Summary
In this chapter, we have taken a look at the graph data model and explored the graph using database statistics and schema visualization.
In this chapter, we learned about how to find nodes by leveraging indexes or without using indexes; compared the performance of different queries to understand the importance of using indexes for querying; used PROFILE to understand performance issues in the queries; learned about using the STARTS WITH clause, which leverages an index; worked with point properties to leverage the geospatial capabilities of Graph; traversed the graph efficiently; leveraged count stores; and built complex queries using the WITH clause.
In the next chapter, we will continue our graph exploration by performing more complex queries, which will involve filtering, sorting, and aggregation.
