Hi Pawel,
You are right and we know about it, personally I am against of locking
strategies in database at all, but on current stage we can not avoid them.
We have umbrella issue to rid off many current locks in database
https://github.com/orientechnologies/orientdb/issues/1678 .


On Tue, Feb 11, 2014 at 12:11 AM, Pawel K. <[email protected]> wrote:

> Hi Andrey,
> I tried to imlement similar loader using .NET and binary protocol.
> The algorithm is following:
>
> 1. Read bunch of lines related to the same DbPedia Resource
> 2. Identify existing objects (simple SELECT FROM DbResource WHERE
> ResourceId IN ['AWK','ResId'.....]
> 3. Add lightweigt edge to existing objects
> 4. Create new non existing resources and add lightweight edge
> 5. Commit all changes in one optimistic commit
>
> One thread is able to save 8000-10000 items per second. It's quite ok.
> Obviously I tried to implement it in multithread scenario. Step 1 is done
> in one thread and steps 2-5 in other threads pool using work issued from
> Step 1.
> Unfortunately performance with two threads is really bad (~270 items per
> second). Commits get *com.orientechnologies.common.concur.OTimeoutException.
> Timeout on acquiring exclusive lock against resource of class: class
> com.orientechnologies.orient.core.index.OIndexNotUnique with timeout=5000.*
> Seems that index locking is real bottleneck. I was playing with unique,
> hash, not unique but always result was similar.
>
> Best regards,
> Pawel
>
>
>
>
>
>
> On Monday, February 10, 2014 1:24:54 PM UTC+1, Pawel K. wrote:
>>
>> Thanks! I will look at it.
>> Pawel
>>
>> On Monday, February 10, 2014 10:32:48 AM UTC+1, Andrey Lomakin wrote:
>>>
>>> Hi,
>>> Here you are https://github.com/laa/orientdb-wikipedia-benchmark .
>>>
>>>
>>> On Wed, Feb 5, 2014 at 11:16 PM, Andrey Lomakin <[email protected]>wrote:
>>>
>>>> Hi Pawel,
>>>>
>>>> I have merged it in develop branch couple of hours ago.
>>>>
>>>> About your questions.
>>>>
>>>> 1. I will share tomorrow.
>>>> 2. sorry you should use java remote client it is new data structure, we
>>>> will publish specification for it so non java users can use it  too.
>>>>
>>>> The main parameter of plocal is amount of RAM for disk cache, so as you
>>>> could see db is used 24 GB of RAM so you should set 
>>>> storage.diskCache.bufferSize
>>>> parameter in megabytes.
>>>>
>>>>
>>>>
>>>>
>>>> On Wed, Feb 5, 2014 at 10:38 PM, Pawel K. <[email protected]> wrote:
>>>>
>>>>> Andrey,
>>>>>
>>>>> Can you share benchmark sources? I am trying to repeat your scenario
>>>>> and results.
>>>>>
>>>>> Can I achieve similar performance boost using binary protocol with
>>>>> non-Java client?
>>>>>
>>>>> Best regards,
>>>>> Pawel
>>>>>
>>>>> --
>>>>>
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>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Best regards,
>>>> Andrey Lomakin.
>>>>
>>>> Orient Technologies
>>>> the Company behind OrientDB
>>>>
>>>>
>>>
>>>
>>> --
>>> Best regards,
>>> Andrey Lomakin.
>>>
>>> Orient Technologies
>>> the Company behind OrientDB
>>>
>>>   --
>
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-- 
Best regards,
Andrey Lomakin.

Orient Technologies
the Company behind OrientDB

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