This adds two new configuration options: erase_size and erase_count,
allowing block_size and block_count to be loaded from the superblock
during mount. For backwards compability these default to block_size and
block_count if zero.
---
Unfortunately this is a bit easier said than done. littlefs keeps its
superblock in the metadata pair located at blocks {0,1}, which is also
where the root directory lives (keep in mind small littlefs images may
only have 2 blocks in total). If we mutate blocks {0,1}, we have to
erase before programming, which means it's possible to have the only
superblock in block 1. This presents a puzzle because how do you find
block 1 if you don't know the size of a block?
One solution presented here is to search for block 1 by trying different
sizes until we find a superblock. This isn't great but there are some
properties of this search that help:
1. If we do find a superblock, the search will never take longer than a
mount with a known block_size. This is because we stop at block 1,
searching at most O(block_size) bytes, and metadata fetch is already
a O(block_size) operation.
This means the concern is limited to how long it takes to fail when
littlefs is not present on the disk.
2. We can assume the on-disk block_size is probably a factor of the
total size of the disk. After a bit of digging into the math, this
apparently reduces the runtime to the divisor function, d(n), which
is sublinear.
According to a blog post by Terence Tao this is bounded by the
ridiculous O(e^O(log(n)/log(log(n)))):
https://terrytao.wordpress.com/2008/09/23/the-divisor-bound
This is apparently somewhere between O(sqrt(n)) and O(log(n)), but
conveniently O(log(n)) on average and O(log(n)) for powers of 2.
I've left it as O(d(n)) in the documentation, which might be a bit
confusing, but I'm not sure how best to capture "mostly log(n)"
correctly.
3. If we don't know the block_size, or don't know that block_size is
aligned to the disk size, the best we can do is a O(n) search.
In this case I've added a warning, so at least it's distinguishable
from an infinite loop if debugging.
These are really just different flavors of test.py and test_runner.c
without support for power-loss testing, but with support for measuring
the cumulative number of bytes read, programmed, and erased.
Note that the existing define parameterization should work perfectly
fine for running benchmarks across various dimensions:
./scripts/bench.py \
runners/bench_runner \
bench_file_read \
-gnor \
-DSIZE='range(0,131072,1024)'
Also added a couple basic benchmarks as a starting point.
The main benefit is small test ids everywhere, though this is with the
downside of needing longer names to properly prefix and avoid
collisions. But this fits into the rest of the scripts with globally
unique names a bit better. This is a C project after all.
The other small benefit is test generators may have an easier time since
per-case symbols can expect to be unique.
This mostly required names for each test case, declarations of
previously-implicit variables since the new test framework is more
conservative with what it declares (the small extra effort to add
declarations is well worth the simplicity and improved readability),
and tweaks to work with not-really-constant defines.
Also renamed test_ -> test, replacing the old ./scripts/test.py,
unfortunately git seems to have had a hard time with this.
Moved .travis.yml over to use the new test framework. A part of this
involved testing all of the configurations ran on the old framework
and deciding which to carry over. The new framework duplicates some of
the cases tested by the configurations so some configurations could be
dropped.
The .travis.yml includes some extreme ones, such as no inline files,
relocations every cycle, no intrinsics, power-loss every byte, unaligned
block_count and lookahead, and odd read_sizes.
There were several configurations were some tests failed because of
limitations in the tests themselves, so many conditions were added
to make sure the configurations can run on as many tests as possible.
It's interesting how many ways block devices can show failed writes:
1. prog can error
2. erase can error
3. read can error after writing (ECC failure)
4. prog doesn't error but doesn't write the data correctly
5. erase doesn't error but doesn't erase correctly
Can read fail without an error? Yes, though this appears the same as
prog and erase failing.
These weren't all simulated by testbd since I unintentionally assumed
the block device could always error. Fixed by added additional bad-black
behaviors to testbd.
Note: This also includes a small fix where we can miss bad writes if the
underlying block device contains a valid commit with the exact same
size in the exact same offset.
- Removed old tests and test scripts
- Reorganize the block devices to live under one directory
- Plugged new test framework into Makefile
renamed:
- scripts/test_.py -> scripts/test.py
- tests_ -> tests
- {file,ram,test}bd/* -> bd/*
It took a surprising amount of effort to make the Makefile behave since
it turns out the "test_%" rule could override "tests/test_%.toml.test"
which is generated as part of test.py.
Christopher Haster