fio: Flexible I/O Tester for QNX
Introduction to fio
fio (Flexible I/O tester) is the industry-standard tool for storage performance benchmarking and stress testing. Created by Jens Axboe (Linux kernel block layer maintainer), fio provides sophisticated I/O workload simulation capabilities that go far beyond simple sequential read/write tests.
Originally supporting Linux and other Unix-like systems, fio has become essential for:
- Storage Performance Validation: Characterizing SSD, HDD, and NVMe performance
- Filesystem Benchmarking: Testing different filesystem implementations
- Hardware Verification: Stress testing storage controllers and devices
- Performance Regression Testing: Automated testing in CI/CD pipelines
Why Port fio to QNX?
QNX Neutrino RTOS is widely used in automotive, industrial, and medical systems where storage performance is critical. However, the ecosystem lacks robust benchmarking tools comparable to what Linux offers. Porting fio to QNX provides:
Standardized Benchmarking: Compare QNX storage performance against Linux and other platforms using the same tool
Advanced Test Scenarios: fio supports complex I/O patterns (random, sequential, mixed), queue depths, and multiple threads
Automotive Validation: Critical for automotive storage systems where performance requirements are stringent (e.g., ADAS data logging, infotainment storage)
Development Efficiency: Engineers familiar with fio from Linux can use the same workflows on QNX
Supported Operating Systems
The fio codebase originally supported cross-compilation for:
- Linux - Primary development platform
- Android - Mobile and embedded testing
- AIX - IBM’s Unix variant
- OpenBSD / NetBSD - BSD variants
- FreeBSD - FreeBSD systems
- SunOS / Solaris - Oracle’s Unix
- CYGWIN - POSIX layer on Windows
With my contribution, QNX Neutrino RTOS is now officially supported.
Porting Challenges
Adapting fio to QNX required addressing several platform-specific differences:
1. Thread and Process Management
QNX uses POSIX threads but with subtle differences in scheduling and priority management:
// QNX-specific thread priority handling
struct sched_param param;
param.sched_priority = priority;
pthread_setschedparam(pthread_self(), SCHED_RR, ¶m);
2. Memory Management
QNX’s memory management differs from Linux, particularly regarding:
mmap()behavior and flags- Shared memory semantics
- Memory locking for real-time performance
3. I/O Subsystem Differences
AIO (Asynchronous I/O): QNX implements POSIX AIO differently than Linux’s io_uring or libaio
Direct I/O: The O_DIRECT flag behaves differently; QNX requires careful alignment
Resource Managers: QNX’s unique resource manager architecture affects device access patterns
4. System Calls and APIs
Several Linux-specific system calls needed QNX equivalents:
- Timer interfaces
- System statistics gathering
- CPU affinity settings
- Clock sources for high-precision timing
5. Build System Integration
Integrating QNX’s build environment (qcc compiler, QNX-specific libraries) with fio’s existing configure/make infrastructure required:
# QNX-specific build configuration
./configure --build-static --cc=qcc --extra-cflags="-Vgcc_ntox86_64" \
--disable-native --disable-optimizations
Implementation Details
My patch adds QNX support through:
OS Detection: Extended the configure script to detect QNX Neutrino
QNX-Specific Code Paths: Added conditional compilation for QNX-specific implementations
Engine Adaptations: Modified I/O engines to work with QNX’s resource managers
Timer Accuracy: Implemented high-resolution timing using QNX’s ClockCycles() API
View the complete implementation in my GitHub branch.
Building fio for QNX
Prerequisites
- QNX Software Development Platform (SDP) 7.0 or later
- QNX target configured (x86_64 or AArch64)
- Cross-compilation environment set up
Build Steps
# Source QNX environment
source ~/qnx700/qnxsdp-env.sh
# Clone the repository
git clone -b 3.37_for_qnx https://github.com/huangweiliang/fio_for_qnx.git
cd fio_for_qnx
# Configure for QNX
./configure --build-static --cc=qcc \
--extra-cflags="-Vgcc_ntoaarch64le" \
--disable-native
# Build
make -j$(nproc)
# Transfer to QNX target
scp fio qnxuser@target:/usr/local/bin/
Example Workloads on QNX
Sequential Read Test
fio --name=seq-read --ioengine=sync --rw=read --bs=1M \
--size=1G --numjobs=1 --filename=/dev/hd0t77
Random Write with Multiple Threads
fio --name=rand-write --ioengine=psync --rw=randwrite \
--bs=4k --size=512M --numjobs=4 --filename=/fs/test.dat
Mixed Read/Write Workload
fio --name=mixed-rw --ioengine=psync --rw=randrw \
--rwmixread=70 --bs=4k --size=1G --numjobs=2 \
--filename=/fs/mixed.dat
Real-World Applications in Automotive
In automotive QNX systems, fio helps validate:
ADAS Data Logging: Ensuring storage can sustain 100+ MB/s write rates for camera and sensor data
Boot Time Optimization: Measuring filesystem read performance during system startup
Flash Endurance Testing: Long-running stress tests to validate eMMC/UFS reliability
Performance Regression: Automated testing before software releases
Performance Considerations
When using fio on QNX:
Real-Time Priority: Run fio with appropriate priority to avoid interference from other processes
Memory Locking: Use --mem-type=mlock to prevent page faults during testing
Direct I/O: Test both buffered and direct I/O to understand caching effects
Resource Manager Overhead: Account for QNX resource manager overhead in results
Future Enhancements
Potential improvements for the QNX port:
- Support for QNX-specific block device features
- Integration with QNX’s filesystem statistics
- Support for io_uring-like async I/O mechanisms if QNX adds them
- Better integration with QNX’s adaptive partitioning scheduler
Conclusion
Bringing fio to QNX provides the embedded systems community with a powerful, standardized tool for storage performance validation. Whether you’re developing automotive systems, industrial controllers, or medical devices, fio enables rigorous performance testing that matches industry best practices.
The port demonstrates that with careful adaptation, tools from the broader Linux ecosystem can enhance the QNX development experience while maintaining the real-time guarantees and reliability QNX is known for.
Resources
Here is patch from my branch to support the QNX OS.