Hi,

Ok so you mean that in 1.7, even with a write quorum set to 1, the 
replication is somehow synchronous ?

Le jeudi 18 décembre 2014 19:19:17 UTC+1, Lvc@ a écrit :
>
> Hi Stéphane,
> To improve the writes you should use sharding, no replication: in fact, 
> the more nodes you have, the more replicas OrientDB has to manage. With 
> replicas of your database you improve reads.
>
> In 2.0 we introduced the new "asynchronous" mode to go much faster on 
> writes too.
>
> Lvc@
>
>
> On 18 December 2014 at 12:51, Stéphane Schild <[email protected] 
> <javascript:>> wrote:
>>
>> Hi,
>>
>> I have done some tests in a lab on write scalability in distributed mode.
>>
>> My lab consists of two Win7 machines (also tried on Linux with the same 
>> results) linked by Ethernet network, that are in the same OrientDB cluster.
>> I have left the default configuration, except the write quorum that has 
>> been set to 1 to see if it improved the results.
>>
>> The object are created using the Java Graph API.
>>
>> Test 1 (1 client, 1 node):
>> 10'000 vertices created.
>> Time: 00m50s
>>
>> Test 2 (2 clients, 1 node):
>> 20'000 vertices (10'000 per client) created.
>> Time: 01m00s
>>
>> Test 3 (4 clients, 2 nodes):
>> 40'000 vertices (10'000 per client, 2 clients connected on node1, 2 
>> clients connected on node2) created.
>> Time: 01m55s
>>
>> I have two surprises:
>> - Test1 and Test2 take approx the same time to run, which was not expected
>> - Test3 takes twice the time as Test2, which was not expected either. I 
>> thought that adding a node would increase the global performance by almost 
>> a factor of 2.
>>
>> Could you guide me if I'm doing something wrong ? How do you explain my 
>> results ?
>>
>> Thanks
>>
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