browsers Encoding and Decoding MessagePack.

Var msgpack = require( 'msgpack-lite '); // decode accepts Buffer instance per default msgpack. Decode( Buffer( 0x81, 0xA3, 0x66, 0x6F, 0x6F, 0xA3, 0x62, 0x61, 0x72)); // decode also accepts Array instance msgpack.

Decode( 0x81, 0xA3, 0x66, 0x6F, 0x6F, 0xA3, 0x62, 0x61, 0x72); // decode accepts raw Uint8Array instance as well msgpack. Decode( new Uint8Array( 0x81, 0xA3, 0x66, 0x6F, 0x6F, 0xA3, 0x62, 0x61, 0x72)); Command Line Interface A CLI tool bin/msgpack converts data stream from JSON to MessagePack and vice versa. Introduction msgpack-tools contains simple command-line utilities for converting from to and vice-versa. They support options for lax parsing, lossy conversions, pretty-printing, and base64 encoding.

msgpack2json - Convert MessagePack to JSON. json2msgpack - Convert JSON to MessagePack They can be used for dumping MessagePack from a file or web API to a human-readable format, or for converting hand-written or generated JSON to MessagePack. The lax parsing mode supports comments and trailing commas in JSON, making it possible to hand-write your app or game data in JSON and convert it at build-time to MessagePack. Build Status Branch master develop Examples To view a MessagePack file in a human-readable format for debugging purposes.

$ echo '0,0,'sum',1,2 ' json2msgpack nc -q1 localhost 18800 msgpack2json -d 1, 0, null, 3 Installation. Arch Linux:, e.g. Yaourt -S msgpack-tools.

Mac OS X : brew install. Debian (Ubuntu, etc.):.deb package for x8664 in the; install with dpkg For other platforms, msgpack-tools must be built from source. Download the msgpack-tools tarball from the (not the 'source code' archive generated by GitHub, but the actual release package.) msgpack-tools uses CMake.

A configure wrapper is provided that calls CMake, so you can simply run the usual:./configure && make && sudo make install If you are building from the repository, you will need to generate the man pages. Differences between MessagePack and JSON MessagePack is intended to be very close to JSON in supported features, so they can usually be transparently converted from one to the other. There are some differences, however, which can complicate conversions. These are the differences in what objects are representable in each format:. JSON keys must be strings. MessagePack keys can be any type, including maps and arrays.

JSON supports 'bignums', i.e. Integers of any size.

MessagePack integers must fit within a 64-bit signed or unsigned integer. JSON real numbers are specified in decimal scientific notation and can have arbitrary precision.

MessagePack real numbers are in IEEE 754 standard 32-bit or 64-bit binary. MessagePack supports binary and extension type objects. JSON does not support binary data. Binary data is often encoded into a base64 string to be embedded into a JSON document. A JSON document can be encoded in UTF-8, UTF-16 or UTF-32, and the entire document must be in the same encoding. MessagePack strings are required to be UTF-8, although this is not enforced by many encoding/decoding libraries. By default, msgpack2json and json2msgpack convert in strict mode.

If an object in the source format is not representable in the destination format, the converter aborts with an error. A lax mode is available which performs a 'lossy' conversion, and base64 conversion modes are available to support binary data in JSON. Use MessagePack MessagePack. $packed = MessagePack::pack( $value); In the examples above, the method pack automatically packs a value depending on its type. But not all PHP types can be uniquely translated to MessagePack types. For example, MessagePack format defines map and array types, which are represented by a single array type in PHP.

By default, the packer will pack a PHP array as a MessagePack array if it has sequential numeric keys, starting from 0 and as a MessagePack map otherwise. $packer -packNil; // MP nil $packer -packBool( true); // MP bool $packer -packArray( 1, 2); // MP array $packer -packMap( 1, 2); // MP map $packer -packExt( new Ext( 1, ' xaa ')); // MP ext $packer -packFloat( 4.2); // MP float $packer -packInt( 42); // MP int $packer -packStr( 'foo '); // MP str $packer -packBin( ' x80 '); // MP bin Check section below on how to pack arbitrary PHP objects. Type detection mode Automatically detecting an MP type of PHP arrays/strings adds some overhead which can be noticed when you pack large (16- and 32-bit) arrays or strings. However, if you know the variable type in advance (for example, you only work with UTF-8 strings or/and associative arrays), you can eliminate this overhead by forcing the packer to use the appropriate type, which will save it from running the auto detection routine. // convert PHP strings to MP strings, PHP arrays to MP maps $packer -setTypeDetectionMode( Packer:: FORCESTR Packer:: FORCEMAP); // convert PHP strings to MP binaries, PHP arrays to MP arrays $packer -setTypeDetectionMode( Packer:: FORCEBIN Packer:: FORCEARR); // this will throw InvalidArgumentException $packer -setTypeDetectionMode( Packer:: FORCESTR Packer:: FORCEBIN); $packer -setTypeDetectionMode( Packer:: FORCEMAP Packer:: FORCEARR); Unpacking To unpack data you can either use an instance of BufferUnpacker.

Use MessagePack Ext; use MessagePack MessagePack; $packed = MessagePack::pack( new Ext( 42, ' xaa ')); $ext = MessagePack::unpack( $packed); $extType = $ext -getType; // 42 $extData = $ext -getData; // ' xaa' Custom Types In addition to, the library provides the functionality to serialize and deserialize arbitrary types. To do this, you need to create a transformer, that converts your type to a type, which can be handled by MessagePack. For example, the code below shows how to add DateTime object support. Use MessagePack BufferUnpacker; use MessagePack Packer; use MessagePack TypeTransformer Collection; $packer = new Packer; $unpacker = new BufferUnpacker; $coll = new Collection( new DateTimeTransformer( 5)); // $coll-add(new AnotherTypeTransformer(42)); $packer -setTransformers( $coll); $unpacker -setTransformers( $coll); $packed = $packer -pack( 'foo ' = new DateTime, 'bar ' = 'baz '); $value = $unpacker -reset( $packed) -unpack; Exceptions If an error occurs during packing/unpacking, a PackingFailedException or UnpackingFailedException will be thrown, respectively. In addition, there are two more exceptions that can be thrown during unpacking:.

InsufficientDataException. IntegerOverflowException Tests Run tests as follows.

$ php tests/bench.php This command will output something like: Filter: MessagePack Tests Perf Filter ListFilter Rounds: 3 Iterations: 100000 Test/Target Packer BufferUnpacker - nil. 0.0223 false. 0.0207 true. 0.0237 7-bit uint #1. 0.0167 7-bit uint #2.

0.0153 7-bit uint #3. 0.0161 5-bit sint #1.

0.0202 5-bit sint #2. 0.0201 5-bit sint #3. 0.0201 8-bit uint #1. 0.0341 8-bit uint #2. 0.0379 8-bit uint #3. 0.0344 16-bit uint #1.

0.0460 16-bit uint #2. 0.0466 16-bit uint #3.

0.0486 32-bit uint #1. 0.0595 32-bit uint #2.

0.0591 32-bit uint #3. 0.0598 64-bit uint #1. 0.0729 64-bit uint #2. 0.0728 8-bit int #1. 0.0404 8-bit int #2. 0.0407 8-bit int #3. 0.0431 16-bit int #1.

0.0527 16-bit int #2. 0.0514 16-bit int #3. 0.0523 32-bit int #1.

0.0679 32-bit int #2. 0.0681 32-bit int #3. 0.0707 64-bit int #1. 0.0756 64-bit int #2.

0.0780 64-bit int #3. 0.0759 64-bit float #1. 0.0644 64-bit float #2. 0.0618 64-bit float #3. 0.0623 fix string #1.

0.0225 fix string #2. 0.0324 fix string #3. 0.0349 fix string #4.

0.0328 8-bit string #1. 0.0563 8-bit string #2. 0.0568 8-bit string #3.

0.0569 16-bit string #1. 0.0685 16-bit string #2. 0.3242 32-bit string. 0.3364 wide char string #1.

0.0353 wide char string #2. 0.0551 8-bit binary #1.

0.0474 8-bit binary #2. 0.0482 8-bit binary #3. 0.0509 16-bit binary. 0.0638 32-bit binary. 0.3347 fixext 1. 0.0739 fixext 2.

0.0794 fixext 4. 0.0788 fixext 8. 0.0789 fixext 16. 0.0802 8-bit ext. 0.0880 16-bit ext. 0.1001 32-bit ext.

0.3734 fix array #1. 0.0233 fix array #2. 0.0900 16-bit array #1. 0.2913 16-bit array #2. S 32-bit array.

S complex array. 0.4304 fix map #1. 0.1900 fix map #2. 0.0684 fix map #3. 0.1155 fix map #4. 0.0901 16-bit map #1. 0.5105 16-bit map #2.

S 32-bit map. S complex map. 0.5348 Total 10.5549 6.6065 Skipped 4 4 Failed 0 0 Ignored 0 0 You may change default benchmark settings by defining the following environment variables:. MPBENCHTARGETS (purep, pureps, purepa, purepsa, purebu, peclp, peclu). MPBENCHITERATIONS/ MPBENCHDURATION.

MPBENCHROUNDS. MPBENCHTESTS For example.