83 lines
2.7 KiB
SQL
83 lines
2.7 KiB
SQL
-- This query creates a users table and migrates the existing user
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-- information (from the posts table) into it.
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CREATE TABLE users (
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id SERIAL PRIMARY KEY,
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email VARCHAR NOT NULL UNIQUE,
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name VARCHAR NOT NULL,
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admin BOOLEAN NOT NULL DEFAULT false
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);
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-- Insert the 'anonymous' user explicitly:
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INSERT INTO users (name, email)
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VALUES ('Anonymous', 'anonymous@nothing.org');
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INSERT INTO users (id, email, name)
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SELECT nextval('users_id_seq'),
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author_email AS email,
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author_name AS name
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FROM posts
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WHERE author_email != 'anonymous@nothing.org'
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GROUP BY name, email;
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-- Create the 'user_id' column in the relevant tables (initially
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-- without a not-null constraint) and populate it with the data
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-- selected above:
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ALTER TABLE posts ADD COLUMN user_id INTEGER REFERENCES users (id);
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UPDATE posts SET user_id = users.id
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FROM users
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WHERE users.email = posts.author_email;
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ALTER TABLE threads ADD COLUMN user_id INTEGER REFERENCES users (id);
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UPDATE threads SET user_id = users.id
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FROM users
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WHERE users.email = threads.author_email;
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-- Add the constraints:
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ALTER TABLE posts ALTER COLUMN user_id SET NOT NULL;
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ALTER TABLE threads ALTER COLUMN user_id SET NOT NULL;
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-- Update the index view:
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CREATE OR REPLACE VIEW thread_index AS
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SELECT t.id AS thread_id,
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t.title AS title,
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ta.name AS thread_author,
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t.posted AS created,
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t.sticky AS sticky,
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p.id AS post_id,
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pa.name AS post_author,
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p.posted AS posted
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FROM threads t
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JOIN (SELECT DISTINCT ON (thread_id)
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id, thread_id, user_id, posted
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FROM posts
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ORDER BY thread_id, id DESC) AS p
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ON t.id = p.thread_id
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JOIN users ta ON ta.id = t.user_id
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JOIN users pa ON pa.id = p.user_id
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ORDER BY t.sticky DESC, p.id DESC;
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-- Update the search view:
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DROP MATERIALIZED VIEW search_index;
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CREATE MATERIALIZED VIEW search_index AS
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SELECT p.id AS post_id,
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pa.name AS author,
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t.id AS thread_id,
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t.title AS title,
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p.body AS body,
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setweight(to_tsvector('english', t.title), 'B') ||
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setweight(to_tsvector('english', p.body), 'A') ||
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setweight(to_tsvector('simple', ta.name), 'C') ||
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setweight(to_tsvector('simple', pa.name), 'C') AS document
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FROM posts p
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JOIN threads t ON t.id = p.thread_id
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JOIN users ta ON ta.id = t.user_id
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JOIN users pa ON pa.id = p.user_id;
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CREATE INDEX idx_fts_search ON search_index USING gin(document);
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-- And drop the old fields:
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ALTER TABLE posts DROP COLUMN author_name;
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ALTER TABLE posts DROP COLUMN author_email;
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ALTER TABLE threads DROP COLUMN author_name;
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ALTER TABLE threads DROP COLUMN author_email;
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