On 02/15/2010 02:56 AM, Ulrich Bauer wrote:
We develop a deployment solution that is able to resize up to 16
drives at a time. While testing, we observed that resize2fs' memory
usage scales with the volume size. Even in case of relatively small
file systems of about 1.5TB, resize2fs would need about 135MB of
application memory. Wit 16 large drives, one would need some GB of RAM
just to resize the drives. Our guess is that this is related to the
super block group bitmaps of ext4 that are held in memory to
manipulate/zero their on-disc counterparts. A quick observation of
resize2fs' source revealed that the latest git tree already has a
bitmap interface that allows for different implementations of the
bitmap manipulation algorithms. To solve the memory usage problem, two
solutions seem to be feasible:
- For the huge bitmaps that already exist on the volume, we could
create a disk-backed bitmap implementation that would only cache a
small working set of the entire bitmap. My guess is that we can
implement this efficiently enough to not loose too much performance.
- For the all-zero bitmaps, we could implement a dummy bitmap that
forces all bits to zero and spawns a real bitmap as soon as any bits
are set to one. An alternative would be a tree-based aproach that
works especially well when the bitmap is just sparsely set.
I'd be glad if one of the developers involved in the ext4 development
could tell me if these thoughts make sense and if yes, are there any
plans to incorporate these approaches into the ext library anytime
soon or does it make sense if I would have a deeper look into these
issues and implement them? Thanks in advance for any thoughts about this.
Sincerely
U. Bauer
This is a similar problem to the amount of memory consumed during fsck -
Ted has been thinking/designing ways to use memory savings encodings to
minimize this but we have not had anyone step forward to push that work
forward...
For now, you unfortunately will have to work around this by resizing
your file systems one at a time or buy lots of memory.
Thanks!
Ric
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