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https://github.com/yse/easy_profiler
Lightweight profiler library for c++
https://github.com/yse/easy_profiler
performance profiler toolkit
Last synced: about 15 hours ago
JSON representation
Lightweight profiler library for c++
- Host: GitHub
- URL: https://github.com/yse/easy_profiler
- Owner: yse
- License: mit
- Created: 2016-02-17T12:01:15.000Z (almost 9 years ago)
- Default Branch: develop
- Last Pushed: 2024-09-20T16:31:47.000Z (3 months ago)
- Last Synced: 2024-10-29T17:50:18.846Z (about 1 month ago)
- Topics: performance, profiler, toolkit
- Language: C++
- Homepage:
- Size: 3.07 MB
- Stars: 2,171
- Watchers: 72
- Forks: 188
- Open Issues: 87
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesomecpp - easy_profiler - - lightweight profiler library for C++. (Profiling)
- awesome-projects - github - Lightweight cross-platform profiler library for C++. (Libraries / Benchmark / Profile)
- AwesomeCppGameDev - easy_profiler
- awesome-code-for-gamedev - yse/easy_profiler - Lightweight profiler library for c++ (Profiling / fake data)
README
# easy_profiler [](https://github.com/yse/easy_profiler/releases/tag/v2.1.0) [](https://github.com/yse/easy_profiler)
[](https://ci.appveyor.com/project/yse/easy-profiler/branch/develop)
[](https://opensource.org/licenses/MIT)
[](https://www.apache.org/licenses/LICENSE-2.0)
1. [About](#about)
2. [Key features](#key-features)
3. [Usage](#usage)
- [Integration](#integration)
- [General build system](#general)
- [CMake](#if-using-cmake)
- [Inserting blocks](#inserting-blocks)
- [Storing variables](#storing-variables)
- [Collect profiling data](#collect-profiling-data)
- [Streaming over network](#streaming-over-network)
- [Dump to file](#dump-to-file)
- [Note about thread context-switch events](#note-about-thread-context-switch-events)
- [Profiling application startup](#profiling-application-startup)
4. [Build](#build)
- [Linux](#linux)
- [MacOS](#macos)
- [Windows](#windows)
- [QNX](#qnx)
- [Android](#android)
5. [Notes about major release 1.x -> 2.x and 2.x -> 3.x](#status)
6. [License](#license)
# About
Lightweight cross-platform profiler library for c++
You can profile any function in you code. Furthermore this library provide measuring time of any block of code.
For example, information for 12 millions of blocks is using less than 300Mb of memory.
Working profiler slows your application execution for only 1-2%.
_Average overhead per block is about 15ns/block (tested on Intel Core i7-5930K 3.5GHz, Win7)_
Disabled profiler will not affect your application execution in any way. You can leave it in your Release build
and enable it at run-time at any moment during application launch to see what is happening at the moment.
Also the library can capture system's context switch events between threads. Context switch information includes
duration, target thread id, thread owner process id, thread owner process name.
You can see the results of measuring in simple GUI application which provides full statistics and renders beautiful time-line.
_Profiling CryEngine SDK example_
_New UI style in version 2.0_
# Key features
- Extremely low overhead
- Low additional memory usage
- Cross-platform
- Profiling over network
- Capture thread context-switch events
- Store user variables (both single values and arrays)
- GUI could be connected to an application which is already profiling (so you can profile initialization of your application)
- Monitor main thread fps at real-time in GUI even if profiling is disabled or draw your own HUD/fps-plot directly in your application using data provided by profiler
- Save a snapshot (selected area) of profiled data from file
- Add bookmarks at any place on the timeline
- Configurable timer type with CMakeLists or preprocessor macros
# Usage
## Integration
### General
First of all you can specify path to include directory which contains `include/profiler` directory and define macro `BUILD_WITH_EASY_PROFILER`.
For linking with easy_profiler you can specify path to library.
### If using CMake
If you are using `cmake` set `CMAKE_PREFIX_PATH` to `lib/cmake/easy_profiler` directory (from [release](https://github.com/yse/easy_profiler/releases) package) and use function `find_package(easy_profiler)` with `target_link_libraries(... easy_profiler)`.
Example:
``` cmake
project(my_application)
set(SOURCES
main.cpp
)
# CMAKE_PREFIX_PATH should be set to /lib/cmake/easy_profiler
find_package(easy_profiler REQUIRED) # STEP 1 #########################
add_executable(my_application ${SOURCES})
target_link_libraries(my_application easy_profiler) # STEP 2 ##########
```
## Inserting blocks
Example of usage.
```cpp
#include
void foo() {
EASY_FUNCTION(profiler::colors::Magenta); // Magenta block with name "foo"
EASY_BLOCK("Calculating sum"); // Begin block with default color == Amber100
int sum = 0;
for (int i = 0; i < 10; ++i) {
EASY_BLOCK("Addition", profiler::colors::Red); // Scoped red block (no EASY_END_BLOCK needed)
sum += i;
}
EASY_END_BLOCK; // End of "Calculating sum" block
EASY_BLOCK("Calculating multiplication", profiler::colors::Blue500); // Blue block
int mul = 1;
for (int i = 1; i < 11; ++i)
mul *= i;
//EASY_END_BLOCK; // This is not needed because all blocks are ended on destructor when closing braces met
}
void bar() {
EASY_FUNCTION(0xfff080aa); // Function block with custom ARGB color
}
void baz() {
EASY_FUNCTION(); // Function block with default color == Amber100
}
```
EasyProfiler is using Google Material-Design colors palette, but you can use custom colors in ARGB format (like shown in example above).
The default color is `Amber100` (it is used when you do not specify color explicitly).
## Storing variables
Example of storing variables:
```cpp
#include
#include // EASY_VALUE, EASY_ARRAY are defined here
class Object {
Vector3 m_position; // Let's suppose Vector3 is a struct { float x, y, z; };
unsigned int m_id;
public:
void act() {
EASY_FUNCTION(profiler::colors::Cyan);
// Dump variables values
constexpr auto Size = sizeof(Vector3) / sizeof(float);
EASY_VALUE("id", m_id);
EASY_ARRAY("position", &m_position.x, Size, profiler::color::Red);
// Do something ...
}
void loop(uint32_t N) {
EASY_FUNCTION();
EASY_VALUE("N", N, EASY_VIN("N")); /* EASY_VIN is used here to ensure
that this value id will always be
the same, because the address of N
can change */
for (uint32_t i = 0; i < N; ++i) {
// Do something
}
}
};
```
## Collect profiling data
There are two ways to collect profiling data: streaming over network and dumping data to file.
### Streaming over network
This is the most preferred and convenient method in many cases.
1. (In profiled app) Invoke `profiler::startListen()`. This will start new thread to listen `28077` port for the start-capture-signal from profiler_gui.
2. (In UI) Connect profiler_gui to your application using `hostname` or `IP-address`.
3. (In UI) Press `Start capture` button in profiler_gui.
4. (In UI) Press `Stop capture` button in profiler_gui to stop capturing and wait until profiled data will be passed over network.
5. (Optional step)(In profiled app) Invoke `profiler::stopListen()` to stop listening.
Example:
```cpp
void main() {
profiler::startListen();
/* do work */
}
```
### Dump to file
1. (Profiled application) Start capturing by putting `EASY_PROFILER_ENABLE` macro somewhere into the code.
2. (Profiled application) Dump profiled data to file in any place you want by `profiler::dumpBlocksToFile("test_profile.prof")` function.
Example:
```cpp
void main() {
EASY_PROFILER_ENABLE;
/* do work */
profiler::dumpBlocksToFile("test_profile.prof");
}
```
### Note about thread context-switch events
To capture a thread context-switch events you need:
- On Windows: launch your application "as Administrator"
- On Linux: you can launch special `systemtap` script with root privileges as follow (example on Fedora):
```bash
#stap -o /tmp/cs_profiling_info.log scripts/context_switch_logger.stp name APPLICATION_NAME
```
APPLICATION_NAME - name of your application
There are some known issues on a linux based systems (for more information see [wiki](https://github.com/yse/easy_profiler/wiki/Known-bugs-and-issues))
### Profiling application startup
To profile your application startup (when using [network](#streaming-over-network) method) add `EASY_PROFILER_ENABLE` macro into the code together with `profiler::startListen()`.
Example:
```cpp
void main() {
EASY_PROFILER_ENABLE;
profiler::startListen();
/* do work */
}
```
This will allow you to collect profiling data before profiler_gui connection. profiler_gui will automatically display capturing dialog window after successful connection to the profiled application.
# Build
## Prerequisites
* CMake 3.0 or higher
* Compiler with c++11 support
* for Unix systems: compiler with `thread_local` support is **highly recommended**: _GCC >=4.8_, _Clang >=3.3_
Additional requirements for GUI:
* Qt 5.3.0 or higher
## Linux
```bash
$ mkdir build
$ cd build
$ cmake -DCMAKE_BUILD_TYPE="Release" ..
$ make
```
## MacOS
```bash
$ mkdir build
$ cd build
$ cmake -DCMAKE_CXX_COMPILER=g++-5 -DCMAKE_C_COMPILER=gcc-5 -DCMAKE_BUILD_TYPE="Release" ..
$ make
```
## Windows
If you are using QtCreator IDE you can just open `CMakeLists.txt` file in root directory.
If you are using Visual Studio you can generate solution by cmake generator command.
Examples shows how to generate Win64 solution for Visual Studio 2013. To generate for another version use proper cmake generator (-G "name of generator").
### Way 1
Specify path to cmake scripts in Qt6 dir (usually in lib/cmake subdir) and execute cmake generator command,
for example:
```batch
$ mkdir build
$ cd build
$ cmake -DCMAKE_PREFIX_PATH="C:\Qt\6.7.2\msvc2013_64\lib\cmake" .. -G "Visual Studio 12 2013 Win64"
```
### Way 2
Create system variable "Qt6Widgets_DIR" and set it's value to "[path-to-Qt6-binaries]\lib\cmake\Qt6Widgets".
For example, "C:\Qt\5.3\msvc2013_64\lib\cmake\Qt6Widgets".
And then run cmake generator as follows:
```batch
$ mkdir build
$ cd build
$ cmake .. -G "Visual Studio 12 2013 Win64"
```
## QNX
```bash
$ souce $QNX_ENVIRONMENT
$ mkdir build
$ cd build
$ cmake -DCMAKE_TOOLCHAIN_FILE=/path/to/QNXToolchain.cmake ..
```
For more information and example for `QNXToolchain.cmake` see [this PR](https://github.com/yse/easy_profiler/pull/145)
## Android
You can build native library for android by using NDK and standalone toolchain. See [comment for this PR](https://github.com/yse/easy_profiler/pull/137#issuecomment-436167127) to get a more detailed instruction.
# Status
## Migration 1.x --> 2.x
Branch `develop` contains all v2.0.0 features and new UI style.
Please, note that .prof file header has changed in v2.0.0:
```cpp
struct EasyFileHeader {
uint32_t signature = 0;
uint32_t version = 0;
profiler::processid_t pid = 0;
int64_t cpu_frequency = 0;
profiler::timestamp_t begin_time = 0;
profiler::timestamp_t end_time = 0;
// Changed order of memory_size and blocks_number relative to v1.3.0
uint64_t memory_size = 0;
uint64_t descriptors_memory_size = 0;
uint32_t total_blocks_number = 0;
uint32_t total_descriptors_number = 0;
};
```
## Migration 2.x --> 3.x
There are some functions in the 2.x release that conflicts with system functions, for example `now()`. You can find more details in the related [issue](https://github.com/yse/easy_profiler/issues/215) and [PR](https://github.com/yse/easy_profiler/pull/188)
# License
Licensed under either of
- MIT license ([mit.lic](mit.lic) or http://opensource.org/licenses/MIT)
- Apache License, Version 2.0 ([apache.lic](apache.lic) or http://www.apache.org/licenses/LICENSE-2.0)
at your option.