* docs: add the blog post "How 3.13.0 got faster" A post for the documentation (Home > Blog) on how 3.13.0 became faster: eight themes with the pull requests behind them, the ideas taken from other libraries, what did not work, how the fast paths are tested, and the compile-time cost. Every number comes from a run on 2026-10-27 (3.12.0 against develop plus the open non-draft PRs, Apple M1 Max) or from the linked PR. - docs/mkdocs/docs/home/blog/how_3_13_0_got_faster.md: the post. - docs/mkdocs/scripts/figures/perf_blog.py: draws its 12 figures (overview, eight timeline panels, the SWAR test, the cliffs, json_view throughput) as inline SVGs in the nj-charts style; data/perf_timeline.csv holds the timeline. - tests/benchmarks/history: history.cpp and history.py time one fixed program against the header of every commit that changed it, interleaved, and write one CSV row per commit with its PR. The timeline of the post comes from it. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: compare json_document with Glaze, sonic, RapidJSON and Rust parsers Extends the comparison in "How 3.13.0 got faster" from yyjson, simdjson and Boost.JSON to eleven engines: sonic-cpp, RapidJSON and Glaze (generic DOM, lazy_json, reading into structs) in C++, sonic-rs, simd-json and serde_json in Rust. Measured on an Apple M1 Max (Apple clang 21, Rust 1.99) and an x86-64 Haswell server (GCC 13, Clang 18). Every engine must return the same values, string bytes and bit-identical number sums before it is timed. The post now answers whether json_document is the fastest parser: it is the fastest document parser at parse+dump everywhere and at parsing on Apple silicon, ties with simdjson's DOM on x86-64, and loses to simdjson On-Demand and Glaze structs when only a few fields are read. tests/benchmarks/json_view/others holds the programs (bench_all.cpp, the Rust crate with its Cargo.lock), summarize.py and the pinned versions and checksums. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: captions, test-file table and figure fixes for the 3.13.0 post - caption every table and figure - describe what makes twitter.json, citm_catalog.json, canada.json and jeopardy.json hard, and what each timeline panel exercises - split the json_view layout figure into the tree and the index, with the example text above; fix the arrows into the string boxes - arrows and a "less is better" axis label in the cliffs figure - name nlohmann/json in the comparison tables and chart - licenses of the adapted code in the thanks section Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: byline and licenses for the 3.13.0 post - author and date below the title, styled as .nj-byline; its link gets no external-link icon - the license of every library in the thanks section, checked against each project's license files; credit sonic-rs for QUOTE_TAB, which orjson adapted from it Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: dump comparison and split acknowledgments in the 3.13.0 post - a dump workload in bench_all and bench_rs: each engine writes a document parsed beforehand, and every output must read back with bit-identical numbers; an optional argument selects one workload - the post's comparison gains a write table, a throughput chart, a dump row for all three configurations, and the x86-64 cases it loses - the thanks section is split into adapted code and borrowed ideas Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: x86-64 dump numbers with #5908's branch-free token digits The dump of canada.json with GCC on x86-64 lost to yyjson by 0.78 because GCC compiled #5908's token-digit selections as branches;9fad526888fixed that. The post's x86-64 dump and parse+dump rows of canada.json are now measured with it (GCC 0.95, Clang 0.91 against yyjson), theme 5 tells the story, and "How we measured" says which rows include the commit. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * Compare JSON libraries by use case in the json_view harness bench_all and bench_rs now time use cases (validate, sum, select, edit, minify, write) instead of library functions. Every library may solve a use case in every way it offers; each variant's result is checked, and three malformed inputs give its validation level (full, no UTF-8, partial). summarize.py reports each library's fastest fully validating variant and a faster one at a lower level, as text and as JSON. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: restructure the 3.13.0 post around themes and use cases - deeper technical detail and code in the eight themes; pull request numbers move to the appendix, timeline steps are labelled by theme - comparison with other libraries by use case, as heatmaps per platform, with validation levels and the caveats next to the results - appendix: test files, all 182 suite rows with a histogram, timeline steps, algorithmic fixes, per-file tables, behaviour changes, setup, pull requests by theme Signed-off-by: Niels Lohmann <mail@nlohmann.me> * Measure each library's fastest modes in the json_view harness Address the points of a review from the other libraries' side: - simdjson 5.0.8 (On-Demand structs, key selectors) and Glaze 9.1.0 - number-skipping modes: yyjson and RapidJSON raw numbers, Boost.JSON number_precision::none - reused parsers and allocators for yyjson, RapidJSON and Boost.JSON - Boost.JSON parse_into, Glaze generic with double numbers, and the same struct types for nlohmann, Glaze, simdjson and serde - minified copies of twitter.json and citm_catalog.json - a fourth probe (trailing garbage) and Glaze "(strict)" variants - a new random variant order in every round, as a variant's time could depend on the one before it by up to 15 % on the Mac - --files for other test files and --conformance for JSONTestSuite, with conformance-rs.sh for the Rust program summarize.py also reports each library's best reused variant. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: rerun the library comparison of the 3.13.0 post with fairer rules The figures and Appendix E use the reruns with each library's fastest modes. Skipping number conversion while reading is now allowed for every library; copying number text is still not chosen when writing. The text now says who set the rules, where libraries that check less win select, how minified files change the picture, and that the reused jeopardy.json claim holds with every library reused. A new section covers 19 held-out files and JSONTestSuite, including where json_document loses, and lists what was not measured. Every comparison number was recomputed; Glaze is credited in the intro. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: measure the 3.13.0 post against develop with #5964 and #5908 The suite (Appendix B, the short-version table, the overview and distribution figures) and the timeline endpoint now measure developd20c4dcd89with #5964 and #5908 merged. The geometric mean stays 2.9x (2.95); Dump/signed_ints and Dump/unsigned_ints gain 1.5x and 2.1x from #5964; GetVectorDouble/floats drops from 10.3x to 7.0x because the old candidate's suite binary happened to compile that loop faster (a standalone build takes 0.97 ms with both headers). The timeline endpoint is the 10-27 value scaled by the ratio of the new to the old candidate, both measured on 10-30, so that it stays comparable with the other points of the timeline. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: add three figures to the 3.13.0 post - short strings: two overlapping 16-byte loads and stores - eight digits at a time: the three multiplications, lane by lane - validate on the 19 held-out files, per file, Mac and x86-64 The prose the figures replace is trimmed. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: measure the 3.13.0 post against develop with all open pull requests The baseline is now develop9c349b1d7cwith every open non-draft pull request merged, including #5968, #5970, #5971, #5975, #5976, #5978, #5979, #5980, #5981 and #5982. The suite was rerun on 11-01 with every step repeated when the load rose above 5 while it ran; the comparison with other libraries and the held-out files were rerun on 10-31. - suite: 3.0x geometric mean (median 2.9x); Appendix B, the overview and the distribution regenerated - timeline endpoint, Appendix D and the cliffs figure updated - the held-out figure compares json_document with the fastest other library - new paragraphs for the pull requests listed above Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: measure the 3.13.0 post against develop with the open pull requests of 11-02 Suite, timeline endpoint, Appendix D and the scalar-run numbers now come from developb2674a4a2fwith #5990, #5991, #5992, #5996, #5997, #5998, #5999 and #6000 merged. The scalar runs are measured against a build without them on develop's code, which no longer checks for a scalar before entering the loop. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: measure the 3.13.0 post against develop with all open pull requests of 11-02 Suite, timeline endpoint, Appendix D and the scalar-run numbers now come from developb2674a4a2fwith #5990-#5992, #5996-#6006 and #6008 merged. With #6008, arrays of one element skip the scalar run, so nested arrays no longer pay for it. The suite ran three rounds per version; the round of 3.12.0 and of 3.13.0 that differed from the other two was dropped, as the setup table says. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: fix the facts the review of the 3.13.0 post found wrong or imprecise Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: re-measure the 3.13.0 post and apply the review Measure everything again against develop with the open pull requests of 11-03 (suite, timeline, comparison on the Mac and on x86-64, compile times, stream gap), add the suite on an Intel MacBook Pro as a check, mark the ways that keep number text as "N" in the use-case charts, move the loop-shape box to theme 5, and apply the style and wording fixes of the review. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: make the comparison of the 3.13.0 post fairer Three reviews of "How it compares" (a maintainer audit of the harness, a methodology review, a reader's red team) led to a full rerun on the Mac and x86-64 with simdjson 5.1.1 and new ways in the harness: - in-place parses with the copy made before the timer ("(copy untimed)", never chosen as a library's best) and json_document::parse_copy(); - RapidJSON through StringStream, and with default precision in validate, which reads no number; - BENCH_ONLY takes several prefixes. The post now gives the copy's real cost (11-14 us for twitter.json on the Mac, not 30), what yyjson gains without it, the run-to-run noise, the LTO check, the single-file losses that were missing, and qualifies the headline claim. Every number in the section and Appendix E is recomputed; the NUL-byte remark moved out of the body. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * Format bench_all.cpp with astyle The amalgamation check runs astyle over tests/ and failed on bench_all.cpp. The variant tables keep one variant per line between *INDENT-OFF* and *INDENT-ON*; astyle formats the rest, and the list of use cases becomes a named array so the loop header stays on one line. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * Print the history benchmark's results with a stream Flawfinder flagged the printf in history.cpp (CWE-134), although its format string is a constant. The stream prints the same text, so history.py reads it as before. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: address review comments on the performance blog post - fix wording: "are new", "for each input source", "the strings", "the last zero to seven bytes", "by" Danila Kutenin, "the result of that query" - introduce `json_document` where it first gets a detail, say that the `-mbranches` flag is not used, explain why the position and token bookkeeping overloads are empty, and say that a step's percentage is relative to the time before the step and that a median of 4 is the mean of the two middle values - write percentages without a space before `%` in the post and in the price figure (regenerated) Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: wrap the prose of the performance blog post at 120 columns Only line breaks change: the rendered page is identical after whitespace normalization. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: blog post: address the second round of review comments Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: blog post: note that Boost.JSON's tree lead comes from its arena The comparison builds Boost.JSON's tree in a monotonic_resource. With its default allocator and precise numbers, boost::json::parse() takes as long as json::parse() on twitter.json, 5% longer on citm_catalog.json and 17% less time on canada.json (M1, C++23 -O3, best of 3 x 30 runs; the arena saves Boost.JSON 28-41%). Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: blog post: comparing already passes the depth; copying measured slower without the counter operator== walks the standard containers itself and passes the depth as an argument (#5840). A copy that does the same, inserting element by element, measured 4-16% slower on an M1 Max with Apple clang, so copying keeps the thread_local counter. Signed-off-by: Niels Lohmann <mail@nlohmann.me> * docs: blog post: name every user of the depth counter and every input the document copies The "Bounded recursion" paragraph said only copying and equality for custom containers use the thread_local counter. Converting from another basic_json specialization and the ordering comparisons use it too; equality for the standard containers passes the depth instead. The "Strings stay in the input" bullet named only parse_copy() and an rvalue std::string as owning inputs. Streams, FILE* and other input that is not one contiguous block of bytes are read into an owned buffer as well. Signed-off-by: Niels Lohmann <mail@nlohmann.me> --------- Signed-off-by: Niels Lohmann <mail@nlohmann.me>
21 KiB
json_document against other JSON libraries
compare.py compares json_document with yyjson, simdjson and Boost.JSON. The programs here add
sonic-cpp, RapidJSON and Glaze in C++, and sonic-rs, simd-json and serde_json in Rust, for the post
How 3.13.0 got faster. They are not
built by CMake or run by CI.
What is measured
The programs compare use cases, not library functions. A library may implement a use case in every reasonable way
(another API, SAX events, in-situ parsing, a struct binding); each such way is a variant, named
<library>: <variant> (yyjson: insitu (copy), RapidJSON: SAX, nlohmann json_document: accept). The report shows
each library's fastest correct variant. nlohmann json (basic_json) and nlohmann json_document (with
json_view) count as two libraries.
| use case | what it does |
|---|---|
validate |
is this text valid JSON? returns a bool |
sum |
visit every value, convert every number, touch every string and key; sum all numbers in document order |
select |
read a few fields of every record (the fields of bench_view.cpp, e.g. id, user.screen_name and retweet_count of every status) |
edit |
change some values of every record and write the document as compact JSON (see below) |
minify |
text in, compact text out |
write |
write a document parsed beforehand as compact JSON; only the writing is timed |
The edits:
| file | edit |
|---|---|
twitter.json |
for every element of statuses: retweet_count + 1, erase entities, add "seen": true |
| status | the same edit on the one status |
citm_catalog.json |
for every element of performances: start + 1, erase seatMapImage, add "seen": true |
canada.json |
features[0].properties.name = "Kanada"; append [0.5,0.25] to the first ring (geometry.coordinates[0]) of every feature |
jeopardy.json |
for every record: value = null, erase air_date, add "seen": true |
The files are twitter.json, citm_catalog.json, canada.json (nativejson-benchmark), jeopardy.json, the first
status of twitter.json (status; written by json::dump(), timed in batches of 200), and twitter_min and
citm_catalog_min: twitter.json and citm_catalog.json with all whitespace outside strings removed, built in memory at
startup by the same small function in both programs (strip_ws; the bytes inside strings are untouched). The minified
files use the select and edit of their originals.
Input contract
The input is a const std::string holding the file, with at least 64 bytes of spare capacity (reserve), so libraries
that need padding (simdjson) can use it without a copy. A variant that modifies the input (in-situ parsing: yyjson
YYJSON_READ_INSITU, RapidJSON ParseInsitu, simd-json) copies it inside the timed call; its name says (copy).
The C++ in-situ variants also run as (copy untimed): the copy is made before the timer starts and freed after it
stops, as for a program that reads a file into a buffer it owns and no longer needs. They are reported but never
chosen as a library's best. json_document's parse_copy is the opposite case: a document that owns a copy of its
text.
Each timed call starts from the text and frees everything it built, except variants named (reused) or
(reused allocator), which keep a parser, document or allocator across calls (simdjson's reused parsers,
json_document::read(), Boost.JSON's reset parser and basic_parser, yyjson's dynamic allocator, RapidJSON's
user-buffer allocators, simd-json's buffers). These are reported but never chosen as a library's best;
summarize.py reports each library's best reused variant separately. In Rust, the input is the file as bytes (&[u8]), so every library
has to validate UTF-8 itself.
Correctness rules
Before timing, every variant runs on the file and must produce the right result:
validate:true.sum: the same number of values, the same number of string and key bytes, and a sum of all numbers that is bit-identical tojson_document's (document order), so every number is converted exactly; variants that visit objects in another order (nlohmann json: parse, simd-json and serde_json values) are compared within 1e-9.select: the same value asjson_document. A variant that does not convert numbers ((raw numbers),(numbers: none)) has to convert the numbers it selects exactly itself.edit,minify,write: the output, read withjson::parse, compares equal (==) to the expected document (foredit, the edit applied to ajsonvalue; floats compare exactly, so every float must be written exactly). In Rust,serde_json::Value(withfloat_roundtrip) is the reference.
A variant that gives a wrong result on a file, or crashes on it, is printed as
excluded: <file> <use case> | <variant> | <reason> and not timed.
Validation levels
Except for write, every variant is also probed with four malformed inputs derived from each file: the file
truncated by one byte (after trailing whitespace), the file followed by ]x (trailing garbage), a stray , before
the first } (before the last ] in a file without objects), and a 0xFF byte inside a string value (the first in
the second half of the file, or the last one; never a key, so that a variant that accepts the byte still finds the
keys it looks up; a file without string values gets no 0xFF probe). The probes run in a child process, so a crash is caught. The result is the
variant's validation level, printed in its cell (sonic-cpp: Document [no UTF-8] 380.1us):
| level | meaning |
|---|---|
full |
rejects all four probes |
no UTF-8 |
rejects the structural probes, accepts the 0xFF byte |
partial |
accepts the truncated input, the trailing garbage or the stray comma, or crashes on any probe |
n/a |
write: there is no input to validate (counts as full) |
What a variant accepts is printed as level: <file> <use case> | <variant> | <level> | <what>. A variant's level in
the summary is the worst it got for any file. UTF-8 validation is enabled where a library has a switch (RapidJSON
kParseValidateEncodingFlag; the (no encoding check) variants leave it off). sonic-cpp 1.0.2 cannot validate
UTF-8 at all; serde_json does not validate UTF-8 in the parts it skips (IgnoredAny, unknown struct fields) unless
the input is checked with std::str::from_utf8 first (the from_utf8 + ... variants).
The sum and select reference values are printed as check ... reference: lines; summarize.py warns if the C++ and
Rust logs disagree.
The four probes do not cover everything a parser can get wrong. --conformance <dir> runs every validate variant
on every file of JSONTestSuite's test_parsing (json_test_data has it as
nst_json_testsuite2/test_parsing) and prints conformance: <file> | <variant> | accepted|rejected|crashed; a y_
file must be accepted, an n_ file rejected, and an i_ file may go either way. bench_all runs each call in a child
process (a call that hangs for 60 s counts as crashed); a stack overflow aborts bench_rs, so conformance-rs.sh
runs it one file per process and, for a file that aborts, one variant per process (CONF_VARIANT). The trailing
garbage probe was added after this check: Glaze reads anything after the value unless validate_trailing_whitespace
is set.
Variants
Level on the Mac in brackets where it is not full (P = partial, U = no UTF-8); every write variant is n/a.
| library | validate | sum | select | edit | minify | write |
|---|---|---|---|---|---|---|
| nlohmann json_document | accept, parse, read (reused) |
parse, parse_copy, read (reused) |
parse, parse_copy, structs (from_json), read (reused) |
editable, editable (source numbers) (json_editable_document: set/erase, dump with number_format::source) |
parse + dump, parse_copy + dump, parse + dump (source numbers), read + dump (reused) |
dump, dump (source numbers) |
| nlohmann json | accept, parse |
parse, sax |
parse, structs (from_json) |
parse, ordered_json |
parse + dump |
dump |
| yyjson | read, insitu (copy), insitu (copy untimed), read (raw numbers), read (reused allocator) |
read, insitu (copy), insitu (copy untimed), read (reused allocator) |
read, insitu (copy), insitu (copy untimed), read (raw numbers), read (reused allocator) |
mut copy, insitu (copy) + mut copy (yyjson_doc_mut_copy), insitu (copy untimed) + mut copy |
read + write, insitu (copy) + write, insitu (copy untimed) + write, read (raw numbers) + write, read + write (reused allocator) |
write |
| simdjson | DOM, DOM (reused) |
DOM, DOM (reused), On-Demand, On-Demand (reused) |
DOM, DOM (reused), On-Demand [P], On-Demand (reused) [P], On-Demand structs [P], On-Demand (key selectors) [P] |
n/a (no mutable document) | DOM + to_string, DOM (reused) + to_string, minify [P] |
to_string |
| RapidJSON | SAX (null handler), Document, insitu (copy), insitu (copy untimed), SAX (string stream), SAX (default precision), SAX (string stream, default precision), SAX (raw numbers), Document (reused allocator) |
Document, SAX, insitu (copy), insitu (copy untimed), SAX (string stream), Document (reused allocator) |
Document, insitu (copy), insitu (copy untimed), Document (string stream), Document (raw numbers), Document (reused allocator) |
Document, insitu (copy), insitu (copy untimed), Document (string stream) |
Document + Writer, SAX to Writer, SAX to Writer (string stream), SAX to Writer (raw numbers), Document + Writer (reused allocator) |
Writer |
RapidJSON, (no encoding check) |
the same [U] | the same [U] | the same [U] | the same [U] | the same [U] | |
| sonic-cpp | Document [U] |
Document [U] |
Document [U] |
Document [U] |
Document + Serialize [U] |
Serialize |
| Glaze | validate_json, generic [P], generic (double) [P], generic (strict), generic (double, strict) |
generic [P], generic (double) [P], generic (strict), generic (double, strict), lazy_json [P], lazy_json (string_view) (x) |
structs [P], structs (validate_skipped), generic [P], generic (double) [P], generic (strict), generic (double, strict), lazy_json [P], lazy_json (string_view) (x) |
generic [P], generic (double) (x), generic (strict), generic (double, strict) (x) |
generic [P], generic (double) (x), generic (strict), generic (double, strict) (x), minify_json [P] |
generic, generic (double) (x), generic (strict), generic (double, strict) (x) |
| Boost.JSON | SAX (basic_parser), parse, SAX (numbers: none), parse (numbers: none), SAX (reused), parser (reused) |
parse, SAX, SAX (reused), parser (reused) |
parse, parse (numbers: none) (x), parser (reused), parse_into structs |
parse |
parse + serialize, parser (reused) + serialize |
serialize |
| serde_json | IgnoredAny [U], from_utf8 + IgnoredAny, Value |
visitor, Value |
structs [U], from_utf8 + structs, Value |
Value |
Value |
Value |
| sonic-rs | IgnoredAny, Value |
visitor, Value |
structs, Value |
Value |
Value |
Value |
| simd-json | tape (copy), borrowed (copy), tape (reused) |
visitor (copy), borrowed (copy), borrowed (reused) |
structs (copy), borrowed (copy) |
owned (copy), borrowed (copy) |
borrowed (copy) |
borrowed |
(x): excluded for a wrong result on some file, and so in the summary for every file: generic (double) loses the
64-bit ids of twitter.json when it writes them; lazy_json (string_view) reads the raw bytes of a string, so escaped
strings have the wrong length (sum, and the " in 19,077 jeopardy.json categories in select);
numbers: none reads every number as 0.
structs read into types that declare only the fields select uses and hold the same data: nlohmann/json's
from_json() of the NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE macro (from a json value or from a json_document's view)
reads into nsel, where the arrays and objects that are only counted (seatCategories, the values of events,
coordinates) are a count_only holding their size. Glaze reads into the same types (reflected; count_only has a
reader that skips and counts the elements; error_on_unknown_keys = false, and with validate_skipped to validate
what it skips), and so does simdjson On-Demand (get<T>() with tag_invoke, fields in document order,
count_elements()/count_fields()). serde derive reads into the same fields with a Count that counts with
IgnoredAny (and a BTreeMap, as std::map). Boost.JSON's parse_into has no type that skips any value, so its
counted members only count what it converts into them: seatCategories into a counting sequence of an empty described
struct, coordinates into three levels of counting sequences down to double, and the events values into an empty
described struct, so their members are not counted. key selectors are simdjson 5.0's object::for_each<"k1", ...>, which walks each object once and matches keys with a compile-time perfect hash. visitor is a serde
DeserializeSeed that sums without building a value; SAX and sax are the libraries' event interfaces with a
summing (or, for validate, an empty) handler. RapidJSON parses with kParseFullPrecisionFlag (correctly rounded
floats; without it, sums and written floats are wrong) and Boost.JSON with number_precision::precise, as every other
library rounds correctly by default; only validate, which reads no number, also has RapidJSON's (default precision). RapidJSON's Document::Parse(data, size) and our SAX read through EncodedInputStream<MemoryStream>;
(string stream) reads the NUL-terminated string through StringStream, as Document::Parse(const char*) does,
where RapidJSON has a SIMD string scanner (used only without kParseValidateEncodingFlag).
Variants named (raw numbers) or (numbers: none) use a library's mode that validates numbers without converting
them (yyjson YYJSON_READ_NUMBER_AS_RAW, RapidJSON kParseNumbersAsStringsFlag, Boost.JSON
number_precision::none), as json_document converts a number only when it is read. In select they convert the
selected numbers themselves (std::from_chars); Boost.JSON's none leaves no number text in its DOM, so it cannot.
yyjson writes a raw number verbatim, so read (raw numbers) + write is exact. sonic-cpp 1.0.2 has no parse flags,
and Glaze's generic DOM has no raw number mode (validate_json converts no number anyway). (reused allocator):
yyjson's yyjson_alc_dyn_new(), RapidJSON's MemoryPoolAllocators over user buffers for the values and the parse
stack; Boost.JSON's parser (reused) builds its value in a monotonic_resource over a buffer kept across calls. These
buffers grow after a call that needed more, so the timed calls do not allocate. generic (double) is glz::generic,
which stores every number as a double. The Glaze (strict) variants read with validate_trailing_whitespace (else
Glaze accepts anything after the value) and write with escape_control_characters (else Glaze writes a string's
control characters, e.g. U+0001, unescaped, which is not JSON; gsoc-2018.json has some).
| library | version | notes |
|---|---|---|
json_document, json |
this checkout | |
| yyjson | 0.13.0 | |
| simdjson | 5.1.1 | the single-header files of the tag |
| sonic-cpp | 1.0.2 | |
| RapidJSON | master 24b5e7a8b27f (2025-02-05) | |
| Glaze | 9.1.0 | generic_u64 and generic (owning DOMs, member order kept) |
| Boost.JSON | 1.92.0 | monotonic resource |
| sonic-rs, simd-json, serde_json | see rust/Cargo.lock |
serde_json with float_roundtrip |
SHA-256 of the downloads:
55f8a675397c505f9bee6c160e1c26b0085868f185d04d7a7727531fdbff4bd4 glaze-v9.1.0.tar.gz
30edf9e47c417f653546c39295fdb66ba5f89fb37eb3780122c6ee66605e5837 sonic-cpp v1.0.2.tar.gz
2d2601a82d2d3b7e143a3c8d43ef616671391034bc46891a9816b79cf2d3e7a8 rapidjson 24b5e7a8b27f42fa16b96fc70aade9106cf7102f.tar.gz
34e0f62a2bc11ab20d601e8ca1cc2b2079503aa45119a19133d89d19b94a0fae yyjson 0.13.0.tar.gz
f3e5ee5f39051960b5ce65762ee4b6919caf270675eb52240ebd92f21a5bcefd simdjson v5.1.1 singleheader/simdjson.h
3ea5f501cef6c2e16e28095b566feeb56021ca473aaf50aad32102f45d734195 simdjson v5.1.1 singleheader/simdjson.cpp
c4a3b310ddd2472416e091067166b0713be97c63f38c212c484ada022fd296ce boost_1_92_0.tar.gz
Timing
Every variant of a use case runs interleaved in every round, each timed call after an untimed one, and the best
round is reported (the method of bench_view.cpp). The order of the variants changes in every round (a shuffle with a
fixed seed; the first round keeps the listed order): on the Mac, a variant's time can depend on which variant ran
before it, by up to 15 %, and a fixed order would give each variant the same neighbour in every round. jeopardy.json (50 MB) gets a fifth of the rounds (at least 3,
at most the given number).
Building and running
All libraries except yyjson and simdjson are used header-only. With the downloads unpacked into DL
(compare.py --download fetches yyjson and Boost into its build directory, and simdjson 4.6.11, so take simdjson
5.1.1's singleheader files from its tag):
cc -O3 -DNDEBUG -c $DL/yyjson-0.13.0/src/yyjson.c -o yyjson.o
c++ -std=c++17 -O3 -DNDEBUG -c $DL/simdjson-5.1.1/singleheader/simdjson.cpp -o simdjson.o
c++ -std=c++23 -O3 -DNDEBUG -DRAPIDJSON_NEON \
-I ../../../../include -I $DL/yyjson-0.13.0/src -I $DL/simdjson-5.1.1/singleheader -I $DL/boost_1_92_0 \
-I $DL/glaze-9.1.0/include -I $DL/rapidjson/include -I $DL/sonic/include \
bench_all.cpp yyjson.o simdjson.o -o bench_all
./bench_all <json_test_data> 30 > mac-cpp-1.log
cd rust && cargo build --release --locked && ./target/release/bench_rs <json_test_data> 30 > ../mac-rs-1.log
python3 summarize.py mac-cpp-*.log --rust mac-rs-*.log --json mac.json
With GCC 16 and Homebrew Clang on macOS, build the three steps with the same flags plus
--sysroot=$(xcrun --show-sdk-path) (gcc-16, g++-16) or -isysroot $(xcrun --show-sdk-path)
(/opt/homebrew/opt/llvm/bin/clang, clang++). The key selectors and simdjson's tag_invoke need C++20, so
bench_all.cpp needs -std=c++20 or newer.
Both programs take <json_test_data> [rounds] [file] [use case]: ./bench_all <json_test_data> 30 canada edit times
only the edit of canada.json; "" stands for all files; the file names are twitter, citm_catalog, canada,
jeopardy, status, twitter_min and citm_catalog_min. The checks cover only the selected files and use cases.
bench_all uses fork() for the probes and the crash check (macOS, Linux).
--files <dir> [rounds] [file] [use case] runs validate, sum, minify and write (select and edit are
defined only for the files above) on every *.json file of a directory, named by their stem; files under 500 KB are
timed in batches of about 500 KB of input. It is meant for files the libraries were not tuned on, such as the
jsonexamples of simdjson-data without twitter.json,
citm_catalog.json and canada.json. summarize.py takes such logs as well.
On x86-64, use -march=haswell -DRAPIDJSON_SSE42 instead of -DRAPIDJSON_NEON (sonic-cpp needs AVX2), pin the
process to one core, and time one file per process. Glaze 9 needs std::expected, which Clang 18 and older cannot
use from GCC 13's standard library (Clang 19 and newer can); -DBENCH_NO_GLAZE=1 builds without it. For Rust, build
with RUSTFLAGS="-C target-cpu=haswell" to match -march=haswell.
Reading the results
A log line holds the file, the use case, and one cell per variant: | <library>: <variant> [<level>] <time>us (<ratio>x), the ratio relative to the first variant of the line. summarize.py prints, for every use case and file,
(a) per library the best full variant and, if faster, the best variant at any level, with their ratios to the best
full nlohmann json_document variant ((reused) and (reused allocator) variants are never a library's best; a
reused: line below the library shows its best reused variant in the same way), (b) all variants with their levels
and times, and (c) what the variants below full accept, and the excluded variants. --json writes
{use case: {file: {library: {"best": {"variant", "us", "level"} or null, "best_any": {...}, "best_reused": {...} or null, "best_reused_any": {...} or null, "variants": {variant: {"us", "level"}}, "excluded": {...}}}}} for the chart
scripts (best_reused: the best full reused variant; best_reused_any: at any level). Several logs are combined by taking each cell's best
time; a variant excluded for one file is left out for every file of that use case.
On a shared machine, differences of a few percent are noise: run twice and compare.