Etienne Dechamps 30930fba21 Add support for DISCARD to ZVOLs.
DISCARD (REQ_DISCARD, BLKDISCARD) is useful for thin provisioning.
It allows ZVOL clients to discard (unmap, trim) block ranges from
a ZVOL, thus optimizing disk space usage by allowing a ZVOL to
shrink instead of just grow.

We can't use zfs_space() or zfs_freesp() here, since these functions
only work on regular files, not volumes. Fortunately we can use the
low-level function dmu_free_long_range() which does exactly what we
want.

Currently the discard operation is not added to the log. That's not
a big deal since losing discard requests cannot result in data
corruption. It would however result in disk space usage higher than
it should be. Thus adding log support to zvol_discard() is probably
a good idea for a future improvement.

Signed-off-by: Brian Behlendorf <behlendorf1@llnl.gov>
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2010-08-31 13:41:27 -07:00
2012-02-09 16:19:38 -08:00
2012-02-09 16:19:38 -08:00
2011-06-17 16:35:49 -07:00
2011-07-26 10:15:35 -07:00
2010-08-31 13:41:27 -07:00
2012-02-09 16:19:38 -08:00
2010-05-18 10:32:23 -07:00
2012-02-09 16:19:38 -08:00
2011-10-06 14:10:45 -07:00
2008-12-01 14:49:34 -08:00
2010-09-15 09:09:37 -07:00
2012-01-18 12:19:52 -08:00
2010-08-26 14:24:34 -07:00
2012-01-18 12:19:52 -08:00

Native ZFS for Linux! ZFS is an advanced file system and volume manager which was originally developed for Solaris. It has been successfully ported to FreeBSD and now there is a functional Linux ZFS kernel port too. The port currently includes a fully functional and stable SPA, DMU, and ZVOL with a ZFS Posix Layer (ZPL) on the way!

$ ./configure
$ make pkg

Full documentation for building, configuring, and using ZFS can be found at: http://zfsonlinux.org

S
Description
No description provided
Readme 122 MiB
Languages
C 70.2%
Shell 19.9%
Assembly 5.1%
M4 1.9%
Python 1.6%
Other 1.3%