lemmy/replaceable_schema.sql
2023-12-25 09:02:32 -07:00

264 lines
8.3 KiB
PL/PgSQL

-- This sets up the `r` schema, which contains things that can be safely dropped and replaced instead of being
-- changed using migrations.
--
-- Statements in this file may not create or modify things outside of the `r` schema (indicated by the `r.` prefix),
-- except for these things, which are associated with something other than a schema (usually a table):
-- * A trigger if the function name after `EXECUTE FUNCTION` is in `r` (dropping `r` drops the trigger)
--
-- The default schema is not temporarily set to `r` because it would not affect some things (such as triggers) which
-- makes it hard to tell if the rule above is being followed.
--
-- If you add something here that depends on something (such as a table) created in a new migration, then down.sql must use
-- `CASCADE` when dropping it. This doesn't need to be fixed in old migrations because the "replaceable-schema" migration
-- runs `DROP SCHEMA IF EXISTS r CASCADE` in down.sql.
BEGIN;
DROP SCHEMA IF EXISTS r CASCADE;
CREATE SCHEMA r;
-- Rank calculations
CREATE OR REPLACE FUNCTION r.controversy_rank (upvotes numeric, downvotes numeric)
RETURNS float
AS $$
BEGIN
IF downvotes <= 0 OR upvotes <= 0 THEN
RETURN 0;
ELSE
RETURN (upvotes + downvotes) * CASE WHEN upvotes > downvotes THEN
downvotes::float / upvotes::float
ELSE
upvotes::float / downvotes::float
END;
END IF;
END;
$$
LANGUAGE plpgsql
IMMUTABLE;
-- Selects both old and new rows in a trigger and allows using `sum(count_diff)` to get the number to add to a count
CREATE FUNCTION r.combine_transition_tables ()
RETURNS SETOF record
LANGUAGE sql
AS $$
SELECT
-1 AS count_diff,
*
FROM
old_table
UNION ALL
SELECT
1 AS count_diff,
*
FROM
new_table;
$$;
-- These triggers resolve an item's reports when the item is marked as removed.
CREATE PROCEDURE r.resolve_reports_when_target_removed (target_name text)
LANGUAGE plpgsql
AS $a$
BEGIN
EXECUTE format($b$ CREATE FUNCTION r.resolve_reports_when_%1$s_removed ( )
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
UPDATE
%1$s_report AS report
SET
resolved = TRUE, resolver_id = mod_person_id, updated = now()
FROM new_removal
WHERE
report.%1$s_id = new_removal.%1$s_id
AND new_removal.removed;
RETURN NULL;
END $$;
CREATE TRIGGER resolve_reports
AFTER INSERT ON mod_remove_%1$s REFERENCING NEW TABLE AS new_removal
FOR EACH STATEMENT
EXECUTE FUNCTION r.resolve_reports_when_%1$s_removed ( );
$b$,
target_name);
END
$a$;
CALL r.resolve_reports_when_target_removed ('comment');
CALL r.resolve_reports_when_target_removed ('post');
-- These triggers create and update rows in each aggregates table to match its associated table's rows.
-- Deleting rows and updating IDs are already handled by `CASCADE` in foreign key constraints.
CREATE FUNCTION r.comment_aggregates_from_comment ()
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
INSERT INTO comment_aggregates (comment_id, published)
SELECT
id,
published
FROM
new_comment;
RETURN NULL;
END
$$;
CREATE TRIGGER aggregates
AFTER INSERT ON comment REFERENCING NEW TABLE AS new_comment
FOR EACH STATEMENT
EXECUTE FUNCTION r.comment_aggregates_from_comment ();
CREATE FUNCTION r.community_aggregates_from_community ()
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
INSERT INTO community_aggregates (community_id, published)
SELECT
community_id,
published
FROM
new_community;
RETURN NULL;
END
$$;
CREATE TRIGGER aggregates
AFTER INSERT ON community REFERENCING NEW TABLE AS new_community
FOR EACH STATEMENT
EXECUTE FUNCTION r.community_aggregates_from_community ();
CREATE FUNCTION r.person_aggregates_from_person ()
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
INSERT INTO person_aggregates (person_id)
SELECT
id,
FROM
new_person;
RETURN NULL;
END
$$;
CREATE TRIGGER aggregates
AFTER INSERT ON person REFERENCING NEW TABLE AS new_person
FOR EACH STATEMENT
EXECUTE FUNCTION r.person_aggregates_from_person ();
CREATE FUNCTION r.post_aggregates_from_post ()
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
INSERT INTO post_aggregates (post_id, published, newest_comment_time, newest_comment_time_necro, community_id, creator_id, instance_id, featured_community, featured_local)
SELECT
new_post.id,
new_post.published,
new_post.published,
new_post.published,
new_post.community_id,
new_post.creator_id,
community.instance_id,
new_post.featured_community,
new_post.featured_local
FROM
new_post
INNER JOIN community ON community.id = new_post.community_id
ON CONFLICT
DO UPDATE SET
featured_community = excluded.featured_community,
featured_local = excluded.featured_local;
RETURN NULL;
END
$$;
CREATE TRIGGER aggregates
AFTER INSERT OR UPDATE OF featured_community,
featured_local ON post REFERENCING NEW TABLE AS new_post
FOR EACH STATEMENT
EXECUTE FUNCTION r.post_aggregates_from_post ();
CREATE FUNCTION r.site_aggregates_from_site ()
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
-- we only ever want to have a single value in site_aggregate because the site_aggregate triggers update all rows in that table.
-- a cleaner check would be to insert it for the local_site but that would break assumptions at least in the tests
IF NOT EXISTS (
SELECT
1
FROM
site_aggregates) THEN
INSERT INTO site_aggregates (site_id)
VALUES (NEW.id);
RETURN NULL;
END
$$;
CREATE TRIGGER aggregates
AFTER INSERT ON site
FOR EACH ROW
EXECUTE FUNCTION r.site_aggregates_from_site ();
-- These triggers update aggregates in response to votes.
CREATE PROCEDURE r.aggregates_from_like (target_name text, creator_id_getter text)
LANGUAGE plpgsql
AS $a$
BEGIN
EXECUTE format($b$ CREATE FUNCTION r.%1$s_aggregates_from_like ( )
RETURNS TRIGGER
LANGUAGE plpgsql
AS $$
BEGIN
-- Update aggregates for target, then update aggregates for target's creator
WITH
target_diff (
creator_id, score
) AS ( UPDATE
%1$s_aggregates AS target_aggregates
SET
score = score + diff.upvotes - diff.downvotes, upvotes = upvotes + diff.upvotes, downvotes = downvotes + diff.downvotes, controversy_rank = controversy_rank ((upvotes + diff.upvotes)::numeric, (downvotes + diff.downvotes)::numeric)
FROM (
SELECT
target_id, sum(count_diff) FILTER (WHERE score = 1) AS upvotes, sum(count_diff) FILTER (WHERE score <> 1) AS downvotes FROM r.combine_transition_tables ()
GROUP BY target_id) AS diff
WHERE
target_aggregates.comment_id = diff.target_id
RETURNING
%2$s, diff.upvotes - diff.downvotes)
UPDATE
person_aggregates
SET
%1$s_score = %1$s_score + diff.score
FROM (
SELECT
creator_id,
sum(score)
FROM
target_diff
GROUP BY
creator_id) AS diff
WHERE
person_aggregates.person_id = diff.creator_id;
RETURN NULL;
END $$;
CREATE TRIGGER aggregates
AFTER INSERT OR DELETE OR UPDATE OF score ON %1$s_like REFERENCING OLD TABLE AS old_table NEW TABLE AS new_table
FOR EACH STATEMENT
EXECUTE FUNCTION r.%1$s_aggregates_from_like;
$b$,
target_name,
creator_id_getter);
END
$a$;
CALL r.aggregates_from_like ('comment', '(SELECT creator_id FROM comment WHERE comment.id = target_aggregates.comment_id LIMIT 1)');
CALL r.aggregates_from_like ('post', 'target_aggregates.creator_id');
COMMIT;