Reputation: 125
Modifier allowLargeResults is set on and I have also tried interactive and batch query priority. There are 70M records in table search_results, 10M records in searches and about (just) 900 in buy table. And also the WHERE reduces the number of rows pretty well.
SELECT
s.flyFrom, s.to, s.typeFlight, r.price, b.price, b.affily
FROM [sptest.buy] AS b
INNER JOIN [sptest.search_results] AS r
ON b.booking_token=r.booking_token
INNER JOIN [sptest.searches] AS s
ON s.searchid=r.searchid
WHERE
DATE(r.saved_at) >= DATE('2015-06-23 00:00:00') AND
DATE(s.saved_at) >= DATE('2015-06-23 00:00:00')
LIMIT 10
Could the problem be caused by large joining keys? The booking_token key is variable size 50-600 chars.
Upvotes: 1
Views: 95
Reputation: 14014
I would do couple modifications to this query:
SELECT
s.flyFrom, s.to, s.typeFlight, r.price, b.price, b.affily
FROM [sptest.buy] AS b
INNER JOIN EACH
(SELECT * FROM [sptest.search_results] WHERE saved_at > DATE('2015-06-23 00:00:00')) AS r
ON b.booking_token=r.booking_token
INNER JOIN EACH
(SELECT * FROM [sptest.searches] WHERE saved_at > DATE('2015-06-23 00:00:00') AS s
ON s.searchid=r.searchid
LIMIT 10
Upvotes: 2