{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Programming Tech Brief By HackerNoon","title":"Your Graph Database Treats Edges Like Dumb Pointers. Here's What You're Missing.","html":"","width":"100%","height":180,"duration":385,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/your-graph-database-treats-edges-like-dumb-pointers-heres-what-youre-missing.\n Most graph models let you traverse edges but not query them. \n Check more stories related to programming at: https://hackernoon.com/c/programming.\n 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.\n \n \n This story was written by: @abhisheknagpal48. Learn more about this writer by checking @abhisheknagpal48's about page,\n and for more stories, please visit hackernoon.com.\n \n \n \n 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.\n \n ","thumbnail_url":"https://img.transistorcdn.com/KhCapPSRkLGL2Xw8888yuChkNRWthaKapLYTvNdu4W4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMTY2LzE2ODM1/ODIzMzAtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}