endor-route-estate-queries

Estate-scale data pulls require routing between Query graph joins and facade list/count patterns after bounded topology discovery. This approach ensures validated joins and correct multi-project counts across tenant namespaces.

To validate a multi-project query, you sample and validate the query recipe on a small subset before executing it across the full estate. This prevents wasted effort from inefficient or incorrect query patterns at scale.

You should choose between Query graph joins and facade list and count methods based on output shape and scale. The system performs topology discovery to identify tenant shape and project distribution before recommending the safest path.

Topology discovery improves multi-project data retrieval by identifying tenant shape and project distribution before querying. This prevents wasted effort by steering requests away from incorrect or inefficient query patterns.

Estate-scale data pulling requires shard selection to preserve correctness at scale for multi-project counts. Combined with topology discovery and sample validation, it ensures accurate aggregates across tenant namespaces.

Unvalidated joins across project fleets risk incorrect query patterns and wasted effort. Bounded topology discovery and sample validation on a small subset are required to preserve correctness at estate scale.