simdjson | Parsing gigabytes of JSON per second
kandi X-RAY | simdjson Summary
kandi X-RAY | simdjson Summary
JSON is everywhere on the Internet. Servers spend a lot of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. This library is part of the [Awesome Modern C++] list.
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Trending Discussions on simdjson
QUESTION
When I vcpkg install simdjson
, it returns :
ANSWER
Answered 2021-Mar-01 at 09:01Unfortunately, redis-plus-plus doesn't supply CMake config files. Someone should open an issue with upstream. It's honestly pretty unacceptable to not support find_package
for your library. Thus, thanks to the authors' negligence, you will have to create an imported target for their library yourself. Here's an example CMakeLists.txt, step by step. We'll start with the standard boilerplate:
QUESTION
I am developing an IOT application that requires me to handle many small unstructured messages (meaning that their fields can change over time - some can appear and others can disappear). These messages typically have between 2 and 15 fields, whose values belong to basic data types (ints/longs, strings, booleans). These messages fit very well within the JSON data format (or msgpack).
It is critical that the messages get processed in their order of arrival (understand: they need to be processed by a single thread - there is no way to parallelize this part). I have my own logic for handling these messages in realtime (the throughput is relatively small, a few hundred thousand messages per second at most), but there is an increasing need for the engine to be able to simulate/replay previous periods by replaying a history of messages. Though it wasn't initially written for that purpose, my event processing engine (written in Go) could very well handle dozens (maybe in the low hundreds) of millions of messages per second if I was able to feed it with historical data at a sufficient speed.
This is exactly the problem. I have been storing many (hundreds of billions) of these messages over a long period of time (several years), for now in delimited msgpack format (https://github.com/msgpack/msgpack-python#streaming-unpacking). In this setting and others (see below), I was able to benchmark peak parsing speeds of ~2M messages/second (on a 2019 Macbook Pro, parsing only), which is far from saturating disk IO.
Even without talking about IO, doing the following:
...ANSWER
Answered 2020-May-09 at 01:30I assume that messages only contain few named attributes of basic types (defined at runtime) and that these basic types are for example strings, integers and floating-point numbers.
For the implementation to be fast, it is better to:
- avoid text parsing (slow because sequential and full of conditionals);
- avoid checking if messages are ill-formed (not needed here as they should all be well-formed);
- avoid allocations as much as possible;
- work on message chunks.
Thus, we first need to design a simple and fast binary message protocol:
A binary message contains the number of its attributes (encoded on 1 byte) followed by the list of attributes. Each attribute contains a string prefixed by its size (encoded on 1 byte) followed by the type of the attribute (the index of the type in the std::variant, encoded on 1 byte) as well as the attribute value (a size-prefixed string, a 64-bit integer or a 64-bit floating-point number).
Each encoded message is a stream of bytes that can fit in a large buffer (allocated once and reused for multiple incoming messages).
Here is a code to decode a message from a raw binary buffer:
QUESTION
While browsing github I stumbled on "really_inline" keyword and I was wondering what is it exactly?
Obviously, if it lives by its name, it makes 100% sure to embed the function and remove the caller/callee in the assembly output, but I want to know if it is specific to any compiler or else and how is this done.
...ANSWER
Answered 2020-Apr-29 at 06:29in this case it's a macro -- simdjson defines it conditionally on whether it is msvc:
here (msvc):
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Install simdjson
Prerequisites: g` (version 7 or better) or `clang (version 6 or better), and a 64-bit system with a command-line shell (e.g., Linux, macOS, freeBSD). We also support programming environments like Visual Studio and Xcode, but different steps are needed.
Pull [simdjson.h](singleheader/simdjson.h) and [simdjson.cpp](singleheader/simdjson.cpp) into a directory, along with the sample file [twitter.json](jsonexamples/twitter.json). ``` wget https://raw.githubusercontent.com/simdjson/simdjson/master/singleheader/simdjson.h https://raw.githubusercontent.com/simdjson/simdjson/master/singleheader/simdjson.cpp https://raw.githubusercontent.com/simdjson/simdjson/master/jsonexamples/twitter.json ``` 2. Create `quickstart.cpp`:
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