A fast Go avro codec
Install with:
go get github.com/hamba/avro/v2
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.
Avro | Go Struct | Go Interface |
---|---|---|
null |
nil |
nil |
boolean |
bool |
bool |
bytes |
[]byte |
[]byte |
float |
float32 |
float32 |
double |
float64 |
float64 |
long |
int64 |
int64 |
int |
int , int32 , int16 , int8 |
int |
string |
string |
string |
array |
[]T |
[]interface{} |
enum |
string |
string |
fixed |
[n]byte |
[]byte |
map |
map[string]T{} |
map[string]interface{} |
record |
struct |
map[string]interface{} |
union |
see below | see below |
int.date |
time.Time |
time.Time |
int.time-millis |
time.Duration |
time.Duration |
long.time-micros |
time.Duration |
time.Duration |
long.timestamp-millis |
time.Time |
time.Time |
long.timestamp-micros |
time.Time |
time.Time |
bytes.decimal |
*big.Rat |
*big.Rat |
fixed.decimal |
*big.Rat |
*big.Rat |
The following union types are accepted: map[string]interface{}
, *T
and interface{}
.
- map[string]interface{}: If the union value is
nil
, anil
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, withT
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 theRegister
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 unlessConfig.UnionResolutionError
is set totrue
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.
At this moment recursive structs are not supported. It is planned for the future.
Benchmark source code can be found at: https://github.com/nrwiersma/avro-benchmarks
BenchmarkGoAvroDecode-10 495176 2413 ns/op 418 B/op 27 allocs/op
BenchmarkGoAvroEncode-10 420168 2917 ns/op 948 B/op 63 allocs/op
BenchmarkGoGenAvroDecode-10 757150 1552 ns/op 728 B/op 45 allocs/op
BenchmarkGoGenAvroEncode-10 1882940 639.0 ns/op 256 B/op 3 allocs/op
BenchmarkHambaDecode-10 3138063 383.0 ns/op 64 B/op 4 allocs/op
BenchmarkHambaEncode-10 4377513 273.3 ns/op 112 B/op 1 allocs/op
BenchmarkLinkedinDecode-10 1000000 1109 ns/op 1688 B/op 35 allocs/op
BenchmarkLinkedinEncode-10 2641016 456.0 ns/op 248 B/op 5 allocs/op
Always benchmark with your own workload. The result depends heavily on the data input.
Go structs can be generated for you from the schema. The types generated follow the same logic in types conversions
Install the struct generator with:
go install github.com/hamba/avro/v2/cmd/avrogen@<version>
Example usage assuming there's a valid schema in in.avsc
:
./app -pkg avro -o bla.go -tags json:snake,yaml:upper-camel in.avsc
Check the options and usage with -h
:
avrogen -h
Or use it as a lib in internal commands, it's the gen
package