Hi,
Am 21.08.2018 um 17:02 schrieb Michal Skrivanek:
[...]
Hi Bernhard,
With the latest version of the ovirt-imageio and the v2v we are
performing quite nicely, and without specifying
the difference is that with the integrated v2v you don’t use any of
that. It’s going through the vCenter server which is the major slowdown.
With 10MB/s I do not expect the bottleneck is on our side in any way.
After all the integrated v2v is writing locally directly to the target
prepared volume so it’s probably even faster than imageio.VMWare as the bottleneck was also my idea. I just had the time to take a
look into it, locally the ovirt and the vmware hosts can access their
storage with about 100MB/sec. I also see that on the receiving side the
linux IO writes in 100MB/sec bursts and then waits some time before a
new write happens.
the “new” virt-v2v -o rhv-upload method is not integrated in GUI, but
supports VDDK and SSH methods of access which both should be faster
you could try to use that, but you’d need to use it on cmdline
https://github.com/oVirt/ovirt-ansible-v2v-conversion-host/ might help
to use it a bit more nicely
Thanks, I will take a look into it.
Regards
Bernhard
Thanks,
michal
number I can tell you that weakest link is the read rate from the
vmware data store. In our lab
I can say that we roughly peek ~40 MiB/sec reading a single vm and the
rest of our components(after the read from vmds)
have no problem dealing with that - i.e buffering -> converting ->
writing to imageio -> writing to storage
So, in short, examine the read-rate from vm datastore, let us know,
and please specify the versions you are using.
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