5.2.2: Логирование пути и версии миграций
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poignatov
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-- Migration: Rollback to MV using max_score and restore max_score column.
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DROP MATERIALIZED VIEW IF EXISTS projects_median_mv;
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ALTER TABLE weekly_goals ADD COLUMN IF NOT EXISTS max_score NUMERIC(10,4);
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UPDATE weekly_goals SET max_score = max_goal_score WHERE max_score IS NULL;
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DROP MATERIALIZED VIEW IF EXISTS weekly_report_mv;
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CREATE MATERIALIZED VIEW weekly_report_mv AS
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SELECT
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p.id AS project_id,
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agg.report_year,
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agg.report_week,
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COALESCE(agg.total_score, 0.0000) AS total_score,
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CASE
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WHEN wg.max_score IS NULL THEN COALESCE(agg.total_score, 0.0000)
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ELSE LEAST(COALESCE(agg.total_score, 0.0000), wg.max_score)
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END AS normalized_total_score
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FROM
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projects p
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LEFT JOIN
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(
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SELECT
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n.project_id,
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EXTRACT(ISOYEAR FROM n.created_date)::INTEGER AS report_year,
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EXTRACT(WEEK FROM n.created_date)::INTEGER AS report_week,
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SUM(n.score) AS total_score
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FROM
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nodes n
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WHERE
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(EXTRACT(ISOYEAR FROM n.created_date)::INTEGER < EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER)
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OR (EXTRACT(ISOYEAR FROM n.created_date)::INTEGER = EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER
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AND EXTRACT(WEEK FROM n.created_date)::INTEGER < EXTRACT(WEEK FROM CURRENT_DATE)::INTEGER)
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GROUP BY
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1, 2, 3
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) agg
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ON p.id = agg.project_id
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LEFT JOIN
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weekly_goals wg
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ON wg.project_id = p.id
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AND wg.goal_year = agg.report_year
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AND wg.goal_week = agg.report_week
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WHERE
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p.deleted = FALSE
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ORDER BY
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p.id, agg.report_year, agg.report_week
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WITH DATA;
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CREATE INDEX idx_weekly_report_mv_project_year_week
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ON weekly_report_mv(project_id, report_year, report_week);
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COMMENT ON MATERIALIZED VIEW weekly_report_mv IS 'Materialized view aggregating weekly scores by project using ISOYEAR for correct week calculations at year boundaries. Includes all projects via LEFT JOIN. Adds normalized_total_score using weekly_goals.max_score snapshot. Contains only historical data (excludes current week). Uses nodes.created_date (denormalized) instead of entries.created_date.';
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-- Recreate projects_median_mv (last 4 weeks per 000008)
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CREATE MATERIALIZED VIEW projects_median_mv AS
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SELECT
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p.id AS project_id,
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p.user_id,
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PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY normalized_total_score) AS median_score
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FROM (
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SELECT
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project_id,
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normalized_total_score,
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report_year,
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report_week,
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ROW_NUMBER() OVER (PARTITION BY project_id ORDER BY report_year DESC, report_week DESC) as rn
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FROM weekly_report_mv
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WHERE
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(report_year < EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER)
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OR (report_year = EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER
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AND report_week < EXTRACT(WEEK FROM CURRENT_DATE)::INTEGER)
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) sub
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JOIN projects p ON p.id = sub.project_id
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WHERE rn <= 4 AND p.deleted = FALSE
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GROUP BY p.id, p.user_id
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WITH DATA;
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CREATE INDEX idx_projects_median_mv_project_id ON projects_median_mv(project_id);
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CREATE INDEX idx_projects_median_mv_user_id ON projects_median_mv(user_id);
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COMMENT ON MATERIALIZED VIEW projects_median_mv IS 'Materialized view calculating median score for each project based on last 4 weeks of historical data. Includes user_id for multi-tenant support.';
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@@ -0,0 +1,82 @@
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-- Migration: Fix weekly_report_mv to use max_goal_score for normalized_total_score.
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-- Safe to run on DBs where 000020 was not applied (MV still uses max_score, column exists but is NULL).
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-- projects_median_mv depends on weekly_report_mv, so we drop and recreate it.
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DROP MATERIALIZED VIEW IF EXISTS projects_median_mv;
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DROP MATERIALIZED VIEW IF EXISTS weekly_report_mv;
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CREATE MATERIALIZED VIEW weekly_report_mv AS
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SELECT
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p.id AS project_id,
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agg.report_year,
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agg.report_week,
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COALESCE(agg.total_score, 0.0000) AS total_score,
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CASE
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WHEN wg.max_goal_score IS NULL THEN COALESCE(agg.total_score, 0.0000)
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ELSE LEAST(COALESCE(agg.total_score, 0.0000), wg.max_goal_score)
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END AS normalized_total_score
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FROM
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projects p
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LEFT JOIN
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(
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SELECT
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n.project_id,
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EXTRACT(ISOYEAR FROM n.created_date)::INTEGER AS report_year,
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EXTRACT(WEEK FROM n.created_date)::INTEGER AS report_week,
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SUM(n.score) AS total_score
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FROM
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nodes n
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WHERE
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(EXTRACT(ISOYEAR FROM n.created_date)::INTEGER < EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER)
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OR (EXTRACT(ISOYEAR FROM n.created_date)::INTEGER = EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER
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AND EXTRACT(WEEK FROM n.created_date)::INTEGER < EXTRACT(WEEK FROM CURRENT_DATE)::INTEGER)
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GROUP BY
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1, 2, 3
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) agg
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ON p.id = agg.project_id
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LEFT JOIN
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weekly_goals wg
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ON wg.project_id = p.id
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AND wg.goal_year = agg.report_year
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AND wg.goal_week = agg.report_week
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WHERE
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p.deleted = FALSE
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ORDER BY
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p.id, agg.report_year, agg.report_week
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WITH DATA;
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CREATE INDEX idx_weekly_report_mv_project_year_week
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ON weekly_report_mv(project_id, report_year, report_week);
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COMMENT ON MATERIALIZED VIEW weekly_report_mv IS 'Materialized view aggregating weekly scores by project using ISOYEAR for correct week calculations at year boundaries. Includes all projects via LEFT JOIN. Adds normalized_total_score using weekly_goals.max_goal_score. Contains only historical data (excludes current week). Uses nodes.created_date (denormalized) instead of entries.created_date.';
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-- Recreate projects_median_mv (depends on weekly_report_mv, last 4 weeks per 000008)
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CREATE MATERIALIZED VIEW projects_median_mv AS
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SELECT
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p.id AS project_id,
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p.user_id,
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PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY normalized_total_score) AS median_score
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FROM (
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SELECT
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project_id,
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normalized_total_score,
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report_year,
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report_week,
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ROW_NUMBER() OVER (PARTITION BY project_id ORDER BY report_year DESC, report_week DESC) as rn
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FROM weekly_report_mv
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WHERE
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(report_year < EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER)
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OR (report_year = EXTRACT(ISOYEAR FROM CURRENT_DATE)::INTEGER
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AND report_week < EXTRACT(WEEK FROM CURRENT_DATE)::INTEGER)
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) sub
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JOIN projects p ON p.id = sub.project_id
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WHERE rn <= 4 AND p.deleted = FALSE
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GROUP BY p.id, p.user_id
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WITH DATA;
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CREATE INDEX idx_projects_median_mv_project_id ON projects_median_mv(project_id);
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CREATE INDEX idx_projects_median_mv_user_id ON projects_median_mv(user_id);
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COMMENT ON MATERIALIZED VIEW projects_median_mv IS 'Materialized view calculating median score for each project based on last 4 weeks of historical data. Includes user_id for multi-tenant support.';
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ALTER TABLE weekly_goals DROP COLUMN IF EXISTS max_score;
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