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Update performance.md

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Daniel Lemire 2021-03-16 17:52:59 -04:00 committed by GitHub
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@ -5,6 +5,7 @@ simdjson strives to be at its fastest *without tuning*, and generally achieves t
are still some scenarios where tuning can enhance performance. are still some scenarios where tuning can enhance performance.
* [Reusing the parser for maximum efficiency](#reusing-the-parser-for-maximum-efficiency) * [Reusing the parser for maximum efficiency](#reusing-the-parser-for-maximum-efficiency)
* [Reusing string buffers](#reusing-string-buffers)
* [Server Loops: Long-Running Processes and Memory Capacity](#server-loops-long-running-processes-and-memory-capacity) * [Server Loops: Long-Running Processes and Memory Capacity](#server-loops-long-running-processes-and-memory-capacity)
* [Large files and huge page support](#large-files-and-huge-page-support) * [Large files and huge page support](#large-files-and-huge-page-support)
* [Number parsing](#number-parsing) * [Number parsing](#number-parsing)
@ -38,6 +39,16 @@ for(int64_t i : doc.get_array()) {
``` ```
Reusing string buffers
-----------------------------------------
We recommend against creating many `std::string` or `simdjson::padded_string` instances to store the JSON content in your application. [Creating many non-trivial objects is convenient but often surprisingly slow](https://lemire.me/blog/2020/08/08/performance-tip-constructing-many-non-trivial-objects-is-slow/). Instead, as much as possible, you should allocate (once or a few times) reusable memory buffers where you write your JSON content. If you have a buffer `json_str` (of type `char*`) allocated for `capacity` bytes and you store a JSON document spanning `length` bytes, you can pass it to simdjson as follows:
```c++
auto doc = parser.iterate(padded_string_view(json_str, length, capacity));
```
Large files and huge page support Large files and huge page support
--------------------------------- ---------------------------------