Motivation: - Debuggability. Accessing the current test/bench defines from inside gdb was basically impossible for some dumb macro-debug-info reason I can't figure out. In theory, GCC provides a .debug_macro section when compiled with -g3. I can see this section with objdump --dwarf=macro, but somehow gdb can't seem to find any definitions? I'm guess the #line source remapping is causing things to break somehow... Though even if macro-debugging gets fixed, which would be valuable, accessing defines in the current test/bench runner can trigger quite a bit of hidden machinery. This risks side-effects, which is never great when debugging. All of this is quite annoying because the test/bench defines is usually the most important piece of information when debugging! This replaces the previous hidden define machinery with simple global variables, which gdb can access no problem. - Also when debugging we no longer awkwardly step into the test_define function all the time! - In theory, global variables, being a simple memory access, should be quite a bit faster than the hidden define machinery. This does matter because running tests _is_ a dev bottleneck. In practice though, any performance benefit is below the noise floor, which isn't too surprising (~630s +-~20s). - Using global variables for defines simplifies the test/bench runner quite a bit. Though some of the previous complexity was due to a whole internal define caching system, which was supposed to lazily evaluate test defines to avoid evaluating defines we don't use. This all proved to be useless because the first thing we do when running each test is evaluate all defines to generate the test id (lol). So now, instead of lazily evaluating and caching defines, we just generate global variables during compilation and evaluate all defines for each test permutation immediately before running. This relies heavily on __attribute__((weak)) symbols, and lets the linker really shine. As a funny perk this also effectively interns all test/bench defines by the address of the resulting global variable. So we don't even need to do string comparisons when mapping suite-level defines to the runner-level defines. --- Perhaps the more interesting thing to note, is the change in strategy in how we actually evaluate the test defines. This ends up being a surprisingly tricky problem, due to the potential of mutual recursion between our defines. Previously, because our define machinery was lazy, we could just evaluate each define on demand. If a define required another define, it would lazily trigger another evaluation, implicitly recursing through C's stack. If cyclic, this would eventually lead to a stack overflow, but that's ok because it's a user error to let this happen. The "correct" way, at least in terms of being computationally optimal, would be to topologically sort the defines and evaluate the resulting tree from the leaves up. But I ain't got time for that, so the solution here is equal parts hacky, simple, and effective. Basically, we just evaluate the defines repeatedly until they stop changing: - Initially, mutually recursive defines may read the uninitialized values of their dependencies, and end up with some arbitrarily wrong result. But as the defines are repeatedly evaluated, assuming no cycles, the correct results should eventually bubble up the tree until all defines converge to the correct value. - This is O(n*e) vs O(n+e), but our define graph is usually quite shallow. - To prevent non-halting, we error after an arbitrary 1000 iterations. If you hit this, it's likely because there is a cycle in the define graph. This is runtime configurable via the new --define-depth flag. - To keep things consistent and reproducible, we zero initialize all defines before the first evaluation. I don't think this is strictly necessary, but it's important for the test runner to have the exact same results on every run. No one wants a "works on my machine" situation when the tests are involved. Experimentation shows we only need an evaluation depth of 2 to successfully evaluate the current set of defines: $ ./runners/test_runner --list-defines --define-depth=2 And any performance impact is negligible (~630s +-~20s).
littlefs
A little fail-safe filesystem designed for microcontrollers.
| | | .---._____
.-----. | |
--|o |---| littlefs |
--| |---| |
'-----' '----------'
| | |
Power-loss resilience - littlefs is designed to handle random power failures. All file operations have strong copy-on-write guarantees and if power is lost the filesystem will fall back to the last known good state.
Dynamic wear leveling - littlefs is designed with flash in mind, and provides wear leveling over dynamic blocks. Additionally, littlefs can detect bad blocks and work around them.
Bounded RAM/ROM - littlefs is designed to work with a small amount of memory. RAM usage is strictly bounded, which means RAM consumption does not change as the filesystem grows. The filesystem contains no unbounded recursion and dynamic memory is limited to configurable buffers that can be provided statically.
Example
Here's a simple example that updates a file named boot_count every time
main runs. The program can be interrupted at any time without losing track
of how many times it has been booted and without corrupting the filesystem:
#include "lfs.h"
// variables used by the filesystem
lfs_t lfs;
lfs_file_t file;
// configuration of the filesystem is provided by this struct
const struct lfs_config cfg = {
// block device operations
.read = user_provided_block_device_read,
.prog = user_provided_block_device_prog,
.erase = user_provided_block_device_erase,
.sync = user_provided_block_device_sync,
// block device configuration
.read_size = 16,
.prog_size = 16,
.block_size = 4096,
.block_count = 128,
.cache_size = 16,
.lookahead_size = 16,
.block_cycles = 500,
};
// entry point
int main(void) {
// mount the filesystem
int err = lfs_mount(&lfs, &cfg);
// reformat if we can't mount the filesystem
// this should only happen on the first boot
if (err) {
lfs_format(&lfs, &cfg);
lfs_mount(&lfs, &cfg);
}
// read current count
uint32_t boot_count = 0;
lfs_file_open(&lfs, &file, "boot_count", LFS_O_RDWR | LFS_O_CREAT);
lfs_file_read(&lfs, &file, &boot_count, sizeof(boot_count));
// update boot count
boot_count += 1;
lfs_file_rewind(&lfs, &file);
lfs_file_write(&lfs, &file, &boot_count, sizeof(boot_count));
// remember the storage is not updated until the file is closed successfully
lfs_file_close(&lfs, &file);
// release any resources we were using
lfs_unmount(&lfs);
// print the boot count
printf("boot_count: %d\n", boot_count);
}
Usage
Detailed documentation (or at least as much detail as is currently available) can be found in the comments in lfs.h.
littlefs takes in a configuration structure that defines how the filesystem operates. The configuration struct provides the filesystem with the block device operations and dimensions, tweakable parameters that tradeoff memory usage for performance, and optional static buffers if the user wants to avoid dynamic memory.
The state of the littlefs is stored in the lfs_t type which is left up
to the user to allocate, allowing multiple filesystems to be in use
simultaneously. With the lfs_t and configuration struct, a user can
format a block device or mount the filesystem.
Once mounted, the littlefs provides a full set of POSIX-like file and directory functions, with the deviation that the allocation of filesystem structures must be provided by the user.
All POSIX operations, such as remove and rename, are atomic, even in event of power-loss. Additionally, file updates are not actually committed to the filesystem until sync or close is called on the file.
Other notes
Littlefs is written in C, and specifically should compile with any compiler
that conforms to the C99 standard.
All littlefs calls have the potential to return a negative error code. The
errors can be either one of those found in the enum lfs_error in
lfs.h, or an error returned by the user's block device operations.
In the configuration struct, the prog and erase function provided by the
user may return a LFS_ERR_CORRUPT error if the implementation already can
detect corrupt blocks. However, the wear leveling does not depend on the return
code of these functions, instead all data is read back and checked for
integrity.
If your storage caches writes, make sure that the provided sync function
flushes all the data to memory and ensures that the next read fetches the data
from memory, otherwise data integrity can not be guaranteed. If the write
function does not perform caching, and therefore each read or write call
hits the memory, the sync function can simply return 0.
Design
At a high level, littlefs is a block based filesystem that uses small logs to store metadata and larger copy-on-write (COW) structures to store file data.
In littlefs, these ingredients form a sort of two-layered cake, with the small logs (called metadata pairs) providing fast updates to metadata anywhere on storage, while the COW structures store file data compactly and without any wear amplification cost.
Both of these data structures are built out of blocks, which are fed by a common block allocator. By limiting the number of erases allowed on a block per allocation, the allocator provides dynamic wear leveling over the entire filesystem.
root
.--------.--------.
| A'| B'| |
| | |-> |
| | | |
'--------'--------'
.----' '--------------.
A v B v
.--------.--------. .--------.--------.
| C'| D'| | | E'|new| |
| | |-> | | | E'|-> |
| | | | | | | |
'--------'--------' '--------'--------'
.-' '--. | '------------------.
v v .-' v
.--------. .--------. v .--------.
| C | | D | .--------. write | new E |
| | | | | E | ==> | |
| | | | | | | |
'--------' '--------' | | '--------'
'--------' .-' |
.-' '-. .-------------|------'
v v v v
.--------. .--------. .--------.
| F | | G | | new F |
| | | | | |
| | | | | |
'--------' '--------' '--------'
More details on how littlefs works can be found in DESIGN.md and SPEC.md.
-
DESIGN.md - A fully detailed dive into how littlefs works. I would suggest reading it as the tradeoffs at work are quite interesting.
-
SPEC.md - The on-disk specification of littlefs with all the nitty-gritty details. May be useful for tooling development.
Testing
The littlefs comes with a test suite designed to run on a PC using the
emulated block device found in the bd directory.
The tests assume a Linux environment and can be started with make:
make test
License
The littlefs is provided under the BSD-3-Clause license. See LICENSE.md for more information. Contributions to this project are accepted under the same license.
Individual files contain the following tag instead of the full license text.
SPDX-License-Identifier: BSD-3-Clause
This enables machine processing of license information based on the SPDX License Identifiers that are here available: http://spdx.org/licenses/
Related projects
-
littlefs-fuse - A FUSE wrapper for littlefs. The project allows you to mount littlefs directly on a Linux machine. Can be useful for debugging littlefs if you have an SD card handy.
-
littlefs-js - A javascript wrapper for littlefs. I'm not sure why you would want this, but it is handy for demos. You can see it in action here.
-
littlefs-python - A Python wrapper for littlefs. The project allows you to create images of the filesystem on your PC. Check if littlefs will fit your needs, create images for a later download to the target memory or inspect the content of a binary image of the target memory.
-
mklfs - A command line tool built by the Lua RTOS guys for making littlefs images from a host PC. Supports Windows, Mac OS, and Linux.
-
Mbed OS - The easiest way to get started with littlefs is to jump into Mbed which already has block device drivers for most forms of embedded storage. littlefs is available in Mbed OS as the LittleFileSystem class.
-
SPIFFS - Another excellent embedded filesystem for NOR flash. As a more traditional logging filesystem with full static wear-leveling, SPIFFS will likely outperform littlefs on small memories such as the internal flash on microcontrollers.
-
Dhara - An interesting NAND flash translation layer designed for small MCUs. It offers static wear-leveling and power-resilience with only a fixed O(|address|) pointer structure stored on each block and in RAM.