小程序批量删除的操作方式与技巧
1880
2022-11-04
Cista++ 是一个开源的简单C++序列化/反序列化库
Simple C++ Serialization & Reflection.
Cista++ is a simple, open source (MIT license) C++17 compatible way of (de-)serializing C++ data structures.
Single header - no dependencies. No macros. No source code generation.
Raw performance - use your native structs. Supports modification/resizing of deserialized data!Supports complex and cyclic data structures including cyclic references, recursive data structures, etc.Save 50% memory: serialize directly to the filesystem if needed, no intermediate buffer required.Fuzzing-checked though continuous fuzzing using LLVMs LibFuzzer.Comes with a serializable high-performance hash map and hash set implementation based on Google's Swiss Table.Reduce boilerplate code: automatic derivation of hash and equality functions.Built-in optional automatic data structure versioning through recursive type hashing.Optional check sum to prevent deserialization of corrupt data.Compatible with Clang, GCC, and MSVC
The underlying reflection mechanism can be used in other ways, too!
Examples:
Download the latest release and try it out.
Simple example writing to a buffer:
namespace data = cista::raw;struct my_struct { // Define your struct. int a_{0}; struct inner { data::string b_; } j;};std::vector
Advanced example writing a hash map to a memory mapped file:
namespace data = cista::offset;constexpr auto const MODE = // opt. versioning + check sum cista::mode::WITH_VERSION | cista::mode::WITH_INTEGRITY;struct pos { int x, y; };using pos_map = // Automatic deduction of hash & equality data::hash_map
Benchmarks
Have a look at the benchmark repository for more details.
Library | Serialize | Deserialize | Fast Deserialize | Traverse | Deserialize & Traverse | Size |
---|---|---|---|---|---|---|
Cap’n Proto | 105 ms | 0.002 ms | 0.0 ms | 356 ms | 353 ms | 50.5M |
cereal | 239 ms | 197.000 ms | - | 125 ms | 322 ms | 37.8M |
Cista++ offset | 72 ms | 0.053 ms | 0.0 ms | 132 ms | 132 ms | 25.3M |
Cista++ raw | 3555 ms | 68.900 ms | 21.5 ms | 112 ms | 133 ms | 176.4M |
Flatbuffers | 2349 ms | 15.400 ms | 0.0 ms | 136 ms | 133 ms | 378.0M |
Use Cases
Reader and writer should have the same pointer width. Loading data on systems with a different byte order (endianess) is supported. Examples:
Asset loading for all kinds of applications (i.e. game assets, GIS data, large graphs, etc.)Transferring data over networkshared memory applications
Currently, only C++17 software can read/write data. But it should be possible to generate accessors for other programming languages, too.
Alternatives
If you need to be compatible with other programming languages or require protocol evolution (downward compatibility) you should look for another solution:
Protocol BuffersCap’n ProtoFlatbufferscerealBoost SerializationMessagePack... many more
Documentation
Installation and UsageSerialization ReferenceCustom (De-)Serialization FunctionsData Structure VersioningHash ContainersHashing FrameworkEquality FrameworkBenchmark Security
Contribute
Feel free to contribute (bug reports, pull requests, etc.)!
版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。
发表评论
暂时没有评论,来抢沙发吧~