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Your Graph Database Treats Edges Like Dumb Pointers. Here's What You're Missing.
This story was originally published on HackerNoon at: https://hackernoon.com/your-graph-database-treats-edges-like-dumb-pointers-heres-what-youre-missing.
Most graph models let you traverse edges but not query them.
Check more stories related to programming at: https://hackernoon.com/c/programming.
You can also check exclusive content about #identity-management, #hierarchical-graph-structures, #iaas, #graph-edges, #composite-index, #edge-metadata, #amazon-neptune, #permission-lookup, and more.
This story was written by: @abhisheknagpal48. Learn more about this writer by checking @abhisheknagpal48's about page,
and for more stories, please visit hackernoon.com.
In most graph models edges can only be traversed, not queried, so filtering on edge attributes forces a full scan of thousands of relationships—taking seconds. By treating edges as indexed table rows (defining a composite “identity” on key attributes), queries become direct seeks, dropping a 3‑second “active admin” lookup to ~4 ms, regardless of edge count. This works best when edges are relatively static and you choose the most‑filtered attributes as the index prefix.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/your-graph-database-treats-edges-like-dumb-pointers-heres-what-youre-missing.
Most graph models let you traverse edges but not query them.
Check more stories related to programming at: https://hackernoon.com/c/programming.
You can also check exclusive content about #identity-management, #hierarchical-graph-structures, #iaas, #graph-edges, #composite-index, #edge-metadata, #amazon-neptune, #permission-lookup, and more.
This story was written by: @abhisheknagpal48. Learn more about this writer by checking @abhisheknagpal48's about page,
and for more stories, please visit hackernoon.com.
In most graph models edges can only be traversed, not queried, so filtering on edge attributes forces a full scan of thousands of relationships—taking seconds. By treating edges as indexed table rows (defining a composite “identity” on key attributes), queries become direct seeks, dropping a 3‑second “active admin” lookup to ~4 ms, regardless of edge count. This works best when edges are relatively static and you choose the most‑filtered attributes as the index prefix.