wanabe / avro Goto Github PK

A fast Go avro codec

Install with:

go get github.com/hamba/avro

type SimpleRecord struct {
	A int64  `avro:"a"`
	B string `avro:"b"`
}

schema, err := avro.Parse(`{
    "type": "record",
    "name": "simple",
    "namespace": "org.hamba.avro",
    "fields" : [
        {"name": "a", "type": "long"},
        {"name": "b", "type": "string"}
    ]
}`)
if err != nil {
	log.Fatal(err)
}

in := SimpleRecord{A: 27, B: "foo"}

data, err := avro.Marshal(schema, in)
if err != nil {
	log.Fatal(err)
}

fmt.Println(data)
// Outputs: [54 6 102 111 111]

out := SimpleRecord{}
err = avro.Unmarshal(schema, data, &out)
if err != nil {
	log.Fatal(err)
}

fmt.Println(out)
// Outputs: {27 foo}

More examples in the godoc.

The following union types are accepted: map[string]interface{}, *T and interface{}.

• map[string]interface{}: If the union value is nil, a nil map will be en/decoded. When a non-nil union value is encountered, a single key is en/decoded. The key is the avro type name, or scheam full name in the case of a named schema (enum, fixed or record).
• *T: This is allowed in a "nullable" union. A nullable union is defined as a two schema union, with one of the types being null (ie. ["null", "string"] or ["string", "null"]), in this case a *T is allowed, with T matching the conversion table above.
• interface{}: An interface can be provided and the type or name resolved. Primitive types are pre-registered, but named types, maps and slices will need to be registered with the Register function. In the case of arrays and maps the enclosed schema type or name is postfix to the type with a : separator, e.g "map:string". If any type cannot be resolved the map type above is used unless Config.UnionResolutionError is set to true in which case an error is returned.

The interfaces TextMarshaler and TextUnmarshaler are supported for a string schema type. The object will be tested first for implementation of these interfaces, in the case of a string schema, before trying regular encoding and decoding.

Benchmark source code can be found at: https://github.com/nrwiersma/avro-benchmarks

BenchmarkGoAvroDecode-8     	  326304	      3608 ns/op	     442 B/op	      27 allocs/op
BenchmarkGoAvroEncode-8     	  282902	      4367 ns/op	     856 B/op	      63 allocs/op
BenchmarkHambaDecode-8      	 2133788	       568 ns/op	      64 B/op	       4 allocs/op
BenchmarkHambaEncode-8      	 2635092	       444 ns/op	     112 B/op	       1 allocs/op
BenchmarkLinkedinDecode-8   	  583681	      2138 ns/op	    1728 B/op	      35 allocs/op
BenchmarkLinkedinEncode-8   	 1527082	       785 ns/op	     248 B/op	       5 allocs/op

Always benchmark with your own workload. The result depends heavily on the data input.