Squads in the Team
We should mention that we finally did three squads for this sprint:
- The Sockets & Services Squad working on supporting systemd sockets properly and other systemd related tasks (all in the YaST context, of course).
- The Qt and UI Squad working on user interface things like adding a new view to the package selection to show packages managed by a service, and also some control center improvements.
- The Bug Fighting Squad handling bugs that are coming in on a daily basis and in our backlog.
Fixed Issues with Disks Larger than 8EiB
It’s quite unlikely that you have at home a disk storage larger than 8EiB (eight exbibytes, 263). But in enterprise or cloud world it might be possible.
And it turned out that the YaST package manager does not handle such large disks well. At the start you would see this false error message:
There are two problems:
- There definitely is a lot of free space on the disk, the error telling the user the space is running out is simply lying.
- The disk sizes are displayed as wrong negative values.
It turned out that the problem was caused by using the signed 64-bit integer data type which overflows for values bigger than 8EiB and the number becomes negative.
We had to fix several places, each required some different solution.
- Use unsigned 64-bit integers where possible, that obviously avoids overflow.
- The numbers from libzypp use KiB units, at some places we need to convert that number to MiB. But first we converted to plain bytes (by multiplying by 1024) and then divide by 1MiB. And this first multiply step might cause overflow. Instead we simply convert KiB to MiB directly by dividing by 1024 without risk of overflow in the middle.
- Use floating point
doubledata type for converting the values to a human readable text or to percents. The
doublehas wider range and in these cases we do not need exact precision so rounding in floating point operations does not matter.
- Ignore a negative number in the free space check. At one place the value goes through the YaST component system which uses signed integer and this cannot be easily changed. In that case we consider negative free space as enough for installing any package, more than 8EiB free space should be enough for any package™.
There is still some minor issue with the large numbers. The highest supported unit is TiB so even very big numbers are displayed in TiB units as on the screenshot above. The fix is planned to be released as a maintenance update and this change would break the backward compatibility so we will improve it later but only for the future releases.
But the problem was how to test the behavior? You could fake some numbers in the code but for full testing or QA validation it would be nice to test on a real disk. But you usually do not have such a large storage for testing…
Fortunately in Linux it is possible to fake such large file system quite easily using sparse files and loop devices. Here is a short how to:
# create two big sparse files truncate -s 6E /tmp/huge_file1 truncate -s 6E /tmp/huge_file2 # create block devices via loopback losetup -f /tmp/huge_file1 losetup -f /tmp/huge_file2 # get the loop back device names, the names might be different # if the system already uses some other loop back devices losetup -a /dev/loop1: :1171324 (/tmp/huge_file2) /dev/loop0: :1171323 (/tmp/huge_file1) # create a btrfs file system over both "disks" mkfs.btrfs -K /dev/loop0 /dev/loop1 # mount it on /mnt2 (or whatever else, do not use /mnt, that is ignored by libzypp!) mkdir /mnt2 mount /dev/loop0 /mnt2 # verify the size df -h /mnt2 Filesystem Size Used Avail Use% Mounted on /dev/loop0 12E 17M 12E 1% /mnt2 # voila! you have a 12EiB file system! enjoy
Note: Obviously even if you have a 12EiB filesystem you cannot save
there more data than in the real file system below (in
/tmp in this
case). If you try you will get write errors, there is no prepetuum
Speeding Up Unit Tests and Travis Builds in yast2-storage-ng
The new yast2-storage-ng package has a quite large set of unit tests. That’s good, it allows to have less buggy code and make sure the features work as expected.
On the other hand the drawback is that running the tests take too much time. If you have to wait for 3 or 4 minutes after any small change in the code then either you waste too much time or you do not run the tests at all. So we looked into speeding up the tests.
Running Tests in Parallel
The main problem was that all tests were executed sequentially one by one. Even if you have a multi CPU system only one processor was used. It turned out that using the parallel_test Ruby gem allows easily running the tests in parallel utilizing all available processors.
The only possible problem is that there must not be any dependencies or conflicts between the tests otherwise running them in parallel would fail. Fortunately there was only one small issue in the yast2-storage-ng tests and we could enable the parallel tests without much work.
Running Travis Jobs in Parallel
Also the Travis job took quite a lot of time. Running the tests in parallel helped a bit at Travis but still was not good enough.
Fortunately Travis allows running multiple jobs in parallel. Therefore we split the single CI job which runs the tests, builds the package, runs syntax check, etc… into three independent groups which can be started in parallel.
If you are interested in details you might check our updated Travis documentation and the Parallel tests documentation. Or check the announcement on the YaST mailing list.
Here are some real numbers to see the speedup:
- Running the test suite locally (
rake test:unit): from 2:44 to 0:38 (4.3x speed up on a quad core CPU with hyper-threading enabled)
- Building the package locally (
rake osc:build): from 137s to 49s (with cached RPM packages but includes chroot installation)
- Package build in OBS: from 323s-505s to 102s-235s (it highly depends on the speed of the used worker)
- Travis speed up: from 8-10 minutes to 3-4minutes (using both parallel Travis jobs and parallel tests)
This allows us to continue with adding even more tests into the package.
What Packages are Provided by a Product Extension/Module?
In the Software Management module we have a Repositories view where you can see the packages grouped by the repository that provides them. But this is not really helpful if you want to see what is delivered with a product Extension or Module, because each product module is composed of several repositories: the originally released packages, the updates, the sources, the debuginfos.
Fortunately, the repositories for each product module are grouped together in a repository Service, and we have added a Services filter to Software Management.
Qt Service filter:
ncurses Service filter:
(Reference: Feature #320573)