If client-side filtering is the issue, then I have another problem. I'll
need to rewrite my entire back-end, and a lot of my operations have a lot
of conditions, which makes it almost impossible.
For example, consider this operation: a user connects to a channel.
1) Register a new connection edge between user and channel
2) If number of connections between user and channel jumped from 0 to 1,
user is now part of channel. If so, create an active user edge between user
and channel as well.
3) If user became an active user and user is a moderator of the channel,
the channel is now considered live (channel vertex update)
etc.
A lot of 'IFs' which are better suited to Java code than SQL code.
What would you suggest for this situation?
Best regards,
Jean
On Monday, May 2, 2016 at 2:40:12 PM UTC+8, l.garulli wrote:
>
> Are you using remote protocol, right? In this case all your filtering is
> happening at client side paying a lot in terms of latency.
>
> WDYT about executing a query/command that do all your job at server side?
>
> Start with this query executed in graph.command( new
> OCommandSQL("<query>") );
>
> SELECT friendship.confirmed, inV( friendship ) FROM
> SELECT out('social').outE('friend') as friendship FROM Account WHERE
> uuid = 'blablablablablablablablabla'
> )
>
>
> Best Regards,
>
> Luca Garulli
> Founder & CEO
> OrientDB <http://orientdb.com/>
>
>
> On 30 April 2016 at 21:43, 'scott molinari' via OrientDB <
> [email protected] <javascript:>> wrote:
>
>> Ok. Sounds like you are right about the profiles. I hope the ODB guys can
>> help. I think I pulled enough of the right information out of you, so they
>> can help. Sorry, I am not more help.
>>
>> Scott
>>
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