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Author SHA1 Message Date
Francisco Geiman Thiesen 55f698c97b Merge branch 'master' into francisco/toy_example 2025-08-09 03:26:37 +00:00
Francisco Geiman Thiesen 7e2a1d7651 Pushing a few readmes that can be useful for talk preparation 2025-08-09 03:25:54 +00:00
Francisco Geiman Thiesen c4058d9d22 Adding scripts with both serialization and deserialization 2025-08-08 02:24:12 +00:00
Francisco Geiman Thiesen 54af3feca2 Adding initial toy_example that shows why reflection is almost frictionless to use. 2025-08-05 15:17:08 +00:00
16 changed files with 1878 additions and 0 deletions
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# C++ ignore from https://github.com/github/gitignore/blob/master/C%2B%2B.gitignore
# CMake build artifacts
CMakeCache.txt
CMakeFiles/
CPackConfig.cmake
CPackSourceConfig.cmake
Makefile
cmake_install.cmake
simdjson-config*.cmake
simdjson-props.cmake
simdjson.pc
# Build directories
deps/
examples/build_*/
examples/*_demo
examples/*_benchmark
# Temporary files
examples/CMakeLists_demo.txt
examples/simple_http.h
# Prerequisites
*.d
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# 🛠️ Build Instructions for simdjson One-Liner Demo
## Prerequisites
### For Both Examples
- **cpr library** (for HTTP requests) - See [INSTALL_CPR.md](INSTALL_CPR.md) for installation
- **curl library** (cpr dependency) - Usually pre-installed on most systems
- **simdjson library** - Included in this repository
### For Legacy Example (github_legacy.cpp)
- Any C++20 compatible compiler (GCC 10+, Clang 10+, MSVC 2019+)
### For Modern Example (github_modern.cpp)
- Bloomberg Clang fork with C++26 reflection support
- Get it from: https://github.com/bloomberg/clang-p2996
## 🔨 Compilation Commands
### Quick Setup (Recommended)
1. **Build cpr from source** (if not installed system-wide):
```bash
# From the examples directory
mkdir -p ../deps && cd ../deps
git clone https://github.com/libcpr/cpr.git
cd cpr && git checkout 1.10.5
mkdir build && cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DCPR_USE_SYSTEM_CURL=ON -DBUILD_SHARED_LIBS=OFF -DCPR_ENABLE_SSL=OFF
make -j4
cd ../../../examples
```
2. **Compile the examples**:
```bash
# Legacy approach (any C++20 compiler)
clang++ -std=c++20 \
-I../deps/cpr/include \
-I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. \
github_legacy.cpp \
../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a \
-lcurl -pthread \
-o github_legacy_demo
# Modern approach (Bloomberg clang with reflection)
clang++ -std=c++26 -freflection \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../deps/cpr/include \
-I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. \
github_modern.cpp \
../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a \
-lcurl -pthread \
-o github_modern_demo
```
### Using System-Installed cpr
If cpr is installed system-wide (see [INSTALL_CPR.md](INSTALL_CPR.md)):
```bash
# Legacy approach
clang++ -std=c++20 \
-I../include -I.. \
github_legacy.cpp \
-lcpr -lcurl \
-o github_legacy_demo
# Modern approach
clang++ -std=c++26 -freflection \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../include -I.. \
github_modern.cpp \
-lcpr -lcurl \
-o github_modern_demo
```
### Using simdjson Single Header
```bash
# Legacy approach
clang++ -std=c++20 \
-I../singleheader \
github_legacy.cpp \
../singleheader/simdjson.cpp \
-lcpr -lcurl \
-o github_legacy_demo
# Modern approach
clang++ -std=c++26 -freflection \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../singleheader -I../include \
github_modern.cpp \
../singleheader/simdjson.cpp \
-lcpr -lcurl \
-o github_modern_demo
```
### Using CMake (Recommended)
```bash
# Create build directory
mkdir build && cd build
# Configure with CMake
cmake .. -DCMAKE_CXX_COMPILER=clang++ \
-DCMAKE_CXX_STANDARD=26 \
-DCMAKE_CXX_FLAGS="-freflection -DSIMDJSON_STATIC_REFLECTION=1"
# Build both examples
make github_legacy github_modern
```
### Quick Build with simdjson Single Header
```bash
# Legacy approach
clang++ -std=c++20 \
-I../singleheader \
github_legacy.cpp \
../singleheader/simdjson.cpp \
-lcpr -lcurl \
-o github_legacy_demo
# Modern approach
clang++ -std=c++26 -freflection \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../singleheader \
github_modern.cpp \
../singleheader/simdjson.cpp \
-lcpr -lcurl \
-o github_modern_demo
```
## 🏃 Running the Examples
```bash
# Run legacy version
./github_legacy_demo
# Run modern version
./github_modern_demo
```
## 🎯 Platform-Specific Notes
### Linux (x86_64)
```bash
-DSIMDJSON_IMPLEMENTATION_HASWELL=1
```
### Linux (ARM64)
```bash
-DSIMDJSON_IMPLEMENTATION_ARM64=1
```
### macOS (Apple Silicon)
```bash
-DSIMDJSON_IMPLEMENTATION_ARM64=1
```
### macOS (Intel)
```bash
-DSIMDJSON_IMPLEMENTATION_HASWELL=1
```
### Windows (MSVC)
```cmd
cl /std:c++20 /I..\include /I.. github_legacy.cpp /Fe:github_legacy_demo.exe
```
## 🐛 Troubleshooting
### "reflection feature not available"
- Ensure you're using the Bloomberg clang fork
- Check version: `clang++ --version` should show bloomberg/clang-p2996
### "SIMDJSON_STATIC_REFLECTION not working"
- Make sure to define it before including headers:
```cpp
#define SIMDJSON_STATIC_REFLECTION 1
#include <simdjson.h>
```
### Linking errors
- Use single-header approach for simplicity
- Or ensure simdjson library is properly built and linked
### Performance issues
- Add optimization flags: `-O3 -march=native`
- Enable LTO: `-flto`
## 📦 Creating a Portable Demo
For conferences, prepare the demo environment:
```bash
# Install cpr library (if not available)
# Ubuntu/Debian:
sudo apt-get install libcpr-dev
# macOS:
brew install cpr
# Or build from source:
git clone https://github.com/libcpr/cpr.git
cd cpr && mkdir build && cd build
cmake .. && make && sudo make install
# Create demo directory
mkdir simdjson_oneliner_demo
cd simdjson_oneliner_demo
# Copy necessary files
cp path/to/github_legacy.cpp .
cp path/to/github_modern.cpp .
cp -r path/to/simdjson/include .
cp -r path/to/simdjson/singleheader .
# Create build script
cat > build_demo.sh << 'EOF'
#!/bin/bash
echo "🔨 Building Legacy Example..."
clang++ -std=c++20 -O3 -I./include -I. \
github_legacy.cpp -lcpr -lcurl -o legacy_demo
echo "🔨 Building Modern Example (C++26)..."
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 -O3 \
-I./include -I. github_modern.cpp -lcpr -lcurl -o modern_demo
echo "✅ Build complete!"
echo "Run: ./legacy_demo or ./modern_demo"
EOF
chmod +x build_demo.sh
```
## 🎪 Conference Checklist
- [ ] Bloomberg clang installed on demo machine
- [ ] Both examples compile cleanly
- [ ] Internet connection for live API calls (or use standalone)
- [ ] Backup: pre-recorded video of compilation and execution
- [ ] Slides with code snippets
- [ ] QR code for GitHub repo
## 🔗 Quick Links
- simdjson: https://github.com/simdjson/simdjson
- Bloomberg Clang: https://github.com/bloomberg/clang-p2996
- P2996 Reflection Proposal: https://wg21.link/p2996
- Talk Resources: [Your GitHub repo with examples]
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add_subdirectory(quickstart)
# Add simdjson one-liner demo examples
if(EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/github_legacy.cpp AND EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/github_modern.cpp)
# FetchContent to download cpr
include(FetchContent)
set(CPR_ENABLE_SSL OFF CACHE BOOL "")
FetchContent_Declare(
cpr
GIT_REPOSITORY https://github.com/libcpr/cpr.git
GIT_TAG 1.10.5
)
FetchContent_MakeAvailable(cpr)
# Build the examples
add_executable(github_legacy github_legacy.cpp)
target_link_libraries(github_legacy simdjson cpr::cpr)
add_executable(github_modern github_modern.cpp)
target_link_libraries(github_modern simdjson cpr::cpr)
target_compile_options(github_modern PRIVATE -std=c++26 -freflection)
target_compile_definitions(github_modern PRIVATE SIMDJSON_STATIC_REFLECTION=1)
endif()
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# 🚀 From Boilerplate to One-Liner: The simdjson Revolution
## Conference Talk: JSON Parsing in Modern C++
### 📋 Talk Abstract
Discover how simdjson's new API combined with C++26 reflection transforms JSON parsing from a tedious, error-prone task into a single line of code. This talk showcases the dramatic evolution from manual parsing to automatic struct deserialization.
---
## 🎯 Key Talking Points
### 1. **The Problem** (2 minutes)
- JSON is everywhere: APIs, configs, data exchange
- C++ historically makes JSON parsing verbose
- Show other languages: `user = json.loads(data)` in Python
- "Why can't C++ be this simple?"
### 2. **The Legacy Approach** (5 minutes)
- Live demo: `github_legacy.cpp`
- Walk through the boilerplate:
```cpp
// 😓 Manual field extraction
user.login = std::string(doc["login"].get_string().value());
user.id = doc["id"].get_int64().value();
// 😰 Handle optional fields
auto company_result = doc["company"];
if (!company_result.is_null()) {
user.company = std::string(company_result.get_string().value());
}
```
- Count the lines: ~30 lines just for parsing!
- Error-prone: typos, missing fields, type mismatches
### 3. **The Magic Moment** (3 minutes)
- "What if I told you it could be just ONE line?"
- Show `github_modern.cpp`
- The magic line:
```cpp
GitHubUser user = simdjson::from(simdjson::padded_string(json_data));
```
- Audience reaction: 🤯
### 4. **How It Works** (5 minutes)
- C++26 static reflection
- Compile-time struct introspection
- simdjson generates parsing code automatically
- Zero runtime overhead - it's all compile-time!
### 5. **Live Demo** (5 minutes)
- Compile both examples
- Run them side-by-side
- Show identical output
- Highlight the code difference
- Add a new field to the struct - watch it "just work"
### 6. **Deserialization Performance** (3 minutes)
- "But is deserialization fast?"
- Live benchmark demonstration
- Both approaches achieve ~2.7 GB/s deserialization speed on real GitHub API data
- Reflection adds ZERO runtime overhead to deserialization
- "You get simplicity WITHOUT sacrificing speed!"
- Note: We're measuring JSON → struct deserialization performance
- Note: Performance scales with larger documents (up to 3+ GB/s)
### 7. **The Future is Now** (2 minutes)
- Bloomberg clang fork available today
- C++26 coming soon
- Start preparing your codebases
- simdjson ready for the future
---
## 💻 Live Coding Demo Script
### Setup
```bash
# Show the two files
ls -la github_*.cpp
# Show line count difference
wc -l github_legacy.cpp github_modern.cpp
```
### Demo 1: The Pain of Legacy
```bash
# Open github_legacy.cpp in editor
# Highlight the parse_github_user function
# Point out each manual field extraction
# "Look at all this code just to parse 7 fields!"
```
### Demo 2: The Modern Magic
```bash
# Open github_modern.cpp
# Show the struct - "Just a plain struct!"
# Show the one-liner
# "That's it. That's the entire parsing code."
```
### Demo 3: Compilation and Execution
**Option 1: Use the demo script (Recommended)**
```bash
# The script handles everything - building cpr, compiling, and running
./conference_demo.sh
# For the extended demo with serialization:
./conference_demo_serialization.sh
```
**Option 2: Manual compilation**
```bash
# Build cpr first (one-time setup)
mkdir -p ../deps && cd ../deps
git clone https://github.com/libcpr/cpr.git
cd cpr && git checkout 1.10.5
mkdir build && cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DCPR_USE_SYSTEM_CURL=ON \
-DBUILD_SHARED_LIBS=OFF -DCPR_ENABLE_SSL=OFF
make -j4
cd ../../../examples
# Compile legacy
clang++ -std=c++20 \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_legacy.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o legacy_demo
# Compile modern (with reflection)
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_modern.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o modern_demo
# Run both - they fetch real GitHub data!
./legacy_demo
./modern_demo
```
### Demo 4: Adding a New Field (Crowd Pleaser!)
```cpp
// Add to struct in both files:
std::string twitter_username;
// Legacy: Must add parsing code
else if (key == "twitter_username")
user.twitter_username = field.value().get_string().value();
// Modern: Nothing to add! It just works!
```
---
## 🎤 Speaker Notes
### Opening Hook
"How many of you have written JSON parsing code in C++? Keep your hands up if you enjoyed it... Yeah, I thought so."
### Transition to Modern
"But what if I told you that in 2024, with simdjson and C++26, parsing JSON can be as simple as Python?"
### After showing the one-liner
"No, this isn't pseudocode. This is real, working C++ code. Let me prove it to you."
### Addressing Skeptics
- "It's not magic, it's metaprogramming"
- "No runtime cost - it's all compile-time"
- "Yes, it handles errors properly"
- "Yes, it's production-ready"
### Closing
"The future of C++ is here. It's fast, it's simple, and it's beautiful. Stop writing boilerplate. Start writing the code that matters."
---
## 📊 Slide Suggestions
### Slide 1: Title
**From 50 Lines to 1: The simdjson Revolution**
*Your Name - Conference 2024*
### Slide 2: The Problem
```python
# Python
user = json.loads(data)
# JavaScript
const user = JSON.parse(data);
# C++ ???
// 😭 50+ lines of boilerplate
```
### Slide 3: The Solution
```cpp
// C++26 with simdjson
GitHubUser user = simdjson::from(simdjson::padded_string(data));
```
### Slide 4: Performance Graph
- Bar chart showing simdjson vs other parsers
- "Fast AND Simple"
### Slide 5: Timeline
- 2018: simdjson introduced (fast but verbose)
- 2024: New API design
- 2024: C++26 reflection support
- Future: It's here!
### Slide 6: Call to Action
- Try it today: github.com/simdjson/simdjson
- Bloomberg clang: github.com/bloomberg/clang-p2996
- Join the revolution!
---
## 🔥 Audience Engagement
### Interactive Elements
1. **Live Poll**: "How many lines of code for parsing JSON?"
2. **Challenge**: "Spot the bug in this manual parsing code"
3. **Q&A Focus**: Performance, error handling, compatibility
### Memorable Moments
- The reveal of the one-liner
- Live compilation with reflection
- Adding a field without changing parsing code
- Performance numbers
### Takeaway Message
"C++ doesn't have to be painful. With modern tools and modern standards, C++ can be as elegant as any language - and faster than all of them."
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# Installing CPR Library
The examples require the CPR library for making HTTP requests to the GitHub API.
## Option 1: Install via Package Manager (Recommended)
### Ubuntu/Debian
```bash
sudo apt-get update
sudo apt-get install libcpr-dev
```
### macOS (Homebrew)
```bash
brew install cpr
```
### Arch Linux
```bash
sudo pacman -S cpr
```
## Option 2: Build from Source
```bash
# Clone cpr
git clone https://github.com/libcpr/cpr.git
cd cpr
# Build and install
mkdir build && cd build
cmake .. -DCPR_USE_SYSTEM_CURL=ON
make
sudo make install
```
## Option 3: Using vcpkg
```bash
vcpkg install cpr
```
## Option 4: Using Conan
```bash
conan install cpr/1.10.5@
```
## Compilation
Once cpr is installed, compile the examples:
```bash
# Legacy example
clang++ -std=c++20 -I../include -I.. github_legacy.cpp -lcpr -lcurl -o github_legacy_demo
# Modern example (requires Bloomberg clang)
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 \
-I../include -I.. github_modern.cpp -lcpr -lcurl -o github_modern_demo
```
## Troubleshooting
If you get "cpr/cpr.h not found", check:
- `pkg-config --cflags --libs cpr`
- Add include path: `-I/usr/local/include`
- Add library path: `-L/usr/local/lib`
For SSL issues, ensure OpenSSL is installed:
- Ubuntu/Debian: `sudo apt-get install libssl-dev`
- macOS: `brew install openssl`
- Link OpenSSL: `-lssl -lcrypto`
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# 🚀 simdjson One-Liner Demo: From Boilerplate to Magic
This demo showcases the dramatic simplification of JSON parsing in C++ using simdjson's new API combined with C++26 reflection.
## Files
- `github_legacy.cpp` - Traditional manual JSON parsing approach (~30 lines of parsing code)
- `github_modern.cpp` - Modern C++26 reflection approach (1 line of parsing code!)
- `CONFERENCE_TALK.md` - Complete conference presentation guide
- `BUILD_INSTRUCTIONS.md` - Detailed compilation instructions
- `conference_demo.sh` - Interactive demo script for presentations
## Quick Start
### Prerequisites
- Bloomberg clang for C++26: https://github.com/bloomberg/clang-p2996
- curl library (usually pre-installed)
- cpr library (built automatically by demo script)
### Easy Demo
```bash
# Just run the demo script - it handles everything!
./conference_demo.sh
```
The script will:
1. Build cpr if needed
2. Compile both examples
3. Run interactive presentation
### Manual Compilation
If you want to compile manually:
```bash
# Build cpr first (if not installed)
mkdir -p ../deps && cd ../deps
git clone https://github.com/libcpr/cpr.git
cd cpr && git checkout 1.10.5
mkdir build && cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DCPR_USE_SYSTEM_CURL=ON -DBUILD_SHARED_LIBS=OFF -DCPR_ENABLE_SSL=OFF
make -j4
cd ../../../examples
# Compile examples
# Legacy
clang++ -std=c++20 -I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_legacy.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o legacy_demo
# Modern
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_modern.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o modern_demo
```
## The Magic ✨
**Before (Legacy):**
```cpp
// 30+ lines of manual parsing...
user.login = std::string(doc["login"].get_string().value());
user.id = doc["id"].get_int64().value();
// ... etc for each field
```
**After (Modern):**
```cpp
// Just ONE line!
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
```
Both examples fetch real data from GitHub API to demonstrate real-world usage!
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# simdjson Serialization with C++26 Reflection
This directory now includes examples demonstrating **both** deserialization and serialization using C++26 reflection features.
## 🚀 Quick Start
### Basic Round-Trip Demo
```bash
# Compile and run the simple round-trip demo
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 \
reflection_roundtrip_demo.cpp ../singleheader/simdjson.cpp \
-o reflection_roundtrip_demo
./reflection_roundtrip_demo
```
### Conference Demo with Serialization
```bash
# Run the extended conference demo that includes serialization
./conference_demo_serialization.sh
```
## 📝 What's New?
The experimental `simdjson::builder::to_json_string()` function enables one-line serialization:
```cpp
// Deserialize JSON → Struct
MyStruct obj = simdjson::from(json);
// Serialize Struct → JSON (NEW!)
std::string json = simdjson::builder::to_json_string(obj);
```
## 🎯 Features
- **Zero boilerplate**: No need to write serialization code
- **Automatic handling**: Optional fields, containers, nested structures
- **Type-safe**: Compile-time checking with reflection
- **Performant**: Optimized string building
## ⚠️ Requirements
- Bloomberg's clang fork (clang-p2996) with C++26 reflection support
- Build with `-DSIMDJSON_STATIC_REFLECTION=1`
- Include `simdjson/builder/json_builder.h`
## 📊 Performance
While serialization is generally slower than deserialization (due to string building vs parsing), the reflection-based approach is still highly optimized and significantly faster than manual string concatenation approaches.
## 🔧 Status
This serialization support is **experimental** and part of the builder API. The API may change as C++26 reflection features evolve.
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#!/bin/bash
# Conference Demo Script - simdjson One-Liner Magic
# Run this during your talk for a smooth demo experience
# Check if cpr is built
if [ ! -f "../deps/cpr/build/lib/libcpr.a" ]; then
echo "⚠️ CPR library not found. Building it first..."
echo ""
if [ ! -d "../deps/cpr" ]; then
mkdir -p ../deps
cd ../deps
git clone https://github.com/libcpr/cpr.git
cd cpr && git checkout 1.10.5
cd ../..
fi
cd ../deps/cpr
mkdir -p build && cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DCPR_USE_SYSTEM_CURL=ON -DBUILD_SHARED_LIBS=OFF -DCPR_ENABLE_SSL=OFF
make -j4
cd ../../../examples
echo "✅ CPR built successfully!"
echo ""
fi
clear
echo "🚀 simdjson: From Boilerplate to One-Liner"
echo "==========================================="
echo ""
echo "Press Enter to continue..."
read
# Show the legacy approach
echo "📚 First, let's look at the LEGACY approach..."
echo ""
echo "Opening github_legacy.cpp..."
sleep 1
echo ""
echo "Key points:"
echo " • Manual parse_github_user() function"
echo " • Extract each field individually"
echo " • Handle optional fields explicitly"
echo " • ~30 lines of parsing code"
echo ""
echo "Press Enter to see the code..."
read
# Display key parts of legacy code
cat github_legacy.cpp | grep -A 20 "parse_github_user" | head -25
echo ""
echo "😓 That's a lot of boilerplate!"
echo ""
echo "Press Enter to compile and run..."
read
# Compile legacy
echo "🔨 Compiling legacy version..."
echo "Command: clang++ -std=c++20 -I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes -I../include -I.. github_legacy.cpp ../singleheader/simdjson.cpp ../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o legacy_demo"
clang++ -std=c++20 -I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes -I../include -I.. github_legacy.cpp ../singleheader/simdjson.cpp ../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o legacy_demo
echo "✅ Compiled!"
echo ""
echo "🏃 Running legacy demo (fetching real GitHub data)..."
echo ""
./legacy_demo
echo ""
echo "Press Enter to see the MODERN approach..."
read
clear
echo "✨ Now, let's look at the MODERN approach with C++26 reflection..."
echo ""
echo "Opening github_modern.cpp..."
sleep 1
echo ""
echo "Key points:"
echo " • Just declare your struct"
echo " • ONE line of parsing code"
echo " • C++26 reflection handles everything"
echo " • No manual field extraction!"
echo ""
echo "Press Enter to see the magic..."
read
# Show the struct and the one-liner
echo "The struct (just a plain struct!):"
echo ""
cat github_modern.cpp | grep -A 10 "struct GitHubUser" | head -12
echo ""
echo "The parsing code (ONE LINE!):"
echo ""
echo " GitHubUser user = simdjson::from(simdjson::padded_string(response.text));"
echo ""
echo "🤯 That's it! That's all the parsing code!"
echo ""
echo "Press Enter to compile with C++26 reflection..."
read
# Compile modern
echo "🔨 Compiling modern version with Bloomberg clang..."
echo "Command: clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 -I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes -I../include -I.. github_modern.cpp ../singleheader/simdjson.cpp ../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o modern_demo"
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 -I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes -I../include -I.. github_modern.cpp ../singleheader/simdjson.cpp ../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o modern_demo
echo "✅ Compiled!"
echo ""
echo "🏃 Running modern demo (fetching real GitHub data)..."
echo ""
./modern_demo
echo ""
echo "Press Enter to see side-by-side comparison..."
read
clear
echo "📊 SIDE-BY-SIDE COMPARISON"
echo "========================="
echo ""
echo "Legacy Approach: Modern Approach (C++26):"
echo "---------------- ------------------------"
echo "❌ 30+ lines of parsing code ✅ 1 line of parsing code"
echo "❌ Manual field extraction ✅ Automatic with reflection"
echo "❌ Error-prone ✅ Type-safe"
echo "❌ Hard to maintain ✅ Just update the struct"
echo "❌ Boilerplate for each type ✅ Works for any struct"
echo ""
echo ""
echo "Press Enter to run PERFORMANCE BENCHMARKS..."
read
clear
echo "⚡ DESERIALIZATION PERFORMANCE BENCHMARKS"
echo "========================================"
echo ""
echo "Let's measure the actual JSON → struct deserialization speed..."
echo ""
# Compile benchmarks if not exist
if [ ! -f "./legacy_benchmark" ] || [ ! -f "./modern_benchmark" ]; then
echo "🔨 Compiling benchmark versions..."
clang++ -std=c++20 -O3 -march=native \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_legacy_benchmark.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o legacy_benchmark 2>/dev/null
clang++ -std=c++26 -freflection -O3 -march=native \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_modern_benchmark.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o modern_benchmark 2>/dev/null
fi
echo "🏃 Running legacy benchmark..."
echo ""
./legacy_benchmark
echo ""
echo "Press Enter to run modern benchmark..."
read
echo "🏃 Running modern benchmark..."
echo ""
./modern_benchmark
echo ""
echo "🎉 The future of C++ is here!"
echo ""
echo "Questions?"
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#!/bin/bash
# Conference Demo Script - simdjson One-Liner Magic (WITH SERIALIZATION!)
# Extended demo showcasing both deserialization AND serialization with C++26 reflection
# Check if cpr is built
if [ ! -f "../deps/cpr/build/lib/libcpr.a" ]; then
echo "⚠️ CPR library not found. Building it first..."
echo ""
if [ ! -d "../deps/cpr" ]; then
mkdir -p ../deps
cd ../deps
git clone https://github.com/libcpr/cpr.git
cd cpr && git checkout 1.10.5
cd ../..
fi
cd ../deps/cpr
mkdir -p build && cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ -DCPR_USE_SYSTEM_CURL=ON -DBUILD_SHARED_LIBS=OFF -DCPR_ENABLE_SSL=OFF
make -j4
cd ../../../examples
echo "✅ CPR built successfully!"
echo ""
fi
clear
echo "🚀 simdjson: Complete JSON Round-Trip with C++26 Reflection"
echo "============================================================"
echo ""
echo "Today we'll showcase BOTH deserialization AND serialization!"
echo ""
echo "Press Enter to continue..."
read
# Create a demo program that shows serialization
cat > github_serialization_demo.cpp << 'EOF'
#include <iostream>
#include <iomanip>
#include "simdjson.h"
#include <cpr/cpr.h>
struct GitHubUser {
std::string login;
std::optional<std::string> name;
std::optional<std::string> company;
std::optional<std::string> blog;
std::optional<std::string> location;
std::optional<std::string> email;
std::optional<std::string> bio;
int64_t public_repos;
int64_t followers;
int64_t following;
};
int main() {
std::cout << "🔄 C++26 Reflection: Complete JSON Round-Trip Demo\n";
std::cout << "================================================\n\n";
// Step 1: Fetch real data from GitHub
std::cout << "📡 Fetching GitHub user data...\n";
auto response = cpr::Get(cpr::Url{"https://api.github.com/users/simdjson"});
if (response.status_code != 200) {
std::cerr << "Error: Failed to fetch data\n";
return 1;
}
std::cout << "✅ Received " << response.text.length() << " bytes of JSON\n\n";
// Step 2: Deserialize with ONE LINE
std::cout << "📥 DESERIALIZATION (JSON → Struct)\n";
std::cout << "Code: GitHubUser user = simdjson::from(simdjson::padded_string(response.text));\n\n";
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
// Show the data we parsed
std::cout << "Parsed data:\n";
std::cout << " • Login: " << user.login << "\n";
std::cout << " • Name: " << (user.name.has_value() ? *user.name : "<not set>") << "\n";
std::cout << " • Company: " << (user.company.has_value() ? *user.company : "<not set>") << "\n";
std::cout << " • Location: " << (user.location.has_value() ? *user.location : "<not set>") << "\n";
std::cout << " • Bio: " << (user.bio.has_value() ? *user.bio : "<not set>") << "\n";
std::cout << " • Repos: " << user.public_repos << "\n";
std::cout << " • Followers: " << user.followers << "\n\n";
// Step 3: Modify the data
std::cout << "✏️ Modifying data...\n";
user.followers += 1000; // Wishful thinking!
user.name = "simdjson - JSON at the speed of light"; // Set a name
user.bio = user.bio.value_or("") + " (Now with C++26 reflection!)";
std::cout << " • Added 1000 followers (we can dream!)\n";
std::cout << " • Set organization name\n";
std::cout << " • Updated bio\n\n";
// Step 4: Serialize back to JSON with ONE LINE
std::cout << "📤 SERIALIZATION (Struct → JSON)\n";
std::cout << "Code: std::string json = simdjson::builder::to_json_string(user);\n\n";
auto json_result = simdjson::builder::to_json_string(user);
if (json_result.error()) {
std::cerr << "Serialization error!\n";
return 1;
}
std::string json = json_result.value();
std::cout << "Generated JSON (" << json.length() << " bytes):\n";
// Pretty print first 200 chars
if (json.length() > 200) {
std::cout << json.substr(0, 200) << "...\n\n";
} else {
std::cout << json << "\n\n";
}
// Step 5: Verify round-trip
std::cout << "🔄 ROUND-TRIP VERIFICATION\n";
std::cout << "Parsing our generated JSON back...\n";
GitHubUser user2 = simdjson::from(simdjson::padded_string(json));
std::cout << "✅ Round-trip successful!\n";
std::cout << " • Original followers: " << user.followers << "\n";
std::cout << " • Parsed followers: " << user2.followers << "\n";
std::cout << " • Name set correctly: " << (user2.name.has_value() && *user2.name == *user.name ? "YES" : "NO") << "\n";
std::cout << " • Bio preserved: " << (user2.bio.has_value() ? "YES" : "NO") << "\n\n";
std::cout << "🎉 That's it! Two lines of code for complete JSON handling:\n";
std::cout << " • Deserialization: simdjson::from(...)\n";
std::cout << " • Serialization: simdjson::builder::to_json_string(...)\n";
return 0;
}
EOF
# Create a benchmark that includes serialization
cat > serialization_benchmark.cpp << 'EOF'
#include <iostream>
#include <iomanip>
#include <chrono>
#include "simdjson.h"
#include <map>
struct TestData {
std::string name;
std::vector<int> numbers;
std::map<std::string, double> metrics;
bool active;
std::optional<std::string> description;
};
int main() {
std::cout << "⚡ Serialization Performance Benchmark\n";
std::cout << "=====================================\n\n";
// Create test data
TestData data{
.name = "Performance Test",
.numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
.metrics = {{"latency", 1.23}, {"throughput", 456.78}, {"cpu", 89.01}},
.active = true,
.description = "Testing reflection-based serialization performance"
};
const int iterations = 100000;
// Benchmark serialization
std::cout << "📤 Benchmarking serialization (" << iterations << " iterations)...\n";
auto start = std::chrono::high_resolution_clock::now();
std::string json;
for (int i = 0; i < iterations; i++) {
auto result = simdjson::builder::to_json_string(data);
if (i == 0 && !result.error()) {
json = result.value();
}
}
auto end = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
std::cout << "\nResults:\n";
std::cout << " • Generated JSON size: " << json.length() << " bytes\n";
std::cout << " • Total time: " << duration.count() / 1000.0 << " ms\n";
double time_per_iteration_us = duration.count() / double(iterations);
double time_per_iteration_s = time_per_iteration_us / 1000000.0;
double bytes_per_second = json.length() / time_per_iteration_s;
double mb_per_second = bytes_per_second / (1024.0 * 1024.0);
std::cout << " • Time per serialization: " << std::fixed << std::setprecision(2) << time_per_iteration_us << " μs\n";
std::cout << " • Throughput: " << std::fixed << std::setprecision(2) << mb_per_second << " MB/s\n";
std::cout << "\nGenerated JSON:\n" << json << "\n\n";
// Benchmark deserialization for comparison
std::cout << "📥 Benchmarking deserialization (for comparison)...\n";
simdjson::padded_string padded_json(json);
start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < iterations; i++) {
TestData parsed = simdjson::from(padded_json);
}
end = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
std::cout << "\nResults:\n";
time_per_iteration_us = duration.count() / double(iterations);
time_per_iteration_s = time_per_iteration_us / 1000000.0;
bytes_per_second = json.length() / time_per_iteration_s;
mb_per_second = bytes_per_second / (1024.0 * 1024.0);
std::cout << " • Time per deserialization: " << std::fixed << std::setprecision(2) << time_per_iteration_us << " μs\n";
std::cout << " • Throughput: " << std::fixed << std::setprecision(2) << mb_per_second << " MB/s\n";
std::cout << "\n✅ Both serialization and deserialization work with reflection!\n";
return 0;
}
EOF
echo "📝 First, let's see the traditional approach to serialization..."
echo ""
echo "Press Enter to see manual serialization code..."
read
cat > manual_serialization_example.cpp << 'EOF'
// The OLD way - Manual serialization
std::string serialize_github_user(const GitHubUser& user) {
std::string json = "{";
json += "\"login\":\"" + user.login + "\",";
json += "\"name\":\"" + user.name + "\",";
json += "\"company\":\"" + user.company + "\",";
json += "\"blog\":\"" + user.blog + "\",";
json += "\"location\":\"" + user.location + "\",";
if (user.email.has_value()) {
json += "\"email\":\"" + *user.email + "\",";
}
if (user.bio.has_value()) {
json += "\"bio\":\"" + *user.bio + "\",";
}
json += "\"public_repos\":" + std::to_string(user.public_repos) + ",";
json += "\"followers\":" + std::to_string(user.followers) + ",";
json += "\"following\":" + std::to_string(user.following);
json += "}";
return json;
}
EOF
cat manual_serialization_example.cpp
echo ""
echo "😓 That's error-prone and doesn't handle escaping!"
echo ""
echo "Press Enter to see the MODERN approach..."
read
clear
echo "✨ The MODERN approach with C++26 reflection:"
echo ""
echo "Deserialization:"
echo " GitHubUser user = simdjson::from(json);"
echo ""
echo "Serialization:"
echo " std::string json = simdjson::builder::to_json_string(user);"
echo ""
echo "🤯 That's it! Bidirectional JSON handling in TWO lines!"
echo ""
echo "Press Enter to compile and run the complete demo..."
read
# Compile and run serialization demo
echo "🔨 Compiling serialization demo..."
clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 \
-I../deps/cpr/include -I../deps/cpr/build/cpr_generated_includes \
-I../include -I.. github_serialization_demo.cpp ../singleheader/simdjson.cpp \
../deps/cpr/build/lib/libcpr.a -lcurl -pthread -o serialization_demo
echo "✅ Compiled!"
echo ""
echo "🏃 Running complete round-trip demo..."
echo ""
./serialization_demo
echo ""
echo "Press Enter to run performance benchmarks..."
read
clear
echo "⚡ PERFORMANCE BENCHMARKS"
echo "========================"
echo ""
# Compile benchmark
echo "🔨 Compiling performance benchmark..."
clang++ -std=c++26 -freflection -O3 -march=native \
-DSIMDJSON_STATIC_REFLECTION=1 \
-I../include -I.. serialization_benchmark.cpp ../singleheader/simdjson.cpp \
-pthread -o serialization_benchmark
echo "✅ Compiled!"
echo ""
echo "🏃 Running benchmark..."
echo ""
./serialization_benchmark
echo ""
echo "🎉 Summary:"
echo "==========="
echo "• ONE line for deserialization"
echo "• ONE line for serialization"
echo "• Works with complex nested structures"
echo "• Handles optional fields automatically"
echo "• Type-safe and performant"
echo "• No manual parsing/building code needed!"
echo ""
echo "The future of C++ JSON handling is here! 🚀"
# Cleanup
rm -f manual_serialization_example.cpp
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// Legacy approach - manual JSON parsing with simdjson
#include <simdjson.h>
#include <cpr/cpr.h>
#include <iostream>
#include <string>
#include <optional>
struct GitHubUser {
std::string login;
int64_t id;
std::string name;
std::optional<std::string> company;
std::optional<std::string> location;
int64_t public_repos;
int64_t followers;
};
// Legacy approach - manual parsing with lots of boilerplate
GitHubUser parse_github_user(const std::string& json_str) {
GitHubUser user;
simdjson::ondemand::parser parser;
simdjson::padded_string json(json_str);
simdjson::ondemand::document doc = parser.iterate(json);
// Manual field extraction with error checking
user.login = std::string(doc["login"].get_string().value());
user.id = doc["id"].get_int64().value();
user.name = std::string(doc["name"].get_string().value());
// Handle optional fields
auto company_result = doc["company"];
if (!company_result.is_null()) {
user.company = std::string(company_result.get_string().value());
}
auto location_result = doc["location"];
if (!location_result.is_null()) {
user.location = std::string(location_result.get_string().value());
}
user.public_repos = doc["public_repos"].get_int64().value();
user.followers = doc["followers"].get_int64().value();
return user;
}
int main() {
std::cout << "📚 Legacy Approach - Manual JSON Parsing\n";
std::cout << "========================================\n\n";
// Fetch data from GitHub API
auto response = cpr::Get(
cpr::Url{"https://api.github.com/users/lemire"},
cpr::Header{{"User-Agent", "simdjson-legacy-demo"}}
);
if (response.status_code != 200) {
std::cerr << "❌ Failed to fetch data: HTTP " << response.status_code << "\n";
return 1;
}
try {
// 😓 The old way - manual parsing with lots of code
GitHubUser user = parse_github_user(response.text);
// Display results
std::cout << "GitHub User: " << user.name << " (@" << user.login << ")\n";
std::cout << "ID: " << user.id << "\n";
if (user.company) std::cout << "Company: " << *user.company << "\n";
if (user.location) std::cout << "Location: " << *user.location << "\n";
std::cout << "Public Repos: " << user.public_repos << "\n";
std::cout << "Followers: " << user.followers << "\n";
std::cout << "\n⚠️ Notice all the manual parsing code required!\n";
} catch (const simdjson::simdjson_error& e) {
std::cerr << "❌ Parsing error: " << e.what() << "\n";
return 1;
}
return 0;
}
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// Legacy approach with performance measurement
#include <simdjson.h>
#include <cpr/cpr.h>
#include <iostream>
#include <string>
#include <optional>
#include <chrono>
#include <iomanip>
#include <sstream>
struct GitHubUser {
std::string login;
int64_t id;
std::string name;
std::optional<std::string> company;
std::optional<std::string> location;
int64_t public_repos;
int64_t followers;
};
// Manual parsing function (the old way)
GitHubUser parse_github_user(const std::string& json_str) {
GitHubUser user;
simdjson::ondemand::parser parser;
simdjson::padded_string json(json_str);
simdjson::ondemand::document doc = parser.iterate(json);
// Manual field extraction with error checking
user.login = std::string(doc["login"].get_string().value());
user.id = doc["id"].get_int64().value();
user.name = std::string(doc["name"].get_string().value());
// Handle optional fields
auto company_result = doc["company"];
if (!company_result.is_null()) {
user.company = std::string(company_result.get_string().value());
}
auto location_result = doc["location"];
if (!location_result.is_null()) {
user.location = std::string(location_result.get_string().value());
}
user.public_repos = doc["public_repos"].get_int64().value();
user.followers = doc["followers"].get_int64().value();
return user;
}
// Manual serialization function (the old way)
std::string serialize_github_user(const GitHubUser& user) {
std::ostringstream json;
json << "{";
json << "\"login\":\"" << user.login << "\",";
json << "\"id\":" << user.id << ",";
json << "\"name\":\"" << user.name << "\",";
if (user.company.has_value()) {
json << "\"company\":\"" << *user.company << "\",";
} else {
json << "\"company\":null,";
}
if (user.location.has_value()) {
json << "\"location\":\"" << *user.location << "\",";
} else {
json << "\"location\":null,";
}
json << "\"public_repos\":" << user.public_repos << ",";
json << "\"followers\":" << user.followers;
json << "}";
return json.str();
}
int main() {
std::cout << "📚 Legacy Approach - Deserialization Performance Benchmark\n";
std::cout << "=========================================================\n\n";
// Fetch data from GitHub API
auto response = cpr::Get(
cpr::Url{"https://api.github.com/users/lemire"},
cpr::Header{{"User-Agent", "simdjson-benchmark"}}
);
if (response.status_code != 200) {
std::cerr << "❌ Failed to fetch data: HTTP " << response.status_code << "\n";
return 1;
}
// Warm up
for (int i = 0; i < 100; ++i) {
auto user = parse_github_user(response.text);
}
// Benchmark
const int iterations = 10000;
auto start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < iterations; ++i) {
auto user = parse_github_user(response.text);
// Prevent optimization
if (i == 0) {
std::cout << "Parsing: " << user.name << " (@" << user.login << ")\n\n";
}
}
auto end = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
// Calculate performance metrics
double time_per_parse = duration.count() / static_cast<double>(iterations);
double bytes_per_parse = response.text.size();
double gb_per_second = (bytes_per_parse * iterations) / (duration.count() * 1000.0);
std::cout << "📊 Deserialization Performance Results:\n";
std::cout << " • JSON size: " << bytes_per_parse << " bytes\n";
std::cout << " • Iterations: " << iterations << "\n";
std::cout << " • Total time: " << duration.count() / 1000.0 << " ms\n";
std::cout << " • Time per deserialization: " << std::fixed << std::setprecision(2) << time_per_parse << " μs\n";
std::cout << " • Deserialization speed: " << std::fixed << std::setprecision(2) << gb_per_second << " GB/s\n";
// Now benchmark serialization
std::cout << "\n📝 Serialization Performance Benchmark\n";
std::cout << "=====================================\n\n";
// Parse once to get a user object
auto user = parse_github_user(response.text);
// Warm up serialization
for (int i = 0; i < 100; ++i) {
auto json_str = serialize_github_user(user);
}
// Benchmark serialization
start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < iterations; ++i) {
auto json_str = serialize_github_user(user);
// Prevent optimization
if (i == 0) {
std::cout << "Serialized JSON size: " << json_str.length() << " bytes\n\n";
}
}
end = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
// Calculate serialization performance metrics
time_per_parse = duration.count() / static_cast<double>(iterations);
double serialized_size = serialize_github_user(user).length();
gb_per_second = (serialized_size * iterations) / (duration.count() * 1000.0);
std::cout << "📊 Serialization Performance Results:\n";
std::cout << " • JSON size: " << serialized_size << " bytes\n";
std::cout << " • Iterations: " << iterations << "\n";
std::cout << " • Total time: " << duration.count() / 1000.0 << " ms\n";
std::cout << " • Time per serialization: " << std::fixed << std::setprecision(2) << time_per_parse << " μs\n";
std::cout << " • Serialization speed: " << std::fixed << std::setprecision(2) << gb_per_second << " GB/s\n";
std::cout << "\n⚠️ Note: Manual serialization with string concatenation\n";
return 0;
}
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// Modern approach - C++26 reflection with simdjson
// Compile with Bloomberg clang fork:
// clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 ...
#include <simdjson.h>
#include <simdjson/convert.h>
#include <cpr/cpr.h>
#include <iostream>
#include <string>
#include <optional>
// 🎯 JUST DECLARE YOUR STRUCT - THAT'S IT!
// No serialization code needed with C++26 reflection
struct GitHubUser {
std::string login;
int64_t id;
std::string name;
std::optional<std::string> company;
std::optional<std::string> location;
int64_t public_repos;
int64_t followers;
};
// NO BOILERPLATE CODE NEEDED! 🎉
int main() {
std::cout << "✨ Modern Approach - C++26 Reflection\n";
std::cout << "=====================================\n\n";
// Fetch data from GitHub API
auto response = cpr::Get(
cpr::Url{"https://api.github.com/users/lemire"},
cpr::Header{{"User-Agent", "simdjson-modern-demo"}}
);
if (response.status_code != 200) {
std::cerr << "❌ Failed to fetch data: HTTP " << response.status_code << "\n";
return 1;
}
try {
// ✨ THE MAGIC - Just one line, no boilerplate!
// C++26 reflection handles everything automatically
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
// Display results
std::cout << "GitHub User: " << user.name << " (@" << user.login << ")\n";
std::cout << "ID: " << user.id << "\n";
if (user.company) std::cout << "Company: " << *user.company << "\n";
if (user.location) std::cout << "Location: " << *user.location << "\n";
std::cout << "Public Repos: " << user.public_repos << "\n";
std::cout << "Followers: " << user.followers << "\n";
std::cout << "\n🚀 That's it! No manual parsing code needed!\n";
std::cout << " C++26 reflection generates everything automatically.\n";
} catch (const simdjson::simdjson_error& e) {
std::cerr << "❌ Parsing error: " << e.what() << "\n";
return 1;
}
return 0;
}
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// Modern approach with performance measurement - C++26 reflection
#include <simdjson.h>
#include <simdjson/convert.h>
#include <cpr/cpr.h>
#include <iostream>
#include <string>
#include <optional>
#include <chrono>
#include <iomanip>
#include <sstream>
// Just declare your struct - reflection handles the rest!
struct GitHubUser {
std::string login;
int64_t id;
std::string name;
std::optional<std::string> company;
std::optional<std::string> location;
int64_t public_repos;
int64_t followers;
};
int main() {
std::cout << "✨ Modern Approach - Deserialization Performance Benchmark (C++26)\n";
std::cout << "================================================================\n\n";
// Fetch data from GitHub API
auto response = cpr::Get(
cpr::Url{"https://api.github.com/users/lemire"},
cpr::Header{{"User-Agent", "simdjson-benchmark"}}
);
if (response.status_code != 200) {
std::cerr << "❌ Failed to fetch data: HTTP " << response.status_code << "\n";
return 1;
}
// Warm up
for (int i = 0; i < 100; ++i) {
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
}
// Benchmark
const int iterations = 10000;
auto start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < iterations; ++i) {
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
// Prevent optimization
if (i == 0) {
std::cout << "Parsing: " << user.name << " (@" << user.login << ")\n\n";
}
}
auto end = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
// Calculate performance metrics
double time_per_parse = duration.count() / static_cast<double>(iterations);
double bytes_per_parse = response.text.size();
double gb_per_second = (bytes_per_parse * iterations) / (duration.count() * 1000.0);
std::cout << "📊 Deserialization Performance Results:\n";
std::cout << " • JSON size: " << bytes_per_parse << " bytes\n";
std::cout << " • Iterations: " << iterations << "\n";
std::cout << " • Total time: " << duration.count() / 1000.0 << " ms\n";
std::cout << " • Time per deserialization: " << std::fixed << std::setprecision(2) << time_per_parse << " μs\n";
std::cout << " • Deserialization speed: " << std::fixed << std::setprecision(2) << gb_per_second << " GB/s\n";
std::cout << "\n🚀 Same performance, just ONE line of deserialization code!\n";
// Serialization note
std::cout << "\n📝 Serialization with Reflection\n";
std::cout << "================================\n\n";
std::cout << "⚠️ NOTE: simdjson doesn't yet support reflection-based serialization.\n";
std::cout << " The `simdjson::to` function is not yet implemented.\n";
std::cout << " This is a future enhancement that would provide:\n";
std::cout << " • One-line serialization: simdjson::to<std::string>(user)\n";
std::cout << " • Automatic JSON generation from C++ structs\n";
std::cout << " • No manual string building required\n";
std::cout << "\n";
std::cout << " For now, serialization still requires manual implementation,\n";
std::cout << " but deserialization is fully automated with reflection! 🎉\n";
return 0;
}
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#include <iostream>
#include <iomanip>
#include "simdjson.h"
#include <cpr/cpr.h>
struct GitHubUser {
std::string login;
std::optional<std::string> name;
std::optional<std::string> company;
std::optional<std::string> blog;
std::optional<std::string> location;
std::optional<std::string> email;
std::optional<std::string> bio;
int64_t public_repos;
int64_t followers;
int64_t following;
};
int main() {
std::cout << "🔄 C++26 Reflection: Complete JSON Round-Trip Demo\n";
std::cout << "================================================\n\n";
// Step 1: Fetch real data from GitHub
std::cout << "📡 Fetching GitHub user data...\n";
auto response = cpr::Get(cpr::Url{"https://api.github.com/users/simdjson"});
if (response.status_code != 200) {
std::cerr << "Error: Failed to fetch data\n";
return 1;
}
std::cout << "✅ Received " << response.text.length() << " bytes of JSON\n\n";
// Step 2: Deserialize with ONE LINE
std::cout << "📥 DESERIALIZATION (JSON → Struct)\n";
std::cout << "Code: GitHubUser user = simdjson::from(simdjson::padded_string(response.text));\n\n";
GitHubUser user = simdjson::from(simdjson::padded_string(response.text));
// Show the data we parsed
std::cout << "Parsed data:\n";
std::cout << " • Login: " << user.login << "\n";
std::cout << " • Name: " << (user.name.has_value() ? *user.name : "<not set>") << "\n";
std::cout << " • Company: " << (user.company.has_value() ? *user.company : "<not set>") << "\n";
std::cout << " • Location: " << (user.location.has_value() ? *user.location : "<not set>") << "\n";
std::cout << " • Bio: " << (user.bio.has_value() ? *user.bio : "<not set>") << "\n";
std::cout << " • Repos: " << user.public_repos << "\n";
std::cout << " • Followers: " << user.followers << "\n\n";
// Step 3: Modify the data
std::cout << "✏️ Modifying data...\n";
user.followers += 1000; // Wishful thinking!
user.name = "simdjson - JSON at the speed of light"; // Set a name
user.bio = user.bio.value_or("") + " (Now with C++26 reflection!)";
std::cout << " • Added 1000 followers (we can dream!)\n";
std::cout << " • Set organization name\n";
std::cout << " • Updated bio\n\n";
// Step 4: Serialize back to JSON with ONE LINE
std::cout << "📤 SERIALIZATION (Struct → JSON)\n";
std::cout << "Code: std::string json = simdjson::builder::to_json_string(user);\n\n";
auto json_result = simdjson::builder::to_json_string(user);
if (json_result.error()) {
std::cerr << "Serialization error!\n";
return 1;
}
std::string json = json_result.value();
std::cout << "Generated JSON (" << json.length() << " bytes):\n";
// Pretty print first 200 chars
if (json.length() > 200) {
std::cout << json.substr(0, 200) << "...\n\n";
} else {
std::cout << json << "\n\n";
}
// Step 5: Verify round-trip
std::cout << "🔄 ROUND-TRIP VERIFICATION\n";
std::cout << "Parsing our generated JSON back...\n";
GitHubUser user2 = simdjson::from(simdjson::padded_string(json));
std::cout << "✅ Round-trip successful!\n";
std::cout << " • Original followers: " << user.followers << "\n";
std::cout << " • Parsed followers: " << user2.followers << "\n";
std::cout << " • Name set correctly: " << (user2.name.has_value() && *user2.name == *user.name ? "YES" : "NO") << "\n";
std::cout << " • Bio preserved: " << (user2.bio.has_value() ? "YES" : "NO") << "\n\n";
std::cout << "🎉 That's it! Two lines of code for complete JSON handling:\n";
std::cout << " • Deserialization: simdjson::from(...)\n";
std::cout << " • Serialization: simdjson::builder::to_json_string(...)\n";
return 0;
}
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// Complete JSON Round-Trip Demo with C++26 Reflection
// Compile with: clang++ -std=c++26 -freflection -DSIMDJSON_STATIC_REFLECTION=1 reflection_roundtrip_demo.cpp ../singleheader/simdjson.cpp -o reflection_roundtrip_demo
#include <iostream>
#include <vector>
#include <optional>
#include "simdjson.h"
// Define our data structure - just a plain struct!
struct Product {
std::string name;
double price;
std::vector<std::string> tags;
std::optional<std::string> description;
bool in_stock;
};
int main() {
std::cout << "🔄 simdjson C++26 Reflection Round-Trip Demo\n";
std::cout << "============================================\n\n";
// Original JSON data
const char* json_data = R"({
"name": "High-Performance JSON Parser",
"price": 0.0,
"tags": ["C++", "performance", "json", "reflection"],
"description": "The fastest JSON parser with C++26 reflection support",
"in_stock": true
})";
std::cout << "📄 Original JSON:\n" << json_data << "\n\n";
// Step 1: Deserialize JSON to struct with ONE line
std::cout << "📥 Deserializing JSON → Struct...\n";
Product product = simdjson::from(simdjson::padded_string(json_data));
std::cout << "✅ Deserialized successfully!\n";
std::cout << " • Name: " << product.name << "\n";
std::cout << " • Price: $" << product.price << "\n";
std::cout << " • Tags: ";
for (const auto& tag : product.tags) {
std::cout << tag << " ";
}
std::cout << "\n • In stock: " << (product.in_stock ? "Yes" : "No") << "\n\n";
// Step 2: Modify the data
std::cout << "✏️ Modifying data...\n";
product.price = 99.99; // It's worth something now!
product.tags.push_back("C++26");
product.description = "Now with serialization support!";
std::cout << " • Changed price to $99.99\n";
std::cout << " • Added 'C++26' tag\n";
std::cout << " • Updated description\n\n";
// Step 3: Serialize struct back to JSON with ONE line
std::cout << "📤 Serializing Struct → JSON...\n";
auto json_result = simdjson::builder::to_json_string(product);
if (json_result.error()) {
std::cerr << "❌ Serialization failed!\n";
return 1;
}
std::string new_json = json_result.value();
std::cout << "✅ Serialized successfully!\n\n";
std::cout << "📄 Generated JSON:\n" << new_json << "\n\n";
// Step 4: Verify round-trip by parsing again
std::cout << "🔍 Verifying round-trip...\n";
Product product2 = simdjson::from(simdjson::padded_string(new_json));
std::cout << "✅ Round-trip successful!\n";
std::cout << " • Price preserved: $" << product2.price << "\n";
std::cout << " • New tag present: "
<< (std::find(product2.tags.begin(), product2.tags.end(), "C++26") != product2.tags.end() ? "Yes" : "No")
<< "\n";
std::cout << " • Description updated: " << (product2.description.has_value() ? "Yes" : "No") << "\n\n";
std::cout << "🎉 That's it! Complete JSON handling in just 2 lines:\n";
std::cout << " • Deserialize: auto obj = simdjson::from(json);\n";
std::cout << " • Serialize: auto json = simdjson::builder::to_json_string(obj);\n\n";
std::cout << "⚡ No manual parsing, no boilerplate, just pure C++26 magic!\n";
return 0;
}
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#include <iostream>
#include <iomanip>
#include <chrono>
#include "simdjson.h"
#include <map>
struct TestData {
std::string name;
std::vector<int> numbers;
std::map<std::string, double> metrics;
bool active;
std::optional<std::string> description;
};
int main() {
std::cout << "⚡ Serialization Performance Benchmark\n";
std::cout << "=====================================\n\n";
// Create test data
TestData data{
.name = "Performance Test",
.numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10},
.metrics = {{"latency", 1.23}, {"throughput", 456.78}, {"cpu", 89.01}},
.active = true,
.description = "Testing reflection-based serialization performance"
};
const int iterations = 100000;
// Benchmark serialization
std::cout << "📤 Benchmarking serialization (" << iterations << " iterations)...\n";
auto start = std::chrono::high_resolution_clock::now();
std::string json;
for (int i = 0; i < iterations; i++) {
auto result = simdjson::builder::to_json_string(data);
if (i == 0 && !result.error()) {
json = result.value();
}
}
auto end = std::chrono::high_resolution_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
std::cout << "\nResults:\n";
std::cout << " • Generated JSON size: " << json.length() << " bytes\n";
std::cout << " • Total time: " << duration.count() / 1000.0 << " ms\n";
double time_per_iteration_us = duration.count() / double(iterations);
double time_per_iteration_s = time_per_iteration_us / 1000000.0;
double bytes_per_second = json.length() / time_per_iteration_s;
double mb_per_second = bytes_per_second / (1024.0 * 1024.0);
std::cout << " • Time per serialization: " << std::fixed << std::setprecision(2) << time_per_iteration_us << " μs\n";
std::cout << " • Throughput: " << std::fixed << std::setprecision(2) << mb_per_second << " MB/s\n";
std::cout << "\nGenerated JSON:\n" << json << "\n\n";
// Benchmark deserialization for comparison
std::cout << "📥 Benchmarking deserialization (for comparison)...\n";
simdjson::padded_string padded_json(json);
start = std::chrono::high_resolution_clock::now();
for (int i = 0; i < iterations; i++) {
TestData parsed = simdjson::from(padded_json);
}
end = std::chrono::high_resolution_clock::now();
duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
std::cout << "\nResults:\n";
time_per_iteration_us = duration.count() / double(iterations);
time_per_iteration_s = time_per_iteration_us / 1000000.0;
bytes_per_second = json.length() / time_per_iteration_s;
mb_per_second = bytes_per_second / (1024.0 * 1024.0);
std::cout << " • Time per deserialization: " << std::fixed << std::setprecision(2) << time_per_iteration_us << " μs\n";
std::cout << " • Throughput: " << std::fixed << std::setprecision(2) << mb_per_second << " MB/s\n";
std::cout << "\n✅ Both serialization and deserialization work with reflection!\n";
return 0;
}