> is there anyone that have any stats on Bacula performance writing
> volumes on harddisk for the following 3 cases:
> 1. concurrent jobs, writing at the same time to one and the same volume
> 2. concurrent jobs, writing at the same time to separate volumes (one
> per job)
> 3. jobs run 1 at a time.
>
> What would be the fastest (assuming that the disk data transfer is
> less than network's, using 1Gbps).
>
Although someone can come up with benchmarks, I do not believe there
is a simple answer here. The data rate you achieve during backups is
highly dependent on many factors that are specific to your setup.

1) The job type. Full backups should get a much higher data rate than
incrementals or differentials as the client will spend a lot of time
thrashing through the filesystem searching for what has changed.

2) The database load. If you have millions of files in your backup the
database will be bogged down reducing your throughput

3) The number of clients you are backing up at a time. Since most
single clients will have a very hard time generating data at the rate
it can be written it is often better to run more than one client at a
time.

4) Software compression. If this is used your backup rate will
significantly decrease on each client so you should run multiple
clients at once to increase throughput.

5) Destination disk performance. If you are planning on archiving
rates of > 50MB/s you will need a raid on the receiving end or
multiple independent disks with each volume being on a different disk.

6) Jobs on a single client. Never run two jobs on a single client
unless they are using different drives.

7) Spooling. It can help and it can hurt.

8) Signatures. Using MD5 or SHA does add some time to the backup.

John

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