Indexing and Query Performance
I am working on fine tuning a query so that it becomes faster. The query is like:
g.V().has('Index1','123').as('p').out('has_rel1').has('Index2,within('A','B').as('q').dedup().out('has_rel2').has('Index3','X').as('r').select('p','q','r').by('id')
How to ensure all the three index are used for searching. I created index for all the 3 search attribute named as Index1, Index2 and Index3. But while doing profile I can see only Index1 being used.
Any suggestion.
Fyi, Firstly I created all as Composite index, but since index2 isnt using equality, so later made it as mixed index, but still no changes.
g.V().has('Index1','123').as('p').out('has_rel1').has('Index2,within('A','B').as('q').dedup().out('has_rel2').has('Index3','X').as('r').select('p','q','r').by('id')
How to ensure all the three index are used for searching. I created index for all the 3 search attribute named as Index1, Index2 and Index3. But while doing profile I can see only Index1 being used.
Any suggestion.
Fyi, Firstly I created all as Composite index, but since index2 isnt using equality, so later made it as mixed index, but still no changes.
Apache TinkerPop is an open source graph computing framework and the home of the Gremlin graph query language.
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