Unfortunately, I wasn't able to find the information on Max's blog :(


On Tuesday, June 10, 2014 4:36:01 PM UTC-6, [email protected] wrote:
>
> Cheers, Michael!
>
> -Josh
>
> On Tuesday, June 10, 2014 4:00:26 PM UTC-6, Michael Hunger wrote:
>>
>> Perhaps check out Max de Marzi's graph search app that had exactly this 
>> function see his blog maxdemarzi.com
>>
>> Sent from mobile device
>>
>> Am 11.06.2014 um 00:37 schrieb [email protected]:
>>
>> I'm developing an social app that requires the user's Facebook friends 
>> list.
>>
>> I'm trying to figure out the best method of importing/comparing and 
>> updating the list to my Neo4j DB.
>>
>> For each friend on the user's list, I want to first see if the friend is 
>> in the database... if they are, then I want to create the [:KNOWS] 
>> relationship... if NOT, I want to ignore and move on.
>>
>> Options I'm considering:
>>
>> 1. Run each query separately, matching the user node and the friend's 
>> node.  If the node exists (if the match is found), then create the 
>> relationship.  *This seems very inefficient because I'd be redundantly 
>> matching the user's node in each independent query.*
>>         
>>         (foreach loop)
>>         MATCH (u:User { id:{uID} }), (f:User { id:{fID}})
>>         CREATE (u)-[:KNOWS]->(f)
>>         (end loop)
>>
>> 2. Run as a single query.  Match the user's node... then Optional Match 
>> the user's friends.  If the match exists, create the relationship.
>>       
>>         MATCH (u:User { id:{uID}})
>>             (start loop)
>>             OPTIONAL MATCH (f:User { id:{fID})
>>                 (if match)
>>                 CREATE (u)-[:KNOWS]->(f)
>>             (end loop)
>>
>> Is option 2 possible? Am I thinking about this all wrong?  
>>
>> Thanks for any help!
>>
>> Cheers
>>
>>
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