Every question about a part -- what values exist, what attributes go with
one -- was answered by querying the source, and the source is the wrong
place to ask. It is a view over a transaction table, so the query is slow
(76s for one ILIKE against 6.9M rows), it describes only what was
transacted, and it cannot express intent: there is no way to say a part is
discontinued, or to name one that has not sold yet.
pf.dim_member holds the app's own list: one row per key value per group,
siblings in jsonb, keyed on (source_id, dim_group, key_value). Refresh is a
merge rather than a replace, so curation survives it -- members absent from
the source are marked source_seen = false, not deleted. Triggered from
Setup, next to Generate SQL, because it reads the whole source and the
answer only changes when the catalogue does.
A key can carry several attribute sets across history -- 11,290 parts
against 13,662 combinations on osm_skinny -- so the refresh takes the most
recent by the source's date column. That also fixes the sibling autofill,
which used to run a DISTINCT ... LIMIT 2 against the source and silently
fill nothing whenever a part came back ambiguous. A member row is one
definition by construction.
The client fetches each group's list once per source and does both
completion and autofill against it in memory, so neither costs a request.
Columns outside a group, or a group never refreshed, still fall back to the
version's values endpoint.
Run 01_schema.sql to create the table.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>