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Author SHA1 Message Date
Niels Lohmann ad31938c71 Make flatten() linear for ordered_json
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-10-15 08:16:49 +02:00
Niels Lohmann 908038c027 Look up the key only once in the callback parser's key()
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-10-15 08:16:23 +02:00
7 changed files with 138 additions and 544 deletions

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+6 -3
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@@ -674,16 +674,19 @@ class json_sax_dom_callback_parser
if (keep && ref_stack.back())
{
auto& obj = *ref_stack.back()->m_data.m_value.object;
const auto it = obj.find(val);
if (it != obj.end())
// a single lookup: insert the placeholder, or find the existing member
const auto inserted = obj.emplace(val, discarded);
const auto it = inserted.first;
if (!inserted.second)
{
// this is a duplicate key (legal in JSON); remember its
// current value so it can be restored later if the new
// value is rejected by the callback, instead of being
// erased together with the discarded placeholder
duplicate_key_stash.emplace_back(&(it->second), it->second);
it->second = discarded;
}
object_element = &(obj[val] = discarded);
object_element = &(it->second);
}
return true;
+26 -4
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@@ -938,6 +938,23 @@ class json_pointer
}
private:
// Add the entry (key, v) to the object `obj`. Flattened paths are pairwise
// distinct, so objects that can append a key known to be absent
// (ordered_map) skip the lookup, which is linear and would make flatten
// quadratic; all other object types use operator[].
template<typename ObjectType, typename ValueType>
static auto add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, int /*unused*/)
-> decltype(obj.emplace_new_key(key, std::forward<ValueType>(v)), void())
{
obj.emplace_new_key(key, std::forward<ValueType>(v));
}
template<typename ObjectType, typename ValueType>
static void add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, ...)
{
obj[key] = std::forward<ValueType>(v);
}
/*!
@param[in] reference_string the reference string to the current value
@param[in] value the value to consider
@@ -982,7 +999,8 @@ class json_pointer
// flatten `v`, whose path is `path`: primitives and empty containers
// are added to the result right away; other containers get a frame
const auto enter = [&stack, &path, &result](const BasicJsonType & v)
auto& object = *result.m_data.m_value.object;
const auto enter = [&stack, &path, &object](const BasicJsonType & v)
{
switch (v.type())
{
@@ -991,7 +1009,7 @@ class json_pointer
if (v.m_data.m_value.array->empty())
{
// flatten empty array as null
result[path] = nullptr;
add_flattened(object, path, nullptr, 0);
}
else
{
@@ -1005,7 +1023,7 @@ class json_pointer
if (v.m_data.m_value.object->empty())
{
// flatten empty object as null
result[path] = nullptr;
add_flattened(object, path, nullptr, 0);
}
else
{
@@ -1025,7 +1043,7 @@ class json_pointer
default:
{
// add a primitive value with its reference string
result[path] = v;
add_flattened(object, path, v, 0);
return;
}
}
@@ -1071,6 +1089,10 @@ class json_pointer
enter(it->second);
}
}
// the entries were added without going through basic_json, so the
// parent pointers (JSON_DIAGNOSTICS) have to be set now
result.set_parents();
}
/*!
+11
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@@ -143,6 +143,17 @@ public:
return {std::prev(this->end()), true};
}
/// @brief add an element at the end without checking whether the key exists
/// @note The caller must guarantee that @a key is not yet contained, otherwise
/// the container holds duplicate keys. This avoids the linear search of
/// emplace() and operator[] when many keys known to be new are added.
template<class V, detail::enable_if_t<
detail::is_constructible<T, V>::value, int> = 0>
void emplace_new_key(const key_type& key, V && t)
{
append(key, std::forward<V>(t));
}
T& operator[](const key_type& key)
{
return emplace(key, T{}).first->second;
+43 -7
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@@ -13850,16 +13850,19 @@ class json_sax_dom_callback_parser
if (keep && ref_stack.back())
{
auto& obj = *ref_stack.back()->m_data.m_value.object;
const auto it = obj.find(val);
if (it != obj.end())
// a single lookup: insert the placeholder, or find the existing member
const auto inserted = obj.emplace(val, discarded);
const auto it = inserted.first;
if (!inserted.second)
{
// this is a duplicate key (legal in JSON); remember its
// current value so it can be restored later if the new
// value is rejected by the callback, instead of being
// erased together with the discarded placeholder
duplicate_key_stash.emplace_back(&(it->second), it->second);
it->second = discarded;
}
object_element = &(obj[val] = discarded);
object_element = &(it->second);
}
return true;
@@ -21559,6 +21562,23 @@ class json_pointer
}
private:
// Add the entry (key, v) to the object `obj`. Flattened paths are pairwise
// distinct, so objects that can append a key known to be absent
// (ordered_map) skip the lookup, which is linear and would make flatten
// quadratic; all other object types use operator[].
template<typename ObjectType, typename ValueType>
static auto add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, int /*unused*/)
-> decltype(obj.emplace_new_key(key, std::forward<ValueType>(v)), void())
{
obj.emplace_new_key(key, std::forward<ValueType>(v));
}
template<typename ObjectType, typename ValueType>
static void add_flattened(ObjectType& obj, const string_t& key, ValueType&& v, ...)
{
obj[key] = std::forward<ValueType>(v);
}
/*!
@param[in] reference_string the reference string to the current value
@param[in] value the value to consider
@@ -21603,7 +21623,8 @@ class json_pointer
// flatten `v`, whose path is `path`: primitives and empty containers
// are added to the result right away; other containers get a frame
const auto enter = [&stack, &path, &result](const BasicJsonType & v)
auto& object = *result.m_data.m_value.object;
const auto enter = [&stack, &path, &object](const BasicJsonType & v)
{
switch (v.type())
{
@@ -21612,7 +21633,7 @@ class json_pointer
if (v.m_data.m_value.array->empty())
{
// flatten empty array as null
result[path] = nullptr;
add_flattened(object, path, nullptr, 0);
}
else
{
@@ -21626,7 +21647,7 @@ class json_pointer
if (v.m_data.m_value.object->empty())
{
// flatten empty object as null
result[path] = nullptr;
add_flattened(object, path, nullptr, 0);
}
else
{
@@ -21646,7 +21667,7 @@ class json_pointer
default:
{
// add a primitive value with its reference string
result[path] = v;
add_flattened(object, path, v, 0);
return;
}
}
@@ -21692,6 +21713,10 @@ class json_pointer
enter(it->second);
}
}
// the entries were added without going through basic_json, so the
// parent pointers (JSON_DIAGNOSTICS) have to be set now
result.set_parents();
}
/*!
@@ -29158,6 +29183,17 @@ public:
return {std::prev(this->end()), true};
}
/// @brief add an element at the end without checking whether the key exists
/// @note The caller must guarantee that @a key is not yet contained, otherwise
/// the container holds duplicate keys. This avoids the linear search of
/// emplace() and operator[] when many keys known to be new are added.
template<class V, detail::enable_if_t<
detail::is_constructible<T, V>::value, int> = 0>
void emplace_new_key(const key_type& key, V && t)
{
append(key, std::forward<V>(t));
}
T& operator[](const key_type& key)
{
return emplace(key, T{}).first->second;
-7
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@@ -16,13 +16,6 @@ Micro-benchmarks for parsing, serialization and the binary formats, written with
| `FromBinaryBuffer`, `FromBinaryFile` | read CBOR, MessagePack, UBJSON, BJData and BSON from a buffer or a `FILE*` |
| `FromBinaryShape` | read deeply nested, container-heavy and scalar-heavy documents in every binary format |
| `FromCborChunkedString` | read CBOR strings split into indefinite-length chunks |
| `SaxParse` | parse with a SAX handler that only counts events, so no values are built |
| `Copy`, `Destroy`, `Equal`, `Iterate` | copy, destroy, or compare a parsed document, or visit every value with range-based `for` loops |
| `Flatten`, `FlattenOrdered`, `Unflatten` | `flatten()` for `json` and `ordered_json`, and `unflatten()` |
| `Diff`, `Patch` | `diff()` against the document with every eighth scalar changed, and applying that patch |
| `JsonPointerParse`, `JsonPointerToString`, `JsonPointerAt`, `JsonPointerContains` | the JSON pointers of every scalar in a document: parse them from strings, turn them back into strings, look them up with `at()` and `contains()` |
| `GetVectorInt`, `GetVectorDouble`, `GetMap` | `get<std::vector<std::int64_t>>()`, `get<std::vector<double>>()` and `get<std::map<std::string, json>>()` on large arrays and a large flat object |
| `ToJsonStrings` | create a `json` array from a `std::vector` of 100,000 strings, copied or moved |
The input files are those of [nativejson-benchmark](https://github.com/miloyip/nativejson-benchmark) (`canada`,
`citm_catalog`, `twitter`), a large `jeopardy` file, and number-heavy files (`floats`, `signed_ints`, ...).
-523
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@@ -8,11 +8,8 @@
#include <benchmark/benchmark.h>
#include <nlohmann/json.hpp>
#include <cstdint>
#include <fstream>
#include <map>
#include <numeric>
#include <string>
#include <vector>
#include <test_data.hpp>
@@ -624,524 +621,4 @@ static void FromCborChunkedString(benchmark::State& state, const std::size_t chu
BENCHMARK_CAPTURE(FromCborChunkedString, 10000 chunks, 10000);
//////////////////////////////////////////////////////////////////////////////
// SAX-parse JSON from string
//
// sax_parse() with a handler that does next to nothing runs the lexer and
// parser without building values, so the gap to ParseString above is the cost
// of building the DOM.
//////////////////////////////////////////////////////////////////////////////
static std::string read_file(const char* filename)
{
std::ifstream f(filename);
return std::string((std::istreambuf_iterator<char>(f)), std::istreambuf_iterator<char>());
}
static json load_json(const char* filename)
{
return json::parse(read_file(filename));
}
/// SAX handler that only counts the events, so that the handler costs next to nothing
class counting_sax : public nlohmann::json_sax<json>
{
public:
std::size_t events = 0;
bool null() override
{
return count();
}
bool boolean(bool /*val*/) override
{
return count();
}
bool number_integer(number_integer_t /*val*/) override
{
return count();
}
bool number_unsigned(number_unsigned_t /*val*/) override
{
return count();
}
bool number_float(number_float_t /*val*/, const string_t& /*s*/) override
{
return count();
}
bool string(string_t& /*val*/) override
{
return count();
}
bool binary(binary_t& /*val*/) override
{
return count();
}
bool start_object(std::size_t /*elements*/) override
{
return count();
}
bool key(string_t& /*val*/) override
{
return count();
}
bool end_object() override
{
return count();
}
bool start_array(std::size_t /*elements*/) override
{
return count();
}
bool end_array() override
{
return count();
}
bool parse_error(std::size_t /*position*/, const std::string& /*last_token*/, const json::exception& /*ex*/) override
{
return false;
}
private:
bool count()
{
++events;
return true;
}
};
static void SaxParse(benchmark::State& state, const char* filename)
{
const std::string str = read_file(filename);
for (auto _ : state)
{
counting_sax sax;
bool result = json::sax_parse(str, &sax);
benchmark::DoNotOptimize(result);
benchmark::DoNotOptimize(sax.events);
}
state.SetBytesProcessed(state.iterations() * str.size());
}
BENCHMARK_CAPTURE(SaxParse, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(SaxParse, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(SaxParse, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
//////////////////////////////////////////////////////////////////////////////
// work with values: copy, destroy, compare, iterate
//
// The parsed test files stand in for a document an application keeps around.
// Each benchmark times one whole-document operation; setup and cleanup run
// outside the timed section.
//////////////////////////////////////////////////////////////////////////////
static void Copy(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
auto* copy = new json(j);
state.PauseTiming();
delete copy;
state.ResumeTiming();
}
}
BENCHMARK_CAPTURE(Copy, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Copy, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Copy, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void Destroy(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
state.PauseTiming();
auto* copy = new json(j);
state.ResumeTiming();
delete copy;
}
}
BENCHMARK_CAPTURE(Destroy, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Destroy, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Destroy, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void Equal(benchmark::State& state, const char* filename)
{
// two separate values, so that the comparison cannot stop at identical addresses
const json j = load_json(filename);
const json copy = j;
for (auto _ : state)
{
bool result = (j == copy);
benchmark::DoNotOptimize(result);
}
}
BENCHMARK_CAPTURE(Equal, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Equal, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Equal, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
/// visit every value with range-based for loops, as client code walks a document
static std::size_t count_values(const json& j)
{
std::size_t result = 1;
if (j.is_structured())
{
for (const auto& element : j)
{
result += count_values(element);
}
}
return result;
}
static void Iterate(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
std::size_t result = count_values(j);
benchmark::DoNotOptimize(result);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(count_values(j)));
}
BENCHMARK_CAPTURE(Iterate, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Iterate, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Iterate, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
//////////////////////////////////////////////////////////////////////////////
// flatten and unflatten
//////////////////////////////////////////////////////////////////////////////
static void Flatten(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
json flat = j.flatten();
benchmark::DoNotOptimize(flat);
}
}
BENCHMARK_CAPTURE(Flatten, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Flatten, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Flatten, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
// ordered_json objects look keys up linearly, which flatten() used to do for
// every value; canada (330,000 values in one flat object) is left out, as it
// would take minutes with such versions
static void FlattenOrdered(benchmark::State& state, const char* filename)
{
const nlohmann::ordered_json j = nlohmann::ordered_json::parse(read_file(filename));
for (auto _ : state)
{
nlohmann::ordered_json flat = j.flatten();
benchmark::DoNotOptimize(flat);
}
}
BENCHMARK_CAPTURE(FlattenOrdered, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(FlattenOrdered, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void Unflatten(benchmark::State& state, const char* filename)
{
const json flat = load_json(filename).flatten();
for (auto _ : state)
{
json j = flat.unflatten();
benchmark::DoNotOptimize(j);
}
}
BENCHMARK_CAPTURE(Unflatten, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Unflatten, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Unflatten, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
//////////////////////////////////////////////////////////////////////////////
// diff and patch
//
// The target is the document with every eighth scalar changed, so the patch
// has one "replace" operation per changed value and the structure stays the
// same.
//////////////////////////////////////////////////////////////////////////////
static void change_every_eighth_scalar(json& j, std::size_t& counter)
{
if (j.is_structured())
{
for (auto& element : j)
{
change_every_eighth_scalar(element, counter);
}
return;
}
if (++counter % 8 != 0)
{
return;
}
switch (j.type())
{
case json::value_t::number_integer:
j = j.get<json::number_integer_t>() + 1;
break;
case json::value_t::number_unsigned:
j = j.get<json::number_unsigned_t>() + 1;
break;
case json::value_t::number_float:
j = j.get<json::number_float_t>() + 0.5;
break;
case json::value_t::string:
j = j.get<std::string>() + "!";
break;
case json::value_t::boolean:
j = !j.get<bool>();
break;
case json::value_t::null:
case json::value_t::object:
case json::value_t::array:
case json::value_t::binary:
case json::value_t::discarded:
default:
j = 0;
break;
}
}
static json changed_copy(const json& j)
{
json result = j;
std::size_t counter = 0;
change_every_eighth_scalar(result, counter);
return result;
}
static void Diff(benchmark::State& state, const char* filename)
{
const json source = load_json(filename);
const json target = changed_copy(source);
for (auto _ : state)
{
json patch = json::diff(source, target);
benchmark::DoNotOptimize(patch);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(json::diff(source, target).size()));
}
BENCHMARK_CAPTURE(Diff, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Diff, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Diff, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void Patch(benchmark::State& state, const char* filename)
{
const json source = load_json(filename);
const json patch = json::diff(source, changed_copy(source));
for (auto _ : state)
{
json result = source.patch(patch);
benchmark::DoNotOptimize(result);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(patch.size()));
}
BENCHMARK_CAPTURE(Patch, canada, TEST_DATA_DIRECTORY "/nativejson-benchmark/canada.json");
BENCHMARK_CAPTURE(Patch, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(Patch, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
//////////////////////////////////////////////////////////////////////////////
// JSON Pointer
//
// The pointers are those of every scalar in the document, i.e., the keys of
// its flattened form.
//////////////////////////////////////////////////////////////////////////////
static std::vector<std::string> pointer_strings(const json& j)
{
std::vector<std::string> result;
const json flat = j.flatten();
result.reserve(flat.size());
for (auto it = flat.begin(); it != flat.end(); ++it)
{
result.push_back(it.key());
}
return result;
}
static std::vector<json::json_pointer> pointers(const json& j)
{
const std::vector<std::string> strings = pointer_strings(j);
std::vector<json::json_pointer> result;
result.reserve(strings.size());
for (const auto& s : strings)
{
result.emplace_back(s);
}
return result;
}
static void JsonPointerParse(benchmark::State& state, const char* filename)
{
const std::vector<std::string> strings = pointer_strings(load_json(filename));
for (auto _ : state)
{
for (const auto& s : strings)
{
json::json_pointer ptr(s);
benchmark::DoNotOptimize(ptr);
}
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(strings.size()));
}
BENCHMARK_CAPTURE(JsonPointerParse, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(JsonPointerParse, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void JsonPointerToString(benchmark::State& state, const char* filename)
{
const std::vector<json::json_pointer> ptrs = pointers(load_json(filename));
for (auto _ : state)
{
for (const auto& ptr : ptrs)
{
std::string s = ptr.to_string();
benchmark::DoNotOptimize(s);
}
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(ptrs.size()));
}
BENCHMARK_CAPTURE(JsonPointerToString, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(JsonPointerToString, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void JsonPointerAt(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
const std::vector<json::json_pointer> ptrs = pointers(j);
for (auto _ : state)
{
for (const auto& ptr : ptrs)
{
const json& value = j.at(ptr);
benchmark::DoNotOptimize(&value);
}
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(ptrs.size()));
}
BENCHMARK_CAPTURE(JsonPointerAt, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(JsonPointerAt, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
static void JsonPointerContains(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
const std::vector<json::json_pointer> ptrs = pointers(j);
for (auto _ : state)
{
for (const auto& ptr : ptrs)
{
bool result = j.contains(ptr);
benchmark::DoNotOptimize(result);
}
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(ptrs.size()));
}
BENCHMARK_CAPTURE(JsonPointerContains, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
BENCHMARK_CAPTURE(JsonPointerContains, twitter, TEST_DATA_DIRECTORY "/nativejson-benchmark/twitter.json");
//////////////////////////////////////////////////////////////////////////////
// conversions from and to C++ containers
//////////////////////////////////////////////////////////////////////////////
static void GetVectorInt(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
auto v = j.get<std::vector<std::int64_t>>();
benchmark::DoNotOptimize(v);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(j.size()));
}
BENCHMARK_CAPTURE(GetVectorInt, signed_ints, TEST_DATA_DIRECTORY "/regression/signed_ints.json");
static void GetVectorDouble(benchmark::State& state, const char* filename)
{
const json j = load_json(filename);
for (auto _ : state)
{
auto v = j.get<std::vector<double>>();
benchmark::DoNotOptimize(v);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(j.size()));
}
BENCHMARK_CAPTURE(GetVectorDouble, floats, TEST_DATA_DIRECTORY "/regression/floats.json");
// a large flat object: the flattened document, one member per scalar
static void GetMap(benchmark::State& state, const char* filename)
{
const json j = load_json(filename).flatten();
for (auto _ : state)
{
auto m = j.get<std::map<std::string, json>>();
benchmark::DoNotOptimize(m);
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(j.size()));
}
BENCHMARK_CAPTURE(GetMap, citm_catalog, TEST_DATA_DIRECTORY "/nativejson-benchmark/citm_catalog.json");
/// 100,000 strings, each too long for the small string optimization
static std::vector<std::string> make_strings()
{
std::vector<std::string> result;
result.reserve(100000);
for (std::size_t i = 0; i < 100000; ++i)
{
result.push_back("a string that does not fit in place: " + std::to_string(i));
}
return result;
}
static void ToJsonStrings(benchmark::State& state, const bool move)
{
const std::vector<std::string> strings = make_strings();
for (auto _ : state)
{
state.PauseTiming();
std::vector<std::string> input = strings;
state.ResumeTiming();
auto* j = move ? new json(std::move(input)) : new json(input);
state.PauseTiming();
delete j;
state.ResumeTiming();
}
state.SetItemsProcessed(state.iterations() * static_cast<std::int64_t>(strings.size()));
}
BENCHMARK_CAPTURE(ToJsonStrings, copy, false);
BENCHMARK_CAPTURE(ToJsonStrings, move, true);
BENCHMARK_MAIN();
+52
View File
@@ -24,6 +24,8 @@ using nlohmann::json;
#endif
#include <map>
#include <string>
#include <vector>
#include <sstream>
TEST_CASE("JSON pointers")
@@ -1071,3 +1073,53 @@ TEST_CASE("flatten of structured values")
R"({"/z":"s","/a~1b/~0":1,"/a~1b/k":null,"/a/0":1,"/a/1/c":null,"/a/1/b":null,"/a/2/0/x~0~1/0":true,"/a/2/0/x~0~1/1":null,"/a/2/0/w":2})");
}
}
TEST_CASE("flatten of ordered_json")
{
using nlohmann::ordered_json;
SECTION("keeps the document order of the leaves")
{
const ordered_json j = ordered_json::parse(R"({
"z": 1, "a": {"y": [true, null, {}], "b": "x", "": []},
"m~n": 2.5, "o/p": {"k": {}}, "0": [[1], [2, 3]]
})");
const ordered_json flat = j.flatten();
std::vector<std::string> keys;
for (const auto& el : flat.items())
{
keys.push_back(el.key());
}
const std::vector<std::string> expected =
{
"/z", "/a/y/0", "/a/y/1", "/a/y/2", "/a/b", "/a/", "/m~0n", "/o~1p/k", "/0/0/0", "/0/1/0", "/0/1/1"
};
CHECK(keys == expected);
CHECK(flat.size() == expected.size());
CHECK(flat["/m~0n"] == 2.5);
CHECK(flat["/a/y/2"].is_null());
}
SECTION("round-trips and agrees with json")
{
ordered_json j;
for (int i = 0; i < 200; ++i)
{
j["k" + std::to_string(i)] = {{"v", i}, {"l", {i, i + 1, "s"}}};
}
const ordered_json flat = j.flatten();
CHECK(flat.size() == 800);
CHECK(flat.unflatten() == j);
// same entries as for a sorted object
const nlohmann::json plain = nlohmann::json::parse(j.dump());
CHECK(nlohmann::json::parse(flat.dump()) == plain.flatten());
}
SECTION("primitive and empty root")
{
CHECK(ordered_json(1).flatten() == ordered_json({{"", 1}}));
CHECK(ordered_json::array().flatten() == ordered_json({{"", nullptr}}));
}
}