An index for relationships is just like an index for nodes, extended by providing support to constrain a search to relationships with a specific start and/or end nodes These extra methods reside in the RelationshipIndex interface which extends Index<Relationship>.
Example of querying a relationship index:
// find relationships filtering on start node // using exact matches IndexHits<Relationship> reevesAsNeoHits; reevesAsNeoHits = roles.get( "name", "Neo", reeves, null ); Relationship reevesAsNeo = reevesAsNeoHits.iterator().next(); reevesAsNeoHits.close(); // find relationships filtering on end node // using a query IndexHits<Relationship> matrixNeoHits; matrixNeoHits = roles.query( "name", "*eo", null, theMatrix ); Relationship matrixNeo = matrixNeoHits.iterator().next(); matrixNeoHits.close();
And here’s an example for the special case of searching for a specific relationship type:
// find relationships filtering on end node // using a relationship type. // this is how to add it to the index: roles.add( reevesAsNeo, "type", reevesAsNeo.getType().name() ); // Note that to use a compound query, we can't combine committed // and uncommitted index entries, so we'll commit before querying: tx.success(); tx.finish(); // and now we can search for it: IndexHits<Relationship> typeHits; typeHits = roles.query( "type:ACTS_IN AND name:Neo", null, theMatrix ); Relationship typeNeo = typeHits.iterator().next(); typeHits.close();
Such an index can be useful if your domain has nodes with a very large number of relationships between them, since it reduces the search time for a relationship between two nodes. A good example where this approach pays dividends is in time series data, where we have readings represented as a relationship per occurrence.
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