1. 13 12月, 2019 1 次提交
  2. 12 12月, 2019 6 次提交
  3. 11 12月, 2019 2 次提交
  4. 10 12月, 2019 6 次提交
  5. 09 12月, 2019 17 次提交
  6. 05 12月, 2019 2 次提交
  7. 03 12月, 2019 3 次提交
    • P
      qemu: Always reset @info in qemuDomainGetJobInfo · ab163144
      Peter Krempa 提交于
      qemuDomainGetJobInfo didn't always reset the return data in @info.
      Thankfully this wouldn't be a problem as the RPC layer does it but we
      should do it anyways.
      
      Since we reset the struct we don't have to set the type to
      VIR_DOMAIN_JOB_NONE as the value is 0.
      Signed-off-by: NPeter Krempa <pkrempa@redhat.com>
      Reviewed-by: NEric Blake <eblake@redhat.com>
      ab163144
    • P
      2dae916d
    • D
      qemu: make 'xz' image compression viable by using -3 · 8aaed287
      Daniel P. Berrangé 提交于
      For managed save we can choose between various compression
      methods. I randomly tested the 'xz' program on a 8 GB guest
      and was surprised to have to wait > 50 minutes for it to
      finish compressing, with 'xz' burning 100% cpu for the
      entire time. Despite the impressive compression, this is
      completely useless in the real world as it is far too long
      to wait to save the VM.
      
      The 'xz' binary defaults to '-6' optimization level which
      aims for high compression, with moderate memory usage,
      at the expense of speed.
      
      This change switches it to use the '-3' optimization level
      which is documented as being the one that optimizes speed
      at expense of compression. Even with this, it will still
      outperform all the other options in terms of compression
      level. It is a little less than x4 faster than '-6' which
      means it starts to be a viable choice to use 'xz' for
      people who really want best compression.
      
      The test results on a 1 GB, fairly freshly booted VM are
      as follows
      
        format | save  | restore  size
        =======+=======+=============
        raw    |   05s |    1s  | 428 MB
        lzop   |   05s |    3s  | 160 MB
        gzip   |   29s |    5s  | 118 MB
        bz2    |   54s |   22s  | 114 MB
        xz     | 4m37s |   13s  |  86 MB
        xz -3  | 1m20s |   12s  |  95 MB
      
      Based on this we can say
      
       * For moderate compression with no noticable loss in speed
      
             => use lzop
      
       * For high compression with moderate loss in speed
      
             => use gzip
      
       * For best compression with significant loss in speed
      
             => use xz
      Reviewed-by: NMichal Privoznik <mprivozn@redhat.com>
      Signed-off-by: NDaniel P. Berrangé <berrange@redhat.com>
      8aaed287
  8. 02 12月, 2019 2 次提交
  9. 29 11月, 2019 1 次提交