On      thu, 24 Mar 2011 08:29:57 +0100, Arne Jansen wrote:
> On 24.03.2011 02:38, Miao Xie wrote:
>> On wed, 23 Mar 2011 21:28:25 +0100, Arne Jansen wrote:
>>> On 23.03.2011 20:26, Andrey Kuzmin wrote:
>>>> On Wed, Mar 23, 2011 at 4:06 PM, Arne Jansen<sensi...@gmx.net>  wrote:
>>>>> The main idea is to load the tree (or parts of it) top-down, order the
>>>>> needed blocks and distribute it over all disks.
>>>>> To keep you interested, some results first.
>>>>>
>>>>> a) by tree enumeration with reada=2
>>>>>    reading extent tree: 242s
>>>>>    reading csum tree: 140s
>>>>>    reading both trees: 324s
>>>>>
>>>>> b) prefetch prototype
>>>>>    reading extent tree: 23.5s
>>>>>    reading csum tree: 20.4s
>>>>>    reading both trees: 25.7s
>>>>
>>>> 10x speed-up looks indeed impressive. Just for me to be sure, did I
>>>> get you right in that you attribute this effect specifically to
>>>> enumerating tree leaves in key address vs. disk addresses when these
>>>> two are not aligned?
>>>
>>> Yes. Leaves and the intermediate nodes tend to be quite scattered
>>> around the disk with respect to their logical order.
>>> Reading them in logical (ascending/descending) order require lots
>>> of seeks.
>>
>> I'm also dealing with tree fragmentation problem, I try to store the leaves
>> which have the same parent closely.
> 
> That's good to hear. Do you have already anything I can repeat the test
> with?

It is still under developing.;)

Thanks
Miao

> -Arne
> 
>>
>> Regards
>> Miao
>>
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