But then how can we create multiple
Can't I just keep creating
Person without using vector?Can't I just keep creating
Person and keep appending to the file?
Maybe I am not able to explain my use case properly.
What I understood is, we can only use
In my code I am not getting any errors because
Finish once.In my code I am not getting any errors because
asserts are off.
please read what I typed above again
and turn asserts on
cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=DEBUG
Building like this will turn on asserts?
Now I am clearing the buffer using
builder.Clear() and reusing it.
Although I need to explore more to understand things better, I am off to a good start. I might even try contributing to the project.
guys, i need to use flatbuffer with grpc , when i use flatc --grpc --cpp ./greeter.fbs in /grpc/samples/greeters, only 3 files added, greeter_generated.grpc.fb.cc greeter_generated.grpc.fb.h greeter_generated.h, and file greeter.grpc.fb.h not found which is used in server.cpp . any one can help ?
for now you may have to rename them manually to make it build, or fix the code/Makefile
I like the FlatBuffers IDL and want to use it with a custom wire format. I figured, using the intermediate representation is a good start. Is there a way to use some code generation infrastructure from
flatc for this use case, maybe by writing a plugin for it?
@kai:nasnotfound.de you're in luck,
flatc is able to write out a binary version of a parsed schema.. using FlatBuffers itself! This data is perfect for writing external code generators. You can easily read this data in any language that FlatBuffers already supports. The option is --bfbs I believe, and the schema for the data is in reflection/ .. see also some github issues where we talk more about using this for external code generators @dbaileychess
@bodie I'm the author of flatcc, the C implementation of FlatBuffers. This tool generates code for schema specific JSON parsers, and are rather fast compared to most JSON parser, and faster than flatc's JSON parser that dynamically looks up in the schema, but does not require code generation and compilation. I have not made a direct comparison to simdjson, and I am not sure if I recall correctly, but if it is based on technology covered in the blog by Daniel Lemire, then this is legit very fast. There are some tradeoffs where a schema can make things faster than a normal JSON parser, but also some SIMD techniques that are not feasible in a parser like flatcc JSON where it must build a valid buffer and do certain validation checks. There are some benchmark numbers based on a now rather old 2014 core i7 macbook pro 2.2Ghz machine on the flatcc site. Also, I'm not sure how simd parsing works with things now running more on more on ARM, although it should be possible to also do interesting stuff on that platform.
serialized data compatibility however is backwards and forwards compatible with all versions of FlatBuffers, ever
I'm trying to generate the cpp headers from the sample monster.fbs. But, flatc appears to be unhappy.
$ flatc -c ./monster.fbs
/snap/flatbuffers/1575/bin/flatc: error: unable to load file: ./monster.fbsWonder what went wrong here and if anyone has any insight.
My flatc version:
$ flatc --version
flatc version 2.0.0
Got it resolved. Turns out apparmor was blocking access to the fbs file.
[463739.735595] audit: type=1400 audit(1670075554.123:456): apparmor="DENIED" operation="open" profile="snap.flatbuffers.flatc" name="<snipped>/monster.fbs" pid=3149615 comm="flatc" requested_mask="r" denied_mask="r" fsuid=1000 ouid=1000