Re: Count Query Optimization
Vinayak Bali
Hi Amiya, With dedup: g.V().has('property1', 'A'). outE().has('property1','E'). where(inV().has('property1', 'B')). fold(). project('edgeCount', 'vertexCount'). by(count(local)). by(unfold().bothV().dedup().count()) Output: ==>[edgeCount:200166,vertexCount:34693] without dedup: g.V().has('property1', 'A'). outE().has('property1','E'). where(inV().has('property1', 'B')). fold(). project('edgeCount', 'vertexCount'). by(count(local)). by(unfold().bothV().count()) Output: ==>[edgeCount:200166,vertexCount:400332] Both queries are taking approx 3 sec to run. Query: g.V().has('property1', 'A').aggregate('v').outE().has('property1','E').aggregate('e').inV().has('property1', 'B').aggregate('v').select('v').dedup().as('vetexCount').select('e').dedup().as('edgeCount').select('vetexCount','edgeCount').by(unfold().count()) Output: ==>[vetexCount:383633,edgeCount:200166] Time: 3.5 mins Edge Count is the same for all the queries but getting different vertexCount. Which one is the right vertex count?? Thanks & Regards, Vinayak On Thu, Mar 18, 2021 at 11:18 AM AMIYA KUMAR SAHOO <amiyakr.sahoo91@...> wrote: Hi Vinayak, |
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