- Allow user to specify SIMDJSON_BUILTIN_IMPLEMENTATION
- Make cmake -DSIMDJSON_IMPLEMENTATION=haswell *only* specify haswell
- Move negative implementation selection to
-DSIMDJSON_EXCLUDE_IMPLEMENTATION
- Automatically select SIMDJSON_BUILTIN_IMPLEMENTATION if
SIMDJSON_IMPLEMENTATION is set
- Move implementation enablement mostly to implementation files
- Make implementation enablement and selection simpler and more robust
- Fix bug where programs linked against simdjson were not passed
SIMDJSON_XXX_IMPLEMENTATION or SIMDJSON_EXCEPTIONS
* Make it possible to check that an implementation is supported at runtime.
* add CI fuzzing on arm 64 bit
This adds fuzzing on drone.io arm64
For some reason, leak detection had to be disabled. If it is enabled, the fuzzer falsely reports a crash at the end of fuzzing.
Closes: #1188
* Guarding the implementation accesses.
* Better doc.
* Updating cxxopts.
* Make it possible to check that an implementation is supported at runtime.
* Guarding the implementation accesses.
* Better doc.
* Updating cxxopts.
* We need to accomodate cxxopts
Co-authored-by: Paul Dreik <github@pauldreik.se>
* Adding new files.
* Better.
* Fixing minifier and adding tests.
* Adding benchmarks.
* Including the array header.
* Replacing old stream-based code by the new code.
* Doubling up the itoa.
* Hidden away to_chars in internal namespace.
* Removing the repetitions.
* Documented the atoi functions.
* Tuning the escape sequences.
* Moving the operators off the main namespace.
* Added more tests.
* Tweaking the implementation so that it works with and without exp.
* The string_builder template and mini_formatter class
are not part of our public API and are subject to change
at any time!
* Adding a benchmark and some optimization.
* Cleaning.
* Strictly speaking, this header is needed.
* This would disable bash scripts under FreeBSD.
* Let us also disable GIT.
* Let us try to just disable GIT
* Nope. We must have both bash and git disabled.
In the parse_many function, we have one thread doing the stage 1, while the main thread does stage 2. So if stage 1 and stage 2 take half the time, the parse_many could run at twice the speed. It is unlikely to do so. Still, we see benefits of about 40% due to threading.
To achieve this interleaving, we load the data in batches (blocks) of some size. In the current code (master), we create a new thread for each batch. Thread creation is expensive so our approach only works over sizeable batches. This PR improves things and makes parse_many faster when using small batches.
This fixes our parse_stream benchmark which is just busted.
This replaces the one-thread per batch routine by a worker object that reuses the same thread. In benchmarks, this allows us to get the same maximal speed, but with smaller processing blocks. It does not help much with larger blocks because the cost of the thread create gets amortized efficiently.
This PR makes parse_many beneficial over small datasets. It also makes us less dependent on the thread creation time.
Unfortunately, it is going to be difficult to say anything definitive in general. The cost of creating a thread varies widely depending on the OS. On some systems, it might be cheap, in others very expensive. It should be expected that the new code will depend less drastically on the performances of the underlying system, since we create juste one thread.
Co-authored-by: John Keiser <john@johnkeiser.com>
Co-authored-by: Daniel Lemire <lemire@gmai.com>
Although it passes user-defined options, if the project is build in Debug mode or with Clang (since
CXX defaults to gcc on Linux) results can flactuate
* This will change the default of the parse benchmark so that it work over hot buffers
by default, thus omitting memory allocation as part of the benchmark.
* Everyone should be using '-H' from now on.