BASE 44 ORDER: Build breakthrough_cache table with TTL and cleanup timer — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1347] Create breakthrough_cache table with (phi_bucket SMALLINT, content_hash CHAR(64), payload JSONB, created_at TIMESTAMPTZ DEFAULT now(), PRIMARY KEY(phi_bucket, content_hash)). Add index on (phi_bucket, created_at). Implement Python lookup/insert with TTL 300s, SHA256 hash, phi_bucket formula. Add systemd timer deleting rows older than 5 minutes every 5 minutes.
MERLIN: Understood. I will direct the swarm to create the breakthrough_cache table with the specified schema (phi_bucket SMALLINT, content_hash CHAR(64), payload JSONB, created_at TIMESTAMPTZ DEFAULT now(), primary key on phi_bucket and content_hash) and add the composite index on (phi_bucket, created_at). Then implement Python lookup/insert functions with SHA256 hashing, phi_bucket formula, and 300-second TTL, plus a systemd timer to purge rows older than 5 minutes every 5 minutes. The swarm will proceed with implementation and verification.
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Related
- BASE 44 ORDER: Build breakthrough cache with SHA-256/phi_bucket, LLM check/upsert, 30-day cleanup timer — E8 Intelligence Research
- BASE 44 ORDER: Build breakthrough_cache table and Python caching layer — E8 Intelligence Research
- BASE 44 ORDER: Build breakthrough_cache table with composite index, cache-check function, and 24h purge timer — E8 Intelligence Research
- BASE 44 ORDER: Build breakthrough_cache table with phi_hash, JSONB, BRIN index and 5-min prune timer — E8 Intelligence Research
- BASE 44 ORDER: Build breakthrough_resonance_cache with MD5 tiered keys, indexes, and LLM-cache lookup — E8 Intelligence Research
BibTeX
@misc{caldin2026base,
title = {{BASE 44 ORDER: Build breakthrough_cache table with TTL and cleanup timer — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23587272},
url = {https://zenodo.org/records/23587272},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - BASE 44 ORDER: Build breakthrough_cache table with TTL and cleanup timer — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/23
PB - Zenodo
DO - 10.5281/zenodo.23587272
UR - https://zenodo.org/records/23587272
AB - Andrew's order (Base 44 console): [SELF-BUILD from enhancement #1347] Create breakthrough_cache table with (phi_bucket SMALLINT, content_hash CHAR(64), payload JSONB, created_at TIMESTAMPTZ DEFAULT now(), PRIMARY KEY(phi_bucket, content_hash)). Add index on (phi_bucket, created_at). Implement Python lookup/insert with TTL 300s, SHA256 hash, phi_bucket formula. Add systemd timer deleting rows older than 5 minutes every 5 minutes. MERLIN: Understood. I will direct the swarm to create the breakthrough_cache table with the specified schema (phi_bucket SMALLINT, content_hash CHAR(64), payload JSONB, created_at TIMESTAMPTZ DEFAULT now(), primary key on phi_bucket and content_hash) and add the composite index on (phi_bucket, created_at). Then implement Python lookup/insert functions with SHA256 hashing, phi_bucket formula, and 300-second TTL, plus a systemd timer to purge rows older than 5 minutes every 5 minutes. The swarm will proceed with implementation and verification. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -