The gpb is a compiler for Google protocol buffer definitions files for Erlang.
See https://code.google.com/p/protobuf/ for further information on the Google protocol buffers.
-
Parses protocol buffer definition files and can generate:
- record definitions, one record for each message
- erlang code for encoding/decoding the messages to/from binaries
-
Features of the protocol buffer definition files: gpb supports:
- message definitions (also messages in messages)
- scalar types
- importing other proto files
- nested types
- message extensions
- the 'packed' and 'default' options for fields
- the 'allow_alias' enum option (treated as if it is always set true)
- generating metadata information
- package namespacing (optional)
- oneof
gpb reads but ignores or throws away:
- options other than 'packed' or 'default'
- custom options
gpb does not support:
- groups
- aggregate custom options introduced in protobuf 2.4.0
- rpc
-
Characteristics of gpb:
- Skipping over unknown message fields, when decoding, is supported
- Merging of messages, also recursive merging, is supported
- Gpb can optionally generate code for verification of values during encoding this makes it easy to catch e.g integers out of range, or values of the wrong type.
- Gpb can optionally or conditionally copying the contents of 'bytes' fields, in order to let the runtime system free the larger message binary.
- Gpb can optionally make use of the package attribute by prepending the name of the package to every contained message type (if defined), which is useful to avoid name clashes of message types across packages.
- The generated encode/decoder has no run-time dependency to gpb,
but there is normally a compile-time dependency for the generated
code: to the #field{} record in gpb.hrl the for the get_msg_defs
function, but it is possible to avoid this dependency by using
the also the
defs_as_proplists
or-pldefs
option. - Gpb can generate code both to files and to binaries.
-
Introspection
gpb generates some functions for examining messages, enums and services:
get_msg_defs()
,get_msg_names()
,get_enum_names()
find_msg_def(MsgName)
andfetch_msg_def(MsgName)
find_enum_def(MsgName)
andfetch_enum_def(MsgName)
enum_symbol_by_value(EnumName, Value)
,enum_symbol_by_value_<EnumName>(Value)
,enum_value_by_symbol(EnumName, Enum)
andenum_value_by_symbol_<EnumName>(Enum)
get_service_names()
,get_service_def(ServiceName)
,get_rpc_names(ServiceName)
find_rpc_def(ServiceName, RpcName)
,fetch_rpc_def(ServiceName, RpcName)
There are also some version information functions:
gpb:version_as_string()
andgpb:version_as_list()
GeneratedCode:version_as_string()
andGeneratedCode:version_as_list()
?gpb_version
(in gpb_version.hrl)?'GeneratedCode_gpb_version'
(in GeneratedCode.hrl)
The gpb can also generate a self-description of the proto file. The self-description is a description of the proto file, encoded to a binary using the descriptor.proto that comes with the Google protocol buffers library. Note that such an encoded self-descriptions won't be byte-by-byte identical to what the Google protocol buffers compiler will generate for the same proto, but should be roughly equivalent.
-
Erroneously encoded protobuf messages and fields will generally cause the decoder to crash. Examples of such erroneous encodings are:
- varints with too many bits
- strings, bytes, sub messages or packed repeated fields, where the encoded length is longer than the remaining binary
-
Maps
Gpb can generate encoders/decoders for maps.
The option
maps_unset_optional
can be used to specify behavior for non-present optional fields: whether they are omitted from maps, or whether they are present, but have the valueundefined
like for records. -
Reporting of errors in .proto files
Gpb is not very good at error reporting, especially referencing errors, such as references to messages that are not defined. You might want to first verify with
protoc
that the .proto files are valid before feeding them to gpb. -
Caveats
The gpb does accept reserved words as names for fields (just like protoc does), but not as names for messages. To correct this, one would have to either rewrite the grammar, or stop using yecc. (maybe rewrite it all as a protoc plugin?)
The gpb will fail to decode floats that are NaN, +Inf and -Inf, and there is no possibility to encode such floats.
Here is a comparison between gpb (interpreted by the erlang vm) and the C++, Python and Java serializers/deserializers of protobuf-2.4.1
[MB/s] | gpb |pb/c++ |pb/c++ | pb/c++ | pb/py |pb/java| pb/java|
| |(speed)|(size) | (lite) | |(size) | (speed)|
--------------+-------+-------+-------+--------+-------+-------+--------+
small msgs | | | | | | | |
serialize | 44.32 | 863.4 | 54.67 | 510.8 | 6.77 | 60.28 | 907.9 |
deserialize | 59.62 | 534.1 | 52.89 | 532.5 | 5.75 | 81.36 | 337.2 |
--------------+-------+-------+-------+--------+-------+-------+--------+
large msgs | | | | | | | |
serialize | 28.76 | 667.9 | 45.71 | 396.5 | 4.71 | 58.28 | 562.9 |
deserialize | 37.01 | 396.3 | 44.84 | 276.3 | 4.07 | 55.33 | 356.8 |
--------------+-------+-------+-------+--------+-------+-------+--------+
The performances are measured as number of processed MB/s, serialized form. Higher values means better performance.
The benchmarks are run with small and large messages (228 and 84584 bytes, respectively, in serialized form)
The Java benchmark is run with optimization both for code size and for speed. The Python implementation cannot optimize for speed.
SW: Python 2.7.9, Java 1.7.0_75 (OpenJDK), Erlang/OTP 17.3, g++ 4.9.2
Linux kernel 3.16, Debian (in 32 bit mode), protobuf-2.6.1,
HW: Intel Core i7 5820k, 3.3GHz, 6x256 kB L2 cache, 15MB L3 cache
(CPU frequency pinned to 3.3 GHz)
The benchmarks are all done with the exact same messages files and proto files. The source of the benchmarks was found in the Google protobuf's svn repository. The gpb does not support groups, but the benchmarks in the protobuf used groups, so I converted the google_message*.dat to use sub message structures instead. For protobuf, that change was only barely noticeable.
For performance, the generated Erlang code avoids creating sub
binaries as far as possible. It has to for sub messages, strings and
bytes, but for the rest of the types, it avoids creating sub binaries,
both during encoding and decoding (for info, compile with the
bin_opt_info
option)
The Erlang code ran in the smp emulator, though only one CPU core was utilized.
The generated C++ core was compiled with -O3.
.proto type Erlang type
----------------------------------------------------------------
double, float floating point number
when encoding, integers, too, are accepted
----------------------------------------------------------------
int32, int64,
uint32, uint64,
sint32, sint64,
fixed32, fixed64,
sfixed32, sfixed64 integer
----------------------------------------------------------------
bool true | false
----------------------------------------------------------------
enum atom
----------------------------------------------------------------
message record (thus tuple)
----------------------------------------------------------------
string unicode string, thus list of integers
----------------------------------------------------------------
bytes binary
----------------------------------------------------------------
oneof {ChosenFieldName, Value}
Place the .proto files for instance in a proto/
subdirectory.
Any subdirectory, other than src/, is fine, since rebar will try to
use another protobuf compiler for any .proto it finds in the src/
subdirectory. Here are some some lines for the rebar.config
file:
%% -*- erlang -*-
{pre_hooks,
[{compile, "mkdir -p include"}, %% ensure the include dir exists
{compile,
"/path/to/gpb/bin/protoc-erl -I`pwd`/proto"
"-o-erl src -o-hrl include `pwd`/proto/*.proto"
}]}.
{post_hooks,
[{clean,
"bash -c 'for f in proto/*.proto; "
"do "
" rm -f src/$(basename $f .proto).erl; "
" rm -f include/$(basename $f .proto).hrl; "
"done'"}
]}.
{erl_opts, [{i, "/path/to/gpb/include"}]}.
The gpb version number is fetched from the git latest git tag matching N.M where N and M are integers. This version is inserted into the gpb.app file as well as into the include/gpb_version.hrl. The version is the result of the command
git describe --always --tags --match '[0-9].[0-9]'
Thus, to create a new version of gpb, the single source from where this version is fetched, is the git tag. (If you are importing gpb into another version control system than git, or using another build tool than rebar, you might have to adapt rebar.config and src/gpb.app.src accordingly.)
The version number of the gpb on github is intended to always be only
integers with dots, in order to be compatible with reltool. In other
words, each push to github is considered a release, and the version
number is bumped. To ensure this, there is a pre-push
git hook and
two scripts, install-git-hooks
and tag-next-minor-vsn
, in the
helpers subdirectory. The ChangeLog file will not necessarily reflect
all minor version bumps, only important updates.
Places to update when making a new version:
- Write about the changes in the ChangeLog file, if it is a non-minor version bump.
- tag it in git
Contributions are welcome, preferably as pull requests or git patches or git fetch requests. Here are some guide lines:
- Use only spaces for indentation, no tabs. Indentation is 4 spaces.
- The code must fit 80 columns
- Verify that the code and documentation compiles and that tests are ok: rebar clean compile eunit doc xref
- If you add a feature, test cases are most welcome, so that the feature won't get lost in any future refactorization
- Use a git branch for your feature. This way, the git history will look better in case there is need to refetch.