The protobuf-native package

[Tags:bsd3, library, program, test]

protobuf-native uses the code generated from protobuf for C++ in Haskell.


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Properties

Versions 1.0.0.0, 1.0.0.1
Dependencies base (>=4.6 && <4.8), bytestring (==0.10.*), cplusplus-th (==1.*), protobuf-native, template-haskell, text (>=1 && <=2) [details]
License BSD3
Copyright Copyright (c) 2014, National ICT Australia Limited (NICTA)
Author Maxwell Swadling
Maintainer maxwell.swadling@nicta.com.au
Stability Unknown
Category Data
Home page https://github.com/nicta/protobuf-native
Uploaded Thu Oct 16 06:37:41 UTC 2014 by MaxwellSwadling
Distributions NixOS:1.0.0.1
Downloads 374 total (4 in the last 30 days)
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Status Docs uploaded by user
Build status unknown [no reports yet]

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Readme for protobuf-native

Readme for protobuf-native-1.0.0.1

protobuf-native

protobuf-native uses the code generated from protobuf for C++ in Haskell to go between Haskell and protobuf data structures.

It makes use of Template Haskell to assist in generating the interface between protobuf and your data structures.

Objects have finalizers so you never need to worry about memory management.

Usage

protobuf :: FilePath -> Name -> Q [Dec]

protobuf is a Template Haskell splice that takes the file path to a compiled protobuf object file and the name of the data type you want to build bindings to.

The data type must:

  • Have a name the same as the protobuf message name with a T appended
  • Be a record data structure
  • Have a single constructor with the name of the data type with the final T omitted
  • If a field's name is a reserved word, it may have an _ appended

For example, if we have a Person protobuf structure in the file person.proto:

message Name {
  optional string firstname = 1;
  optional string lastname = 2;
}

message Person {
  required Name name = 1;
  required int32 id = 2;
  optional string email = 3;
}

First we run protoc --cpp_out=. person.proto then compile the person.pb.cc file. Unfortunately, at this point, you need to mangle the C++ header file as per the Protobuf Mangling Guide below, ideally this would be automated. Do not re-run protoc unless you want to re-mangle the file. Always check these files in to source control.

Then we can write two Haskell data structures to represent these types:

{-# LANGUAGE TemplateHaskell, MultiParamTypeClasses #-}
import Data.Protobuf

data NameT = Name { firstname :: Maybe String, lastname :: Maybe String}
  deriving (Show, Eq)
protobuf "person.pb.o" ''NameT

data PersonT = Person { name :: NameT, id :: Int, email :: String }
  deriving (Show, Eq)
protobuf "person.pb.o" ''PersonT

If you get any of this wrong, you will get a compiler error.

Note that NameT is the type of the name field in PersonT. With data kinds you may get confusing error messages here.

Now we can:

  1. Construct a new Haskell PersonT value
  2. Send the Haskell value to a protobuf struct with assign
  3. Write it to a file using writeProtobuf which uses SerializeToOstream
  4. Read that file using loadProtobuf which uses ParseFromIstream
  5. Load that protobuf struct with load
  6. Comapre the values
main = do
  let val = (Person (Name (Just "Max") Nothing) 1 "maxwell.swadling@nicta.com.au")
  person <- newPb :: IO PersonPtr
  assign person val
  writeProtobuf "person.pb" person
  
  person2 <- new :: IO PersonPtr
  readProtobuf "person.pb" person2
  val2 <- derefPb person2
  print $ val == val2

The C++ are ForeignPtrs with finalizers, so you do not need to free anything.

Working with Cabal requires extra build steps. See this project's Setup.hs for an example on how to run protoc and clang++ in the build phase.

Testing

The property above is used by QuickCheck to test the library works. The tests are located in tests/Tests.hs. Namely, for all types in Protobuf the following property holds:

testProtobuf b = do
  x <- run $ do
    p <- newPb
    assign p b
    v <- derefPb p
    return $ b == v
  assert x

By profiling the tests you can verify the library does not leak memory.

Protobuf Mangling Guide

This is a temporary measure until we make a post-processor for protobuf header files.

  • Inline functions need to be un-inlined so they are linkable. If you see something like:
Exception when trying to run compile-time code:
  symbol "Name::clear_firstname()" missing from object file
Code: protobuf "tests/person.pb.o" ''NameT

This is an inline function that must be un-inlined.

Go to the header file and search for that function name (in this case clear_firstname). You will find two occurances:

inline void clear_firstname();
...
inline void Name::clear_firstname() {
  if (firstname_ != &::google::protobuf::internal::GetEmptyStringAlreadyInited()) {
...

Remove the inline from both of these.

  • When you see the linker error that some function could not be found, it is probably still marked inline. Such as:
Undefined symbols for architecture x86_64:
  "Name::set_lastname(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&)", referenced from:
      _c73i_info in Person.o

Go to the header file and find set_lastname and remove the inline. It may also look like an field name, such as:

"Name::lastname() const", referenced from:
      _c71z_info in Person.o

Remove the inline from:

inline const ::std::string& lastname() const;

When dealing with a string setter, you only need to un-inline the std::string function. I.e.

  /*inline*/ void set_email(const ::std::string& value);
  inline void set_email(const char* value);
  inline void set_email(const char* value, size_t size);
  • We currently exchange protobuf values via "set and delete". If you see the linker error that an add_x(x *) symbol is missing, then "set and delete" needs to be implemented for that field x. For example, if the Graph::add_nodes(Node*) function is missing we need to add the following function and declaration to the header file:
// in the class
void add_nodes(Node *);

// in the impl
void Graph::add_nodes(Node *x) {
  ::Node *n = nodes_.Add();
  *n = *x;
  delete x;
}

This is currently another work around that is fixable.

Related Work

If your problem has performance constraints you may want to consider using this library. When working with large protobuf files, you may want to write file iterators / network operations in C++ and process the data in Haskell. This library lets you only pay for converting the parts of the data structure you need. You can, for example, iterate over a large file 20 elements at a time and only pull out the components of the protobuf structure you need to pass to Haskell.

Future work

  • The C++ protobuf implementations should be mangled automatically. A sufficiently complex awk program would suffice.
  • Currently it is a lot of manual work writing data structures to match the protobuf files. We should parse the protobuf files and generate the data type definitions.
  • Support unknown field data.
  • It should support Text.
  • It should use Vector instead of [] for repeated values.