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1 Commits

Author SHA1 Message Date
Wouter van Oortmerssen
5bb80bec37 Removed all unnecessary files from the Xcode project
Change-Id: I60c20e184f51906e6e2fb3880d593584aac0e2fb
Tested: on OS X
2014-06-13 11:11:54 -07:00
374 changed files with 8042 additions and 59282 deletions

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@@ -1,12 +0,0 @@
Thank you for submitting an issue!
Please make sure you include the names of the affected language(s), compiler version(s), operating system version(s), and FlatBuffers version(s) in your issue title.
This helps us get the correct maintainers to look at your issue. Here are examples of good titles:
- Crash when accessing FlatBuffer [C++, gcc 4.8, OS X, master]
- Flatc converts a protobuf 'bytes' field to 'string' in fbs schema file [all languages, FlatBuffers 1.4]
Include other details as appropriate.
Thanks!

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@@ -1,16 +0,0 @@
Thank you for submitting a PR!
Please make sure you include the names of the affected language(s) in your PR title.
This helps us get the correct maintainers to look at your issue.
If you make changes to any of the code generators, be sure to run
`cd tests && sh generate_code.sh` (or equivalent .bat) and include the generated
code changes in the PR. This allows us to better see the effect of the PR.
If your PR includes C++ code, please adhere to the Google C++ Style Guide,
and don't forget we try to support older compilers (e.g. VS2010, GCC 4.6.3),
so only some C++11 support is available.
Include other details as appropriate.
Thanks!

40
.gitignore vendored
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@@ -19,9 +19,7 @@
**/*.dir/**
**/CMakeFiles/**
**/cmake_install.cmake
**/install_manifest.txt
**/CMakeCache.txt
**/CMakeTestfile.cmake
**/Debug/**
**/Release/**
build.xml
@@ -31,44 +29,8 @@ proguard-project.txt
linklint_results
Makefile
flatc
flatc.exe
flathash
flathash.exe
flattests
flattests.exe
flatsamplebinary
flatsamplebinary.exe
flatsampletext
flatsampletext.exe
grpctest
grpctest.exe
snapshot.sh
tests/go_gen
tests/monsterdata_java_wire.mon
tests/monsterdata_go_wire.mon
tests/monsterdata_javascript_wire.mon
tests/unicode_test.mon
tests/ts/
CMakeLists.txt.user
CMakeScripts/**
CTestTestfile.cmake
FlatBuffers.cbp
build/Xcode/FlatBuffers.xcodeproj/project.xcworkspace/**
build/Xcode/FlatBuffers.xcodeproj/xcuserdata/**
FlatBuffers.xcodeproj/
java/.idea
java/*.iml
.idea
*.iml
target
**/*.pyc
build/VS2010/FlatBuffers.sdf
build/VS2010/FlatBuffers.opensdf
build/VS2010/ipch/**/*.ipch
*.so
Testing/Temporary
.cproject
.settings/
.project
net/**/obj
node_modules/

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@@ -1,31 +0,0 @@
language: cpp
os:
- linux
- osx
compiler:
- gcc
#- clang
env:
matrix:
- BUILD_TYPE=Debug BIICODE=false
- BUILD_TYPE=Release BIICODE=false
# biicode .deb files no longer available.
# - BUILD_TYPE=Release BIICODE=true
# - BUILD_TYPE=Debug BIICODE=true
global:
- GCC_VERSION="4.9"
before_install:
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo apt-get update -qq; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo apt-get install -qq g++-$GCC_VERSION; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo apt-get install -qq gcc-$GCC_VERSION; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo ln -s -v -f $(which g++-$GCC_VERSION) /usr/bin/g++; fi
- if [ "$TRAVIS_OS_NAME" == "linux" ]; then sudo ln -s -v -f $(which gcc-$GCC_VERSION) /usr/bin/gcc; fi
script:
- if [ "$BIICODE" == "false" ]; then cmake -DCMAKE_BUILD_TYPE=$BUILD_TYPE . && make && make test; fi
- if [ "$BIICODE" == "true" ] && [ "$TRAVIS_OS_NAME" == "linux" ]; then ./biicode/support/bii-travis.sh $BUILD_TYPE; fi

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@@ -1,148 +0,0 @@
# Copyright 2015 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# General function to create FlatBuffer build rules for the given list of
# schemas.
#
# flatbuffers_schemas: A list of flatbuffer schema files to process.
#
# schema_include_dirs: A list of schema file include directories, which will be
# passed to flatc via the -I parameter.
#
# custom_target_name: The generated files will be added as dependencies for a
# new custom target with this name. You should add that target as a dependency
# for your main target to ensure these files are built. You can also retrieve
# various properties from this target, such as GENERATED_INCLUDES_DIR,
# BINARY_SCHEMAS_DIR, and COPY_TEXT_SCHEMAS_DIR.
#
# additional_dependencies: A list of additional dependencies that you'd like
# all generated files to depend on. Pass in a blank string if you have none.
#
# generated_includes_dir: Where to generate the C++ header files for these
# schemas. The generated includes directory will automatically be added to
# CMake's include directories, and will be where generated header files are
# placed. This parameter is optional; pass in empty string if you don't want to
# generate include files for these schemas.
#
# binary_schemas_dir: If you specify an optional binary schema directory, binary
# schemas will be generated for these schemas as well, and placed into the given
# directory.
#
# copy_text_schemas_dir: If you want all text schemas (including schemas from
# all schema include directories) copied into a directory (for example, if you
# need them within your project to build JSON files), you can specify that
# folder here. All text schemas will be copied to that folder.
#
# IMPORTANT: Make sure you quote all list arguments you pass to this function!
# Otherwise CMake will only pass in the first element.
# Example: build_flatbuffers("${fb_files}" "${include_dirs}" target_name ...)
function(build_flatbuffers flatbuffers_schemas
schema_include_dirs
custom_target_name
additional_dependencies
generated_includes_dir
binary_schemas_dir
copy_text_schemas_dir)
# Test if including from FindFlatBuffers
if(FLATBUFFERS_FLATC_EXECUTABLE)
set(FLATC_TARGET "")
set(FLATC ${FLATBUFFERS_FLATC_EXECUTABLE})
else()
set(FLATC_TARGET flatc)
set(FLATC flatc)
endif()
set(FLATC_SCHEMA_ARGS --gen-mutable)
if(FLATBUFFERS_FLATC_SCHEMA_EXTRA_ARGS)
set(FLATC_SCHEMA_ARGS
${FLATBUFFERS_FLATC_SCHEMA_EXTRA_ARGS}
${FLATC_SCHEMA_ARGS}
)
endif()
set(schema_glob "*.fbs")
# Generate the include files parameters.
set(include_params "")
set(all_generated_files "")
foreach (include_dir ${schema_include_dirs})
set(include_params -I ${include_dir} ${include_params})
if (NOT ${copy_text_schemas_dir} STREQUAL "")
# Copy text schemas from dependent folders.
file(GLOB_RECURSE dependent_schemas ${include_dir}/${schema_glob})
foreach (dependent_schema ${dependent_schemas})
file(COPY ${dependent_schema} DESTINATION ${copy_text_schemas_dir})
endforeach()
endif()
endforeach()
foreach(schema ${flatbuffers_schemas})
get_filename_component(filename ${schema} NAME_WE)
# For each schema, do the things we requested.
if (NOT ${generated_includes_dir} STREQUAL "")
set(generated_include ${generated_includes_dir}/${filename}_generated.h)
add_custom_command(
OUTPUT ${generated_include}
COMMAND ${FLATC} ${FLATC_SCHEMA_ARGS}
-o ${generated_includes_dir}
${include_params}
-c ${schema}
DEPENDS ${FLATC_TARGET} ${schema} ${additional_dependencies})
list(APPEND all_generated_files ${generated_include})
endif()
if (NOT ${binary_schemas_dir} STREQUAL "")
set(binary_schema ${binary_schemas_dir}/${filename}.bfbs)
add_custom_command(
OUTPUT ${binary_schema}
COMMAND ${FLATC} -b --schema
-o ${binary_schemas_dir}
${include_params}
${schema}
DEPENDS ${FLATC_TARGET} ${schema} ${additional_dependencies})
list(APPEND all_generated_files ${binary_schema})
endif()
if (NOT ${copy_text_schemas_dir} STREQUAL "")
file(COPY ${schema} DESTINATION ${copy_text_schemas_dir})
endif()
endforeach()
# Create a custom target that depends on all the generated files.
# This is the target that you can depend on to trigger all these
# to be built.
add_custom_target(${custom_target_name}
DEPENDS ${all_generated_files} ${additional_dependencies})
# Register the include directory we are using.
if (NOT ${generated_includes_dir} STREQUAL "")
include_directories(${generated_includes_dir})
set_property(TARGET ${custom_target_name}
PROPERTY GENERATED_INCLUDES_DIR
${generated_includes_dir})
endif()
# Register the binary schemas dir we are using.
if (NOT ${binary_schemas_dir} STREQUAL "")
set_property(TARGET ${custom_target_name}
PROPERTY BINARY_SCHEMAS_DIR
${binary_schemas_dir})
endif()
# Register the text schema copy dir we are using.
if (NOT ${copy_text_schemas_dir} STREQUAL "")
set_property(TARGET ${custom_target_name}
PROPERTY COPY_TEXT_SCHEMAS_DIR
${copy_text_schemas_dir})
endif()
endfunction()

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@@ -1,60 +0,0 @@
# Copyright 2014 Stefan.Eilemann@epfl.ch
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Find the flatbuffers schema compiler
#
# Output Variables:
# * FLATBUFFERS_FLATC_EXECUTABLE the flatc compiler executable
# * FLATBUFFERS_FOUND
#
# Provides:
# * FLATBUFFERS_GENERATE_C_HEADERS(Name <files>) creates the C++ headers
# for the given flatbuffer schema files.
# Returns the header files in ${Name}_OUTPUTS
set(FLATBUFFERS_CMAKE_DIR ${CMAKE_CURRENT_LIST_DIR})
find_program(FLATBUFFERS_FLATC_EXECUTABLE NAMES flatc)
find_path(FLATBUFFERS_INCLUDE_DIR NAMES flatbuffers/flatbuffers.h)
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(flatbuffers
DEFAULT_MSG FLATBUFFERS_FLATC_EXECUTABLE FLATBUFFERS_INCLUDE_DIR)
if(FLATBUFFERS_FOUND)
function(FLATBUFFERS_GENERATE_C_HEADERS Name)
set(FLATC_OUTPUTS)
foreach(FILE ${ARGN})
get_filename_component(FLATC_OUTPUT ${FILE} NAME_WE)
set(FLATC_OUTPUT
"${CMAKE_CURRENT_BINARY_DIR}/${FLATC_OUTPUT}_generated.h")
list(APPEND FLATC_OUTPUTS ${FLATC_OUTPUT})
add_custom_command(OUTPUT ${FLATC_OUTPUT}
COMMAND ${FLATBUFFERS_FLATC_EXECUTABLE}
ARGS -c -o "${CMAKE_CURRENT_BINARY_DIR}/" ${FILE}
COMMENT "Building C++ header for ${FILE}"
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
endforeach()
set(${Name}_OUTPUTS ${FLATC_OUTPUTS} PARENT_SCOPE)
endfunction()
set(FLATBUFFERS_INCLUDE_DIRS ${FLATBUFFERS_INCLUDE_DIR})
include_directories(${CMAKE_BINARY_DIR})
else()
set(FLATBUFFERS_INCLUDE_DIR)
endif()
include("${FLATBUFFERS_CMAKE_DIR}/BuildFlatBuffers.cmake")

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@@ -1,57 +0,0 @@
# ------------------- Debianization ---------------------
if (UNIX)
# Set build environment
SET(CPACK_GENERATOR "TGZ;DEB")
SET(CPACK_SOURCE_TGZ "ON")
# Common package information
SET(CPACK_PACKAGE_DESCRIPTION_SUMMARY
"FlatBuffers is an efficient cross platform serialization library for C++, with support for Java, C# and Go. It was created at Google specifically for game development and other performance-critical applications.")
SET(CPACK_DEBIAN_PACKAGE_HOMEPAGE "https://github.com/google/flatbuffers")
SET(CPACK_DEBIAN_PACKAGE_MAINTAINER "Vitaly Isaev <vitalyisaev2@gmail.com>")
# Derive package version from git
EXECUTE_PROCESS(
COMMAND date +%Y%m%d
OUTPUT_VARIABLE DATE
OUTPUT_STRIP_TRAILING_WHITESPACE
)
EXECUTE_PROCESS(
COMMAND git describe
WORKING_DIRECTORY ${CMAKE_SOURCE_DIR}
OUTPUT_VARIABLE GIT_DESCRIBE_DIRTY
OUTPUT_STRIP_TRAILING_WHITESPACE
)
string(REGEX REPLACE "^v([0-9]+)\\..*" "\\1" VERSION_MAJOR "${GIT_DESCRIBE_DIRTY}")
string(REGEX REPLACE "^v[0-9]+\\.([0-9]+).*" "\\1" VERSION_MINOR "${GIT_DESCRIBE_DIRTY}")
string(REGEX REPLACE "^v[0-9]+\\.[0-9]+\\.([0-9]+).*" "\\1" VERSION_PATCH "${GIT_DESCRIBE_DIRTY}")
string(REGEX REPLACE "^v[0-9]+\\.[0-9]+\\.[0-9]+\\-([0-9]+).*" "\\1" VERSION_COMMIT "${GIT_DESCRIBE_DIRTY}")
SET(CPACK_PACKAGE_VERSION_MAJOR ${VERSION_MAJOR})
SET(CPACK_PACKAGE_VERSION_MINOR ${VERSION_MINOR})
SET(CPACK_PACKAGE_VERSION_PATCH ${VERSION_PATCH})
SET(CPACK_PACKAGE_VERSION "${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_PATCH}-${VERSION_COMMIT}")
SET(CPACK_DEBIAN_PACKAGE_VERSION "${CPACK_PACKAGE_VERSION}")
# Derive architecture
IF(NOT CPACK_DEBIAN_PACKAGE_ARCHITECTURE)
FIND_PROGRAM(DPKG_CMD dpkg)
IF(NOT DPKG_CMD)
MESSAGE(STATUS "Can not find dpkg in your path, default to i386.")
SET(CPACK_DEBIAN_PACKAGE_ARCHITECTURE i386)
ENDIF(NOT DPKG_CMD)
EXECUTE_PROCESS(COMMAND "${DPKG_CMD}" --print-architecture
OUTPUT_VARIABLE CPACK_DEBIAN_PACKAGE_ARCHITECTURE
OUTPUT_STRIP_TRAILING_WHITESPACE
)
ENDIF(NOT CPACK_DEBIAN_PACKAGE_ARCHITECTURE)
# Package name
SET(CPACK_DEBIAN_PACKAGE_NAME "flatbuffers")
SET(CPACK_RESOURCE_FILE_LICENSE ${CMAKE_SOURCE_DIR}/LICENSE.txt)
SET(CPACK_PACKAGE_FILE_NAME
"${CPACK_DEBIAN_PACKAGE_NAME}_${CPACK_DEBIAN_PACKAGE_VERSION}_${CPACK_DEBIAN_PACKAGE_ARCHITECTURE}")
endif(UNIX)
INCLUDE(CPack)

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@@ -4,259 +4,73 @@ project(FlatBuffers)
# NOTE: Code coverage only works on Linux & OSX.
option(FLATBUFFERS_CODE_COVERAGE "Enable the code coverage build option." OFF)
option(FLATBUFFERS_BUILD_TESTS "Enable the build of tests and samples." ON)
option(FLATBUFFERS_INSTALL "Enable the installation of targets." ON)
option(FLATBUFFERS_BUILD_FLATLIB "Enable the build of the flatbuffers library"
ON)
option(FLATBUFFERS_BUILD_FLATC "Enable the build of the flatbuffers compiler"
ON)
option(FLATBUFFERS_BUILD_FLATHASH "Enable the build of flathash" ON)
option(FLATBUFFERS_BUILD_GRPCTEST "Enable the build of grpctest" OFF)
option(FLATBUFFERS_BUILD_SHAREDLIB
"Enable the build of the flatbuffers shared library"
OFF)
if(NOT FLATBUFFERS_BUILD_FLATC AND FLATBUFFERS_BUILD_TESTS)
message(WARNING
"Cannot build tests without building the compiler. Tests will be disabled.")
set(FLATBUFFERS_BUILD_TESTS OFF)
endif()
set(FlatBuffers_Library_SRCS
include/flatbuffers/code_generators.h
include/flatbuffers/base.h
include/flatbuffers/flatbuffers.h
include/flatbuffers/hash.h
include/flatbuffers/idl.h
include/flatbuffers/util.h
include/flatbuffers/reflection.h
include/flatbuffers/reflection_generated.h
include/flatbuffers/flexbuffers.h
include/flatbuffers/registry.h
src/code_generators.cpp
src/idl_parser.cpp
src/idl_gen_text.cpp
src/reflection.cpp
src/util.cpp
)
set(FlatBuffers_Compiler_SRCS
${FlatBuffers_Library_SRCS}
include/flatbuffers/flatbuffers.h
include/flatbuffers/idl.h
include/flatbuffers/util.h
src/idl_parser.cpp
src/idl_gen_cpp.cpp
src/idl_gen_general.cpp
src/idl_gen_go.cpp
src/idl_gen_js.cpp
src/idl_gen_php.cpp
src/idl_gen_python.cpp
src/idl_gen_fbs.cpp
src/idl_gen_grpc.cpp
src/idl_gen_java.cpp
src/idl_gen_text.cpp
src/flatc.cpp
src/flatc_main.cpp
grpc/src/compiler/schema_interface.h
grpc/src/compiler/cpp_generator.h
grpc/src/compiler/cpp_generator.cc
grpc/src/compiler/go_generator.h
grpc/src/compiler/go_generator.cc
)
set(FlatHash_SRCS
include/flatbuffers/hash.h
src/flathash.cpp
)
set(FlatBuffers_Tests_SRCS
${FlatBuffers_Library_SRCS}
src/idl_gen_fbs.cpp
include/flatbuffers/flatbuffers.h
include/flatbuffers/idl.h
include/flatbuffers/util.h
src/idl_parser.cpp
src/idl_gen_text.cpp
tests/test.cpp
# file generate by running compiler on tests/monster_test.fbs
${CMAKE_CURRENT_BINARY_DIR}/tests/monster_test_generated.h
tests/monster_test_generated.h
)
set(FlatBuffers_Sample_Binary_SRCS
include/flatbuffers/flatbuffers.h
samples/sample_binary.cpp
# file generated by running compiler on samples/monster.fbs
${CMAKE_CURRENT_BINARY_DIR}/samples/monster_generated.h
# file generate by running compiler on samples/monster.fbs
samples/monster_generated.h
)
set(FlatBuffers_Sample_Text_SRCS
${FlatBuffers_Library_SRCS}
include/flatbuffers/flatbuffers.h
include/flatbuffers/idl.h
include/flatbuffers/util.h
src/idl_parser.cpp
src/idl_gen_text.cpp
samples/sample_text.cpp
# file generated by running compiler on samples/monster.fbs
${CMAKE_CURRENT_BINARY_DIR}/samples/monster_generated.h
# file generate by running compiler on samples/monster.fbs
samples/monster_generated.h
)
set(FlatBuffers_GRPCTest_SRCS
include/flatbuffers/flatbuffers.h
include/flatbuffers/grpc.h
tests/monster_test.grpc.fb.h
tests/monster_test.grpc.fb.cc
grpc/tests/grpctest.cpp
# file generated by running compiler on samples/monster.fbs
${CMAKE_CURRENT_BINARY_DIR}/samples/monster_generated.h
)
set(CMAKE_BUILD_TYPE Debug)
# source_group(Compiler FILES ${FlatBuffers_Compiler_SRCS})
# source_group(Tests FILES ${FlatBuffers_Tests_SRCS})
if(EXISTS "${CMAKE_TOOLCHAIN_FILE}")
# do not apply any global settings if the toolchain
# is being configured externally
elseif(APPLE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -stdlib=libc++")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -pedantic -Werror -Wextra -Wno-unused-parameter")
elseif(CMAKE_COMPILER_IS_GNUCXX)
if(CYGWIN)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -std=gnu++11")
else(CYGWIN)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -std=c++0x")
endif(CYGWIN)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -Wall -pedantic -Werror -Wextra -Werror=shadow")
if (GCC_VERSION VERSION_GREATER 4.4)
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -Wunused-result -Werror=unused-result \
-Wunused-parameter -Werror=unused-parameter")
endif()
# Certain platforms such as ARM do not use signed chars by default
# which causes issues with certain bounds checks.
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -fsigned-char")
elseif(${CMAKE_CXX_COMPILER_ID} MATCHES "Clang")
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -std=c++0x -Wall -pedantic -Werror \
-Wextra -Wno-unused-parameter")
if(NOT "${CMAKE_SYSTEM_NAME}" MATCHES "Linux")
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -stdlib=libc++")
endif()
if(NOT ("${CMAKE_SYSTEM_NAME}" MATCHES "FreeBSD" OR
"${CMAKE_SYSTEM_NAME}" MATCHES "Linux"))
set(CMAKE_EXE_LINKER_FLAGS
"${CMAKE_EXE_LINKER_FLAGS} -lc++abi")
endif()
# Certain platforms such as ARM do not use signed chars by default
# which causes issues with certain bounds checks.
set(CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS} -fsigned-char")
elseif(MSVC)
# Visual Studio pedantic build settings
# warning C4512: assignment operator could not be generated
# warning C4316: object allocated on the heap may not be aligned
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /W4 /WX /wd4512 /wd4316")
if(CMAKE_COMPILER_IS_GNUCXX)
add_definitions("-std=c++0x")
add_definitions("-Wall")
endif()
if("${CMAKE_CXX_COMPILER_ID}" MATCHES "Clang")
add_definitions("-std=c++0x")
endif()
if(FLATBUFFERS_CODE_COVERAGE)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -fprofile-arcs -ftest-coverage")
set(CMAKE_EXE_LINKER_FLAGS
"${CMAKE_EXE_LINKER_FLAGS} -fprofile-arcs -ftest-coverage")
endif()
if(BIICODE)
include(biicode/cmake/biicode.cmake)
return()
add_definitions("-g -fprofile-arcs -ftest-coverage")
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -fprofile-arcs -ftest-coverage")
endif()
include_directories(include)
include_directories(grpc)
if(FLATBUFFERS_BUILD_FLATLIB)
add_library(flatbuffers STATIC ${FlatBuffers_Library_SRCS})
endif()
add_executable(flatc ${FlatBuffers_Compiler_SRCS})
add_executable(flattests ${FlatBuffers_Tests_SRCS})
add_executable(flatsamplebinary ${FlatBuffers_Sample_Binary_SRCS})
add_executable(flatsampletext ${FlatBuffers_Sample_Text_SRCS})
if(FLATBUFFERS_BUILD_FLATC)
add_executable(flatc ${FlatBuffers_Compiler_SRCS})
if(NOT FLATBUFFERS_FLATC_EXECUTABLE)
set(FLATBUFFERS_FLATC_EXECUTABLE $<TARGET_FILE:flatc>)
endif()
if(MSVC)
# Make flatc.exe not depend on runtime dlls for easy distribution.
target_compile_options(flatc PUBLIC $<$<CONFIG:Release>:/MT>)
endif()
endif()
if(FLATBUFFERS_BUILD_FLATHASH)
add_executable(flathash ${FlatHash_SRCS})
endif()
if(FLATBUFFERS_BUILD_SHAREDLIB)
add_library(flatbuffers_shared SHARED ${FlatBuffers_Library_SRCS})
set_target_properties(flatbuffers_shared PROPERTIES OUTPUT_NAME flatbuffers)
endif()
function(compile_flatbuffers_schema_to_cpp SRC_FBS)
get_filename_component(SRC_FBS_DIR ${SRC_FBS} PATH)
string(REGEX REPLACE "\\.fbs$" "_generated.h" GEN_HEADER ${SRC_FBS})
add_custom_command(
OUTPUT ${GEN_HEADER}
COMMAND "${FLATBUFFERS_FLATC_EXECUTABLE}" -c --no-includes --gen-mutable
--gen-object-api -o "${SRC_FBS_DIR}"
-I "${CMAKE_CURRENT_SOURCE_DIR}/tests/include_test"
"${CMAKE_CURRENT_SOURCE_DIR}/${SRC_FBS}"
DEPENDS flatc)
endfunction()
function(compile_flatbuffers_schema_to_binary SRC_FBS)
get_filename_component(SRC_FBS_DIR ${SRC_FBS} PATH)
string(REGEX REPLACE "\\.fbs$" ".bfbs" GEN_BINARY_SCHEMA ${SRC_FBS})
add_custom_command(
OUTPUT ${GEN_BINARY_SCHEMA}
COMMAND "${FLATBUFFERS_FLATC_EXECUTABLE}" -b --schema -o "${SRC_FBS_DIR}"
"${CMAKE_CURRENT_SOURCE_DIR}/${SRC_FBS}"
DEPENDS flatc)
endfunction()
if(FLATBUFFERS_BUILD_TESTS)
compile_flatbuffers_schema_to_cpp(tests/monster_test.fbs)
include_directories(${CMAKE_CURRENT_BINARY_DIR}/tests)
add_executable(flattests ${FlatBuffers_Tests_SRCS})
set_property(TARGET flattests
PROPERTY COMPILE_DEFINITIONS FLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
FLATBUFFERS_DEBUG_VERIFICATION_FAILURE=1)
compile_flatbuffers_schema_to_cpp(samples/monster.fbs)
include_directories(${CMAKE_CURRENT_BINARY_DIR}/samples)
add_executable(flatsamplebinary ${FlatBuffers_Sample_Binary_SRCS})
add_executable(flatsampletext ${FlatBuffers_Sample_Text_SRCS})
endif()
if(FLATBUFFERS_BUILD_GRPCTEST)
if(CMAKE_COMPILER_IS_GNUCXX)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter -Wno-shadow")
endif()
add_executable(grpctest ${FlatBuffers_GRPCTest_SRCS})
target_link_libraries(grpctest grpc++_unsecure pthread dl)
endif()
if(FLATBUFFERS_INSTALL)
install(DIRECTORY include/flatbuffers DESTINATION include)
if(FLATBUFFERS_BUILD_FLATLIB)
install(TARGETS flatbuffers DESTINATION lib)
endif()
if(FLATBUFFERS_BUILD_FLATC)
install(TARGETS flatc DESTINATION bin)
endif()
if(FLATBUFFERS_BUILD_SHAREDLIB)
install(TARGETS flatbuffers_shared DESTINATION lib)
endif()
endif()
if(FLATBUFFERS_BUILD_TESTS)
enable_testing()
file(COPY "${CMAKE_CURRENT_SOURCE_DIR}/tests" DESTINATION
"${CMAKE_CURRENT_BINARY_DIR}")
add_test(NAME flattests COMMAND flattests)
endif()
include(CMake/BuildFlatBuffers.cmake)
if(FLATBUFFERS_PACKAGE_DEBIAN)
include(CMake/PackageDebian.cmake)
endif()
add_test(NAME flattest
CONFIGURATIONS Debug
WORKING_DIRECTORY tests
COMMAND flattests)

View File

@@ -1,42 +0,0 @@
Contributing {#contributing}
============
Want to contribute? Great! First, read this page (including the small print at
the end).
# Before you contribute
Before we can use your code, you must sign the
[Google Individual Contributor License Agreement](https://developers.google.com/open-source/cla/individual?csw=1)
(CLA), which you can do online. The CLA is necessary mainly because you own the
copyright to your changes, even after your contribution becomes part of our
codebase, so we need your permission to use and distribute your code. We also
need to be sure of various other things—for instance that you'll tell us if you
know that your code infringes on other people's patents. You don't have to sign
the CLA until after you've submitted your code for review and a member has
approved it, but you must do it before we can put your code into our codebase.
Before you start working on a larger contribution, you should get in touch with
us first through the issue tracker with your idea so that we can help out and
possibly guide you. Coordinating up front makes it much easier to avoid
frustration later on.
# Code reviews
All submissions, including submissions by project members, require review. We
use Github pull requests for this purpose.
Some tips for good pull requests:
* Use our code
[style guide](https://google.github.io/styleguide/cppguide.html).
When in doubt, try to stay true to the existing code of the project.
* Write a descriptive commit message. What problem are you solving and what
are the consequences? Where and what did you test? Some good tips:
[here](http://robots.thoughtbot.com/5-useful-tips-for-a-better-commit-message)
and [here](https://www.kernel.org/doc/Documentation/SubmittingPatches).
* If your PR consists of multiple commits which are successive improvements /
fixes to your first commit, consider squashing them into a single commit
(`git rebase -i`) such that your PR is a single commit on top of the current
HEAD. This make reviewing the code so much easier, and our history more
readable.
# The small print
Contributions made by corporations are covered by a different agreement than
the one above, the Software Grant and Corporate Contributor License Agreement.

2
LICENSE.txt Normal file → Executable file
View File

@@ -187,7 +187,7 @@
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright 2014 Google Inc.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.

View File

@@ -1,5 +1,4 @@
#!/bin/bash -eu
#
# Copyright (c) 2013 Google, Inc.
#
# This software is provided 'as-is', without any express or implied
@@ -236,16 +235,10 @@ select_android_build_target() {
local android_build_target=
for android_target in $(echo "${android_targets_installed}" | \
awk -F- '{ print $2 }' | sort -n); do
local isNumber='^[0-9]+$'
# skip preview API releases e.g. 'android-L'
if [[ $android_target =~ $isNumber ]]; then
if [[ $((android_target)) -ge \
if [[ $((android_target)) -ge \
$((BUILDAPK_ANDROID_TARGET_MINVERSION)) ]]; then
android_build_target="android-${android_target}"
break
fi
# else
# The API version is a letter, so skip it.
android_build_target="android-${android_target}"
break
fi
done
if [[ "${android_build_target}" == "" ]]; then
@@ -422,18 +415,14 @@ main() {
local build_package=1
for opt; do
case ${opt} in
# NDK_DEBUG=0 tells ndk-build to build this as debuggable but to not
# modify the underlying code whereas NDK_DEBUG=1 also builds as debuggable
# but does modify the code
NDK_DEBUG=1) ant_target=debug ;;
NDK_DEBUG=0) ant_target=debug ;;
ADB_DEVICE*) adb_device="$(\
echo "${opt}" | sed -E 's/^ADB_DEVICE=([^ ]+)$/-s \1/;t;s/.*//')" ;;
BUILD=0) disable_build=1 ;;
DEPLOY=0) disable_deploy=1 ;;
RUN_DEBUGGER=1) run_debugger=1 ;;
LAUNCH=0) launch=0 ;;
clean) build_package=0 disable_deploy=1 launch=0 ;;
clean) build_package=0 ;;
-h|--help|help) usage ;;
esac
done

View File

@@ -14,45 +14,20 @@
# misrepresented as being the original software.
# 3. This notice may not be removed or altered from any source distribution.
LOCAL_PATH := $(call my-dir)/../..
LOCAL_PATH := $(call my-dir)
include $(LOCAL_PATH)/android/jni/include.mk
LOCAL_PATH := $(call realpath-portable,$(LOCAL_PATH))
# Empty static library so that other projects can include just the basic
# FlatBuffers headers as a module.
include $(CLEAR_VARS)
LOCAL_MODULE := flatbuffers
LOCAL_EXPORT_C_INCLUDES := $(LOCAL_PATH)/include
LOCAL_EXPORT_CPPFLAGS := -std=c++11 -fexceptions -Wall \
-DFLATBUFFERS_TRACK_VERIFIER_BUFFER_SIZE
include $(BUILD_STATIC_LIBRARY)
LOCAL_MODULE := FlatBufferTest
LOCAL_C_INCLUDES := $(LOCAL_PATH)/../../include
LOCAL_SRC_FILES := main.cpp ../../tests/test.cpp ../../src/idl_parser.cpp ../../src/idl_gen_text.cpp
LOCAL_LDLIBS := -llog -landroid
LOCAL_STATIC_LIBRARIES := android_native_app_glue
LOCAL_ARM_MODE:=arm
LOCAL_CPPFLAGS += -std=c++11 -fexceptions -Wall -Wno-literal-suffix
# static library that additionally includes text parsing/generation/reflection
# for projects that want richer functionality.
include $(CLEAR_VARS)
LOCAL_MODULE := flatbuffers_extra
LOCAL_SRC_FILES := src/idl_parser.cpp \
src/idl_gen_text.cpp \
src/reflection.cpp \
src/util.cpp \
src/code_generators.cpp
LOCAL_STATIC_LIBRARIES := flatbuffers
include $(BUILD_STATIC_LIBRARY)
# FlatBuffers test
include $(CLEAR_VARS)
LOCAL_MODULE := FlatBufferTest
LOCAL_SRC_FILES := android/jni/main.cpp \
tests/test.cpp \
src/idl_gen_fbs.cpp \
src/idl_gen_general.cpp
LOCAL_LDLIBS := -llog -landroid
LOCAL_STATIC_LIBRARIES := android_native_app_glue flatbuffers_extra
LOCAL_ARM_MODE := arm
include $(BUILD_SHARED_LIBRARY)
$(call import-module,android/native_app_glue)
$(call import-add-path,$(LOCAL_PATH)/../..)
$(call import-add-path,../..)

View File

@@ -18,5 +18,5 @@ APP_PROJECT_PATH := $(call my-dir)/..
APP_STL := gnustl_static
APP_ABI := armeabi-v7a
NDK_TOOLCHAIN_VERSION := 4.8
APP_CPPFLAGS += -std=c++11

View File

@@ -1,68 +0,0 @@
@rem Copyright (c) 2013 Google, Inc.
@rem
@rem This software is provided 'as-is', without any express or implied
@rem warranty. In no event will the authors be held liable for any damages
@rem arising from the use of this software.
@rem Permission is granted to anyone to use this software for any purpose,
@rem including commercial applications, and to alter it and redistribute it
@rem freely, subject to the following restrictions:
@rem 1. The origin of this software must not be misrepresented; you must not
@rem claim that you wrote the original software. If you use this software
@rem in a product, an acknowledgment in the product documentation would be
@rem appreciated but is not required.
@rem 2. Altered source versions must be plainly marked as such, and must not be
@rem misrepresented as being the original software.
@rem 3. This notice may not be removed or altered from any source distribution.
@echo off
setlocal enabledelayedexpansion
set thispath=%~dp0
rem Path to cmake passed in by caller.
set cmake=%1
rem Path to cmake project to build.
set cmake_project_path=%2
rem Newest and oldest version of Visual Studio that it's possible to select.
set visual_studio_version_max=20
set visual_studio_version_min=8
rem Determine the newest version of Visual Studio installed on this machine.
set visual_studio_version=
for /L %%a in (%visual_studio_version_max%,-1,%visual_studio_version_min%) do (
echo Searching for Visual Studio %%a >&2
reg query HKLM\SOFTWARE\Microsoft\VisualStudio\%%a.0 /ve 1>NUL 2>NUL
if !ERRORLEVEL! EQU 0 (
set visual_studio_version=%%a
goto found_vs
)
)
echo Unable to determine whether Visual Studio is installed. >&2
exit /B 1
:found_vs
rem Map Visual Studio version to cmake generator name.
if "%visual_studio_version%"=="8" (
set cmake_generator=Visual Studio 8 2005
)
if "%visual_studio_version%"=="9" (
set cmake_generator=Visual Studio 9 2008
)
if %visual_studio_version% GEQ 10 (
set cmake_generator=Visual Studio %visual_studio_version%
)
rem Set visual studio version variable for msbuild.
set VisualStudioVersion=%visual_studio_version%.0
rem Generate Visual Studio solution.
echo Generating solution for %cmake_generator%. >&2
cd "%cmake_project_path%"
%cmake% -G"%cmake_generator%"
if %ERRORLEVEL% NEQ 0 (
exit /B %ERRORLEVEL%
)
rem Build flatc
python %thispath%\msbuild.py flatc.vcxproj
if ERRORLEVEL 1 exit /B 1

View File

@@ -1,237 +0,0 @@
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This file contains utility functions for Android projects using Flatbuffers.
# To use this file, include it in your project's Android.mk by calling near the
# top of your android makefile like so:
#
# include $(FLATBUFFERS_DIR)/android/jni/include.mk
#
# You will also need to import the flatbuffers module using the standard
# import-module function.
#
# The main functionality this file provides are the following functions:
# flatbuffers_fbs_to_h: Converts flatbuffer schema paths to header paths.
# flatbuffers_header_build_rule:
# Creates a build rule for a schema's generated header. This build rule
# has a dependency on the flatc compiler which will be built if necessary.
# flatbuffers_header_build_rules:
# Creates build rules for generated headers for each schema listed and sets
# up depenedendies.
#
# More information and example usage can be found in the comments preceeding
# each function.
# Targets to build the Flatbuffers compiler as well as some utility definitions
ifeq (,$(FLATBUFFERS_INCLUDE_MK_))
FLATBUFFERS_INCLUDE_MK_ := 1
# Portable version of $(realpath) that omits drive letters on Windows.
realpath-portable = $(join $(filter %:,$(subst :,: ,$1)),\
$(realpath $(filter-out %:,$(subst :,: ,$1))))
PROJECT_OS := $(OS)
ifeq (,$(OS))
PROJECT_OS := $(shell uname -s)
else
ifneq ($(findstring Windows,$(PROJECT_OS)),)
PROJECT_OS := Windows
endif
endif
# The following block generates build rules which result in headers being
# rebuilt from flatbuffers schemas.
FLATBUFFERS_CMAKELISTS_DIR := \
$(call realpath-portable,$(dir $(lastword $(MAKEFILE_LIST)))/../..)
# Directory that contains the FlatBuffers compiler.
ifeq (Windows,$(PROJECT_OS))
FLATBUFFERS_FLATC_PATH?=$(FLATBUFFERS_CMAKELISTS_DIR)
FLATBUFFERS_FLATC := $(lastword \
$(wildcard $(FLATBUFFERS_FLATC_PATH)/*/flatc.exe) \
$(wildcard $(FLATBUFFERS_FLATC_PATH)/flatc.exe))
endif
ifeq (Linux,$(PROJECT_OS))
FLATBUFFERS_FLATC_PATH?=$(FLATBUFFERS_CMAKELISTS_DIR)
FLATBUFFERS_FLATC := $(FLATBUFFERS_FLATC_PATH)/flatc
endif
ifeq (Darwin,$(PROJECT_OS))
FLATBUFFERS_FLATC_PATH?=$(FLATBUFFERS_CMAKELISTS_DIR)
FLATBUFFERS_FLATC := $(lastword \
$(wildcard $(FLATBUFFERS_FLATC_PATH)/*/flatc) \
$(wildcard $(FLATBUFFERS_FLATC_PATH)/flatc))
endif
FLATBUFFERS_FLATC_ARGS?=
# Search for cmake.
CMAKE_ROOT := \
$(call realpath-portable,$(LOCAL_PATH)/../../../../../../prebuilts/cmake)
ifeq (,$(CMAKE))
ifeq (Linux,$(PROJECT_OS))
CMAKE := $(wildcard $(CMAKE_ROOT)/linux-x86/current/bin/cmake*)
endif
ifeq (Darwin,$(PROJECT_OS))
CMAKE := \
$(wildcard $(CMAKE_ROOT)/darwin-x86_64/current/*.app/Contents/bin/cmake)
endif
ifeq (Windows,$(PROJECT_OS))
CMAKE := $(wildcard $(CMAKE_ROOT)/windows/current/bin/cmake*)
endif
endif
ifeq (,$(CMAKE))
CMAKE := cmake
endif
# Windows friendly portable local path.
# GNU-make doesn't like : in paths, must use relative paths on Windows.
ifeq (Windows,$(PROJECT_OS))
PORTABLE_LOCAL_PATH =
else
PORTABLE_LOCAL_PATH = $(LOCAL_PATH)/
endif
# Generate a host build rule for the flatbuffers compiler.
ifeq (Windows,$(PROJECT_OS))
define build_flatc_recipe
$(FLATBUFFERS_CMAKELISTS_DIR)\android\jni\build_flatc.bat \
$(CMAKE) $(FLATBUFFERS_CMAKELISTS_DIR)
endef
endif
ifeq (Linux,$(PROJECT_OS))
define build_flatc_recipe
+cd $(FLATBUFFERS_CMAKELISTS_DIR) && \
$(CMAKE) . && \
$(MAKE) flatc
endef
endif
ifeq (Darwin,$(PROJECT_OS))
define build_flatc_recipe
cd $(FLATBUFFERS_CMAKELISTS_DIR) && "$(CMAKE)" -GXcode . && \
xcodebuild -target flatc
endef
endif
ifeq (,$(build_flatc_recipe))
ifeq (,$(FLATBUFFERS_FLATC))
$(error flatc binary not found!)
endif
endif
# Generate a build rule for flatc.
ifeq ($(strip $(FLATBUFFERS_FLATC)),)
flatc_target := build_flatc
.PHONY: $(flatc_target)
FLATBUFFERS_FLATC := \
python $(FLATBUFFERS_CMAKELISTS_DIR)/android/jni/run_flatc.py \
$(FLATBUFFERS_CMAKELISTS_DIR)
else
flatc_target := $(FLATBUFFERS_FLATC)
endif
$(flatc_target):
$(call build_flatc_recipe)
# $(flatbuffers_fbs_to_h schema_dir,output_dir,path)
#
# Convert the specified schema path to a Flatbuffers generated header path.
# For example:
#
# $(call flatbuffers_fbs_to_h,$(MY_PROJ_DIR)/schemas,\
# $(MY_PROJ_DIR)/gen/include,$(MY_PROJ_DIR)/schemas/example.fbs)
#
# This will convert the file path `$(MY_PROJ_DIR)/schemas/example.fbs)` to
# `$(MY_PROJ_DIR)/gen/include/example_generated.h`
define flatbuffers_fbs_to_h
$(subst $(1),$(2),$(patsubst %.fbs,%_generated.h,$(3)))
endef
# $(flatbuffers_header_build_rule schema_file,schema_dir,output_dir,\
# schema_include_dirs)
#
# Generate a build rule that will convert a Flatbuffers schema to a generated
# header derived from the schema filename using flatbuffers_fbs_to_h. For
# example:
#
# $(call flatbuffers_header_build_rule,$(MY_PROJ_DIR)/schemas/example.fbs,\
# $(MY_PROJ_DIR)/schemas,$(MY_PROJ_DIR)/gen/include)
#
# The final argument, schema_include_dirs, is optional and is only needed when
# the schema files depend on other schema files outside their own directory.
define flatbuffers_header_build_rule
$(eval \
$(call flatbuffers_fbs_to_h,$(2),$(3),$(1)): $(1) $(flatc_target)
$(call host-echo-build-step,generic,Generate) \
$(subst $(LOCAL_PATH)/,,$(call flatbuffers_fbs_to_h,$(2),$(3),$(1)))
$(hide) $$(FLATBUFFERS_FLATC) $(FLATBUFFERS_FLATC_ARGS) \
$(foreach include,$(4),-I $(include)) -o $$(dir $$@) -c $$<)
endef
# TODO: Remove when the LOCAL_PATH expansion bug in the NDK is fixed.
# Override the default behavior of local-source-file-path to workaround
# a bug which prevents the build of deeply nested projects when NDK_OUT is
# set.
local-source-file-path=\
$(if $(call host-path-is-absolute,$1),$1,$(call \
realpath-portable,$(LOCAL_PATH)/$1))
# $(flatbuffers_header_build_rules schema_files,schema_dir,output_dir,\
# schema_include_dirs,src_files,[build_target],[dependencies]))
#
# $(1) schema_files: Space separated list of flatbuffer schema files.
# $(2) schema_dir: Directory containing the flatbuffer schemas.
# $(3) output_dir: Where to place the generated files.
# $(4) schema_include_dirs: Directories to include when generating schemas.
# $(5) src_files: Files that should depend upon the headers generated from the
# flatbuffer schemas.
# $(6) build_target: Name of a build target that depends upon all generated
# headers.
# $(7) dependencies: Space seperated list of additional build targets src_files
# should depend upon.
#
# Use this in your own Android.mk file to generate build rules that will
# generate header files for your flatbuffer schemas as well as automatically
# set your source files to be dependent on the generated headers. For example:
#
# $(call flatbuffers_header_build_rules,$(MY_PROJ_SCHEMA_FILES),\
# $(MY_PROJ_SCHEMA_DIR),$(MY_PROJ_GENERATED_OUTPUT_DIR),
# $(MY_PROJ_SCHEMA_INCLUDE_DIRS),$(LOCAL_SRC_FILES))
#
# NOTE: Due problesm with path processing in ndk-build when presented with
# deeply nested projects must redefine LOCAL_PATH after include this makefile
# using:
#
# LOCAL_PATH := $(call realpath-portable,$(LOCAL_PATH))
#
define flatbuffers_header_build_rules
$(foreach schema,$(1),\
$(call flatbuffers_header_build_rule,\
$(schema),$(strip $(2)),$(strip $(3)),$(strip $(4))))\
$(foreach src,$(strip $(5)),\
$(eval $(call local-source-file-path,$(src)): \
$(foreach schema,$(strip $(1)),\
$(call flatbuffers_fbs_to_h,$(strip $(2)),$(strip $(3)),$(schema)))))\
$(if $(6),\
$(foreach schema,$(strip $(1)),\
$(eval $(6): \
$(call flatbuffers_fbs_to_h,$(strip $(2)),$(strip $(3)),$(schema)))),)\
$(if $(7),\
$(foreach src,$(strip $(5)),\
$(eval $(call local-source-file-path,$(src)): $(strip $(7)))),)\
$(if $(7),\
$(foreach dependency,$(strip $(7)),\
$(eval $(6): $(dependency))),)
endef
endif # FLATBUFFERS_INCLUDE_MK_

0
android/jni/main.cpp Normal file → Executable file
View File

View File

@@ -1,77 +0,0 @@
#!/usr/bin/python
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Simple script that locates the newest MSBuild in one of several locations.
This script will find the highest version number of MSBuild and run it,
passing its arguments through to MSBuild.
"""
import glob
import os
import re
import string
import subprocess
import sys
SYSTEMROOT = os.getenv("SYSTEMROOT", "c:\\windows")
PROGRAM_FILES = os.getenv("ProgramFiles", "c:\\Program Files")
PROGRAM_FILES_X86 = os.getenv("ProgramFiles(x86)", "c:\\Program Files (x86)")
SEARCH_FOLDERS = [ PROGRAM_FILES + "\\MSBuild\\*\\Bin\\MSBuild.exe",
PROGRAM_FILES_X86 + "\\MSBuild\\*\\Bin\\MSBuild.exe",
SYSTEMROOT + "\\Microsoft.NET\Framework\\*\\MSBuild.exe" ]
def compare_version(a, b):
"""Compare two version number strings of the form W.X.Y.Z.
The numbers are compared most-significant to least-significant.
For example, 12.345.67.89 > 2.987.88.99.
Args:
a: First version number string to compare
b: Second version number string to compare
Returns:
0 if the numbers are identical, a positive number if 'a' is larger, and
a negative number if 'b' is larger.
"""
aa = string.split(a, ".")
bb = string.split(b, ".")
for i in range(0, 4):
if aa[i] != bb[i]:
return cmp(int(aa[i]), int(bb[i]))
return 0
def main():
msbuilds = []
for folder in SEARCH_FOLDERS:
for file in glob.glob(folder):
p = subprocess.Popen([file, "/version"], stdout=subprocess.PIPE)
out, err = p.communicate()
match = re.search("^[0-9]+\\.[0-9]+\\.[0-9]+\\.[0-9]+$", out, re.M)
if match:
msbuilds.append({ 'ver':match.group(), 'exe':file })
msbuilds.sort(lambda x, y: compare_version(x['ver'], y['ver']), reverse=True)
if len(msbuilds) == 0:
print "Unable to find MSBuild.\n"
return -1;
cmd = [msbuilds[0]['exe']]
cmd.extend(sys.argv[1:])
return subprocess.call(cmd)
if __name__ == '__main__':
sys.exit(main())

View File

@@ -1,46 +0,0 @@
#!/usr/bin/python
# Copyright 2015 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import platform
import subprocess
import sys
EXECUTABLE_EXTENSION = '.exe' if platform.system() == 'Windows' else ''
# Paths to search for flatc relative to the current working directory.
FLATC_SEARCH_PATHS = [os.path.curdir, 'Release', 'Debug']
def main():
"""Script that finds and runs flatc built from source."""
if len(sys.argv) < 2:
sys.stderr.write('Usage: run_flatc.py flatbuffers_dir [flatc_args]\n')
return 1
cwd = os.getcwd()
flatc = ''
flatbuffers_dir = sys.argv[1]
for path in FLATC_SEARCH_PATHS:
current = os.path.join(flatbuffers_dir, path,
'flatc' + EXECUTABLE_EXTENSION)
if os.path.exists(current):
flatc = current
break
if not flatc:
sys.stderr.write('flatc not found\n')
return 1
command = [flatc] + sys.argv[2:]
return subprocess.call(command)
if __name__ == '__main__':
sys.exit(main())

View File

@@ -1,51 +0,0 @@
branches:
only:
- master
os: Visual Studio 2015
environment:
matrix:
- CMAKE_VS_VERSION: "10 2010"
- CMAKE_VS_VERSION: "14 2015"
platform:
- x86
- x64
configuration:
- Debug
- Release
before_build:
- cmake -G"Visual Studio %CMAKE_VS_VERSION%"
# This cuts down on a lot of noise generated by xamarin warnings.
- del "C:\Program Files (x86)\MSBuild\14.0\Microsoft.Common.targets\ImportAfter\Xamarin.Common.targets"
build:
project: ALL_BUILD.vcxproj
verbosity: minimal
test_script:
- rem "---------------- C++ -----------------"
- "%CONFIGURATION%\\flattests.exe"
- rem "---------------- Java -----------------"
- "cd tests"
- "java -version"
- "JavaTest.bat"
- rem "---------------- JS -----------------"
- "node --version"
- "..\\%CONFIGURATION%\\flatc -b -I include_test monster_test.fbs unicode_test.json"
- "node JavaScriptTest ./monster_test_generated"
- rem "---------------- C# -----------------"
# Have to compile this here rather than in "build" above because AppVeyor only
# supports building one project??
- "cd FlatBuffers.Test"
- "msbuild.exe /property:Configuration=Release;OutputPath=tempcs /verbosity:minimal FlatBuffers.Test.csproj"
- "tempcs\\FlatBuffers.Test.exe"
# TODO: add more languages.
- "cd ..\\.."
artifacts:
- path: $(CONFIGURATION)\\flatc.exe
name: flatc.exe

View File

@@ -1,7 +0,0 @@
# Biicode configuration file
[paths]
include
[mains]
!android/*
[tests]
tests/*

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@@ -1,21 +0,0 @@
Biicode C/C++ dependency manager
=================================
[![Build Status](https://webapi.biicode.com/v1/badges/fenix/fenix/flatbuffers/master)](https://www.biicode.com/fenix/flatbuffers)
New with biicode? Check the [Getting Started Guide](http://docs.biicode.com/c++/gettingstarted.html).
How to build it?
------------------
Building it is too easy:
$ git clone git@github.com:google/flatbuffers.git
$ cd flatbuffers
$ bii init -L && bii build
$ ./bin/any_executable
Or run its tests:
$ bii test
You can check [the examples/flatbuffers block](https://www.biicode.com/examples/flatbuffers).

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@@ -1,18 +0,0 @@
set(BII_TESTS_WORKING_DIR ${CMAKE_CURRENT_SOURCE_DIR})
# Copying data files to project/bin folder
if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/samples")
file(COPY "${CMAKE_CURRENT_SOURCE_DIR}/samples/monster.fbs"
"${CMAKE_CURRENT_SOURCE_DIR}/samples/monsterdata.json"
DESTINATION
"${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/samples")
endif()
if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/tests")
file(COPY "${CMAKE_CURRENT_SOURCE_DIR}/tests"
DESTINATION
"${CMAKE_RUNTIME_OUTPUT_DIRECTORY}")
endif()
ADD_BIICODE_TARGETS()
string(REPLACE " " ";" REPLACED_FLAGS ${CMAKE_CXX_FLAGS})
target_compile_options(${BII_BLOCK_TARGET} INTERFACE ${REPLACED_FLAGS})

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@@ -1,30 +0,0 @@
#!/bin/bash
#
# Copyright 2016 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
sudo apt-get update -qq
sudo apt-get install libglu1-mesa-dev xorg-dev
wget http://www.biicode.com/downloads/latest/ubuntu64
mv ubuntu64 bii-ubuntu64.deb
(sudo dpkg -i bii-ubuntu64.deb) && sudo apt-get -f install
rm bii-ubuntu64.deb
wget https://s3.amazonaws.com/biibinaries/thirdparty/cmake-3.0.2-Linux-64.tar.gz
tar -xzf cmake-3.0.2-Linux-64.tar.gz
sudo cp -fR cmake-3.0.2-Linux-64/* /usr
rm -rf cmake-3.0.2-Linux-64
rm cmake-3.0.2-Linux-64.tar.gz
cmake --version
bii init -l && bii configure -DCMAKE_BUILD_TYPE=$1 && bii test

55
build/VS2010/FlatBuffers.sln Executable file
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@@ -0,0 +1,55 @@
Microsoft Visual Studio Solution File, Format Version 11.00
# Visual Studio 2010
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EndProject
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "flatsamplebinary", "flatsamplebinary.vcxproj", "{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}"
EndProject
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "flatsampletext", "flatsampletext.vcxproj", "{F0A15675-1017-4217-BB5B-3372F2C636AB}"
EndProject
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "flattests", "flattests.vcxproj", "{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Debug|Win32 = Debug|Win32
MinSizeRel|Win32 = MinSizeRel|Win32
Release|Win32 = Release|Win32
RelWithDebInfo|Win32 = RelWithDebInfo|Win32
EndGlobalSection
GlobalSection(ProjectConfigurationPlatforms) = postSolution
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.Debug|Win32.ActiveCfg = Debug|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.Debug|Win32.Build.0 = Debug|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.MinSizeRel|Win32.ActiveCfg = Release|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.MinSizeRel|Win32.Build.0 = Release|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.Release|Win32.ActiveCfg = Release|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.Release|Win32.Build.0 = Release|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.RelWithDebInfo|Win32.ActiveCfg = Release|Win32
{5B5857E1-64E2-4CED-A12E-45E1B3880496}.RelWithDebInfo|Win32.Build.0 = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.Debug|Win32.ActiveCfg = Debug|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.Debug|Win32.Build.0 = Debug|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.MinSizeRel|Win32.ActiveCfg = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.MinSizeRel|Win32.Build.0 = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.Release|Win32.ActiveCfg = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.Release|Win32.Build.0 = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.RelWithDebInfo|Win32.ActiveCfg = Release|Win32
{16FA5518-3DE1-4B15-A1E0-F4734C276FB4}.RelWithDebInfo|Win32.Build.0 = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.Debug|Win32.ActiveCfg = Debug|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.Debug|Win32.Build.0 = Debug|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.MinSizeRel|Win32.ActiveCfg = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.MinSizeRel|Win32.Build.0 = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.Release|Win32.ActiveCfg = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.Release|Win32.Build.0 = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.RelWithDebInfo|Win32.ActiveCfg = Release|Win32
{F0A15675-1017-4217-BB5B-3372F2C636AB}.RelWithDebInfo|Win32.Build.0 = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.Debug|Win32.ActiveCfg = Debug|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.Debug|Win32.Build.0 = Debug|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.MinSizeRel|Win32.ActiveCfg = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.MinSizeRel|Win32.Build.0 = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.Release|Win32.ActiveCfg = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.Release|Win32.Build.0 = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.RelWithDebInfo|Win32.ActiveCfg = Release|Win32
{DC7BBA00-9FC6-48AF-B7E9-12CA91AC02AA}.RelWithDebInfo|Win32.Build.0 = Release|Win32
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
EndGlobalSection
EndGlobal

160
build/VS2010/flatc.vcxproj Executable file
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@@ -0,0 +1,160 @@
<?xml version="1.0" encoding="utf-8"?>
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
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<Platform>Win32</Platform>
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<Configuration>Release</Configuration>
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<PropertyGroup Label="Globals">
<ProjectGUID>{5B5857E1-64E2-4CED-A12E-45E1B3880496}</ProjectGUID>
<Keyword>Win32Proj</Keyword>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'" Label="Configuration">
<ConfigurationType>Application</ConfigurationType>
<UseOfMfc>false</UseOfMfc>
<CharacterSet>MultiByte</CharacterSet>
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<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'" Label="Configuration">
<ConfigurationType>Application</ConfigurationType>
<UseOfMfc>false</UseOfMfc>
<CharacterSet>MultiByte</CharacterSet>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
<ImportGroup Label="ExtensionSettings">
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<ImportGroup Label="PropertySheets">
<Import Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" />
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<PreprocessorDefinitions>WIN32;_WINDOWS;_DEBUG;CMAKE_INTDIR=\"Debug\";%(PreprocessorDefinitions)</PreprocessorDefinitions>
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11
build/VS2010/flatc.vcxproj.user Executable file
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@@ -0,0 +1,11 @@
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@@ -0,0 +1,155 @@
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@@ -0,0 +1,3 @@
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@@ -0,0 +1,159 @@
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<div class="textblock"><p>FlatBuffers is an efficient cross platform serialization library in for C++ and Java. It was created at Google specifically for game development and other performance-critical applications.</p>
<p>It is available as open source under the Apache license, v2 (see LICENSE.txt).</p>
<h2>Why use FlatBuffers?</h2>
<ul>
<li><b>Access to serialized data without parsing/unpacking</b> - What sets FlatBuffers apart is that it represents hierarchical data in a flat binary buffer in such a way that it can still be accessed directly without parsing/unpacking, while also still supporting data structure evolution (forwards/backwards compatibility).</li>
<li><b>Memory efficiency and speed</b> - The only memory needed to access your data is that of the buffer. It requires 0 additional allocations. FlatBuffers is also very suitable for use with mmap (or streaming), requiring only part of the buffer to be in memory. Access is close to the speed of raw struct access with only one extra indirection (a kind of vtable) to allow for format evolution and optional fields. It is aimed at projects where spending time and space (many memory allocations) to be able to access or construct serialized data is undesirable, such as in games or any other performance sensitive applications. See the <a href="md__benchmarks.html">benchmarks</a> for details.</li>
<li><b>Flexible</b> - Optional fields means not only do you get great forwards and backwards compatibility (increasingly important for long-lived games: don't have to update all data with each new version!). It also means you have a lot of choice in what data you write and what data you don't, and how you design data structures.</li>
<li><b>Tiny code footprint</b> - Small amounts of generated code, and just a single small header as the minimum dependency, which is very easy to integrate. Again, see the benchmark section for details.</li>
<li><b>Strongly typed</b> - Errors happen at compile time rather than manually having to write repetitive and error prone run-time checks. Useful code can be generated for you.</li>
<li><p class="startli"><b>Convenient to use</b> - Generated C++ code allows for terse access &amp; construction code. Then there's optional functionality for parsing schemas and JSON-like text representations at runtime efficiently if needed (faster and more memory efficient than other JSON parsers).</p>
<p class="startli">Java code supports object-reuse.</p>
</li>
<li><b>Cross platform C++11/Java code with no dependencies</b> - will work with any recent gcc/clang and VS2010. Comes with build files for the tests &amp; samples (Android .mk files, and cmake for all other platforms).</li>
</ul>
<h3>Why not use Protocol Buffers, or .. ?</h3>
<p>Protocol Buffers is indeed relatively similar to FlatBuffers, with the primary difference being that FlatBuffers does not need a parsing/ unpacking step to a secondary representation before you can access data, often coupled with per-object memory allocation. The code is an order of magnitude bigger, too. Protocol Buffers has neither optional text import/export nor schema language features like unions.</p>
<h3>But all the cool kids use JSON!</h3>
<p>JSON is very readable (which is why we use it as our optional text format) and very convenient when used together with dynamically typed languages (such as JavaScript). When serializing data from statically typed languages, however, JSON not only has the obvious drawback of runtime inefficiency, but also forces you to write <em>more</em> code to access data (counterintuitively) due to its dynamic-typing serialization system. In this context, it is only a better choice for systems that have very little to no information ahead of time about what data needs to be stored.</p>
<p>Read more about the "why" of FlatBuffers in the <a href="md__white_paper.html">white paper</a>.</p>
<h2>Usage in brief</h2>
<p>This section is a quick rundown of how to use this system. Subsequent sections provide a more in-depth usage guide.</p>
<ul>
<li>Write a schema file that allows you to define the data structures you may want to serialize. Fields can have a scalar type (ints/floats of all sizes), or they can be a: string; array of any type; reference to yet another object; or, a set of possible objects (unions). Fields are optional and have defaults, so they don't need to be present for every object instance.</li>
<li>Use <code>flatc</code> (the FlatBuffer compiler) to generate a C++ header (or Java classes) with helper classes to access and construct serialized data. This header (say <code>mydata_generated.h</code>) only depends on <code>flatbuffers.h</code>, which defines the core functionality.</li>
<li>Use the <code>FlatBufferBuilder</code> class to construct a flat binary buffer. The generated functions allow you to add objects to this buffer recursively, often as simply as making a single function call.</li>
<li>Store or send your buffer somewhere!</li>
<li>When reading it back, you can obtain the pointer to the root object from the binary buffer, and from there traverse it conveniently in-place with <code>object-&gt;field()</code>.</li>
</ul>
<h2>In-depth documentation</h2>
<ul>
<li>How to <a href="md__building.html">build the compiler</a> and samples on various platforms.</li>
<li>How to <a href="md__compiler.html">use the compiler</a>.</li>
<li>How to <a href="md__schemas.html">write a schema</a>.</li>
<li>How to <a href="md__cpp_usage.html">use the generated C++ code</a> in your own programs.</li>
<li>How to <a href="md__java_usage.html">use the generated Java code</a> in your own programs.</li>
<li>Some <a href="md__benchmarks.html">benchmarks</a> showing the advantage of using FlatBuffers.</li>
<li>A <a href="md__white_paper.html">white paper</a> explaining the "why" of FlatBuffers.</li>
<li>A description of the <a href="md__internals.html">internals</a> of FlatBuffers.</li>
<li>A formal <a href="md__grammar.html">grammar</a> of the schema language.</li>
</ul>
<h2>Online resources</h2>
<ul>
<li><a href="http://github.com/google/flatbuffers">github repository</a></li>
<li><a href="http://google.github.io/flatbuffers">landing page</a></li>
<li><a href="http://group.google.com/group/flatbuffers">FlatBuffers Google Group</a></li>
<li><a href="http://github.com/google/flatbuffers/issues">FlatBuffers Issues Tracker</a> </li>
</ul>
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<div class="textblock"><p>Comparing against other serialization solutions, running on Windows 7 64bit. We use the LITE runtime for Protocol Buffers (less code / lower overhead), and Rapid JSON, one of the fastest C++ JSON parsers around.</p>
<p>We compare against Flatbuffers with the binary wire format (as intended), and also with JSON as the wire format with the optional JSON parser (which, using a schema, parses JSON into a binary buffer that can then be accessed as before).</p>
<p>The benchmark object is a set of about 10 objects containing an array, 4 strings, and a large variety of int/float scalar values of all sizes, meant to be representative of game data, e.g. a scene format.</p>
<table class="doxtable">
<tr>
<th></th><th>FlatBuffers (binary) </th><th>Protocol Buffers LITE </th><th>Rapid JSON </th><th>FlatBuffers (JSON) </th></tr>
<tr>
<td>Decode + Traverse + Dealloc (1 million times, seconds) </td><td>0.08 </td><td>305 </td><td>583 </td><td>105 </td></tr>
<tr>
<td>Decode / Traverse / Dealloc (breakdown) </td><td>0 / 0.08 / 0 </td><td>220 / 3.6 / 81 </td><td>294 / 0.9 / 287 </td><td>70 / 0.08 / 35 </td></tr>
<tr>
<td>Encode (1 million times, seconds) </td><td>3.2 </td><td>185 </td><td>650 </td><td>169 </td></tr>
<tr>
<td>Wire format size (normal / zlib, bytes) </td><td>344 / 220 </td><td>228 / 174 </td><td>1475 / 322 </td><td>1029 / 298 </td></tr>
<tr>
<td>Memory needed to store decoded wire (bytes / blocks) </td><td>0 / 0 </td><td>760 / 20 </td><td>65689 / 40 </td><td>328 / 1 </td></tr>
<tr>
<td>Transient memory allocated during decode (KB) </td><td>0 </td><td>1 </td><td>131 </td><td>4 </td></tr>
<tr>
<td>Generated source code size (KB) </td><td>4 </td><td>61 </td><td>0 </td><td>4 </td></tr>
<tr>
<td>Field access in handwritten traversal code </td><td>accessors </td><td>accessors </td><td>manual error checking </td><td>accessors </td></tr>
<tr>
<td>Library source code (KB) </td><td>15 </td><td>some subset of 3800 </td><td>87 </td><td>43 </td></tr>
</table>
<h3>Some other serialization systems we compared against but did not benchmark (yet), in rough order of applicability:</h3>
<ul>
<li>Cap'n'Proto promises to reduce Protocol Buffers much like FlatBuffers does, though with a more complicated binary encoding and less flexibility (no optional fields to allow deprecating fields or serializing with missing fields for which defaults exist). It currently also isn't fully cross-platform portable (lack of VS support).</li>
<li>msgpack: has very minimal forwards/backwards compatability support when used with the typed C++ interface. Also lacks VS2010 support.</li>
<li>Thrift: very similar to Protocol Buffers, but appears to be less efficient, and have more dependencies.</li>
<li>XML: typically even slower than JSON, but has the advantage that it can be parsed with a schema to reduce error-checking boilerplate code.</li>
<li>YAML: a superset of JSON and otherwise very similar. Used by e.g. Unity.</li>
<li>C# comes with built-in serialization functionality, as used by Unity also. Being tied to the language, and having no automatic versioning support limits its applicability.</li>
<li>Project Anarchy (the free mobile engine by Havok) comes with a serialization system, that however does no automatic versioning (have to code around new fields manually), is very much tied to the rest of the engine, and works without a schema to generate code (tied to your C++ class definition). </li>
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<div class="textblock"><p>There are project files for Visual Studio and Xcode that should allow you to build the compiler <code>flatc</code>, the samples and the tests out of the box.</p>
<p>Alternatively, the distribution comes with a <code>cmake</code> file that should allow you to build project/make files for any platform. For details on <code>cmake</code>, see <a href="http://www.cmake.org">http://www.cmake.org</a>. In brief, depending on your platform, use one of e.g.: </p>
<pre class="fragment">cmake -G "Unix Makefiles"
cmake -G "Visual Studio 10"
cmake -G "Xcode"
</pre><p>Then, build as normal for your platform. This should result in a <code>flatc</code> executable, essential for the next steps. Note that to use clang instead of gcc, you may need to set up your environment variables, e.g. <code>CC=/usr/bin/clang CXX=/usr/bin/clang++ cmake -G "Unix Makefiles"</code>.</p>
<p>Optionally, run the <code>flattests</code> executable. to ensure everything is working correctly on your system. If this fails, please contact us!</p>
<p>Building should also produce two sample executables, <code>sample_binary</code> and <code>sample_text</code>, see the corresponding <code>.cpp</code> file in the samples directory.</p>
<p>There is an <code>android</code> directory that contains all you need to build the test executable on android (use the included <code>build_apk.sh</code> script, or use <code>ndk_build</code> / <code>adb</code> etc. as usual). Upon running, it will output to the log if tests succeeded or not.</p>
<p>There is usually no runtime to compile, as the code consists of a single header, <code>include/flatbuffers/flatbuffers.h</code>. You should add the <code>include</code> folder to your include paths. If you wish to be able to load schemas and/or parse text into binary buffers at runtime, you additionally need the other headers in <code>include/flatbuffers</code>. You must also compile/link <code>src/idl_parser.cpp</code> (and <code>src/idl_gen_text.cpp</code> if you also want to be able convert binary to text).</p>
<p>For applications on Google Play that integrate this library, usage is tracked. This tracking is done automatically using the embedded version string (flatbuffer_version_string), and helps us continue to optimize it. Aside from consuming a few extra bytes in your application binary, it shouldn't affect your application at all. We use this information to let us know if FlatBuffers is useful and if we should continue to invest in it. Since this is open source, you are free to remove the version string but we would appreciate if you would leave it in. </p>
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<div class="textblock"><p>Usage: </p>
<pre class="fragment">flatc [ -c ] [ -j ] [ -b ] [ -t ] file1 file2 ..
</pre><p>The files are read and parsed in order, and can contain either schemas or data (see below). Later files can make use of definitions in earlier files. Depending on the flags passed, additional files may be generated for each file processed:</p>
<ul>
<li><code>-c</code> : Generate a C++ header for all definitions in this file (as <code>filename_generated.h</code>). Skips data.</li>
<li><code>-j</code> : Generate Java classes.</li>
<li><code>-b</code> : If data is contained in this file, generate a <code>filename_wire.bin</code> containing the binary flatbuffer.</li>
<li><code>-t</code> : If data is contained in this file, generate a <code>filename_wire.txt</code> (for debugging). </li>
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<div class="textblock"><p>Assuming you have written a schema using the above language in say <code>mygame.fbs</code> (FlatBuffer Schema, though the extension doesn't matter), you've generated a C++ header called <code>mygame_generated.h</code> using the compiler (e.g. <code>flatc -c mygame.fbs</code>), you can now start using this in your program by including the header. As noted, this header relies on <code>flatbuffers/flatbuffers.h</code>, which should be in your include path.</p>
<h3>Writing in C++</h3>
<p>To start creating a buffer, create an instance of <code>FlatBufferBuilder</code> which will contain the buffer as it grows: </p>
<pre class="fragment">FlatBufferBuilder fbb;
</pre><p>Before we serialize a Monster, we need to first serialize any objects that are contained there-in, i.e. we serialize the data tree using depth first, pre-order traversal. This is generally easy to do on any tree structures. For example: </p>
<pre class="fragment">auto name = fbb.CreateString("MyMonster");
unsigned char inv[] = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 };
auto inventory = fbb.CreateVector(inv, 10);
</pre><p><code>CreateString</code> and <code>CreateVector</code> serialize these two built-in datatypes, and return offsets into the serialized data indicating where they are stored, such that <code>Monster</code> below can refer to them.</p>
<p><code>CreateString</code> can also take an <code>std::string</code>, or a <code>const char *</code> with an explicit length, and is suitable for holding UTF-8 and binary data if needed.</p>
<p><code>CreateVector</code> can also take an <code>std::vector</code>. The offset it returns is typed, i.e. can only be used to set fields of the correct type below. To create a vector of struct objects (which will be stored as contiguous memory in the buffer, use <code>CreateVectorOfStructs</code> instead. </p>
<pre class="fragment">Vec3 vec(1, 2, 3);
</pre><p><code>Vec3</code> is the first example of code from our generated header. Structs (unlike tables) translate to simple structs in C++, so we can construct them in a familiar way.</p>
<p>We have now serialized the non-scalar components of of the monster example, so we could create the monster something like this: </p>
<pre class="fragment">auto mloc = CreateMonster(fbb, &amp;vec, 150, 80, name, inventory, Color_Red, Offset&lt;void&gt;(0), Any_NONE);
</pre><p>Note that we're passing <code>150</code> for the <code>mana</code> field, which happens to be the default value: this means the field will not actually be written to the buffer, since we'll get that value anyway when we query it. This is a nice space savings, since it is very common for fields to be at their default. It means we also don't need to be scared to add fields only used in a minority of cases, since they won't bloat up the buffer sizes if they're not actually used.</p>
<p>We do something similarly for the union field <code>test</code> by specifying a <code>0</code> offset and the <code>NONE</code> enum value (part of every union) to indicate we don't actually want to write this field.</p>
<p>Tables (like <code>Monster</code>) give you full flexibility on what fields you write (unlike <code>Vec3</code>, which always has all fields set because it is a <code>struct</code>). If you want even more control over this (i.e. skip fields even when they are not default), instead of the convenient <code>CreateMonster</code> call we can also build the object field-by-field manually: </p>
<pre class="fragment">MonsterBuilder mb(fbb);
mb.add_pos(&amp;vec);
mb.add_hp(80);
mb.add_name(name);
mb.add_inventory(inventory);
auto mloc = mb.Finish();
</pre><p>We start with a temporary helper class <code>MonsterBuilder</code> (which is defined in our generated code also), then call the various <code>add_</code> methods to set fields, and <code>Finish</code> to complete the object. This is pretty much the same code as you find inside <code>CreateMonster</code>, except we're leaving out a few fields. Fields may also be added in any order, though orderings with fields of the same size adjacent to each other most efficient in size, due to alignment. You should not nest these Builder classes (serialize your data in pre-order).</p>
<p>Regardless of whether you used <code>CreateMonster</code> or <code>MonsterBuilder</code>, you now have an offset to the root of your data, and you can finish the buffer using: </p>
<pre class="fragment">fbb.Finish(mloc);
</pre><p>The buffer is now ready to be stored somewhere, sent over the network, be compressed, or whatever you'd like to do with it. You can access the start of the buffer with <code>fbb.GetBufferPointer()</code>, and it's size from <code>fbb.GetSize()</code>.</p>
<p><code>samples/sample_binary.cpp</code> is a complete code sample similar to the code above, that also includes the reading code below.</p>
<h3>Reading in C++</h3>
<p>If you've received a buffer from somewhere (disk, network, etc.) you can directly start traversing it using: </p>
<pre class="fragment">auto monster = GetMonster(buffer_pointer);
</pre><p><code>monster</code> is of type <code>Monster *</code>, and points to somewhere inside your buffer. If you look in your generated header, you'll see it has convenient accessors for all fields, e.g. </p>
<pre class="fragment">assert(monster-&gt;hp() == 80);
assert(monster-&gt;mana() == 150); // default
assert(strcmp(monster-&gt;name()-&gt;c_str(), "MyMonster") == 0);
</pre><p>These should all be true. Note that we never stored a <code>mana</code> value, so it will return the default.</p>
<p>To access sub-objects, in this case the <code>Vec3</code>: </p>
<pre class="fragment">auto pos = monster-&gt;pos();
assert(pos);
assert(pos-&gt;z() == 3);
</pre><p>If we had not set the <code>pos</code> field during serialization, it would be <code>NULL</code>.</p>
<p>Similarly, we can access elements of the inventory array: </p>
<pre class="fragment">auto inv = monster-&gt;inventory();
assert(inv);
assert(inv-&gt;Get(9) == 9);
</pre><h3>Direct memory access</h3>
<p>As you can see from the above examples, all elements in a buffer are accessed through generated accessors. This is because everything is stored in little endian format on all platforms (the accessor performs a swap operation on big endian machines), and also because the layout of things is generally not known to the user.</p>
<p>For structs, layout is deterministic and guaranteed to be the same accross platforms (scalars are aligned to their own size, and structs themselves to their largest member), and you are allowed to access this memory directly by using <code>sizeof()</code> and <code>memcpy</code> on the pointer to a struct, or even an array of structs.</p>
<p>To compute offsets to sub-elements of a struct, make sure they are a structs themselves, as then you can use the pointers to figure out the offset without having to hardcode it. This is handy for use of arrays of structs with calls like <code>glVertexAttribPointer</code> in OpenGL or similar APIs.</p>
<p>It is important to note is that structs are still little endian on all machines, so only use tricks like this if you can guarantee you're not shipping on a big endian machine (an <code>assert(FLATBUFFERS_LITTLEENDIAN)</code> would be wise).</p>
<h2>Text &amp; schema parsing</h2>
<p>Using binary buffers with the generated header provides a super low overhead use of FlatBuffer data. There are, however, times when you want to use text formats, for example because it interacts better with source control, or you want to give your users easy access to data.</p>
<p>Another reason might be that you already have a lot of data in JSON format, or a tool that generates JSON, and if you can write a schema for it, this will provide you an easy way to use that data directly.</p>
<p>There are two ways to use text formats:</p>
<h3>Using the compiler as a conversion tool</h3>
<p>This is the preferred path, as it doesn't require you to add any new code to your program, and is maximally efficient since you can ship with binary data. The disadvantage is that it is an extra step for your users/developers to perform, though you might be able to automate it. </p>
<pre class="fragment">flatc -b myschema.fbs mydata.json
</pre><p>This will generate the binary file <code>mydata_wire.bin</code> which can be loaded as before.</p>
<h3>Making your program capable of loading text directly</h3>
<p>This gives you maximum flexibility. You could even opt to support both, i.e. check for both files, and regenerate the binary from text when required, otherwise just load the binary.</p>
<p>This option is currently only available for C++, or Java through JNI.</p>
<p>As mentioned in the section "Building" above, this technique requires you to link a few more files into your program, and you'll want to include <code>flatbuffers/idl.h</code>.</p>
<p>Load text (either a schema or json) into an in-memory buffer (there is a convenient <code>LoadFile()</code> utility function in <code>flatbuffers/util.h</code> if you wish). Construct a parser: </p>
<pre class="fragment">flatbuffers::Parser parser;
</pre><p>Now you can parse any number of text files in sequence: </p>
<pre class="fragment">parser.Parse(text_file.c_str());
</pre><p>This works similarly to how the command-line compiler works: a sequence of files parsed by the same <code>Parser</code> object allow later files to reference definitions in earlier files. Typically this means you first load a schema file (which populates <code>Parser</code> with definitions), followed by one or more JSON files.</p>
<p>If there were any parsing errors, <code>Parse</code> will return <code>false</code>, and <code>Parser::err</code> contains a human readable error string with a line number etc, which you should present to the creator of that file.</p>
<p>After each JSON file, the <code>Parser::fbb</code> member variable is the <code>FlatBufferBuilder</code> that contains the binary buffer version of that file, that you can access as described above.</p>
<p><code>samples/sample_text.cpp</code> is a code sample showing the above operations.</p>
<h3>Threading</h3>
<p>None of the code is thread-safe, by design. That said, since currently a FlatBuffer is read-only and entirely <code>const</code>, reading by multiple threads is possible. </p>
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<div class="textblock"><p>schema = namespace_decl | type_decl | enum_decl | root_decl | object</p>
<p>namespace_decl = <code>namespace</code> ident ( <code>.</code> ident )* <code>;</code></p>
<p>type_decl = ( <code>table</code> | <code>struct</code> ) ident metadata <code>{</code> field_decl+ <code>}</code></p>
<p>enum_decl = ( <code>enum</code> | <code>union</code> ) ident [ <code>:</code> type ] metadata <code>{</code> commasep( enumval_decl ) <code>}</code></p>
<p>root_decl = <code>root_type</code> ident <code>;</code></p>
<p>field_decl = type <code>:</code> ident [ <code>=</code> scalar ] metadata <code>;</code></p>
<p>type = <code>bool</code> | <code>byte</code> | <code>ubyte</code> | <code>short</code> | <code>ushort</code> | <code>int</code> | <code>uint</code> | <code>float</code> | <code>long</code> | <code>ulong</code> | <code>double</code> | <code>string</code> | <code>[</code> type <code>]</code> | ident</p>
<p>enumval_decl = ident [ <code>=</code> integer_constant ]</p>
<p>metadata = [ <code>(</code> commasep( ident [ <code>:</code> scalar ] ) <code>)</code> ]</p>
<p>scalar = integer_constant | float_constant | <code>true</code> | <code>false</code></p>
<p>object = { commasep( ident <code>:</code> value ) }</p>
<p>value = scalar | object | string_constant | <code>[</code> commasep( value ) <code>]</code></p>
<p>commasep(x) = [ x ( <code>,</code> x )* ] </p>
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<div class="textblock"><p>This section is entirely optional for the use of FlatBuffers. In normal usage, you should never need the information contained herein. If you're interested however, it should give you more of an appreciation of why FlatBuffers is both efficient and convenient.</p>
<h3>Format components</h3>
<p>A FlatBuffer is a binary file and in-memory format consisting mostly of scalars of various sizes, all aligned to their own size. Each scalar is also always represented in little-endian format, as this corresponds to all commonly used CPUs today. FlatBuffers will also work on big-endian machines, but will be slightly slower because of additional byte-swap intrinsics.</p>
<p>On purpose, the format leaves a lot of details about where exactly things live in memory undefined, e.g. fields in a table can have any order, and objects to some extend can be stored in many orders. This is because the format doesn't need this information to be efficient, and it leaves room for optimization and extension (for example, fields can be packed in a way that is most compact). Instead, the format is defined in terms of offsets and adjacency only.</p>
<h3>Format identification</h3>
<p>The format also doesn't contain information for format identification and versioning, which is also by design. FlatBuffers is a statically typed system, meaning the user of a buffer needs to know what kind of buffer it is. FlatBuffers can of course be wrapped inside other containers where needed, or you can use its union feature to dynamically identify multiple possible sub-objects stored. Additionally, it can be used together with the schema parser if full reflective capabilities are desired.</p>
<p>Versioning is something that is intrinsically part of the format (the optionality / extensibility of fields), so the format itself does not need a version number (it's a meta-format, in a sense). We're hoping that this format can accommodate all data needed. If format breaking changes are ever necessary, it would become a new kind of format rather than just a variation.</p>
<h3>Offsets</h3>
<p>The most important and generic offset type (see <code>flatbuffers.h</code>) is <code>offset_t</code>, which is currently always a <code>uint32_t</code>, and is used to refer to all tables/unions/strings/vectors. 32bit is intentional, since we want to keep the format binary compatible between 32 and 64bit systems, and a 64bit offset would bloat the size for almost all uses. A version of this format with 64bit (or 16bit) offsets is easy to set when needed. Unsigned means they can only point in one direction, which typically is forward (towards a higher memory location). Any backwards offsets will be explicitly marked as such.</p>
<p>The format starts with an <code>offset_t</code> to the root object in the buffer.</p>
<p>We have two kinds of objects, structs and tables.</p>
<h3>Structs</h3>
<p>These are the simplest, and as mentioned, intended for simple data that benefits from being extra efficient and doesn't need versioning / extensibility. They are always stored inline in their parent (a struct, table, or vector) for maximum compactness. Structs define a consistent memory layout where all components are aligned to their size, and structs aligned to their largest scalar member. This is done independent of the alignment rules of the underlying compiler to guarantee a cross platform compatible layout. This layout is then enforced in the generated code.</p>
<h3>Tables</h3>
<p>These start with an <code>soffset_t</code> to a vtable (signed version of <code>offset_t</code>, since vtables may be stored anywhere), followed by all the fields as aligned scalars. Unlike structs, not all fields need to be present. There is no set order and layout.</p>
<p>To be able to access fields regardless of these uncertainties, we go through a vtable of offsets. Vtables are shared between any objects that happen to have the same vtable values.</p>
<p>The elements of a vtable are all of type <code>voffset_t</code>, which is currently a <code>uint16_t</code>. The first element is the number of elements of the vtable, including this one. The second one is the size of the object, in bytes (including the vtable offset). This size is used for streaming, to know how many bytes to read to be able to access all fields of the object. The remaining elements are N the offsets, where N is the amount of field declared in the schema when the code that constructed this buffer was compiled (thus, the size of the table is N + 2).</p>
<p>All accessor functions in the generated code for tables contain the offset into this table as a constant. This offset is checked against the first field (the number of elements), to protect against newer code reading older data. If this offset is out of range, or the vtable entry is 0, that means the field is not present in this object, and the default value is return. Otherwise, the entry is used as offset to the field to be read.</p>
<h3>Strings and Vectors</h3>
<p>Strings are simply a vector of bytes, and are always null-terminated. Vectors are stored as contiguous aligned scalar elements prefixed by a count.</p>
<h3>Construction</h3>
<p>The current implementation constructs these buffers backwards, since that significantly reduces the amount of bookkeeping and simplifies the construction API.</p>
<h3>Code example</h3>
<p>Here's an example of the code that gets generated for the <code>samples/monster.fbs</code>. What follows is the entire file, broken up by comments: </p>
<pre class="fragment">// automatically generated, do not modify
#include "flatbuffers/flatbuffers.h"
namespace MyGame {
namespace Sample {
</pre><p>Nested namespace support. </p>
<pre class="fragment">enum {
Color_Red = 0,
Color_Green = 1,
Color_Blue = 2,
};
inline const char **EnumNamesColor() {
static const char *names[] = { "Red", "Green", "Blue", nullptr };
return names;
}
inline const char *EnumNameColor(int e) { return EnumNamesColor()[e]; }
</pre><p>Enums and convenient reverse lookup. </p>
<pre class="fragment">enum {
Any_NONE = 0,
Any_Monster = 1,
};
inline const char **EnumNamesAny() {
static const char *names[] = { "NONE", "Monster", nullptr };
return names;
}
inline const char *EnumNameAny(int e) { return EnumNamesAny()[e]; }
</pre><p>Unions share a lot with enums. </p>
<pre class="fragment">struct Vec3;
struct Monster;
</pre><p>Predeclare all datatypes since there may be circular references. </p>
<pre class="fragment">MANUALLY_ALIGNED_STRUCT(4) Vec3 {
private:
float x_;
float y_;
float z_;
public:
Vec3(float x, float y, float z)
: x_(flatbuffers::EndianScalar(x)), y_(flatbuffers::EndianScalar(y)), z_(flatbuffers::EndianScalar(z)) {}
float x() const { return flatbuffers::EndianScalar(x_); }
float y() const { return flatbuffers::EndianScalar(y_); }
float z() const { return flatbuffers::EndianScalar(z_); }
};
STRUCT_END(Vec3, 12);
</pre><p>These ugly macros do a couple of things: they turn off any padding the compiler might normally do, since we add padding manually (though none in this example), and they enforce alignment chosen by FlatBuffers. This ensures the layout of this struct will look the same regardless of compiler and platform. Note that the fields are private: this is because these store little endian scalars regardless of platform (since this is part of the serialized data). <code>EndianScalar</code> then converts back and forth, which is a no-op on all current mobile and desktop platforms, and a single machine instruction on the few remaining big endian platforms. </p>
<pre class="fragment">struct Monster : private flatbuffers::Table {
const Vec3 *pos() const { return GetStruct&lt;const Vec3 *&gt;(4); }
int16_t mana() const { return GetField&lt;int16_t&gt;(6, 150); }
int16_t hp() const { return GetField&lt;int16_t&gt;(8, 100); }
const flatbuffers::String *name() const { return GetPointer&lt;const flatbuffers::String *&gt;(10); }
const flatbuffers::Vector&lt;uint8_t&gt; *inventory() const { return GetPointer&lt;const flatbuffers::Vector&lt;uint8_t&gt; *&gt;(14); }
int8_t color() const { return GetField&lt;int8_t&gt;(16, 2); }
};
</pre><p>Tables are a bit more complicated. A table accessor struct is used to point at the serialized data for a table, which always starts with an offset to its vtable. It derives from <code>Table</code>, which contains the <code>GetField</code> helper functions. GetField takes a vtable offset, and a default value. It will look in the vtable at that offset. If the offset is out of bounds (data from an older version) or the vtable entry is 0, the field is not present and the default is returned. Otherwise, it uses the entry as an offset into the table to locate the field. </p>
<pre class="fragment">struct MonsterBuilder {
flatbuffers::FlatBufferBuilder &amp;fbb_;
flatbuffers::uoffset_t start_;
void add_pos(const Vec3 *pos) { fbb_.AddStruct(4, pos); }
void add_mana(int16_t mana) { fbb_.AddElement&lt;int16_t&gt;(6, mana, 150); }
void add_hp(int16_t hp) { fbb_.AddElement&lt;int16_t&gt;(8, hp, 100); }
void add_name(flatbuffers::Offset&lt;flatbuffers::String&gt; name) { fbb_.AddOffset(10, name); }
void add_inventory(flatbuffers::Offset&lt;flatbuffers::Vector&lt;uint8_t&gt;&gt; inventory) { fbb_.AddOffset(14, inventory); }
void add_color(int8_t color) { fbb_.AddElement&lt;int8_t&gt;(16, color, 2); }
MonsterBuilder(flatbuffers::FlatBufferBuilder &amp;_fbb) : fbb_(_fbb) { start_ = fbb_.StartTable(); }
flatbuffers::Offset&lt;Monster&gt; Finish() { return flatbuffers::Offset&lt;Monster&gt;(fbb_.EndTable(start_, 7)); }
};
</pre><p><code>MonsterBuilder</code> is the base helper struct to construct a table using a <code>FlatBufferBuilder</code>. You can add the fields in any order, and the <code>Finish</code> call will ensure the correct vtable gets generated. </p>
<pre class="fragment">inline flatbuffers::Offset&lt;Monster&gt; CreateMonster(flatbuffers::FlatBufferBuilder &amp;_fbb, const Vec3 *pos, int16_t mana, int16_t hp, flatbuffers::Offset&lt;flatbuffers::String&gt; name, flatbuffers::Offset&lt;flatbuffers::Vector&lt;uint8_t&gt;&gt; inventory, int8_t color) {
MonsterBuilder builder_(_fbb);
builder_.add_inventory(inventory);
builder_.add_name(name);
builder_.add_pos(pos);
builder_.add_hp(hp);
builder_.add_mana(mana);
builder_.add_color(color);
return builder_.Finish();
}
</pre><p><code>CreateMonster</code> is a convenience function that calls all functions in <code>MonsterBuilder</code> above for you. Note that if you pass values which are defaults as arguments, it will not actually construct that field, so you can probably use this function instead of the builder class in almost all cases. </p>
<pre class="fragment">inline const Monster *GetMonster(const void *buf) { return flatbuffers::GetRoot&lt;Monster&gt;(buf); }
</pre><p>This function is only generated for the root table type, to be able to start traversing a FlatBuffer from a raw buffer pointer. </p>
<pre class="fragment">}; // namespace MyGame
}; // namespace Sample</pre> </div></div><!-- contents -->
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<div class="textblock"><p>There's experimental support for reading FlatBuffers in Java. Generate code for Java with the <code>-j</code> option to <code>flatc</code>.</p>
<p>See <code>javaTest.java</code> for an example. Essentially, you read a FlatBuffer binary file into a <code>byte[]</code>, which you then turn into a <code>ByteBuffer</code>, which you pass to the <code>getRootAsMonster</code> function: </p>
<pre class="fragment">ByteBuffer bb = ByteBuffer.wrap(data);
Monster monster = Monster.getRootAsMonster(bb);
</pre><p>Now you can access values much like C++: </p>
<pre class="fragment">short hp = monster.hp();
Vec3 pos = monster.pos();
</pre><p>Note that whenever you access a new object like in the <code>pos</code> example above, a new temporary accessor object gets created. If your code is very performance sensitive (you iterate through a lot of objects), there's a second <code>pos()</code> method to which you can pass a <code>Vec3</code> object you've already created. This allows you to reuse it across many calls and reduce the amount of object allocation (and thus garbage collection) your program does.</p>
<p>Sadly the string accessors currently always create a new string when accessed, since FlatBuffer's UTF-8 strings can't be read in-place by Java.</p>
<p>Vector access is also a bit different from C++: you pass an extra index to the vector field accessor. Then a second method with the same name suffixed by <code>_length</code> let's you know the number of elements you can access: </p>
<pre class="fragment">for (int i = 0; i &lt; monster.inventory_length(); i++)
monster.inventory(i); // do something here
</pre><p>You can also construct these buffers in Java using the static methods found in the generated code, and the FlatBufferBuilder class: </p>
<pre class="fragment">FlatBufferBuilder fbb = new FlatBufferBuilder();
</pre><p>Create strings: </p>
<pre class="fragment">int str = fbb.createString("MyMonster");
</pre><p>Create a table with a struct contained therein: </p>
<pre class="fragment">Monster.startMonster(fbb);
Monster.addPos(fbb, Vec3.createVec3(fbb, 1.0f, 2.0f, 3.0f, 3.0, (byte)4, (short)5, (byte)6));
Monster.addHp(fbb, (short)80);
Monster.addName(fbb, str);
Monster.addInventory(fbb, inv);
Monster.addTest_type(fbb, (byte)1);
Monster.addTest(fbb, mon2);
Monster.addTest4(fbb, test4s);
int mon = Monster.endMonster(fbb);
</pre><p>As you can see, the Java code for tables does not use a convenient <code>createMonster</code> call like the C++ code. This is to create the buffer without using temporary object allocation (since the <code>Vec3</code> is an inline component of <code>Monster</code>, it has to be created right where it is added, whereas the name and the inventory are not inline). Structs do have convenient methods that even have arguments for nested structs.</p>
<p>Vectors also use this start/end pattern to allow vectors of both scalar types and structs: </p>
<pre class="fragment">Monster.startInventoryVector(fbb, 5);
for (byte i = 4; i &gt;=0; i--) fbb.addByte(i);
int inv = fbb.endVector();
</pre><p>You can use the generated method <code>startInventoryVector</code> to conveniently call <code>startVector</code> with the right element size. You pass the number of elements you want to write. You write the elements backwards since the buffer is being constructed back to front.</p>
<h2>Text Parsing</h2>
<p>There currently is no support for parsing text (Schema's and JSON) directly from Java, though you could use the C++ parser through JNI. Please see the C++ documentation for more on text parsing. </p>
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<div class="textblock"><p>The syntax of the schema language (aka IDL, Interface Definition Language) should look quite familiar to users of any of the C family of languages, and also to users of other IDLs. Let's look at an example first: </p>
<pre class="fragment">// example IDL file
namespace MyGame;
enum Color : byte { Red = 1, Green, Blue }
union Any { Monster, Weapon, Pickup }
struct Vec3 {
x:float;
y:float;
z:float;
}
table Monster {
pos:Vec3;
mana:short = 150;
hp:short = 100;
name:string;
friendly:bool = false (deprecated, priority: 1);
inventory:[ubyte];
color:Color = Blue;
test:Any;
}
root_type Monster;
</pre><p>(Weapon &amp; Pickup not defined as part of this example).</p>
<h3>Tables</h3>
<p>Tables are the main way of defining objects in FlatBuffers, and consist of a name (here <code>Monster</code>) and a list of fields. Each field has a name, a type, and optionally a default value (if omitted, it defaults to 0 / NULL).</p>
<p>Each field is optional: It does not have to appear in the wire representation, and you can choose to omit fields for each individual object. As a result, you have the flexibility to add fields without fear of bloating your data. This design is also FlatBuffer's mechanism for forward and backwards compatibility. Note that:</p>
<ul>
<li>You can add new fields in the schema ONLY at the end of a table definition. Older data will still read correctly, and give you the default value when read. Older code will simply ignore the new field.</li>
<li>You cannot delete fields you don't use anymore from the schema, but you can simply stop writing them into your data for almost the same effect. Additionally you can mark them as <code>deprecated</code> as in the example above, which will prevent the generation of accessors in the generated C++, as a way to enforce the field not being used any more. (careful: this may break code!).</li>
<li>You may change field names and table names, if you're ok with your code breaking until you've renamed them there too.</li>
</ul>
<h3>Structs</h3>
<p>Similar to a table, only now none of the fields are optional (so no defaults either), and fields may not be added or be deprecated. Structs may only contain scalars or other structs. Use this for simple objects where you are very sure no changes will ever be made (as quite clear in the example <code>Vec3</code>). Structs use less memory than tables and are even faster to access (they are always stored in-line in their parent object, and use no virtual table).</p>
<h3>Types</h3>
<p>Builtin scalar types are:</p>
<ul>
<li>8 bit: <code>byte ubyte bool</code></li>
<li>16 bit: <code>short ushort</code></li>
<li>32 bit: <code>int uint float</code></li>
<li>64 bit: <code>long ulong double</code></li>
<li>Vector of any other type (denoted with <code>[type]</code>). Nesting vectors require you wrap the inner vector in a struct/table rather than writing <code>[[type]]</code>.</li>
<li><code>string</code>, which may only hold UTF-8 or 7-bit ASCII. For other text encodings or general binary data use vectors (<code>[byte]</code> or <code>[ubyte]</code>) instead.</li>
<li>References to other tables or structs, enums or unions (see below).</li>
</ul>
<p>You can't change types of fields once they're used, with the exception of same-size data where a <code>reinterpret_cast</code> would give you a desirable result, e.g. you could change a <code>uint</code> to an <code>int</code> if no values in current data use the high bit yet.</p>
<h3>(Default) Values</h3>
<p>Values are a sequence of digits, optionally followed by a <code>.</code> and more digits for float constants, and optionally prefixed by a <code>-</code>. Non-scalar defaults are currently not supported (always NULL).</p>
<p>You generally do not want to change default values after they're initially defined. Fields that have the default value are not actually stored in the serialized data but are generated in code, so when you change the default, you'd now get a different value than from code generated from an older version of the schema. There are situations however where this may be desirable, especially if you can ensure a simultaneous rebuild of all code.</p>
<h3>Enums</h3>
<p>Define a sequence of named constants, each with a given value, or increasing by one from the previous one. The default first value is <code>0</code>. As you can see in the enum declaration, you specify the underlying integral type of the enum with <code>:</code> (in this case <code>byte</code>), which then determines the type of any fields declared with this enum type. If you omit the underlying type, it will be <code>short</code>.</p>
<h3>Unions</h3>
<p>Unions share a lot of properties with enums, but instead of new names for constants, you use names of tables. You can then declare a union field which can hold a reference to any of those types, and additionally a hidden field with the suffix <code>_type</code> is generated that holds the corresponding enum value, allowing you to know which type to cast to at runtime.</p>
<h3>Namespaces</h3>
<p>These will generate the corresponding namespace in C++ for all helper code, and packages in Java. You can use <code>.</code> to specify nested namespaces / packages.</p>
<h3>Root type</h3>
<p>This declares what you consider to be the root table (or struct) of the serialized data.</p>
<h3>Comments &amp; documentation</h3>
<p>May be written as in most C-based languages. Additionally, a triple comment (<code>///</code>) on a line by itself signals that a comment is documentation for whatever is declared on the line after it (table/struct/field/enum/union/element), and the comment is output in the corresponding C++ code. Multiple such lines per item are allowed.</p>
<h3>Attributes</h3>
<p>Attributes may be attached to a declaration, behind a field, or after the name of a table/struct/enum/union. These may either have a value or not. Some attributes like <code>deprecated</code> are understood by the compiler, others are simply ignored (like <code>priority</code>), but are available to query if you parse the schema at runtime. This is useful if you write your own code generators/editors etc., and you wish to add additional information specific to your tool (such as a help text).</p>
<p>Current understood attributes:</p>
<ul>
<li><code>deprecated</code> (on a field): do not generate accessors for this field anymore, code should stop using this data.</li>
<li><code>original_order</code> (on a table): since elements in a table do not need to be stored in any particular order, they are often optimized for space by sorting them to size. This attribute stops that from happening.</li>
<li><code>force_align: size</code> (on a struct): force the alignment of this struct to be something higher than what it is naturally aligned to. Causes these structs to be aligned to that amount inside a buffer, IF that buffer is allocated with that alignment (which is not necessarily the case for buffers accessed directly inside a <code>FlatBufferBuilder</code>).</li>
</ul>
<h2>Gotchas</h2>
<h3>Schemas and version control</h3>
<p>FlatBuffers relies on new field declarations being added at the end, and earlier declarations to not be removed, but be marked deprecated when needed. We think this is an improvement over the manual number assignment that happens in Protocol Buffers.</p>
<p>One place where this is possibly problematic however is source control. If user A adds a field, generates new binary data with this new schema, then tries to commit both to source control after user B already committed a new field also, and just auto-merges the schema, the binary files are now invalid compared to the new schema.</p>
<p>The solution of course is that you should not be generating binary data before your schema changes have been committed, ensuring consistency with the rest of the world. </p>
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<div class="textblock"><p>This document tries to shed some light on to the "why" of FlatBuffers, a new serialization library.</p>
<h2>Motivation</h2>
<p>Back in the good old days, performance was all about instructions and cycles. Nowadays, processing units have run so far ahead of the memory subsystem, that making an efficient application should start and finish with thinking about memory. How much you use of it. How you lay it out and access it. How you allocate it. When you copy it.</p>
<p>Serialization is a pervasive activity in a lot programs, and a common source of memory inefficiency, with lots of temporary data structures needed to parse and represent data, and inefficient allocation patterns and locality.</p>
<p>If it would be possible to do serialization with no temporary objects, no additional allocation, no copying, and good locality, this could be of great value. The reason serialization systems usually don't manage this is because it goes counter to forwards/backwards compatability, and platform specifics like endianness and alignment.</p>
<p>FlatBuffers is what you get if you try anyway.</p>
<p>In particular, FlatBuffers focus is on mobile hardware (where memory size and memory bandwidth is even more constrained than on desktop hardware), and applications that have the highest performance needs: games.</p>
<h2>FlatBuffers</h2>
<p><em>This is a summary of FlatBuffers functionality, with some rationale. A more detailed description can be found in the FlatBuffers documentation.</em></p>
<h3>Summary</h3>
<p>A FlatBuffer is a binary buffer containing nested objects (structs, tables, vectors,..) organized using offsets so that the data can be traversed in-place just like any pointer-based data structure. Unlike most in-memory data structures however, it uses strict rules of alignment and endianness (always little) to ensure these buffers are cross platform. Additionally, for objects that are tables, FlatBuffers provides forwards/backwards compatibility and general optionality of fields, to support most forms of format evolution.</p>
<p>You define your object types in a schema, which can then be compiled to C++ or Java for low to zero overhead reading &amp; writing. Optionally, JSON data can be dynamically parsed into buffers.</p>
<h3>Tables</h3>
<p>Tables are the cornerstone of FlatBuffers, since format evolution is essential for most applications of serialization. Typically, dealing with format changes is something that can be done transparently during the parsing process of most serialization solutions out there. But a FlatBuffer isn't parsed before it is accessed.</p>
<p>Tables get around this by using an extra indirection to access fields, through a <em>vtable</em>. Each table comes with a vtable (which may be shared between multiple tables with the same layout), and contains information where fields for this particular kind of instance of vtable are stored. The vtable may also indicate that the field is not present (because this FlatBuffer was written with an older version of the software, of simply because the information was not necessary for this instance, or deemed deprecated), in which case a default value is returned.</p>
<p>Tables have a low overhead in memory (since vtables are small and shared) and in access cost (an extra indirection), but provide great flexibility. Tables may even cost less memory than the equivalent struct, since fields do not need to be stored when they are equal to their default.</p>
<p>FlatBuffers additionally offers "naked" structs, which do not offer forwards/backwards compatibility, but can be even smaller (useful for very small objects that are unlikely to change, like e.g. a coordinate pair or a RGBA color).</p>
<h3>Schemas</h3>
<p>While schemas reduce some generality (you can't just read any data without having its schema), they have a lot of upsides:</p>
<ul>
<li>Most information about the format can be factored into the generated code, reducing memory needed to store data, and time to access it.</li>
<li>The strong typing of the data definitions means less error checking/handling at runtime (less can go wrong).</li>
<li>A schema enables us to access a buffer without parsing.</li>
</ul>
<p>FlatBuffer schemas are fairly similar to those of the incumbent, Protocol Buffers, and generally should be readable to those familiar with the C family of languages. We chose to improve upon the features offered by .proto files in the following ways:</p>
<ul>
<li>Deprecation of fields instead of manual field id assignment. Extending an object in a .proto means hunting for a free slot among the numbers (preferring lower numbers since they have a more compact representation). Besides being inconvenient, it also makes removing fields problematic: you either have to keep them, not making it obvious that this field shouldn't be read/written anymore, and still generating accessors. Or you remove it, but now you risk that there's still old data around that uses that field by the time someone reuses that field id, with nasty consequences.</li>
<li>Differentiating between tables and structs (see above). Effectively all table fields are <code>optional</code>, and all struct fields are <code>required</code>.</li>
<li>Having a native vector type instead of <code>repeated</code>. This gives you a length without having to collect all items, and in the case of scalars provides for a more compact representation, and one that guarantees adjacency.</li>
<li>Having a native <code>union</code> type instead of using a series of <code>optional</code> fields, all of which must be checked individually.</li>
<li>Being able to define defaults for all scalars, instead of having to deal with their optionality at each access.</li>
<li>A parser that can deal with both schemas and data definitions (JSON compatible) uniformly. </li>
</ul>
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var NAVTREEINDEX0 =
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<tr id="row_0_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__building.html" target="_self">Building</a></td><td class="desc"></td></tr>
<tr id="row_1_"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__compiler.html" target="_self">Using the schema compiler</a></td><td class="desc"></td></tr>
<tr id="row_2_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__schemas.html" target="_self">Writing a schema</a></td><td class="desc"></td></tr>
<tr id="row_3_"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__cpp_usage.html" target="_self">Use in C++</a></td><td class="desc"></td></tr>
<tr id="row_4_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__java_usage.html" target="_self">Use in Java</a></td><td class="desc"></td></tr>
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<tr id="row_6_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__white_paper.html" target="_self">FlatBuffers white paper</a></td><td class="desc"></td></tr>
<tr id="row_7_"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="md__internals.html" target="_self">FlatBuffer Internals</a></td><td class="desc"></td></tr>
<tr id="row_8_" class="even"><td class="entry"><img src="ftv2lastnode.png" alt="\" width="16" height="22" /><a class="el" href="md__grammar.html" target="_self">Formal Grammar of the schema language</a></td><td class="desc"></td></tr>
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Benchmarks {#flatbuffers_benchmarks}
==========
# Benchmarks
Comparing against other serialization solutions, running on Windows 7
64bit. We use the LITE runtime for Protocol Buffers (less code / lower
overhead), Rapid JSON (one of the fastest C++ JSON parsers around),
and pugixml, also one of the fastest XML parsers.
We also compare against code that doesn't use a serialization library
at all (the column "Raw structs"), which is what you get if you write
hardcoded code that just writes structs. This is the fastest possible,
but of course is not cross platform nor has any kind of forwards /
backwards compatibility.
overhead), and Rapid JSON, one of the fastest C++ JSON parsers around.
We compare against Flatbuffers with the binary wire format (as
intended), and also with JSON as the wire format with the optional JSON
@@ -21,17 +13,17 @@ The benchmark object is a set of about 10 objects containing an array, 4
strings, and a large variety of int/float scalar values of all sizes,
meant to be representative of game data, e.g. a scene format.
| | FlatBuffers (binary) | Protocol Buffers LITE | Rapid JSON | FlatBuffers (JSON) | pugixml | Raw structs |
|--------------------------------------------------------|-----------------------|-----------------------|-----------------------|------------------------| ----------------------| ----------------------|
| Decode + Traverse + Dealloc (1 million times, seconds) | 0.08 | 302 | 583 | 105 | 196 | 0.02 |
| Decode / Traverse / Dealloc (breakdown) | 0 / 0.08 / 0 | 220 / 0.15 / 81 | 294 / 0.9 / 287 | 70 / 0.08 / 35 | 41 / 3.9 / 150 | 0 / 0.02 / 0 |
| Encode (1 million times, seconds) | 3.2 | 185 | 650 | 169 | 273 | 0.15 |
| Wire format size (normal / zlib, bytes) | 344 / 220 | 228 / 174 | 1475 / 322 | 1029 / 298 | 1137 / 341 | 312 / 187 |
| Memory needed to store decoded wire (bytes / blocks) | 0 / 0 | 760 / 20 | 65689 / 4 | 328 / 1 | 34194 / 3 | 0 / 0 |
| Transient memory allocated during decode (KB) | 0 | 1 | 131 | 4 | 34 | 0 |
| Generated source code size (KB) | 4 | 61 | 0 | 4 | 0 | 0 |
| Field access in handwritten traversal code | typed accessors | typed accessors | manual error checking | typed accessors | manual error checking | typed but no safety |
| Library source code (KB) | 15 | some subset of 3800 | 87 | 43 | 327 | 0 |
| | FlatBuffers (binary) | Protocol Buffers LITE | Rapid JSON | FlatBuffers (JSON) |
|--------------------------------------------------------|-----------------------|-----------------------|-----------------------|-----------------------|
| Decode + Traverse + Dealloc (1 million times, seconds) | 0.08 | 305 | 583 | 105 |
| Decode / Traverse / Dealloc (breakdown) | 0 / 0.08 / 0 | 220 / 3.6 / 81 | 294 / 0.9 / 287 | 70 / 0.08 / 35 |
| Encode (1 million times, seconds) | 3.2 | 185 | 650 | 169 |
| Wire format size (normal / zlib, bytes) | 344 / 220 | 228 / 174 | 1475 / 322 | 1029 / 298 |
| Memory needed to store decoded wire (bytes / blocks) | 0 / 0 | 760 / 20 | 65689 / 40 | 328 / 1 |
| Transient memory allocated during decode (KB) | 0 | 1 | 131 | 4 |
| Generated source code size (KB) | 4 | 61 | 0 | 4 |
| Field access in handwritten traversal code | accessors | accessors | manual error checking | accessors |
| Library source code (KB) | 15 | some subset of 3800 | 87 | 43 |
### Some other serialization systems we compared against but did not benchmark (yet), in rough order of applicability:
@@ -40,10 +32,12 @@ meant to be representative of game data, e.g. a scene format.
optional fields to allow deprecating fields or serializing with missing
fields for which defaults exist).
It currently also isn't fully cross-platform portable (lack of VS support).
- msgpack: has very minimal forwards/backwards compatibility support when used
- msgpack: has very minimal forwards/backwards compatability support when used
with the typed C++ interface. Also lacks VS2010 support.
- Thrift: very similar to Protocol Buffers, but appears to be less efficient,
and have more dependencies.
- XML: typically even slower than JSON, but has the advantage that it can be
parsed with a schema to reduce error-checking boilerplate code.
- YAML: a superset of JSON and otherwise very similar. Used by e.g. Unity.
- C# comes with built-in serialization functionality, as used by Unity also.
Being tied to the language, and having no automatic versioning support
@@ -53,11 +47,3 @@ meant to be representative of game data, e.g. a scene format.
fields manually), is very much tied to the rest of the engine, and works
without a schema to generate code (tied to your C++ class definition).
### Code for benchmarks
Code for these benchmarks sits in `benchmarks/` in git branch `benchmarks`.
It sits in its own branch because it has submodule dependencies that the main
project doesn't need, and the code standards do not meet those of the main
project. Please read `benchmarks/cpp/README.txt` before working with the code.
<br>

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@@ -1,9 +1,9 @@
Building {#flatbuffers_guide_building}
========
# Building
## Building with CMake
There are project files for Visual Studio and Xcode that should allow you
to build the compiler `flatc`, the samples and the tests out of the box.
The distribution comes with a `cmake` file that should allow
Alternatively, the distribution comes with a `cmake` file that should allow
you to build project/make files for any platform. For details on `cmake`, see
<http://www.cmake.org>. In brief, depending on your platform, use one of
e.g.:
@@ -18,45 +18,26 @@ Note that to use clang instead of gcc, you may need to set up your environment
variables, e.g.
`CC=/usr/bin/clang CXX=/usr/bin/clang++ cmake -G "Unix Makefiles"`.
Optionally, run the `flattests` executable from the root `flatbuffers/`
directory to ensure everything is working correctly on your system. If this
fails, please contact us!
Optionally, run the `flattests` executable.
to ensure everything is working correctly on your system. If this fails,
please contact us!
Building should also produce two sample executables, `flatsamplebinary` and
`flatsampletext`, see the corresponding `.cpp` files in the
`flatbuffers/samples` directory.
Building should also produce two sample executables, `sample_binary` and
`sample_text`, see the corresponding `.cpp` file in the samples directory.
*Note that you MUST be in the root of the FlatBuffers distribution when you
run 'flattests' or `flatsampletext`, or it will fail to load its files.*
## Building for Android
There is a `flatbuffers/android` directory that contains all you need to build
the test executable on android (use the included `build_apk.sh` script, or use
There is an `android` directory that contains all you need to build the test
executable on android (use the included `build_apk.sh` script, or use
`ndk_build` / `adb` etc. as usual). Upon running, it will output to the log
if tests succeeded or not.
You may also run an android sample from inside the `flatbuffers/samples`, by
running the `android_sample.sh` script. Optionally, you may go to the
`flatbuffers/samples/android` folder and build the sample with the
`build_apk.sh` script or `ndk_build` / `adb` etc.
## Using FlatBuffers in your own projects.
For C++, there is usually no runtime to compile, as the code consists of a
single header, `include/flatbuffers/flatbuffers.h`. You should add the
There is usually no runtime to compile, as the code consists of a single
header, `include/flatbuffers/flatbuffers.h`. You should add the
`include` folder to your include paths. If you wish to be
able to load schemas and/or parse text into binary buffers at runtime,
you additionally need the other headers in `include/flatbuffers`. You must
also compile/link `src/idl_parser.cpp` (and `src/idl_gen_text.cpp` if you
also want to be able convert binary to text).
To see how to include FlatBuffers in any of our supported languages, please
view the [Tutorial](@ref flatbuffers_guide_tutorial) and select your appropriate
language using the radio buttons.
#### For Google Play apps
For applications on Google Play that integrate this library, usage is tracked.
This tracking is done automatically using the embedded version string
(flatbuffer_version_string), and helps us continue to optimize it.

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../../CONTRIBUTING.md

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Use in C {#flatbuffers_guide_use_c}
==========
The C language binding exists in a separate project named [FlatCC](https://github.com/dvidelabs/flatcc).
The `flatcc` C schema compiler can generate code offline as well as
online via a C library. It can also generate buffer verifiers and fast
JSON parsers, printers.
Great care has been taken to ensure compatibily with the main `flatc`
project.
## General Documention
- [Tutorial](@ref flatbuffers_guide_tutorial) - select C as language
when scrolling down
- [FlatCC Guide](https://github.com/dvidelabs/flatcc#flatcc-flatbuffers-in-c-for-c)
- [The C Builder Interface](https://github.com/dvidelabs/flatcc/blob/master/doc/builder.md#the-builder-interface)
- [The Monster Sample in C](https://github.com/dvidelabs/flatcc/blob/master/samples/monster/monster.c)
- [GitHub](https://github.com/dvidelabs/flatcc)
## Supported Platforms
- Ubuntu (clang / gcc, ninja / gnu make)
- OS-X (clang / gcc, ninja / gnu make)
- Windows MSVC 2010, 2013, 2015
CI builds recent versions of gcc, clang and MSVC on OS-X, Ubuntu, and
Windows, and occasionally older compiler versions. See main project [Status](https://github.com/dvidelabs/flatcc#status).
Other platforms may well work, including Centos, but are not tested
regularly.
The monster sample project was specifically written for C99 in order to
follow the C++ version and for that reason it will not work with MSVC
2010.
## Modular Object Creation
In the tutorial we used the call `Monster_create_as_root` to create the
root buffer object since this is easier in simple use cases. Sometimes
we need more modularity so we can reuse a function to create nested
tables and root tables the same way. For this we need the
`flatcc_builder_buffer_create_call`. It is best to keep `flatcc_builder`
calls isolated at the top driver level, so we get:
<div class="language-c">
~~~{.c}
ns(Monster_ref_t) create_orc(flatcc_builder_t *B)
{
// ... same as in the tutorial.
return s(Monster_create(B, ...));
}
void create_monster_buffer()
{
uint8_t *buf;
size_t size;
flatcc_builder_t builder, *B;
// Initialize the builder object.
B = &builder;
flatcc_builder_init(B);
// Only use `buffer_create` without `create/start/end_as_root`.
flatcc_builder_buffer_create(create_orc(B));
// Allocate and copy buffer to user memory.
buf = flatcc_builder_finalize_buffer(B, &size);
// ... write the buffer to disk or network, or something.
free(buf);
flatcc_builder_clear(B);
}
~~~
</div>
The same principle applies with `start/end` vs `start/end_as_root` in
the top-down approach.
## Top Down Example
The tutorial uses a bottom up approach. In C it is also possible to use
a top-down approach by starting and ending objects nested within each
other. In the tutorial there is no deep nesting, so the difference is
limited, but it shows the idea:
<div class="language-c">
<br>
~~~{.c}
uint8_t treasure[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
size_t treasure_count = c_vec_len(treasure);
ns(Weapon_ref_t) axe;
// NOTE: if we use end_as_root, we MUST also start as root.
ns(Monster_start_as_root(B));
ns(Monster_pos_create(B, 1.0f, 2.0f, 3.0f));
ns(Monster_hp_add(B, 300));
ns(Monster_mana_add(B, 150));
// We use create_str instead of add because we have no existing string reference.
ns(Monster_name_create_str(B, "Orc"));
// Again we use create because we no existing vector object, only a C-array.
ns(Monster_inventory_create(B, treasure, treasure_count));
ns(Monster_color_add(B, ns(Color_Red)));
if (1) {
ns(Monster_weapons_start(B));
ns(Monster_weapons_push_create(B, flatbuffers_string_create_str(B, "Sword"), 3));
// We reuse the axe object later. Note that we dereference a pointer
// because push always returns a short-term pointer to the stored element.
// We could also have created the axe object first and simply pushed it.
axe = *ns(Monster_weapons_push_create(B, flatbuffers_string_create_str(B, "Axe"), 5));
ns(Monster_weapons_end(B));
} else {
// We can have more control with the table elements added to a vector:
//
ns(Monster_weapons_start(B));
ns(Monster_weapons_push_start(B));
ns(Weapon_name_create_str(B, "Sword"));
ns(Weapon_damage_add(B, 3));
ns(Monster_weapons_push_end(B));
ns(Monster_weapons_push_start(B));
ns(Monster_weapons_push_start(B));
ns(Weapon_name_create_str(B, "Axe"));
ns(Weapon_damage_add(B, 5));
axe = *ns(Monster_weapons_push_end(B));
ns(Monster_weapons_end(B));
}
// Unions can get their type by using a type-specific add/create/start method.
ns(Monster_equipped_Weapon_add(B, axe));
ns(Monster_end_as_root(B));
~~~
</div>
## Basic Reflection
The C-API does support reading binary schema (.bfbs)
files via code generated from the `reflection.fbs` schema, and an
[example usage](https://github.com/dvidelabs/flatcc/tree/master/samples/reflection)
shows how to use this. The reflection schema files are pre-generated
in the [runtime distribution](https://github.com/dvidelabs/flatcc/tree/master/include/flatcc/reflection).
## Mutations and Reflection
The C-API does not support mutating reflection like C++ does, nor does
the reader interface support mutating scalars (and it is generally
unsafe to do so even after verification).
The generated reader interface supports sorting vectors in-place after
casting them to a mutating type because it is not practical to do so
while building a buffer. This is covered in the builder documentation.
The reflection example makes use of this feature to look up objects by
name.
It is possible to build new buffers using complex objects from existing
buffers as source. This can be very efficient due to direct copy
semantics without endian conversion or temporary stack allocation.
Scalars, structs and strings can be used as source, as well vectors of
these.
It is currently not possible to use an existing table or vector of table
as source, but it would be possible to add support for this at some
point.
## Namespaces
The `FLATBUFFERS_WRAP_NAMESPACE` approach used in the tutorial is convenient
when each function has a very long namespace prefix. But it isn't always
the best approach. If the namespace is absent, or simple and
informative, we might as well use the prefix directly. The
[reflection example](https://github.com/dvidelabs/flatcc/blob/master/samples/reflection/bfbs2json.c)
mentioned above uses this approach.
## Checking for Present Members
Not all languages support testing if a field is present, but in C we can
elaborate the reader section of the tutorial with tests for this. Recall
that `mana` was set to the default value `150` and therefore shouldn't
be present.
<div class="language-c">
~~~{.c}
int hp_present = ns(Monster_hp_is_present(monster)); // 1
int mana_present = ns(Monster_mana_is_present(monster)); // 0
~~~
</div>
## Alternative ways to add a Union
In the tutorial we used a single call to add a union. Here we show
different ways to accomplish the same thing. The last form is rarely
used, but is the low-level way to do it. It can be used to group small
values together in the table by adding type and data at different
points in time.
<div class="language-c">
~~~{.c}
ns(Equipment_union_ref_t) equipped = ns(Equipment_as_Weapon(axe));
ns(Monster_equipped_add(B, equipped));
// or alternatively
ns(Monster_equipped_Weapon_add(B, axe);
// or alternatively
ns(Monster_equipped_add_type(B, ns(Equipment_Weapon));
ns(Monster_equipped_add_member(B, axe));
~~~
</div>
## Why not integrate with the `flatc` tool?
[It was considered how the C code generator could be integrated into the
`flatc` tool](https://github.com/dvidelabs/flatcc/issues/1), but it
would either require that the standalone C implementation of the schema
compiler was dropped, or it would lead to excessive code duplication, or
a complicated intermediate representation would have to be invented.
Neither of these alternatives are very attractive, and it isn't a big
deal to use the `flatcc` tool instead of `flatc` given that the
FlatBuffers C runtime library needs to be made available regardless.

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@@ -1,129 +1,22 @@
Using the schema compiler {#flatbuffers_guide_using_schema_compiler}
=========================
# Using the schema compiler
Usage:
flatc [ GENERATOR OPTIONS ] [ -o PATH ] [ -I PATH ] [ -S ] FILES...
[ -- FILES...]
flatc [ -c ] [ -j ] [ -b ] [ -t ] file1 file2 ..
The files are read and parsed in order, and can contain either schemas
or data (see below). Data files are processed according to the definitions of
the most recent schema specified.
`--` indicates that the following files are binary files in
FlatBuffer format conforming to the schema indicated before it.
Depending on the flags passed, additional files may
or data (see below). Later files can make use of definitions in earlier
files. Depending on the flags passed, additional files may
be generated for each file processed:
For any schema input files, one or more generators can be specified:
- `-c` : Generate a C++ header for all definitions in this file (as
`filename_generated.h`). Skips data.
- `--cpp`, `-c` : Generate a C++ header for all definitions in this file (as
`filename_generated.h`).
- `-j` : Generate Java classes.
- `--java`, `-j` : Generate Java code.
- `-b` : If data is contained in this file, generate a
`filename_wire.bin` containing the binary flatbuffer.
- `--csharp`, `-n` : Generate C# code.
- `-t` : If data is contained in this file, generate a
`filename_wire.txt` (for debugging).
- `--go`, `-g` : Generate Go code.
- `--python`, `-p`: Generate Python code.
- `--js`, `-s`: Generate JavaScript code.
- `--php`: Generate PHP code.
- `--grpc`: Generate RPC stub code for GRPC.
For any data input files:
- `--binary`, `-b` : If data is contained in this file, generate a
`filename.bin` containing the binary flatbuffer (or a different extension
if one is specified in the schema).
- `--json`, `-t` : If data is contained in this file, generate a
`filename.json` representing the data in the flatbuffer.
Additional options:
- `-o PATH` : Output all generated files to PATH (either absolute, or
relative to the current directory). If omitted, PATH will be the
current directory. PATH should end in your systems path separator,
e.g. `/` or `\`.
- `-I PATH` : when encountering `include` statements, attempt to load the
files from this path. Paths will be tried in the order given, and if all
fail (or none are specified) it will try to load relative to the path of
the schema file being parsed.
- `-M` : Print make rules for generated files.
- `--strict-json` : Require & generate strict JSON (field names are enclosed
in quotes, no trailing commas in tables/vectors). By default, no quotes are
required/generated, and trailing commas are allowed.
- `--defaults-json` : Output fields whose value is equal to the default value
when writing JSON text.
- `--no-prefix` : Don't prefix enum values in generated C++ by their enum
type.
- `--scoped-enums` : Use C++11 style scoped and strongly typed enums in
generated C++. This also implies `--no-prefix`.
- `--gen-includes` : (deprecated), this is the default behavior.
If the original behavior is required (no include
statements) use `--no-includes.`
- `--no-includes` : Don't generate include statements for included schemas the
generated file depends on (C++).
- `--gen-mutable` : Generate additional non-const accessors for mutating
FlatBuffers in-place.
`--gen-object-api` : Generate an additional object-based API. This API is
more convenient for object construction and mutation than the base API,
at the cost of efficiency (object allocation). Recommended only to be used
if other options are insufficient.
- `--gen-onefile` : Generate single output file (useful for C#)
- `--gen-all`: Generate not just code for the current schema files, but
for all files it includes as well. If the language uses a single file for
output (by default the case for C++ and JS), all code will end up in
this one file.
- `--no-js-exports` : Removes Node.js style export lines (useful for JS)
- `--goog-js-export` : Uses goog.exportsSymbol and goog.exportsProperty
instead of Node.js style exporting. Needed for compatibility with the
Google closure compiler (useful for JS).
- `--raw-binary` : Allow binaries without a file_indentifier to be read.
This may crash flatc given a mismatched schema.
- `--proto`: Expect input files to be .proto files (protocol buffers).
Output the corresponding .fbs file.
Currently supports: `package`, `message`, `enum`, nested declarations,
`import` (use `-I` for paths), `extend`, `oneof`, `group`.
Does not support, but will skip without error: `option`, `service`,
`extensions`, and most everything else.
- `--schema`: Serialize schemas instead of JSON (use with -b). This will
output a binary version of the specified schema that itself corresponds
to the reflection/reflection.fbs schema. Loading this binary file is the
basis for reflection functionality.
- `--bfbs-comments`: Add doc comments to the binary schema files.
- `--conform FILE` : Specify a schema the following schemas should be
an evolution of. Gives errors if not. Useful to check if schema
modifications don't break schema evolution rules.
- `--include-prefix PATH` : Prefix this path to any generated include
statements.
- `--keep-prefix` : Keep original prefix of schema include statement.
NOTE: short-form options for generators are deprecated, use the long form
whenever possible.

View File

@@ -1,263 +1,136 @@
Use in C++ {#flatbuffers_guide_use_cpp}
==========
# Use in C++
## Before you get started
Before diving into the FlatBuffers usage in C++, it should be noted that
the [Tutorial](@ref flatbuffers_guide_tutorial) page has a complete guide
to general FlatBuffers usage in all of the supported languages (including C++).
This page is designed to cover the nuances of FlatBuffers usage, specific to
C++.
#### Prerequisites
This page assumes you have written a FlatBuffers schema and compiled it
with the Schema Compiler. If you have not, please see
[Using the schema compiler](@ref flatbuffers_guide_using_schema_compiler)
and [Writing a schema](@ref flatbuffers_guide_writing_schema).
Assuming you wrote a schema, say `mygame.fbs` (though the extension doesn't
matter), you've generated a C++ header called `mygame_generated.h` using the
Assuming you have written a schema using the above language in say
`mygame.fbs` (FlatBuffer Schema, though the extension doesn't matter),
you've generated a C++ header called `mygame_generated.h` using the
compiler (e.g. `flatc -c mygame.fbs`), you can now start using this in
your program by including the header. As noted, this header relies on
`flatbuffers/flatbuffers.h`, which should be in your include path.
## FlatBuffers C++ library code location
### Writing in C++
The code for the FlatBuffers C++ library can be found at
`flatbuffers/include/flatbuffers`. You can browse the library code on the
[FlatBuffers GitHub page](https://github.com/google/flatbuffers/tree/master/include/flatbuffers).
To start creating a buffer, create an instance of `FlatBufferBuilder`
which will contain the buffer as it grows:
## Testing the FlatBuffers C++ library
The code to test the C++ library can be found at `flatbuffers/tests`.
The test code itself is located in
[test.cpp](https://github.com/google/flatbuffers/blob/master/tests/test.cpp).
This test file is built alongside `flatc`. To review how to build the project,
please read the [Building](@ref flatbuffers_guide_building) documenation.
To run the tests, execute `flattests` from the root `flatbuffers/` directory.
For example, on [Linux](https://en.wikipedia.org/wiki/Linux), you would simply
run: `./flattests`.
## Using the FlatBuffers C++ library
*Note: See [Tutorial](@ref flatbuffers_guide_tutorial) for a more in-depth
example of how to use FlatBuffers in C++.*
FlatBuffers supports both reading and writing FlatBuffers in C++.
To use FlatBuffers in your code, first generate the C++ classes from your
schema with the `--cpp` option to `flatc`. Then you can include both FlatBuffers
and the generated code to read or write FlatBuffers.
For example, here is how you would read a FlatBuffer binary file in C++:
First, include the library and generated code. Then read the file into
a `char *` array, which you pass to `GetMonster()`.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
#include "flatbuffers/flatbuffers.h"
#include "monster_test_generate.h"
#include <cstdio> // For printing and file access.
FILE* file = fopen("monsterdata_test.mon", "rb");
fseek(file, 0L, SEEK_END);
int length = ftell(file);
fseek(file, 0L, SEEK_SET);
char *data = new char[length];
fread(data, sizeof(char), length, file);
fclose(file);
auto monster = GetMonster(data);
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
`monster` is of type `Monster *`, and points to somewhere *inside* your
buffer (root object pointers are not the same as `buffer_pointer` !).
If you look in your generated header, you'll see it has
convenient accessors for all fields, e.g. `hp()`, `mana()`, etc:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
printf("%d\n", monster->hp()); // `80`
printf("%d\n", monster->mana()); // default value of `150`
printf("%s\n", monster->name()->c_str()); // "MyMonster"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*Note: That we never stored a `mana` value, so it will return the default.*
## Object based API. {#flatbuffers_cpp_object_based_api}
FlatBuffers is all about memory efficiency, which is why its base API is written
around using as little as possible of it. This does make the API clumsier
(requiring pre-order construction of all data, and making mutation harder).
For times when efficiency is less important a more convenient object based API
can be used (through `--gen-object-api`) that is able to unpack & pack a
FlatBuffer into objects and standard STL containers, allowing for convenient
construction, access and mutation.
To use:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
// Autogenerated class from table Monster.
MonsterT monsterobj;
// Deserialize from buffer into object.
UnPackTo(&monsterobj, flatbuffer);
// Update object directly like a C++ class instance.
cout << monsterobj->name; // This is now a std::string!
monsterobj->name = "Bob"; // Change the name.
// Serialize into new flatbuffer.
FlatBufferBuilder fbb;
Pack(fbb, &monsterobj);
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The following attributes are specific to the object-based API code generation:
Before we serialize a Monster, we need to first serialize any objects
that are contained there-in, i.e. we serialize the data tree using
depth first, pre-order traversal. This is generally easy to do on
any tree structures. For example:
- `native_inline` (on a field): Because FlatBuffer tables and structs are
optionally present in a given buffer, they are best represented as pointers
(specifically std::unique_ptrs) in the native class since they can be null.
This attribute changes the member declaration to use the type directly
rather than wrapped in a unique_ptr.
auto name = fbb.CreateString("MyMonster");
- `native_default`: "value" (on a field): For members that are declared
"native_inline", the value specified with this attribute will be included
verbatim in the class constructor initializer list for this member.
unsigned char inv[] = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 };
auto inventory = fbb.CreateVector(inv, 10);
- `native_type`' "type" (on a struct): In some cases, a more optimal C++ data
type exists for a given struct. For example, the following schema:
`CreateString` and `CreateVector` serialize these two built-in
datatypes, and return offsets into the serialized data indicating where
they are stored, such that `Monster` below can refer to them.
struct Vec2 {
x: float;
y: float;
}
`CreateString` can also take an `std::string`, or a `const char *` with
an explicit length, and is suitable for holding UTF-8 and binary
data if needed.
generates the following Object-Based API class:
`CreateVector` can also take an `std::vector`. The
offset it returns is typed, i.e. can only be used to set fields of the
correct type below. To create a vector of struct objects (which will
be stored as contiguous memory in the buffer, use `CreateVectorOfStructs`
instead.
struct Vec2T : flatbuffers::NativeTable {
float x;
float y;
};
Vec3 vec(1, 2, 3);
However, it can be useful to instead use a user-defined C++ type since it
can provide more functionality, eg.
`Vec3` is the first example of code from our generated
header. Structs (unlike tables) translate to simple structs in C++, so
we can construct them in a familiar way.
struct vector2 {
float x = 0, y = 0;
vector2 operator+(vector2 rhs) const { ... }
vector2 operator-(vector2 rhs) const { ... }
float length() const { ... }
// etc.
};
We have now serialized the non-scalar components of of the monster
example, so we could create the monster something like this:
The `native_type` attribute will replace the usage of the generated class
with the given type. So, continuing with the example, the generated
code would use |vector2| in place of |Vec2T| for all generated code.
auto mloc = CreateMonster(fbb, &vec, 150, 80, name, inventory, Color_Red, Offset<void>(0), Any_NONE);
However, becuase the native_type is unknown to flatbuffers, the user must
provide the following functions to aide in the serialization process:
Note that we're passing `150` for the `mana` field, which happens to be the
default value: this means the field will not actually be written to the buffer,
since we'll get that value anyway when we query it. This is a nice space
savings, since it is very common for fields to be at their default. It means
we also don't need to be scared to add fields only used in a minority of cases,
since they won't bloat up the buffer sizes if they're not actually used.
namespace flatbuffers {
FlatbufferStruct Pack(const native_type& obj);
native_type UnPack(const FlatbufferStruct& obj);
}
We do something similarly for the union field `test` by specifying a `0` offset
and the `NONE` enum value (part of every union) to indicate we don't actually
want to write this field.
Finally, the following top-level attribute
Tables (like `Monster`) give you full flexibility on what fields you write
(unlike `Vec3`, which always has all fields set because it is a `struct`).
If you want even more control over this (i.e. skip fields even when they are
not default), instead of the convenient `CreateMonster` call we can also
build the object field-by-field manually:
- native_include: "path" (at file level): Because the `native_type` attribute
can be used to introduce types that are unknown to flatbuffers, it may be
necessary to include "external" header files in the generated code. This
attribute can be used to directly add an #include directive to the top of
the generated code that includes the specified path directly.
MonsterBuilder mb(fbb);
mb.add_pos(&vec);
mb.add_hp(80);
mb.add_name(name);
mb.add_inventory(inventory);
auto mloc = mb.Finish();
# External references.
We start with a temporary helper class `MonsterBuilder` (which is
defined in our generated code also), then call the various `add_`
methods to set fields, and `Finish` to complete the object. This is
pretty much the same code as you find inside `CreateMonster`, except
we're leaving out a few fields. Fields may also be added in any order,
though orderings with fields of the same size adjacent
to each other most efficient in size, due to alignment. You should
not nest these Builder classes (serialize your
data in pre-order).
An additional feature of the object API is the ability to allow you to load
multiple independent FlatBuffers, and have them refer to eachothers objects
using hashes which are then represented as typed pointers in the object API.
Regardless of whether you used `CreateMonster` or `MonsterBuilder`, you
now have an offset to the root of your data, and you can finish the
buffer using:
To make this work have a field in the objects you want to referred to which is
using the string hashing feature (see `hash` attribute in the
[schema](@ref flatbuffers_guide_writing_schema) documentation). Then you have
a similar hash in the field referring to it, along with a `cpp_type`
attribute specifying the C++ type this will refer to (this can be any C++
type, and will get a `*` added).
fbb.Finish(mloc);
Then, in JSON or however you create these buffers, make sure they use the
same string (or hash).
The buffer is now ready to be stored somewhere, sent over the network,
be compressed, or whatever you'd like to do with it. You can access the
start of the buffer with `fbb.GetBufferPointer()`, and it's size from
`fbb.GetSize()`.
When you call `UnPack` (or `Create`), you'll need a function that maps from
hash to the object (see `resolver_function_t` for details).
`samples/sample_binary.cpp` is a complete code sample similar to
the code above, that also includes the reading code below.
# Using different pointer types.
### Reading in C++
By default the object tree is built out of `std::unique_ptr`, but you can
influence this either globally (using the `--cpp-ptr-type` argument to
`flatc`) or per field (using the `cpp_ptr_type` attribute) to by any smart
pointer type (`my_ptr<T>`), or by specifying `naked` as the type to get `T *`
pointers. Unlike the smart pointers, naked pointers do not manage memory for
you, so you'll have to manage their lifecycles manually.
If you've received a buffer from somewhere (disk, network, etc.) you can
directly start traversing it using:
auto monster = GetMonster(buffer_pointer);
# Using different string type.
`monster` is of type `Monster *`, and points to somewhere inside your
buffer. If you look in your generated header, you'll see it has
convenient accessors for all fields, e.g.
By default the object tree is built out of `std::string`, but you can
influence this either globally (using the `--cpp-str-type` argument to
`flatc`) or per field using the `cpp_str_type` attribute.
assert(monster->hp() == 80);
assert(monster->mana() == 150); // default
assert(strcmp(monster->name()->c_str(), "MyMonster") == 0);
The type must support T::c_str() and T::length() as member functions.
These should all be true. Note that we never stored a `mana` value, so
it will return the default.
## Reflection (& Resizing)
To access sub-objects, in this case the `Vec3`:
There is experimental support for reflection in FlatBuffers, allowing you to
read and write data even if you don't know the exact format of a buffer, and
even allows you to change sizes of strings and vectors in-place.
auto pos = monster->pos();
assert(pos);
assert(pos->z() == 3);
The way this works is very elegant; there is actually a FlatBuffer schema that
describes schemas (!) which you can find in `reflection/reflection.fbs`.
The compiler, `flatc`, can write out any schemas it has just parsed as a binary
FlatBuffer, corresponding to this meta-schema.
If we had not set the `pos` field during serialization, it would be
`NULL`.
Loading in one of these binary schemas at runtime allows you traverse any
FlatBuffer data that corresponds to it without knowing the exact format. You
can query what fields are present, and then read/write them after.
Similarly, we can access elements of the inventory array:
For convenient field manipulation, you can include the header
`flatbuffers/reflection.h` which includes both the generated code from the meta
schema, as well as a lot of helper functions.
auto inv = monster->inventory();
assert(inv);
assert(inv->Get(9) == 9);
And example of usage, for the time being, can be found in
`test.cpp/ReflectionTest()`.
## Storing maps / dictionaries in a FlatBuffer
FlatBuffers doesn't support maps natively, but there is support to
emulate their behavior with vectors and binary search, which means you
can have fast lookups directly from a FlatBuffer without having to unpack
your data into a `std::map` or similar.
To use it:
- Designate one of the fields in a table as they "key" field. You do this
by setting the `key` attribute on this field, e.g.
`name:string (key)`.
You may only have one key field, and it must be of string or scalar type.
- Write out tables of this type as usual, collect their offsets in an
array or vector.
- Instead of `CreateVector`, call `CreateVectorOfSortedTables`,
which will first sort all offsets such that the tables they refer to
are sorted by the key field, then serialize it.
- Now when you're accessing the FlatBuffer, you can use `Vector::LookupByKey`
instead of just `Vector::Get` to access elements of the vector, e.g.:
`myvector->LookupByKey("Fred")`, which returns a pointer to the
corresponding table type, or `nullptr` if not found.
`LookupByKey` performs a binary search, so should have a similar speed to
`std::map`, though may be faster because of better caching. `LookupByKey`
only works if the vector has been sorted, it will likely not find elements
if it hasn't been sorted.
## Direct memory access
### Direct memory access
As you can see from the above examples, all elements in a buffer are
accessed through generated accessors. This is because everything is
@@ -282,47 +155,6 @@ machines, so only use tricks like this if you can guarantee you're not
shipping on a big endian machine (an `assert(FLATBUFFERS_LITTLEENDIAN)`
would be wise).
## Access of untrusted buffers
The generated accessor functions access fields over offsets, which is
very quick. These offsets are not verified at run-time, so a malformed
buffer could cause a program to crash by accessing random memory.
When you're processing large amounts of data from a source you know (e.g.
your own generated data on disk), this is acceptable, but when reading
data from the network that can potentially have been modified by an
attacker, this is undesirable.
For this reason, you can optionally use a buffer verifier before you
access the data. This verifier will check all offsets, all sizes of
fields, and null termination of strings to ensure that when a buffer
is accessed, all reads will end up inside the buffer.
Each root type will have a verification function generated for it,
e.g. for `Monster`, you can call:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
bool ok = VerifyMonsterBuffer(Verifier(buf, len));
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
if `ok` is true, the buffer is safe to read.
Besides untrusted data, this function may be useful to call in debug
mode, as extra insurance against data being corrupted somewhere along
the way.
While verifying a buffer isn't "free", it is typically faster than
a full traversal (since any scalar data is not actually touched),
and since it may cause the buffer to be brought into cache before
reading, the actual overhead may be even lower than expected.
In specialized cases where a denial of service attack is possible,
the verifier has two additional constructor arguments that allow
you to limit the nesting depth and total amount of tables the
verifier may encounter before declaring the buffer malformed. The default is
`Verifier(buf, len, 64 /* max depth */, 1000000, /* max tables */)` which
should be sufficient for most uses.
## Text & schema parsing
Using binary buffers with the generated header provides a super low
@@ -334,12 +166,9 @@ Another reason might be that you already have a lot of data in JSON
format, or a tool that generates JSON, and if you can write a schema for
it, this will provide you an easy way to use that data directly.
(see the schema documentation for some specifics on the JSON format
accepted).
There are two ways to use text formats:
#### Using the compiler as a conversion tool
### Using the compiler as a conversion tool
This is the preferred path, as it doesn't require you to add any new
code to your program, and is maximally efficient since you can ship with
@@ -351,7 +180,7 @@ users/developers to perform, though you might be able to automate it.
This will generate the binary file `mydata_wire.bin` which can be loaded
as before.
#### Making your program capable of loading text directly
### Making your program capable of loading text directly
This gives you maximum flexibility. You could even opt to support both,
i.e. check for both files, and regenerate the binary from text when
@@ -367,15 +196,11 @@ Load text (either a schema or json) into an in-memory buffer (there is a
convenient `LoadFile()` utility function in `flatbuffers/util.h` if you
wish). Construct a parser:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
flatbuffers::Parser parser;
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Now you can parse any number of text files in sequence:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
parser.Parse(text_file.c_str());
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This works similarly to how the command-line compiler works: a sequence
of files parsed by the same `Parser` object allow later files to
@@ -383,10 +208,6 @@ reference definitions in earlier files. Typically this means you first
load a schema file (which populates `Parser` with definitions), followed
by one or more JSON files.
As optional argument to `Parse`, you may specify a null-terminated list of
include paths. If not specified, any include statements try to resolve from
the current directory.
If there were any parsing errors, `Parse` will return `false`, and
`Parser::err` contains a human readable error string with a line number
etc, which you should present to the creator of that file.
@@ -397,36 +218,9 @@ file, that you can access as described above.
`samples/sample_text.cpp` is a code sample showing the above operations.
## Threading
### Threading
Reading a FlatBuffer does not touch any memory outside the original buffer,
and is entirely read-only (all const), so is safe to access from multiple
threads even without synchronisation primitives.
None of the code is thread-safe, by design. That said, since currently a
FlatBuffer is read-only and entirely `const`, reading by multiple threads
is possible.
Creating a FlatBuffer is not thread safe. All state related to building
a FlatBuffer is contained in a FlatBufferBuilder instance, and no memory
outside of it is touched. To make this thread safe, either do not
share instances of FlatBufferBuilder between threads (recommended), or
manually wrap it in synchronisation primites. There's no automatic way to
accomplish this, by design, as we feel multithreaded construction
of a single buffer will be rare, and synchronisation overhead would be costly.
## Advanced union features
The C++ implementation currently supports vectors of unions (i.e. you can
declare a field as `[T]` where `T` is a union type instead of a table type). It
also supports structs and strings in unions, besides tables.
For an example of these features, see `tests/union_vector`, and
`UnionVectorTest` in `test.cpp`.
Since these features haven't been ported to other languages yet, if you
choose to use them, you won't be able to use these buffers in other languages
(`flatc` will refuse to compile a schema that uses these features).
These features reduce the amount of "table wrapping" that was previously
needed to use unions.
To use scalars, simply wrap them in a struct.
<br>

View File

@@ -1,15 +1,10 @@
FlatBuffers {#flatbuffers_index}
===========
# FlatBuffers
# Overview {#flatbuffers_overview}
[FlatBuffers](@ref flatbuffers_overview) is an efficient cross platform
serialization library for C++, C#, C, Go, Java, JavaScript, PHP, and Python.
It was originally created at Google for game development and other
FlatBuffers is an efficient cross platform serialization library in for C++ and
Java. It was created at Google specifically for game development and other
performance-critical applications.
It is available as Open Source on [GitHub](http://github.com/google/flatbuffers)
under the Apache license, v2 (see LICENSE.txt).
It is available as open source under the Apache license, v2 (see LICENSE.txt).
## Why use FlatBuffers?
@@ -20,8 +15,8 @@ under the Apache license, v2 (see LICENSE.txt).
structure evolution (forwards/backwards compatibility).
- **Memory efficiency and speed** - The only memory needed to access
your data is that of the buffer. It requires 0 additional allocations
(in C++, other languages may vary). FlatBuffers is also very
your data is that of the buffer. It requires 0 additional allocations.
FlatBuffers is also very
suitable for use with mmap (or streaming), requiring only part of the
buffer to be in memory. Access is close to the speed of raw
struct access with only one extra indirection (a kind of vtable) to
@@ -29,7 +24,7 @@ under the Apache license, v2 (see LICENSE.txt).
projects where spending time and space (many memory allocations) to
be able to access or construct serialized data is undesirable, such
as in games or any other performance sensitive applications. See the
[benchmarks](@ref flatbuffers_benchmarks) for details.
[benchmarks](md__benchmarks.html) for details.
- **Flexible** - Optional fields means not only do you get great
forwards and backwards compatibility (increasingly important for
@@ -51,11 +46,10 @@ under the Apache license, v2 (see LICENSE.txt).
needed (faster and more memory efficient than other JSON
parsers).
Java and Go code supports object-reuse. C# has efficient struct based
accessors.
Java code supports object-reuse.
- **Cross platform code with no dependencies** - C++ code will work
with any recent gcc/clang and VS2010. Comes with build files for the tests &
- **Cross platform C++11/Java code with no dependencies** - will work with
any recent gcc/clang and VS2010. Comes with build files for the tests &
samples (Android .mk files, and cmake for all other platforms).
### Why not use Protocol Buffers, or .. ?
@@ -78,22 +72,8 @@ inefficiency, but also forces you to write *more* code to access data
In this context, it is only a better choice for systems that have very
little to no information ahead of time about what data needs to be stored.
If you do need to store data that doesn't fit a schema, FlatBuffers also
offers a schema-less (self-describing) version!
Read more about the "why" of FlatBuffers in the
[white paper](@ref flatbuffers_white_paper).
### Who uses FlatBuffers?
- [Cocos2d-x](http://www.cocos2d-x.org/), the #1 open source mobile game
engine, uses it to serialize all their
[game data](http://www.cocos2d-x.org/reference/native-cpp/V3.5/d7/d2d/namespaceflatbuffers.html).
- [Facebook](http://facebook.com/) uses it for client-server communication in
their Android app. They have a nice
[article](https://code.facebook.com/posts/872547912839369/improving-facebook-s-performance-on-android-with-flatbuffers/)
explaining how it speeds up loading their posts.
- [Fun Propulsion Labs](https://developers.google.com/games/#Tools)
at Google uses it extensively in all their libraries and games.
[white paper](md__white_paper.html).
## Usage in brief
@@ -107,10 +87,10 @@ sections provide a more in-depth usage guide.
Fields are optional and have defaults, so they don't need to be
present for every object instance.
- Use `flatc` (the FlatBuffer compiler) to generate a C++ header (or
Java/C#/Go/Python.. classes) with helper classes to access and construct
serialized data. This header (say `mydata_generated.h`) only depends on
`flatbuffers.h`, which defines the core functionality.
- Use `flatc` (the FlatBuffer compiler) to generate a C++ header (or Java
classes) with helper classes to access and construct serialized data. This
header (say `mydata_generated.h`) only depends on `flatbuffers.h`, which
defines the core functionality.
- Use the `FlatBufferBuilder` class to construct a flat binary buffer.
The generated functions allow you to add objects to this
@@ -124,45 +104,23 @@ sections provide a more in-depth usage guide.
## In-depth documentation
- How to [build the compiler](@ref flatbuffers_guide_building) and samples on
various platforms.
- How to [use the compiler](@ref flatbuffers_guide_using_schema_compiler).
- How to [write a schema](@ref flatbuffers_guide_writing_schema).
- How to [use the generated C++ code](@ref flatbuffers_guide_use_cpp) in your
own programs.
- How to [use the generated Java/C# code](@ref flatbuffers_guide_use_java_c-sharp)
in your own programs.
- How to [use the generated Go code](@ref flatbuffers_guide_use_go) in your
own programs.
- How to [use FlatBuffers in C with `flatcc`](@ref flatbuffers_guide_use_c) in your
own programs.
- [Support matrix](@ref flatbuffers_support) for platforms/languages/features.
- Some [benchmarks](@ref flatbuffers_benchmarks) showing the advantage of
using FlatBuffers.
- A [white paper](@ref flatbuffers_white_paper) explaining the "why" of
- How to [build the compiler](md__building.html) and samples on various
platforms.
- How to [use the compiler](md__compiler.html).
- How to [write a schema](md__schemas.html).
- How to [use the generated C++ code](md__cpp_usage.html) in your own
programs.
- How to [use the generated Java code](md__java_usage.html) in your own
programs.
- Some [benchmarks](md__benchmarks.html) showing the advantage of using
FlatBuffers.
- How to use the [schema-less](@ref flexbuffers) version of
FlatBuffers.
- A description of the [internals](@ref flatbuffers_internals) of FlatBuffers.
- A formal [grammar](@ref flatbuffers_grammar) of the schema language.
- A [white paper](md__white_paper.html) explaining the "why" of FlatBuffers.
- A description of the [internals](md__internals.html) of FlatBuffers.
- A formal [grammar](md__grammar.html) of the schema language.
## Online resources
- [GitHub repository](http://github.com/google/flatbuffers)
- [Landing page](http://google.github.io/flatbuffers)
- [FlatBuffers Google Group](https://groups.google.com/forum/#!forum/flatbuffers)
- [github repository](http://github.com/google/flatbuffers)
- [landing page](http://google.github.io/flatbuffers)
- [FlatBuffers Google Group](http://group.google.com/group/flatbuffers)
- [FlatBuffers Issues Tracker](http://github.com/google/flatbuffers/issues)
- Independent implementations & tools:
- [FlatCC](https://github.com/dvidelabs/flatcc) Alternative FlatBuffers
parser, code generator and runtime all in C.
- Videos:
- Colt's [DevByte](https://www.youtube.com/watch?v=iQTxMkSJ1dQ).
- GDC 2015 [Lightning Talk](https://www.youtube.com/watch?v=olmL1fUnQAQ).
- FlatBuffers for [Go](https://www.youtube.com/watch?v=-BPVId_lA5w).
- Evolution of FlatBuffers
[visualization](https://www.youtube.com/watch?v=a0QE0xS8rKM).
- Useful documentation created by others:
- [FlatBuffers in Go](https://rwinslow.com/tags/flatbuffers/)
- [FlatBuffers in Android](http://frogermcs.github.io/flatbuffers-in-android-introdution/)
- [Parsing JSON to FlatBuffers in Java](http://frogermcs.github.io/json-parsing-with-flatbuffers-in-android/)
- [FlatBuffers in Unity](http://exiin.com/blog/flatbuffers-for-unity-sample-code/)

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@@ -1,166 +0,0 @@
FlexBuffers {#flexbuffers}
==========
FlatBuffers was designed around schemas, because when you want maximum
performance and data consistency, strong typing is helpful.
There are however times when you want to store data that doesn't fit a
schema, because you can't know ahead of time what all needs to be stored.
For this, FlatBuffers has a dedicated format, called FlexBuffers.
This is a binary format that can be used in conjunction
with FlatBuffers (by storing a part of a buffer in FlexBuffers
format), or also as its own independent serialization format.
While it loses the strong typing, you retain the most unique advantage
FlatBuffers has over other serialization formats (schema-based or not):
FlexBuffers can also be accessed without parsing / copying / object allocation.
This is a huge win in efficiency / memory friendly-ness, and allows unique
use cases such as mmap-ing large amounts of free-form data.
FlexBuffers' design and implementation allows for a very compact encoding,
combining automatic pooling of strings with automatic sizing of containers to
their smallest possible representation (8/16/32/64 bits). Many values and
offsets can be encoded in just 8 bits. While a schema-less representation is
usually more bulky because of the need to be self-descriptive, FlexBuffers
generates smaller binaries for many cases than regular FlatBuffers.
FlexBuffers is still slower than regular FlatBuffers though, so we recommend to
only use it if you need it.
# Usage
This is for C++, other languages may follow.
Include the header `flexbuffers.h`, which in turn depends on `flatbuffers.h`
and `util.h`.
To create a buffer:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
flexbuffers::Builder fbb;
fbb.Int(13);
fbb.Finish();
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You create any value, followed by `Finish`. Unlike FlatBuffers which requires
the root value to be a table, here any value can be the root, including a lonely
int value.
You can now access the `std::vector<uint8_t>` that contains the encoded value
as `fbb.GetBuffer()`. Write it, send it, or store it in a parent FlatBuffer. In
this case, the buffer is just 3 bytes in size.
To read this value back, you could just say:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
auto root = flexbuffers::GetRoot(my_buffer);
int64_t i = root.AsInt64();
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
FlexBuffers stores ints only as big as needed, so it doesn't differentiate
between different sizes of ints. You can ask for the 64 bit version,
regardless of what you put in. In fact, since you demand to read the root
as an int, if you supply a buffer that actually contains a float, or a
string with numbers in it, it will convert it for you on the fly as well,
or return 0 if it can't. If instead you actually want to know what is inside
the buffer before you access it, you can call `root.GetType()` or `root.IsInt()`
etc.
Here's a slightly more complex value you could write instead of `fbb.Int` above:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
fbb.Map([&]() {
fbb.Vector("vec", [&]() {
fbb.Int(-100);
fbb.String("Fred");
fbb.IndirectFloat(4.0f);
});
fbb.UInt("foo", 100);
});
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This stores the equivalent of the JSON value
`{ vec: [ -100, "Fred", 4.0 ], foo: 100 }`. The root is a dictionary that has
just two key-value pairs, with keys `vec` and `foo`. Unlike FlatBuffers, it
actually has to store these keys in the buffer (which it does only once if
you store multiple such objects, by pooling key values), but also unlike
FlatBuffers it has no restriction on the keys (fields) that you use.
The map constructor uses a C++11 Lambda to group its children, but you can
also use more conventional start/end calls if you prefer.
The first value in the map is a vector. You'll notice that unlike FlatBuffers,
you can use mixed types. There is also a `TypedVector` variant that only
allows a single type, and uses a bit less memory.
`IndirectFloat` is an interesting feature that allows you to store values
by offset rather than inline. Though that doesn't make any visible change
to the user, the consequence is that large values (especially doubles or
64 bit ints) that occur more than once can be shared. Another use case is
inside of vectors, where the largest element makes up the size of all elements
(e.g. a single double forces all elements to 64bit), so storing a lot of small
integers together with a double is more efficient if the double is indirect.
Accessing it:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.cpp}
auto map = flexbuffers::GetRoot(my_buffer).AsMap();
map.size(); // 2
auto vec = map["vec"].AsVector();
vec.size(); // 3
vec[0].AsInt64(); // -100;
vec[1].AsString().c_str(); // "Fred";
vec[1].AsInt64(); // 0 (Number parsing failed).
vec[2].AsDouble(); // 4.0
vec[2].AsString().IsTheEmptyString(); // true (Wrong Type).
vec[2].AsString().c_str(); // "" (This still works though).
vec[2].ToString().c_str(); // "4" (Or have it converted).
map["foo"].AsUInt8(); // 100
map["unknown"].IsNull(); // true
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Binary encoding
A description of how FlexBuffers are encoded is in the
[internals](Internals.md#flexbuffers) document.
# Nesting inside a FlatBuffer
You can mark a field as containing a FlexBuffer, e.g.
a:[ubyte] (flexbuffer);
A special accessor will be generated that allows you to access the root value
directly, e.g. `a_flexbuffer_root().AsInt64()`.
# Efficiency tips
* Vectors generally are a lot more efficient than maps, so prefer them over maps
when possible for small objects. Instead of a map with keys `x`, `y` and `z`,
use a vector. Better yet, use a typed vector. Or even better, use a fixed
size typed vector.
* Maps are backwards compatible with vectors, and can be iterated as such.
You can iterate either just the values (`map.Values()`), or in parallel with
the keys vector (`map.Keys()`). If you intend
to access most or all elements, this is faster than looking up each element
by key, since that involves a binary search of the key vector.
* When possible, don't mix values that require a big bit width (such as double)
in a large vector of smaller values, since all elements will take on this
width. Use `IndirectDouble` when this is a possibility. Note that
integers automatically use the smallest width possible, i.e. if you ask
to serialize an int64_t whose value is actually small, you will use less
bits. Doubles are represented as floats whenever possible losslessly, but
this is only possible for few values.
Since nested vectors/maps are stored over offsets, they typically don't
affect the vector width.
* To store large arrays of byte data, use a blob. If you'd use a typed
vector, the bit width of the size field may make it use more space than
expected, and may not be compatible with `memcpy`.
Similarly, large arrays of (u)int16_t may be better off stored as a
binary blob if their size could exceed 64k elements.
Construction and use are otherwise similar to strings.

View File

@@ -1,26 +0,0 @@
Go API
======
\addtogroup flatbuffers_go_api
<!-- Note: The `GoApi_generate.txt` code snippet was generated using `godoc` and
customized for use with this markdown file. To regenerate the file, use the
`godoc` tool (http://godoc.org) with the files in the `flatbuffers/go`
folder.
You may need to ensure that copies of the files exist in the `src/`
subfolder at the path set by the `$GOROOT` environment variable. You can
either move the files to `$GOROOT/src/flatbuffers` manually, if `$GOROOT`
is already set, otherwise you will need to manually set the `$GOROOT`
variable to a path and create `src/flatbuffers` subfolders at that path.
Then copy the flatbuffers files into `$GOROOT/src/flatbuffers`. (Some
versions of `godoc` include a `-path` flag. This could be used instead, if
available).
Once the files exist at the `$GOROOT/src/flatbuffers` location, you can
regenerate this doc using the following command:
`godoc flatbuffers > GoApi_generated.txt`.
After the documentation is generated, you will have to manually remove any
non-user facing documentation from this file. -->
\snippet GoApi_generated.txt Go API

View File

@@ -1,125 +0,0 @@
// This file was generated using `godoc` and customized for use with the
// API Reference documentation. To recreate this file, use the `godoc` tool
// (http://godoc.org) with the files in the `flatbuffers/go` folder.
//
// Note: You may need to ensure that copies of the files exist in the
// `src/` subfolder at the path set by the `$GOROOT` environment variable.
// You can either move the files to `$GOROOT/src/flatbuffers` manually, if
// `$GOROOT` is already set, otherwise you will need to manually set the
// `$GOROOT` variable to a path and create `src/flatbuffers` subfolders at that
// path. Then copy these files into `$GOROOT/src/flatbuffers`. (Some versions of
// `godoc` include a `-path` flag. This could be used instead, if available).
//
// Once the files exist at the `$GOROOT/src/flatbuffers` location, you can
// regenerate this doc using the following command:
// `godoc flatbuffers > GoApi_generated.txt`.
//
// After the documentation is generated, you will have to manually remove any
// non-user facing documentation from this file.
/// [Go API]
PACKAGE DOCUMENTATION
package flatbuffers
Package flatbuffers provides facilities to read and write flatbuffers
objects.
TYPES
type Builder struct {
// `Bytes` gives raw access to the buffer. Most users will want to use
// FinishedBytes() instead.
Bytes []byte
}
Builder is a state machine for creating FlatBuffer objects. Use a
Builder to construct object(s) starting from leaf nodes.
A Builder constructs byte buffers in a last-first manner for simplicity
and performance.
FUNCTIONS
func NewBuilder(initialSize int) *Builder
NewBuilder initializes a Builder of size `initial_size`. The internal
buffer is grown as needed.
func (b *Builder) CreateByteString(s []byte) UOffsetT
CreateByteString writes a byte slice as a string (null-terminated).
func (b *Builder) CreateByteVector(v []byte) UOffsetT
CreateByteVector writes a ubyte vector
func (b *Builder) CreateString(s string) UOffsetT
CreateString writes a null-terminated string as a vector.
func (b *Builder) EndVector(vectorNumElems int) UOffsetT
EndVector writes data necessary to finish vector construction.
func (b *Builder) Finish(rootTable UOffsetT)
Finish finalizes a buffer, pointing to the given `rootTable`.
func (b *Builder) FinishedBytes() []byte
FinishedBytes returns a pointer to the written data in the byte buffer.
Panics if the builder is not in a finished state (which is caused by
calling `Finish()`).
func (b *Builder) Head() UOffsetT
Head gives the start of useful data in the underlying byte buffer. Note:
unlike other functions, this value is interpreted as from the left.
func (b *Builder) PrependBool(x bool)
PrependBool prepends a bool to the Builder buffer. Aligns and checks for
space.
func (b *Builder) PrependByte(x byte)
PrependByte prepends a byte to the Builder buffer. Aligns and checks for
space.
func (b *Builder) PrependFloat32(x float32)
PrependFloat32 prepends a float32 to the Builder buffer. Aligns and
checks for space.
func (b *Builder) PrependFloat64(x float64)
PrependFloat64 prepends a float64 to the Builder buffer. Aligns and
checks for space.
func (b *Builder) PrependInt16(x int16)
PrependInt16 prepends a int16 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependInt32(x int32)
PrependInt32 prepends a int32 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependInt64(x int64)
PrependInt64 prepends a int64 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependInt8(x int8)
PrependInt8 prepends a int8 to the Builder buffer. Aligns and checks for
space.
func (b *Builder) PrependUOffsetT(off UOffsetT)
PrependUOffsetT prepends an UOffsetT, relative to where it will be
written.
func (b *Builder) PrependUint16(x uint16)
PrependUint16 prepends a uint16 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependUint32(x uint32)
PrependUint32 prepends a uint32 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependUint64(x uint64)
PrependUint64 prepends a uint64 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) PrependUint8(x uint8)
PrependUint8 prepends a uint8 to the Builder buffer. Aligns and checks
for space.
func (b *Builder) Reset()
Reset truncates the underlying Builder buffer, facilitating alloc-free
reuse of a Builder. It also resets bookkeeping data.
/// [Go API]

View File

@@ -1,99 +0,0 @@
Use in Go {#flatbuffers_guide_use_go}
=========
## Before you get started
Before diving into the FlatBuffers usage in Go, it should be noted that
the [Tutorial](@ref flatbuffers_guide_tutorial) page has a complete guide
to general FlatBuffers usage in all of the supported languages (including Go).
This page is designed to cover the nuances of FlatBuffers usage, specific to
Go.
You should also have read the [Building](@ref flatbuffers_guide_building)
documentation to build `flatc` and should be familiar with
[Using the schema compiler](@ref flatbuffers_guide_using_schema_compiler) and
[Writing a schema](@ref flatbuffers_guide_writing_schema).
## FlatBuffers Go library code location
The code for the FlatBuffers Go library can be found at
`flatbuffers/go`. You can browse the library code on the [FlatBuffers
GitHub page](https://github.com/google/flatbuffers/tree/master/go).
## Testing the FlatBuffers Go library
The code to test the Go library can be found at `flatbuffers/tests`.
The test code itself is located in [go_test.go](https://github.com/google/
flatbuffers/blob/master/tests/go_test.go).
To run the tests, use the [GoTest.sh](https://github.com/google/flatbuffers/
blob/master/tests/GoTest.sh) shell script.
*Note: The shell script requires [Go](https://golang.org/doc/install) to
be installed.*
## Using the FlatBuffers Go library
*Note: See [Tutorial](@ref flatbuffers_guide_tutorial) for a more in-depth
example of how to use FlatBuffers in Go.*
FlatBuffers supports reading and writing binary FlatBuffers in Go.
To use FlatBuffers in your own code, first generate Go classes from your
schema with the `--go` option to `flatc`. Then you can include both FlatBuffers
and the generated code to read or write a FlatBuffer.
For example, here is how you would read a FlatBuffer binary file in Go: First,
include the library and generated code. Then read a FlatBuffer binary file into
a `[]byte`, which you pass to the `GetRootAsMonster` function:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.go}
import (
example "MyGame/Example"
flatbuffers "github.com/google/flatbuffers/go"
io/ioutil
)
buf, err := ioutil.ReadFile("monster.dat")
// handle err
monster := example.GetRootAsMonster(buf, 0)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Now you can access values like this:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.go}
hp := monster.Hp()
pos := monster.Pos(nil)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In some cases it's necessary to modify values in an existing FlatBuffer in place (without creating a copy). For this reason, scalar fields of a Flatbuffer table or struct can be mutated.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~{.go}
monster := example.GetRootAsMonster(buf, 0)
// Set table field.
if ok := monster.MutateHp(10); !ok {
panic("failed to mutate Hp")
}
// Set struct field.
monster.Pos().MutateZ(4)
// This mutation will fail because the mana field is not available in
// the buffer. It should be set when creating the buffer.
if ok := monster.MutateMana(20); !ok {
panic("failed to mutate Hp")
}
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The term `mutate` is used instead of `set` to indicate that this is a special use case. All mutate functions return a boolean value which is false if the field we're trying to mutate is not available in the buffer.
## Text Parsing
There currently is no support for parsing text (Schema's and JSON) directly
from Go, though you could use the C++ parser through cgo. Please see the
C++ documentation for more on text parsing.
<br>

View File

@@ -1,17 +1,9 @@
Grammar of the schema language {#flatbuffers_grammar}
==============================
# Formal Grammar of the schema language
schema = include*
( namespace\_decl | type\_decl | enum\_decl | root\_decl |
file_extension_decl | file_identifier_decl |
attribute\_decl | object )*
include = `include` string\_constant `;`
schema = namespace\_decl | type\_decl | enum\_decl | root\_decl | object
namespace\_decl = `namespace` ident ( `.` ident )* `;`
attribute\_decl = `attribute` string\_constant `;`
type\_decl = ( `table` | `struct` ) ident metadata `{` field\_decl+ `}`
enum\_decl = ( `enum` | `union` ) ident [ `:` type ] metadata `{` commasep(
@@ -19,7 +11,7 @@ enumval\_decl ) `}`
root\_decl = `root_type` ident `;`
field\_decl = ident `:` type [ `=` scalar ] metadata `;`
field\_decl = type `:` ident [ `=` scalar ] metadata `;`
type = `bool` | `byte` | `ubyte` | `short` | `ushort` | `int` | `uint` |
`float` | `long` | `ulong` | `double`
@@ -27,22 +19,12 @@ type = `bool` | `byte` | `ubyte` | `short` | `ushort` | `int` | `uint` |
enumval\_decl = ident [ `=` integer\_constant ]
metadata = [ `(` commasep( ident [ `:` single\_value ] ) `)` ]
metadata = [ `(` commasep( ident [ `:` scalar ] ) `)` ]
scalar = integer\_constant | float\_constant
scalar = integer\_constant | float\_constant | `true` | `false`
object = { commasep( ident `:` value ) }
single\_value = scalar | string\_constant
value = single\_value | object | `[` commasep( value ) `]`
value = scalar | object | string\_constant | `[` commasep( value ) `]`
commasep(x) = [ x ( `,` x )\* ]
file_extension_decl = `file_extension` string\_constant `;`
file_identifier_decl = `file_identifier` string\_constant `;`
integer\_constant = -?[0-9]+ | `true` | `false`
float\_constant = -?[0-9]+.[0-9]+((e|E)(+|-)?[0-9]+)?

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