tt

TinyTranscoder is a library that can encode/decode map[interface{}]interface{} where the interface is any of the supported types or a Transmitter. tt is faster than GOB but does support less types and does use a significant more bytes to transmis the data

Benchmarks

Data is are benchmarks that use Data, map benchmarks just convert the data to a map[interface{}]interface{}.

r5 3600 make bench

BenchmarkV3               325105              3691 ns/op             669 B/op         25 allocs/op
BenchmarkV3Decode         396320              2806 ns/op             669 B/op         25 allocs/op
BenchmarkV3Encode        1585117               756 ns/op               0 B/op          0 allocs/op
BenchmarkV3int64         2334561               494 ns/op              32 B/op          1 allocs/op
BenchmarkV2               475154              2546 ns/op            1521 B/op         26 allocs/op
BenchmarkV2Decode         952143              1265 ns/op             776 B/op         22 allocs/op
BenchmarkV2Encode         939524              1210 ns/op             811 B/op          4 allocs/op
BenchmarkGobMap            96040             12636 ns/op            1916 B/op         68 allocs/op
BenchmarkGobMapDecode     175570              6705 ns/op            1260 B/op         48 allocs/op
BenchmarkGobMapEncode     231436              5177 ns/op             656 B/op         20 allocs/op

notes

• all tests are run using GOMAXPROCS=1, this is because on zen running on multiple threads will cause horrible cache-invalidation. A single alloc/op would cause the GC to run at some point, this would kick the benching to a diferent core. The reason I decided to run using GOMAXPROCS=1 is because this doesnt have a big impact on Intel cpus, and any real world application would be generating garbage anyways, so eleminitin the GC from running should be part of the benchmark. Another reason coul be: real world applications would so something else in between runs causing cache-invalidation anyways.

v3 vs v2

As seen in the benchmarks v3 is significantly slower than v2, this has a couple of reasons:

• v3 supports all kinds of maps and structs meaning we have to use reflect for a lot of things. We have some fast-paths for commonly used maps but this doesnt negate all performance loss.
• v3 supports encoding/decoding from all kinds of readerswriters, the added indirection adds a significant amount of overhead.
• v3 uses the google varints, this means that we have removed any size limitations but it does mean slower encoding/decoding. see #limitations in ttv2

other diferences are:

• map[interaface{}]interface{} and map[string]interface{} get converted to Data in v2 but not in v3. In v3 all maps are converted into map[interface{}]interface{} if no other type is provided, much like json and gob.

limitations in ttv2

ttv2 only supports up to 255 child nodes per node ttv2 only supports up to 2^32 number of nodes(each submap, array, and value is a node) text is up to 2^32 bytes long, same for the key