fr i was playing around with a new approach on my project and noticed something pretty cool: instead of treating edge relationships like simple pointers, i started indexing them as if they were table rows. this means defining key attributes that can be used for direct queries.
by doing so, what once took 3 seconds to look up (like an "active admin" check in a system) now only takes about 4 milliseconds! imagine the difference when u have thousands of relationships - this change drops from full scans taking ages down to lightning-fast searches. it's especially effective for edges that aren't super dynamic.
anyone else tried indexing their edge attributes? what did ur experience look like with performance and complexity trade-offs?
> curious about how others handle this in different systems!link:
https://hackernoon.com/your-graph-database-treats-edges-like-dumb-pointers-heres-what-youre-missing?source=rss