Add temporary table with index for speeding up consumption graph query

This commit is contained in:
Paul Brinkmeier 2024-05-13 19:30:12 +02:00
parent 87366336c5
commit bd3ca2f413

View File

@ -74,30 +74,40 @@ LEFT JOIN garfield.inventory_items AS b
AND b.bought > a.bought AND b.bought > a.bought
GROUP BY a.item_id; GROUP BY a.item_id;
-- We need to create this table so that we can put an index on it
-- Otherwise the join in the consumption graph query becomes much slower
-- Perhaps it would be nicer to use a materialized view instead
DROP TABLE IF EXISTS last_n_days;
CREATE TEMPORARY TABLE last_n_days AS (
SELECT
generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
);
CREATE UNIQUE INDEX last_n_days_sale_date ON last_n_days (sale_date);
-- Get an array of how often items were sold over the last 14 days -- Get an array of how often items were sold over the last 14 days
CREATE TEMPORARY VIEW inventory_last_n_days_sales AS CREATE TEMPORARY VIEW inventory_last_n_days_sales AS
WITH WITH
last_n_days AS ( sales_by_date AS (
SELECT generate_series(now() - interval '14 days', now(), interval '1 day')::date AS sale_date
),
last_n_days_sales AS (
SELECT SELECT
item_id, inventory_line AS item_id,
sale_date, date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1') AS sale_date,
count(snack_sales_log_timestamp) AS sale_date_sales count(*)::int AS sales
FROM garfield.snack_sales_log
GROUP BY item_id, sale_date
),
beeg AS (
SELECT item_id, sale_date, count(snack_sales_log_timestamp)::int AS sales
FROM garfield.inventory_items FROM garfield.inventory_items
LEFT JOIN garfield.inventory_map ON item_id = inventory_id
-- Is there a better way of writing this?
-- TODO: Try to speed this query up
CROSS JOIN last_n_days CROSS JOIN last_n_days
LEFT JOIN garfield.snack_sales_log LEFT JOIN garfield.snack_sales_log
ON inventory_map.snack_id = snack_sales_log.snack_id ON inventory_line = item_id
AND DATE_TRUNC('day', snack_sales_log_timestamp) = sale_date -- snack_sales_log has an index on snack_sales_log_timestamp to speed up this query
-- If that index doesn't exist the query takes much longer.
AND sale_date = date_trunc('day', snack_sales_log_timestamp AT TIME ZONE 'UTC+1')
WHERE available
GROUP BY item_id, sale_date GROUP BY item_id, sale_date
ORDER BY item_id, sale_date ORDER BY item_id, sale_date
) )
SELECT SELECT item_id, array_agg(sales) AS last_n_days_sales
item_id, FROM beeg
array_agg(sale_date_sales) AS last_n_days_sales
FROM last_n_days_sales
GROUP BY item_id GROUP BY item_id