Without repeating full match again (no index used), my query is taking 8
minutes. I have a graph DB with 150 nodes as I am testing currently, but in
future it will have large number of nodes.
Two things I wish to ask you:
1) All my nodes have 'crime_type' as an attribute. I have not give any
specific labels for nodes when I am creating graph. All nodes are crime
incidents. Now Can I make label out of attribute 'crime_type' and then use
it for indexing? If so, how can I do it? Please elaborate
2) The above query as I posted before is mysteriously giving me the count
of all nodes of different types rather than based on 'relationship matches'
I have used. The actual count of nodes involved in such 'match' is less.
But the result I am getting is count of all nodes of different crime types.
Is my formulation of query wrong?
Please help.
On Friday, 3 October 2014 19:00:34 UTC+5:30, Mohana Krishna, IIT Bombay,
India wrote:
>
> I have issued a following query as part of my application:
>
>
> MATCH
>
> (k{type:"ASSAULT"})-[r1:CLOSE_TO]->( l {type:"BATTERY"}),
>
> (k{type:"ASSAULT"})-[r2:CLOSE_TO]->(m{type:"THEFT"}),
>
> (k{type:"ASSAULT"})-[r3:CLOSE_TO]->(n{type:"NARCOTICS"}),
>
> ( l {type:"BATTERY"})-[r4:CLOSE_TO]->(m{type:"THEFT"}),
>
> ( l {type:"BATTERY"})-[r5:CLOSE_TO]->(n{type:"NARCOTICS"}),
>
> (m{type:"THEFT"})-[r6:CLOSE_TO]->(n{type:"NARCOTICS"})
>
> return count(distinct(k)) as k_count, count(distinct(l)) as l_count,
> count(distinct(m)) as m_count , count(distinct(n)) as n_count;
>
>
> The query is running indefinitely without giving results. I have
> cross-checked but could not find any error. Am I missing something? Is
> there a limit on maximum number of matches that can be done??
>
> Please help.
>
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