BASE 44 ORDER: Build breakthrough_facet_cache with 28-shard hashing and lookup decorator — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1317] Create table breakthrough_facet_cache (facet_id SMALLINT, facet_hash BIGINT, breakthrough_id BIGINT, PRIMARY KEY(facet_id, facet_hash)). Implement 28-shard hashing on insert/update. Add lookup function with GROUP BY HAVING COUNT>=3. Wrap query path with decorator. Test on replay benches.
MERLIN: Understood — you want a new cache table for breakthrough facets with 28-shard hashing on writes, a GROUP BY HAVING COUNT>=3 lookup, and a decorator wrapping the query path. I'll have the swarm create the schema, implement the sharded insert/update logic, add the lookup function, and wire the decorator. Then we'll run it against the replay benches to verify correctness and performance.
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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BibTeX
@misc{caldin2026base,
title = {{BASE 44 ORDER: Build breakthrough_facet_cache with 28-shard hashing and lookup decorator — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23465324},
url = {https://zenodo.org/records/23465324},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - BASE 44 ORDER: Build breakthrough_facet_cache with 28-shard hashing and lookup decorator — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/19
PB - Zenodo
DO - 10.5281/zenodo.23465324
UR - https://zenodo.org/records/23465324
AB - Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1317] Create table breakthrough_facet_cache (facet_id SMALLINT, facet_hash BIGINT, breakthrough_id BIGINT, PRIMARY KEY(facet_id, facet_hash)). Implement 28-shard hashing on insert/update. Add lookup function with GROUP BY HAVING COUNT>=3. Wrap query path with decorator. Test on replay benches. MERLIN: Understood — you want a new cache table for breakthrough facets with 28-shard hashing on writes, a GROUP BY HAVING COUNT>=3 lookup, and a decorator wrapping the query path. I'll have the swarm create the schema, implement the sharded insert/update logic, add the lookup function, and wire the decorator. Then we'll run it against the replay benches to verify correctness and performance. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -