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Quick Overview
tinylib/msgp is a Go library for MessagePack serialization. It provides a code generation tool that creates highly optimized MessagePack encoding and decoding functions for Go struct types, offering significant performance improvements over reflection-based serialization methods.
Pros
- High performance: Generated code is typically much faster than reflection-based alternatives
- Type safety: Compile-time type checking ensures correct serialization and deserialization
- Low memory allocation: Generated code minimizes heap allocations for better performance
- Easy integration: Works seamlessly with existing Go types and structures
Cons
- Requires code generation: Extra step in the build process
- Limited flexibility: Generated code is specific to defined structures
- Learning curve: Understanding and using code generation may be new for some developers
- Maintenance overhead: Generated code needs to be updated when struct definitions change
Code Examples
- Defining a struct with msgp tags:
//go:generate msgp
type Person struct {
Name string `msg:"name"`
Age int `msg:"age"`
Address string `msg:"address,omitempty"`
}
- Encoding a struct to MessagePack:
person := Person{Name: "Alice", Age: 30}
bytes, err := person.MarshalMsg(nil)
if err != nil {
log.Fatal(err)
}
fmt.Printf("Encoded: %x\n", bytes)
- Decoding MessagePack data to a struct:
var decodedPerson Person
_, err = decodedPerson.UnmarshalMsg(bytes)
if err != nil {
log.Fatal(err)
}
fmt.Printf("Decoded: %+v\n", decodedPerson)
Getting Started
-
Install msgp:
go get github.com/tinylib/msgp
-
Add msgp tags to your structs and use the
//go:generate msgp
comment://go:generate msgp type MyStruct struct { Field1 string `msg:"field1"` Field2 int `msg:"field2"` }
-
Generate code:
go generate ./...
-
Use the generated methods in your code:
data := MyStruct{Field1: "Hello", Field2: 42} bytes, err := data.MarshalMsg(nil) // Use bytes for transmission or storage
Competitor Comparisons
idiomatic codec and rpc lib for msgpack, cbor, json, etc. msgpack.org[Go]
Pros of go
- Supports a wider range of data formats, including JSON, MessagePack, CBOR, and more
- Offers more flexibility in customization and configuration options
- Provides better support for complex data structures and interfaces
Cons of go
- Generally slower performance compared to msgp
- More complex API and usage, requiring more setup and configuration
- Larger codebase and dependencies, potentially increasing build times and binary sizes
Code Comparison
msgp:
//go:generate msgp
type Person struct {
Name string
Age int
}
go:
type Person struct {
Name string `json:"name" codec:"name"`
Age int `json:"age" codec:"age"`
}
var codec = codec.New()
Both libraries aim to provide efficient serialization and deserialization for Go applications. msgp focuses specifically on MessagePack format and generates code for optimal performance. It's simpler to use but limited to MessagePack.
go offers a more versatile solution, supporting multiple formats and providing greater flexibility. However, this comes at the cost of slightly lower performance and increased complexity.
Choose msgp for MessagePack-specific, high-performance needs with simple setup. Opt for go when requiring support for multiple formats or more advanced customization options.
faster JSON serialization for Go
Pros of ffjson
- Supports more complex Go types, including maps and interfaces
- Provides a command-line tool for generating serialization code
- Offers better performance for large, complex JSON structures
Cons of ffjson
- Generates larger code files compared to msgp
- May have slower performance for simpler data structures
- Requires manual regeneration of code when struct definitions change
Code Comparison
msgp:
//go:generate msgp
type Person struct {
Name string `msg:"name"`
Age int `msg:"age"`
}
ffjson:
//go:generate ffjson $GOFILE
type Person struct {
Name string `json:"name"`
Age int `json:"age"`
}
Both libraries use code generation to create efficient serialization methods. msgp focuses on MessagePack encoding, while ffjson targets JSON specifically. msgp generally produces more compact code and faster serialization for simple structures, but ffjson offers more flexibility for complex JSON handling.
The choice between these libraries depends on the specific requirements of your project, such as the complexity of your data structures, performance needs, and whether you're working exclusively with JSON or need support for other formats like MessagePack.
Fast JSON serializer for golang.
Pros of easyjson
- Supports more flexible struct tags for customizing JSON output
- Provides an option for lexicographical sorting of map keys
- Offers better performance for large, complex JSON structures
Cons of easyjson
- Requires manual code generation, unlike msgp's runtime reflection
- Has a more complex API and usage compared to msgp's simplicity
- May produce larger binary sizes due to generated code
Code Comparison
easyjson:
//easyjson:json
type Person struct {
Name string `json:"name"`
Age int `json:"age"`
}
msgp:
//msgp:encode msgp:decode
type Person struct {
Name string `msg:"name"`
Age int `msg:"age"`
}
Both libraries aim to improve JSON encoding/decoding performance in Go, but they take different approaches. easyjson focuses on JSON-specific optimizations and offers more customization options, while msgp provides a simpler API and supports multiple serialization formats.
easyjson generates marshalers and unmarshalers for specific structs, resulting in highly optimized code for each type. msgp, on the other hand, uses a more generic approach with runtime reflection, which can be faster for simpler structures but may lag behind for complex JSON data.
Ultimately, the choice between easyjson and msgp depends on the specific requirements of your project, such as performance needs, code complexity tolerance, and desired level of customization.
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MessagePack Code Generator
This is a code generation tool and serialization library for MessagePack. You can read more about MessagePack in the wiki, or at msgpack.org.
Why?
- Use Go as your schema language
- Performance
- JSON interop
- User-defined extensions
- Type safety
- Encoding flexibility
Quickstart
First install the msgp
generator command. Using Go this is done with go install github.com/tinylib/msgp@latest
In a source file, include the following directive:
//go:generate msgp
The msgp
command will generate serialization methods for all exported type declarations in the file.
You can read more about the code generation options here.
Use
Field names can be set in much the same way as the encoding/json
package. For example:
type Person struct {
Name string `msg:"name"`
Address string `msg:"address"`
Age int `msg:"age"`
Hidden string `msg:"-"` // this field is ignored
unexported bool // this field is also ignored
}
By default, the code generator will satisfy msgp.Sizer
, msgp.Encodable
, msgp.Decodable
,
msgp.Marshaler
, and msgp.Unmarshaler
. Carefully-designed applications can use these methods to do
marshalling/unmarshalling with zero heap allocations.
While msgp.Marshaler
and msgp.Unmarshaler
are quite similar to the standard library's
json.Marshaler
and json.Unmarshaler
, msgp.Encodable
and msgp.Decodable
are useful for
stream serialization. (*msgp.Writer
and *msgp.Reader
are essentially protocol-aware versions
of *bufio.Writer
and *bufio.Reader
, respectively.)
An important thing to note is that msgp operates on individual files. This means if your structs include types defined in other files, these must be processed as well.
Features
- Extremely fast generated code
- Test and benchmark generation
- JSON interoperability (see
msgp.CopyToJSON() and msgp.UnmarshalAsJSON()
) - Support for complex type declarations
- Native support for Go's
time.Time
,complex64
, andcomplex128
types - Generation of both
[]byte
-oriented andio.Reader/io.Writer
-oriented methods - Support for arbitrary type system extensions
- Preprocessor directives
- File-based dependency model means fast codegen regardless of source tree size.
Consider the following:
const Eight = 8
type MyInt int
type Data []byte
type Struct struct {
Which map[string]*MyInt `msg:"which"`
Other Data `msg:"other"`
Nums [Eight]float64 `msg:"nums"`
}
As long as the declarations of MyInt
and Data
are in the same file as Struct
, the parser will determine that the type information for MyInt
and Data
can be passed into the definition of Struct
before its methods are generated.
Extensions
MessagePack supports defining your own types through "extensions," which are just a tuple of
the data "type" (int8
) and the raw binary. You can see a worked example in the wiki.
Status
Mostly stable, in that no breaking changes have been made to the /msgp
library in more than a year. Newer versions
of the code may generate different code than older versions for performance reasons. I (@philhofer) am aware of a
number of stability-critical commercial applications that use this code with good results. But, caveat emptor.
You can read more about how msgp
maps MessagePack types onto Go types in the wiki.
Here some of the known limitations/restrictions:
- Identifiers from outside the processed source file are assumed (optimistically) to satisfy the generator's interfaces. If this isn't the case, your code will fail to compile.
- Like most serializers,
chan
andfunc
fields are ignored, as well as non-exported fields. - Encoding of
interface{}
is limited to built-ins or types that have explicit encoding methods. - Maps must have
string
keys. This is intentional (as it preserves JSON interop.) Although non-string map keys are not forbidden by the MessagePack standard, many serializers impose this restriction. (It also means any well-formedstruct
can be de-serialized into amap[string]interface{}
.) The only exception to this rule is that the deserializers will allow you to read map keys encoded asbin
types, due to the fact that some legacy encodings permitted this. (However, those values will still be cast to Gostring
s, and they will be converted tostr
types when re-encoded. It is the responsibility of the user to ensure that map keys are UTF-8 safe in this case.) The same rules hold true for JSON translation.
If the output compiles, then there's a pretty good chance things are fine. (Plus, we generate tests for you.) Please, please, please file an issue if you think the generator is writing broken code.
Performance
If you like benchmarks, see here and here.
As one might expect, the generated methods that deal with []byte
are faster for small objects, but the io.Reader/Writer
methods are generally more memory-efficient (and, at some point, faster) for large (> 2KB) objects.
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