smaz
FlatBuffers
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smaz | FlatBuffers | |
---|---|---|
3 | 48 | |
1,131 | 22,048 | |
- | 0.9% | |
0.0 | 8.7 | |
over 4 years ago | 2 days ago | |
C | C++ | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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smaz
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Advanced MessagePack capabilities
Choose the data compression algorithm based on the specifics of your data. For example, if you are working with lots of short strings, take a look at [*SMAZ](https://github.com/antirez/smaz).*
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Improving short string compression.
Take a look at this. Idea behind it seems nice, but it's fixed dictionary ("codebook") was clearly made for English language, and the algorithm itself is really simple. How can we impove on this? Dynamic dictionary won't do, since you have to store it somewhere, nullifying benefits of using such algorithm. Beyond that I have no idea.
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C Deep
smaz - Efficient string compression library. BSD-3-Clause
FlatBuffers
- FlatBuffers – an efficient cross platform serialization library for many langs
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Cap'n Proto 1.0
I don't work at Cloudflare but follow their work and occasionally work on performance sensitive projects.
If I had to guess, they looked at the landscape a bit like I do and regarded Cap'n Proto, flatbuffers, SBE, etc. as being in one category apart from other data formats like Avro, protobuf, and the like.
So once you're committed to record'ish shaped (rather than columnar like Parquet) data that has an upfront parse time of zero (nominally, there could be marshalling if you transmogrify the field values on read), the list gets pretty short.
https://capnproto.org/news/2014-06-17-capnproto-flatbuffers-... goes into some of the trade-offs here.
Cap'n Proto was originally made for https://sandstorm.io/. That work (which Kenton has presumably done at Cloudflare since he's been employed there) eventually turned into Cloudflare workers.
Another consideration: https://github.com/google/flatbuffers/issues/2#issuecomment-...
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Anyone has experience with reverse engineering flatbuffers?
Much more in the discussion of this particular issue onGitHub: flatbuffers:Reverse engineering #4258
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Flatty - flat message buffers with direct mapping to Rust types without packing/unpacking
Related but not Rust-specific: FlatBuffers, Cap'n Proto.
- flatbuffers - FlatBuffers: Memory Efficient Serialization Library
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How do AAA studios make update-compatible save systems?
If json files are a concern because of space, you can always look into something like protobuffers or flatbuffers. But whatever you use, you should try to find a solution where you don't have to think about the actual serialization/deserialization of your objects, and can just concentrate on the data.
- QuickBuffers 1.1 released
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Choosing a protocol for communication between multiple microcontrollers
Or, as an alternative to protobuffers, there's also flatbuffers, which is lighter weight and needs less memory: https://google.github.io/flatbuffers/
- FlatBuffers: FlatBuffers
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Is using Flatbuffers to parse sensor data a bad application of Flatbuffers?
As the title suggests, I am considering using Flatbuffers as a way to parse sensor data that has been stored in local datafiles. The project language is python.
What are some alternatives?
LZMAT - git mirror of LZMAT (http://www.matcode.com/lzmat.htm)
Protobuf - Protocol Buffers - Google's data interchange format
Snappy - A fast compressor/decompressor
MessagePack - MessagePack implementation for C and C++ / msgpack.org[C/C++]
doboz
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
zstd - Zstandard - Fast real-time compression algorithm
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
ZLib - A massively spiffy yet delicately unobtrusive compression library.
cereal - A C++11 library for serialization
LZHAM - Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++
Kryo - Java binary serialization and cloning: fast, efficient, automatic